NR NTN PDSCH Throughput
This example shows how to measure the physical downlink shared channel (PDSCH) throughput of a 5G New Radio (NR) link in a non-terrestrial network (NTN) channel, as defined by the 3GPP NR standard. The example implements the PDSCH and downlink shared channel (DL-SCH). The transmitter model includes PDSCH demodulation reference signals (DM-RS) and PDSCH phase tracking reference signals (PT-RS). The example supports NTN narrowband and NTN tapped delay line (TDL) propagation channels.
Introduction
This example measures the PDSCH throughput of a 5G link, as defined by the 3GPP NR standards [1], [2], [3], [4].
The example models these 5G NR features:
DL-SCH transport channel coding
Multiple codewords, dependent on the number of layers
PDSCH, PDSCH DM-RS, and PDSCH PT-RS generation
Variable subcarrier spacing and frame numerologies
Normal and extended cyclic prefix
NTN narrowband and NTN TDL propagation channel models
Other features of the simulation are:
PDSCH precoding using singular value decomposition (SVD).
Cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) modulation.
Slot-wise and non-slot-wise PDSCH and DM-RS mapping.
Timing synchronization and channel estimation.
A single bandwidth part (BWP) across the whole carrier.
Doppler pre-compensation at the transmitter, and Doppler compensation at the receiver.
Optional hybrid automatic repeat request (HARQ) support up to 32 processes.
Optional power amplifier modeling with and without memory. The power amplifier modeling with memory requires RF Toolbox™.
Optional static and time-varying propagation delay modeling.
The figure shows the implemented processing chain. For clarity, DM-RS and PT-RS generation are omitted.
For a more detailed explanation of the steps implemented in this example, see Model 5G NR Communication Links and DL-SCH and PDSCH Transmit and Receive Processing Chain.
This example supports wideband and subband precoding. You determine the precoding matrix by using SVD and averaging the channel estimate across all PDSCH PRBs either in the allocation (for wideband precoding) or in the subband.
To reduce the total simulation time, you can use Parallel Computing Toolbox™ to execute the range of transmit power values of the transmit power loop in parallel.
Configure Simulation Length, Transmitter, and Receiver
Set the length of the simulation in terms of the number of 10 ms frames. By default, the example uses 2 frames, but a large number of 10 ms frames is necessary to produce meaningful throughput results. Set the range of transmit power values to simulate. The transmitter power is defined as the power of the time-domain waveform before performing Doppler pre-compensation and includes the gain of the power amplifier. The receiver includes its noise figure and the antenna temperature. The noise figure models the receiver internal noise, and the antenna temperature models the input noise. This receiver specifies the noise per antenna element.
simParameters = struct; % Create simParameters structure to % contain all key simulation parameters simParameters.NFrames = 2; % Number of 10 ms frames simParameters.TxPower = 60:65; % Transmit power (dBm) simParameters.RxNoiseFigure = 6; % Noise figure (dB) simParameters.RxAntennaTemperature = 290; % Antenna temperature (K)
Set the displaySimulationInformation
variable to true
to display information about the throughput simulation at each transmit power point.
displaySimulationInformation = true;
Power Amplifier Configuration
The example supports both memory and memoryless power amplifier modeling. To model the power amplifier with memory, this example requires RF Toolbox™.
To configure a memory or memoryless power amplifier nonlinearity, use the enablePA
variable. The input signal that is passed to the power amplifier is a normalized signal with the maximum signal amplitude.
Memoryless Power Amplifier
You can select one of these memoryless power amplifier models (paModel
), as defined in Annex A of TR 38.803.
2.1 GHz Gallium Arsenide (GaAs)
2.1 GHz Gallium Nitride (GaN)
28 GHz complementary metal-oxide semiconductor (CMOS)
28 GHz GaN
Alternatively, you can set paModel
to Custom
and use paCharacteristics
variable to define the memoryless power amplifier characteristics as a matrix with three columns. The first column defines the input power in dBm. The second column defines the output power in dBm. The third column defines the output phase in degrees. When you set the paCharacteristics
variable to empty and the paModel
to Custom
, this example uses a 2.1 GHz laterally-diffused metal-oxide semiconductor (LDMOS) Doherty-based amplifier.
When you set paModel
to a value other than Custom
, the memoryless nonlinearity applied to the waveform follows this equation for power amplifiers.
In this equation,
is the output signal.
is the input signal.
is the set of polynomial degree(s).
is the polynomial coefficient.
Power Amplifier With Memory
The nonlinearity with memory applied to the waveform follows this memory polynomial equation.
In this equation,
is the memory-polynomial depth.
is the memory-polynomial degree.
is the polynomial coefficient.
To model the power amplifier with memory, set the hasMemory
variable to true
and use the coefficients
variable to provide the polynomial coefficients. The coefficients
variable is a matrix with number of rows corresponding to memory-polynomial depth and number of columns corresponding to memory-polynomial degree. When you set coefficients
to empty, a default value is applied.
By default, the example sets enablePA
to false
.
enablePA = false; % true or false hasMemory = false; % true or false paModel = "2.1GHz GaAs"; % "2.1GHz GaAs", "2.1GHz GaN", "28GHz CMOS", "28GHz GaN", or "Custom" paCharacteristics = []; % Lookup table as empty or a matrix with columns: Pin (dBm) | Pout (dBm) | Phase (degrees) coefficients = []; % Memory polynomial coefficients
When you set enablePA
is true
, use the scaleFactor
variable to modify the maximum input signal amplitude to excite the power amplifier nonlinearity. scaleFactor
controls the operating region of the power amplifier and is applied for each transmit antenna. You can also use the scaleFactor
variable to set power backoff. For example, to provide a power backoff of 3 dB to a signal passed through the power amplifier, set scaleFactor
to -3. Ensure the input signal is within the characterization range of the power amplifier model.
When scaleFactor
is empty, the example uses a default value of -35 dB in these cases.
hasMemory
isfalse
,paModel
isCustom
, andpaCharacteristics
is empty.hasMemory
istrue
andcoefficients
is empty.
In all other cases, when you set scaleFactor
to empty, the example uses a default value of 0 dB.
scaleFactor = []; % Amplitude scaling, in dB
Doppler Compensation Configuration
The example supports two Doppler compensation configurations: one at the transmitter and the other at the receiver. For compensation at the transmitter, enable DopplerPreCompensator
. Setting the DopplerPreCompensator
field to true
accounts for Doppler due to satellite movement by applying Doppler pre-compensation to the transmitted waveform. For compensation at the receiver, enable the RxDopplerCompensator
field. Setting the RxDopplerCompensator
field to true
estimates and compensates the Doppler shift of the received waveform, using cyclic prefix and reference signals. When you set the RxDopplerCompensator
field to true
, you can select the technique for estimating and compensating Doppler at the receiver using the RxDopplerCompensationMethod
field. The RxDopplerCompensationMethod
field supports:
Independent time-frequency synchronization (
independent time-freq
), where the receiver compensates for frequency or Doppler shift first and then compensates for timing offset.Joint time-frequency synchronization (
joint time-freq
), where the receiver compensates for both frequency and time at once.
By default, this example assumes the user equipment (UE) is at the satellite beam center. To model a UE in the satellite beam other than the beam center (as shown in the next image) and to apply a Doppler shift common to all the UEs in a beam (), you can use the PreCompensationDopplerShift
field. When the PreCompensationDopplerShift
field is empty, the example uses the Doppler shift due to satellite at the UE () as . This example assumes is known. To observe the link performance when PreCompensationDopplerShift
field is nonempty, both DopplerPreCompensator
field and RxDopplerCompensator
field must be set to true
. Enabling DopplerPreCompensator
compensates , while enabling RxDopplerCompensator
compensates the residual satellite Doppler shift (-) along with Doppler shift due to UE movement.
simParameters.DopplerPreCompensator = true; simParameters.PreCompensationDopplerShift = []; % In Hz simParameters.RxDopplerCompensator = false; simParameters.RxDopplerCompensationMethod = "independent time-freq"; % The example uses below fields to estimate Doppler shift, when % RxDopplerCompensator is set to true and RxDopplerCompensationMethod is % set to joint time-freq. % Set the search range of Doppler shift in Hz [MIN,MAX] simParameters.FrequencyRange = [-50e3 50e3]; % Set the search range resolution of Doppler shift in Hz simParameters.FrequencyResolution = 1e3;
Initial Timing Synchronization Algorithm Selection
Select an algorithm for initial timing synchronization.
Auto correlation (
auto corr
): The receiver performs timing synchronization using auto correlation with PDSCH DM-RS.Differential correlation (
diff corr
): The receiver performs timing synchronization using differential correlation with PDSCH DM-RS.Joint time-frequency technique (
joint time-freq
): The receiver performs timing synchronization by compensating for initial frequency and initial timing at once.
simParameters.InitialTimingSynchronization = "joint time-freq"; % The example uses below fields to perform initial synchronization, when % InitialTimingSynchronization is set to joint time-freq. % Set the initial search range of Doppler shift in Hz [MIN,MAX] simParameters.InitialFrequencyRange = [-50e3 50e3]; % Set the initial search range resolution of Doppler shift in Hz simParameters.InitialFrequencyResolution = 1e3;
Carrier and PDSCH Configuration
Set the key parameters of the simulation. These parameters include:
Bandwidth in resource blocks (RBs)
Subcarrier spacing (SCS) in kHz: 15, 30, 60, 120, 240, 480, or 960
Cyclic prefix length (CP): normal or extended
Cell identity
Number of transmit and receive antennas
Create a substructure containing the DL-SCH and PDSCH parameters, including:
Target code rate
Allocated resource blocks (PRBSet)
Modulation scheme: QPSK, 16QAM, 64QAM, or 256QAM
Number of layers
PDSCH mapping type
DM-RS configuration parameters
PT-RS configuration parameters
% Set waveform type and PDSCH numerology (SCS and CP type) simParameters.Carrier = nrCarrierConfig; simParameters.Carrier.SubcarrierSpacing = 30; simParameters.Carrier.CyclicPrefix = "Normal"; % Bandwidth in number of RBs (11 RBs at 30 kHz SCS for 5 MHz bandwidth) simParameters.Carrier.NSizeGrid = 11; % Physical layer cell identity simParameters.Carrier.NCellID = 1; % PDSCH/DL-SCH parameters % This PDSCH definition is the basis for all PDSCH transmissions in the % throughput simulation simParameters.PDSCH = nrPDSCHConfig; % This structure is to hold additional simulation parameters for the DL-SCH % and PDSCH simParameters.PDSCHExtension = struct(); % Define PDSCH time-frequency resource allocation per slot to be full grid % (single full grid BWP) % PDSCH PRB allocation simParameters.PDSCH.PRBSet = 0:simParameters.Carrier.NSizeGrid-1; % Starting symbol and number of symbols of each PDSCH allocation simParameters.PDSCH.SymbolAllocation = [0,simParameters.Carrier.SymbolsPerSlot]; simParameters.PDSCH.MappingType = "A"; % Scrambling identifiers simParameters.PDSCH.NID = simParameters.Carrier.NCellID; simParameters.PDSCH.RNTI = 1; % PDSCH resource block mapping (TS 38.211 Section 7.3.1.6) simParameters.PDSCH.VRBToPRBInterleaving = 0; simParameters.PDSCH.VRBBundleSize = 4; % Define the number of transmission layers to be used simParameters.PDSCH.NumLayers = 1; % Define codeword modulation and target coding rate % The number of codewords is directly dependent on the number of layers so % ensure that layers are set first before getting the codeword number if simParameters.PDSCH.NumCodewords > 1 % Multicodeword transmission (when number of layers being > 4) simParameters.PDSCH.Modulation = ["16QAM","16QAM"]; % Code rate used to calculate transport block sizes simParameters.PDSCHExtension.TargetCodeRate = [490 490]/1024; else simParameters.PDSCH.Modulation = "16QAM"; % Code rate used to calculate transport block size simParameters.PDSCHExtension.TargetCodeRate = 490/1024; end % DM-RS and antenna port configuration (TS 38.211 Section 7.4.1.1) simParameters.PDSCH.DMRS.DMRSPortSet = []; % Use empty to auto-configure the DM-RS ports simParameters.PDSCH.DMRS.DMRSTypeAPosition = 2; simParameters.PDSCH.DMRS.DMRSLength = 1; simParameters.PDSCH.DMRS.DMRSAdditionalPosition = 2; simParameters.PDSCH.DMRS.DMRSConfigurationType = 2; simParameters.PDSCH.DMRS.NumCDMGroupsWithoutData = 1; simParameters.PDSCH.DMRS.NIDNSCID = 1; simParameters.PDSCH.DMRS.NSCID = 0; % PT-RS configuration (TS 38.211 Section 7.4.1.2) simParameters.PDSCH.EnablePTRS = 0; simParameters.PDSCH.PTRS.TimeDensity = 1; simParameters.PDSCH.PTRS.FrequencyDensity = 2; simParameters.PDSCH.PTRS.REOffset = "00"; % PT-RS antenna port, subset of DM-RS port set. Empty corresponds to lowest % DM-RS port number simParameters.PDSCH.PTRS.PTRSPortSet = []; % Reserved PRB patterns, if required (for CORESETs, forward compatibility etc) simParameters.PDSCH.ReservedPRB{1}.SymbolSet = []; % Reserved PDSCH symbols simParameters.PDSCH.ReservedPRB{1}.PRBSet = []; % Reserved PDSCH PRBs simParameters.PDSCH.ReservedPRB{1}.Period = []; % Periodicity of reserved resources % Additional simulation and DL-SCH related parameters % PDSCH PRB bundling (TS 38.214 Section 5.1.2.3) simParameters.PDSCHExtension.PRGBundleSize = []; % 2, 4, or [] to signify "wideband" % Rate matching or transport block size (TBS) parameters % Set PDSCH rate matching overhead for TBS (Xoh) to 6 when PT-RS is enabled, otherwise 0 simParameters.PDSCHExtension.XOverhead = 6*simParameters.PDSCH.EnablePTRS; % HARQ parameters % Number of parallel HARQ processes to use simParameters.PDSCHExtension.NHARQProcesses = 1; % Enable retransmissions for each process, using redundancy version (RV) sequence [0,2,3,1] simParameters.PDSCHExtension.EnableHARQ = false; % LDPC decoder parameters % Available algorithms: Belief propagation, Layered belief propagation, % Normalized min-sum, Offset min-sum simParameters.PDSCHExtension.LDPCDecodingAlgorithm = "Normalized min-sum"; simParameters.PDSCHExtension.MaximumLDPCIterationCount = 6; % Define the overall transmission antenna geometry at end-points % For NTN narrowband channel, only single-input-single-output (SISO) % transmission is allowed % Number of PDSCH transmission antennas (1,2,4,8,16,32,64,128,256,512,1024) >= NumLayers simParameters.NumTransmitAntennas = 1; if simParameters.PDSCH.NumCodewords > 1 % Multi-codeword transmission % Number of UE receive antennas (even number >= NumLayers) simParameters.NumReceiveAntennas = 8; else % Number of UE receive antennas (1 or even number >= NumLayers) simParameters.NumReceiveAntennas = 1; end % Define data type for resource grids and waveforms simParameters.DataType = "double";
Get information about the baseband waveform after the OFDM modulation step.
waveformInfo = nrOFDMInfo(simParameters.Carrier);
Propagation Channel Model Construction
Create the channel model object for the simulation. Both the NTN narrowband and NTN TDL channel models are supported [5], [6]. For more information on how to model NTN narrowband and NTN TDL channels, see Model NR NTN Channel (Satellite Communications Toolbox).
% Define the general NTN propagation channel parameters % Set the NTN channel type to Narrowband for an NTN narrowband channel and % set the NTN channel type to TDL for an NTN TDL channel. simParameters.NTNChannelType = "Narrowband"; % Include or exclude free space path loss simParameters.IncludeFreeSpacePathLoss = true; % Delay model configuration % This example models only one-way propagation delay and provides immediate % feedback without any delay simParameters.DelayModel = "None"; % "None", "Static", or "Time-varying" % Set the parameters common to both NTN narrowband and NTN TDL channels simParameters.CarrierFrequency = 2e9; % Carrier frequency (in Hz) simParameters.ElevationAngle = 50; % Elevation angle (in degrees) simParameters.MobileSpeed = 3*1000/3600; % Speed of mobile terminal (in m/s) simParameters.MobileAltitude = 0; % Mobile altitude (in m) simParameters.SatelliteAltitude = 600000; % Satellite altitude (in m) simParameters.SampleRate = waveformInfo.SampleRate; simParameters.RandomStream = "mt19937ar with seed"; simParameters.Seed = 73; simParameters.OutputDataType = simParameters.DataType; % Set the following fields for NTN narrowband channel if simParameters.NTNChannelType == "Narrowband" simParameters.Environment = "Urban"; simParameters.AzimuthOrientation = 0; end % Set the following fields for NTN TDL channel if simParameters.NTNChannelType == "TDL" simParameters.DelayProfile = "NTN-TDL-A"; simParameters.DelaySpread = 30e-9; end % Cross-check the PDSCH layering against the channel geometry validateNumLayers(simParameters); % Calculate the Doppler shift due to satellite movement c = physconst("lightspeed"); satelliteDopplerShift = dopplerShiftCircularOrbit( ... simParameters.ElevationAngle,simParameters.SatelliteAltitude, ... simParameters.MobileAltitude,simParameters.CarrierFrequency); % Define NTN narrowband channel based on the specified fields in % simParameters structure if simParameters.NTNChannelType == "Narrowband" channel = p681LMSChannel; channel.Environment = simParameters.Environment; channel.AzimuthOrientation = simParameters.AzimuthOrientation; channel.CarrierFrequency = simParameters.CarrierFrequency; channel.ElevationAngle = simParameters.ElevationAngle; channel.MobileSpeed = simParameters.MobileSpeed; channel.SatelliteDopplerShift = satelliteDopplerShift; end % Define NTN TDL channel based on specified fields in simParameters % structure if simParameters.NTNChannelType == "TDL" channel = nrTDLChannel; channel.DelayProfile = simParameters.DelayProfile; channel.DelaySpread = simParameters.DelaySpread; channel.SatelliteDopplerShift = satelliteDopplerShift; channel.MaximumDopplerShift = ... simParameters.MobileSpeed*simParameters.CarrierFrequency/c; channel.NumTransmitAntennas = simParameters.NumTransmitAntennas; channel.NumReceiveAntennas = simParameters.NumReceiveAntennas; end % Assign the parameters common to both TDL and narrowband channels channel.SampleRate = simParameters.SampleRate; channel.RandomStream = simParameters.RandomStream; channel.Seed = simParameters.Seed; % Get the maximum number of delayed samples due to a channel multipath % component. The maximum number of delayed samples is calculated from the % channel path with the maximum delay and the implementation delay of the % channel filter. This number of delay samples is required later to buffer % and process the received signal with the expected length. chInfo = info(channel); maxChDelay = ceil(max(chInfo.PathDelays*channel.SampleRate)) + ... chInfo.ChannelFilterDelay;
Processing Loop
To determine the throughput at each transmit power point, analyze the PDSCH data for each transmission instance using these steps.
Generate the transport block — Get the transport block size for each codeword depending on the PDSCH configuration. Generate new transport block(s) for each transmission depending on the transmission status for given HARQ process.
Generate the resource grid — The
nrDLSCH
System object™ performs transport channel coding. The object operates on the input transport block. ThenrPDSCH
function modulates the encoded data bits. Apply an implementation-specific multiple-input-multiple-output (MIMO) precoding to the modulated symbols. Map these modulated symbols along with reference signal to the resource grid.Generate the waveform — The
nrOFDMModulate
function provides the time-domain waveform by performing OFDM modulation of the generated resource grid. Normalize the waveform with the maximum waveform amplitude for each antenna.Apply power amplifier nonlinearities — Scale the amplitude of normalized waveform depending on the input scaling factor. Apply the memory or memoryless power amplifier nonlinearities to the baseband OFDM waveform. Scale the waveform power to the desired transmit power.
Apply Doppler pre-compensation — Apply the Doppler shift due to satellite movement to the generated waveform to pre-compensate the channel induced satellite Doppler shift.
Model and apply a noisy channel — Delay the generated waveform depending on the propagation latency. Pass the delayed waveform through an NTN narrowband or NTN TDL fading channel to get the faded waveform. Apply path loss and add thermal noise to the faded waveform.
Perform initial synchronization — Check the presence of signal using energy detection. After energy detection, the received waveform uses the PDSCH DM-RS of initial slot to get the initial timing offset. Perform this step till the initial synchronization is achieved.
Apply Doppler compensation — Estimate the Doppler shift in the received waveform and compensate the Doppler shift.
Perform synchronization and OFDM demodulation — For timing synchronization, the received waveform is correlated with the PDSCH DM-RS. The
nrOFDMDemodulate
function then OFDM-demodulates the synchronized signal.Perform channel estimation — For channel estimation, PDSCH DM-RS is used.
Perform equalization and CPE compensation — The
nrEqualizeMMSE
function equalizes the received PDSCH REs. Use the PT-RS symbols to estimate the common phase error (CPE) and then correct the error in each OFDM symbol within the range of the reference PT-RS OFDM symbols.Calculate precoding matrix — Use SVD to generate the precoding matrix W for the next transmission.
Decode the PDSCH — Demodulate and descramble the equalized PDSCH symbols, along with a noise estimate using the
nrPDSCHDecode
function to obtain an estimate of the received codewords.Decode the DL-SCH — Pass the decoded soft bits through the
nrDLSCHDecoder
System object. The object decodes the codeword and returns the block cyclic redundancy check (CRC) error. Update the HARQ process with the CRC error. This example determines the throughput of the PDSCH link using the CRC error.
% Compute the noise amplitude per receive antenna kBoltz = physconst("boltzmann"); NF = 10^(simParameters.RxNoiseFigure/10); T0 = 290; % Noise temperature at the input (K) Teq = simParameters.RxAntennaTemperature + T0*(NF-1); % K N0_ampl = sqrt(kBoltz*waveformInfo.SampleRate*Teq/2.0); % Number of transmit power points numTxPowerPoints = length(simParameters.TxPower); % Array to store the maximum throughput for all transmit power points maxThroughput = zeros(numTxPowerPoints,1); % Array to store the simulation throughput for all transmit power points simThroughput = zeros(numTxPowerPoints,1); % Array to store the signal-to-noise ratio (SNR) for all transmit power points snrVec = zeros(numTxPowerPoints,1); % Common Doppler shift for use in the simulations if isempty(simParameters.PreCompensationDopplerShift) commonDopplerShift = satelliteDopplerShift; else commonDopplerShift = simParameters.PreCompensationDopplerShift; end % Set up RV sequence for all HARQ processes if simParameters.PDSCHExtension.EnableHARQ % In the final report of RAN WG1 meeting #91 (R1-1719301), it was % observed in R1-1717405 that if performance is the priority, [0 2 3 1] % should be used. If self-decodability is the priority, it should be % taken into account that the upper limit of the code rate at which % each RV is self-decodable is in the following order: 0>3>2>1 rvSeq = [0 2 3 1]; else % In case of HARQ disabled, RV is set to 0 rvSeq = 0; end % Create DL-SCH encoder System object to perform transport channel encoding encodeDLSCH = nrDLSCH; encodeDLSCH.MultipleHARQProcesses = true; encodeDLSCH.TargetCodeRate = simParameters.PDSCHExtension.TargetCodeRate; % Create DL-SCH decoder System object to perform transport channel decoding decodeDLSCH = nrDLSCHDecoder; decodeDLSCH.MultipleHARQProcesses = true; decodeDLSCH.TargetCodeRate = simParameters.PDSCHExtension.TargetCodeRate; decodeDLSCH.LDPCDecodingAlgorithm = simParameters.PDSCHExtension.LDPCDecodingAlgorithm; decodeDLSCH.MaximumLDPCIterationCount = ... simParameters.PDSCHExtension.MaximumLDPCIterationCount; % Compute path loss based on the elevation angle and satellite altitude slantDist = slantRangeCircularOrbit(simParameters.ElevationAngle, ... simParameters.SatelliteAltitude,simParameters.MobileAltitude); lambda = c/simParameters.CarrierFrequency; pathLoss = fspl(slantDist,lambda)*double(simParameters.IncludeFreeSpacePathLoss); % in dB % Get the slot time based on subcarrier spacing symLen = cumsum(waveformInfo.SymbolLengths); nSymbSlot = simParameters.Carrier.SymbolsPerSlot; nSubFrames = 10; samples = [0 symLen(nSymbSlot:nSymbSlot:end-1)]'./waveformInfo.SampleRate; subframeTimes = (0:(simParameters.NFrames*nSubFrames)-1)*1e-3; slotTimes = cast(reshape(samples+subframeTimes,[],1),simParameters.DataType); % Maximum variable propagation delay maxVarPropDelay = 0; % Compute static delay in seconds and samples delayInSeconds = cast(slantDist./c,simParameters.DataType); delayInSamples = delayInSeconds.*waveformInfo.SampleRate; integDelaySamples = floor(delayInSamples); fracDelaySamples = (delayInSamples - integDelaySamples); numVariableFracDelaySamples = repmat(fracDelaySamples,1, ... (simParameters.Carrier.SlotsPerFrame*simParameters.NFrames) + 1); numVariableIntegSamples = 0; pathLoss = repmat(pathLoss,1,numel(slotTimes)); % Initialize configuration objects for delay modeling if simParameters.DelayModel == "None" staticDelay = dsp.Delay(Length=0); variableIntegerDelay = 0; variableFractionalDelay = 0; delayInSeconds = 0; elseif simParameters.DelayModel == "Static" staticDelay = dsp.Delay(Length=integDelaySamples); variableIntegerDelay = 0; variableFractionalDelay = dsp.VariableFractionalDelay(... InterpolationMethod="Farrow", ... FarrowSmallDelayAction="Use off-centered kernel", ... MaximumDelay=1); else % Model time-varying delay assuming satellite moves in a circular orbit. % The example applies delay for each slot and assumes there is no % significant change in delay for each sample. % Calculate delay across the simulation time in steps of slot time SU = slantRangeCircularOrbit(simParameters.ElevationAngle, ... simParameters.SatelliteAltitude,simParameters.MobileAltitude,slotTimes); pathLoss = fspl(SU,lambda).*double(simParameters.IncludeFreeSpacePathLoss); delayInSeconds = SU./c; delayInSamples = delayInSeconds.*waveformInfo.SampleRate; % Compute dynamic range of delay and configure the delay objects % accordingly integDelaySamples = floor(delayInSamples); numStaticDelaySamples = min(integDelaySamples); remVariableDelaySamples = delayInSamples - numStaticDelaySamples; staticDelay = dsp.Delay(Length=numStaticDelaySamples); numVariableIntegSamples = floor(remVariableDelaySamples); numVariableIntegSamples(numVariableIntegSamples < 0) = 0; maxVarPropDelay = max(numVariableIntegSamples)+2; variableIntegerDelay = dsp.VariableIntegerDelay(... MaximumDelay=maxVarPropDelay); numVariableFracDelaySamples = remVariableDelaySamples - numVariableIntegSamples; variableFractionalDelay = dsp.VariableFractionalDelay( ... InterpolationMethod="Farrow", ... FarrowSmallDelayAction="Use off-centered kernel", ... MaximumDelay=1); end % Check the number of HARQ processes and initial propagation delay initialSlotDelay = find(slotTimes>=delayInSeconds(1),1)-1; if simParameters.PDSCHExtension.EnableHARQ if simParameters.PDSCHExtension.NHARQProcesses < initialSlotDelay error("In case of HARQ, this example supports transmission of continuous data only. " + ... "Set the number of HARQ processes (" + (simParameters.PDSCHExtension.NHARQProcesses) +... ") to a value greater than or equal to the maximum propagation delay in slots (" + ... initialSlotDelay +").") end end % Initial frequency shift search space if simParameters.InitialTimingSynchronization == "joint time-freq" inifVals = simParameters.InitialFrequencyRange(1):simParameters.InitialFrequencyResolution:simParameters.InitialFrequencyRange(2); else inifVals = 0; end % Frequency shift search space if simParameters.RxDopplerCompensator == 1 ... && simParameters.RxDopplerCompensationMethod == "joint time-freq" fVals = simParameters.FrequencyRange(1):simParameters.FrequencyResolution:simParameters.FrequencyRange(2); else % In case of no receiver Doppler compensation, treat the frequency % value is 0 Hz. fVals = 0; end % Initialize the power amplifier function handle or System object depending % on the input configuration paInputScaleFactor = 0; % in dB hpaDelay = 0; if hasMemory == 1 hpa = rf.PAmemory; % Requires RF Toolbox if isempty(coefficients) hpa.CoefficientMatrix = getDefaultCoefficients; paInputScaleFactor = -35; else hpa.CoefficientMatrix = coefficients; end hpa.UnitDelay = 1; hpaDelay = size(hpa.CoefficientMatrix,1)-1; else if paModel == "Custom" if isempty(paCharacteristics) hpa = comm.MemorylessNonlinearity(Method="Lookup table", ... Table=getDefaultLookup); paInputScaleFactor = -35; else hpa = comm.MemorylessNonlinearity(Method="Lookup table", ... Table=paCharacteristics); end elseif paModel == "2.1GHz GaAs" hpa = @(in) paMemorylessGaAs2Dot1GHz(in); elseif paModel == "2.1GHz GaN" hpa = @(in) paMemorylessGaN2Dot1GHz(in); elseif paModel == "28GHz CMOS" hpa = @(in) paMemorylessCMOS28GHz(in); else % "28GHz GaN" hpa = @(in) paMemorylessGaN28GHz(in); end end % Repeat hpa to have independent processing for each antenna hpa = repmat({hpa},1,simParameters.NumTransmitAntennas); % Update the power amplifier input scaling factor, based on scaleFactor if ~isempty(scaleFactor) paInputScaleFactor = scaleFactor; end % Set a threshold value to detect the valid OFDM symbol boundary. For a % SISO case, a threshold of 0.48 can be used to have probability of % incorrect boundary detection around 0.01. Use 0 to avoid thresholding % logic. dtxThresold = 0.48; % Use an offset to account for the common delay. The example, by default, % does not introduce any common delay and only passes through the channel. sampleDelayOffset = 0; % Number of samples % Set usePreviousShift variable to true, to use the shift value estimated % in first slot directly for the consecutive slots. When set to false, the % shift is calculated for each slot, considering the range of shift values % to be whole cyclic prefix length. This is used in the estimation of % integer Doppler shift. usePreviousShift = false; % Set useDiffCorr variable to true, to use the shift estimated from % differential correlation directly in the integer Doppler shift % estimation. When set to false, the range of shift values also include the % shift estimated from differential correlation. useDiffCorr = true; % Set the amplitude scaling factor to use in energy detection. For the % default case, a factor of 1.03 is used to avoid missed detections at 60 % dBm transmit power. A value of 0 assumes each sample is an actual signal. amplThreshold = 1.03; % Use the minimum number of samples for a slot in the whole frame as % window length mrms = dsp.MovingRMS; slotsPerSubFrameFlag = simParameters.Carrier.SlotsPerSubframe > 1; mrms.WindowLength = symLen((1+(slotsPerSubFrameFlag))*simParameters.Carrier.SymbolsPerSlot) ... -slotsPerSubFrameFlag*symLen(simParameters.Carrier.SymbolsPerSlot); % Processing loop for txPowIdx = 1:numTxPowerPoints % Comment out for parallel computing % parfor txPowIdx = 1:numTxPowerPoints % Uncomment for parallel computing % To reduce the total simulation time, you can execute this loop in % parallel by using Parallel Computing Toolbox features. Comment % out the for-loop statement and uncomment the parfor-loop statement. % If Parallel Computing Toolbox is not installed, parfor-loop defaults % to a for-loop statement. Because the parfor-loop iterations are % executed in parallel in a nondeterministic order, the simulation % information displayed for each transmit power point can be intertwined. % To switch off the simulation information display, set the % displaySimulationInformation variable (defined earlier in this % example) to false. % Reset the random number generator so that each transmit power point % experiences the same noise realization rng(0,"twister"); % Make copies of the simulation-level parameter structures so that they % are not Parallel Computing Toolbox broadcast variables when using parfor simLocal = simParameters; waveinfoLocal = waveformInfo; % Make copies of channel-level parameters to simplify subsequent % parameter referencing carrier = simLocal.Carrier; rxCarrier = carrier; pdsch = simLocal.PDSCH; pdschextra = simLocal.PDSCHExtension; % Copy of the decoder handle to help Parallel Computing Toolbox % classification decodeDLSCHLocal = decodeDLSCH; decodeDLSCHLocal.reset(); % Reset decoder at the start of each transmit power point % Make copies of intermediate variables to have warning-free execution % with Parallel Computing Toolbox thres = dtxThresold; sampleOffset = sampleDelayOffset; usePrevShift = usePreviousShift; useDiffCorrFlag = useDiffCorr; N0 = N0_ampl; pl_dB = pathLoss; varIntegSamples = numVariableIntegSamples; varFracSamples = numVariableFracDelaySamples; fValsVec = fVals; inifValsVec = inifVals; threshFactor = amplThreshold; initialDelay = initialSlotDelay; preDopplerShift = commonDopplerShift; % Initialize temporary variables offset = 0; shiftOut = 0; txHarqProc = 0; rxHarqProc = 0; prevWave = []; pathFilters = []; rxBuff = []; syncCheck = true; % Reset the channel so that each transmit power point experiences the % same channel realization reset(channel); % Reset the power amplifier for numHPA = 1:numel(hpa) if ~isa(hpa{numHPA},"function_handle") reset(hpa{numHPA}) end end % Reset the delay objects reset(staticDelay) if isa(variableIntegerDelay,"dsp.VariableIntegerDelay") reset(variableIntegerDelay) end if isa(variableFractionalDelay,"dsp.VariableFractionalDelay") reset(variableFractionalDelay) end % Reset the moving RMS object reset(mrms) % Transmit power value in dBm txPowerdBm = simLocal.TxPower(txPowIdx); % Specify the order in which we cycle through the HARQ process % identifiers harqSequence = 0:pdschextra.NHARQProcesses-1; % Initialize the state of all HARQ processes % Create a parallel array of all HARQ processes harqEntity = cell(pdschextra.NHARQProcesses,1); for harqId = 1:pdschextra.NHARQProcesses harqEntity{harqId} = HARQEntity(harqSequence(harqId),rvSeq,pdsch.NumCodewords); end % Total number of slots in the simulation period NSlots = simLocal.NFrames*carrier.SlotsPerFrame; % Obtain a precoding matrix (wtx) to use in the transmission of the % first transport block [estChannelGrid,sampleTimes] = getInitialChannelEstimate(... carrier,simLocal.NumTransmitAntennas,channel,simLocal.DataType); newWtx = getPrecodingMatrix(carrier,pdsch,estChannelGrid,pdschextra.PRGBundleSize); % Loop over the entire waveform length for nslot = 0:NSlots-1 % Update carrier slot number to account for new slot transmission carrier.NSlot = nslot; % Calculate the transport block sizes for the transmission in the slot [pdschIndices,pdschIndicesInfo] = nrPDSCHIndices(carrier,pdsch); trBlkSizes = nrTBS(pdsch.Modulation,pdsch.NumLayers,numel(pdsch.PRBSet),... pdschIndicesInfo.NREPerPRB,pdschextra.TargetCodeRate,pdschextra.XOverhead); % Set transport block depending on the HARQ process for cwIdx = 1:pdsch.NumCodewords % Create a new DL-SCH transport block for new data in the % current process if harqEntity{txHarqProc+1}.NewData(cwIdx) trBlk = randi([0 1],trBlkSizes(cwIdx),1,'int8'); setTransportBlock(encodeDLSCH,trBlk,cwIdx-1,harqEntity{txHarqProc+1}.HARQProcessID); % Flush decoder soft buffer explicitly for any new data % because of previous RV sequence time out if harqEntity{txHarqProc+1}.SequenceTimeout(cwIdx) resetSoftBuffer(decodeDLSCHLocal,cwIdx-1,harqEntity{txHarqProc+1}.HARQProcessID); end end end % Encode the DL-SCH transport blocks codedTrBlocks = encodeDLSCH(pdsch.Modulation,pdsch.NumLayers, ... pdschIndicesInfo.G,harqEntity{txHarqProc+1}.RedundancyVersion, ... harqEntity{txHarqProc+1}.HARQProcessID); % Get precoding matrix (wtx) calculated in previous slot wtx = newWtx; % Perform PDSCH modulation pdschSymbols = nrPDSCH(carrier,pdsch,codedTrBlocks); % Create resource grid associated with PDSCH transmission antennas pdschGrid = nrResourceGrid(carrier,simLocal.NumTransmitAntennas, ... OutputDataType=simLocal.DataType); % Perform implementation-specific PDSCH MIMO precoding and mapping [pdschAntSymbols,pdschAntIndices] = nrPDSCHPrecode( ... carrier,pdschSymbols,pdschIndices,wtx); pdschGrid(pdschAntIndices) = pdschAntSymbols; % Perform implementation-specific PDSCH DM-RS MIMO precoding and % mapping dmrsSymbols = nrPDSCHDMRS(carrier,pdsch); dmrsIndices = nrPDSCHDMRSIndices(carrier,pdsch); [dmrsAntSymbols,dmrsAntIndices] = nrPDSCHPrecode( ... carrier,dmrsSymbols,dmrsIndices,wtx); pdschGrid(dmrsAntIndices) = dmrsAntSymbols; % Perform implementation-specific PDSCH PT-RS MIMO precoding and % mapping ptrsSymbols = nrPDSCHPTRS(carrier,pdsch); ptrsIndices = nrPDSCHPTRSIndices(carrier,pdsch); [ptrsAntSymbols,ptrsAntIndices] = nrPDSCHPrecode( ... carrier,ptrsSymbols,ptrsIndices,wtx); pdschGrid(ptrsAntIndices) = ptrsAntSymbols; % Perform OFDM modulation txWaveform0 = nrOFDMModulate(carrier,pdschGrid); % Normalize the waveform with maximum waveform amplitude txWaveform = txWaveform0./max(abs(txWaveform0)); % Adjust the waveform amplitude and pass the waveform through power % amplifier if (enablePA == 1) % Scale the amplitude of the waveform, as applicable txWaveform = txWaveform.*db2mag(paInputScaleFactor); % Pass the adjusted waveform through the power amplifier for colIdx = 1:size(txWaveform,2) hpaTemp = hpa{colIdx}; txWaveform(:,colIdx) = hpaTemp(txWaveform(:,colIdx)); end end % Scale the waveform power based on the input transmit power wavePower = 10*log10(sum(var(txWaveform))); powerScaling = (txPowerdBm-30)-wavePower; % In dB txWaveform = db2mag(powerScaling)*txWaveform; % Apply Doppler pre-compensation depending on DopplerPreCompensator % field txWaveform = compensateDopplerShift(... txWaveform,channel.SampleRate, ... preDopplerShift,simLocal.DopplerPreCompensator); % Apply path loss to the signal txWaveform = txWaveform*db2mag(-pl_dB(carrier.NSlot+1)); % Apply fixed or static delay delayedTx = staticDelay(txWaveform); % Apply variable integer delay if isa(variableIntegerDelay,"dsp.VariableIntegerDelay") delayedTx = variableIntegerDelay(delayedTx,varIntegSamples(carrier.NSlot+1)); end % Apply variable fractional delay if isa(variableFractionalDelay,"dsp.VariableFractionalDelay") delayedTx = variableFractionalDelay(delayedTx,varFracSamples(carrier.NSlot+1)); end % Pass the waveform through the channel txWaveform = delayedTx; [rxWaveform,pathGains] = channel(txWaveform); % Add thermal noise to the received time-domain waveform. Multiply % the noise variance with 2 as wgn function performs the scaling % within. noise = wgn(size(rxWaveform,1),size(rxWaveform,2),2*(N0^2),1,"linear","complex"); sigPowerRE = sum(var(rxWaveform))*((waveinfoLocal.Nfft)^2/(carrier.NSizeGrid*12)); noisePowerRE = sum(var(noise))*(waveinfoLocal.Nfft); snrVec(txPowIdx) = snrVec(txPowIdx) + sigPowerRE./noisePowerRE; rxWaveform = rxWaveform + cast(noise,simLocal.DataType); % Update the transmit HARQ process number if pdschextra.EnableHARQ txHarqProc = mod(txHarqProc+1,pdschextra.NHARQProcesses); end % Compute the moving RMS of the signal and perform energy detection % for initial synchronization metric = mrms(complex(rxWaveform)); idx = metric > (sqrt(2)*N0*threshFactor); if ~any(idx(:)) && (rxCarrier.NSlot == 0) % Store the waveform that didn't pass the metric to use for % initial synchronization prevWave = rxWaveform; continue; end % Provide a warning when initial synchronization is missed if (rxCarrier.NSlot == 0) && syncCheck syncCheck = false; if (carrier.NSlot > initialDelay) warning("Initial slot synchronization is missed for transmit power of %d dBm. " + ... "This can cause failure of all the slots. " + ... "For proper synchronization, increase the transmit power.",txPowerdBm) end end % Buffer all the valid signal such that the length of 3 slots is % used for initial synchronization, and some portion of previous % slot is used for next slot. rxBuff = [rxBuff;prevWave;rxWaveform]; %#ok<AGROW> prevWave = []; if (size(rxBuff,1) < (3*(mrms.WindowLength))) && (rxCarrier.NSlot == 0) continue else % Here onwards reception happens continuously % Use the whole buffered waveform for receiver and generate the % reference signals for this particular slot to use for % waveform processing. rxData = rxBuff; refDMRSSymbols = nrPDSCHDMRS(rxCarrier,pdsch); refDMRSIndices = nrPDSCHDMRSIndices(rxCarrier,pdsch); refPTRSSymbols = nrPDSCHPTRS(rxCarrier,pdsch); refPTRSIndices = nrPDSCHPTRSIndices(rxCarrier,pdsch); end % Gather the number of samples to be processed in current % receiver slot. % 1. Find the number of cyclic prefix samples used in the current % receiver slot and sum of all samples % 2. Add the FFT size corresponding to number of OFDM symbols % in current slot with the resultant value in step 1 cpl = circshift(waveinfoLocal.CyclicPrefixLengths,-rxCarrier.NSlot*rxCarrier.SymbolsPerSlot); numSamplesInRxSlot = waveinfoLocal.Nfft*rxCarrier.SymbolsPerSlot + sum(cpl(1:rxCarrier.SymbolsPerSlot)); % Due to large Doppler shift, the estimate using the DM-RS % correlation gives an inaccurate estimate. Thus, perform joint % time and Doppler shift estimation for the received signal to get % the initial timing offset. if rxCarrier.NSlot == 0 if simLocal.InitialTimingSynchronization == "auto corr" initialOffset = nrTimingEstimate(rxCarrier,rxData,refDMRSIndices,refDMRSSymbols); elseif simLocal.InitialTimingSynchronization == "diff corr" initialOffset = diffcorr(rxCarrier,rxData,refDMRSIndices,refDMRSSymbols); else initialOffset = jointTimeFreq(rxCarrier,rxData,refDMRSIndices,refDMRSSymbols,... inifValsVec); end d = maxVarPropDelay; if d > initialOffset d = initialOffset; end else % Use the timing estimate for the required number of samples initialOffset = 0; d = 0; end % From the starting position provided by initial offset, consider % the length of received waveform such that all the delays due to % channel, power amplifier, and propagation distance are covered. totalDelay = maxChDelay+maxVarPropDelay+hpaDelay; endIdx = initialOffset+numSamplesInRxSlot+totalDelay; if endIdx > size(rxData,1) endIdx = size(rxData,1); end rxWaveform = rxData(initialOffset+1:endIdx,:); % Update the buffer with portion of present slot data to process % the next slot rxBuff = rxData(initialOffset-d+(numSamplesInRxSlot+1):end,:); if simLocal.RxDopplerCompensator && ... simLocal.RxDopplerCompensationMethod == "joint time-freq" % Perform joint time-frequency synchronization [offset,fOEst] = jointTimeFreq(rxCarrier,rxWaveform,refDMRSIndices,refDMRSSymbols,... fValsVec); % Compensate Doppler shift rxWaveform = compensateDopplerShift(rxWaveform,waveinfoLocal.SampleRate, ... fOEst,true); % Estimate and compensate the residual Doppler shift [fractionalDopplerShift,detFlag] = estimateFractionalDopplerShift( ... rxWaveform,rxCarrier.SubcarrierSpacing,waveinfoLocal.Nfft, ... waveinfoLocal.CyclicPrefixLengths(2),0,true); rxWaveform = compensateDopplerShift(rxWaveform,waveinfoLocal.SampleRate, ... fractionalDopplerShift,true); % Get the estimated Doppler shift value estimatedDS = fractionalDopplerShift + fOEst; else % Perform fractional Doppler frequency shift estimation and % compensation. Use the cyclic prefix in the OFDM waveform to % compute the fractional Doppler shift. [fractionalDopplerShift,detFlag] = estimateFractionalDopplerShift( ... rxWaveform,rxCarrier.SubcarrierSpacing,waveinfoLocal.Nfft, ... waveinfoLocal.CyclicPrefixLengths(2),thres, ... simLocal.RxDopplerCompensator); rxWaveform = compensateDopplerShift(rxWaveform,waveinfoLocal.SampleRate, ... fractionalDopplerShift,simLocal.RxDopplerCompensator); % Perform integer Doppler frequency shift estimation and % compensation. Use the demodulation reference signals to % compute the integer Doppler shift. [integerDopplerShift,shiftOut] = estimateIntegerDopplerShift( ... rxCarrier,rxWaveform,refDMRSIndices,refDMRSSymbols,sampleOffset, ... usePrevShift,useDiffCorrFlag,shiftOut-sampleOffset,totalDelay, ... (simLocal.RxDopplerCompensator && detFlag)); rxWaveform = compensateDopplerShift(rxWaveform,waveinfoLocal.SampleRate, ... integerDopplerShift,simLocal.RxDopplerCompensator); % Get the estimated Doppler shift value estimatedDS = fractionalDopplerShift + integerDopplerShift; % For timing synchronization, correlate the received waveform with % the PDSCH DM-RS to give timing offset estimate t and correlation % magnitude mag. The function hSkipWeakTimingOffset is used to % update the receiver timing offset. If the correlation peak in mag % is weak, the current timing estimate t is ignored and the % previous estimate offset is used. [t,mag] = nrTimingEstimate(rxCarrier,rxWaveform, ... refDMRSIndices,refDMRSSymbols); offset = hSkipWeakTimingOffset(offset,t,mag); end rxWaveform = rxWaveform(1+offset:end,:); if size(rxWaveform,1) > numSamplesInRxSlot rxWaveform = rxWaveform(1:numSamplesInRxSlot,:); end % Perform OFDM demodulation on the received data to recreate the % resource grid. Include zero padding in the event that practical % synchronization results in an incomplete slot being demodulated. rxGrid = nrOFDMDemodulate(rxCarrier,rxWaveform); [K,L,R] = size(rxGrid); if (L < rxCarrier.SymbolsPerSlot) rxGrid = cat(2,rxGrid,zeros(K,rxCarrier.SymbolsPerSlot-L,R)); end % Perform least squares channel estimation between the received % grid and each transmission layer, using the PDSCH DM-RS for each % layer. This channel estimate includes the effect of transmitter % precoding. [estChannelGrid,noiseEst] = nrChannelEstimate(rxCarrier,rxGrid,... refDMRSIndices,refDMRSSymbols,'CDMLengths',pdsch.DMRS.CDMLengths); % Get PDSCH REs from the received grid and estimated channel grid [pdschRx,pdschHest] = nrExtractResources(... pdschIndices,rxGrid,estChannelGrid); % Remove precoding from estChannelGrid prior to precoding % matrix calculation estChannelGridPorts = precodeChannelEstimate(... rxCarrier,estChannelGrid,conj(wtx)); % Get precoding matrix for next slot newWtx = getPrecodingMatrix(... rxCarrier,pdsch,estChannelGridPorts,pdschextra.PRGBundleSize); % Perform equalization [pdschEq,csi] = nrEqualizeMMSE(pdschRx,pdschHest,noiseEst); % Common phase error (CPE) compensation if ~isempty(refPTRSIndices) % Initialize temporary grid to store equalized symbols tempGrid = nrResourceGrid(rxCarrier,pdsch.NumLayers); % Extract PT-RS symbols from received grid and estimated % channel grid [ptrsRx,ptrsHest,~,~,~,ptrsLayerIndices] = ... nrExtractResources(refPTRSIndices,rxGrid,estChannelGrid,tempGrid); % Equalize PT-RS symbols and map them to tempGrid ptrsEq = nrEqualizeMMSE(ptrsRx,ptrsHest,noiseEst); tempGrid(ptrsLayerIndices) = ptrsEq; % Estimate the residual channel at the PT-RS locations in % tempGrid cpe = nrChannelEstimate(tempGrid,refPTRSIndices,refPTRSSymbols,... CyclicPrefix=rxCarrier.CyclicPrefix); % Sum estimates across subcarriers, receive antennas, and % layers. Then, get the CPE by taking the angle of the % resultant sum cpe = angle(sum(cpe,[1 3 4])); % Map the equalized PDSCH symbols to tempGrid tempGrid(pdschIndices) = pdschEq; % Correct CPE in each OFDM symbol within the range of reference % PT-RS OFDM symbols symLoc = ... pdschIndicesInfo.PTRSSymbolSet(1)+1:pdschIndicesInfo.PTRSSymbolSet(end)+1; tempGrid(:,symLoc,:) = tempGrid(:,symLoc,:).*exp(-1i*cpe(symLoc)); % Extract PDSCH symbols pdschEq = tempGrid(pdschIndices); end if ~any(isnan(pdschEq)) % Decode PDSCH symbols [dlschLLRs,rxSymbols] = nrPDSCHDecode(rxCarrier,pdsch,pdschEq,noiseEst); % Scale the decoded log-likelihood ratios (LLRs) by channel state % information (CSI) csi = nrLayerDemap(csi); % CSI layer demapping for cwIdx = 1:pdsch.NumCodewords Qm = length(dlschLLRs{cwIdx})/length(rxSymbols{cwIdx}); % Bits per symbol csi{cwIdx} = repmat(csi{cwIdx}.',Qm,1); % Expand by each bit % per symbol dlschLLRs{cwIdx} = dlschLLRs{cwIdx} .* csi{cwIdx}(:); % Scale by CSI end % Decode the DL-SCH transport channel decodeDLSCHLocal.TransportBlockLength = trBlkSizes; [decbits,blkerr] = decodeDLSCHLocal(dlschLLRs,pdsch.Modulation,... pdsch.NumLayers,harqEntity{rxHarqProc+1}.RedundancyVersion,... harqEntity{rxHarqProc+1}.HARQProcessID); else blkerr = true; end % Store values to calculate throughput simThroughput(txPowIdx) = simThroughput(txPowIdx) + sum(~blkerr .* trBlkSizes); maxThroughput(txPowIdx) = maxThroughput(txPowIdx) + sum(trBlkSizes); % Update current process with CRC error and increment slot number updateProcess(harqEntity{rxHarqProc+1},blkerr,trBlkSizes,pdschIndicesInfo.G); rxCarrier.NSlot = rxCarrier.NSlot + 1; % Increment the receiver HARQ process number if pdschextra.EnableHARQ rxHarqProc = mod(rxHarqProc+1,pdschextra.NHARQProcesses); end end % Display the results if displaySimulationInformation == 1 snrdb = pow2db(snrVec(txPowIdx)./NSlots); if rxCarrier.NSlot == 0 fprintf("\nNo slot is processed in the receiver at transmit power %d dBm (modeled SNR per RE %.4f dB)", ... txPowerdBm,snrdb); else fprintf("\nThroughput(Mbps) for %d frame(s) at transmit power %d dBm (modeled SNR per RE %.4f dB): %.4f\n",... simLocal.NFrames,txPowerdBm,snrdb,1e-6*simThroughput(txPowIdx)/(simLocal.NFrames*10e-3)); fprintf("Throughput(%%) for %d frame(s) at transmit power %d dBm (modeled SNR per RE %.4f dB): %.4f\n",... simLocal.NFrames,txPowerdBm,snrdb,simThroughput(txPowIdx)*100/maxThroughput(txPowIdx)); end end end
Throughput(Mbps) for 2 frame(s) at transmit power 60 dBm (modeled SNR per RE 5.3762 dB): 0.0000
Throughput(%) for 2 frame(s) at transmit power 60 dBm (modeled SNR per RE 5.3762 dB): 0.0000
Throughput(Mbps) for 2 frame(s) at transmit power 61 dBm (modeled SNR per RE 6.3762 dB): 0.0000
Throughput(%) for 2 frame(s) at transmit power 61 dBm (modeled SNR per RE 6.3762 dB): 0.0000
Throughput(Mbps) for 2 frame(s) at transmit power 62 dBm (modeled SNR per RE 7.3762 dB): 0.3368
Throughput(%) for 2 frame(s) at transmit power 62 dBm (modeled SNR per RE 7.3762 dB): 5.2632
Throughput(Mbps) for 2 frame(s) at transmit power 63 dBm (modeled SNR per RE 8.3762 dB): 5.8940
Throughput(%) for 2 frame(s) at transmit power 63 dBm (modeled SNR per RE 8.3762 dB): 92.1053
Throughput(Mbps) for 2 frame(s) at transmit power 64 dBm (modeled SNR per RE 9.3762 dB): 6.3992
Throughput(%) for 2 frame(s) at transmit power 64 dBm (modeled SNR per RE 9.3762 dB): 100.0000
Throughput(Mbps) for 2 frame(s) at transmit power 65 dBm (modeled SNR per RE 10.3762 dB): 6.3992
Throughput(%) for 2 frame(s) at transmit power 65 dBm (modeled SNR per RE 10.3762 dB): 100.0000
Results
Display the measured throughput, which is the percentage of the maximum possible throughput of the link given the available resources for data transmission.
figure; plot(simParameters.TxPower,simThroughput*100./maxThroughput,'o-.') xlabel('Input Transmit Power (dBm)'); ylabel('Throughput (%)'); grid on; title(sprintf('NTN %s (%dx%d) / NRB=%d / SCS=%dkHz', ... simParameters.NTNChannelType,simParameters.NumTransmitAntennas, ... simParameters.NumReceiveAntennas,simParameters.Carrier.NSizeGrid,... simParameters.Carrier.SubcarrierSpacing));
% Bundle key parameters and results into a combined structure for recording
simResults.simParameters = simParameters;
simResults.simThroughput = simThroughput;
simResults.maxThroughput = maxThroughput;
This next figure shows the throughput results obtained by simulating 1000 frames (NFrames = 1000
, TxPower = 60:70
) for a carrier with a 30 kHz SCS occupying a 5 MHz transmission bandwidth. The simulation setup includes the default carrier and PDSCH configuration with an NTN narrowband channel. The line corresponding to the Doppler Pre-compensation is achieved by setting the DopplerPreCompensator
field to true
, PreCompensationDopplerShift
to []
, and RxDopplerCompensator
field to false
. The line corresponding to the Rx Doppler Compensation is achieved by setting the DopplerPreCompensator
field to false
, RxDopplerCompensator
field to true
, and RxDopplerCompensationMethod
field to "independent time-freq"
.
Further Exploration
You can use this example to further explore these options:
To analyze the throughput at each transmit power for a different satellite orbit, vary the satellite altitude and satellite speed.
To observe the link performance without any Doppler compensation techniques, set
DopplerPreCompensator
andRxDopplerCompensator
fields tofalse
.To observe the link performance in case of no Doppler pre-compensation and using receiver techniques to compensate Doppler shift, set the
DopplerPreCompensator
field tofalse
andRxDopplerCompensator
field totrue
. Select either "joint time-freq" or "independent time-freq" method for receiver Doppler compensation.To check the throughput performance of different scenarios, change the carrier numerology and the number of transmit and receive antennas, and set the channel model type to TDL.
To check the throughput performance in the presence of propagation delay, set the
DelayModel
to"Static"
or"Time-varying"
.To compare the throughput performance in an NTN and terrestrial network, use the
nrTDLChannel
and thenrCDLChannel
channel objects as shown in NR PDSCH Throughput.
Supporting Files
The example uses these helper functions:
HARQEntity
— Manage a set of parallel HARQ processeshSkipWeakTimingOffset
— Skip timing offset estimates with weak correlation
Selected Bibliography
[1] 3GPP TS 38.211. "NR; Physical channels and modulation." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[2] 3GPP TS 38.212. "NR; Multiplexing and channel coding." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[3] 3GPP TS 38.213. "NR; Physical layer procedures for control." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[4] 3GPP TS 38.214. "NR; Physical layer procedures for data." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[5] 3GPP TR 38.901. "Study on channel model for frequencies from 0.5 to 100 GHz." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[6] 3GPP TR 38.811. "Study on new radio (NR) to support non-terrestrial networks." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[7] 3GPP TR 38.821. "Solutions for NR to support non-terrestrial networks (NTN)." 3rd Generation Partnership Project; Technical Specification Group Radio Access Network.
[8] ITU-R Recommendation P.681-11 (08/2019). "Propagation data required for the design systems in the land mobile-satellite service." P Series; Radio wave propagation.
Local Functions
function validateNumLayers(simParameters) % Validate the number of layers, relative to the antenna geometry numlayers = simParameters.PDSCH.NumLayers; ntxants = simParameters.NumTransmitAntennas; nrxants = simParameters.NumReceiveAntennas; if contains(simParameters.NTNChannelType,'Narrowband','IgnoreCase',true) if (ntxants ~= 1) || (nrxants ~= 1) error(['For NTN narrowband channel, ' ... 'the number of transmit and receive antennas must be 1.']); end end antennaDescription = sprintf(... 'min(NumTransmitAntennas,NumReceiveAntennas) = min(%d,%d) = %d', ... ntxants,nrxants,min(ntxants,nrxants)); if numlayers > min(ntxants,nrxants) error('The number of layers (%d) must satisfy NumLayers <= %s', ... numlayers,antennaDescription); end % Display a warning if the maximum possible rank of the channel equals % the number of layers if (numlayers > 2) && (numlayers == min(ntxants,nrxants)) warning(['The maximum possible rank of the channel, given by %s, is equal to' ... ' NumLayers (%d). This may result in a decoding failure under some channel' ... ' conditions. Try decreasing the number of layers or increasing the channel' ... ' rank (use more transmit or receive antennas).'],antennaDescription, ... numlayers); %#ok<SPWRN> end end function [estChannelGrid,sampleTimes] = getInitialChannelEstimate(... carrier,nTxAnts,channel,dataType) % Obtain channel estimate before first transmission. Use this function to % obtain a precoding matrix for the first slot. ofdmInfo = nrOFDMInfo(carrier); chInfo = info(channel); maxChDelay = ceil(max(chInfo.PathDelays*channel.SampleRate)) ... + chInfo.ChannelFilterDelay; % Temporary waveform (only needed for the sizes) tmpWaveform = zeros(... (ofdmInfo.SampleRate/1000/carrier.SlotsPerSubframe)+maxChDelay,nTxAnts,dataType); % Filter through channel and get the path gains and path filters [~,pathGains,sampleTimes] = channel(tmpWaveform); if isa(channel,'nrTDLChannel') pathFilters = getPathFilters(channel); else pathFilters = chInfo.ChannelFilterCoefficients.'; end % Perfect timing synchronization offset = nrPerfectTimingEstimate(pathGains,pathFilters); % Perfect channel estimate estChannelGrid = nrPerfectChannelEstimate(... carrier,pathGains,pathFilters,offset,double(sampleTimes)); end function wtx = getPrecodingMatrix(carrier,pdsch,hestGrid,prgbundlesize) % Calculate precoding matrices for all precoding resource block groups % (PRGs) in the carrier that overlap with the PDSCH allocation % Maximum common resource block (CRB) addressed by carrier grid maxCRB = carrier.NStartGrid + carrier.NSizeGrid - 1; % PRG size if nargin==4 && ~isempty(prgbundlesize) Pd_BWP = prgbundlesize; else Pd_BWP = maxCRB + 1; end % PRG numbers (1-based) for each RB in the carrier grid NPRG = ceil((maxCRB + 1) / Pd_BWP); prgset = repmat((1:NPRG),Pd_BWP,1); prgset = prgset(carrier.NStartGrid + (1:carrier.NSizeGrid).'); [~,~,R,P] = size(hestGrid); wtx = zeros([pdsch.NumLayers P NPRG],'like',hestGrid); for i = 1:NPRG % Subcarrier indices within current PRG and within the PDSCH % allocation thisPRG = find(prgset==i) - 1; thisPRG = intersect(thisPRG,pdsch.PRBSet(:) + carrier.NStartGrid,'rows'); prgSc = (1:12)' + 12*thisPRG'; prgSc = prgSc(:); if (~isempty(prgSc)) % Average channel estimate in PRG estAllocGrid = hestGrid(prgSc,:,:,:); Hest = permute(mean(reshape(estAllocGrid,[],R,P)),[2 3 1]); % SVD decomposition [~,~,V] = svd(Hest); wtx(:,:,i) = V(:,1:pdsch.NumLayers).'; end end wtx = wtx / sqrt(pdsch.NumLayers); % Normalize by NumLayers end function estChannelGrid = precodeChannelEstimate(carrier,estChannelGrid,W) % Apply precoding matrix W to the last dimension of the channel estimate [K,L,R,P] = size(estChannelGrid); estChannelGrid = reshape(estChannelGrid,[K*L R P]); estChannelGrid = nrPDSCHPrecode( ... carrier,estChannelGrid,reshape(1:numel(estChannelGrid),[K*L R P]),W); estChannelGrid = reshape(estChannelGrid,K,L,R,[]); end function [loc,wMovSum,pho,bestAnt] = detectOFDMSymbolBoundary(rxWave,nFFT,cpLen,thres) % Detect OFDM symbol boundary by calculating correlation of cyclic prefix % Capture the dimensions of received waveform [NSamples,R] = size(rxWave); % Append zeros of length nFFT across each receive antenna to the % received waveform waveformZeroPadded = [rxWave;zeros(nFFT,R,'like',rxWave)]; % Get the portion of waveform till the last nFFT samples wavePortion1 = waveformZeroPadded(1:end-nFFT,:); % Get the portion of waveform delayed by nFFT wavePortion2 = waveformZeroPadded(1+nFFT:end,:); % Get the energy of each sample in both the waveform portions eWavePortion1 = abs(wavePortion1).^2; eWavePortion2 = abs(wavePortion2).^2; % Initialize the temporary variables wMovSum = zeros([NSamples R]); wEnergyPortion1 = zeros([NSamples+cpLen-1 R]); wEnergyPortion2 = wEnergyPortion1; % Perform correlation for each sample with the sample delayed by nFFT waveCorr = wavePortion1.*conj(wavePortion2); % Calculate the moving sum value for each cpLen samples, across each % receive antenna oneVec = ones(cpLen,1); for i = 1:R wConv = conv(waveCorr(:,i),oneVec); wMovSum(:,i) = wConv(cpLen:end); wEnergyPortion1(:,i) = conv(eWavePortion1(:,i),oneVec); wEnergyPortion2(:,i) = conv(eWavePortion2(:,i),oneVec); end % Get the normalized correlation value for the moving sum matrix pho = abs(wMovSum)./ ... (eps+sqrt(wEnergyPortion1(cpLen:end,:).*wEnergyPortion2(cpLen:end,:))); % Detect the peak locations in each receive antenna based on the % threshold. These peak locations correspond to the starting location % of each OFDM symbol in the received waveform. loc = cell(R,1); m = zeros(R,1); phoFactor = ceil(NSamples/nFFT); phoExt = [pho; -1*ones(phoFactor*nFFT - NSamples,R)]; for col = 1:R p1 = reshape(phoExt(:,i),[],phoFactor); [pks,locTemp] = max(p1); locTemp = locTemp + (0:phoFactor-1).*nFFT; indicesToConsider = pks>=thres; loc{col} = locTemp(indicesToConsider); m(col) = max(pks); end bestAnt = find(m == max(m)); end function [out,detFlag] = estimateFractionalDopplerShift(rxWave,scs, ... nFFT,cpLen,thres,flag) % Estimate the fractional Doppler shift using cyclic prefix if flag % Detect the OFDM boundary locations [loc,wMovSum,~,bestAnt] = detectOFDMSymbolBoundary(rxWave, ... nFFT,cpLen,thres); % Get the average correlation value at the peak locations for the % first receive antenna having maximum correlation value wSamples = nan(1,1); if ~isempty(loc{bestAnt(1)}) wSamples(1) = mean(wMovSum(loc{bestAnt(1)},bestAnt(1))); end % Compute the fractional Doppler shift if ~all(isnan(wSamples)) out = -(mean(angle(wSamples),'omitnan')*scs*1e3)/(2*pi); % Flag to indicate that there is at least one OFDM symbol % detected detFlag = 1; else out = 0; detFlag = 0; end else out = 0; detFlag = 0; end end function [out,shiftOut] = estimateIntegerDopplerShift(carrier,rx,refInd, ... refSym,sampleOffset,usePrevShift,useDiffCorr,shiftIn,maxOffset,flag) % Estimate the integer Doppler shift using demodulation reference signal if flag % Get OFDM information ofdmInfo = nrOFDMInfo(carrier); cpLen = ofdmInfo.CyclicPrefixLengths(1); % Highest cyclic prefix length K = carrier.NSizeGrid*12; % Number of subcarriers L = carrier.SymbolsPerSlot; % Number of OFDM symbols in slot P = ceil(max(double(refInd(:))/(K*L))); % Number of layers % Find the timing offset using differential correlation offset = diffcorr(carrier,rx,refInd,refSym); if offset > maxOffset offset = 0; end % Range of shift values to be used in integer frequency offset % estimation if useDiffCorr % Use offset directly in the shift values shiftValues = offset+1; else shiftValues = sampleOffset + shiftIn; if ~(usePrevShift && (shiftIn > 0)) % Update range of shift values such that whole cyclic prefix % length is covered shiftValues = sampleOffset + (1:(cpLen+offset)); end end % Initialize temporary variables shiftLen = length(shiftValues); maxValue = complex(zeros(shiftLen,1)); binIndex = zeros(shiftLen,1); [rxLen,R] = size(rx); xWave = zeros([rxLen P],'like',rx); % Generate reference waveform refGrid = nrResourceGrid(carrier,P); refGrid(refInd) = refSym; refWave = nrOFDMModulate(carrier,refGrid,'Windowing',0); refWave = [refWave; zeros((rxLen-size(refWave,1)),P,'like',refWave)]; % Find the fast Fourier transform (FFT) bin corresponding to % maximum correlation value for each shift value for shiftIdx = 1:shiftLen % Use the waveform from the shift value and append zeros tmp = rx(shiftValues(shiftIdx):end,:); rx = [tmp; zeros(rxLen-size(tmp,1),R)]; % Compute the correlation of received waveform with reference % waveform across different layers and receive antennas for rIdx = 1:R for p = 1:P xWave(:,rIdx,p) = ... rx(:,rIdx).*conj(refWave(1:length(rx(:,rIdx)),p)); end end % Aggregate the correlated waveform across multiple ports and % compute energy of the resultant for each receive antenna x1 = sum(xWave,3); x1P = sum(abs(x1).^2); % Find the index of first receive antenna which has maximum % correlation energy idx = find(x1P == max(x1P),1); % Combine the received waveform which have maximum correlation % energy xWaveCombined = sum(x1(:,idx(1)),2); % Compute FFT of the resultant waveform xWaveCombinedTemp = buffer(xWaveCombined,ofdmInfo.Nfft); xFFT = sum(fftshift(fft(xWaveCombinedTemp)),2); % Store the value and location of peak [maxValue(shiftIdx),binIndex(shiftIdx)] = max(xFFT); end % FFT bin values fftBinValues = (-ofdmInfo.Nfft/2:(ofdmInfo.Nfft/2-1))*(ofdmInfo.SampleRate/ofdmInfo.Nfft); % Find the shift index that corresponds to the maximum of peak % value of all the shifted waveforms. Use the FFT bin index % corresponding to this maximum shift index. The FFT bin value % corresponding to this bin index is the integer frequency offset. [~,maxId] = max(maxValue); loc = binIndex(maxId); out = fftBinValues(loc); shiftOut = shiftValues(maxId); else out = 0; shiftOut = 1+sampleOffset; end end function out = compensateDopplerShift(inWave,fs,fdSat,flag) % Perform Doppler shift correction t = (0:size(inWave,1)-1)'/fs; if flag out = inWave.*exp(1j*2*pi*(-fdSat)*t); else out = inWave; end end function [offset,mag] = diffcorr(carrier,rx,refInd,refSym) % Perform differential correlation for the received signal % Get the number of subcarriers, OFDM symbols, and layers K = carrier.NSizeGrid*12; % Number of subcarriers L = carrier.SymbolsPerSlot; % Number of OFDM symbols in slot P = ceil(max(double(refInd(:))/(K*L))); % Number of layers % Generate the reference signal refGrid = nrResourceGrid(carrier,P); refGrid(refInd) = refSym; refWave = nrOFDMModulate(carrier,refGrid,'Windowing',0); % Get the differential of the received signal and reference signal waveform = conj(rx(1:end-1,:)).*rx(2:end,:); ref = conj(refWave(1:end-1,:)).*refWave(2:end,:); [T,R] = size(waveform); % To normalize the xcorr behavior, pad the input waveform to make it % longer than the reference signal refLen = size(ref,1); waveformPad = [waveform; zeros([refLen-T R],'like',waveform)]; % Store correlation magnitude for each time sample, receive antenna and % port mag = zeros([max(T,refLen) R P],'like',waveformPad); for r = 1:R for p = 1:P % Correlate the given antenna of the received signal with the % given port of the reference signal refcorr = xcorr(waveformPad(:,r),ref(:,p)); mag(:,r,p) = abs(refcorr(T:end)); end end % Sum the magnitudes of the ports mag = sum(mag,3); % Find timing peak in the sum of the magnitudes of the receive antennas [~,peakindex] = max(sum(mag,2)); offset = peakindex - 1; end function [tO,fO] = jointTimeFreq(carrier,rx,refInd,refSym,fSearchSpace) % Perform joint time-frequency synchronization numFreqVals = length(fSearchSpace); peakVal = zeros(numFreqVals,1); peakIdx = peakVal; ofdmInfo = nrOFDMInfo(carrier); fs = ofdmInfo.SampleRate; for fIdx = 1:numFreqVals rxCorrected = compensateDopplerShift(rx,fs,fSearchSpace(fIdx),true); [~,corr] = nrTimingEstimate(carrier,rxCorrected,refInd,refSym); corr = sum(abs(corr),2); [peakVal(fIdx),peakIdx(fIdx)] = max(corr); end [~,id] = max(peakVal); % Estimate frequency shift and timing offset fO = fSearchSpace(id); tO = peakIdx(id)-1; end % Functions to model power amplifier nonlinearity function out = paMemorylessGaAs2Dot1GHz(in) % 2.1 GHz GaAs absIn = abs(in).^(2*(1:7)); out = (-0.618347-0.785905i) * in + (2.0831-1.69506i) * in .* absIn(:,1) + ... (-14.7229+16.8335i) * in .* absIn(:,2) + (61.6423-76.9171i) * in .* absIn(:,3) + ... (-145.139+184.765i) * in .* absIn(:,4) + (190.61-239.371i)* in .* absIn(:,5) + ... (-130.184+158.957i) * in .* absIn(:,6) + (36.0047-42.5192i) * in .* absIn(:,7); end function out = paMemorylessGaN2Dot1GHz(in) % 2.1 GHz GaN absIn = abs(in).^(2*(1:4)); out = (0.999952-0.00981788i) * in + (-0.0618171+0.118845i) * in .* absIn(:,1) + ... (-1.69917-0.464933i) * in .* absIn(:,2) + (3.27962+0.829737i) * in .* absIn(:,3) + ... (-1.80821-0.454331i) * in .* absIn(:,4); end function out = paMemorylessCMOS28GHz(in) % 28 GHz CMOS absIn = abs(in).^(2*(1:7)); out = (0.491576+0.870835i) * in + (-1.26213+0.242689i) * in .* absIn(:,1) + ... (7.11693+5.14105i) * in .* absIn(:,2) + (-30.7048-53.4924i) * in .* absIn(:,3) + ... (73.8814+169.146i) * in .* absIn(:,4) + (-96.7955-253.635i)* in .* absIn(:,5) + ... (65.0665+185.434i) * in .* absIn(:,6) + (-17.5838-53.1786i) * in .* absIn(:,7); end function out = paMemorylessGaN28GHz(in) % 28 GHz GaN absIn = abs(in).^(2*(1:5)); out = (-0.334697-0.942326i) * in + (0.89015-0.72633i) * in .* absIn(:,1) + ... (-2.58056+4.81215i) * in .* absIn(:,2) + (4.81548-9.54837i) * in .* absIn(:,3) + ... (-4.41452+8.63164i) * in .* absIn(:,4) + (1.54271-2.94034i)* in .* absIn(:,5); end function paChar = getDefaultLookup % The operating specification for the LDMOS-based Doherty % amplifier are: % * A frequency of 2110 MHz % * A peak power of 300 W % * A small signal gain of 61 dB % Each row in HAV08_Table specifies Pin (dBm), gain (dB), phase % shift (degrees) as derived from figure 4 of Hammi, Oualid, et % al. "Power amplifiers' model assessment and memory effects % intensity quantification using memoryless post-compensation % technique." IEEE Transactions on Microwave Theory and % Techniques 56.12 (2008): 3170-3179. HAV08_Table =... [-35,60.53,0.01; -34,60.53,0.01; -33,60.53,0.08; -32,60.54,0.08; -31,60.55,0.1; -30,60.56,0.08; -29,60.57,0.14; -28,60.59,0.19; -27,60.6,0.23; -26,60.64,0.21; -25,60.69,0.28; -24,60.76,0.21; -23,60.85,0.12; -22,60.97,0.08; -21,61.12,-0.13; -20,61.31,-0.44; -19,61.52,-0.94; -18,61.76,-1.59; -17,62.01,-2.73; -16,62.25,-4.31; -15,62.47,-6.85; -14,62.56,-9.82; -13,62.47,-12.29; -12,62.31,-13.82; -11,62.2,-15.03; -10,62.15,-16.27; -9,62,-18.05; -8,61.53,-20.21; -7,60.93,-23.38; -6,60.2,-26.64; -5,59.38,-28.75]; % Convert the second column of the HAV08_Table from gain to % Pout for use by the memoryless nonlinearity System object. paChar = HAV08_Table; paChar(:,2) = paChar(:,1) + paChar(:,2); end function out = getDefaultCoefficients % The 2.44 GHz memory polynomial model defined in TR 38.803 % Appendix A. Memory-polynomial depth is 5 and % memory-polynomial degree is 5. Rows in the output corresponds % to memory depth. out = [20.0875+0.4240i -6.3792-0.5507i 0.5809+0.0644i 1.6619+0.1040i -0.3561-0.1033i; ... -59.8327-34.7815i -2.4805+0.9344i 4.2741+0.7696i -2.0014-2.3785i -1.2566+1.0495i; ... 3.2738e2+8.4121e2i 4.4019e2-3.0714e1i -3.5935e2-9.9152e0i 1.6961e2+7.3829e1i -4.1661-21.1090i; ... -1.6352e3-5.5757e3i -2.5782e3+3.3332e2i 1.9915e3-1.4479e2i -9.0167e2-5.4617e2i -93.1907+14.2774i; ... 2.3022e3+1.2348e4i 4.6476e3-1.4477e3i -2.9998e3+1.6071e3i 9.1856e2+9.8066e2i 8.2544e2+6.1424e2i].'; end