End-to-End Simulation
Use 5G Toolbox™ functions to model end-to-end 5G NR communication links. The examples featured on this page show various link-level block error rate (BLER) simulations with TDL and CDL channel models. You can also implement AI workflows in your 5G NR applications by incorporating Deep Learning Toolbox™ features.
Categories
- Propagation Channel Models
CDL, TDL, and HST channel models and path loss configuration
- AI for 5G NR
Deep learning workflows for 5G NR
Featured Examples
NR PDSCH Throughput
Measure PDSCH throughput of the 5G NR downlink.
NR PUSCH Throughput
Measure PUSCH throughput of the 5G NR uplink.
NR PUCCH Block Error Rate
Measure BLER of uplink control information (UCI) transmitted on physical uplink control channel (PUCCH) in a 5G NR link.
TDD Reciprocity-Based PDSCH MU-MIMO Using SRS
Implement downlink MU-MIMO by exploiting channel reciprocity in a TDD scenario.
5G NR PRACH Detection and False Alarm Test
Measure the probability of correct detection of the PRACH preamble in the presence of a preamble signal.
NR Uplink Channel State Information Estimation Using SRS
Use sounding reference signals (SRS) for synchronization, channel estimation, and uplink channel state information (CSI) estimation.
NR SSB Beam Sweeping
Employ beam sweeping at gNB and UE and learn about beam management procedures during initial access.
NR Downlink Transmit-End Beam Refinement Using CSI-RS
Transmit multiple CSI-RS resources in different directions in a scattering environment and select the optimal transmit beam based on RSRP.
NR Phase Noise Modeling and Compensation
Analyze the impact of phase noise in a 5G OFDM system and use PT-RS in compensating the CPE.
5G NR Downlink CSI Reporting
Calculate and compare the CSI (CQI, PMI, and RI) parameters using CSI-RS with practical and perfect channel estimation.
Include Path Loss in NR Link-Level Simulations
Analyze the performance impact of path loss, transmit power, and receive noise in 5G NR link-level simulations.
Accelerate Link-Level Simulations with Parallel Processing
Accelerate link-level simulations using a cluster of workers from a parallel pool.
Accelerate End-to-End Simulation with Frequency-Domain Channel Modeling
Accelerate end-to-end simulations by performing frequency-domain channel modeling using a CDL channel model.
NR V2X Sidelink PSCCH and PSSCH Throughput
Measure the link-level throughput and BLER of the NR V2X PSCCH and PSSCH, including SCI and SL-SCH transport channel coding.
NR NTN PDSCH Throughput
Measure the PDSCH throughput of a 5G NR link in a nonterrestrial network (NTN) channel.
Model 5G NR Transport Channels with HARQ
Use DL-SCH encoder and decoder objects to model transport channels with multiple HARQ processes.
Map 5G Physical Channels and Signals to the Resource Grid
Generate and map 5G NR physical channels and signals to the resource grid using 5G Toolbox features.
DL-SCH and PDSCH Transmit and Receive Processing Chain
Model a 5G NR PDSCH link from transport block generation to bit decoding at the receiver end.
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