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These examples demonstrate AI techniques to optimize beam selection and management.
Use a neural network to reduce overhead in the beam selection task by using the location of the receiver rather than knowledge of the communication channels.
Train a deep Q-network (DQN) reinforcement learning agent for beam selection in a 5G new radio communications system.
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