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What is Multi-User Hybrid Beamforming with DNN about?

This document presents a multi-user hybrid beamforming (HB) system utilizing deep neural networks (DNN) for millimeter-wave (mmWave) communication, aimed at reducing beam training complexity while maintaining performance. The proposed system infers optimal beam codewords with limited training, addressing challenges associated with imperfect channel state information (CSI) in massive MIMO systems. Simulation results indicate that the DNN-based approach achieves comparable performance to conventional methods

Author

fauzanismail

Language

EN