Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems

High route loss and line-of-sight requirements are two of the fundamental challenges of millimeter-wave (mm-wave) communications that are mitigated by incorporating sensor technology. Sensing gives the deep reinforcement learning (DRL) agent comprehensive environmental feedback, which helps it bette...

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Bibliographic Details

Main Authors:	Salh, Adeb, Alhartomi, Mohammed A, Ali Hussain, Ghasan, Jing Jing, Chang, M. Shah, Nor Shahida, Alzahrani, Saeed, Alsulami, Ruwaybih, Alharbi, Saad, Hakimi, Ahmad, S. Almehmadi, Fares
Format:	Article
Language:	en
Published:	Mdpi 2025
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/12720/1/J19648_a89117491fecf426e024e0bcce680759.pdf http://eprints.uthm.edu.my/12720/ https://doi.org/10.3390/jsan14010020
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