Adaptive Hybrid Beamforming Codebook Design Using Multi-Agent Reinforcement Learning for Multiuser Multiple-Input–Multiple-Output Systems

This paper presents a novel approach to designing beam codebooks for downlink multiuser hybrid multiple-input–multiple-output (MIMO) wireless communication systems, leveraging multi-agent reinforcement learning (MARL). The primary objective is to develop an environment-specific beam codebook compose...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Manasjyoti Bhuyan, Kandarpa Kumar Sarma, Debashis Dev Misra, Koushik Guha, Jacopo Iannacci
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	multi-agent reinforcement learning massive MIMO millimeter wave hybrid beamforming
Online Access:	https://www.mdpi.com/2076-3417/14/16/7109