Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning

Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning

This research introduces an innovative model-free framework for Intelligent Reflecting Surface (IRS) control in multi-user wireless communication systems using Multi-Agent Reinforcement Learning (MARL). Departing from traditional methods that rely heavily on detailed channel state information (CSI),...

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Bibliographic Details
Main Authors: Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multi-agent reinforcement learning
channel state information
Deep Q-Network
hierarchical reinforcement learning
multi-armed bandit
random selection
Online Access:https://ieeexplore.ieee.org/document/10947690/
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