Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/12145
Title: | Multi-Agent Rl for Sleep Mode and Antenna Configuration With User Offloading Under Dynamic Traffic in Massive MIMO Networks | Authors: | Zhang, Shuai Cai, Tianzhang Demir, Ozlem Tugfe Cavdar, Cicek |
Keywords: | Quality Of Service Optimization Massive Mimo Energy Conservation Energy Efficiency Energy Consumption Antennas 5G Mobile Communication Switches Interference Green Networks Base Station Control For Energy Savings Antenna Switching Massive Mimo Multi-Agent Reinforcement Learning |
Publisher: | IEEE-Inst Electrical Electronics Engineers inc | Abstract: | In this paper, we focus on minimizing the total energy consumption of multi-cell massive multiple-input multiple-output (MIMO) networks while simultaneously guaranteeing user quality of service (QoS). This is achieved by optimizing the multi-level advanced sleep modes (ASM), antenna switching, and user association of the base stations (BSs). Due to the interdependence of user association and inter-cell interference in the network, collaborative efforts among individual BSs become imperative. The problem is modeled as a decentralized partially observable Markov decision process (DEC-POMDP) and a multi-agent proximal policy optimization (MAPPO) algorithm is proposed to obtain a collaborative BS control policy. Simulation results demonstrate that the obtained policy can significantly improve network energy efficiency, adaptively switch the BSs into different depths of sleep, reduce inter-cell interference, and maintain good QoS compared to the two benchmark algorithms. The results also validate that enabling user offloading among BSs can improve both user QoS and system performance. The superiority of MAPPO is further affirmed by comparing it with the single-agent deep Q network (DQN) algorithm. | URI: | https://doi.org/10.1109/TVT.2025.3541136 | ISSN: | 0018-9545 1939-9359 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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