Multi-Agent Reinforcement Learning Based Uplink OFDMA for IEEE 802.11ax Networks

In the IEEE 802.11ax Wireless Local Area Networks (WLANs), Orthogonal Frequency Division Multiple Access (OFDMA) has been applied to enable the high-throughput WLAN amendment. However, with the growth of the number of devices, it is difficult for the Access Point (AP) to schedule uplink transmission...

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Veröffentlicht in:	IEEE transactions on wireless communications 2024-08, Vol.23 (8), p.8868-8882
Hauptverfasser:	Han, Mingqi, Sun, Xinghua, Zhan, Wen, Gao, Yayu, Jiang, Yuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computational complexity Frequency division multiple access Heuristic algorithms IEEE 802.11ax Standard Local area networks mean-field reinforcement learning multi-agent reinforcement learning multi-objective reinforcement learning Multiagent systems Multiple access Optimization Orthogonal Frequency Division Multiplexing Sun Throughput Traffic Uplink Uplinking Wireless networks
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