Reinforcement Learning for Channel and Radio Allocations to Wireless Backhaul Links

WMN's mesh access points (MAPs) are linked through a wireless backhaul network that consist of mesh points (MPs) that is equipped with multiple radios that use multiple non-overlapping channels in parallel. MPs will establish designated links that should satisfy both common channel constraint a...

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Veröffentlicht in:	2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS) S. 1 - 4
Hauptverfasser:	Liman, Juliana, Yen, Li-Hsing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEICE 28.09.2022
Schlagworte:	Channel allocation deep Q-learning Dynamic scheduling Games Heuristic algorithms multi agent reinforcement learning Q-learning radio resource reinforcement learning Wireless communication wireless mesh network Wireless mesh networks
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