Channel Selection Game for IEEE 802.11ax

This paper investigates the problem of channel selection in Wi-Fi 6E networks by modeling it as a congestion game, where access points (APs) aim to minimize their own co-channel interference (CCI) selfishly. We study the existence and the number of pure strategy Nash equilibria (PSNEs), the converge...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 73; H. 6; S. 9171 - 9176
Hauptverfasser: Park, Seungkeun, Kim, Igor, Lee, Woongsup, Seo, Jun-Bae
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
best response dynamics
binary quadratic programming
channel selection
Cochannel interference
Congestion game
Convergence
Costs
Game theory
Heuristic algorithms
IEEE 802.11ax Standard
Indexes
Interchannel interference
Networks
Wireless fidelity
ISSN:0018-9545, 1939-9359
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Zusammenfassung:This paper investigates the problem of channel selection in Wi-Fi 6E networks by modeling it as a congestion game, where access points (APs) aim to minimize their own co-channel interference (CCI) selfishly. We study the existence and the number of pure strategy Nash equilibria (PSNEs), the convergence to these equilibria, and the global optimal solution through best response dynamics (BRD). We provide theoretical proof for the existence and convergence properties and propose an algorithm for channel selection in Wi-Fi 6E networks based on the obtained results. Our findings suggest that the proposed BRD-based algorithm can achieve a global optimal solution in a distributed manner, offering a promising approach for efficient channel selection in Wi-Fi 6E networks.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3348504