AP Connection Method Considering Interference for Maximizing System Throughput Using Potential Game

Yu Kato, Jiquan Xie, Tutomu Murase, Sumiko Miyata

研究成果: Conference contribution

抄録

For multi-transmission rate environments, access point (AP) connection methods have been proposed for maximizing system throughput, which is the throughput of an entire system, on the basis of the cooperative behavior of users. These methods derive optimal positions for the cooperative behavior of users, which means that new users move to improve the system throughput when connecting to an AP. Typically, the arrival of two or more new users causes signal interference for other users. Specifically, traditional methods have not considered interference and the number of allowable mobile positions is so large that it is difficult to find the optimal position to maximize system throughput. In this paper, we propose an AP connection method that maximizes system throughput by considering interference between users, with a potential game model. This game can find at least one optimal user position. Moreover, numerical analyses show the effectiveness of our method.

本文言語English
ホスト出版物のタイトル2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
出版社Institute of Electrical and Electronics Engineers Inc.
ページ305-308
ページ数4
ISBN(電子版)9781665497343
DOI
出版ステータスPublished - 2023
イベント20th IEEE Consumer Communications and Networking Conference, CCNC 2023 - Las Vegas, United States
継続期間: 2023 1月 82023 1月 11

出版物シリーズ

名前Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
2023-January
ISSN(印刷版)2331-9860

Conference

Conference20th IEEE Consumer Communications and Networking Conference, CCNC 2023
国/地域United States
CityLas Vegas
Period23/1/823/1/11

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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