Flow Admission Control Method with Bounded Rationality Using Stochastic Evolutionary Game Theory

Taichi Kojima, Sumiko Miyata

研究成果: Conference contribution

抄録

We propose a flow admission control method to maximize the satisfaction of all users when accommodating communications with different bandwidths in the same network, and we demonstrate its effectiveness using theoretical equations. Conventional flow admission control assumes the rationality of all users requesting the correct bandwidth. However, in a real network, some users may mistakenly select the incorrect bandwidth. Thus, we need to analyze user behavior to calculate an optimal control parameter for flow admission control. We model our flow admission control with user behavior by using stochastic evolutionary game theory and queueing theory. In addition, we analyze the characteristics of our flow admission control while accounting for user behavior. As a result, we find the total user satisfaction is maximized when the selection error probability is 20% under the conditions of our study.

本文言語English
ホスト出版物のタイトル2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728181042
DOI
出版ステータスPublished - 2021
イベント2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain
継続期間: 2021 12月 72021 12月 11

出版物シリーズ

名前2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings

Conference

Conference2021 IEEE Global Communications Conference, GLOBECOM 2021
国/地域Spain
CityMadrid
Period21/12/721/12/11

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 サイエンスの応用
  • ハードウェアとアーキテクチャ
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理
  • 健康情報学

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