MONOTONIC GENERALIZED NASH GAMES WITH APPLICATION TO THE MANAGEMENT OF ENERGY-AWARE ALOHA NETWORKS

Wenbo Wang, Amir Leshem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Generalized Nash games differ from strategic form games by allowing the strategy set available for each player to depend on the strategies selected by the other players. The strong dependence of the strategies of the players make these generalized games harder to analyze. While convex generalized games are well understood, the case where the constraint sets and rewards are non-convex is significantly more complicated. In this paper we analyze a family of monotonic generalized games (not necessarily convex). We provide uniqueness and existence theorems for these games as well as rapidly converging algorithm for obtaining a Nash equilibrium. We then use the proposed solution to optimize access probability and energy consumption in ALOHA networks, where users have fixed but heterogeneous QoS requirements.

Original languageAmerican English
Title of host publication2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5303-5307
Number of pages5
ISBN (Electronic)9781665405409
DOIs
StatePublished - 2022
Externally publishedYes
Event47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
Duration: 23 May 202227 May 2022

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2022-May
ISSN (Print)1520-6149

Conference

Conference47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Country/TerritorySingapore
CityVirtual, Online
Period23/05/2227/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE

Keywords

  • ALOHA
  • Generalized Nash equilibrium
  • distributed optimization
  • energy-aware networks

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