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 language | English |
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Title of host publication | 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5303-5307 |
Number of pages | 5 |
ISBN (Electronic) | 9781665405409 |
DOIs | |
State | Published - 2022 |
Event | 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Hybrid, Singapore Duration: 23 May 2022 → 27 May 2022 |
Publication series
Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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Volume | 2022-May |
ISSN (Print) | 1520-6149 |
Conference
Conference | 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 |
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Country/Territory | Singapore |
City | Hybrid |
Period | 23/05/22 → 27/05/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE
Funding
Wenbo Wang is supported by the Israel Science Foundation grant 1644/18 and ISF-NRF grant 2277/16
Funders | Funder number |
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ISF-NRF | 2277/16 |
Israel Science Foundation | 1644/18 |
Keywords
- ALOHA
- Generalized Nash equilibrium
- distributed optimization
- energy-aware networks