Jeux stochastiques et contr\^ole de puissance distribu\'e
Fran\c{c}ois M\'eriaux, Ma\"el Le Treust, Samson Lasaulce, Michel, Kieffer

TL;DR
This paper develops distributed power control strategies for multiple access channels using stochastic game theory, enabling energy-efficient communication with limited system knowledge.
Contribution
It introduces a stochastic game framework for distributed power control, characterizes the utility equilibrium region, and proposes an explicit power control strategy based on time-sharing.
Findings
Achievable utility equilibrium region characterized.
Explicit power control strategy proposed.
Distributed control requires only partial system knowledge.
Abstract
Transmitters of a multiple access channel are assumed to freely choose their power control strategy in order to be energy-efficient. We show that in a stochastic game framework, we can develop energy-efficient distributed control strategies which only require partial knowledge of the entire system. Achievable utility equilibrium region is characterized and based on time-sharing, an explicit power control strategy is proposed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
