Implicit cooperation in distributed energy-efficient networks
Ma\"el Le Treust, Samson Lasaulce, M\'erouane Debbah

TL;DR
This paper explores how distributed wireless transmitters can cooperate to improve energy efficiency through repeated game strategies, without direct cooperation links, by analyzing fast and slow power control scenarios.
Contribution
It introduces a novel approach to stimulate cooperation among selfish transmitters using repeated game frameworks and receiver signals, without requiring cooperation links.
Findings
Proposes an efficient cooperation plan for fast power control scenarios.
Derives equilibrium utility regions for slow power control using recent game theory results.
Demonstrates that cooperation can be achieved with mild information assumptions.
Abstract
We consider the problem of cooperation in distributed wireless networks of selfish and free transmitters aiming at maximizing their energy-efficiency. The strategy of each transmitter consists in choosing his power control (PC) policy. Two scenarios are considered: the case where transmitters can update their power levels within time intervals less than the channel coherence time (fast PC) and the case where it is updated only once per time interval (slow PC). One of our objectives is to show how cooperation can be stimulated without assuming cooperation links between the transmitters but only by repeating the corresponding PC game and by signals from the receiver. In order to design efficient PC policies, standard and stochastic repeated games are respectively exploited to analyze the fast and slow PC problems. In the first case a cooperation plan between transmitters, that is both…
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
TopicsGame Theory and Applications · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
