Implicit Coordination in Two-Agent Team Problems; Application to Distributed Power Allocation
Abstract
The central result of this paper is the analysis of an optimization problem which allows one to assess the limiting performance of a team of two agents who coordinate their actions. One agent is fully informed about the past and future realizations of a random state which affects the common payoff of the agents whereas the other agent has no knowledge about the state. The informed agent can exchange his knowledge with the other agent only through his actions. This result is applied to the problem of distributed power allocation in a two-transmitter band interference channel, , in which the transmitters (who are the agents) want to maximize the sum-rate under the single-user decoding assumption at the two receivers; in such a new setting, the random state is given by the global channel state and the sequence of power vectors used by the informed transmitter is a code which conveys information about the channel to the other transmitter.
Cite
@article{arxiv.1409.1768,
title = {Implicit Coordination in Two-Agent Team Problems; Application to Distributed Power Allocation},
author = {Benjamin Larrousse and Achal Agrawal and Samson Lasaulce},
journal= {arXiv preprint arXiv:1409.1768},
year = {2014}
}
Comments
6 pages, appears as WNC3 2014: International Workshop on Wireless Networks: Communication, Cooperation and Competition - International Workshop on Resource Allocation, Cooperation and Competition in Wireless Networks