Information Theory Meets Game Theory on The Interference Channel
Source: Northwestern University
The authors consider a game theoretic model for two users communicating over an interference channel, in which each user can autonomously select its encoding and decoding strategy with the objective of maximizing its own rate. They give an information theoretic formulation for this game, which enables users to define a Nash equilibrium region that is a natural extension of the information theoretic capacity region of this channel. In previous work, they completely characterized this Nash equilibrium region for a deterministic interference channel model. Here, they show that certain properties of this analysis extend to a Gaussian channel model. In particular, they show that for a symmetric channel, the symmetric sum-rate point is always achieved as an approximate equilibrium.