A Stochastic Game-Theoretic Approach for Interference Mitigation in Small Cell Networks

Abstract

In this letter, we investigate the distributed channel selection for interference mitigation in small cell networks considering the random deployment and dynamic on-off activity. Game theory is adopted to analyze the distributed and interactive decision making, and the problem is formulated as an exact potential game, in which the Nash equilibrium (NE) minimizes the expected network interference, either globally or locally. Furthermore, we design a fully distributed, no-regret channel selection algorithm to find the NE solution in dynamic environment.