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

Author

Jianchao Zheng ; Yueming Cai ; Anpalagan, Alagan

Author_Institution

Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China

Volume

19

Issue

2

fYear

2015

fDate

Feb. 2015

Firstpage

251

Lastpage

254

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.

Keywords

cellular radio; channel estimation; decision making; interference suppression; sensor placement; stochastic games; Nash equilibrium; distributed channel selection; distributed decision making; dynamic environment; dynamic on-off activity; interactive decision making; network interference mitigation; no-regret channel selection algorithm; potential game; random deployment; small cell networks; stochastic game theoretic approach; Algorithm design and analysis; Femtocells; Games; Heuristic algorithms; Interference; Macrocell networks; Wireless communication; Small cell networks; distributed channel allocation; interference mitigation; no-regret learning; potential game;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2014.2377156

Filename

6975078