A Game-Theoretic Approach to Exploit Partially Overlapping Channels in Dynamic and Distributed Networks

Author

Jianchao Zheng ; Yueming Cai ; Weiwei Yang ; Yuhua Xu ; Anpalagan, A.

Author_Institution

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

Volume

18

Issue

12

fYear

2014

fDate

Dec. 2014

Firstpage

2201

Lastpage

2204

Abstract

In this letter, we investigate the partially overlapping channels for interference mitigation in dynamic and distributed networks. The interference mitigation problem is formulated as a dynamic game, which is proved to be an exact potential game. Furthermore, the performance bounds of the Nash equilibrium (NE) are theoretically derived and analyzed. Finally, we design a fully distributed, stochastic learning algorithm to converge to the NE of the formulated game. Simulation results validate the effectiveness of the proposed algorithm.

Keywords

channel allocation; game theory; radiofrequency interference; stochastic processes; wireless LAN; Nash equilibrium; distributed networks; dynamic game; dynamic networks; game-theoretic approach; interference mitigation problem; overlapping channels; stochastic learning algorithm; Algorithm design and analysis; Channel allocation; Game theory; Heuristic algorithms; Interference; Throughput; Interference mitigation; dynamic and distributed networks; interference mitigation; partially overlapping channels; potential game;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2014.2366093

Filename

6940250