Journal of Xidian University

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Two-layered game-theoretic based resource allocation in femtocell networks

ZHOU Yanguo;ZHANG Hailin;CHEN Ruirui   

  1. (State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071, China)
  • Received:2016-12-27 Online:2017-08-20 Published:2017-09-29

Abstract:

In orthogonal frequency division multiple access(OFDMA) based femtocell networks, to improve the spectrum efficiency and avoid the interference from the femtocell user equipment(FUE) to macrocell user equipment(MUE) and other femtocell users equipments(FUEs), the joint power control and subcarrier selection distributed algorithm is proposed. In the framework of the two-layered game, the proposed distributed algorithm, which is based on the pricing mechanism and the dynamic replication scheme, can effectively suppress the interference from the FUE to other users and select the optimal subcarrier by the alternate iterations of the non-cooperative game and evolutionary game. Simulation results show that the proposed algorithm can converge to the Nash equilibrium(NE) of the two-layered game.

Key words: femtocell networks, power control, subcarrier selection, two-layered game, distributed algorithm