中国邮电高校学报(英文)

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Power distribution algorithm based on game theory in the femtocell system

穆施瑶,朱琦   

  1. 南京邮电大学
  • 收稿日期:2012-06-14 修回日期:2012-12-05 出版日期:2013-04-30 发布日期:2013-04-26
  • 通讯作者: 穆施瑶 E-mail:mushiyao@yahoo.cn
  • 基金资助:

    This work was supported by the National Basic Research Program of China (2007CB310607), the National Natural Science Foundation of China (61171094), and the National Science & Technology Key Project (2011ZX03001-006-02, 2011ZX03005-004-03).

Power distribution algorithm based on game theory in the femtocell system

  • Received:2012-06-14 Revised:2012-12-05 Online:2013-04-30 Published:2013-04-26
  • Contact: Shi-Yao MU E-mail:mushiyao@yahoo.cn
  • Supported by:

    This work was supported by the National Basic Research Program of China (2007CB310607), the National Natural Science Foundation of China (61171094), and the National Science & Technology Key Project (2011ZX03001-006-02, 2011ZX03005-004-03).

摘要:

This paper studies the power control problem in femtocell system based on Nash non-cooperative game theory. It designs an utility function taking fem stations’ transmit power as variable and relates it to the requirements of macro users’ and fem users’ signal to interference plus noise ratio (SINR). The utility also takes the impact of fem stations’ location into account and improves the fairness of non-cooperative game. On this basis, this paper proposes a distributed power control algorithm and proves the existence and uniqueness of Pareto optimal point. The simulation results show that the algorithm improves the convergence speed and system performance through improving users’ SINR.

关键词:

Nash non-cooperative game, power control, utility function

Abstract:

This paper studies the power control problem in femtocell system based on Nash non-cooperative game theory. It designs an utility function taking fem stations’ transmit power as variable and relates it to the requirements of macro users’ and fem users’ signal to interference plus noise ratio (SINR). The utility also takes the impact of fem stations’ location into account and improves the fairness of non-cooperative game. On this basis, this paper proposes a distributed power control algorithm and proves the existence and uniqueness of Pareto optimal point. The simulation results show that the algorithm improves the convergence speed and system performance through improving users’ SINR.

Key words:

Nash non-cooperative game, power control, utility function