中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (4): 1-7.doi: 10.1016/S1005-8885(14)60308-3

• Wireless •    下一篇

Nash bargaining solution based multi-cell and multi-user interference alignment scheme for cellular networks

牛勤,曾志民,张天魁  GAO Qiu-bin, SUN Shao-hui   

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China 3. State Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunication Technology, Beijing 100191, China
  • 收稿日期:2013-12-06 修回日期:2014-06-03 出版日期:2014-08-31 发布日期:2014-08-30
  • 通讯作者: 张天魁 E-mail:tkzhang@gmail.com

Nash bargaining solution based multi-cell and multi-user interference alignment scheme for cellular networks

  1. 1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China 3. State Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunication Technology, Beijing 100191, China
  • Received:2013-12-06 Revised:2014-06-03 Online:2014-08-31 Published:2014-08-30

摘要:

In wireless cellular networks, the interference alignment (IA) is a promising technique for interference management. A new IA scheme for downlink cellular network with multi-cell and multi-user was proposed. In the proposed scheme, the interference in the networks is divided into inter-cell interference (ICI) among cells and inter-user interference (IUI) in each cell. The ICI is aligned onto a multi-dimensional subspace by multiplying the ICI alignment precoding matrix which is designed by the singular value decomposition (SVD) scheme at the base station (BS) side. The aligned ICI is eliminated by timing the interference suppression matrix which is designed by zero-forcing (ZF) scheme at the user equipment (UE) side. Meanwhile, the IUI is aligned by multiplying the IUI alignment precoding matrix which is designed based on Nash bargaining solution (NBS) in game theory. The NBS is solved by the particle swarm optimization (PSO) method. Simulations show that, compared with the traditional ZF IA scheme, the proposed scheme can obtain higher data rate and guarantee the data rate fairness of UEs with little additional complexity.

关键词:

cellular network, interference alignment, Nash bargaining solution, data rate fairness, particle swarm optimization

Abstract:

In wireless cellular networks, the interference alignment (IA) is a promising technique for interference management. A new IA scheme for downlink cellular network with multi-cell and multi-user was proposed. In the proposed scheme, the interference in the networks is divided into inter-cell interference (ICI) among cells and inter-user interference (IUI) in each cell. The ICI is aligned onto a multi-dimensional subspace by multiplying the ICI alignment precoding matrix which is designed by the singular value decomposition (SVD) scheme at the base station (BS) side. The aligned ICI is eliminated by timing the interference suppression matrix which is designed by zero-forcing (ZF) scheme at the user equipment (UE) side. Meanwhile, the IUI is aligned by multiplying the IUI alignment precoding matrix which is designed based on Nash bargaining solution (NBS) in game theory. The NBS is solved by the particle swarm optimization (PSO) method. Simulations show that, compared with the traditional ZF IA scheme, the proposed scheme can obtain higher data rate and guarantee the data rate fairness of UEs with little additional complexity.

Key words:

cellular network, interference alignment, Nash bargaining solution, data rate fairness, particle swarm optimization