A user-selected uplink power control algorithm in the two-tier femtocell network  

作　　者：CHAI XiaoMeng XU Xu ZHANG ZhongShan 

机构地区：[1]Institute of Advanced Network Technology and New Services, University of Science and Technology Beijing

出　　处：《Science China(Information Sciences)》2015年第4期47-58,共12页中国科学（信息科学）（英文版）

基　　金：supported by the National High-Tech Research & Development Program of China (Grant No. 2014AA01A701);the Key Project of the National Natural Science Foundation of China (Grant No. 61431001);Program for New Century Excellent Talents in University (Grant No. NECT-12-0774);the Open Research Fund of National Mobile Communications Research Laboratory Southeast University (Grant No.2013D12);the Research Foundation of China Mobile;the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services

摘　　要：In two-tier femtocell networks, the frequency reuse among cells leads to cross-tier interference （CTI）, the primary constraint to system performance improvement. In order to alleviate the impact of CTI, we propose a user-selected power control algorithm based on the non-cooperative game theory in consideration of user diversity gain. In the proposed scheme, the macro-user with high channel gain and the femto-user with low channel gain at the macro base station are scheduled to be ＂active＂ in one slot but to be ＂opposite＂ in next slot in order to achieve an optimal overall performance. Numerical results show that the proposed scheme is capable of outperforming the traditional stochastic schedule strategy by more than 30% improvement in terms of average macrocell capacity. Furthermore, an obvious performance gain in the percentage femtocells beyond its signal-to-interference-and-noise ratio （SINR） target can also be achieved by executing the macrocell link-quality-protection strategy.In two-tier femtocell networks, the frequency reuse among cells leads to cross-tier interference （CTI）, the primary constraint to system performance improvement. In order to alleviate the impact of CTI, we propose a user-selected power control algorithm based on the non-cooperative game theory in consideration of user diversity gain. In the proposed scheme, the macro-user with high channel gain and the femto-user with low channel gain at the macro base station are scheduled to be ＂active＂ in one slot but to be ＂opposite＂ in next slot in order to achieve an optimal overall performance. Numerical results show that the proposed scheme is capable of outperforming the traditional stochastic schedule strategy by more than 30% improvement in terms of average macrocell capacity. Furthermore, an obvious performance gain in the percentage femtocells beyond its signal-to-interference-and-noise ratio （SINR） target can also be achieved by executing the macrocell link-quality-protection strategy.

关 键 词：power control game theory user-selected FEMTOCELL MACROCELL capacity 

分 类 号：TN929.5[电子电信—通信与信息系统]