Modeling of uplink power control for cognitive radio networks: Cooperative and noncooperative

被引：2
|
作者：
Wang, Wei [1 ,2 ,3 ]
Peng, Tao [2 ]
Wang, Wenbo [2 ]
机构：
[1] Zhejiang Univ, Inst Info & Commun Eng, Dept Informat Sci & Elect Engn, Key Lab Integrate Informat Network Technol, Hangzhou 310027, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100088, Peoples R China
[3] SW Jiaotong Univ, Key Lab Informat Coding & Transmiss, Chengdu, Peoples R China
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2011年 / 53卷 / 11-12期
基金：
中国国家自然科学基金;
关键词：
Cognitive radio; Power control; Concave minimization; Branch and bound; Game theory; Equilibrium; MULTIRATE CDMA;
D O I：
10.1016/j.mcm.2010.08.009
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, the uplink power control problem is modeled by considering both cooperative and noncooperative methods respectively to protect licensed users in cognitive radio networks. The cooperative power control optimization problem is modeled as a concave minimization problem. According to the properties of the power control optimization problem, an improved branch and bound algorithm is proposed. On the other hand, for the noncooperative power control case, a game theoretic model with the exponential pricing function is adopted to restrict the interference to the licensed users. Further, Nash equilibrium for the power control game is discussed. Finally, the performance of the proposed models is evaluated by computer simulation. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2136 / 2148
页数：13
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