Optimal Price-Based Power Control Algorithm with Quality of Service Constraints in Cognitive Radio Networks

作     者：WANG Zhengqiang JIANG Lingge HE Chen 

作者机构：Department of Electronic Engineering Shanghai Jiaotong University Department of Communication and Information Engineering Chongqing University of Posts and Telecommunications 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2015年第24卷第2期

页      面：393-397页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0701[理学-数学] 

基　　金：supported by the National High Technology Research and Development Program of China(863 Program)(No.2014AA01A701) the National Natural Science Foundation of China(No.61172067,No.61371086) 

主　　题：Power control Cognitive radio Price Quality of service(QoS) 

摘      要：In price-based cognitive radio networks,the Primary user(PU) can allow the Secondary users(SUs) to access by pricing if their interference power is under the Interference power constraint(IPC). The interaction between the PU and the SUs is modeled as a Stackelberg game with the consideration of the Quality of service(Qo S) of the SUs. The revenue maximization problem of PU is expressed as an equivalent convex optimization problem if the minimum Signal-to-interference and noise ratio(SINR) constraints for the SUs are greater than or equal to 0d B. An optimal pricing algorithm is proposed based on this equivalent convex optimization problem. Simulation results show that the proposed pricing algorithm outperforms the non-uniform pricing algorithm in terms of the revenue of the PU, the sum rate of SUs and the number of admitted SUs.