Power Allocation Based on Genetic Simulated Annealing Algorithm in Cognitive Radio Networks  

作　　者：ZHAO Junhui GUAN Xin LI Xiuping 

机构地区：[1]State Key Laboratory of Rail TraJ~e Control and Safety, Beijing Jiaotong University, Beijing 100044, China [2]School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China [3]National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

出　　处：《Chinese Journal of Electronics》2013年第1期177-180,共4页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.61172073）, the State Key Laboratory of Rail Traffic Control and Safety （No.RCS2011ZT003）, Beijing Jiaotong University, the open research fund of National Mobile Communications Research Laboratory, Southeast University, China, and the Fundamental Research Funds for the Central Universities, Beijing Jiaotong University.

摘　　要：To maximize the utility of cognitive net-works, the interference constraints to ensure primary users＇ Quality of service （QoS） standards is considered in this paper. The interference temperature model was used to model network interference effects, so that the interfer-ence caused by cognitive user＇s signal transmission cannot surpass the primary user＇s interference temperature limi-tation. Multi-users＇ power allocation was studied based on the analysis of multiple interference temperature limita-tion of the power model and multi-user access power con-trol. The power allocation issue is converted into a multi-constrained nonlinear programming problem with the in-terference temperature limitation and then an improved simulated annealing genetic algorithm is proposed to solve this problem. Simulation results show that the improved simulated annealing genetic algorithm has better accuracy and convergence performance.

关 键 词：Cognitive radio network Interferencetemperature Power allocation Genetic simulated anneal-ing algorithm. 

分 类 号：TN929.533[电子电信—通信与信息系统] TP391.72[电子电信—信息与通信工程]