基于能量效率的认知无线网络联合优化算法  

Combined optimization algorithm based on energy efficiency for cognitive radio network

作　　者：杜奕航 王可人[1] 齐全[1] 

机构地区：[1]电子工程学院,合肥230037

出　　处：《计算机应用研究》2017年第3期849-852,共4页Application Research of Computers

基　　金：安徽省自然科学基金青年科学基金资助项目(1608085QF143)

摘　　要：为提高认知无线网络能量有效性,提出一种基于能量效率的联合优化算法。在考虑主用户干扰容限的基础上构建了能量有效性模型,将优化目标分解为接入策略求解和功率优化问题,采用粒子群算法反复迭代,得到接入概率与功率分配的联合最优解。仿真结果表明,相对于不考虑功率优化或接入概率的传统优化方法,所提算法可使系统能量效率得到显著提升。In order to improve the energy efficiency of cognitive radio networks,this paper proposed an algorithm of joint optimization based on energy-efficient. It established an energy efficiency model based on the consideration of the interference tolerance of the primary user. The algorithm decomposed the optimization objective into solution of access policy and power optimization problem. It adopted particle swarm optimization algorithm with iterative calculation and obtained the optimal solution.Simulation results indicate that compared with traditional optimal schemes not taking power allocation or access probability into consideration,the proposed algorithm can effectively improve the energy efficiency of the system.

关 键 词：能量效率 认知无线网络 信道接入概率 粒子群优化算法 联合优化 

分 类 号：TN925[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]