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作 者:韩韧 高阳 叶孟宇 Han Ren;Gao Yang;Ye Mengyu(Engineering Research Center of Optical Instrument & System for Ministry of Education,Shanghai Key Laboratory of Modern Optical System,School of Optical- Electrical & Computer Engineering,University of Shanghai for Science & Technology,Shanghai 200093,China)
机构地区:[1]上海理工大学光电信息与计算机工程学院上海市现代光学系统重点实验室光学仪器与系统教育部工程研究中心
出 处:《计算机应用研究》2019年第9期2755-2759,共5页Application Research of Computers
基 金:上海市科技创新行动计划资助项目(17511109100)
摘 要:针对Underlay接入方式的认知无线电网络中的功率控制问题进行了研究,提出同时考虑频谱分配和功率控制两个因素。为了同时满足用户的多种需求,将网络容量和功耗效率构建成一个多目标优化问题,然后提出了一种基于NSGA-Ⅱ的改进多目标优化算法对该问题进行建模求解,得到了适合用户不同需求的Pareto最优解集。最后将所提方法与SPEA-Ⅱ算法进行了实验对比,仿真结果表明,所提方法能够有效地搜索到优化解,并且能够满足不同情况下的频谱和功率分配要求。This paper studied the problem of power control in cognitive radio networks based on Underlay access method,and considered two factors of spectrum allocation and power control simultaneously.In order to meet the multiple needs of network users at the same time,this paper addressed the spectrum allocation and power control with respect to optimizing both power consumption efficiency and network capacity in cognitive radio networks.Then it proposed an improved multi- objective optimization algorithm based on NSGA-Ⅱ to solve the problem,and obtained the optimal set of Pareto solutions suitable for different users.Finally ,compared with the SPEA-Ⅱ algorithm,and the simulation results validate that the proposed strategy can harvest the optimal solutions efficiently and satisfy the requirements of spectrum allocation and power control in various cases.
分 类 号:TN915[电子电信—通信与信息系统]
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