认知无线电网络中的参数优化问题  

Parameter optimization problem in cognitive radio network

作　　者：李兴海[1] 肖连[2] LI Xing-hai;XIAO Lian(Modern Educational Technology Center,Huanghe Science&Technology College,Zhengzhou 450063,China;Computer Science College,Zhengzhou Institute of Aeronautical Industry Management,Zhengzhou 450015,China)

机构地区：[1]黄河科技学院现代教育技术中心,郑州450063 [2]郑州航空工业管理学院计算机学院,郑州450015

出　　处：《沈阳工业大学学报》2018年第5期558-563,共6页Journal of Shenyang University of Technology

基　　金：河南省科技厅科技攻关项目(182102210408;162102210245);河南省教育厅科学技术研究重点资助计划项目(14A510017);河南省教育厅科学技术研究项目(15B520037);郑州市科技局科技攻关项目(20140644)

摘　　要：针对在多协作用户宽带信道情况下,认知无线电网络中当信道增益固定时,检测时间、功率以及带宽分配等参数的优化问题,提出了各参数的联合优化算法.以信道容量为目标函数,给出了最优的资源分配算法.结果表明,该算法能够实现频谱接入并且极大地提高了次用户系统的总信道容量,且资源分配与主用户占用的概率、峰值发射功率和干扰约束等因素有关.在多认知用户网络中,参与合作的用户越多,接收信号的信噪比越高,次用户系统的总信道容量越大.Aiming at such parameter optimization problems as detection time,power and bandwidth allocation at the fixed channel gains in the cognitive radio network under the multiple cooperative users,the union optimization algorithm for various parameters was proposed.The channel capacity was taken as the object function,and the optimal resource allocation algorithm was given.The results show that the proposed algorithm can achieve the spectrum access,and significantly improve the total channel capacity of secondary user system.In addition,the resource allocation is related to such factors as the probability occupied by primary users,peak transmit power and interference constraint.In the multiple cognitive user network,the more the users participated in cooperation are,the higher the signal to noise ratio(SNR)of receiving signals is,and the larger the total channel capacity of secondary user system is.

关 键 词：认知无线电网络 衬底 功率分配 带宽分配 信道容量 中断概率 虚警概率 发射功率 

分 类 号：TN919.72[电子电信—通信与信息系统]