认知网络干扰效率最大稳健功率与子载波分配算法  

Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization

作　　者：徐勇军[1,2] 杨洋 刘期烈[1] 陈前斌[1] 林金朝[1] XU Yongjun;YANG Yang;LIU Qilie;CHEN Qianbin;LIN Jinzhao(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Shandong Provincial Key Lab.of Wireless Communication Technologies,Shandong University,Jinan 250100,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]山东大学山东省移动通信技术重点实验室,山东济南250100

出　　处：《通信学报》2020年第1期84-93,共10页Journal on Communications

基　　金：国家自然科学基金资助项目（No.61601071,No.61671091）;重庆市教委科学技术研究计划基金资助项目（No.KJQN201800606,No.KJZD-K201900605）;山东大学山东省无线通信技术重点实验室开放课题基金资助项目（No.SDKLWCT-2019-04）;重庆市科技创新领军人才基金资助项目（No.CSTCCXLJRC201908）;重庆市自然基金重点资助项目(No.2019jcyj-zdxmX0008)~~

摘　　要：针对认知正交频分多址接入(OFDMA)上行通信系统,提出了一种基于干扰效率最大的稳健功率与子载波分配算法。首先,考虑主用户干扰约束、次用户发射功率约束、子载波分配约束和次用户最小速率约束,建立基于中断概率的稳健资源优化模型。然后,利用伯恩斯坦近似和Dinkelbach法,将原基于中断概率的非凸问题转换成等价凸优化问题,并利用拉格朗日对偶函数法求得解析解。同时,分析了算法的计算复杂度和稳健灵敏度。仿真结果表明,所提算法具有较好的干扰效率和稳健性。For the cognitive OFDMA uplink communication system,a robust power and subcarrier allocation algorithm based on maximum interference efficiency was proposed.Firstly,considering primary user interference constraint,secondary user transmit power constraint,subcarrier allocation constraint and secondary user minimum rate constraint,a robust resource optimization model based on outage probability was established.Then,by using Bernstein approximation and Dinkelbach’s method,the original non-convex problem based on outage probability was transformed into an equivalent convex optimization one,and the analytical solution was obtained by Lagrangian dual function method.Meanwhile,the computational complexity and robust sensitivity of the algorithm were analyzed.The simulation results show that the proposed algorithm has better interference efficiency and robustness.

关 键 词：认知网络 干扰效率 稳健资源分配 正交频分多址接入 

分 类 号：TN918.82[电子电信—通信与信息系统]