认知网络中基于功率分配的收发联合迭代结构  

Power Allocation Based Iterative Structure of Joint Rx&Tx Beamforming for Cognitive Networks

作　　者：李蠡[1] 陈宇[1] 束锋[1,2,3] 余海[1] 桂林卿[1] 康棋桔 

机构地区：[1]南京理工大学电子工程与光电技术学院,南京210094 [2]东南大学移动通信国家重点实验室,南京210096 [3]南京理工大学近程高速目标探测技术国防重点学科实验室,南京210094

出　　处：《数据采集与处理》2016年第2期400-406,共7页Journal of Data Acquisition and Processing

基　　金：中央高校基本科研业务费专项资金(30920130122004)资助项目;国家自然科学基金(61271230;61472190)资助项目;东南大学移动通信国家重点实验室开放课题(2013D02)资助项目

摘　　要：在认知无线电网络中,为保证主用户的通信质量,解决认知网络和主网络之间的干扰问题,进一步提高认知网络性能,本文提出一种基于广义信泄噪比的功率分配方案。为了获取更高的和速度,在认知网络发射和接收端引入波束成形矩阵,在此基础上发展了一种联合交替迭代结构,该结构将发射波束成形、功率分配和接收波束成形串联成迭代环。仿真结果表明,该迭代环收敛速度快,相比传统波束成形等功率分配方案的和速率和误码率均有明显提高。A power allocation scheme based on generalized signal‐to‐leakage‐and‐noise ratio （SLNR） is proposed for cognitive radio network to address the problem of interference between cognitive network and primary network ,therefore to guarantee quality of service of primary users （PUs） and improve per‐formance of secondary users （SUs） .Beamforming matrix is introduced in the transmitter and the receiv‐er of cognitive network to obtain a higher sum rate .Then a joint alternative iterative structure is devel‐oped to cascade transmit beamforming ,power allocation and receive beamforming into an iteration loop . Simulation results show that the iteration loop converges fast and performs better than traditional beam‐forming scheme with equal power allocation in terms of the sum rate and the bit error rate .

关 键 词：认知无线电 信泄噪比 波束成形 功率分配 

分 类 号：TN929.5[电子电信—通信与信息系统]