非理想信道估计下的全双工MIMO系统的优化研究  被引量:3

Optimization Research for Full Duplex MIMO System Under Imperfect Channel Estimation

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作  者:傅佳飞 陈芳妮 华惊宇[3] 徐志江 FU Jia-fei;CHEN Fang-ni;HUA Jing-yu;XU Zhi-jiang(College of Information Engineering,Zhejiang University of Technology,Hangzhou 310023,China;School of Information and Electronic Engineering,Zhejiang University of Science and Technology,Hangzhou 310023,China;School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou 310018,China)

机构地区:[1]浙江工业大学信息工程学院,杭州310023 [2]浙江科技学院信息与电子工程学院,杭州310023 [3]浙江工商大学信息与电子工程学院,杭州310018

出  处:《小型微型计算机系统》2020年第1期117-121,共5页Journal of Chinese Computer Systems

基  金:国家自然科学基金项目(61601409、61471322)资助

摘  要:在实际通信环境中,精确信道状态信息很难获取.本文考虑非理想信道估计条件下的全双工MIMO蜂窝系统,该系统不仅受自干扰、同信道干扰的影响,还受到信道估计误差带来的影响.因此有必要对该通信系统进行资源优化,来抵抗多种干扰并提高性能.通过建模一个联合用户配对和功率分配的优化问题来最大化系统速率,由于该联合优化问题是非凸优化问题,基于分解和梯度投影的渐进算法用来求解该问题.仿真结果表明,在非理想信道状态信息条件下,使用本文提出的算法优化后,全双工MIMO蜂窝系统性能优于半双工系统.进一步地,实验分析了不同类型干扰对系统性能的影响,表明信道估计误差对性能影响最大.It is difficult to acquire accurate channel state information(CSI)in the real communication.This paper considers a full duplex(FD)MIMO cellular system,which is not only subjected to residual self-interference(RSI)and co-channel interference(CCI),but also to CSI error.Therefore,it is necessary to provide resource optimization for the system to protect from those interference.A joint user pair and power allocation optimization problem is formulated to maximize the system sum rate under the constraint of transmission power.Due to the non-convex characteristic of this problem,an asymptotic algorithm based on decomposition scheme and gradient projection method is proposed.Simulation results showthat the performance of FD MIMO cellular system optimized by the proposed algorithm outperforms half duplex(HD)system even under imperfect CSI.Furthermore,simulations showthat among the different interference,CSI error has the most severe influence on system sum rate,which demonstrate the importance of our work.

关 键 词:全双工 多输入多输出 用户配对 功率分配 非理想信道状态信息 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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