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基于符号检测的LS与MIN-WLI结合的干扰对齐算法研究

Research on Interference Alignment Algorithm Based on Symbol Detection LS and MIN-WLI
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摘要 第5代移动通信系统(Fifth generation mobile communication system5G)是面向2020年以后的人类信息社会,尽管在一些标准的制定上还存在很多争议,但是5G的一些基本特征已经明确:大规模天线阵列、基于滤波器组的多载波技术、全双工复用、超密集组网、自组织网络、软件定义网络。这七大特征将会是5G移动通信的研究重点与热点。在5G的诸多特征中干扰始终是限制其发展的一个重要因素,例如在超密集组网(Ultra-Dense Network)中的干扰问题,由于超密集组网可以大幅度的提升单位面积的系统容量,所以导致网络节点离终端更近,会造成很严重的干扰问题。在这里我们提出一种基于符号检测的LS(Least squre)和Min-WLI(Minimum Weighted Leakage Interference)结合的干扰对齐算法去消除干扰,经过计算机仿真验证该算法在系统的误码率降低上有着比之前算法都优越的性能。 The fifth generation mobile communication system(5G)is aimed at the human information society after 2020.Although there are still many disputes in the formulation of some standards,some basic features of 5Ghave been made clear:largescale antennas Array,filter bank based multi-carrier technology,full-duplex multiplexing,ultra-dense networking,self-organizing network,software-defined network.These seven characteristics will be the research focus and hotspot of 5G mobile communication.Interference is always an important factor limiting the development of many features of 5G,such as interference in the Ultra-Dense Network.Because ultra-dense networking can greatly increase the systemcapacity per unit area.Therefore,the network node is closer to the terminal,which causes a serious interference problem.Here we propose an interference alignment algorithm based on LS(Least squre)and Min-WLI(Minimum Weighted Leakage Interference)to eliminate interference.The computer simulation shows that the algorithm has a lower ratio of BER(Bit error rate)in the system.Previous algorithms have superior performance.
作者 贾国庆 黄李冰 刘健 李明燕 陆军 Jia Guoqing;Huang Libing;Liu Jian;Li Mingyan;Lu jun(School of Physics and Electronic Information Engineering,Qinghai University for Nationalities,Xining 810007,China;Department of Information Technology,Qinghai Institute of Architecture and Technology,Xining 810012,China;Academic Affairs Office,Qinghai Institute of Architecture and Technology,Xining 810012,China)
出处 《信息通信》 2019年第9期17-20,共4页 Information & Communications
基金 中国科学院无线传感网与通信重点实验室开放基金(2016002) 青海民族大学校级理工自然科学重点项目《5G中干扰消除关键技术研究(2019XJZ09)》资助
关键词 干扰对齐 符号检测 5G LS MIN-WLI 超密集组网 Interference alignment symbol detection 5G LS MIN-WLI ultra-dense networking
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