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CQI Feedback Compression Method for Multi-Carrier MIMO Transmission

多载波MIMO传输系统中的信道质量信息压缩反馈新方法(英文)
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摘要 In multi-user wireless communication systems,adaptive modulation and scheduling are promising techniques for increasing system throughput.However,for multi-carrier systems,they will lead to overwhelming user feedback overhead for Channel Quality Indication(CQI) in every subcarrier.In our work,novel CQI feedback schemes are proposed based on the recently proposed theory of Compressive Sensing(CS).First,the standard CS method is introduced to reduce CQI feedback overhead for multi-carrier Multiple-Input Multiple-Output transmission.In addition,via further research on the design of measurement matrix with standard CS,a novel CQI feedback scheme based on subspace CS is proposed by exploiting the subspace information of the underlying signal and the feedback rate is greatly decreased.Simulation results show that,with the same feedback rate,the throughputs with subspace CS outperform the Discrete Cosine Transform(DCT)-based method which is usually employed,and the throughputs with standard CS outperform DCT when the feedback rate is larger than 0.13 bits/subcarrier. In multi-user wireless communication systems,adaptive modulation and scheduling are promising techniques for increasing system throughput.However,for multi-carrier systems,they will lead to overwhelming user feedback overhead for Channel Quality Indication(CQI) in every subcarrier.In our work,novel CQI feedback schemes are proposed based on the recently proposed theory of Compressive Sensing(CS).First,the standard CS method is introduced to reduce CQI feedback overhead for multi-carrier Multiple-Input Multiple-Output transmission.In addition,via further research on the design of measurement matrix with standard CS,a novel CQI feedback scheme based on subspace CS is proposed by exploiting the subspace information of the underlying signal and the feedback rate is greatly decreased.Simulation results show that,with the same feedback rate,the throughputs with subspace CS outperform the Discrete Cosine Transform(DCT)-based method which is usually employed,and the throughputs with standard CS outperform DCT when the feedback rate is larger than 0.13 bits/subcarrier.
出处 《China Communications》 SCIE CSCD 2011年第5期20-27,共8页 中国通信(英文版)
基金 supported by National Natural Science Foundation of China under Grant No.60972041,60872104 Open Research Foundation of National Mobile Communications Research Laboratory,Southeast University under Grant No.N200809 Natural Science Fundamental Research Program of Jiangsu Universities under Grant No.08 KJD510001 PH.D.Program Foundation of Ministry of Education under Grant No.200802930004 National Special Project under Grant No.2009ZX03003-006 National Basic Research Program of China under Grant No.2007CB310607 Graduate Innovation Program under Grant No.CX10B-186Z
关键词 CQI MULTI-CARRIER feedback compression compressive sensing CQI multi-carrier feedback compression compressive sensing
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参考文献16

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