Sparse Coding Quantization for Downlink MU-MIMO with Limited CSI Feedback

被引：0
|
作者：
Wang, Qi [1 ]
Feng, Hao [1 ]
Cimini, Leonard J. [1 ]
Greenstein, Larry J. [1 ]
Chan, Douglas S. [2 ]
Hedayat, Ahmadreza [2 ]
机构：
[1] Univ Delaware, Newark, DE 19716 USA
[2] Cisco Syst, Beijing, Peoples R China
来源：
2013 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2013) | 2013年
关键词：
BLOCK DIAGONALIZATION; SYSTEMS; COMMUNICATION; CAPACITY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel quantization method, sparse coding quantization (SCQ), is proposed for downlink multiuser multiple-input multiple-output (MU-MIMO) systems. Compared to conventional vector quantization (VQ), SCQ utilizes a linear combination of several codewords rather than a single one to represent the channel matrix. Both analytical and simulation results reveal that the proposed technique can achieve the same sum rate performance as VQ at a reasonable cost in feedback overhead. Thus, SCQ is more practical because it significantly reduces the time and space complexity for generating, searching and storing the codebook.
引用
收藏
页码：1268 / 1272
页数：5
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