Efficient Channel Estimation in Massive MIMO Systems - A Distributed Approach

被引：0
|
作者：
Al-Naffouri, Tareq Y. [1 ,2 ]
机构：
[1] King Abdullah Univ Sci & Technol, Dept Elect Engn, Thuwal 239556900, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
来源：
2015 IEEE 6TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP) | 2015年
关键词：
SPARSE; RECOVERY;
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：
We present two efficient algorithms for distributed estimation of channels in massive MIMO systems. The two cases of 1) generic, and 2) sparse channels is considered. The algorithms estimate the impulse response for each channel observed by the antennas at the receiver (base station) in a coordinated manner by sharing minimal information among neighboring antennas. Simulations demonstrate the superior performance of the proposed methods as compared to other methods.
引用
收藏
页码：401 / 404
页数：4
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