DISTRIBUTIVE ESTIMATION OF FREQUENCY SELECTIVE CHANNELS FOR MASSIVE MIMO SYSTEMS

被引：0
|
作者：
Zaib, Alam [1 ]
Masood, Mudassir [2 ]
Ghogho, Mounir [3 ]
Al-Naffouri, Tareq Y. [1 ,2 ]
机构：
[1] King Fand Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
[2] King Abdullah Univ Sci & Technol, Dept Elect Engn, Thuwal 239556900, Saudi Arabia
[3] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 91T, W Yorkshire, England
来源：
2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2015年
关键词：
Channel estimation; massive MIMO; Least squares; LMMSE; distributed estimation; WIRELESS; NETWORKS; ANTENNAS;
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 consider frequency selective channel estimation in the uplink of massive MIMO-OFDM systems, where our major concern is complexity. A low complexity distributed LMMSE algorithm is proposed that attains near optimal channel impulse response (CIR) estimates from noisy observations at receive antenna array. In proposed method, every antenna estimates the CERs of its neighborhood followed by recursive sharing of estimates with immediate neighbors. At each step, every antenna calculates the weighted average of shared estimates which converges to near optimal LMMSE solution, The simulation results validate the near optimal performance of proposed algorithm in terms of mean square error (MSE).
引用
收藏
页码：889 / 893
页数：5
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