Model based Beamspace Channel Estimation for Millimeter Wave Massive MIMO System

被引：0
|
作者：
Xia, Zhikang [1 ]
Qi, Chenhao [1 ]
Zhang, Tengxiang [1 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
来源：
2018 10TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP) | 2018年
基金：
中国国家自然科学基金;
关键词：
Millimeter wave (mmWave) communications; massive MIMO; channel estimation; channel power leakage;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Channel estimation concerning channel power leak-age is investigated for millimeter wave (mmWave) massive MIMO system where the base station (BS) is equipped with uniform planar array (UPA). To model the channel leakage, the leakage effect of two dimensional beamspace channel is firstly analyzed. A theorem is proved to show that a four-point star (FS)-based model is better than the existing dual-crossing (DC)-based model. Then a FS-based beamspace channel estimation algorithm is proposed, where the initial selection of dominant entries is computed offline and then the selection is iteratively refined until the stop condition is satisfied. Simulation results verify the effectiveness of our work and show that the FS-based channel estimation algorithm outperforms the DC-based channel estimation algorithm.
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页数：6
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