Superimposed Training-aided Channel Estimation for Massive MIMO Uplink: High Mobility Case

被引：0
|
作者：
Wu, Xianda [1 ,2 ]
Qiu, Jiapeng [1 ,2 ]
Sun, Yili [1 ,2 ]
Zhang, Han [1 ,2 ,3 ]
机构：
[1] S China Normal Univ, Dept Phys & Telecommun Engn, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Prov Engn Res Ctr Optoelect Instrument, Guangzhou, Guangdong, Peoples R China
[3] Guangxi Key Lab Wireless Wideband Commun & Signal, Guilin, Peoples R China
来源：
2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2015年
关键词：
ANTENNA SYSTEMS; WIRELESS;
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：
This paper concerns with the uplink transmission of a massive MIMO system under high mobility environments. By modeling the fading channel as complex exponential basis expansion model, this paper presents a superimposed training (ST)-aided channel estimation scheme, and mathematically characterizes the impact that ST has on the performance of such a very large MIMO system when the number of antennas NI grows to infinity Compared with the existing methods, the proposed scheme requires no additional time-slot reserved for pilots, and thus provide the potential for improving the transmission efficiency. Both theoretical and numerical results validate the effectiveness of our scheme.
引用
收藏
页码：83 / 88
页数：6
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