Minimizing Pilot Overhead in Cell-Free Massive MIMO Systems via Joint Estimation and Detection

被引:4
|
作者
Song, Haochuan [1 ,2 ,4 ]
You, Xiaohu [2 ]
Zhang, Chuan [1 ,2 ]
Tirkkonen, Olav [3 ]
Studer, Christoph [4 ]
机构
[1] Lab Efficient Architectures Digital Commun & Sign, Nanjing, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China
[3] Aalto Univ, Aalto, Finland
[4] Cornell Tech, New York, NY 10044 USA
关键词
CHANNEL ESTIMATION; PERFORMANCE;
D O I
10.1109/spawc48557.2020.9154310
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 propose a joint channel estimation and data detection (JED) algorithm for cell-free massive multi-user (MU) multiple-input multiple-output (MIMO) systems. Our algorithm yields improved reliability and reduced latency while minimizing the pilot overhead of coherent uplink transmission. The proposed JED method builds upon a novel non-convex optimization problem that we solve approximately and efficiently using forward-backward splitting. We use simulation results to demonstrate that our algorithm achieves robust data transmission with more than 3x reduced pilot overhead compared to orthogonal training in a 128 antenna cell-free massive MU-MIMO system in which 128 users transmit data over 128 time slots.
引用
收藏
页数:5
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