A nested tensor-based receiver employing triple constellation precoding for three-hop cooperative communication systems

被引:2
|
作者
Han, Xi [1 ]
Ying, Jiaxi [2 ]
Liu, An [3 ]
Ma, Li [1 ]
机构
[1] North China Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China
[3] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou, Peoples R China
基金
北京市自然科学基金;
关键词
Constellation precoding; Nested PARAFAC; TC; CHANNEL ESTIMATION; MASSIVE MIMO; DESIGN; RADAR;
D O I
10.1016/j.dsp.2022.103862
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
In this paper, we consider a three-hop amplify-and-forward (AF) relaying system employing triple constellation (TC) precoding independently at the source and relay nodes. The signals received at the destination form a fifth-order tensor satisfying a nested parallel factor (PARAFAC) model. Exploiting this nested structure, we derive two inner PARAFAC models and one outer PARAFAC model in terms of a TC coding scheme, which are then used to devise a tensor-based receiver allowing joint estimation of information symbols and individual channels. Simulation results show that the proposed receiver outperforms several competing tensor-based receivers, and operates close to the zero-forcing receiver with perfect channel state information.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页数:7
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