Title
Efficient Belief Propagation Detection Based On Channel Hardening For Massive Mimo
Abstract
For massive multiple-input multiple-output (MIMO) detection, belief propagation (BP) based on graphical models has become a popular detection algorithm since it provides a good tradeoff between performance and complexity. To further lower the complexity of BP detection, an efficient BP detection based on channel hardening (BP-CH) is proposed. In this paper, the comparison in terms of both performance and complexity between proposed BP-CH and general BP is firstly investigated exhaustively. Simulation results have shown that the proposed BP-CH achieves similar performance behavior as general BP while keeping lower computational complexity. Additionally, an folded hardware architecture for proposed BP-CH detector is designed to improve the implementation efficiency. Meanwhile, VLSI implementation results have verified the great advantage of BP-CH regarding hardware overhead, especially for scenarios with large system loading factor.
Year
DOI
Venue
2019
10.1109/icassp.2019.8682557
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
MIMO, belief propagation (BP), channel hardening, system loading factor, cyclic shift property
Mathematical optimization,Computer science,MIMO,Hardening (computing),Communication channel,Algorithm,Graphical model,Detector,Very-large-scale integration,Hardware architecture,Belief propagation
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yaping Zhang121.05
Shusen Jing201.01
Zaichen Zhang313420.67
xiaohu you42529272.49
Chuan Zhang510013.67