Paper Info
Title
Efficient Expectation Propagation Massive MIMO Detector With Neumann-Series Approximation
Abstract
Expectation propagation (EP) attains near-optimal performance for massive multiple-input multiple-output (MIMO) detection. However, the inevitable matrix inversions and exponentiations at each EP iteration bring great challenges to realistic hardware implementation. To address these issues, a low-complexity EP with iterative Neumann-series Approximation (EP-INSA) detector is proposed by employing INSA to estimate the inverse matrices. Further approximations are applied to avoid the exponentiations, which makes EP-INSA an efficient, feasible, and hardware-friendly detector for massive MIMO with various modulations. Simulation results show that EP-INSA attains similar performance as exact EP with only a few INSA terms, which assures enhanced performance and complexity trade-off. The associated hardware architectures of EP-INSA detector are also presented. The implementation results on 65 nm CMOS technology show that our design yields a throughput of 0.62 Gb/s with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.63\times $ </tex-math></inline-formula> area efficiency of existing EP detector.
Year
DOI
Venue
2020
10.1109/TCSII.2019.2959402
IEEE Transactions on Circuits and Systems II: Express Briefs
Keywords
DocType
Volume
Detectors,Complexity theory,Approximation algorithms,Modulation,Massive MIMO,Circuits and systems
Journal
67
Issue
ISSN
Citations 
10
1549-7747
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Xiaosi Tan1144.99
Weihong Xu2103.20
Yaping Zhang321.05
Zaichen Zhang413420.67
xiaohu you52529272.49
Chuan Zhang610013.67