Paper Info
Title
A low-complexity Lanczos-algorithm-based detector with soft-output for multiuser massive MIMO systems.
Abstract
Zero-Forcing (ZF) algorithm achieves the near-optimal detection performance for massive multiple-input multiple-output (MIMO) systems at expense of performing the complicated matrix inversion of a high dimensional matrix. In this paper, a novel Lanczos-algorithm-based signal detection method with soft-output is proposed to iteratively realize ZF algorithm for multiuser massive MIIMO systems, which avoids the exact computation of matrix inversion and in turn reduces the computational complexity from O(K3) to O(K2), where K denotes the number of users. In the development of the proposed method, by analyzing the iterative process of Lanczos algorithm, an approximate low-complexity scheme is proposed to calculate the log likelihood ratios (LLRs) for soft channel decoding. Simulation results show that the proposed detector provides a relatively good tradeoff between the complexity and performance compared with the several recently proposed detectors, and achieves almost the same performance as the ZF algorithm with only 3 iterations.
Year
DOI
Venue
2017
10.1016/j.dsp.2017.06.018
Digital Signal Processing
Keywords
Field
DocType
Massive multiple-input multiple-output (MIMO),Lanczos algorithm,Soft-output,Signal detection,Zero-forcing (ZF)
Mathematical optimization,Detection theory,Iterative and incremental development,Matrix (mathematics),MIMO,Lanczos algorithm,Decoding methods,Detector,Mathematics,Computational complexity theory
Journal
Volume
ISSN
Citations 
69
1051-2004
3
PageRank 
References 
Authors
0.38
15
3
Name
Order
Citations
PageRank
Xiaorong Jing163.47
Ao Li2607.89
Hongqing Liu34528.77