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- Title
Low-Complexity Joint Weighted Neumann Series and Gauss–Seidel Soft-Output Detection for Massive MIMO Systems.
- Authors
Dai, Xiaoming; Yan, Tiantian; Dong, Yuanyuan; Luo, Yuquan; Li, Hua
- Abstract
We introduce a joint weighted Neumann series (WNS) and Gauss–Seidel (GS) approach to implement an approximated linear minimum mean-squared error (LMMSE) detector for uplink massive multiple-input multiple-output (M-MIMO) systems. We first propose to initialize the GS iteration by a WNS method, which produces a closer-to-LMMSE initial solution than the conventional zero vector and diagonal-matrix based scheme. Then the GS algorithm is applied to implement an approximated LMMSE detection iteratively. Furthermore, based on the WNS, we devise a low-complexity approximate log-likelihood ratios (LLRs) computation method whose performance loss is negligible compared with the exact method. Numerical results illustrate that the proposed joint WNS-GS approach outperforms the conventional method and achieves near-LMMSE performance with significantly lower computational complexity.
- Subjects
MIMO systems; ALGORITHMS; COMPUTATIONAL complexity; DETECTORS
- Publication
Wireless Personal Communications, 2021, Vol 120, Issue 4, p2801
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-021-08557-2