A Robust Hybrid Iterative Linear Detector for Massive MIMO Uplink Systems
Fifth-generation (5G) communications system is commercially introduced by several mobile operators where sub-6 GHz bands are the backbone of the 5G networks. A large-scale multiple-input multiple-output (MIMO), or massive MIMO (mMIMO), technology has a major impact to secure high data rate, high spe...
Main Authors: | Mahmoud A. Albreem, Mohammed H. Alsharif, Sunghwan Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/12/2/306 |
Similar Items
-
Massive MIMO Detectors Based on Deep Learning, Stair Matrix, and Approximate Matrix Inversion Methods
by: Mahmoud A. Albreem, et al.
Published: (2023-01-01) -
Fast Converging Gauss–Seidel Iterative Algorithm for Massive MIMO Systems
by: Dong Shen, et al.
Published: (2023-11-01) -
Tridiagonal Iterative Method for Linear Systems
by: Jinrui Guan, et al.
Published: (2017-10-01) -
A Low Complexity Near-Optimal Iterative Linear Detector for Massive MIMO in Realistic Radio Channels of 5G Communication Systems
by: Mahmoud A. Albreem, et al.
Published: (2020-03-01) -
Hybrid Linear Iterative Signal Detection Algorithm for Massive MIMO Systems
by: Xiao-hua ZHANG, et al.
Published: (2022-04-01)