Low complexity hybrid iterative algorithm based signal detection in massive MIMO system
Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which ma...
Saved in:
Main Authors: | Shufeng ZHAO, Bin SHEN, Furong YANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2017-07-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017186/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems
by: Dong ZHOU, et al.
Published: (2019-03-01) -
Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system
by: Hongyu ZHAO, et al.
Published: (2020-03-01) -
Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system
by: Min SHEN, et al.
Published: (2017-08-01) -
Low-complexity beamspace channel estimation for wideband millimeter-wave massive MIMO system
by: Jiafeng QIU
Published: (2020-08-01) -
The modification of the generalized gauss-seidel iteration techniques for absolute value equations
by: Rashid Ali, et al.
Published: (2022-12-01)