An iterative MPD‐CNN structure for massive MIMO detection under correlated noise channels
Abstract In massive multiple‐input multiple‐output (MIMO) systems, most of the existing detection work mainly assumes that the channel is the additive white Gaussian noise (AWGN). However, this assumption is difficult to apply to practical communication scenarios. To this end, this paper proposes a...
Main Authors: | Zufan Zhang, Di Zhang, Xiaoqin Yan, Chenquan Gan, Qingyi Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-07-01
|
Series: | IET Communications |
Online Access: | https://doi.org/10.1049/cmu2.12176 |
Similar Items
-
A tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction
by: Chenquan Gan, et al.
Published: (2020-04-01) -
The optimally designed autoencoder network for compressed sensing
by: Zufan Zhang, et al.
Published: (2019-04-01) -
An Iterative Channel Estimation Method for Multi-Cell Massive MIMO Systems
by: Zhiqiang Yi, et al.
Published: (2018-01-01) -
Deep CNN and Equivalent Channel Based Hybrid Precoding for mmWave Massive MIMO Systems
by: Xiaolong Bao, et al.
Published: (2020-01-01) -
Dynamical Propagation Model of Malware for Cloud Computing Security
by: Chenquan Gan, et al.
Published: (2020-01-01)