Channel Covariance Matrix Estimation via Dimension Reduction for Hybrid MIMO MmWave Communication Systems
Hybrid massive MIMO structures with lower hardware complexity and power consumption have been considered as potential candidates for millimeter wave (mmWave) communications. Channel covariance information can be used for designing transmitter precoders, receiver combiners, channel estimators, etc. H...
Main Authors: | Rui Hu, Jun Tong, Jiangtao Xi, Qinghua Guo, Yanguang Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/15/3368 |
Similar Items
-
Robust Gridless Estimation of Angles and Delays for Full-Dimensional Wideband mmWave Channels
by: Ting-Ming Yang, et al.
Published: (2023-01-01) -
Utilizing Multi-Dimensional MmWave MIMO Channel Features for Location Verification
by: Pinchang Zhang, et al.
Published: (2022-11-01) -
Deep Learning-Based Channel Estimation for mmWave Massive MIMO Systems in Mixed-ADC Architecture
by: Rui Zhang, et al.
Published: (2022-05-01) -
Leveraging Massive MIMO Over mmWave Fronthaul Link for Throughput Maximization in Cloud Radio Access Networks
by: Iqra Farhat, et al.
Published: (2024-01-01) -
Precise Channel Estimation Approach for a mmWave MIMO System
by: Prateek Saurabh Srivastav, et al.
Published: (2020-06-01)