An Overview of Low-Rank Channel Estimation for Massive MIMO Systems
Massive multiple-input multiple-output is a promising physical layer technology for 5G wireless communications due to its capability of high spectrum and energy efficiency, high spatial resolution, and simple transceiver design. To embrace its potential gains, the acquisition of channel state inform...
Main Authors: | Hongxiang Xie, Feifei Gao, Shi Jin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7727995/ |
Similar Items
-
Beam-Blocked Channel Estimation for FDD Massive MIMO With Compressed Feedback
by: Wei Huang, et al.
Published: (2017-01-01) -
Multipath Extraction Based UL/DL Channel Estimation for FDD Massive MIMO-OFDM Systems
by: Wei Ji, et al.
Published: (2021-01-01) -
A Low Rank Channel Estimation Scheme in Massive Multiple-Input Multiple-Output
by: Waleed Shahjehan, et al.
Published: (2018-10-01) -
Compressive Sensing-based Sparsity Adaptive Channel Estimation for 5G Massive MIMO Systems
by: Imran Khan, et al.
Published: (2018-05-01) -
Achievable Spectral Efficiency of Hybrid Beamforming Massive MIMO Systems With Quantized Phase Shifters, Channel Non-Reciprocity and Estimation Errors
by: Yawen Chen, et al.
Published: (2020-01-01)