Hybrid Precoding Based on Active Learning for mmWave Massive MIMO Communication Systems-Reference-Cited by-同舟云学术

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Hybrid Precoding Based on Active Learning for mmWave Massive MIMO Communication Systems

Published:2023-05 Issue:5 Volume:71 Page:3043-3058
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Nouri Mahdi¹^ORCID,Behroozi Hamid¹^ORCID,Bastami Hamed¹^ORCID,Moradikia Majid²,Jafarieh Alireza¹^ORCID,Abdelhadi Ahmed²,Han Zhu³^ORCID

Affiliation:

1. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

2. Department of Engineering Technology, University of Houston, Houston, TX, USA

3. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA

Funder

National Science Foundation

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/26/10128759/10057200-aam.pdf

Reference56 articles.

1. Attention-Based Hybrid Precoding for mmWave MIMO Systems

2. Power minimization hybrid precoding for millimeter wave communication systems

3. Deep Learning for SVD and Hybrid Beamforming

4. Machine Learning-Based Hybrid Precoding With Low-Resolution Analog Phase Shifters

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1. Hybrid Wideband Beamforming for Sum Spectral Efficiency Maximization in Millimeter-Wave Relay-Assisted Multiuser MIMO Cognitive Radio Networks;Mathematics;2023-12-12

2. Massive MIMO based beamforming by optical multi-hop communication with energy efficiency for smart grid IoT 5G application;Optical and Quantum Electronics;2023-12-08

3. DL-PC algorithm for partially-connected hybrid precoding in massive MIMO systems;Physical Communication;2023-12

4. RF Chain Selection Using Hybrid Optimization with Precoding in mm-Wave Massive MIMO Systems;Wireless Personal Communications;2023-06-07

5. Digital/Hybrid Beamforming via KLMS Algorithm in Presence of Mutual Coupling with Experimental Evaluation for 5G and V2V Communications;IEEE Transactions on Vehicular Technology;2023

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