Distributed Neural Precoding for Hybrid mmWave MIMO Communications With Limited Feedback
Author:
Affiliation:
1. National Mobile Communications Research Laboratory (NCRL), Southeast University, Nanjing, China
2. Department of Electrical Engineering, Zhengzhou University, Zhengzhou, China
3. Xiaomi Corporation, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9826535/09758773.pdf?arnumber=9758773
Reference23 articles.
1. Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning
2. Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems: A Deep Learning Approach
3. Data Augmentation Empowered Neural Precoding for Multiuser MIMO With MMSE Model
4. Unsupervised Learning-Based Fast Beamforming Design for Downlink MIMO
5. Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays
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