Intelligent Distributed Beam Selection for Cell-Free Massive MIMO Hybrid Precoding
Author:
Affiliation:
1. National Mobile Communication Research Laboratory, Southeast University, Nanjing, China
2. Purple Mountain Laboratories, Nanjing, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10314840/10255707.pdf?arnumber=10255707
Reference23 articles.
1. Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding
2. Multi-UE Multi-AP Beam Alignment in User-Centric Cell-Free Massive MIMO Systems Operating at mmWave
3. Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
4. Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming
5. Joint Antenna Selection and Hybrid Beamformer Design Using Unquantized and Quantized Deep Learning Networks
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