Machine Learning-Enabled Joint Codebook Design and Beam Selection
Author:
Affiliation:
1. Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10639044/10639045/10639069.pdf?arnumber=10639069
Reference12 articles.
1. Ultra-reliable MU-MIMO detector based on deep learning for 5G/B5G-enabled IoT
2. Low complexity precoding for large millimeter wave MIMO systems
3. Joint Transceiver Design With Antenna Selection for Large-Scale MU-MIMO mmWave Systems
4. Millimeter Wave MIMO With Lens Antenna Array: A New Path Division Multiplexing Paradigm
5. Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware
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