A Two-stage Prediction-based Beam Selection Algorithm in MmWave Massive MIMO Systems
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,National Engineering Research Center of Mobile Network Technologies,Beijing,China,100876
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10293227/10293746/10293811.pdf?arnumber=10293811
Reference13 articles.
1. DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications;alkhateeb,2019
2. Self-Supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels
3. Reducing the System Overhead of Millimeter-Wave Beamforming With Neural Networks for 5G and Beyond
4. Location- and Orientation-Aided Millimeter Wave Beam Selection Using Deep Learning
5. A Tutorial on Beam Management for 3GPP NR at mmWave Frequencies
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