Deep Learning Based Beam Training for Extremely Large-Scale Massive MIMO in Near-Field Domain
Author:
Affiliation:
1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
2. School of Engineering, University of Kent, Canterbury, U.K.
Funder
National Natural Science Foundation of China
Basic Research Project of Jiangsu Provincial Department of Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10008392/09903646.pdf?arnumber=9903646
Reference13 articles.
1. Mobility and Blockage-Aware Communications in Millimeter-Wave Vehicular Networks
2. On the Uplink Transmission of Extra-Large Scale Massive MIMO Systems
3. ImageNet classification with deep convolutional neural networks;krizhevsky;Proc NIPS,2012
4. Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?
5. Analysis of beam sweep channel estimation in MmWave massive MIMO networks
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