Beam Training and Power Allocation in Near-Field NOMA Systems Based on DRL
Author:
Affiliation:
1. School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,Nanjing,China,210003
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10419380/10419200/10419700.pdf?arnumber=10419700
Reference13 articles.
1. A Primer on Near-Field Beamforming for Arrays and Reconfigurable Intelligent Surfaces
2. Codebook design and beam training for extremely large-scale RIS: Far-field or near-field?
3. Deep Learning Based Beam Training for Extremely Large-Scale Massive MIMO in Near-Field Domain
4. Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning
5. Reinforcement Learning-Based NOMA Power Allocation in the Presence of Smart Jamming
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