Title
Radio Environment Map and Deep Q-Learning for 5G Dynamic Point Blanking
Abstract
Dynamic Point Blanking (DPB) is one of the Coordinated MultiPoint (CoMP) techniques, where some Base Stations (BSs) can be temporarily muted, e.g., to improve the cell-edge users throughput. In this paper, it is proposed to obtain the muting pattern that improves cell-edge users throughput with the use of a Deep Q-Learning. The Deep Q-Learning agent is trained on location-dependent data. Simulation studies have shown that the proposed solution improves cell-edge user throughput by about 20.6%.
Year
DOI
Venue
2022
10.23919/SoftCOM55329.2022.9911517
2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Keywords
DocType
ISBN
5G,Massive MIMO,Radio Environment Map,Dynamic Point Blanking,Deep Q-Learning
Conference
978-1-6654-7018-6
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Marcin Hoffmann100.68
Paweł Kryszkiewicz200.34