Abstract | ||
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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 |
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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 Hoffmann | 1 | 0 | 0.68 |
Paweł Kryszkiewicz | 2 | 0 | 0.34 |