English

Radio Environment Map and Deep Q-Learning for 5G Dynamic Point Blanking

Networking and Internet Architecture 2022-10-27 v2

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%.

Keywords

Cite

@article{arxiv.2209.12034,
  title  = {Radio Environment Map and Deep Q-Learning for 5G Dynamic Point Blanking},
  author = {Marcin Hoffmann and Paweł Kryszkiewicz},
  journal= {arXiv preprint arXiv:2209.12034},
  year   = {2022}
}
R2 v1 2026-06-28T02:01:26.031Z