Autors: Samal, S.R., Swain, K., Bandopadhaya, S., Dandanov, N., Poulkov, V. K., Routray, S., Palai, G.
Title: Dynamic Coverage Optimization for 5G Ultra-dense Cellular Networks Based on Their User Densities
Keywords: 5G; Coverage and capacity optimization (CCO); Reinforcement learning (RL); Remote electrical tilt (RET); Ultra-dense cellular networks; User density

Abstract: This paper has proposed a user-density-based coverage optimization technique for ultra-dense cellular networks. Antenna tilting is a promising coverage optimization technique to be used in 5G networks, that significantly improve the signal to interference plus noise ratio (SINR) by choosing the appropriate angle of tilt. In this paper, the cellular coverage has been optimized for scattered user densities/user hotspots using an adaptive antenna tilting mechanism that steers the beams towards the temporal hot spot in the coverage area. The proposed method has the competence to improve the desired SINR level and coverage area for a group of users rather than a single user. In this work, a reinforcement learning (RL) algorithm has been implemented to optimize the tilt angle. The performance of the proposed technique has been evaluated in the simulation platform considering a three-sectored multicellular mobile network where the groups of user clusters are distributed randomly. The result

References

    Issue

    Wireless Personal Communications, 2022, Switzerland, Springer, DOI 10.1007/s11277-022-09969-4

    Copyright Springer Science+Business Media, LLC, part of Springer Nature

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science