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Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond

  • Shams Ur Rahman
  • , Ajmal Khan
  • , Muhammad Usman
  • , Muhammad Bilal
  • , You Ze Cho
  • , Hesham El-Sayed
  • University of Engineering & Technology Mardan
  • Woosong University
  • Hankuk University of Foreign Studies
  • Kyungpook National University

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The ultra-dense deployment (UDD) of small cells in 5G and beyond to enhance capacity and data rate is promising, but since user densities continually change, the static deployment of small cells can lead to wastes of capital, the underutilization of resources, and user dissatisfaction. This work proposes the use of Aerial Base Stations (ABSs) wherein small cells are mounted on Unmanned Aerial Vehicles (UAVs), which can be deployed to a set of candidate locations. Furthermore, based on the current user densities, this work studies the optimal placement of the ABSs, at a subset of potential candidate positions, to maximize the total received power and signal-to-interference ratio. The problems of the optimal placement for increasing received power and signal-to-interference ratio are formulated, and optimal placement solutions are designed. The proposed solutions compute the optimal candidate locations for the ABSs based on the current user densities. When the user densities change significantly, the proposed solutions can be re-executed to re-compute the optimal candidate locations for the ABSs, and hence the ABSs can be moved to their new candidate locations. Simulation results show that a 22% or more increase in the total received power can be achieved through the optimal placement of the Aerial BSs and that more than 60% users have more than 80% chance to have their individual received power increased.

Original languageEnglish
Article number7098
JournalSensors
Volume23
Issue number16
DOIs
StatePublished - Aug 2023

Keywords

  • 5G
  • UAV network
  • dynamic repositioning
  • optimal positioning
  • throughput maximization
  • ultra-dense deployment

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