On-Demand Density-Aware UAV Base Station 3D Placement for Arbitrarily Distributed Users with Guaranteed Data Rates

Chuan-Chi Lai, Chun Ting Chen, Li-Chun Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

In this letter, we study the on-demand unmanned aerial vehicle mounted base stations (UAV-BS) placement problem for arbitrarily distributed users. This UAV-BS placement problem is modeled as a knapsack-like problem, which is NP-complete. We propose a density-aware placement algorithm to maximize the number of covered users subject to the constraint of the minimum required data rates per user. Simulations are conducted to evaluate the performance of the proposed algorithm in a real environment with different user densities. Our numerical results indicate that for various user densities our proposed solution can service more users with guaranteed data rates compared to the existing method, while reducing the transmit power by 29%.

Original languageEnglish
Article number8642333
Pages (from-to)913-916
Number of pages4
JournalIEEE Wireless Communications Letters
Volume8
Issue number3
DOIs
StatePublished - 1 Jun 2019

Keywords

  • air-to-ground channel model
  • base station
  • knapsack-like problem
  • UAV placement
  • Unmanned aerial vehicle

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