UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication

Akniyet Amantayeva, Moldir Yerzhanova, Refik Kizilirmak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Small-scale unmanned aerial vehicles (UAVs) are considered to support vehicular networks in the form of air-to-ground communication. In this paper, we consider a VLC based air-to-ground communication channel where the small-scale UAV provides multiple access to a cluster of cars. The simulation results reveal that the UAV position influences the capacity of each car with the cars that are closer to the UAV achieving higher capacity. Furthermore, the optimum location of the UAV is found to be the location closer to the car with high data rate demand. Another result of the paper is that larger number of cars in the system leads to smaller improvement in the sum capacity compared to non-optimized UAV position scenario.

Original languageEnglish
Title of host publication2019 Wireless Days, WD 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728101170
DOIs
Publication statusPublished - Apr 1 2019
Event2019 Wireless Days, WD 2019 - Manchester, United Kingdom
Duration: Apr 24 2019Apr 26 2019

Publication series

NameIFIP Wireless Days
Volume2019-April
ISSN (Print)2156-9711
ISSN (Electronic)2156-972X

Conference

Conference2019 Wireless Days, WD 2019
CountryUnited Kingdom
CityManchester
Period4/24/194/26/19

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Amantayeva, A., Yerzhanova, M., & Kizilirmak, R. (2019). UAV Location Optimization for UAV-to-Vehicle Multiple Access Channel with Visible Light Communication. In 2019 Wireless Days, WD 2019 [8734156] (IFIP Wireless Days; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/WD.2019.8734156