Energy Efficiency Optimization in UAV-Assisted Communications and Edge Computing

Yang Yang, M. Cenk Gursoy

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

Abstract

Using unmanned aerial vehicles (UAVs) as aerial base stations has recently emerged as a promising solution to provide rapid connectivity in several scenarios. Motivated by these, we study a wireless network in which a UAV is an aerial platform and serves terrestrial non-orthogonal multiple access (NOMA) user equipments (UEs). In particular, we assume that the UAV acts as a mobile edge computing (MEC) node, offloading computation from the NOMA UEs. Our goal is to minimize the total power consumption in the network subject to deadline constraints for the computation task of each UE. We propose a framework to optimize both the power allocation and the trajectory of the UAV. To deal with the coupled parameters in the optimization, we decompose the optimization into three subproblems in order to optimize the power allocation, amount of data to be processed per UE per time slot, and trajectory of UAV, respectively. Simulation results demonstrate that the NOMA approach outperforms orthogonal multiple access (OMA) in terms of energy efficiency.

Original languageEnglish (US)
Title of host publication2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154787
DOIs
StatePublished - May 2020
Event21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020 - Atlanta, United States
Duration: May 26 2020May 29 2020

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2020-May

Conference

Conference21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020
Country/TerritoryUnited States
CityAtlanta
Period5/26/205/29/20

Keywords

  • energy efficiency
  • mobile edge computing
  • non-orthogonal multiple access (NOMA)
  • unmanned aerial vehicle

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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