Online Trajectory Optimization and Resource Allocation in UAV-Assisted NOMA-MEC Systems

Yadong Lu, Huan Zhou, Hengtao Wang, Tingyao Jiang, Victor C.M. Leung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the joint trajectory optimization and resource allocation problem in an UAV-Assisted NOMA-MEC System, aiming to minimize the system overhead. First, considering user mobility and Non-Orthogonal Multiple Access (NOMA) technology, we transform UAV trajectory optimization and resource allocation problem as a dynamic coverage location problem. Second, we design a Low-complexity Online Trajectory optimization and Resource allocation Scheme based on Lyapunov and convex optimization (LOTRS) with the goal of minimizing the system overhead. Simulation results show that compared with other benchmark schemes, the proposed LOTRS performs best in terms of system overhead in various scenarios.

Original languageEnglish
Title of host publication2024 IEEE/ACM 32nd International Symposium on Quality of Service, IWQoS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350350128
DOIs
StatePublished - 2024
Event32nd IEEE/ACM International Symposium on Quality of Service, IWQoS 2024 - Guangzhou, China
Duration: 19 Jun 202421 Jun 2024

Publication series

NameIEEE International Workshop on Quality of Service, IWQoS
ISSN (Print)1548-615X

Conference

Conference32nd IEEE/ACM International Symposium on Quality of Service, IWQoS 2024
Country/TerritoryChina
CityGuangzhou
Period19/06/2421/06/24

Keywords

  • NOMA
  • resource allocation
  • Trajectory optimization
  • UAV-assisted MEC
  • User Mobility

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