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A Novel Resource Allocation Scheme with Unmanned Aerial Vehicles in Disaster Relief Networks

  • Zhou Su
  • , Minghui Dai
  • , Qichao Xu
  • , Ruidong Li
  • Shanghai University
  • Japan National Institute of Information and Communications Technology

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

2 Scopus citations

Abstract

The growing number of natural disasters results in the infrastructure communication facing critical challenges. However, existing networks might be destroyed or overloaded in disasters, the performance of real-time response and low latency is the crucial issue in disaster relief services. Therefore, in this paper, a resource allocation scheme with unmanned aerial vehicles (UAVs) in disaster relief networks is proposed to improve the quality of experience (QoE) for user equipments (UEs). First, the network model is developed for UAVs to provide communication services in disaster area. Second, the channel allocation problem for UEs is presented to improve the throughput of UEs, and the channel allocation algorithm based on potential game for UEs is provided. Third, to incentivize UAVs and improve the efficiency of resource allocation, the incentive scheme for channel allocation is established. Finally, simulation results demonstrate that the proposed scheme can significantly improve the communication efficiency.

Original languageEnglish
Title of host publication2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages102-106
Number of pages5
ISBN (Electronic)9781728173276
DOIs
StatePublished - 9 Aug 2020
Externally publishedYes
Event2020 IEEE/CIC International Conference on Communications in China, ICCC 2020 - Chongqing, China
Duration: 9 Aug 202011 Aug 2020

Publication series

Name2020 IEEE/CIC International Conference on Communications in China, ICCC 2020

Conference

Conference2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
Country/TerritoryChina
CityChongqing
Period9/08/2011/08/20

Keywords

  • Disaster relief networks
  • incentive scheme
  • resource allocation
  • unmanned aerial vehicles (UAVs)

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