HORA: Joint Handover and Resource Allocation on 3D Networks for Industrial IoT

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Abstract

Three Dimensional Networks (3D Networks) architecture, incorporating terrestrial, aerial, and satellite communication layers, offers improved connectivity, reduced latency, and extended application coverage to rural and mountainous areas. The extended coverage and the onboard computing resources of flying nodes benefit industrial Internet of things (IIoT) applications, connecting remote factories with edge computing facilities. Blind source separation (BSS) is an important scenario of continuous monitoring and predictive maintenance for smart factories, and in this paper, we explored the possibility of integrating it with 3D Networks. Leveraging scarce computing resources at aerial and satellite layers, we propose a joint handover and resource allocation scheme to offload IIoT applications. Evaluation results from real traces and a tailor-made simulator exhibit the potential to realize remote manufacturing monitoring with 3D Networks and BSS, and at the end of the paper we analyzed the factors that have the most influence on the job completion time and gave possible solutions for future work.

Details

Original languageEnglish
Title of host publication28th European Wireless Conference, EW 2023
PublisherVDE Verlag, Berlin [u. a.]
Pages36-41
Number of pages6
ISBN (electronic)9783800762262
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesEuropean Wireless Conference

Conference

Title28th European Wireless Conference
Subtitle6G driving a sustainable growth
Abbreviated titleEW 2023
Conference number28
Duration2 - 4 October 2023
CityRome
CountryItaly

External IDs

ORCID /0000-0001-7008-1537/work/159171836
ORCID /0000-0001-8469-9573/work/161891354

Keywords

Sustainable Development Goals

Keywords

  • 3D Networks, blind source separation, handover, non-terrestrial network, resource allocation