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Edge Computing with Relaying for Task Offloading under Nakagami-m Fading Channels

  • Nazarbayev University

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

Abstract

In this work, edge computing model for task offloading from a user device to an edge node under Nakagami-m wireless fading channels is investigated. This analytically tractable fading channel millimeter wave (mmWave) bands utilized in 5G and beyond mobile networks. Two models have been developed for this aim, namely, edge computing with cache-assisted relaying and edge computing with cache-free relaying. Moreover, five criteria are analyzed for the best edge node selection. Then, the corresponding schemes are assessed in terms of the delay-reliability metric. In the analytical section, we formulate closed form expressions for the delay-outage probability of different relay-based edge computing schemes. Moreover, in the simulation section, the effect of various system parameters on the model performance is observed. Eventually, the schemes are compared by their performance and appropriate conclusions are drawn.

Original languageEnglish
Title of host publicationProceedings - IEEE Congress on Cybermatics
Subtitle of host publication2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages258-263
Number of pages6
ISBN (Electronic)9781665454179
DOIs
Publication statusPublished - 2022
Event2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green Computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2022 and 8th IEEE International Conference on Smart Data, SmartData 2022 - Espoo, Finland
Duration: Aug 22 2022Aug 25 2022

Publication series

NameProceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022

Conference

Conference2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green Computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2022 and 8th IEEE International Conference on Smart Data, SmartData 2022
Country/TerritoryFinland
CityEspoo
Period8/22/228/25/22

Funding

This research was supported by the Faculty Development Competitive Research Grant (No. 240919FD3918), Nazarbayev University.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization
  • Communication
  • Computer Science Applications

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