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Delay-Outage Probability of Capacity Achieving-Based Task Offloading for Mobile Edge Computing

  • Nazarbayev University

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

Abstract

In this research work, we consider edge computing technology for task offloading from Internet of Things (IoT) device with the latency reduction aim. We study the usage of capacity achieving schemes such as space-division-multiple access (SDMA) when directional antennas are utilized non-orthogonal multiple access (NOMA). The network of multiple mobile edge computing (MEC) nodes operates under Rayleigh and Nakagami-m fading channels. We evaluate the performance of the proposed schemes by the delay-outage probability criteria. In the analytical part, we first find the total time of task offloading. Then, a closed form expression for the delay-outage probability of capacity achieving schemes is introduced. In the simulation part, the impact of various parameters on system performance is investigated. In addition, the proposed scheme is compared with TDMA approach by the reliability metric and relevant conclusions are made.

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.
Pages236-242
Number of pages7
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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