Decentralized Collaborative Caching-based Virtual Reality for 5G and beyond

Tri Nguyen Dang, Jeong Min Jeon, Latif U. Khan, Aunas Manzoor, Choong Seon Hong

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

3 Citations (Scopus)

Abstract

Multi-access edge computing (MEC) is witnessed to be an integral part of emerging augmented reality (AR) / virtual reality (VR) applications. These applications require contents from the cloud, thus suffer from high latency that is not desirable. To address this issue, one can store the frequently requested content at the MEC server. However, MEC servers have limited computing capabilities. Additionally, there are significant variations in a number of requests from the MEC server. Therefore, we propose collaborative edge caching. Our collaborative edge caching will serve the end-users in collaboration to fully exploit the available caching resources at the network edge. We derive optimization scheme based on the alternating direction method of multipliers(ADMM). Finally, we perform numerical evaluations to demonstrate the effectiveness of our proposed scheme.

Original languageEnglish
Title of host publication2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages394-397
Number of pages4
ISBN (Electronic)9784885523328
DOIs
Publication statusPublished - 8 Sept 2021
Event22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 - Virtual, Online, Taiwan, Province of China
Duration: 8 Sept 202110 Sept 2021

Publication series

Name2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021

Conference

Conference22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
Country/TerritoryTaiwan, Province of China
CityVirtual, Online
Period8/09/2110/09/21

Bibliographical note

Publisher Copyright:
© 2021 IEICE.

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