Quality-Aware Caching, Computing and Communication Design for Video Delivery in Vehicular Networks

Ting Yen Kuo, Ming Chun Lee, Ta Sung Lee

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

7 Scopus citations

Abstract

To satisfy the increasing demands of wireless traffic in vehicular networks, how to significantly improve vehicular networks becomes a critical issue. Motivated by the potential benefits of jointly using edge-computing and edge-caching in vehicular networks, this paper considers investigating the quality-aware caching, computing and communication (3C) optimization for video delivery in vehicular networks. By incorporating the quality-awareness with 3C models, we formulate a quality-aware joint 3C optimization problem. Then, by considering the practice that the caches might be pre-determined along with the formulated 3C problem, we obtain the quality-aware joint 2C optimization problem with caching. We propose effective approaches to solve these two problems. Simulation results show that our proposed approaches can outperform the reference schemes significantly.

Original languageEnglish
Title of host publicationICC 2022 - IEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-266
Number of pages6
ISBN (Electronic)9781538683477
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Communications, ICC 2022 - Seoul, Korea, Republic of
Duration: 16 May 202220 May 2022

Publication series

NameIEEE International Conference on Communications
Volume2022-May
ISSN (Print)1550-3607

Conference

Conference2022 IEEE International Conference on Communications, ICC 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period16/05/2220/05/22

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