Semantic Communication for AR-based Services in 5G and Beyond

Tri Nguyen Dang, Loc X. Nguyen, Huy Q. Le, Ki Tae Kim, S. M.Ahsan Kazmi, Seong Bae Park, Eui Nam Huh, Choong Seon Hong

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

6 Citations (Scopus)

Abstract

Semantic communication (SemCom) is a phenomenal technology to break through the Shannon paradigm. It is considered a key enabler for communication technology beyond the fifth generation of mobile networks (B5G) and its applications. In SemCom, transmitting data contain semantic information rather than symbols or bits, regardless of its meaning. In this paper, we propose a novel system model for Augmented Reality (AR)-based services in wireless networks. In which, instead of transmitting the whole input data to the multi-access edge computing (MEC) for processing, end-users (UEs) are transmitted only semantic features that are extracted from the original input data. By doing so, we can reduce a considerable amount of data traffic in the uplink scenario for wireless communication. Numerical results reveal that our proposed approach significantly reduces the total amount of data traffic in uplink scenarios for AR-based services.

Original languageEnglish
Title of host publication37th International Conference on Information Networking, ICOIN 2023
PublisherIEEE Computer Society
Pages549-553
Number of pages5
ISBN (Electronic)9781665462686
DOIs
Publication statusPublished - 2023
Event37th International Conference on Information Networking, ICOIN 2023 - Bangkok, Thailand
Duration: 11 Jan 202314 Jan 2023

Publication series

NameInternational Conference on Information Networking
Volume2023-January
ISSN (Print)1976-7684

Conference

Conference37th International Conference on Information Networking, ICOIN 2023
Country/TerritoryThailand
CityBangkok
Period11/01/2314/01/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Augmented Reality
  • B5G
  • Semantic communication

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