Joint Vehicular Social Semantic Extraction, Transmission and Cache for High QoE Digital Twin

Xintian Ren, Jun Wu, Qianqian Pan, Shahid Mumtaz

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

Abstract

Digital twins have been extensively explored in vehicular social networks, while wireless communication quality is limited to support digital twins and their applications due to the high mobility of the vehicular environment. To address this issue, we propose a semantic communication empowered two-level digital twin architecture, called Semantic Twin, which supports reliable communication of efficient cloud-edge collaborative vehicular digital twin, specifically comprising low-level semantic twin (L-SemTwin) and high-level semantic twin (H-SemTwin). First, we design a social behavior semantic extraction scheme based on semantic encoder on the vehicle side to capture essential content features. Second, a semantic transmission scheme in vehicle-to-everything communication is performed to reduce the overall transmission burden and error rate, and build L-SemTwin. Moreover, we propose a deep reinforcement learning-based semantic caching strategy with the assistance of city-wise semantic information in cloud-side H-SemTwin. The experiment results demonstrate the promotion under the proposed architecture compared to conventional methods in terms of the quality of communication and user experience in vehicular social networks.

Original languageEnglish
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2275-2280
Number of pages6
ISBN (Electronic)9798350310900
DOIs
Publication statusPublished - 2023
Event2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia
Duration: 2023 Dec 42023 Dec 8

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period23/12/423/12/8

Keywords

  • Deep Reinforcement Learning
  • Digital Twin
  • Semantic Communication
  • Vehicular Social Network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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