Joint Vehicular Social Semantic Extraction, Transmission and Cache for High QoE Digital Twin-Reference-Cited by-同舟云学术

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

Published:2023-12-04 Issue: Volume: Page:2275-2280
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Ren Xintian¹,Wu Jun²,Pan Qianqian³,Mumtaz Shahid⁴

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,China

2. Graduate School of Information, Production and Systems, Waseda University,Japan

3. School of Engineering, The University of Tokyo,Japan

4. Nottingham Trent University,Department of Engineering,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437533.pdf?arnumber=10437533

Reference17 articles.

1. A review of QoE research progress in metaverse

2. 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities

3. Efficient Offloading for Minimizing Task Computation Delay of NOMA-Based Multiaccess Edge Computing

4. Exploiting Benefits of IRS in Wireless Powered NOMA Networks

5. FCSS: Fog-Computing-based Content-Aware Filtering for Security Services in Information-Centric Social Networks

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