Knowledge Base Aware Semantic Communication in Vehicular Networks

Xia, L. , Sun, Y. , Niyato, D., Ma, K., Kang, J. and Imran, M. (2023) Knowledge Base Aware Semantic Communication in Vehicular Networks. In: IEEE International Conference on Communication (ICC 2023), Rome, Italy, 28 May - 01 Jun 2023, pp. 3989-3994. ISBN 9781538674628 (doi: 10.1109/ICC45041.2023.10279404)

Abstract

Semantic communication (SemCom) has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore the potential of applying SemCom to vehicular networks, which normally consume a tremendous amount of resources to achieve stringent requirements on high reliability and low latency. Unfortunately, the unique background knowledge matching mechanism in SemCom makes it challenging to realize efficient vehicle-to-vehicle service provisioning for multiple users at the same time. To this end, this paper identifies and jointly addresses two fundamental problems of knowledge base construction (KBC) and vehicle service pairing (VSP) inherently existing in SemCom-enabled vehicular networks. Concretely, we first derive the knowledge matching based queuing latency specific for semantic data packets, and then formulate a latency-minimization problem subject to several KBC and VSP related reliability constraints. Afterward, a SemCom-empowered Service Supplying Solution (S4) is proposed along with the theoretical analysis of its optimality guarantee. Simulation results demonstrate the superiority of S4 in terms of average queuing latency, semantic data packet throughput, and user knowledge preference satisfaction compared with two different benchmarks.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Xia, Le and Imran, Professor Muhammad and Sun, Dr Yao
• Authors: Xia, L., Sun, Y., Niyato, D., Ma, K., Kang, J., and Imran, M.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISSN: 1938-1883
• ISBN: 9781538674628
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in ICC 2023 - IEEE International Conference on Communications
• Publisher Policy: Reproduced in accordance with the publisher copyright policy