Enhancing C-V2X network connectivity with distributed mobility control

Jingxuan MEN, Yun HOU, Zhengguo SHENG, Tse Tin David CHAN

Research output: Chapter in Book/Report/Conference proceedingChapters

1 Citation (Scopus)

Abstract

The high mobility feature of vehicular networks poses tremendous challenges to maintaining network connectivity. In this paper, we investigate the possibility of enhancing the connectivity of Cellular Vehicle-to-Everything (C-V2X) networks through distributed trajectory adjustment. Based on a physical layer abstraction model, we characterize the network connectivity enhancement problem as a network utility maximization and study its concavity. We propose a distributed trajectory updating algorithm that dynamically adjusts the trajectory of vehicles on top of their planned trajectory. The algorithm is distributed and requires only geo-location exchanges, which are readily available in V2X networks. Simulation results show that the mobility updating algorithm converges and improves the aggregated network utility by up to 48% compared to the scenarios without mobility tuning. Copyright © 2023 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Original languageEnglish
Title of host publicationProceedings of 2023 IEEE 97th Vehicular Technology Conference (VTC 2023)
Place of PublicationNew York, USA
PublisherInstitute of Electrical and Electronics Engineers, Inc
ISBN (Electronic)9798350311143
ISBN (Print)9798350311150
DOIs
Publication statusPublished - 2023

Citation

Men, J., Hou, Y., Sheng, Z., & Chan, T.-T. (2023). Enhancing C-V2X network connectivity with distributed mobility control. In Proceedings of 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10200772

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