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 language | English |
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Title of host publication | Proceedings of 2023 IEEE 97th Vehicular Technology Conference (VTC 2023) |
Place of Publication | New York, USA |
Publisher | Institute of Electrical and Electronics Engineers, Inc |
ISBN (Electronic) | 9798350311143 |
ISBN (Print) | 9798350311150 |
DOIs | |
Publication status | Published - 2023 |