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.
|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|
|Publication status||Published - 2023|