On the Context-Aware, Dynamic Spectrum Access for Robust Intraplatoon Communications

Author:

Sybis Michał1ORCID,Kryszkiewicz Paweł1ORCID,Sroka Paweł1ORCID

Affiliation:

1. Chair of Wireless Communications, Poznan University of Technology, Poznan, Poland

Abstract

Vehicle platooning is a promising technology that allows to improve the traffic efficiency and passengers safety. Platoons that use cooperative adaptive cruise control, however, require a reliable radio link between platoon members to ensure a required distance between the cars within the platoon, thus maintaining platoon safety. Nowadays, the communication can be realized with the use of 802.11p or cellular vehicle-to-vehicle (C-V2V), but none of this technology is able to provide a reliable link especially in the presence of high traffic or urban scenarios. Therefore, in this paper, we propose a dynamic spectrum management mechanism in V2V communications for platooning purposes. A management system architecture is proposed that comprises the use of context-aware databases, sensing nodes, and spectrum allocation entity. The proposed robust system design aims to keep only the minimum necessary information transmitted over the conventional intelligent transportation system (ITS) channel, while moving the remaining data (nonsafety, service-aided, or infotainment) to an alternative channel that is selected from the available pool of spectrum white spaces. The initial analysis indicates that the proposed system may significantly improve the performance of wireless communications for the purpose of vehicle platooning.

Funder

Ministerstwo Nauki i Szkolnictwa Wyzszego

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Memory Enabled Bumblebee-Based Dynamic Spectrum Access for Platooning Environments;IEEE Transactions on Vehicular Technology;2023-05

2. Path Loss and Shadowing Modeling for Vehicle-to-Vehicle Communications in Terrestrial TV Band;IEEE Transactions on Antennas and Propagation;2023-01

3. Federated Learning-Based Interference Modeling for Vehicular Dynamic Spectrum Access;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

4. Autonomous Controller-Aware Scheduling of Intra-Platoon V2V Communications;Sensors;2022-12-21

5. Improving the quality of service by continuous traffic monitoring using reinforcement learning model in VANET;International Journal of Modeling, Simulation, and Scientific Computing;2022-12

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