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Dynamic resource scheduling for real-time group broadcasting in 6G cellular vehicular networks
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Authors: Soyi Jung, Marco Levorato, Joongheon Kim
Status: Final
Date of publication: 8 July 2022
Published in: ITU Journal on Future and Evolving Technologies, Volume 3 (2022), Issue 1, Pages 81-88
Article DOI : https://doi.org/10.52953/CBBH2039
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Abstract:
Vehicle-to-Vehicle (V2V) messaging is an indispensable component of connected autonomous vehicle systems. The 3rd Generation Partnership Project (3GPP) is designed to support V2V communication without any infrastructure using sensing-based Semi-Persistent Scheduling (SPS) in order to avoid resource collisions for Cooperative Awareness Messages (CAMs) transmission. However, the legacy system suffers from significant collisions in a traffic congestion environment and resource waste in light traffic conditions. To address these problems, in this paper we propose a novel dynamic resource scheduling algorithm for real-time group broadcasting, inspired by the Lyapunov optimization framework, where the optimization objective is to minimize time-average failure probability subject to queue stability. Through extensive simulations, we show that the proposed scheduling algorithm outperforms the standard in both traffic jams and leisurely road environments. |
Keywords: Cooperative awareness message (CAM), dynamic resource allocation, group broadcasting, LTE-V2X, V2V communication
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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