基于机器学习的C-V2X链路决策

2023 International Conference on Smart Applications, Communications and Networking (SmartNets) Pub Date : 2023-07-25 DOI:10.1109/SmartNets58706.2023.10215916

Ömer Sokmaz, Ahmet Yazar

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引用次数: 0

摘要

近年来，车联网(V2X)通信标准开始趋于成熟。5G通信系统的演进期也加速了V2X概念的发展。在此期间，蜂窝V2X (C-V2X)标准将由3GPP组织加强。本文提出了一种新的方法来确定C-V2X系统的两种不同模式(模式3和模式4)的通信链路。提出的方法是基于机器学习(ML)技术的环境意识角度开发的。

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C-V2X Link Decision with Machine Learning

Vehicle-to-everything (V2X) communications standards have started to reach a maturity in recent years. The evolution period of 5G communications systems also accelerates the development of V2X concept. In this period, cellular V2X (C-V2X) standards are enhanced by the 3GPP organization. In this paper, a novel approach is proposed to decide on a communications link for two different modes (Mode 3 and Mode 4) of C-V2X systems. The proposed approach is developed in an environmental-aware perspective based on machine learning (ML) techniques.

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2023 International Conference on Smart Applications, Communications and Networking (SmartNets)

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