Switching Strategy for Connected Vehicles Under Variant Harsh Weather Conditions

Switching Strategy for Connected Vehicles Under Variant Harsh Weather Conditions
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DOI:
10.1109/jrfid.2023.3274602
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发表时间:
2023
影响因子:
3.1
通讯作者:
Jian Liu;A. Nazeri;Chunheng Zhao;Esmail M. M. Abuhdima-Esmail-M.-M.-Abuhdima-31030309;G. Comert;Chin-Tser Huang;P. Pisu
Jian Liu;A. Nazeri;Chunheng Zhao;Esmail M. M. Abuhdima-Esmail-M.-M.-Abuhdima-31030309;G. Comert;Chin-Tser Huang;P. Pisu
中科院分区:
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文献类型:
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作者:
Jian Liu;A. Nazeri;Chunheng Zhao;Esmail M. M. Abuhdima-Esmail-M.-M.-Abuhdima-31030309;G. Comert;Chin-Tser Huang;P. Pisu

文献摘要

相似文献

随着5G网络和先进通信技术的发展,联网车辆(CV)正成为未来交通日益重要的方面。联网车辆通常会生成大量数据,需要快速、可靠、低延迟的通信通道。 5G 毫米波 (mmWave) 对于 CV 场景中的下一代车对车 (V2V) 通信至关重要。然而,雨、雪、灰尘和沙子等恶劣天气条件可能会严重影响 V2V 通信的 5G 毫米波通道的性能。在恶劣的天气条件下保持联网车辆的无缝连接是研究人员必须解决的重大挑战。在本文中,我们提出了一种两阶段策略,使联网车辆能够在中等和恶劣的天气条件下有效运行。我们提出的方法涉及一个预测步骤,该步骤使用机器学习技术来预测天气模式并确定最佳通信策略,然后是一个切换步骤,该步骤根据预测在频率或频道切换之间进行无缝选择。通过结合这两个步骤,我们的目标是提供一个强大而高效的通信系统,可以适应不同的天气条件。 NS3仿真结果表明,我们的切换策略是有效的,可以使车联网技术领域受益。
With the development of 5G networks and advanced communication technologies, connected vehicles (CV) are becoming an increasingly important aspect of the future of transportation. The connected vehicles will usually generate a large amount of data that require fast and reliable communication channels with low latency. 5G millimeter-wave (mmWave) is crucial for the next generation of vehicle-to-vehicle (V2V) communications in CV scenarios. However, harsh weather conditions such as rain, snow, dust, and sand can significantly impact the performance of 5G mmWave channels for V2V communications. Maintaining seamless connections for connected vehicles during harsh weather conditions is a significant challenge that researchers must address. In this paper, we propose a two-stage strategy enabling connected vehicles to operate effectively under moderate and severe weather conditions. Our proposed approach involves a prediction step, which uses machine learning techniques to forecast weather patterns and determine the optimal communication strategy, followed by a switching step, which seamlessly chooses between frequency or channel switch based on the prediction. By incorporating these two steps, we aim to provide a robust and efficient communication system that can adapt to different weather conditions. The NS3 simulation results show that our switching strategy is effective and can benefit the field of connected vehicle technology.