CICV5G: A 5G Communication Delay Dataset for PnC in Cloud-based Intelligent Connected Vehicles
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912320704217088 |
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| author | Zhang, Xinrui Zhang, Peizhi Huang, Junpeng Feng, Haojie Ma, Yining Shen, Feng Xiong, Lu |
| author_facet | Zhang, Xinrui Zhang, Peizhi Huang, Junpeng Feng, Haojie Ma, Yining Shen, Feng Xiong, Lu |
| contents | Cloud-based intelligent connected vehicles (CICVs) leverage cloud computing and vehicle-to-everything (V2X) to enable efficient information exchange and cooperative control. However, communication delay is a critical factor in vehicle-cloud interactions, potentially deteriorating the planning and control (PnC) performance of CICVs. To explore whether the new generation of communication technology, 5G, can support the PnC of CICVs, we present CICV5G, a publicly available 5G communication delay dataset for the PnC of CICVs. This dataset offers real-time delay variations across diverse traffic environments, velocity, data transmission frequencies, and network conditions. It contains over 300,000 records, with each record consists of the network performance indicators (e.g., cell ID, reference signal received power, and signal-to-noise ratio) and PnC related data (e.g., position). Based on the CICV5G, we compare the performance of CICVs with that of autonomous vehicles and examine how delay impacts the PnC of CICVs. The object of this dataset is to support research in developing more accurate communication models and to provide a valuable reference for scheme development and network deployment for CICVs. To ensure that the research community can benefit from this work, our dataset and accompanying code are made publicly available. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_08255 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CICV5G: A 5G Communication Delay Dataset for PnC in Cloud-based Intelligent Connected Vehicles Zhang, Xinrui Zhang, Peizhi Huang, Junpeng Feng, Haojie Ma, Yining Shen, Feng Xiong, Lu Networking and Internet Architecture Emerging Technologies Cloud-based intelligent connected vehicles (CICVs) leverage cloud computing and vehicle-to-everything (V2X) to enable efficient information exchange and cooperative control. However, communication delay is a critical factor in vehicle-cloud interactions, potentially deteriorating the planning and control (PnC) performance of CICVs. To explore whether the new generation of communication technology, 5G, can support the PnC of CICVs, we present CICV5G, a publicly available 5G communication delay dataset for the PnC of CICVs. This dataset offers real-time delay variations across diverse traffic environments, velocity, data transmission frequencies, and network conditions. It contains over 300,000 records, with each record consists of the network performance indicators (e.g., cell ID, reference signal received power, and signal-to-noise ratio) and PnC related data (e.g., position). Based on the CICV5G, we compare the performance of CICVs with that of autonomous vehicles and examine how delay impacts the PnC of CICVs. The object of this dataset is to support research in developing more accurate communication models and to provide a valuable reference for scheme development and network deployment for CICVs. To ensure that the research community can benefit from this work, our dataset and accompanying code are made publicly available. |
| title | CICV5G: A 5G Communication Delay Dataset for PnC in Cloud-based Intelligent Connected Vehicles |
| topic | Networking and Internet Architecture Emerging Technologies |
| url | https://arxiv.org/abs/2504.08255 |