Network information exposure based QoS prediction in tele-operated driving
The rapid development of 5G systems supports the stringent quality of service (QoS) requirements for many Internet of vehicles (IoV) use cases.However, there are still many problems in the adaptation of networks and applications.Network information exposure is a potential solution that also enables...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2023-03-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023011/ |
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| Summary: | The rapid development of 5G systems supports the stringent quality of service (QoS) requirements for many Internet of vehicles (IoV) use cases.However, there are still many problems in the adaptation of networks and applications.Network information exposure is a potential solution that also enables the network to provide real-time cellular wireless network information to applications, thereby helping service providers achieve better policy control and achieve an experience for users.A predictive QoS (PQoS) method based on network information exposure was proposed.Applications could respond in advance and improve users’ quality of experience (QoE) by predicting upcoming network changes.Firstly, the background of network information exposure and PQoS was introduced, and the research, standards, and implementation status of PQoS both at home and abroad were introduced.Then, a QoS prediction method based on network information exposure in tele-operated driving (ToD) was proposed, and experiments were carried out through actual test data and the feasibility of PQoS was verified through the evaluation and analysis.The results show that the QoS prediction based on the network information exposure can well support the application of some IoV, including 5G remote driving, which provides a reference for implementing the 5G system in the smart transportation industry. |
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| ISSN: | 1000-0801 |