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 |
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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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| _version_ | 1841530863303524352 |
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| author | Yuhang JIA Yixue LEI Yipeng ZHANG Yunfei ZHANG |
| author_facet | Yuhang JIA Yixue LEI Yipeng ZHANG Yunfei ZHANG |
| author_sort | Yuhang JIA |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ccde1d8d754449c2b825db314a82fd2c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2023-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-ccde1d8d754449c2b825db314a82fd2c2025-01-15T02:58:59ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-03-013915316159570106Network information exposure based QoS prediction in tele-operated drivingYuhang JIAYixue LEIYipeng ZHANGYunfei ZHANGThe 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023011/PQoSQoEToDnetwork information exposure |
| spellingShingle | Yuhang JIA Yixue LEI Yipeng ZHANG Yunfei ZHANG Network information exposure based QoS prediction in tele-operated driving Dianxin kexue PQoS QoE ToD network information exposure |
| title | Network information exposure based QoS prediction in tele-operated driving |
| title_full | Network information exposure based QoS prediction in tele-operated driving |
| title_fullStr | Network information exposure based QoS prediction in tele-operated driving |
| title_full_unstemmed | Network information exposure based QoS prediction in tele-operated driving |
| title_short | Network information exposure based QoS prediction in tele-operated driving |
| title_sort | network information exposure based qos prediction in tele operated driving |
| topic | PQoS QoE ToD network information exposure |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023011/ |
| work_keys_str_mv | AT yuhangjia networkinformationexposurebasedqospredictioninteleoperateddriving AT yixuelei networkinformationexposurebasedqospredictioninteleoperateddriving AT yipengzhang networkinformationexposurebasedqospredictioninteleoperateddriving AT yunfeizhang networkinformationexposurebasedqospredictioninteleoperateddriving |