Abstract:
The implementation of network slicing services, designed to fulfill the diverse requirements of each Vehicle-to-Everything (V2X) use case, has significantly facilitated t...Show MoreMetadata
Abstract:
The implementation of network slicing services, designed to fulfill the diverse requirements of each Vehicle-to-Everything (V2X) use case, has significantly facilitated the expansion of the Internet of Vehicles (IoV). Three critical communication needs for the V2X ecosystem are ensured by network slicing: ultra-low latency and high reliability, enhanced mobile broadband, and massive machine-type communication (mMTC) support. In addition, network scalability, high mobility, and large density are taken into account. It is noteworthy that the utilization of network slicing technology has evolved beyond its fundamental objectives. In this context, the application of network cutting technology extends its objectives to encompass aspects beyond the essential requirements. This review aims to scrutinize and categorize scientific research endeavors within this domain, according to the specific objectives underlying the adoption of network slicing technology in the IoV ecosystem.
Date of Conference: 24-25 April 2024
Date Added to IEEE Xplore: 03 June 2024
ISBN Information:
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- IEEE Keywords
- Index Terms
- Internet Of Vehicles ,
- Network Slicing ,
- Massive Machine-type Communications ,
- Privacy ,
- Deep Learning ,
- Resource Allocation ,
- Service Quality ,
- Resource Utilization ,
- Network Performance ,
- Pedestrian ,
- Application Requirements ,
- Intelligent Systems ,
- Deep Reinforcement Learning ,
- Edge Computing ,
- 5G Networks ,
- Intelligent Transportation Systems ,
- Mobile Edge Computing ,
- Radio Access Network ,
- Vehicular Ad Hoc Networks ,
- Virtual Network Functions ,
- Optimal Utilization Of Resources ,
- Ultra-reliable Low-latency Communications ,
- Mobile Network Operators ,
- V2X Communication ,
- Cloud Computing ,
- Artificial Intelligence Models ,
- Machine Learning
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Internet Of Vehicles ,
- Network Slicing ,
- Massive Machine-type Communications ,
- Privacy ,
- Deep Learning ,
- Resource Allocation ,
- Service Quality ,
- Resource Utilization ,
- Network Performance ,
- Pedestrian ,
- Application Requirements ,
- Intelligent Systems ,
- Deep Reinforcement Learning ,
- Edge Computing ,
- 5G Networks ,
- Intelligent Transportation Systems ,
- Mobile Edge Computing ,
- Radio Access Network ,
- Vehicular Ad Hoc Networks ,
- Virtual Network Functions ,
- Optimal Utilization Of Resources ,
- Ultra-reliable Low-latency Communications ,
- Mobile Network Operators ,
- V2X Communication ,
- Cloud Computing ,
- Artificial Intelligence Models ,
- Machine Learning
- Author Keywords