Intel Corporation (20240305533). RADIO RESOURCE PLANNING AND SLICE-AWARE SCHEDULING FOR INTELLIGENT RADIO ACCESS NETWORK SLICING simplified abstract
Contents
RADIO RESOURCE PLANNING AND SLICE-AWARE SCHEDULING FOR INTELLIGENT RADIO ACCESS NETWORK SLICING
Organization Name
Inventor(s)
Jingwen Bai of San Jose CA (US)
Shu-ping Yeh of Campbell CA (US)
Shilpa Talwar of Cupertino CA (US)
RADIO RESOURCE PLANNING AND SLICE-AWARE SCHEDULING FOR INTELLIGENT RADIO ACCESS NETWORK SLICING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240305533 titled 'RADIO RESOURCE PLANNING AND SLICE-AWARE SCHEDULING FOR INTELLIGENT RADIO ACCESS NETWORK SLICING
The present disclosure introduces a resilient (radio) access network (RAN) slicing framework that includes a resource planning engine and distributed dynamic slice-aware scheduling modules at network access nodes, edge compute nodes, or cloud computing services. This framework enables resource planning, slice-aware scheduling, and signaling exchanges for provisioning resilient RAN slicing, allowing for efficient and agile resource isolation compared to existing network slicing technologies.
- Resource planning engine included in the resilient RAN slicing framework
- Distributed dynamic slice-aware scheduling modules at network access nodes, edge compute nodes, or cloud computing services
- Signaling exchanges for provisioning resilient RAN slicing
- Enhanced resource isolation in a more efficient and agile manner than existing network slicing technologies
- Focus on resilience and efficiency in managing network resources
Potential Applications: - Telecommunications industry for optimizing network resource allocation - Edge computing environments for efficient data processing and management - Cloud computing services for improved network performance and reliability
Problems Solved: - Inefficient resource allocation in traditional network slicing - Lack of agility in managing network resources - Limited resilience in network operations
Benefits: - Enhanced resource planning and allocation - Improved network performance and reliability - Increased agility in managing network resources
Commercial Applications: Title: Resilient RAN Slicing Framework for Enhanced Network Resource Management This technology can be utilized by telecommunications companies, edge computing providers, and cloud computing services to optimize network resource allocation, improve network performance, and enhance overall network resilience.
Questions about Resilient RAN Slicing Framework: 1. How does the resilient RAN slicing framework improve resource planning and allocation? 2. What are the key differences between this framework and existing network slicing technologies?
Original Abstract Submitted
the present disclosure provides a resilient (radio) access network ((r)an) slicing framework encompassing a resource planning engine and distributed dynamic slice-aware scheduling modules at one or more network access nodes, edge compute nodes, or cloud computing service. the resilient (r)an slicing framework includes resource planning and slice-aware scheduling, as well as signaling exchanges for provisioning resilient (r)an slicing. the intelligent (r)an slicing framework can realize resource isolation in a more efficient and agile manner than existing network slicing technologies.
