Network Slicing Workload Scheduler for Dynamic Resource Allocation
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Solution Overview
Problem
Conventional network infrastructure faces challenges in efficiently managing and allocating physical and radio resources across different network slices, especially in dynamic environments with varying traffic patterns and device movements, leading to suboptimal resource utilization and increased costs.
Innovation Solution
A resource management method and system that analyzes monitoring reports and service requests to predict and adjust radio resource arrangements in real-time, using a workload scheduling apparatus within the O-RAN framework to optimize slicing resources across network slices, ensuring effective use and meeting changing demand targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed deployment method with fully functional apparatus is used, then service coverage is ensured, but infrastructure cost and resource waste increase
Solution Approach 1:
The patent segments the network infrastructure into multiple network slices, each dedicated to specific service types (eMBB, URLLC, mMTC, V2X). This allows resources to be divided and allocated dynamically to different services rather than maintaining a monolithic fixed infrastructure, reducing overall infrastructure costs while ensuring each service receives adequate coverage.
Solution Approach 2:
The patent implements dynamic resource allocation where network resources (computing processors, storage devices, radio resources) can be flexibly assigned and reconfigured based on real-time service demands. This dynamic approach replaces the static fixed deployment method, allowing the system to adapt to varying traffic patterns and service requirements, thereby reducing infrastructure costs while maintaining service coverage.
2Loss of energy
If network resources are allocated statically, then infrastructure cost is reduced, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic resource allocation where network resources (computing processors, storage devices, radio resources) can be flexibly assigned and reconfigured based on real-time service demands. This dynamic approach replaces the static fixed deployment method, allowing the system to adapt to varying traffic patterns and service requirements, thereby reducing infrastructure costs while maintaining service coverage.
Solution Approach 2:
The patent changes the allocation parameters of network resources dynamically based on service type and demand characteristics. Different network slices (eMBB, URLLC, mMTC, V2X) receive customized resource allocations with specific computing, storage, and radio parameters adjusted according to their unique requirements, optimizing resource utilization efficiency while controlling infrastructure costs.
3Productivity
If network slicing is implemented dynamically, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the network into standardized network slices (eMBB, URLLC, mMTC, V2X) with defined characteristics and resource requirements. This segmentation provides a structured framework that simplifies the complexity of dynamic resource allocation by organizing services into distinct, manageable categories, each with predefined allocation rules.
Solution Approach 2:
The patent creates a universal network slice framework that can handle multiple service types through a common architecture. The standardized slice definitions and unified resource management mechanisms allow the system to manage diverse services (broadband, low-latency, IoT, vehicle communications) through a single multi-functional platform, reducing the complexity that would arise from separate management systems for each service type.
Data Source
AI summary
A resource management method, a resource management system, and a workload scheduling apparatus for network slicing are provided. In the method resource management, a service request related to an application type of a terminal device is received. A monitoring report of the terminal device is obtained according to the service request. The monitoring result relates to a condition of the radio resource used by the terminal device. A usage situation of a slicing resource is analyzed based on the slicing resource requested by the service request and the monitoring report to predict a predicted arrangement result of the slicing resource. The slicing resource requested by the service result is arranged according to the predicted arrangement result to transmit a corresponding setting configuration to the radio access network. The setting configuration serves to adjust the slicing resource. Accordingly, the request of the service and the current condition are fulfilled.