Radio Resource Scheduling in 5G Network Slicing
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Solution Overview
Problem
In 5G base station systems with network slicing, ensuring appropriate allocation of radio resources to schedulers while maintaining quality of service across slices is challenging due to varying data traffic and communication quality among wireless terminals.
Innovation Solution
A control apparatus that identifies the required amount of radio resources for each scheduler based on data traffic and communication quality, and allocates these resources along with a margin to ensure appropriate scheduling without waste or insufficient resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radio resources are allocated to each scheduler based on predetermined distribution ratio, then isolation between slices is ensured, but radio resources cannot be used appropriately for scheduling while maintaining quality of service
Solution Approach 1:
The patent implements dynamic radio resource allocation by transitioning from static predetermined distribution ratios to real-time allocation based on actual data traffic volumes and communication quality metrics. The control apparatus continuously monitors resource usage and adjusts allocations dynamically to match current network conditions, ensuring both slice isolation and appropriate resource utilization.
Solution Approach 2:
The patent changes the allocation parameters from fixed distribution ratios to variable parameters including data traffic volume, communication quality indicators, and scheduler-specific requirements. This allows the system to adapt resource allocation to actual network conditions while maintaining service quality across different slices.
2Device complexity
If radio resources are allocated without considering actual data traffic and communication quality, then allocation process is simple, but schedulers have insufficient or excessive resources
Solution Approach 1:
The patent implements feedback mechanisms where the control apparatus continuously monitors data traffic volumes, communication quality metrics, and scheduler resource usage. This feedback loop enables the system to identify when schedulers have insufficient or excessive resources and automatically adjust allocations to achieve optimal resource distribution based on actual network conditions.
Solution Approach 2:
The system enables schedulers to self-adjust their resource allocations based on monitored performance metrics and feedback from the control apparatus. Each scheduler can autonomously optimize its resource usage within the constraints set by the control apparatus, reducing manual intervention while ensuring adequate resource availability.
Data Source
AI summary
A plurality of schedulers each corresponding to one or more slices perform, in a same cell formed by one RU, scheduling of radio resources for a UE that uses a corresponding slice. A RAN controller identifies, for each of a plurality of schedulers, an amount of radio resources required for each scheduler in a predetermined period T, based on an amount of data and a communication quality of wireless communication by the UE in the cell. The RAN controller further allocates, to each of the plurality of schedulers, the identified amount of radio resources and a margin of radio resources that can be used for the scheduling.