RIC Scheduling for Per-Terminal SLA Control in Open RAN
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Solution Overview
Problem
Existing wireless communication systems face challenges in ensuring service level agreements (SLAs) due to difficulties in accurately determining and managing quality of service (QoS) and quality of experience (QoE) for individual terminals or groups, leading to inefficiencies in network resource allocation and interface load.
Innovation Solution
A radio access network intelligent controller (RIC) collects and manages target QoS/QoE violation information for each terminal or group, allowing for precise determination of SLA satisfaction and optimizing network control through configuration and scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system monitors and manages QoS/QoE for each individual terminal or terminal group, then the accuracy of SLA determination is improved, but the interface load and system complexity increase
Solution Approach 1:
The system segments terminal management into individual terminal-level monitoring and terminal group-level monitoring. The RIC can selectively apply granular monitoring to specific terminals or groups based on SLA requirements, rather than uniformly monitoring all terminals. This segmentation allows high-accuracy SLA determination for critical terminals while reducing overall interface load by aggregating monitoring for less critical terminals into groups.
Solution Approach 2:
The system applies different monitoring granularities to different terminals or terminal groups based on their specific SLA requirements. High-priority terminals with strict SLA demands receive individual-level monitoring for maximum accuracy, while lower-priority terminals are monitored at the group level to reduce interface load. This local quality approach optimizes the balance between measurement precision and system complexity.
2Reliability
If the RIC collects and manages detailed QoS/QoE violation information for each terminal, then the service quality management is improved, but the operational complexity increases
Solution Approach 1:
The RIC segments service quality management into terminal-specific QoS/QoE violation monitoring and group-level aggregation. By organizing monitoring data at multiple levels (individual terminal and terminal group), the system maintains detailed service quality information for critical terminals while reducing operational complexity through grouped aggregation for less critical terminals.
Solution Approach 2:
The RIC acts as an intermediary between the O-DU and service quality requirements. It receives QoS/QoE violation information from the O-DU, processes and aggregates this information appropriately based on terminal priorities, and generates targeted control messages. This intermediary role simplifies operational complexity by centralizing the complexity management function in the RIC rather than distributing it across multiple network elements.
3Productivity
If the system provides customized scheduling information for each terminal based on SLA requirements, then the network efficiency is improved, but the control message overhead increases
Solution Approach 1:
The system segments scheduling information delivery into individual terminal-specific scheduling messages and terminal group-level scheduling messages. The RIC generates customized scheduling information for individual terminals when required by SLA requirements, while providing aggregated or standardized scheduling information for terminal groups to reduce control message overhead. This segmentation allows network efficiency optimization for critical terminals without proportionally increasing overall message overhead.
Solution Approach 2:
The system applies different scheduling information delivery granularities to different terminals based on their SLA requirements. High-priority terminals receive detailed, customized scheduling messages for optimal network efficiency, while lower-priority terminals receive standardized or aggregated scheduling information. This local quality approach optimizes the balance between network efficiency and control message overhead by matching message detail to actual service requirements.
Data Source
AI summary
A method performed by a radio access network intelligent controller (RIC) in a wireless communication system is provided. The method includes transmitting, to an open radio access network distributed unit (O-DU), a subscription request message including configuration information for reporting whether the service level agreement is satisfied for each terminal or terminal group, receiving, from the O-DU through an E2 interface, an indication message including information on whether the service level agreement is satisfied, and transmitting, to the O-DU, a control message including scheduling information configured based on the indication message.