RIC Subscription for Explicit UE List Assignment
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Solution Overview
Problem
Current 5G wireless systems face challenges in dynamically managing user equipment (UE) performance by efficiently modifying operations based on real-time performance measurements, particularly in handling explicit UE list assignments and policy changes.
Innovation Solution
Implementing a radio intelligent controller (RIC) subscription procedure that allows for event triggers based on explicit UE list assignment commands, enabling the near-RT RIC to initiate sequences of RIC service actions, such as REPORT, INSERT, CONTROL, and POLICY, to modify UE operations and performance metrics, like scheduler behavior, by adding or removing UEs from specific lists.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If explicit UE list assignment commands are implemented for dynamic policy modification, then UE performance management and resource allocation are improved, but system complexity and signaling overhead increase
Solution Approach 1:
The system segments UE management by introducing explicit UE lists that categorize UEs based on performance metrics and policy requirements. This allows differentiated policy application to specific UE groups rather than uniform management, improving efficiency while maintaining manageable system complexity through structured organization.
Solution Approach 2:
The network device pre-configures explicit UE lists and associates policies with these lists before actual UE performance issues arise. When UEs are added to or removed from these pre-defined lists, corresponding policies are automatically triggered, enabling rapid response without complex real-time decision-making processes.
2Reliability
If real-time measurement reports are processed for policy modification, then UE operation optimization is improved, but processing time and computational resources increase
Solution Approach 1:
The system implements a feedback mechanism where UEs continuously report performance measurements to the network device. These measurements trigger automatic policy re-evaluation and modification, creating a closed-loop system that optimizes UE operations in real-time based on actual performance data without requiring extensive manual intervention.
Solution Approach 2:
The system combines multiple functions into the explicit UE list mechanism: UE identification, performance monitoring, policy selection, and policy application are all integrated through the list-based approach. This consolidation reduces processing overhead by handling multiple tasks through a unified structure rather than separate complex procedures.
3Productivity
If dynamic policy modification is implemented based on UE list assignments, then network resource allocation is improved, but signaling overhead between network devices increases
Solution Approach 1:
The explicit UE list structure serves multiple functions simultaneously: it acts as a UE identification mechanism, a policy association container, and a trigger for resource allocation decisions. This multi-functionality reduces signaling overhead by eliminating the need for separate messages for each function, as the list structure itself carries multiple meanings and triggers multiple actions.
Data Source
AI summary
Event triggering based on explicit user equipment list assignment command events is provided. A method may be performed by a network device of initiating a radio intelligent controller subscription procedure to modify a policy of a user device to change at least an operation of the user device, when determining that the user device is underperforming. The network device transmits to a network node a request to change at least the operation of the user device according to the radio intelligent controller subscription procedure.