Radio Resource Management for Individual User Equipment Control
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Solution Overview
Problem
Current communication systems fail to individually control user equipment based on the quality conditions and usage conditions experienced by the user, leading to suboptimal resource allocation and customer experience.
Innovation Solution
A method and apparatus that utilize usage condition information and network performance information to adjust subscription profile parameters, allowing for individual control of user equipment through radio resource management, including traffic steering and load balancing, by analyzing customer insights and network performance data to optimize customer experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user equipment is controlled based on radio conditions only, then resource allocation is simplified, but quality of experience is suboptimal
Solution Approach 1:
The patent segments the control mechanism into multiple independent components: usage condition information collection, network performance information collection, subscription profile parameter storage, and dynamic adjustment logic. This modular segmentation allows the system to handle complex QOE optimization through coordinated simple components, resolving the contradiction between reliability improvement and complexity increase.
Solution Approach 2:
The system performs preliminary actions by collecting and storing usage condition information and network performance information before QOE degradation occurs. Subscription profile parameters are pre-configured and ready for dynamic adjustment, enabling proactive QOE optimization rather than reactive response, thus improving reliability without requiring complex real-time decision mechanisms.
2Productivity
If individual user control is implemented, then customer experience is optimized, but network complexity increases
Solution Approach 1:
The subscription profile parameter structure is designed to be universal and multi-functional, serving multiple purposes: traffic steering decisions, load balancing control, admission control parameters, and mobility management. This single universal parameter set replaces multiple specialized control mechanisms, enabling individual user optimization without proportionally increasing network management complexity.
Solution Approach 2:
The system enables self-service by allowing user equipment to autonomously apply subscription profile parameters for radio resource management decisions. The network provides the parameter framework, but individual UEs independently make optimization decisions based on their specific conditions, distributing complexity from centralized network management to distributed user equipment.
3Productivity
If subscription profile parameters are dynamically adjusted, then resource allocation is optimized, but system stability may be compromised
Solution Approach 1:
The system implements feedback mechanisms where network performance information and usage condition information continuously monitor the effects of subscription profile parameter adjustments. This feedback loop allows the system to detect when dynamic adjustments are causing instability and to revert or modify parameters accordingly, maintaining system stability while enabling resource allocation optimization.
Solution Approach 2:
The patent applies dynamics by making subscription profile parameters adjustable and adaptive rather than static. Parameters can be dynamically modified based on changing network conditions and user behavior patterns, allowing the system to optimize resource allocation in response to varying conditions while maintaining overall stability through controlled adaptability.
Data Source
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AI summary
A method comprises receiving at least one of a) usage condition information relating to one or more usage conditions of a user equipment and b) network performance information; and using said information to cause a change in one or more parameters which individually control a or said user equipment, said parameters being radio resource management parameters.