UE Policy Processing via Physical State Information
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Solution Overview
Problem
Existing wireless communication systems do not effectively consider the physical state information of User Equipment (UE) when determining policies for network resource allocation and quality of service (QoS) control, leading to poor communication quality and resource wastage.
Innovation Solution
A policy processing method and apparatus that determine UE-related policies based on physical state information such as battery level, temperature, and memory usage, allowing for dynamic adjustment of network resource allocation and QoS control to optimize communication quality and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical state information of UE is considered when determining policies, then communication quality is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by having the UE proactively report its physical state information (battery level, temperature, memory usage) to the network element before policy decisions are made. This allows the network to have advance knowledge of the UE's state, enabling better policy determination without adding complex real-time monitoring mechanisms at the network side.
Solution Approach 2:
The patent introduces an intermediary mechanism where a second network element receives and forwards physical state information to the first network element that determines policies. This intermediary approach separates the information collection function from the policy decision function, reducing the complexity burden on any single network element while improving overall communication quality.
2Productivity
If physical state information is monitored and reported dynamically, then resource allocation efficiency is improved, but loss of time for information collection increases
Solution Approach 1:
The patent implements periodic action by having the UE monitor and report physical state information at predetermined intervals or when state changes occur. This periodic reporting mechanism ensures the network has up-to-date information for efficient resource allocation without requiring continuous monitoring, thus balancing resource allocation efficiency with acceptable information collection time.
Solution Approach 2:
The UE performs self-service by autonomously monitoring its own physical state information and determining when to report based on predefined conditions. This eliminates the need for the network to continuously query the UE for state information, reducing the time overhead for information collection while maintaining efficient resource allocation through timely updates.
3Adaptability or versatility
If policy updates are triggered by physical state changes, then adaptability is improved, but loss of time for policy updates increases
Solution Approach 1:
The patent applies feedback by establishing a closed-loop mechanism where the UE reports physical state changes to the network, which then updates policies accordingly. The feedback is triggered only when state changes occur, enabling the system to adapt to changing conditions while avoiding unnecessary policy updates, thus maintaining low update time overhead.
Solution Approach 2:
The patent implements dynamics by making the policy update mechanism conditional and event-driven rather than static and periodic. Policies are dynamically updated only when physical state information indicates a change that warrants policy adjustment, improving adaptability while minimizing the time loss associated with frequent unnecessary updates.
Data Source
AI summary
A policy processing method is performed by a first network element, and includes: determining a policy related to user equipment (UE) according to physical state information of the UE.