UE Non-Network ATSSS Policy Determination via Local Performance
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Solution Overview
Problem
Current user equipment (UE) lacks the ability to independently determine optimal access traffic steering, switching, and splitting (ATSSS) policies across 3GPP and non-3GPP access networks, limiting user-end experience optimization as these policies are solely network-decided.
Innovation Solution
Incorporating an access performance acquisition circuit and wireless communication circuit in UE to predict or measure access performance, allowing for the determination of non-network-decided ATSSS policies, including a new 'UE Automatic (Best-Policy) mode, enabling UE to select or propose optimal steering, switching, and splitting rules based on predicted or measured performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ATSSS rules are controlled solely from network's point of view, then network control and management are simplified, but user-end experience optimization is limited
Solution Approach 1:
The patent segments the ATSSS policy determination function into two parts: network-decided rules (maintained by network) and UE-autonomous rules (generated by UE based on local performance measurements). This segmentation allows UE to optimize user experience independently while network maintains overall control, resolving the contradiction between ease of operation and device complexity.
Solution Approach 2:
The UE is empowered to autonomously generate and apply ATSSS rules based on its own performance measurements and policies, without requiring continuous network intervention. This self-service capability enables real-time user experience optimization while reducing signaling overhead and network complexity.
2Productivity
If UE autonomously determines ATSSS policies, then user experience optimization is improved, but control signaling overhead increases
Solution Approach 1:
The UE performs performance measurements and generates ATSSS rules in advance based on predicted future performance, rather than waiting for network instructions. This preliminary action enables proactive traffic management, improving productivity while reducing the need for frequent control signaling updates.
Solution Approach 2:
The UE continuously monitors access performance and uses this feedback to dynamically adjust ATSSS rule selection and generation. This closed-loop feedback mechanism enables efficient autonomous decision-making, improving traffic management efficiency while minimizing control signaling overhead through intelligent adaptation.
Data Source
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AI summary
A user equipment, UE, includes an access performance acquisition circuit (101) and a wireless communication circuit (104). The access performance acquisition circuit (101) acquires performance of a 3rd generation partnership project, 3GPP, access and performance of a non-3GPP access. The wireless communication circuit (104) determines a non-network-decided access traffic steering, switching and splitting, ATSSS, policy according to the performance of the 3GPP access and the performance of the non-3GPP access.