UE Data Offloading Thresholds for WLAN Selection
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently offloading traffic from congested licensed spectrum to unlicensed WiFi networks due to lack of suitable criteria for selecting suitable access nodes based on data types, leading to suboptimal offloading decisions.
Innovation Solution
Implementing a method where user equipment receives and stores different thresholds for various data types from the wireless wide area network to evaluate and selectively offload data to suitable access nodes in the wireless local area network, ensuring only suitable nodes are used for offloading specific data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traffic offloading to WLAN is implemented without data-type-specific thresholds, then offloading decision simplicity is maintained, but offloading efficiency and suitability for different data types deteriorate
Solution Approach 1:
The patent segments the offloading decision process by introducing different thresholds for different data types (e.g., real-time data vs. non-real-time data). This allows the system to evaluate access node suitability separately for each data type, improving offloading efficiency while managing complexity through structured classification.
Solution Approach 2:
The patent applies local quality by tailoring threshold criteria to specific data types. Different quality requirements are assigned to different data types (e.g., lower latency thresholds for real-time data), enabling optimized offloading decisions for each data type's specific needs rather than using a uniform approach.
2Reliability
If a single uniform threshold is used for all data types, then evaluation simplicity is maintained, but offloading suitability for specific data types deteriorates
Solution Approach 1:
The patent divides the evaluation process into separate threshold assessments for different data types. This segmentation enables the system to reliably determine suitability for each data type using appropriate criteria, while the overall evaluation remains straightforward through automated threshold comparison.
Solution Approach 2:
The patent changes the threshold parameters based on data type characteristics. Different parameters (e.g., latency thresholds, throughput requirements) are selected and adjusted according to the specific needs of each data type, improving reliability without significantly complicating the evaluation process.
3Productivity
If access node evaluation is performed without data-type differentiation, then evaluation speed is maintained, but offloading optimization deteriorates
Solution Approach 1:
The patent segments the evaluation process by data type, allowing the system to quickly determine suitability for each type using predefined thresholds. This segmentation enables optimized offloading decisions while maintaining evaluation speed through efficient, structured comparison rather than comprehensive analysis.
Solution Approach 2:
The patent applies preliminary action by pre-defining thresholds for different data types before offloading decisions are needed. This allows the system to quickly evaluate access node suitability using ready-to-compare criteria, improving optimization while minimizing evaluation time through avoided real-time calculations.
Data Source
AI summary
For use in offloading traffic to a wireless local area network (WLAN) a user equipment (UE) receives from a wireless wide area network at least a first set of thresholds having different thresholds corresponding to different types of data to be offloaded. The UE utilizes the threshold corresponding to a given type of data to evaluate whether an access node operating in the WLAN is suitable for offloading data of the given type. Only if the evaluated access node is determined to be suitable will the UE use it for offloading, and only for data of the given type. In other non-limiting embodiments the first set of thresholds has different thresholds corresponding to different data-types for different categories (e.g., subscription levels) of the UE; and there may be a second set of thresholds with different thresholds corresponding to different classifications of different WLAN access nodes.