Wireless Network Offloading via Prioritized Lists
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Solution Overview
Problem
Current wireless network management systems face challenges in efficiently offloading traffic from cellular networks to Wi-Fi networks, as they lack the ability to dynamically prioritize and optimize network connections based on real-time data and user preferences, leading to suboptimal performance and increased load on cellular networks.
Innovation Solution
A system that utilizes a wireless network offloading engine to collect and analyze data from wireless devices, generating prioritized network lists based on performance metrics, user preferences, and location data, and provides incentives for subscribers to offload to Wi-Fi networks, thereby optimizing network usage and reducing cellular network load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless devices autonomously select networks based on basic availability, then network selection simplicity is maintained, but network performance optimization deteriorates
Solution Approach 1:
The patent introduces an ANDSF (Access Network Discovery and Selection Function) as an intermediary that provides policy guidance to wireless devices. The ANDSF receives input from multiple sources including operator policies, network conditions, and user preferences, then generates prioritized network lists that devices can follow. This mediator resolves the contradiction by handling the complex optimization logic centrally while keeping device operations simple.
Solution Approach 2:
The system implements feedback mechanisms where network performance metrics, user selections, and connection outcomes are continuously monitored and fed back to the ANDSF. This feedback loop enables dynamic adjustment of prioritized network lists based on actual network conditions and user behavior patterns, improving performance optimization without increasing device complexity.
2Adaptability or versatility
If fine-grained IP flow routing across multiple access systems is implemented, then connectivity granularity is improved, but coordination complexity increases
Solution Approach 1:
The ANDSF acts as a central coordinator that manages fine-grained IP flow routing decisions. Instead of requiring complex device-side coordination logic, the ANDSF receives flow routing requests, evaluates multiple access systems based on current conditions and policies, and returns prioritized routing recommendations. This maintains high connectivity granularity while centralizing coordination complexity.
Solution Approach 2:
The patent segments the network selection and coordination functions into distinct components: the ANDSF handles policy management and coordination, while wireless devices execute simplified selection based on provided prioritized lists. This segmentation allows fine-grained routing control to be implemented without requiring complex coordination logic in end devices.
3Reliability
If dynamic network prioritization based on real-time data is implemented, then network performance is improved, but system complexity increases
Solution Approach 1:
The ANDSF serves as a mediator that consolidates real-time data collection, analysis, and prioritization logic in a centralized location. Network performance monitoring, data analysis, and prioritized list generation are handled by the ANDSF rather than distributed across numerous devices. This approach improves network performance through dynamic prioritization while containing system complexity in the centralized ANDSF component.
Solution Approach 2:
The ANDSF is designed as a multi-functional system that performs network monitoring, data analysis, policy management, and prioritized list generation simultaneously. By consolidating these functions in a single universal component, the system achieves dynamic performance optimization without requiring complex implementations across multiple distributed systems.
4Measurement precision
If user preferences and location data are integrated into network selection, then selection accuracy is improved, but data processing requirements increase
Solution Approach 1:
The ANDSF acts as an intermediary that collects and processes diverse input data including user preferences, location information, and network conditions. Instead of requiring end devices to process and integrate this data, the ANDSF centralizes data processing operations, generating prioritized network lists that reflect accurate selections based on all relevant factors while managing data processing requirements in a centralized location.
Data Source
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AI summary
Wireless offloading provides tools to a service provider to encourage or direct a subscriber to offload from a first network, e.g., a cellular network, to a second network, e.g., a Wi-Fi network. The cellular service provider can use network data to determine wireless offloading priorities for cellular subscribers on an individual or group basis. The cellular service provider may use wireless network data it has and/or wireless network data it learns about networks from the wireless devices (which may obtain Wi-Fi network data from beacon frames of Wi-Fi networks or active scanning and which may report to the cellular service provider). Each wireless device can be given scanning assignments to ensure that the reporting task is shared among subscribers or adjusted to fill in gaps in data. With the network data, the cellular service provider is capable of generating useful prioritized network lists for wireless devices, either individually or as a group. Preferences can be encouraged in the form of incentive offers to subscribers to, e.g., offload from the cellular network to a Wi-Fi network. Incentive offers can include offers to lower service costs or provide additional or improved services.