Dynamic APN Network Selection for Location-Aware Mobile Data
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Solution Overview
Problem
Current mobile phone systems limit user flexibility in switching between carrier networks and fail to optimize APN settings based on geographic location, network conditions, and user-specific rules, leading to complex management and suboptimal service experiences.
Innovation Solution
Implement a communication device that dynamically selects the best available APN/DNN based on parameters such as geographic location, network conditions, and user-defined preferences, allowing for dynamic network selection and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single default APN is manually configured, then the device can maintain a stable network connection, but the user cannot switch between carrier networks and the system cannot adapt to different geographic locations or network conditions
Solution Approach 1:
The patent implements dynamic APN selection by enabling the communication device to automatically switch between multiple APN configurations based on real-time parameters such as geographic location, network conditions, and user preferences. This transforms the static, manually-configured APN system into a dynamic one that adapts to changing environmental and operational conditions, resolving the contradiction between adaptability and complexity by automating the selection process.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor network parameters, geographic location, and connection status to inform APN selection decisions. This feedback loop enables the device to automatically adjust APN configurations based on current conditions, eliminating the need for manual user intervention while providing adaptive network selection across diverse scenarios.
2Ease of operation
If manual user-driven selection of APN is required, then the user has control over network selection, but the administrative overhead increases and user experience deteriorates due to complexity
Solution Approach 1:
The patent implements self-service functionality by enabling the communication device to autonomously select and configure appropriate APN settings without requiring manual user intervention. The system automatically evaluates available networks, assesses connection parameters, and configures the optimal APN configuration, thereby eliminating the time-consuming manual configuration process while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The system performs preliminary actions by pre-configuring multiple APN options and establishing selection criteria before actual network connection is needed. This advance preparation enables rapid, automated APN selection when connection is required, eliminating the need for users to manually configure settings at the moment of need and significantly reducing the time required for network setup.
3Reliability
If APN selection is based on static configuration, then the system is simple to manage, but it cannot optimize network connections based on real-time parameters such as geographic location, network conditions, or user preferences
Solution Approach 1:
The patent transforms static APN configuration into a dynamic selection process that continuously adapts to changing network conditions, geographic location, and user preferences. The system monitors multiple parameters in real-time and automatically selects the most reliable APN configuration based on current conditions, thereby enhancing connection reliability while managing complexity through automated decision-making algorithms.
Solution Approach 2:
The system implements parameter-based APN selection by evaluating multiple variables including geographic location coordinates, network signal strength, latency metrics, user-defined preferences, and service type requirements. These parameter changes enable the system to dynamically adjust APN selection to optimize reliability for different scenarios, from mobile data to IoT applications, without requiring complex manual configuration for each scenario.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, initiating a data request over a mobile network, and identifying a group of parameters associated with the data request. Further embodiments include selecting a first active network associated with a first active access point name (APN) (or data network name (DNN) from a group of networks based on the group of parameters, and the mobile network comprises the group of networks. Additional embodiments include identifying a first access point for the first active network associated with the first active APN/DNN, and establishing a first data communication session associated with the data request to a first group of communication devices communicatively coupled to the first active network via the first access point. Other embodiments are disclosed.