Dynamic APN Selection on Communication Devices for Network Switching
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Solution Overview
Problem
Current mobile phone systems limit user flexibility in switching carrier networks and fail to optimize APN settings based on geographic location, network conditions, end-point destinations, IP addressing, or customer-specific business rules, leading to complex management and suboptimal user experiences.
Innovation Solution
Implementing a communication device with the capability to dynamically select the best available APN/DNN based on parameters such as geographic location, network conditions, network slicing, and user preferences, allowing for dynamic network selection and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single default APN is configured in mobile phones, then the device complexity is reduced and ease of operation is improved, but the adaptability to switch between carrier networks is limited
Solution Approach 1:
The patent implements dynamic APN selection where the system automatically switches between multiple configured APNs based on real-time network conditions, geographic location, and user preferences. This transforms the static single-APN configuration into a dynamic multi-APN selection mechanism that adapts to changing operational requirements without increasing user complexity.
Solution Approach 2:
The system performs self-service by automatically selecting and switching between APNs without requiring manual user intervention. The patent employs automated decision-making algorithms that monitor network conditions and select optimal APNs, eliminating the need for users to manually configure or switch between multiple networks while maintaining high adaptability.
2Adaptability or versatility
If multiple APN settings are configured for different carrier networks, then the adaptability to switch networks is improved, but the device complexity and management complexity increase
Solution Approach 1:
The system automatically manages multiple APN configurations through self-service mechanisms. The patent implements automated monitoring of network conditions, automatic selection of optimal APNs based on predefined criteria, and seamless switching between APNs without requiring user intervention or manual management of complex network settings.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors network performance, signal strength, and operational status to dynamically adjust APN selection. This feedback loop enables the system to learn from real-time conditions and automatically optimize network connectivity, reducing the operational complexity of managing multiple APN settings.
3Ease of operation
If manual user-driven selection of APN is used, then the ease of operation is improved, but the productivity and network optimization capability are reduced
Solution Approach 1:
The system performs self-service by automatically selecting and optimizing network connections without requiring manual user input. The patent implements automated APN selection algorithms that continuously evaluate network conditions and select optimal connections, dramatically improving productivity and network optimization capability while maintaining ease of operation through completely automated decision-making.
Solution Approach 2:
The patent employs feedback-driven automation where the system monitors network performance metrics and uses this information to automatically optimize APN selection. The feedback mechanism enables real-time adjustment of network connections based on actual performance data, significantly enhancing productivity while requiring no manual intervention from users.
4Reliability
If APN selection is not based on geographic location and network conditions, then the device complexity is reduced, but the reliability of network connection and service quality deteriorate
Solution Approach 1:
The patent implements feedback-based reliability optimization by continuously monitoring network conditions, signal strength, and connection quality. The system uses this feedback to dynamically adjust APN selection, ensuring reliable network connections adapted to real-time geographic location and network conditions. This feedback mechanism improves reliability while managing complexity through automated decision-making.
Solution Approach 2:
The system dynamically adapts APN selection based on real-time geographic location and network conditions rather than using static configurations. The patent implements dynamic decision-making algorithms that continuously evaluate environmental factors and adjust network connections accordingly, significantly improving reliability while containing complexity through automated adaptive behavior.
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.