User Network Switching Based on Traffic-Aware Handover Timing
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Solution Overview
Problem
User devices experience degraded user experience and power drain when switching between networks due to congestion, errors, and gaps in data reception, as they are unable to determine optimal times for network transitions.
Innovation Solution
User devices monitor traffic patterns and network conditions to determine opportune moments for switching between networks using handover criteria, ensuring minimal impact on user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user device switches between networks to maintain connectivity, then network availability is improved, but user experience degrades due to congestion, errors, and gaps in data reception
Solution Approach 1:
The device performs preliminary monitoring of network conditions (congestion, error rates, traffic patterns) before initiating a network switch. By assessing network status in advance and predicting future conditions based on historical data, the device can proactively select optimal switching times that prevent user experience degradation while maintaining connectivity.
2Object-affected harmful factors
If the user device monitors network conditions and switches between networks, then user experience is maintained, but power consumption increases
Solution Approach 1:
Instead of continuous monitoring, the device implements periodic network condition assessments at strategically determined intervals. The monitoring frequency is dynamically adjusted based on current network stability, traffic patterns, and device state, allowing the system to maintain user experience quality while significantly reducing unnecessary power consumption from constant scanning.
Solution Approach 2:
The device autonomously determines optimal monitoring intervals and switching decisions based on pre-configured criteria and historical performance data, without requiring continuous user input or manual intervention. This self-service approach optimizes the balance between user experience maintenance and power conservation automatically.
3Measurement precision
If the user device performs frequent network scanning to find optimal networks, then network selection quality is improved, but data reception is interrupted
Solution Approach 1:
The device performs preliminary network assessments and identifies optimal switching opportunities before initiating actual network transitions. By predicting future network conditions based on current traffic patterns and historical data, the system can schedule scans during naturally occurring data reception gaps, ensuring high-quality network selection without interrupting ongoing data transfers.
4Productivity
If the user device implements comprehensive network monitoring and switching logic, then network transition optimization is improved, but device complexity increases
Solution Approach 1:
The complex network switching system is divided into independent, modular components: network condition monitoring module, traffic pattern analysis module, switching decision module, and execution module. Each component handles a specific aspect of the switching process with well-defined interfaces, making the overall system more manageable, maintainable, and easier to optimize individually while maintaining comprehensive functionality.
Data Source
AI summary
A user device (e.g., a mobile phone, user equipment (UE), a dual subscriber identity module (SIM) dual standby (DSDS) device, a multi-SIM multi-standby device (MSMS) device, a mobile device, a smart device, laptop, tablet, computing device, etc.) may dynamically determine configurations for preferred and/or offload networks and optimally switch connections between service provider networks.