Hybrid Device Handoff Profile Using User Feedback
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Solution Overview
Problem
Current handoff techniques in hybrid mobile devices between different telecommunications networks, such as from IP-based VoIP networks to cellular networks, often rely on default settings that do not account for user feedback or varying network conditions, leading to suboptimal call quality and network performance.
Innovation Solution
The implementation of systems and methods that incorporate user feedback and historical data to establish a handoff profile based on communication link parameters, using a call server to manage communication sessions and initiate handoffs between different networks, ensuring seamless transitions and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If default handoff settings are used without user feedback, then device complexity is reduced, but call quality and user experience deteriorate
Solution Approach 1:
The system implements feedback loops where user responses to call quality are collected and used to adjust handoff profile parameters. The call server receives user feedback about call quality and modifies handoff decisions based on this feedback, creating a closed-loop control system that improves call quality while managing complexity through automated learning.
Solution Approach 2:
The system pre-establishes handoff profiles with predetermined parameters and thresholds before actual handoff scenarios occur. These profiles are configured in advance based on historical data and user preferences, allowing the device to make rapid handoff decisions without complex real-time calculations, thus improving reliability while controlling complexity.
2Reliability
If handoff decisions are made based on multiple parameters including user feedback, then call quality is improved, but processing time and network burden increase
Solution Approach 1:
Handoff profiles with decision thresholds and parameter weights are pre-configured before handoff scenarios occur. The system prepares multiple predefined profiles with different parameter combinations, allowing rapid selection based on current conditions without performing complex real-time optimization, thus reducing decision time while maintaining quality.
Solution Approach 2:
The system evaluates only the most critical parameters from the full set of available data when making handoff decisions. Rather than processing all possible network parameters equally, the system focuses on key indicators weighted by their importance in the pre-configured profiles, reducing processing time while maintaining call quality through selective parameter evaluation.
3Reliability
If handoff thresholds are set conservatively to maintain call quality, then call drops are reduced, but network resource utilization decreases
Solution Approach 1:
The handoff threshold parameters are made dynamic rather than static. The system adjusts thresholds in real-time based on current network conditions, user preferences, and historical performance data. When network conditions are good, thresholds are relaxed to allow more aggressive handoff decisions that improve resource utilization. When conditions deteriorate, thresholds become more conservative to maintain call continuity, thus resolving the contradiction between reliability and productivity.
Solution Approach 2:
The system changes handoff decision parameters based on multiple factors including user feedback, network conditions, and call duration. By dynamically adjusting parameters such as signal strength thresholds, handoff timing, and network priority weights, the system optimizes the balance between maintaining call quality and efficient network resource utilization across different operating scenarios.
Data Source
AI summary
Examples are disclosed for acquiring user feedback and implementing logistic regression statistical modeling techniques to enable a handoff profile for a dual-mode hybrid mobile device. In some examples communication link handoff logic may be executed by the processor component to receive user feedback during a voice call mediated by a call server, the voice call between a hybrid mobile device and another communication device, the user feedback pertaining to one or more Voice-over Internet Protocol (VoIP) communication link parameters for the communication link between the hybrid mobile device and the call server. The VoIP communication link parameters are statistically modeled based on the user feedback and a handoff profile is established for the hybrid mobile devices, the handoff profile operative to establish criteria for switching the VoIP communication link to an alternate communication link.