Dynamic Handoff Threshold Adjustment via User Feedback
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Solution Overview
Problem
Current handoff mechanisms in hybrid mobile devices for dual network communication lack user feedback integration, leading to suboptimal call quality and network performance due to default settings that do not account for individual user preferences and varying network conditions.
Innovation Solution
Implementing a system that utilizes user feedback to establish a personalized handoff profile based on communication link parameters such as signal strength, jitter, latency, and packet loss, allowing for intelligent decision-making on when to switch between IP-based VoIP networks and cellular networks to maintain call quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manufacturer or carrier default settings are used for handoff determination, then device complexity is reduced and ease of operation is improved, but call quality and network performance deteriorate due to inability to account for individual user preferences and varying network conditions
Solution Approach 1:
The system implements feedback mechanisms where user responses about call quality are collected and used to adjust handoff thresholds. The processor receives user feedback regarding perceived call quality and uses this information to dynamically modify the handoff determination criteria, creating a closed-loop system that continuously improves call quality based on actual user experience rather than static default settings
Solution Approach 2:
The handoff threshold is transformed from a static default value to a dynamic parameter that adapts based on user feedback and network conditions. The system continuously adjusts the handoff determination criteria to reflect current user preferences and environmental factors, enabling the device to optimize call quality adaptively rather than relying on fixed manufacturer or carrier settings
2Reliability
If handoff threshold is lowered to maintain call quality, then call quality is improved, but network burden increases due to more frequent handoffs between networks
Solution Approach 1:
The system modifies the handoff threshold parameter dynamically based on user feedback and network conditions rather than using a fixed low threshold. By adjusting this critical parameter adaptively, the system maintains call quality when necessary while avoiding unnecessary handoffs that would increase network burden, achieving an optimal balance between call quality and network efficiency
3Measurement precision
If handoff determination is based solely on objective network parameters, then measurement precision is improved, but adaptability deteriorates due to inability to account for subjective user quality expectations
Solution Approach 1:
The system merges objective network parameter measurements with subjective user quality assessments to form a comprehensive handoff determination basis. By combining these two previously separate evaluation dimensions, the system achieves both measurement precision through objective data and adaptability through user feedback, creating a hybrid decision-making framework that leverages the strengths of both approaches
Data Source
AI summary
Examples are disclosed for user feedback 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 test voice call mediated with a call server, 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 communication link parameters are correlated with a call quality threshold based on the user feedback and a handoff profile is established for the hybrid mobile device based on the call quality thresholds, the handoff profile operative to establish criteria for switching the VoIP communication link to a communication link over a different network.