Adaptive Wireless Call Rescue via Connectivity Monitoring
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Solution Overview
Problem
Voice calls over wireless data networks are prone to disruptions due to poor coverage, weak signal strength, interference, and noise, leading to delayed or dropped calls without user notification, affecting user experience, especially when one user is on a traditional landline or cellular network.
Innovation Solution
A system that monitors connectivity status and alerts users of potential or actual connectivity loss by tracking geographical location and using proximity metrics to predict and warn of disruptions, providing hold music or audio signals during reconnection attempts, and integrating with traditional telephony systems to maintain call continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice calls are established over wireless data networks, then users can communicate flexibly and conveniently, but connection disruptions occur due to poor coverage, weak signal strength, interference, and noise
Solution Approach 1:
The system performs preliminary actions by monitoring connectivity status and generating connectivity-loss warning indicators before actual connection loss occurs. This allows users to be alerted in advance of impending disruptions, enabling them to take preventive actions such as ending the call or moving to a better location before the call is dropped.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring connectivity status and providing real-time notifications to users about call health. The connectivity status monitor continuously assesses the wireless link quality and provides feedback through warning indicators and disruption indicators, allowing users to respond to changing conditions.
2Device complexity
If users are not notified of call disruptions, then the system remains simple, but users experience lost information and annoyance
Solution Approach 1:
The system provides feedback to users through multiple notification mechanisms including connectivity-loss warning indicators, call disruption indicators, and audible alerts. These feedback mechanisms inform users of call status changes and disruptions, preventing information loss by alerting users so they can take appropriate actions.
Solution Approach 2:
The system introduces intermediary components including a connectivity status monitor, a connectivity-loss model, and various indicator generators that mediate between the physical wireless connection and the user. These intermediaries translate technical connectivity parameters into user-friendly notifications without significantly increasing perceived system complexity.
3Reliability
If connectivity loss warnings are provided based on geographical location, then users can be alerted proactively, but the system requires collecting and processing location data
Solution Approach 1:
The system collects geographical location information and generates connectivity-loss warning indicators based on predicted connectivity issues at upcoming locations. This preliminary action allows the system to alert users before they enter areas with poor coverage, enabling proactive call management.
Solution Approach 2:
The system leverages the mobile device's existing GPS and location capabilities to automatically track and report geographical position without requiring additional specialized hardware. The connectivity status monitor and connectivity-loss model use this self-generated location data to provide warnings, reducing the burden of additional system components.
Data Source
AI summary
Systems and methods can support establishing a voice call over a wireless computer network between a mobile computing device and a second device, where the second device may be either another mobile device or a gateway for communicating to a traditional landline or mobile telephone. The connectivity status of the mobile computing device may be monitored. Call disruption indicators may be provided to the users in response to connectivity loss between the mobile computing device and the wireless computer network. Geographical location information associated with the mobile computing device may be collected in response to connectivity loss and a connectivity loss model may be generated. A connectivity-loss warning indicator may be provided to the users based upon a proximity metric of the geographical location associated with the mobile computing device and the connectivity loss model.