Predictive Communication Compensation via Network Signal Layering
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Solution Overview
Problem
Conventional communication technologies fail to dynamically layer VoIP and cellular networks to enhance signal strength and ensure seamless audio communications, particularly in environments with weak signal strengths and high ambient noise, leading to poor user experience.
Innovation Solution
A method that determines the signal strengths of both VoIP and cellular networks, generates an overall signal by layering them, and uses this combined signal for communication, while also offering voice-to-text conversion to mitigate noise issues, using a system with a primary smart device and secondary devices interconnected via a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If conventional single-network communication is used, then device complexity is low, but signal strength is insufficient in weak signal environments
Solution Approach 1:
The patent combines multiple communication networks (cellular and VoIP) into a unified communication channel by layering their signals. The system monitors signal strengths of both networks and dynamically merges them to maintain call quality, transforming separate network resources into a coordinated multi-network communication system that overcomes individual network limitations
2Reliability
If network layering is implemented to enhance signal strength, then communication reliability improves, but system complexity increases
Solution Approach 1:
The system dynamically adjusts network layering based on real-time signal conditions. It continuously monitors signal strengths of cellular and VoIP networks, and adaptively activates or deactivates network layering modes. This dynamic approach ensures high communication reliability when needed while reducing system complexity when single-network conditions are sufficient
Solution Approach 2:
The system automatically monitors its own signal conditions and makes autonomous decisions about network layering without requiring manual user intervention. The device self-manages the complexity of multi-network coordination by implementing built-in signal strength monitoring and automatic network selection/layering logic
3Reliability
If voice-to-text conversion is used to mitigate noise, then communication quality improves, but processing time increases
Solution Approach 1:
The system replaces the mechanical/physical process of human voice processing with automated voice-to-text conversion technology. By converting spoken words into text representations in real-time, the system enables accurate communication in noisy environments without requiring manual transcription, thus maintaining fast processing speeds while improving communication quality
Data Source
AI summary
A method, a computer program product, and a computer system predictively compensate for expected audio communication issues. The method includes determining conditions of a first device associated with a user. The method includes determining, based on the conditions, a first signal strength to a first network that the first device is currently connected in which to perform a communication and a second signal strength to a second network that the first device is configured to utilize in performing the communication. As a result of each of the first signal strength and the second signal strength not satisfying a minimum threshold individually, the method includes generating an overall signal having an overall signal strength by layering the first network over the second network. The overall signal strength has a comparatively greater signal strength than the first signal strength and the second signal strength. The method includes performing the communication using the overall signal.