System and Method for Reducing Perceived Latency in Real-Time Communication through Dynamic Delay Adaptation and Template Prediction

Smart overview of the Invention

The invention focuses on reducing perceived latency in real-time communication by dynamically adapting communication delays. It is applicable to audio, video calls, IoT communications, and virtual reality. By collecting anonymized global network data, such as latency, jitter, and packet loss, the system refines templates to predict and adjust delays according to network conditions and device-specific parameters. This ensures smoother communication experiences across platforms like FaceTime, Skype, and Discord, while adhering to privacy standards like GDPR.

Core Functionality

Central to the invention is a template-based system that predicts and adapts to network behavior. Templates are created using historical and real-time data, defining parameters like latency thresholds and jitter tolerances. For example, a high-latency 4G network template might set a latency threshold of 180 milliseconds and an initial artificial delay of 200 milliseconds. These templates are stored in a database and selected dynamically based on the communication session's network conditions.

Operational Phases

The system operates in three phases. During the initialization phase, it collects network metrics to select or generate appropriate templates, applying an initial artificial delay to synchronize communication. In the active session phase, it continuously monitors and adjusts delays to maintain communication quality, responding dynamically to changes like increased jitter. The post-session phase involves aggregating anonymized data to refine templates, enhancing future adaptability and accuracy.

Privacy and Compatibility

Data collection is vital, focusing on metrics such as latency and jitter, with all data anonymized and securely stored to comply with privacy standards like GDPR. The system is versatile, working seamlessly with platforms like FaceTime, Discord, Skype, IoT devices, and traditional telephony. It manages network transitions, synchronizes delays in group calls, and maintains audio-video synchronization, even under fluctuating network conditions.

Advantages

This invention offers significant advantages over static buffering systems by dynamically adapting delays in real time, ensuring seamless communication. Its cross-platform compatibility broadens its applicability, while adherence to privacy standards protects user data. The iterative refinement of predictive templates continuously improves effectiveness, allowing adaptation to evolving network environments and usage patterns, making it a transformative solution for modern communication challenges.