Intelligent Network Switching for Latency-Aware WiFi Offloading
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Solution Overview
Problem
Existing network connectivity solutions fail to dynamically optimize between cellular and WiFi networks based on real-time performance parameters, leading to suboptimal user experiences, especially for latency-sensitive and data-intensive services like metaverse applications.
Innovation Solution
Implementing an intelligent traffic switch that probes and compares end-to-end latency, throughput, and motion information of both cellular and WiFi connections to make data-driven decisions for seamless switching, ensuring high throughput and bounded latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static network configuration is used, then device complexity is reduced, but network performance and user experience deteriorate due to inability to adapt to changing network conditions
Solution Approach 1:
The patent implements dynamic network switching by continuously monitoring network parameters (latency, throughput, packet loss) and automatically transitioning between cellular and WiFi networks based on real-time conditions. The switch controller dynamically adjusts network selection rather than using a static configuration, allowing the system to adapt to changing network environments while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system employs feedback mechanisms by continuously measuring network performance parameters and using this information to make intelligent switching decisions. The switch controller receives feedback about network conditions from multiple sources, processes this information, and adjusts network selection accordingly, creating a closed-loop control system that improves network adaptability without requiring complex manual configuration.
2Productivity
If network switching is implemented, then user experience and data offloading efficiency are improved, but system complexity and measurement requirements increase
Solution Approach 1:
The patent performs preliminary measurements of network parameters (latency, throughput, packet loss) before making switching decisions. By proactively gathering and analyzing network condition data in advance, the system can make informed switching decisions that optimize data offloading efficiency without requiring complex real-time analysis during actual network transitions, thereby improving productivity while managing system complexity.
3Measurement precision
If real-time network parameter monitoring is performed, then switching accuracy and user experience are improved, but energy consumption and measurement complexity increase
Solution Approach 1:
The system implements partial monitoring by selectively measuring specific network parameters (latency, throughput, packet loss) rather than continuously monitoring all possible network conditions. This approach achieves sufficient measurement precision for making accurate switching decisions while reducing energy consumption compared to comprehensive continuous monitoring of all network parameters.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, selecting a latency comparison, a throughput comparison, a security comparison, a reliability comparison, movement information or a combination thereof for an end user device executing a communication service according to a service type resulting in a selection criteria, wherein the comparisons are evaluations of each of different available connections; and generating a switching decision by selecting one of the connections. Other embodiments are disclosed.