Autonomous Network Switching for Uplink Capacity and Low-Latency Apps
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Solution Overview
Problem
Existing systems fail to dynamically and autonomously optimize user device connections between wireless networks and fixed access points based on uplink capacity and signal quality, leading to suboptimal service experiences for high-bandwidth and low-latency applications.
Innovation Solution
A system and method that autonomously determine whether a user device should connect directly to a base station or a fixed wireless access point by comparing uplink capacities and signal quality, ensuring optimal network selection without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses static network connection rules, then the system complexity is reduced, but the service optimization capability deteriorates
Solution Approach 1:
The system enables autonomous self-service through automated network discovery, capability matching, and connection switching without user intervention. The system automatically detects available networks, evaluates their capabilities, and makes intelligent connection decisions based on application requirements, thereby achieving service optimization while maintaining operational simplicity for users.
Solution Approach 2:
The system implements dynamic connection management by continuously monitoring network conditions, device capabilities, and application requirements. The connection configuration is not static but adapts in real-time based on changing conditions, allowing the system to optimize service quality dynamically without requiring complex manual configuration.
2Reliability
If the system implements autonomous network switching, then the service experience is optimized, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-discovering available networks and caching their capability information before actual connection needs arise. This advance preparation reduces the processing time required during actual connection decisions, as the system already has network capability data readily available rather than needing to query and analyze from scratch at the moment of connection need.
3Extent of automation
If the system manually configures network connections, then the automation level is reduced, but the control precision over connection selection is improved
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring connection performance, network conditions, and application requirements. This feedback loop enables the autonomous system to learn from actual connection outcomes and refine its selection decisions, thereby achieving high precision in connection selection through automated means rather than manual configuration. The feedback-driven optimization maintains both automation and selection precision.
Data Source
AI summary
Aspects herein provide a system, media, and methods for dynamically switching a user device to a wireless connection as optimized for high uplink and/or downlink volume communications and/or low-latency needs associated with one or more applications, operations, and/or other functionalities, automatically and autonomously. In aspects, a user device is either directly connected to a telecommunications network via a base station and bypasses an in-range local network generated by a fixed wireless access point, or is connected to the local network generated by a fixed wireless access point instead of the telecommunications network. The connection selected and/or switched to is based on device capacity and signal characteristics.