Dynamic Throughput-Sensing Mesh Nodes for Weak Wi-Fi Coverage
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Solution Overview
Problem
The throughput of Wi-Fi connections in areas with varying physical environments is affected by local obstacles, leading to inconsistent coverage and potential loss of internet connection, especially when using higher frequency bands like Wi-Fi 7, which are more susceptible to interference from objects.
Innovation Solution
Implementing a mesh node that dynamically adjusts its position based on throughput sensing, using channel state information and image data to identify interfering objects, and alerts users when throughput falls below a threshold, allowing for enhanced Wi-Fi connection through rebroadcasting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If higher frequency bands are used for Wi-Fi communication, then communication speed is improved, but coverage range is reduced and susceptibility to interference increases
Solution Approach 1:
The patent introduces mesh nodes as intermediary devices that receive signals from the access point and rebroadcast them to client devices. This mediator approach allows high-frequency signals to achieve extended coverage by hopping through intermediate nodes, resolving the contradiction between using high-frequency bands for speed while maintaining coverage range through relay transmission.
Solution Approach 2:
The patent divides the wireless network into multiple segments or hops through the introduction of mesh nodes. Instead of a single direct connection between access point and client devices, the network is segmented into multiple transmission segments, each operating at high frequency for speed while the collective path maintains coverage through intermediate relay points.
2Reliability
If mesh nodes are deployed to extend coverage, then coverage range is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where mesh nodes automatically perform throughput sensing, environmental scanning, and dynamic positioning without manual intervention. The system autonomously monitors channel state information, detects interfering objects using image sensors, and adjusts node positions to maintain optimal coverage, reducing the operational complexity despite adding more devices to the network.
Solution Approach 2:
The patent dynamically changes operational parameters such as node positioning, transmission power, and frequency selection based on real-time throughput sensing and environmental conditions. This adaptive parameter adjustment allows the network to maintain optimal performance automatically, reducing the need for complex manual configuration and management of mesh nodes.
3Productivity
If dynamic throughput sensing is implemented, then network performance is improved, but use of energy increases
Solution Approach 1:
The patent implements periodic throughput sensing and environmental scanning rather than continuous monitoring. Mesh nodes perform sensing operations at intervals, adjusting their activity based on detected changes in the environment or throughput degradation, which maintains network performance while significantly reducing energy consumption compared to continuous monitoring.
Data Source
AI summary
The present disclosure is directed to a mesh node to enhance a Wi-Fi connection throughput in an area with a weak coverage of an access point (AP). The mesh node provides an intermediate communication node that is moving to locations of the area which needs an improvement of the Wi-Fi connection throughput. A docking station is fixed in each location with a weak Wi-Fi connection throughput to provide a long-term energy source for the mesh node. Each docking station includes a power source to be coupled to the mesh node. The mesh node includes a transit power supply which provides a sufficient electrical energy during movements of the mesh node from a first location to a second location. Thus, the mesh node is capable of maintaining the Wi-Fi connection even during the movements between some locations.