Smart Wi-Fi Antenna Configuration for Coverage and Throughput
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Solution Overview
Problem
Existing technologies struggle to optimize the configuration of smart antennas for Wi-Fi access points to maximize coverage and performance for connected devices.
Innovation Solution
A controller-implemented method for configuring a smart antenna with multiple arrangements, characterizing network performance, rating these arrangements based on parameters like throughput and signal strength, and selecting the optimal configuration to enhance connectivity and coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a smart antenna is deployed at the access point to optimize coverage, then the coverage area and number of connected devices improve, but the complexity of configuring and selecting the optimal arrangement increases
Solution Approach 1:
The system automatically characterizes performance, rates arrangements, and selects optimal configurations without manual intervention. The access point autonomously monitors network performance metrics, evaluates different antenna arrangements, and reconfigures itself to maintain optimal coverage, eliminating the need for manual configuration while maximizing coverage area
Solution Approach 2:
The smart antenna system dynamically adapts its configuration based on real-time network conditions. Multiple arrangements are evaluated and the system transitions between different antenna configurations as devices connect and disconnect, ensuring optimal coverage is maintained as the network environment changes
2Productivity
If multiple arrangements are evaluated to maximize network performance, then the throughput and signal strength improve, but the time and computational resources required for characterization and selection increase
Solution Approach 1:
The system characterizes performance for each arrangement but does not need to exhaustively test every possible configuration in detail. By using performance characterization and rating based on key metrics, the system efficiently identifies optimal arrangements without requiring complete exhaustive analysis of all parameters, reducing evaluation time while maintaining throughput optimization
Solution Approach 2:
The system continuously monitors network performance metrics such as throughput and signal strength for each arrangement, using this feedback to rapidly evaluate and select optimal configurations. Real-time performance data enables quick decision-making about which arrangement to deploy, minimizing the time required to achieve optimal network productivity
Data Source
AI summary
An optimal arrangement for a configurable smart antenna in a wireless (e.g., Wi-Fi) network having zero, one, or more other mesh nodes is determined by characterizing the network performance for each possible arrangement by determining a number of connected devices (e.g., either client devices or mesh nodes) and one or more other performance parameters. If one arrangement has more connected devices than any other, then that arrangement is selected. If two or more arrangements have the same greatest number of connected devices, then one or more other performance parameters are applied either serially or in parallel to select the optimal arrangement. In some implementations, the other performance parameters are sums or averages for all connected devices. In other implementations, the other performance parameters are for only a selected priority device, where the selected arrangement must connect to the priority device.