Wireless Network Planning Using Simultaneous Wall Attenuation Fitting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional network planning tools lack the ability to accurately determine wall attenuation in a physical space, leading to inefficient placement and configuration of access points in wireless data communication networks, as they do not account for the interaction of signals with multiple walls and do not provide optimized accuracy in attenuation calculations.
Innovation Solution
A network planning tool that uses a computing device to determine wall attenuation by simultaneously fitting predicted signal strengths to measured signal strengths with minimal error, employing optimization algorithms like linear regression to calculate attenuation values for multiple walls and access point transmit powers, considering multiple frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional network planning tools are used to determine wall attenuation, then the process is simple, but the accuracy of attenuation estimates is poor
Solution Approach 1:
The system uses measured signal strengths from the physical space as feedback to iteratively optimize wall attenuation estimates. The optimization algorithm compares predicted signal strengths (based on current attenuation estimates) with actual measurements and adjusts the attenuation values to minimize the error, creating a closed-loop feedback system that continuously improves accuracy.
Solution Approach 2:
The system changes the attenuation parameters of walls iteratively during the optimization process. By adjusting the attenuation values to minimize the difference between predicted and measured signal strengths, the system dynamically optimizes the parameters to achieve better accuracy in wall attenuation estimation.
2Measurement precision
If wall attenuation is determined without simultaneous optimization, then the calculation is faster, but the overall accuracy of attenuation estimates deteriorates
Solution Approach 1:
The system merges the determination of multiple wall attenuation values into a single simultaneous optimization process. Instead of calculating each wall's attenuation separately, the optimization algorithm determines all attenuation values together by minimizing the overall error between predicted and measured signal strengths across the entire physical space, improving overall accuracy.
3Reliability
If access points are placed without accurate wall attenuation data, then the deployment is quicker, but network coverage and bandwidth performance are insufficient
Solution Approach 1:
The system performs preliminary determination of wall attenuation characteristics before finalizing access point placement and configuration. By using the optimization algorithm to estimate wall attenuation values in advance, the system provides accurate attenuation data that guides subsequent network deployment decisions, ensuring reliable coverage without sacrificing deployment speed.
Data Source
AI summary
In one aspect, a method for planning a wireless data communications (WDC) network includes obtaining information describing an arrangement of a plurality of walls of a physical space in which the WDC network is to be deployed, obtaining a plurality of measured signal strengths of one or more access points taken in the physical space, determining an attenuation of each of the plurality of walls based on the plurality of measured signal strengths wherein the attenuation of each of the plurality of walls are simultaneously determined based on the plurality of measured signal strengths, and generating for input to a display, at least one indication of the attenuation of each of the plurality of walls with the arrangement of the plurality of walls.