Radio Map Generation Using Mobile Signal Measurements
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Solution Overview
Problem
Current methods for generating radio maps in wireless communication systems require manual calibration, which is time-consuming and prone to degradation due to environmental and network changes, limiting their accuracy and requiring frequent recalibration, especially in areas with restricted access.
Innovation Solution
A method for generating radio maps based on wireless signal measurements from mobile devices without relying on their location information, allowing for continuous updates to reflect environmental and network changes, enabling dynamic adaptation without the need for manual recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration is used to generate radio maps, then initial accuracy is achieved, but frequent recalibration is required due to environmental and network changes
Solution Approach 1:
The system enables automatic radio map updates by having mobile devices continuously provide signal strength measurements. The server automatically processes these measurements and updates the radio map without requiring manual calibration operations, making the system self-maintaining and eliminating the need for frequent manual recalibration
Solution Approach 2:
The system implements a feedback mechanism where mobile devices continuously report signal strength measurements to the server. The server uses this feedback to detect changes in the wireless environment and automatically updates the radio map accordingly, creating a closed-loop system that adapts to environmental changes without manual intervention
2Measurement precision
If RSSI measurements from mobile devices are used, then location accuracy is improved, but location information cannot be used for radio map generation
Solution Approach 1:
The system extracts only the necessary signal strength measurements from mobile device data reports, separating this useful information from the location data. By extracting just the RSSI values and removing location information before generating radio maps, the system utilizes measurement precision while preventing loss of information through selective data extraction
Solution Approach 2:
The server acts as an intermediary that receives complete data reports containing both location and signal strength information, then selectively processes only the signal strength measurements for radio map generation. This intermediary approach allows the system to benefit from accurate measurements while maintaining data security by not utilizing location information in the radio map generation process
Data Source
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AI summary
Systems, devices, methods, and computer-readable mediums for generating a radio map of an area are disclosed. In one aspect, the device, method, and computer-readable medium perform processes that may include receiving in at least one processor first information associated with at least one wireless device at a first location in the area. The processes may include receiving in the at least one processor second information associated with at least one wireless device at a second location in the area and different from the first location. The first location within said area and the second location within the area are unknown to the at least one processor. The processes may also include generating a radio map of the area using the first information and the second information.