研究目的
To analyze the FM radio spectrum across the continental United States to determine which locations provide unallocated FM radio spectrum that can be used for the secondary licensing of low-power short-range Cognitive Internet of Things (CIoT) devices.
研究成果
The research indicates that locations with populations less than 100,000 have significant underutilization of the FM radio spectrum, making them suitable for secondary licensing of low-power short-range CIoT devices. The validated algorithm and subsequent analysis provide a foundation for utilizing vacant FM radio spectrum for CIoT deployments, with potential bitrates of up to 30 Mbps in less populated areas.
研究不足
The F(50,50) contour chart used in the algorithm predicts field strengths occurring at only 50% of the receivers, leading to potential discrepancies in predicted versus measured signal strengths due to terrain, buildings, or other propagation obstacles.
1：Experimental Design and Method Selection:
The study employs a novel six-step algorithm to determine which FM radio stations have protected coverage at a particular location. The algorithm adheres to the rules and regulations governed by the Federal Communications Commission (FCC).
2：Sample Selection and Data Sources:
The analysis uses a list of 37,589 FM radio stations from the FCC and divides them into state-specific files for analysis.
3：List of Experimental Equipment and Materials:
Measurements were made using the Diamond D-130NJ antenna and the NooElec Realtek Software Defined Radio (RTL-SDR), interfaced with MATLAB/Simulink for spectrum analysis.
4：Experimental Procedures and Operational Workflow:
The algorithm calculates distances from each station to the Coordinate Under Analysis (CUA), removes stations outside protected service contours, and calculates electric field strengths to determine protected coverage.
5：Data Analysis Methods:
The study compares predicted FM radio stations with measured values at five locations to validate the algorithm.
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