Sensors, Volume 21, Issue 12 , 02/06/2021
Spectrum occupancy model based on empirical data for fm radio broadcasting in suburban environments
Abstract
It is well-known that the analog FM radio channels in suburban areas are underutilized. Before reallocating the unused channels for other applications, a regulator must analyze the spectrum occupancy. Many researchers proposed the spectrum occupancy models to find vacant spectrum. However, the existing models do not analyze each channel individually. This paper proposes an approach consisting (i) a spectrum measurement strategy, (ii) an appropriate decision threshold, and (iii) criteria for channel classification, to find the unused channels. The measurement strategy monitors each channel’s activity by capturing the power levels of the passband and the guardband separately. The decision threshold is selected depending on the monitored channel’s activity. The criteria classifies the channels based on the passband’s and guardband’s duty cycles. The results show that the proposed channel classification can identify 42 unused channels. If the power levels of wholebands (existing model) were analyzed instead of passband’s and guardband’s duty cycles, only 24 unoccupied channels were found. Furthermore, we propose the interference criteria, based on relative duty cycles across channels, to classify the abnormally used channels into interference sources and interference sinks, which have 16 and 15 channels, respectively. This information helps the dynamic spectrum sharing avoid or mitigate the interferences.
Document Type
Article
Source Type
Journal
Keywords
Cognitive radioDynamic spectrum accessPublic safety bandSpectrum measurementSpectrum sharing
ASJC Subject Area
Engineering : Electrical and Electronic EngineeringPhysics and Astronomy : Atomic and Molecular Physics, and OpticsChemistry : Analytical ChemistryComputer Science : Information SystemsPhysics and Astronomy : InstrumentationBiochemistry, Genetics and Molecular Biology : Biochemistry
Funding Agency
Chulalongkorn University