Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet-of-Things Devices via Cognitive Radio
Date of Award
Doctor of Philosophy (PhD)
Computer Engineering and Sciences
Carlos E. Otero
The number of Internet of Things (IoT) devices is predicated to reach 200 billion by the year 2020. This rapid growth is introducing a new class of low-power short-range wireless devices that require the use of radio spectrum for the exchange of information. To offset this extraneous demand for radio spectrum, the low-power short-range IoT devices need to utilize vacant spectrum through the use of Cognitive Radio (CR). The analysis presented in this dissertation indicates that the FM radio spectrum is underutilized in areas of the continental United States that have a population of 100,000 or less. These locations have vacant FM radio spectrum of at least 13 MHz with sufficient spectrum spacing between adjacent FM radio channels. The spectrum spacing provides the required bandwidth for data transmission and provides enough bandwidth to minimize interference introduced by neighboring predicted and unpredicted FM radio stations and other low-power short range IoT devices. To ensure that low-power short-range IoT devices maintain reliable communications vacant radio spectrum, such as the FM radio spectrum in these areas, will need to be used through CR.
Otermat, Derek Thomas, "Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet-of-Things Devices via Cognitive Radio" (2016). Theses and Dissertations. 801.