Work

Spectrum Hole Geolocation for Database-Driven IoT-Enabled Dynamic Spectrum Access

Year: 2025

Type: article

Abstract: The effective realization of dynamic spectrum access (DSA) subsumes that, when a secondary terminal seeks for a vacant band, the geolocation of the candidate spectrum hole coincides with the position of the terminal. Otherwise, stemming from a spectrum hole detection not corresponding to the terminal location, harmful interference to the primary network may occur. Non-cooperative spectrum sensing can inherently deliver accurate spectrum hole geolocation, as it corresponds to the position of the spectrum sensor. However, performance is penalized due to propagation-induced phenomena in the environment. While the performance of cooperative spectrum sensing is less prone to such phenomena, the accurate geolocation of the spectrum hole is compromised. This is because a vacant band is determined by a collective of spectrum sensors whose dispersed spatial distribution prevents from achieving high resolution concerning where in space the band is in fact vacant. This article delves into the problem of spectrum hole geolocation for DSA. As a solution, it is introduced a cooperative spectrum sensing scheme based on overlapped-clustering, integrated with a database-driven IoT-enabled DSA framework. It is shown that the proposed solution achieves a high rate of correct estimations of spectrum hole geolocation, with small variance and under diverse system conditions.

Source: IEEE Access

DOI: 10.1109/access.2025.3560213

Author: Dayan Adionel Guimarães

Institution: National Institute of Telecommunications

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,075