Modelo de asignación espectral para el uso eficiente de la banda de televisión digital en la ciudad de Bogotá a través de la radio cognitiva

Abstract

Spectrum scarcity is an emerging issue in wireless communication systems due to the increasing demand of broadband services like mobile communications, wireless internet access, IoT applications, among others. The migration of analog TV to digital systems (a.k.a. digital TV switchover) has led to the release of a significant spectrum share that can be used to support said additional services. Likewise, TVWS (TV white spaces) emerge as spectral opportunities that can also be explored. Cognitive radio (CR) presents itself as a feasible approach to efficiently use resources and exploit gaps within the TV spectrum. The goal of this research, besides showing the state of the art behind the TVWS usage though the CR methodologies, is to present an hybrid model based on the FAHP (Fuzzy Analytical Hierarchical Process) along with the TOPSIS (Technique for Order Preferences by Similarity to Ideal Solution) techniques used to choose a backup channel in the spectrum decision step of the cognitive cycle based on the spectrum availability measured through a measurement campaign on the digital TV bands deployed in Bogotá city. A simulation is carried out with the gained TV bands real occupation spectrum data along with the proposed algorithm. The results demonstrate a good performance in terms of a reduced number of handoff, low cumulative delay, high bandwidth and throughput, in comparison to a simple channel aleatory selection algorithm.