Implementación de un algoritmo para cambio de canal de frecuencia en redes de radio cognitivas

Abstract

There are multiple investigations on the occupation of the radioelectric spectrum through Cognitive Radio (CR). Decision making is a key aspect in CR to improve QoS indicators. The decision-making process has multiple variables to analyze, MCDM-based algorithms are widely used in this type of problem due to their efficient results and low computational load. The MCDM algorithm implemented is Combinative Distance-based Assessment (CODAS), the metrics obtained in CODAS are compared with Simple Additive Weighting (SAW) and with a RANDOM selection of them, as input information spectral power measurements are used. To establish the performance of the algorithm, five QoS metrics are used: Number Handoffs, Number Failed Handoffs, Average Bandwidth, Average Throughput, Cumulative Average Delay. According to the results obtained, CODAS presented the best result, for the cost metrics with the lowest levels, for the benefit metrics the highest levels were obtained.