Uma abordagem para otimização do período de sensoriamento em rádio cognitivo com algoritmo genético multiobjetivo

Abstract

The spectral efficiency in networks based on cognitive radio (CR) technology can be compromised if the radio is used for a long time for the detection instead of data transmission. So it becomes necessary sensing schemes that have the purpose of obtaining the maximum possible use of spectrum, avoiding unnecessary sensing, as well as obtaining a minimum of interference in the transmission of the primary user due to incorrect detection of its transmission. In this paper, we propose the use of genetic algorithms for the adaptation of the sensing period. The goal is to obtain an optimal channels sensing period in order to maximize the discovery of spectrum opportunities and minimize the overhead due to the sensing. Most related works to this issue adopt fixed sensing overhead, not taking into account that some channels may have less tolerance to interference than others. The proposal presented in this work can adapt to the requirements of tolerance to interference with licensed channel by determining a period of sensing that optimizes the opportunities for any set amount of overhead. Our proposal achieves a gain up to 90% compared to nonoptimized techniques in terms of the number of opportunities found up to 40.9% gain in useful transmission and obtained a reduction in the time of interference of 66.83%. In addition, our proposal also achieves similar results to those obtained by an optimized proposal in the literature, with the advantage of allowing the adaptation of the sensing overhead.