Abstract

SALGADO, Camila; MARQUEZ, Hans  and  GOMEZ, Víctor. Smart techniques in the dynamic spectrum alocation for cognitive wireless networks. Tecnura [online]. 2016, vol.20, n.49, pp.135-153. ISSN 0123-921X.  https://doi.org/10.14483/udistrital.jour.tecnura.2016.3.a09.

Objective: The objective of this work is to study the applications of different techniques of artificial intelligence and autonomous learning in the dynamic allocation of spectrum for cognitive wireless networks, especially the distributed ones. Method: The development of this work was done through the study and analysis of some of the most relevant publications in current literature through the search in indexed international journals in ISI and Scopus. Results: the most relevant techniques of artificial intelligence and autonomous learning were determined. Also, the ones with more applicability in the allocation of spectrum for cognitive wireless networks were determined, too. Conclusions: The implementation of a technique, or set of them, depends on the needs in signal processing, compensation in response times, sample availability, storage capacity, learning ability and robustness, among others.

Keywords : machine learning; dynamic spectrum access; artificial intelligent; cognitive radio; wireless networks.

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