SPECTRUM ASSIGNMENT IN COGNITIVE RADIO NETWORKS USING FUZZY LOGIC EMPOWERED ANTS
Farokh Koroupi, Hojjat Salehinejad, Siamak Talebi · Iranian journal of fuzzy systems · 2013
The prevalent communications networks suer from lack of spec- trum and spectrum ineciency. This has motivated researchers to develop cognitive radio (CR) as a smart and dynamic radio access promised solution. A major challenge to this new technology is how to make fair assignment of available spectrum to unlicensed users, particularly for smart grids communi- cation. This paper introduces an innovative approach to this key challenge in CR networks based on an empowered ant colony system (ACS) using fuzzy logic (FL). In order to evaluate performance of the proposed fuzzy logic-ant colony system spectrum assignment algorithm (FLACS-SAA), authors have particularly studied its performance versus the color sensitive graph coloring (CSGC) approach as well as a variety of bio-inspired based techniques refer- enced in the literature.