Farokh Koroupi - Department of Computer Engineering, Sirjan Branch, Islamic Azad University, Sirjan, Iran
Hojjat Salehinejad - Department of Electrical Engineering, Shahid Bahonar Uni- versity of Kerman, Kerman, Iran
Siamak Talebi - Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

The prevalent communications networks suffer from lack of spectrum and spectrum inefficiency. 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 communication. 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 referenced in the literature.

Ant colony system, Cognitive radio networks, Graph coloring problem, Fuzzy logic, Smart grids, Spectrum assignment