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Spectrum Assignment in Cognitive Radio Networks Using Fuzzy Logic Empowered Ants | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 2، دوره 10، شماره 6، اسفند 2013، صفحه 1-19 اصل مقاله (2.31 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2013.1309 | ||
| نویسندگان | ||
| Farokh Koroupi1؛ Hojjat Salehinejad* 2؛ Siamak Talebi3 | ||
| 1Department of Computer Engineering, Sirjan Branch, Islamic Azad University, Sirjan, Iran | ||
| 2Department of Electrical Engineering, Shahid Bahonar Uni- versity of Kerman, Kerman, Iran | ||
| 3Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Ant colony system؛ Cognitive radio networks؛ Graph coloring problem؛ Fuzzy logic؛ Smart grids؛ Spectrum assignment | ||
| مراجع | ||
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