Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks. (27th April 2010)

• Record Type: Journal Article
• Authors: Arshad, Kamran; Imran, Muhammad Ali; Moessner, Klaus
• Other Names: Laddomada Massimiliano Academic Editor.
• Is Part Of: International journal of digital multimedia broadcasting. Volume 2010(2010)
• Publication Date: 2010-04-27
• Subjects: Multimedia communications -- Periodicals; Digital audio broadcasting -- Periodicals; Mobile communication systems -- Periodicals; Digital audio broadcasting; Mobile communication systems; Multimedia communications; Periodicals; 621.382
• DOI: 10.1155/2010/424036
• Languages: English
• ISSNs: 1687-7578

Abstract

Abstract : The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations are not reliable and collaboration among users is required. Selection of fusion rule at a common receiver has a direct impact on the overall spectrum sensing performance. In this paper, optimisation of collaborative spectrum sensing in terms of optimum decision fusion is studied for hard and soft decision combining. It is concluded that for optimum fusion, the fusion centre must incorporate signal-to-noise ratio values of cognitive users and the channel conditions. A genetic algorithm-based weighted optimisation strategy is presented for the case of soft decision combining. Numerical results show that the proposed optimised collaborative spectrum sensing schemes give better spectrum sensing performance.