Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
Arshad, K, Imran, MA and Moessener, K (2010) Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks International Journal of Digital Multimedia Broadcasting, 2010, Articl.
Available under License : See the attached licence file.
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.
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research|
|Date :||March 2010|
|Identification Number :||https://doi.org/10.1155/2010/424036|
|Additional Information :||Copyright © 2010 Kamran Arshad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||31 Jan 2012 17:20|
|Last Modified :||07 Jun 2015 01:35|
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