Voting rule optimisation for double threshold energy detector-based cognitive radio networks
View Researcher's Other CodesDisclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).
Please contact us in case of a broken link from here
Authors | Colin C. Murphy, Donagh Horgan |
Journal/Conference Name | 2010 4th International Conference on Signal Processing and Communication Systems |
Paper Category | Electrical and Computer Engineering |
Paper Abstract | The method by which individual decisions are combined in cooperative cognitive radio networks is crucial to minimising the overall probabilities of false alarm and missed detection. In this paper, general expressions for these probabilities are derived for a double threshold energy detector-based network, and an analytical solution for the optimal value of voting rule is found so that the overall probability of error is minimised. Simulation results show that there are significant advantages to the use of double threshold energy detector-based networks as opposed to their single threshold-based counterparts; additional simulations verify that the analytical solution is optimal. |
Date of publication | 2010 |
Code Programming Language | Objective-C |
Comment |