Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Spectrum management in cognitive radio ad hoc networks
IEEE Network: The Magazine of Global Internetworking - Special issue title on networking over multi-hop cognitive networks
End-to-end protocols for Cognitive Radio Ad Hoc Networks: An evaluation study
Performance Evaluation
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks
IEEE Transactions on Wireless Communications
Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks
IEEE Transactions on Wireless Communications
Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks
IEEE Transactions on Wireless Communications - Part 2
Error probabilities for Rician fading multichannel reception of binary and -ary signals
IEEE Transactions on Information Theory
Gaussian class multivariate Weibull distributions: theory and applications in fading channels
IEEE Transactions on Information Theory
Rayleigh fading channels in mobile digital communication systems. I. Characterization
IEEE Communications Magazine
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This paper proposes a novel simulation framework designed to assess the performance of wireless cognitive networks in realistic scenarios. The simulation framework is based on the combination of the OMNeT++ discrete event simulator with Matlab functionalities. The popular INET simulation package for OMNeT++ is extended with the introduction of cognitive functionalities and integrated with a more accurate wireless channel model developed in Matlab, which is employed to simulate propagation effects of any radio activity and serves as an input for spectrum sensing algorithms. The utilization of a general purpose network simulator makes it possible to evaluate the algorithm's efficiency from a system-level point of view; moreover, it allows us to take into account many factors which influence network behavior in real scenarios (for example, node mobility), that would usually be neglected in analytical analyses.