Sofotasios, PC, Valkama, M, Tsiftsis, TA et al. (3 more authors) (2014) Analytic solutions to a Marcum Q-function-based integral and application in energy detection of unknown signals over multipath fading channels. In: Proceedings of the 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2014. 9th International Conference on Cognitive Radio Oriented Wireless Networks, 02-04 Jun 2014, Oulu, Finland. IEEE Computer Society , 260 - 265. ISBN 9781631900037
Abstract
This work presents analytic solutions for a useful integral in wireless communications, which involves the Marcum Q-function in combination with an exponential function and arbitrary power terms. The derived expressions have a rather simple algebraic representation which renders them convenient both analytically and computationally. Furthermore, they can be useful in wireless communications and particularly in the context of cognitive radio communications and radar systems, where this integral is often encountered. To this end, we derive novel expressions for the probability of detection in energy detection based spectrum sensing over η - μ fading channels. These expressions are given in closed-form and are subsequently employed in analyzing the effects of generalised multipath fading conditions in cognitive radio systems. As expected, it is shown that the detector is highly dependent upon the severity of fading conditions as even slight variation of the fading parameters affect the corresponding performance significantly.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Dec 2014 12:28 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://dx.doi.org/10.4108/icst.crowncom.2014.25538... |
Status: | Published |
Publisher: | IEEE Computer Society |
Identification Number: | 10.4108/icst.crowncom.2014.255383 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81850 |