Bagheri, A, Sofotasios, PC, Tsiftsis, TA et al. (3 more authors) (2015) Area under ROC curve of energy detection over generalized fading channels. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2015. 26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015, 30 Aug - 02 Sep 2015, Hong Kong, China. IEEE , pp. 656-661. ISBN 9781467367820
Abstract
A fast and reliable detection scheme is essential in several wireless applications such as radar and cognitive radio systems. Energy detection is such a method as it does not require a priori information of the received signal while it exhibits low implementation complexity and costs. Since the detection capability of ED is largely affected by the effects of multipath fading, this paper is devoted to a thorough analysis of energy detection based spectrum sensing over generalized fading conditions. To this end, analytical expressions are firstly derived using the area under the receiver operating characteristic curve (AUC) under additive white Gaussian noise. This analysis is subsequently extended to the case of generalized fading conditions characterized by k - μ and η - μ fading distributions. The offered results are novel and are employed in analyzing the corresponding performance. It is shown that fading phenomena result to detrimental effects on the performance of spectrum sensing since the deviation between severe and non-severe conditions is rather substantial.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2015, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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: | 23 Jun 2016 15:00 |
Last Modified: | 17 Jan 2018 00:22 |
Published Version: | http://doi.org/10.1109/PIMRC.2015.7343380 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/PIMRC.2015.7343380 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101035 |