Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/14244
Title: Unified modeling of composite κ -μ/gamma, η -μ/gamma, and α -μ/gamma fading channels using a mixture gamma distribution with applications to energy detection
Authors: Al-Hmood, H
Al-Raweshidy, HS
Keywords: mixture gamma distribution;gamma distribution;energy detection
Issue Date: 27-Apr-2016
Publisher: IEEE
Citation: Al-Hmood, H. and Al-Raweshidy, H.S. (2017) 'Unified Modeling of Composite $\kappa -\mu$ /Gamma, $\eta -\mu$/Gamma, and $\alpha -\mu$/Gamma Fading Channels Using a Mixture Gamma Distribution With Applications to Energy Detection,' IEEE Antennas and Wireless Propagation Letters, 16, pp. 104-108. doi: 10.1109/LAWP.2016.2558455.
Abstract: In this letter, the performance of an energy detection (ED) is analyzed over different composite generalized multipath/gamma fading channels, namely, κ -μ/gamma, η -μ/gamma, and α -μ/gamma. The mixture gamma distribution is employed to approximate with high accuracy the signal-to-noise ratio for all these channels. General, mathematically tractable, and unified analytic expressions for the performance metrics of ED, i.e., the average detection probability and the average area under the receiver operating characteristics curve, are derived. The validation of our analysis is verified by comparing the analytical results to the simulation results.
URI: https://bura.brunel.ac.uk/handle/2438/14244
DOI: https://doi.org/10.1109/LAWP.2016.2558455
ISSN: 1536-1225
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf© 2016 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.288.14 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.