Performance analysis of energy detection over hyper-Rayleigh fading channels
dc.contributor.author | Chatziantoniou, Eleftherios | en |
dc.contributor.author | Allen, Ben | en |
dc.contributor.author | Velisavljević, Vladan | en |
dc.date.accessioned | 2015-06-18T11:32:58Z | en |
dc.date.available | 2015-06-18T11:32:58Z | en |
dc.date.issued | 2015-01-01 | en |
dc.identifier.citation | Chatziantoniou, E., Allen, B., Velisavljevic, V. (2015) 'Performance analysis of energy detection over hyper-Rayleigh fading channels' The Journal of Engineering | en |
dc.identifier.issn | 2051-3305 | en |
dc.identifier.doi | 10.1049/joe.2014.0271 | en |
dc.identifier.uri | http://hdl.handle.net/10547/558242 | en |
dc.description.abstract | This study investigates the performance of energy detection (ED)-based spectrum sensing over two-wave with diffused power (TWDP) fading channels, which have been found to provide accurate characterisation for a variety of fading conditions. A closed-form expression for the average detection probability of ED-based spectrum sensing over TWDP fading channels is derived. This expression is then used to describe the behaviour of ED-based spectrum sensing for a variety of channels that include Rayleigh, Rician and hyper-Rayleigh fading models. Such fading scenarios present a reliable behavioural model of machine-to-machine wireless nodes operating in confined structures such as in-vehicular environments. | |
dc.language.iso | en | en |
dc.publisher | IET | en |
dc.relation.url | http://digital-library.theiet.org/content/journals/10.1049/joe.2014.0271 | en |
dc.rights | Archived with thanks to The Journal of Engineering | en |
dc.subject | signal detection | en |
dc.subject | Rayleigh channels | en |
dc.subject | Rician channels | en |
dc.subject | average detection probability | en |
dc.subject | two-wave with diffused power fading channels | en |
dc.subject | Rician channel | en |
dc.subject | hyperRayleigh fading channels | en |
dc.subject | spectrum sensing | en |
dc.subject | energy detection | en |
dc.subject | hyperRayleigh fading model | en |
dc.title | Performance analysis of energy detection over hyper-Rayleigh fading channels | en |
dc.type | Article | en |
dc.contributor.department | University of Bedfordshire | en |
dc.identifier.journal | The Journal of Engineering | en |
dc.description.note | This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/) | en |
html.description.abstract | This study investigates the performance of energy detection (ED)-based spectrum sensing over two-wave with diffused power (TWDP) fading channels, which have been found to provide accurate characterisation for a variety of fading conditions. A closed-form expression for the average detection probability of ED-based spectrum sensing over TWDP fading channels is derived. This expression is then used to describe the behaviour of ED-based spectrum sensing for a variety of channels that include Rayleigh, Rician and hyper-Rayleigh fading models. Such fading scenarios present a reliable behavioural model of machine-to-machine wireless nodes operating in confined structures such as in-vehicular environments. |
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