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dc.contributor.authorHachemi, Mohammed Hicham
dc.contributor.authorFeham, Mohammed
dc.contributor.authorAdardour, Harroun Errachid
dc.date.accessioned2017-01-27T06:24:10Z
dc.date.available2017-01-27T06:24:10Z
dc.date.issued2016-12cs
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 4, s. 808-820. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/63767
dc.description.abstractMobile communication systems present an actuality subject in academic and industrial research activities due to several phenomena such as interferences, multipath, fading, and shadowing. All this lead to a severe perturbation on handover mechanism which depends on specific reports, essentially, reference signal received power (RSRP) and signal-to-interference and noise ratio(SINR). In this paper, we design a new technique in handover domain; it consists of combining energy detection method used in cognitive radio with least mean square (LMS) process in order to prognosticate the handover impact in a realistic scenario of heterogeneous LTE network. More exactly, technique sense of the word "triggering" will be changed to a probability of detection Pd. The proposed algorithm cycle follows two main steps; Firstly, predict at what time the absence of spectrum (primary user) will occur, using a predicted sensing probability Pˆd (t+p) . Secondly, search others spectrums in this time by calculating Pd(t) for each sensed signal and hand-off secondary user in the best spectrum. The results achieved of the simulation are evaluating, it shows that the proposed method predict the original Pd correctly with minimal errors and select the best spectrum successfully.en
dc.formattextcs
dc.format.extent808-820cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_04_0808_0820.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectAdaptive filtersen
dc.subjectLMS processen
dc.subjectLTE/LTE-Aen
dc.subjectenergy detectionen
dc.subjecthandoveren
dc.subjectspectrum sensing.en
dc.titlePredicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networksen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume25cs
dc.identifier.doi10.13164/re.2016.0808en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported License