Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks

Mobile 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, refe...

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Main Authors: M. H. Hachemi, M. Feham, H. E. Adardour
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2016-12-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2016/16_04_0808_0820.pdf
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author M. H. Hachemi
M. Feham
H. E. Adardour
author_facet M. H. Hachemi
M. Feham
H. E. Adardour
author_sort M. H. Hachemi
collection DOAJ
description Mobile 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.
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spelling doaj.art-e8281adf77044415b6f0ced9349ecc762022-12-21T17:33:42ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122016-12-01254808820Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE NetworksM. H. HachemiM. FehamH. E. AdardourMobile 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.http://www.radioeng.cz/fulltexts/2016/16_04_0808_0820.pdfAdaptive filtersLMS processLTE/LTE-Aenergy detectionhandoverspectrum sensing
spellingShingle M. H. Hachemi
M. Feham
H. E. Adardour
Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
Radioengineering
Adaptive filters
LMS process
LTE/LTE-A
energy detection
handover
spectrum sensing
title Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
title_full Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
title_fullStr Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
title_full_unstemmed Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
title_short Predicting the Probability of Spectrum Sensing with LMS Process in Heterogeneous LTE Networks
title_sort predicting the probability of spectrum sensing with lms process in heterogeneous lte networks
topic Adaptive filters
LMS process
LTE/LTE-A
energy detection
handover
spectrum sensing
url http://www.radioeng.cz/fulltexts/2016/16_04_0808_0820.pdf
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