A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT

A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT

Accessibility to remote users in dynamic environment, high spectrum utilization, and no spectrum purchase make Cognitive Radio (CR) a feasible solution of wireless communications in the Internet of Things (IoT). Reliable spectrum sensing becomes the prerequisite for the establishment of communicatio...

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Main Authors: Enwei Xu, Shuo Shi, Dezhi Li, Xuemai Gu, Fabrice Labeau
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2017/7321908
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spelling doaj-458898c4b2d440f6a8dace59c3eaa9bc2021-07-02T01:41:20ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2017-01-01201710.1155/2017/73219087321908A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoTEnwei Xu0Shuo Shi1Dezhi Li2Xuemai Gu3Fabrice Labeau4School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, ChinaDepartment of Electrical and Computer Engineering, McGill University, Montreal, QC, H3A 0G4, CanadaAccessibility to remote users in dynamic environment, high spectrum utilization, and no spectrum purchase make Cognitive Radio (CR) a feasible solution of wireless communications in the Internet of Things (IoT). Reliable spectrum sensing becomes the prerequisite for the establishment of communication between IoT-capable objects. Considering the application environment, spectrum sensing not only has to cope with man-made impulsive noises but also needs to overcome noise fluctuations. In this paper, we study the Fractional Lower Order Moments (FLOM) based spectrum sensing method under Middleton Class A noise and incorporate a Noise Power Estimation (NPE) module into the sensing system to deal with the issue of noise uncertainty. Moreover, the NPE process does not need noise-only samples. The analytical expressions of the probabilities of detection and the probability of false alarm are derived. The impact on sensing performance of the parameters of the NPE module is also analyzed. The theoretical analysis and simulation results show that our proposed sensing method achieves a satisfactory performance at low SNR.http://dx.doi.org/10.1155/2017/7321908
collection DOAJ
language English
format Article
sources DOAJ
author Enwei Xu
Shuo Shi
Dezhi Li
Xuemai Gu
Fabrice Labeau
spellingShingle Enwei Xu
Shuo Shi
Dezhi Li
Xuemai Gu
Fabrice Labeau
A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT
Mobile Information Systems
author_facet Enwei Xu
Shuo Shi
Dezhi Li
Xuemai Gu
Fabrice Labeau
author_sort Enwei Xu
title A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT
title_short A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT
title_full A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT
title_fullStr A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT
title_full_unstemmed A Robust FLOM Based Spectrum Sensing Scheme under Middleton Class A Noise in IoT
title_sort robust flom based spectrum sensing scheme under middleton class a noise in iot
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2017-01-01
description Accessibility to remote users in dynamic environment, high spectrum utilization, and no spectrum purchase make Cognitive Radio (CR) a feasible solution of wireless communications in the Internet of Things (IoT). Reliable spectrum sensing becomes the prerequisite for the establishment of communication between IoT-capable objects. Considering the application environment, spectrum sensing not only has to cope with man-made impulsive noises but also needs to overcome noise fluctuations. In this paper, we study the Fractional Lower Order Moments (FLOM) based spectrum sensing method under Middleton Class A noise and incorporate a Noise Power Estimation (NPE) module into the sensing system to deal with the issue of noise uncertainty. Moreover, the NPE process does not need noise-only samples. The analytical expressions of the probabilities of detection and the probability of false alarm are derived. The impact on sensing performance of the parameters of the NPE module is also analyzed. The theoretical analysis and simulation results show that our proposed sensing method achieves a satisfactory performance at low SNR.
url http://dx.doi.org/10.1155/2017/7321908
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