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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Online Access: | http://dx.doi.org/10.1155/2017/7321908 |
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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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