Hybrid cooperative spectrum sensing with cyclostationary detection for cognitive radio networks

Yadav, Kuldeep; Roy, Sanjay Dhar; Kundu, Sumit

doi:10.1109/indicon.2016.7839118

Cited by 10 publications

(39 citation statements)

References 12 publications

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“…The SU checks the range allocated to the PU and when it detects the absence of PU transmission, it starts the data transmission to its receiver. The received samples at the CU receiver are [4,12]:…”

Section: Energy Detector Techniquementioning

confidence: 99%

“…The cyclostationary detector can differentiate the PU signal from the noise since it exploits the periodicity property of a signal in its process. It can work in a low SNR condition [4] but it has a high computational complexity since it requires a long sensing time [5]. In order to improve the detection performance under fading and shadowing environments, cooperative spectrum sensing CSS is utilized.…”

Section: Introductionmentioning

confidence: 99%

“…In this stage, various types of coding algorithms can be used to guarantee the successful arrival of decisions. Finally, when these local decisions arrive to the FC, global decision about the status of the PU is taken [4,6,7].…”

Section: Introductionmentioning

confidence: 99%

“…The equations of computational complexity of the proposed method are derived. The simulation results using MATLAB are obtained in AWGN and multipath fading channels in both cooperative and non-cooperative scenarios and the performance of the proposed methods are evaluated through comparing with the hybrid method in ref [4], traditional method of cyclostationary detector, and with the traditional method of an energy detector.…”

Section: Introductionmentioning

confidence: 99%

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Complexity Reduction of Cyclostationary Sensing Technique Using Improved Hybrid Sensing Method

et al. 2020

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In cognitive radio system, the spectrum sensing has a major challenge in needing a sensing method, which has a high detection capability with reduced complexity. In this paper, a low-cost hybrid spectrum sensing method with an optimized detection performance based on energy and cyclostationary detectors is proposed. The method is designed such that at high signal-to-noise ratio SNR values, energy detector is used alone to perform the detection. At low SNR values, cyclostationary detector with reduced complexity may be employed to support the accurate detection. The complexity reduction is done in two ways: through reducing the number of sensing samples used in the autocorrelation process in the time domain and through using the Sliding Discrete Fourier Transform (SDFT) instead of the Fast Fourier Transform (FFT). To evaluate the performance, two versions of the proposed hybrid method are implemented, one with the FFT and the other with the SDFT. The proposed method is simulated for cooperative and non-cooperative scenarios and investigated under a multipath fading channel. Obtained results are evaluated by comparing them with other methods including: cyclostationary feature detection (CFD), energy detector and traditional hybrid. The simulation results show that the proposed method with the FFT and the SDFT successfully reduced the complexity by 20% and 40% respectively, when 60 sensing samples are used with an acceptable degradation in the detection performance. For instance, when Eb/N0 is 0 dB , the probability of the detection of Pd is decreased by 20 % and 10% by the proposed method with the FFT and the SDFT respectively, as compared with the hybrid method existing in the literature.

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Section: Energy Detector Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Complexity Reduction of Cyclostationary Sensing Technique Using Improved Hybrid Sensing Method

et al. 2020

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“…This is achieved by minimizing uncertainty in a single CR user detection through cooperation. 90,91 Generally, there is a trade-off between sensing time (when wideband spectrum sensing is deployed) and sensing accuracy (when narrowband spectrum sensing is used). However, CSS reduces spectrum sensing time and improves spectrum sensing accuracy.…”

Section: Cooperative Detectionmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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Integral and crucial to performance of wireless sensor networks (WSNs), and specifically industrial wireless sensor network (IWSN) is stable, robust, reliable, and ubiquitous communications system. Though, wired communications system is suitable for industrial communications and is resilient to shadowing and multipath fading effects of industrial‐WSN environments, yet its wireless counterpart is a much preferred industrial communications technology due to reduced cost and high flexibility which it offers in comparison to wired communications. However, overcrowding of the industrial, scientific, and medical band, where IWSN is deployed together with other heterogeneous technologies, as well as resultant scarcity of usable frequency spectrum has restrained exclusive application of wireless technology for industrial communications. Nonetheless, cognitive radio (CR) has ability to increase spectrum utilization efficiency and channel capacity for industrial wireless communications (IWC) through opportunistic/dynamic spectrum access (DSA) technique. In this review article, we examine how DSA can benefit IWC through exploitation of new perspectives of white space definitions in the licensed bands as well as unlicensed bands. While discussing the potential of DSA for IWC, we have considered the unique characteristics of IWC as well as technical challenges and issues imposed by industrial‐WSN. Accordingly, we have suggested and proffered appropriate CR‐based solutions in mitigating some of the challenges where necessary.

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Spectrum Sensing Mechanisms in Cognitive Radio Based LTE Femtocells

Rehman

Safdar

2018

LTE Communications and Networks

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Hybrid cooperative spectrum sensing with cyclostationary detection for cognitive radio networks

Cited by 10 publications

References 12 publications

Complexity Reduction of Cyclostationary Sensing Technique Using Improved Hybrid Sensing Method

Complexity Reduction of Cyclostationary Sensing Technique Using Improved Hybrid Sensing Method

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Spectrum Sensing Mechanisms in Cognitive Radio Based LTE Femtocells

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