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Various Sensing Techniques in Cognitive Radio Networks : A Review
Jyotshana Kanti,Geetam Singh Tomar 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1
Cognitive radio networks (CRN) is IEEE 802.22 standards, also known as 5-G wireless technology. CRN carries primary users (PU) or licensed users and secondary users (CR) or un-licensed users. In this paper, we have presented an overview of CRN, further we discuss CRN functions. There are various sensing techniques which we classify and discuss, and further analyze the issues related to CRN. Finally, we conclude that each sensing technique has its own advantages and dis-advantages.
Two-Phase Detector for Spectrum Sensing in Cognitive Radio Networks
Jyotshana Kanti,Geetam Singh Tomar 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.7
Spectrum sensing is one of the key functions of cognitive radio networks (CRN), which senses licensed band for CR users. This paper introduces a two phase detector, carries a weighted-energy detector (W-ED) and a correlated-generalized likelihood ratio test (C-GLRT). In first phase, we identify the energy and then if required, the C-GLRT makes the final decision in second phase. Performance of the proposed two phase detector is compared with the existing energy detector (ED), generalized likelihood ratio test (GLRT), and adaptive spectrum Sensing (ASS) detectors.
A Robust Detector Using SNR with Adaptive Threshold Scheme in Cognitive Radio Networks
ASHISH BAGWARI,JYOTSHANA KANTI,GEETAM SINGH TOMAR,ASHRAF SAMARA 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5
Spectrum sensing is a key functionalities of Cognitive radio networks (CRN). There are several methods to improve sensing techniques. In this paper, we present a robust detector using signal to noise ratio (SNR) with adaptive threshold (ADT) scheme in Cognitive Radio Networks (CRN). This technique has two detectors, energy detector (ED)&EDwithADT detector, out of these two detectors only one will perform sensing operation at a time. Selection of detector depends on condition between estimated SNR value (Se) and threshold (γ). Numerical results show that proposed ESNR_ADT scheme optimizes detection performance and outperforms the cyclostationary based sensing method and adaptive spectrum sensing (SS) by 30.5 % and 30 % at – 10 dB signal to noise ratio (SNR) respectively. It is also shown that the proposed scheme yields lesser sensing time than cyclostationary detection and adaptive SS scheme in the order of 5.2 ms and 1.0 ms at - 20 dB SNR respectively.
Two Stage Detector Comprising of Weighted-ED and Correlated-GLRT for Cognitive Radio Networks
Ashish Bagwari,Jyotshana Kanti,Geetam Singh Tomar 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6
Cognitive radio network is one of the prime solutions of band width crises problem. To resolve band width crises firstly we have to sense primary user (PU) licensed signal. To sense PU signal there are various sensing techniques which have been proposed by researchers, but each of them are having some limitations. In this paper we present a two stage detector for spectrum sensing (SS) in cognitive radio (CR). It comprises of a weighted-energy detector (W-ED) and a correlated-generalized likelihood ratio test (C-GLRT). The first stage detects the energy and then if required, the C-GLRT makes the final decision in second stage. Performance of the proposed two stage detector is compared with the existing energy detector (ED), generalized likelihood ratio test (GLRT), and adaptive spectrum Sensing (ASS) detectors. The numerical results show that proposed sensing technique has better detection performance and require less sensing time.