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Detection of the licensed user (LU) is one of the major tasks of the cognitive radios (CRs). In this paper, a double-stage sensing detectors technique has been proposed to detect LU at very low SNR without interference. The proposed model is divided into two phases, the first phase carry energy detector with a single adaptive threshold (ED-SAT) and the second phase has ED with two adaptive thresholds (ED-TAT). The authors used MATLAB software for the simulation environment, graphical results confirm that the introduced double-stage sensing scheme improves detection performance.
Ashish Bagwari; Jyotshana Kanti; Geetam Singh Tomar. Double-Stage Sensing Detectors for Cognitive Radio Networks. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences 2019, 1277 -1284.
AMA StyleAshish Bagwari, Jyotshana Kanti, Geetam Singh Tomar. Double-Stage Sensing Detectors for Cognitive Radio Networks. Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. 2019; ():1277-1284.
Chicago/Turabian StyleAshish Bagwari; Jyotshana Kanti; Geetam Singh Tomar. 2019. "Double-Stage Sensing Detectors for Cognitive Radio Networks." Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences , no. : 1277-1284.
Ashish Bagwari; Jyotshana Kanti; Geetam Singh Tomar; Ashraf Samarah. Reliable spectrum sensing scheme based on dual detector with double-threshold for IEEE 802.22 WRAN. Journal of High Speed Networks 2015, 21, 205 -220.
AMA StyleAshish Bagwari, Jyotshana Kanti, Geetam Singh Tomar, Ashraf Samarah. Reliable spectrum sensing scheme based on dual detector with double-threshold for IEEE 802.22 WRAN. Journal of High Speed Networks. 2015; 21 (3):205-220.
Chicago/Turabian StyleAshish Bagwari; Jyotshana Kanti; Geetam Singh Tomar; Ashraf Samarah. 2015. "Reliable spectrum sensing scheme based on dual detector with double-threshold for IEEE 802.22 WRAN." Journal of High Speed Networks 21, no. 3: 205-220.
In Cognitive radio networks, spectrum sensing is used to sense the unused spectrum in an opportunistic manner. In this paper, multiple antennas based energy detector utilizing adaptive double-threshold for spectrum sensing is proposed, which enhances detection performance and overcomes sensing failure problem as well. The detection threshold is made adaptive to the fluctuation of the received signal power in each local detector of cognitive radio (CR) user. Numerical results show that by using multiple antennas at the CRs, it is possible to significantly improve detection performance at very low signal-to-noise ratio (SNR). Further, the scheme was analyzed in conjunction with cooperative spectrum sensing (CSS), where CRs utilize selection combining of the decision statistics obtained by an adaptive double-threshold energy detector for making a binary decision of the presence or absence of a primary user. The decision of each CR is forwarded over error free orthogonal channels to the fusion centre, which takes the final decision of a spectrum hole. It is further found that CSS with multiple antenna-based energy detector with adaptive double-threshold improves detection performance around 26.8 % as compared to hierarchical with quantization method at −12 dB SNR, under the condition that a small number of sensing nodes are used in spectrum sensing.
A. Bagwari; G. S. Tomar. Cooperative Spectrum Sensing with Multiple Antennas Using Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks. Journal of The Institution of Engineers (India): Series B 2014, 95, 107 -112.
AMA StyleA. Bagwari, G. S. Tomar. Cooperative Spectrum Sensing with Multiple Antennas Using Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks. Journal of The Institution of Engineers (India): Series B. 2014; 95 (2):107-112.
Chicago/Turabian StyleA. Bagwari; G. S. Tomar. 2014. "Cooperative Spectrum Sensing with Multiple Antennas Using Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks." Journal of The Institution of Engineers (India): Series B 95, no. 2: 107-112.
In this paper, we propose multiple antennas-based energy detector utilising adaptive double-threshold for spectrum sensing, which enhances detection performance and overcomes sensing failure problem as well. The detection threshold is made adaptive to the fluctuation of the received signal power in each local detector of cognitive radio (CR) user. Numerical results show that by using multiple antennas at the CRs, it is possible to significantly improve detection performance at very low signal-to-noise ratio (SNR). It is also found that when the number of antennas (Nr) increase, the probability of detection increases. Proposed work having Nr = 3 outperforms Nr = 1, 2 by 30.6 % and 10.5% at –12 dB SNR and probability of false alarm 0.1, respectively.
Ashish Bagwari; Geetam Singh Tomar; Sarita Singh Bhadoria. Multiple antennas-based cognitive radio networks using energy detector with adaptive double-threshold for spectrum sensing. International Journal of Electronics Letters 2014, 2, 83 -91.
AMA StyleAshish Bagwari, Geetam Singh Tomar, Sarita Singh Bhadoria. Multiple antennas-based cognitive radio networks using energy detector with adaptive double-threshold for spectrum sensing. International Journal of Electronics Letters. 2014; 2 (2):83-91.
Chicago/Turabian StyleAshish Bagwari; Geetam Singh Tomar; Sarita Singh Bhadoria. 2014. "Multiple antennas-based cognitive radio networks using energy detector with adaptive double-threshold for spectrum sensing." International Journal of Electronics Letters 2, no. 2: 83-91.
Cognitive Radio (CR) is a regulated technique for opportunistic access of idle resources and it is expected that the golden service of spectrum sensing is to be achieved via the robust sensing technique to sense the unused spectrum in an opportunistic manner. In this paper, we propose multiple energy detectors (MED) utilising adaptive double-threshold (ADT) for spectrum sensing. In the present framework of CR networks, each CR node is equipped with MED and each energy detector with single antenna. Numerical results show that it improves detection performance at very low signal-to-noise ratio (SNR), and overcomes sensing failure problem. Further, the scheme was analysed in conjunction with cooperative spectrum sensing (CSS), where each CR users employ selection combining (SC) scheme to take global decision by MED with adaptive double-threshold (MED_ADT). It is further found that this arrangement improves detection performance around 6.3% as compared to hierarchical with quantisation method at –10 dB SNR, under the case when a small number of sensing nodes are used in spectrum sensing.
Ashish Bagwari; Geetam Singh Tomar. Cooperative spectrum sensing in multiple energy detectors based cognitive radio networks using adaptive double-threshold scheme. International Journal of Electronics 2014, 101, 1546 -1558.
AMA StyleAshish Bagwari, Geetam Singh Tomar. Cooperative spectrum sensing in multiple energy detectors based cognitive radio networks using adaptive double-threshold scheme. International Journal of Electronics. 2014; 101 (11):1546-1558.
Chicago/Turabian StyleAshish Bagwari; Geetam Singh Tomar. 2014. "Cooperative spectrum sensing in multiple energy detectors based cognitive radio networks using adaptive double-threshold scheme." International Journal of Electronics 101, no. 11: 1546-1558.
Spectrum sensing is one of the key functionalities in the implementation of cognitive radio. It is used to sense the unused spectrum in an opportunistic manner. In this paper, we propose an energy detector with adaptive double-threshold for spectrum sensing, to optimize the detection performance at a fixed probability of false alarm \((\text{ P }_\mathrm{f})\) i.e. 0.1, which also overcomes sensing failure problem. In the present work, the detection threshold is made adaptive to the fluctuation of the received signal power in each local detector of cognitive radio (CR) user. Simulation results show that proposed scheme optimizes better detection performance and outperforms both conventional energy detector and cooperative spectrum sensing (CSS) method by 12.8 and 3.3 % at \(-\) 8 dB signal to noise ratio (SNR), respectively. While utilizing CSS with proposed adaptive double-threshold scheme, where each CR user use a double threshold detectors for local detection and send detection decisions to fusion center (FC) to give the final decision based on hard decision rule. It is further found that CSS with adaptive double-threshold improves detection performance around 26.8 and 7.6 % as compare to CSS with single threshold and Hierarchical with quantization method at \(-\) 10 dB SNR, respectively, under the case when a small number of sensing nodes are used in spectrum sensing.
Ashish Bagwari; Geetam Singh Tomar. Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks. Wireless Personal Communications 2013, 73, 1005 -1019.
AMA StyleAshish Bagwari, Geetam Singh Tomar. Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks. Wireless Personal Communications. 2013; 73 (3):1005-1019.
Chicago/Turabian StyleAshish Bagwari; Geetam Singh Tomar. 2013. "Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks." Wireless Personal Communications 73, no. 3: 1005-1019.