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Journal articles on the topic 'Threshold-based cognitive'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Zhang, Deng Yin, Ai Qin Bao, and Ming Xiang Wang. "Dynamic-Dual-Threshold Cooperative Spectrum Sensing Algorithm Based on D-S Evidence Theory." Applied Mechanics and Materials 519-520 (February 2014): 991–94. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.991.

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To further improve the performance of traditional dual-threshold cooperative spectrum sensing, the article proposed a dynamic-dual-threshold cooperative spectrum sensing algorithm based on D-S evidence theory (DDDS). The article is applied the D-S evidence theory in dual-threshold sensing algorithm and set threshold value depending on the channel gain. If the received signal is outside of dual-threshold, the cognitive user will send the judgment result to the base station; otherwise the cognitive user will calculate trust information based on D-S evidence theory, and then transmit them to the

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2

Chen, Li Na, and Chun Yu Miao. "Spectrum Detection for Cognitive Radio Based on Auto-Adaptive Threshold." Advanced Materials Research 187 (February 2011): 614–20. http://dx.doi.org/10.4028/www.scientific.net/amr.187.614.

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This paper proposed a cooperative spectrum sensing scheme based on auto-adaptive threshold in multi-user cognitive radio network, which can improve detection performance of cognitive user. According to closed-form expressions of detection probability, we compared the noncooperative scheme with the multi-user cooperative scheme, and compared the auto-adaptive threshold with fixed threshold in terms of detection probability through imitation. Result shown that the detection probability of multi-user cooperative detection is improved greatly compared to traditional noncooperative detection, and a

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Chopra, Khyati. "Intercept analysis with threshold-based diversity reception for cognitive network." International Journal of Ad Hoc and Ubiquitous Computing 41, no. 3 (2022): 170. http://dx.doi.org/10.1504/ijahuc.2022.10050033.

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Chopra, Khyati. "Intercept analysis with threshold-based diversity reception for cognitive network." International Journal of Ad Hoc and Ubiquitous Computing 41, no. 3 (2022): 170. http://dx.doi.org/10.1504/ijahuc.2022.126112.

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5

Ahuja, Bhawna, and Kanchan Sharma. "Adaptive Double Threshold based Spectrum Sensing for Cognitive Radio Networks." International Journal of Energy, Information and Communications 5, no. 6 (2014): 1–16. http://dx.doi.org/10.14257/ijeic.2014.5.6.01.

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6

Ranjeeth, M., and S. Anuradha. "Threshold Based Censoring of Cognitive Radios in Rician Fading Channel." Wireless Personal Communications 93, no. 2 (2016): 409–30. http://dx.doi.org/10.1007/s11277-016-3440-4.

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7

Liu, Xin, Chengwen Zhang, and Xuezhi Tan. "Double-threshold cooperative detection for cognitive radio based on weighing." Wireless Communications and Mobile Computing 14, no. 13 (2012): 1231–43. http://dx.doi.org/10.1002/wcm.2219.

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Yu, Gui Cai, Cheng Zhi Long, and Man Tian Xiang. "Research on Dynamic Threshold Based Energy Detection in Cognitive Radio Systems." Advanced Materials Research 462 (February 2012): 506–11. http://dx.doi.org/10.4028/www.scientific.net/amr.462.506.

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In cognitive radio networks, nodes should have the capability to decide whether a signal from a primary transmitter is locally present or not in a certain spectrum within a short detection period. Traditional spectrum sensing schemes based on fixed threshold are sensitive to noise uncertainty, a fractional fluctuate of average noise power in a short time can lead the performance of spectrum detection drop seriously. This paper presents a new spectrum detection algorithm based on dynamic threshold. Theoretical results show that the proposed scheme debate the noise uncertainty, and good detectio

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Wu, Yiping, Zilong Zhao, Fuwei Wu, and Jian Rong. "Information Volume Threshold for Graphical Variable Message Signs Based on Drivers’ Visual Cognition Behavior." Journal of Advanced Transportation 2022 (December 10, 2022): 1–15. http://dx.doi.org/10.1155/2022/7693492.

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Variable message signs (VMS) are widely employed to offer drivers dynamic traffic information. However, it is still lacking practical guidance about the information volume displayed on a graphical VMS. Building on the result of the subjective questionnaire survey, a static cognitive experiment was conducted to analyze the influence of volume information (i.e., elements and displaying the number of roads) of graphical VMS on drivers’ visual cognition characteristics and then determine the threshold number of roads displayed on VMS. Forty-five drivers participated in the static cognitive experim

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10

Zhang Xue-Jun, Lu You, Tian Feng, Sun Zhi-Xin, and Cheng Xie-Feng. "Double-threshold cooperative spectrum sensing for cognitive radio based on trust." Acta Physica Sinica 63, no. 7 (2014): 078401. http://dx.doi.org/10.7498/aps.63.078401.

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Li, Yuan, Jia Yin Chen, Xiao Feng Liu, and Ming Chuan Yang. "An Algorithm Based on Double-Threshold Energy Detection in Cognitive Radio." Applied Mechanics and Materials 643 (September 2014): 105–10. http://dx.doi.org/10.4028/www.scientific.net/amm.643.105.

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Aiming at the situation where the double-threshold detection has been widely used without complete mathematical proof and condition of application, this paper proves its correctness under the circumstance of spectrum sensing, and circulates the condition where this method can work. The proof and simulation show that, comparing with traditional energy detection, this method can increase the probability of detection by 27% to 42% at most when the SNR is between-15dB and-2dB, while the probability of false alarm is increased by less than 2%.

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12

Chopra, Khyati, Ranjan Bose, and Anupam Joshi. "Secrecy performance of threshold-based cognitive relay network with diversity combining." Journal of Communications and Networks 20, no. 4 (2018): 383–95. http://dx.doi.org/10.1109/jcn.2018.000054.

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13

Joshi, Deepak R., Dimitrie C. Popescu, and Octavia A. Dobre. "Gradient-Based Threshold Adaptation for Energy Detector in Cognitive Radio Systems." IEEE Communications Letters 15, no. 1 (2011): 19–21. http://dx.doi.org/10.1109/lcomm.2010.11.100654.

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14

Yu, Gui Cai, Cheng Zhi Long, and Man Tian Xiang. "Detection Sensitivity Based on Energy Detection in Cognitive Radio Systems." Advanced Materials Research 462 (February 2012): 500–505. http://dx.doi.org/10.4028/www.scientific.net/amr.462.500.

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Traditional energy detection algorithm is bad in anti-noise. In this paper, the relationship of energy detection performance and detection sensitivity with average noise power fluctuation in short time is investigated. Detection sensitivity drops quickly with the increment of average noise power fluctuation and becomes worse in low signal-to-noise ratio. To the characteristic, a new energy detection algorithm based on dynamic threshold is presented. Theoretic results and simulations show that the proposed scheme removes the falling proportion of performance and detection sensitivity caused by

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15

Li, Jiajia, Botao Wang, Guoren Wang, and Yifei Zhang. "Probabilistic threshold query optimization based on threshold classification using ELM for uncertain data." Neurocomputing 174 (January 2016): 211–19. http://dx.doi.org/10.1016/j.neucom.2015.05.122.

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16

Yu, Shanshan, Ju Liu, Jing Wang, and Inam Ullah. "Adaptive Double-Threshold Cooperative Spectrum Sensing Algorithm Based on History Energy Detection." Wireless Communications and Mobile Computing 2020 (June 30, 2020): 1–12. http://dx.doi.org/10.1155/2020/4794136.

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Spectrum sensing is one of the key technologies in the field of cognitive radio, which has been widely studied. Among all the sensing methods, energy detection is the most popular because of its simplicity and no requirement of any prior knowledge of the signal. In the case of low signal-to-noise ratio (SNR), the traditional double-threshold energy detection method employs fixed thresholds and there is no detection result when the energy is between high and low thresholds, which leads to poor detection performance such as lower detection probability and longer spectrum sensing time. To address

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17

Kim, Sun Mi, Hye Ri Kim, Hyun Jin Min, Kyung Soo Kim, Jae-Chan Jin, and Doug Hyun Han. "A novel olfactory threshold test for screening cognitive decline among elderly people." PLOS ONE 16, no. 7 (2021): e0254357. http://dx.doi.org/10.1371/journal.pone.0254357.

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Olfactory impairment is associated with dementia and is a potential early biomarker of cognitive decline. We developed a novel olfactory threshold test called Sniff Bubble using rose odor-containing beads made with 2-phenylethyl alcohol. We aimed to define cut-off scores for this tool to help identify cognitive decline among elderly people. In total, 162 elderly people (mean age ± SD: 73.04 ± 8.73 years) were administered olfactory threshold and neurocognitive tests. For analyses, we divided the participants into two groups based on cognitive functioning, namely cognitive decline (n = 44) and

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S. Sureshkrishna, S. Varalakshmi, K. Senthil Kumar, A. K. Gnanasekar,. "An Effective Adaptive Threshold Based Compressive Spectrum Sensing in Cognitive Radio Networks." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 1220–24. http://dx.doi.org/10.17762/itii.v9i1.260.

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Spectrum sensing is playing a vital role in Cognitive Radio networks. Wideband spectrum sensing increases the speed of sensing but which in turn requires higher sampling rate and also increases the complexity of hardware and also power consumption. Compression based sensing reduces the sampling rate by using Sub-Nyquist sampling but the compression and the reconstruction problem exists. In compression based spectrum sensing, noise uncertainty is one of the major performance degradation factor. To reduce this degradation, compressive measurements based sensing with adaptive threshold is propose

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19

Bagwari, Ashish, and Geetam Singh Tomar. "Multiple Energy detectors Based Cognitive Radio Networks Using Adaptive Double-Threshold scheme." International Journal of Smart Business and Technology 1, no. 1 (2013): 17–28. http://dx.doi.org/10.21742/ijsbt.2013.1.1.02.

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20

M. Elfatih, Nada, Elmustafa Sayed Ali, Maha Abdelhaq, Raed Alsaqour, and Rashid A. Saeed. "A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks." Computer Systems Science and Engineering 45, no. 1 (2023): 329–42. http://dx.doi.org/10.32604/csse.2023.028528.

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21

Liu, Yulei, Jun Liang, Nan Xiao, et al. "Adaptive double threshold energy detection based on Markov model for cognitive radio." PLOS ONE 12, no. 5 (2017): e0177625. http://dx.doi.org/10.1371/journal.pone.0177625.

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22

Chopra, Khyati, Ranjan Bose, and Anupam Joshi. "Secrecy performance of threshold-based decode-and-forward cooperative cognitive radio network." IET Communications 11, no. 9 (2017): 1396–406. http://dx.doi.org/10.1049/iet-com.2016.0917.

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23

Charan, Chhagan, and Rajoo Pandey. "Eigenvalue based double threshold spectrum sensing under noise uncertainty for cognitive radio." Optik 127, no. 15 (2016): 5968–75. http://dx.doi.org/10.1016/j.ijleo.2016.04.049.

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24

Ling, Xiang, Bin Wu, Hong Wen, Pin-Han Ho, Zhiqiang Bao, and Lili Pan. "Adaptive Threshold Control for Energy Detection Based Spectrum Sensing in Cognitive Radios." IEEE Wireless Communications Letters 1, no. 5 (2012): 448–51. http://dx.doi.org/10.1109/wcl.2012.062512.120299.

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25

RIDGWAY, G., R. OMAR, S. OURSELIN, D. HILL, J. WARREN, and N. FOX. "Issues with threshold masking in voxel-based morphometry of atrophied brains." NeuroImage 44, no. 1 (2009): 99–111. http://dx.doi.org/10.1016/j.neuroimage.2008.08.045.

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26

Bagwari, Ashish, and Geetam Singh Tomar. "Adaptive double-threshold based energy detector for spectrum sensing in cognitive radio networks." International Journal of Electronics Letters 1, no. 1 (2013): 24–32. http://dx.doi.org/10.1080/21681724.2013.773849.

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27

Charan, Chhagan, and Rajoo Pandey. "Intelligent selection of threshold in covariance-based spectrum sensing for cognitive radio networks." Wireless Networks 24, no. 8 (2017): 3267–79. http://dx.doi.org/10.1007/s11276-017-1533-y.

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28

Song, Xiaoshi, Changchuan Yin, Danpu Liu, and Rui Zhang. "Spatial Throughput Characterization in Cognitive Radio Networks with Threshold-Based Opportunistic Spectrum Access." IEEE Journal on Selected Areas in Communications 32, no. 11 (2014): 2190–204. http://dx.doi.org/10.1109/jsac.2014.1411rp05.

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29

Mosleh, Somayeh, Jamshid Abouei, and Masoud Reza Aghabozorgi. "Distributed Opportunistic Interference Alignment Using Threshold-Based Beamforming in MIMO Overlay Cognitive Radio." IEEE Transactions on Vehicular Technology 63, no. 8 (2014): 3783–93. http://dx.doi.org/10.1109/tvt.2014.2305849.

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30

Buratti, Laura, Giovanna Viticchi, Lorenzo Falsetti, et al. "Thresholds of impaired cerebral hemodynamics that predict short-term cognitive decline in asymptomatic carotid stenosis." Journal of Cerebral Blood Flow & Metabolism 36, no. 10 (2016): 1804–12. http://dx.doi.org/10.1177/0271678x15613526.

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Subjects with asymptomatic carotid stenosis (ACS) may be at risk of cognitive impairment due to cerebral hypoperfusion. In this study, we aimed to detect a threshold of cerebral hemodynamics which is able to identify subjects at risk of cognitive deterioration. In subjects with ACS, cerebral vasomotor reactivity (CVR) was assessed with the breath-holding index (BHI) transcranial Doppler-based method. Cognitive deterioration was defined as a decrease in the MMSE score by ≥2 points after one year. In order to define the threshold of impaired BHI, a ROC curve analysis was performed adopting the b

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31

Narendrakumar Chauhan, Et al. "Modified Threshold-based Spectrum Sensing Approach for VANETs." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 2135–45. http://dx.doi.org/10.17762/ijritcc.v11i10.8898.

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The Primary User (PU) signal detection in Cognitive Radio (CR) is crucial and is achieved through spectrum sensing techniques. The Energy Detection method is a commonly used technique, and selecting a proper threshold is essential to enhance the efficiency of the CR system. This research paper demonstrates the maximum achievable throughput and validates a Modified Threshold (MT) approach. The authors consider a scenario with multiple antennas at the receiver, where these antennas are correlated and subjected to mobility effects, and they employ the Energy Detection (ED) for spectrum sensing. T

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32

Xu, Gui Sen, and Xue Zhi Tan. "A Cluster Head Rotating Threshold for Cognitive Radio Network." Advanced Materials Research 171-172 (December 2010): 211–14. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.211.

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Cluster-based topology is an energy-efficient topology control method in cognitive radio networks. The cluster head node depletes energy faster than cluster member node and the rotation of cluster head node is needed to balance the energy consumption for the whole network. Aimed at the problem of unbalanced residual energy of each node caused by cluster heads and cluster members in wireless cognitive radio network, a novel algorithm named cluster head rotating threshold (CHRT) is presented. In the proposed algorithm, rotation energy threshold is estimated using cluster head real-time energy lo

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33

Veena, C. N., Rashmitha Vinayak Kamath, and M. Prashanth Kumar. "Effect of abacus training on critical flicker fusion frequency threshold among primary schoolchildren." Indian Journal of Physiology and Pharmacology 65 (August 10, 2021): 115–18. http://dx.doi.org/10.25259/ijpp_410_2020.

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Objectives: The concept of neuronal plasticity has been considerably studied to know how long-lasting changes are associated with brain’s capacity to be shaped or sculptured by experience. Potential cognitive benefits of abacus training have been proved by various studies indicating it to be a promising tool in improving cognitive abilities including arithmetic abilities, visuospatial and working memory. Critical flicker fusion happens when the individual can no longer differentiate between changing visual stimuli. It can be modulated by behavioural or psychophysical techniques. The objectives

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34

Adhikari, Rammani, and Mazhar Ali. "Performance Comparison of Energy Detection Based non – Cooperative Spectrum Sensing Techniques in Cognitive Radio." Himalayan Journal of Applied Science and Engineering 3, no. 1 (2022): 28–38. http://dx.doi.org/10.3126/hijase.v3i1.47898.

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Cognitive radio is a ground-breaking software-defined radio paradigm that offers Dynamic spectrum access, allowing secondary users to use the frequency band allotted to the principal user when it is not in use and vacate when the prime application returns. The ability to sense the spectrum is critical to cognitive radio's efficiency. Energy detection sensing is the simplest and most often used spectrum sensing approach, owing to its ease of implementation in cognitive radio applications. The three-energy detection-based algorithms adopted for different scenarios have been compared in this stud

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Ahmad, Hassaan Bin. "Ensemble Classifier Based Spectrum Sensing in Cognitive Radio Networks." Wireless Communications and Mobile Computing 2019 (January 1, 2019): 1–16. http://dx.doi.org/10.1155/2019/9250562.

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Spectrum sensing is one of the most important and challenging tasks in cognitive radio. To develop methods of dynamic spectrum access, robust and efficient spectrum sensors are required. For most of these sensors, the main constraints are the lack of information about the primary user’s (PU) signal, high computational cost, performance limits in low signal-to-noise ratio (SNR) conditions, and difficulty in finding a detection threshold. This paper proposes a machine learning based novel detection method to overcome these limits. To address the first constraint, detection is achieved using cycl

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36

Devrim, Müge, Tamer Demiralp, Ahmet Ademoglu, and Adnan Kurt. "A model for P300 generation based on responses to near-threshold visual stimuli." Cognitive Brain Research 8, no. 1 (1999): 37–43. http://dx.doi.org/10.1016/s0926-6410(99)00007-5.

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37

Caudle, Brad, Mark M. Espeland, Stephen R. Rapp, Sally A. Shumaker, Debbie Pleasants, and Laura D. Baker. "TELEPHONE-BASED COGNITIVE ASSESSMENTS IN A LARGE, MULTISITE RCT: THE COSMOS-MIND STUDY." Innovation in Aging 3, Supplement_1 (2019): S117. http://dx.doi.org/10.1093/geroni/igz038.432.

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Abstract Identifying safe, affordable, and well-tolerated interventions that prevent or delay cognitive decline in older adults is of critical importance. There is growing evidence from basic science and small randomized trials that cocoa flavanols may provide protection against this decline. Funded by the NIA, COSMOS-Mind is an ancillary study of COSMOS and was designed to add cognitive outcomes to the parent study, a 2x2 factorial randomized controlled trial testing the effects of cocoa flavanols (600 mg/d) and a multivitamin with matching placebo on cardiovascular disease and cancer endpoin

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A, Maria Christina Blessy, Brindha S, and Danesh K. "Threshold-Based Fuzzy Deep Q-Network for Spectrum Management in Cognitive Radio Vehicular Networks." International Journal of Computer Networks and Applications 11, no. 6 (2024): 915–32. https://doi.org/10.22247/ijcna/2024/55.

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39

Bagwari, Ashish, and Geetam Singh Tomar. "Cooperative Spectrum Sensing with Adaptive Double-Threshold Based Energy Detector in Cognitive Radio Networks." Wireless Personal Communications 73, no. 3 (2013): 1005–19. http://dx.doi.org/10.1007/s11277-013-1244-3.

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40

Chopra, Khyati, Ranjan Bose, and Anupam Joshi. "Secrecy Outage Performance of Cognitive Radio Network with Selection Combining at Eavesdropper." Recent Advances in Computer Science and Communications 13, no. 5 (2020): 987–98. http://dx.doi.org/10.2174/2213275912666190807122631.

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Background:: Based on the idea of cooperative communication, recently a lot of attention has been drawn to cooperative spectrum access for the secure information transmission in a Cognitive Radio Network (CRN). Security is one of the most important aspects of these networks, as due to their open and dynamic nature, they are extremely vulnerable to malicious behavior. Cooperative cognitive radio has emerged as a dynamic spectrum access technique, where an unlicensed (secondary) user is allowed to simultaneously access the licensed channels dedicated to a Primary User (PU), as long as the Qualit

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41

Abzhandadze, Tamar, Erik Lundström, Dongni Buvarp, Marie Eriksson, Terence J. Quinn, and Katharina S. Sunnerhagen. "Development of a Swedish short version of the Montreal Cognitive Assessment for cognitive screening in patients with stroke." Journal of Rehabilitation Medicine 55 (June 13, 2023): jrm4442. http://dx.doi.org/10.2340/jrm.v55.4442.

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Objective: The primary objective was to develop a Swedish short version of the Montreal Cognitive Assessment (s-MoCA-SWE) for use with patients with stroke. Secondary objectives were to identify an optimal cut-off value for the s-MoCA-SWE to screen for cognitive impairment and to compare its sensitivity with that of previously developed short forms of the Montreal Cognitive Assessment.Design: Cross-sectional study.Subjects/patients: Patients admitted to stroke and rehabilitation units in hospitals across Sweden.Methods: Cognition was screened using the Montreal Cognitive Assessment. Working ve

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42

Zhao, Yuan, and Zhiyu Xiang. "A Multichannel Allocation Strategy Based on Preemption Threshold and Preemption Probability in Cognitive Radio Networks." Mobile Information Systems 2021 (September 23, 2021): 1–13. http://dx.doi.org/10.1155/2021/6190872.

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In traditional multichannel cognitive radio networks (CRNs), users are split into two different priorities. Because of the low priority of secondary users (SUs), SU packets’ transmissions are easily interrupted by primary users (PUs). In this paper, two control parameters, called preemption threshold H and preemption probability q, are used to regulate the preemption behavior of PU packets to improve the transmission performance of SU packets. When all channels in the system are occupied, the preemption behavior of PU packets will be adjusted according to the amount of SU packets that are tran

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Pletnikova, Alexandra, Nicholas S. Reed, Halima Amjad, et al. "Identification of Hearing Loss in Individuals With Cognitive Impairment Using Portable Tablet Audiometer." Perspectives of the ASHA Special Interest Groups 4, no. 5 (2019): 947–53. http://dx.doi.org/10.1044/2019_pers-sig8-2018-0018.

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Purpose The purpose of this study was to determine the feasibility of using a tablet-based portable audiometer to identify hearing loss in a cognitively impaired population. Method In this study, we used a retrospective chart review of an outpatient memory clinic. During a quality initiative, older adult ( M age = 74.6) patients ( n = 91) completed pure-tone hearing testing (0.5–4 kHz) via automated self-administration and technician-administered threshold testing (gold standard) on a tablet-based audiometer. Results Technician-administered auditory threshold testing was successfully conducted

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Yang, Mingchuan, Guanchang Xue, Botao Liu, and Yupu Yang. "Dual Threshold Cooperative Sensing Based Dynamic Spectrum Sharing Algorithm for Integrated Satellite and Terrestrial System." Remote Sensing 14, no. 23 (2022): 6061. http://dx.doi.org/10.3390/rs14236061.

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In this paper, cognitive technology is introduced into the integrated satellite terrestrial system to realize the dynamic spectrum sharing of the system and improve the utilization rate of spectrum resources. To overcome the effects of low signal-to-noise ratio (SNR) and noise uncertainty in the channel, a dual-threshold cooperative sensing strategy based on energy detection is introduced. Spectrum sensing is considered as a binary hypothesis problem, but the uncertainty of noise interference in the integrated satellite terrestrial cognitive system will cause the perception to appear ambiguous

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45

Reich, David R., Paul Prasse, and Lena A. Jäger. "Evaluating Gaze Event Detection Algorithms: Impacts on Machine Learning-based Classification and Psycholinguistic Statistical Modeling." Proceedings of the ACM on Human-Computer Interaction 9, no. 3 (2025): 1–15. https://doi.org/10.1145/3725835.

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Eye movements offer valuable, non-invasive insights into cognitive processes and are widely used in both psycholinguistic research and machine-learning applications, such as assessing reading comprehension and cognitive load. These applications typically rely on fixations and saccades detected through gaze event algorithms, which may be either proprietary or open-source. The impact of different gaze event detection algorithms on subsequent analysis is underexplored and often overlooked. This study investigates how two threshold-based algorithms, I-DT and I-VT, influence both machine-learning c

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46

Perić, Dragana, and Miroslav Perić. "Low Power Consumption Digital Clock Recovery Circuit Based on Threshold Crossing." Journal of Electrical Engineering 67, no. 6 (2016): 433–38. http://dx.doi.org/10.1515/jee-2016-0063.

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Abstract In this paper a new structure of digital clock recovery — DCR circuit is presented. The main features of this DCR are: low complexity design, low power consumption and a single system clock operation. Thus, multiple instantiation of this type of DCR on a single chip is not complex. Due to this, such DCR can target application in energy-efficient cognitive radio systems with carrier aggregation. For performance evaluation, we have derived Markov chain based mathematical model for peak-to-peak and root mean square jitter performance analysis. The stability problem of this model, rising

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Xie, Gang, Xincheng Zhou, and Jinchun Gao. "Adaptive Trust Threshold Model Based on Reinforcement Learning in Cooperative Spectrum Sensing." Sensors 23, no. 10 (2023): 4751. http://dx.doi.org/10.3390/s23104751.

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In cognitive radio systems, cooperative spectrum sensing (CSS) can effectively improve the sensing performance of the system. At the same time, it also provides opportunities for malicious users (MUs) to launch spectrum-sensing data falsification (SSDF) attacks. This paper proposes an adaptive trust threshold model based on a reinforcement learning (ATTR) algorithm for ordinary SSDF attacks and intelligent SSDF attacks. By learning the attack strategies of different malicious users, different trust thresholds are set for honest and malicious users collaborating within a network. The simulation

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48

Piera-Jiménez, Jordi, Anne Etzelmueller, Spyros Kolovos, Frans Folkvord, and Francisco Lupiáñez-Villanueva. "Guided Internet-Based Cognitive Behavioral Therapy for Depression: Implementation Cost-Effectiveness Study." Journal of Medical Internet Research 23, no. 5 (2021): e27410. http://dx.doi.org/10.2196/27410.

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Background Major depressive disorder is a chronic condition; its prevalence is expected to grow with the aging trend of high-income countries. Internet-based cognitive-behavioral therapy has proven efficacy in treating major depressive disorder. Objective The objective of this study was to assess the cost-effectiveness of implementing a community internet-based cognitive behavioral therapy intervention (Super@, the Spanish program for the MasterMind project) for treating major depressive disorder. Methods The cost-effectiveness of the Super@ program was assessed with the Monitoring and Assessm

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Charan, Chhagan, and Rajoo Pandey. "An Adaptive Spectrum-Sensing Algorithm for Cognitive Radio Networks based on the Sample Covariance Matrix." Defence Science Journal 67, no. 3 (2017): 325. http://dx.doi.org/10.14429/dsj.67.10506.

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<p>A novel adaptive threshold spectrum sensing technique based on the covariance matrix of received signal samples is proposed. The adaptive threshold in terms of signal to noise ratio (SNR) and spectrum utilisation ratio of primary user is derived. It considers both the probability of detection and the probability false alarm to minimise the overall decision error probability. The energy- based spectrum sensing scheme shows high vulnerability under noise uncertainty and low SNR. The existing covariance-based spectrum sensing technique overcomes the noise uncertainty problem but its perf

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Zheng, Xue Qiang, Juan Chen, Xin Wang, and Fan Jun Kong. "Selection of Cognitive Users in Cooperative Spectrum Sensing." Advanced Materials Research 433-440 (January 2012): 5218–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5218.

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Abstract:

Cooperative spectrum sensing under network overhead constraints is studied. To protect the primary user well, the detection probability must exceed the predefined threshold. Based on the protection of the primary user, the constraints on optimal number of cognitive users are defined by weighting the detection performance and the usage efficiency in a target function. The analysis of the target function is given under energy fusion strategy in the fusion center. The simulation results show the validity of the constraints.

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