Outage performance of SWIPT-NOMA-CR network with imperfect SIC and CSI by Zhuhua MA, Liping LUO

“…For the cognitive relay network based on simultaneous wireless information and power transfer (SWIPT) and non-orthogonal multiple access (NOMA), which is termed as SWIPT-NOMA-CR network, considering the practical situation of imperfect successive interference cancellation (SIC) and channel state information (CSI), the outage performance of secondary users was studied by using three relay transmission schemes including ideal, time switching (TS) and power splitting (PS).The analytical expressions of outage probability were derived for the secondary users, and the theoretical derivations were validated by Monte Carlo simulations.The results show that the outage performance of secondary users is impaired due to the imperfect SIC and CSI.Compared with the imperfect CSI, the imperfect SIC causes more severe loss to the outage performance of the system.Moreover, the outage probability of PS relay transmission scheme is lower than that of TS scheme.When the imperfect SIC and CSI conditions are changed, the outage probability gap with PS scheme is less than that with TS scheme, which indicates that the reliability of PS relay transmission scheme is superior to that of TS scheme.…”
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Bayesian inference for the parameters of the generalized logistic distribution under a combined framework of generalized type-I and type-II hybrid censoring schemes with applicatio... by Mustafa M. Hasaballah, Oluwafemi Samson Balogun, M. E. Bakr

“…Key objectives include the development of maximum likelihood estimators and asymptotic confidence intervals, alongside Bayesian estimation techniques using Markov chain Monte Carlo methods. These advancements facilitate the computation of credible intervals under various loss functions, thereby improving estimation efficiency. …”
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An enhanced Bayesian approach for damage identification utilizing prior knowledge from refined elemental modal strain energy ratios by Li Chen, Hui Chen, Lu-ling Liu

“…Using the sparse prior and initial damage estimates, Markov Chain Monte Carlo (MCMC) sampling computes the posterior Probability Density Functions (PDFs) of damage parameters to determine the Maximum A Posteriori (MAP) estimates. …”
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Spatial confinement affects the heterogeneity and interactions between shoaling fish by Gabriel Kuntz, Junxiang Huang, Mitchell Rask, Alex Lindgren-Ruby, Jacob Y. Shinsato, Dapeng Bi, A. Pasha Tabatabai

“…Furthermore, we utilize Monte Carlo simulations to replicate the experimentally observed data which provides insight into the effective interactions between fish and confirms the presence of a confinement-based behavioral preference transition. …”
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Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars by M. I. Dobynde, Y. Y. Shprits, A. Y. Drozdov, J. Hoffman, Ju Li

“…In this study, we combine models of the particle environment arising due to SEP and GCR with Monte Carlo simulations of radiation propagation inside a spacecraft and phantom. …”
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OLED Fabrication by Using a Novel Planar Evaporation Technique by Fu-Ching Tung, Yi-Shan Wang, Shih-Hsiang Lai, Chien-Chih Chen, Szu-Hao Chen, Ching-Chiun Wang, Jwo-Huei Jou, Sun-Zen Chen

“…We hence demonstrate experimentally, along with a Monte Carlo simulation, in the report the feasibility of using the technique to deposit on a large area-size substrate various organic materials with a relatively high material utilization rate coupling with high film uniformity. …”
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…To assess the performance, we conduct a Monte Carlo simulation where mean squared error is considered as an evaluation criterion. …”
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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

“…To compare the performance of the proposed algorithm against existing methods, a Monte Carlo simulation-based approach was employed. The results of this simulation revealed significant improvements in the algorithm's outputs. …”
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Role of Electrostatic Effects in the Pure Component and Binary Adsorption of Ethylene and Ethane in Cu-Tricarboxylate Metal-Organic Frameworks by Timothy M. Nicholson, Suresh K. Bhatia

“…Both experimental data and single-component Grand Canonical Monte Carlo (GCMC) simulations were fitted well with the Unilan model and mixture isotherms were satisfactorily predicted by the Ideal Adsorbed Solution Theory when compared with binary simulation results. …”
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Design of the Online Gross γ Monitoring Instrument at the Exit of the Helium Purification System in HTR-PM by Mengqi Lou, Liguo Zhang, Feng Xie, Jianzhu Cao, Jiejuan Tong, Weirong Liu, Yong Wang

“…The detailed configuration of the gross γ monitoring instrument was presented in detail. The Monte Carlo method was used to simulate the detection efficiency of the monitoring system. …”
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Location planning techniques for Internet provider service unmanned aerial vehicles during crisis by Kassem Danach, Hassan Harb, Ameer Sardar Kwekha Rashid, Mutaz A.B. Al-Tarawneh, Wael Hosny Fouad Aly

“…The framework employs a dynamic selection of multiple low-level heuristics, guided by real-time problem conditions and a Monte Carlo-based decision process. The performance of this approach was evaluated through simulations across 40 different scenarios, encompassing urban, suburban, rural, and mixed environments. …”
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A fatigue-reliability approach using ultrasonic non-destructive inspection by Chouikh, Iheb, Bouraoui, Chokri

“…To analyse the performance and efficacity of the model, the probability of detection is determined using the “signal response” technique.The Paris model is used to predict the fatigue life taking into consideration the initial crack distributions, the dispersion of the parameters underlined by the Least-squares method and Monte-Carlo simulations.Reliability evaluation is discussed later for two cases: Detection and No-detection case.If no indication is presented, an inspection detection threshold is determined and optimized. …”
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Evaluating the Dynamic Response of the Bridge-Vehicle System considering Random Road Roughness Based on the Moment Method by Fan Feng, Fanglin Huang, Weibin Wen, Zhe Liu, Xiang Liu

“…The proposed method has higher accuracy and efficiency than the Monte Carlo simulation (MCS) calculation method. Subsequently, the influences of vehicle speed, roughness grade, and bridge span on the impact factor (IMF) were analyzed. …”
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CREEP RELIABILITY ANALYSIS OF TURBINE BLISK BASED ON DUAL RESPONSE SURFACE METHOD by ZHANG ChunYi, WANG AiHua, SUN Tian, JING HuiZhe, LI ChengWei

“…The comprehensive reliability analysis of the blisk was completed by using Monte Carlo method with linkage sampling of dual response surface model. …”
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Performance analysis of dual-hop PLC-FSO communication system by Shenghai CHEN, Xiaoqin YAN, Sai LI, Liang YANG

“…A dual-hop power line communication and free-space optical communication (PLC-FSO) system was proposed, where an amplify-and-forward (AF) relay was applied to help the signal transmission between the PLC link and the FSO link.More specifically, it was assumed that the PLC link was affected by both additive background noise and impulsive noise, and the channel fading followed log-normal distribution, while the fading induced by the atmospheric turbulence in the FSO link followed a Gamma-Gamma distribution, and the effect of pointing errors was also considered.Based on this model, closed-form expressions for the outage probability, bit error rate, and the channel capacity were derived.In addition, asymptotic analysis for the outage probability and BER, and upper bound expression for the channel capacity were presented.Finally, the accuracy of the analytical results was justified through Monte-Carlo simulations.The results show that the system outage probability decreases as the pointing error parameter increases and the smaller the PLC link impulse noise, the lower the bit error rate.The system capacity increases as the turbulence intensity decreases.…”
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Replication, a Hallmark of Good Science: Unraveling the Factors That Predict Replication Success by Grant, Malcolm, Snook, Brent, Button, Cathryn

“…Considerable discussion in recent years has focused on failures to replicate findings in the psychological literature. In a Monte Carlo simulation of the research process, we examined several characteristics of research studies that might predict replication success (i.e., when both studies show similar effect sizes), and when estimated effect sizes reflect true effects. …”
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Extracting Kinetic Freeze-Out Properties in High-Energy Collisions Using a Multisource Thermal Model by Jia-Yu Chen, Mai-Ying Duan, Fu-Hu Liu, Khusniddin K. Olimov

“…The results obtained from our Monte Carlo method are used to fit the experimental results of the PHENIX and STAR Collaborations. …”
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Stability Analysis of Downstream Dam Expansion Tailings Pond by Jiaxu Jin, Hongyue Zhang, Liang Xu, Kelin Zhou, Xiangfeng Lv

“…The results reveal that throughout the tailings accumulation process in the new reservoir, the tailings will build a back pressure slope at the original reservoir’s initial dam, which can considerably improve the original reservoir’s dynamic and static stability. The Monte Carlo method clearly outperforms older methods for tailing pond stability analysis. …”
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Risk Measurement for Portfolio Credit Risk Based on a Mixed Poisson Model by Rongda Chen, Huanhuan Yu

“…Finally, given the values of coefficients in this model calculated by a nonlinear estimation, Monte Carlo technique simulates the progress of loss occurrence. …”
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Investigating Low Latency Communications With Link-Layer Rate of NOMA Under Nakagami-<italic>m</italic> Fading Channel in Finite Blocklength Regime by Muhammad Imran, Muhammad Amjad, Muhammad Khalil Afzal, Muhammad Usman, Byung-Seo Kim

“…We also perform Monte-Carlo simulations to validate our proposed closed-form expressions of two-user downlink NOMA.…”
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