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Secrecy Outage Probability Analysis Based on Cognitive Decode-and-Forward Relaying
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作者 Ruoyu Su Xiaojun Sun +3 位作者 Fei Ding Dengyin Zhang Hongbo Zhu m.i.m.wahab 《Computers, Materials & Continua》 SCIE EI 2020年第3期1387-1395,共9页
Wireless communications have to face to several different security issues in practice due to the nature of broadcast.The information theory is well known to provide efficient approaches to address security issues in w... Wireless communications have to face to several different security issues in practice due to the nature of broadcast.The information theory is well known to provide efficient approaches to address security issues in wireless communications,which attracts much attention in both industry and academia in recent years.In this paper,inspired by information theory,we study the outage probability of the opportunistic relay selection based on cognitive decode-and-forward relaying with the secrecy consideration.Specifically,the closed-form expression of the outage probability is proposed.Moreover,the asymptotic performance evaluation on the basis of the analytical results is investigated.The simulation results show that the relay selection can reduce the outage probability in accordance with our theoretical analysis. 展开更多
关键词 Secure communication average secrecy rate relay selection probability density function
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The role of oil futures intraday information on predicting US stock market volatility
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作者 Yusui Tang Xiao Xiao +1 位作者 m.i.m.wahab Feng Ma 《Journal of Management Science and Engineering》 2021年第1期64-74,共11页
This study investigates the role of oil futures price information on forecasting the US stock market volatility using the HAR framework.In-sample results indicate that oil futures intraday information is helpful to in... This study investigates the role of oil futures price information on forecasting the US stock market volatility using the HAR framework.In-sample results indicate that oil futures intraday information is helpful to increase the predictability.Moreover,compared to the benchmark model,the proposed models improve their predictive ability with the help of oil futures realized volatility.In particular,the multivariate HAR model outperforms the univariate model.Accordingly,considering the contemporaneous connection is useful to predict the US stock market volatility.Furthermore,these findings are consistent across a variety of robust checks. 展开更多
关键词 Volatility forecasting The US stock Market Oil market volatility Realized volatility DCC model
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