实现支持电子学习的X3D协作虚拟环境的高级特性

IF 3.3 Q1 EDUCATION & EDUCATIONAL RESEARCH International Journal of Distance Education Technologies Pub Date : 2014-12-01 DOI:10.1109/GLOCOM.2014.7037348
C. Bouras, T. Tsiatsos, Vasileios Triglianos
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Implementing Advanced Characteristics of X3D Collaborative Virtual Environments for Supporting e-Learning
This work is devoted to the analysis of the performance of energy detection based spectrum sensing in the presence of enriched fading conditions which are distinct for the large number of multipath components and the lack of a dominant components. This type of fading conditions are characterized efficiently by the well known Nakagami-q or Hoyt distribution and the proposed analysis is carried out in the context of the area under the receiver operating characteristics (ROC) curve (AUC). Unlike the widely used probability of detection metric, the AUC is a single metric and has been shown to be rather capable of evaluating the performance of a detector in applications relating to cognitive radio, radar systems and biomédical engineering, among others. Based on this, novel analytic expressions are derived for the average AUC and its complementary metric, average CAUC, for both integer and fractional values of the involved time-bandwidth product. The derived expressions have a tractable algebraic representation which renders them convenient to handle both analytically and numerically. Based on this, they are employed in analyzing the behavior of energy detection based spectrum sensing over enriched fading conditions for different severity scenarios, which demonstrates that the performance of energy detectors is, as expected, closely related to the value of the fading parameter q.
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来源期刊
CiteScore
9.10
自引率
0.00%
发文量
14
期刊介绍: Discussions of computational methods, algorithms, implemented prototype systems, and applications of open and distance learning are the focuses of this publication. Practical experiences and surveys of using distance learning systems are also welcome. Distance education technologies published in IJDET will be divided into three categories, communication technologies, intelligent technologies.
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