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一种基于微模拟-半符号分析的迭代模拟方法的快速计算实现的手术简化

An Operation Reduction Using Fast Computation of an Iteration-Based Simulation Method with Microsimulation-Semi-Symbolic Analysis.

作者信息

Mladenovic Vladimir, Milosevic Danijela, Lutovac Miroslav, Cen Yigang, Debevc Matjaz

机构信息

Faculty of Technical Sciences Cacak, University of Kragujevac, 32000 Cacak, Serbia.

The School of Electrical Engineering and Computer Science of Applied Studies Belgrade, 11000 Belgrade, Serbia.

出版信息

Entropy (Basel). 2018 Jan 18;20(1):62. doi: 10.3390/e20010062.

DOI:10.3390/e20010062
PMID:33265156
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7512259/
Abstract

This paper presents a method for shortening the computation time and reducing the number of math operations required in complex calculations for the analysis, simulation, and design of processes and systems. The method is suitable for education and engineering applications. The efficacy of the method is illustrated with a case study of a complex wireless communication system. The computer algebra system (CAS) was applied to formulate hypotheses and define the joint probability density function of a certain modulation technique. This innovative method was used to prepare microsimulation-semi-symbolic analyses to fully specify the wireless system. The development of an iteration-based simulation method that provides closed form solutions is presented. Previously, expressions were solved using time-consuming numerical methods. Students can apply this method for performance analysis and to understand data transfer processes. Engineers and researchers may use the method to gain insight into the impact of the parameters necessary to properly transmit and detect information, unlike traditional numerical methods. This research contributes to this field by improving the ability to obtain closed form solutions of the probability density function, outage probability, and considerably improves time efficiency with shortened computation time and reducing the number of calculation operations.

摘要

本文提出了一种方法，可缩短分析、模拟和设计过程及系统的复杂计算所需的计算时间，并减少数学运算次数。该方法适用于教育和工程应用。通过一个复杂无线通信系统的案例研究说明了该方法的有效性。应用计算机代数系统（CAS）来制定假设并定义某种调制技术的联合概率密度函数。这种创新方法用于准备微模拟半符号分析，以全面指定无线系统。提出了一种基于迭代的模拟方法的开发，该方法提供封闭形式的解。以前，表达式是使用耗时的数值方法求解的。学生可以应用此方法进行性能分析并理解数据传输过程。与传统数值方法不同，工程师和研究人员可以使用该方法深入了解正确传输和检测信息所需参数的影响。本研究通过提高获得概率密度函数、中断概率的封闭形式解的能力，以及通过缩短计算时间和减少计算操作次数显著提高时间效率，为该领域做出了贡献。

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