带放弃功能的碰撞信道的性能分析

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2024-05-25 DOI:10.1016/j.peva.2024.102424
Dieter Fiems , Tuan Phung-Duc
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引用次数: 0

摘要

我们在载波感应多路访问系统的背景下,考虑了一个具有客户碰撞和放弃的马尔可夫重试排队系统。利用 z 变换技术,我们找到了一组一阶微分方程,用于计算服务器空闲、繁忙或处于碰撞阶段时轨道大小的概率生成函数。然后,我们利用数列展开技术,从这组微分方程中提取相关性能指标的近似值。更准确地说,我们构建了一种数值算法,用于计算轨道大小各种阶乘矩的级数展开项。为了提高数列展开方法的精度,我们采用了 Wynn 的ε算法,该算法不仅加快了收敛速度,还扩大了收敛区域。我们通过一些数值示例来说明我们的方法的准确性,并发现该方法在很大的参数值范围内既快速又准确。
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Performance analysis of a collision channel with abandonments

We consider a Markovian retrial queueing system with customer collisions and abandonment in the context of carrier-sense multiple access systems. Using z-transform techniques, we find a set of first-order differential equations for the probability generating functions of the orbit size when the server is empty, busy, or in the collision phase. We then rely on series expansion techniques to extract approximations for relevant performance measures from this set of differential equations. More precisely, we construct a numerical algorithm to calculate the terms in the series expansions of various factorial moments of the orbit size. To improve the accuracy of our series expansion approach, we apply Wynn’s epsilon algorithm which not only speeds up convergence, but also extends the region of convergence. We illustrate the accuracy of our approach by means of some numerical examples, and find that the method is both fast and accurate for a wide range of the parameter values.

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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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