GPS方案下无线4G小区的性能建模

D. Kouvatsos, Yue Li, I. Awan
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引用次数: 1

摘要

设计了一种新的分析框架,用于无线4G蜂窝的性能建模,该蜂窝具有突发的多类流量,包括互联网协议(IP)语音呼叫、流媒体和数据包,这些流量服从有效的介质访问控制(MAC)协议,具有基于缓冲阈值的流量处理广义部分共享(GPS)方案。在此背景下,提出了一个由三个相互作用的多类ge型排队和延迟系统组成的开放排队网络模型(QNM),并在适当的ge型均值约束下对最大熵(ME)联合状态概率进行了表征。此外,确定了聚合状态和阻塞(每个类)概率的封闭形式表达式。本文给出了典型的数值示例,以对照基于java的仿真结果验证theME性能指标,并研究突发的多类流量流对无线4G蜂窝性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Modelling of a Wireless 4G Cell under GPS Scheme
A novel analytic framework is devised for the performance modelling of a wireless 4G cell with bursty multiple class traffic flows consisting of Internet protocol (IP) voice calls, streaming media and data packets subject to an efficient medium access control (MAC) protocol with a buffer threshold-based traffic handling generalized partial sharing (GPS) scheme. In this context, an open queueing network model (QNM) is proposed consisting of three interacting multiple class GE-type queueing and delay systems and maximum entropy (ME) joint state probabilities are characterized, subject to appropriate GE-type mean value constraints. Moreover, closed form expressions for the aggregate state and blocking (per class) probabilities are determined. Typical numerical examples are included to validate theME performance metrics against Java-based simulation results and also to study the effect of bursty multiple class traffic flow upon the performance of the wireless 4G cell.
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