具有批量到达和无流量的移动voip场景下wimax准入控制算法的评估

A. Flizikowski, Marcin Przybyszewski, W. Holubowicz
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引用次数: 0

摘要

摘要本文介绍了在基于模拟BS周围的真实世界地形特征的移动场景中,使用nbLDPC(非二进制低密度奇偶校验)FEC评估WiMAX网络中VoIP会话质量的结果。被测系统采用三种呼叫接纳控制(CAC)机制(即EMAC、ARAC和nsc-ARAC)。这些算法是针对控制突发到达的VBR流量进行评估的。第一种算法依赖于计算总体资源消耗的简单指数加权移动平均(EWMA),而另外两种ARAC算法执行区分新连接、正在进行连接和结束连接的计算,从而提供更准确的资源估计(但ARAC也跟踪请求的历史记录)。为了评估它们的性能,作者依赖于基于单元级的仿真环境,该环境依赖于众所周知的模拟器ns2和Matlab的协同使用。通过改进所提出的IEEE 802.16模拟器的保真度,增强了先前在该领域的工作。作者演示了每批到货数量增加的影响,并测试了“零时”情景(系统饱和)。为了在SUT的移动信道中包含nbLDPC码,实现了一种称为链路到系统接口(L2S)的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of wimax admission control algorithms in mobile voip scenarios with batch arrivals and nbldpc fec
Abstract This paper presents results of assessing quality of VoIP conversations in WiMAX networks using the nbLDPC (non-binary Low- Density Parity-Check) FEC in mobility scenarios that are based on the real world terrain charactristics around simulated BS. System under test (SUT) is instrumented with three Call Admission Control (CAC) mechanisms (namely EMAC, ARAC and nsc-ARAC). These algorithms are evaluated against controlling the VBR traffic that comes with burst arrivals. The first algorithm relies on calculating simple exponential weighted moving average (EWMA) of the overall resource consumption whereas the other two ARAC algorithms perform calculations discerning between the new, the ongoing and the finishing connections thus providing more accurate resource estimations (but the ARAC tracks the history of requests as well). In order to evaluate their performance authors rely on a cell-level based simulation environment that relies on the cooperative use of well known simulators - ns2 and Matlab. Previous work in the field is enhanced by improving the fidelity of proposed IEEE 802.16 simulator. Authors demonstrate the influence of increasing number of arrivals per one batch as well as testing the "zero hour" scenario (system saturation). In order to include nbLDPC codes in SUT’s mobile channels, a method called Link-To-System interface (L2S) has been implemented.
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