T-SIMn:面向802.11n网络的高保真跟踪仿真

A. Abedi, Andrew Heard, Tim Brecht
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引用次数: 3

摘要

在本文中,我们描述了一种新的基于跟踪的802.11n网络评估框架的设计、实现和评估,我们称之为T-SIMn。我们首先开发用于收集和处理包含帧聚合(FA)的802.11n网络的迹线的新技术。然后,我们证明了我们的框架(SIMn)的模拟器部分准确地模拟了具有FA的802.11n中一个、两个和三个天线物理层数据速率的吞吐量。最后,我们通过使用代表各种单天线设备的iPhone收集跟踪来评估T-SIMn框架(包括跟踪收集)。我们展示了我们的框架可以用来准确地模拟这些场景,我们通过揭示我们的初始评估方法的问题来展示SIMn的保真度。我们期望T-SIMn框架将适用于简单和公平地比较算法,这些算法必须针对不同和变化的802.11n信道条件进行优化,这些条件在实验评估中具有挑战性。其中包括速率自适应、帧聚合和信道带宽自适应算法。git
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T-SIMn: Towards the High Fidelity Trace-Based Simulation of 802.11n Networks
In this paper, we describe the design, implementation and evaluation of a new framework for the trace-based evaluation of 802.11n networks, which we call T-SIMn. We first develop novel techniques for collecting and processing traces for 802.11n networks that incorporate Frame Aggregation (FA). We then demonstrate that the simulator portion of our framework (SIMn) accurately simulates throughput for one, two and three-antenna Physical Layer Data Rates in 802.11n with FA. Finally, we evaluate the T-SIMn framework (including trace collection) by collecting traces using an iPhone which is representative of a wide variety of one antenna devices. We show that our framework can be used to accurately simulate these scenarios and we demonstrate the fidelity of SIMn by uncovering problems with our initial evaluation methodology. We expect that the T-SIMn framework will be suitable for easily and fairly comparing algorithms that must be optimized for different and varying 802.11n channel conditions which are challenging to evaluate experimentally. These include rate adaptation, frame aggregation and channel bandwidth adaptation algorithms. git
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