802.11 PHY/MAC的仿真:追求准确性和效率

Michele Segata, R. Cigno
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引用次数: 8

摘要

这项工作的目标是强调和解释无线局域网网络模拟器中使用的传统物理信道模型的局限性,特别是参考vanet,这些局限性可能会危及结果的有效性,特别是对于安全应用。最基本的权衡是模拟时间和真实感。实际上,模拟器应该尽可能快地提供真实的结果,即使考虑了几个节点(即数百个)。我们的最终目标,除了这个最初的贡献,是一个随机通道模型的发展,提高了模拟的可靠性,同时只增加了计算的复杂性。我们的模型设计基于将数据包解码过程表示为马尔可夫决策(随机)过程(MDP),从而避免了逐位模拟整个传输-传播-解码链的计算复杂性,这当然可以提供足够的精度,但代价是不可接受的计算(和模型)复杂性。本文确定了代表MDP建模传输链的“状态”的关键现象,如前导检测、中心频率失调、信道捕获、车辆相对速度,并提出了一种MDP结构来利用它。重点是802.11p和基于ofdm的物理层,但该模型很容易扩展到其他传输技术。该设计是为在ns-3中实现而量身定制的,尽管建模原则是通用的,适用于每个事件驱动的模拟器。
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Simulation of 802.11 PHY/MAC: The quest for accuracy and efficiency
The goal of this work is to highlight and explain the limitations of traditional physical channel models used in network simulators for wireless LANs, with particular reference to VANETs, where these limitations may jeopardize the validity of results, specially for safety applications. The fundamental tradeoff is between simulation time and realism. Indeed, a simulator should provide realistic results as fast as possible, even if several nodes (i.e., hundreds) are considered. Our final goal, beyond this initial contribution, is the development of a stochastic channel model which improves reliability of simulations while increasing computational complexity only marginally. The design of our model is based on the representation of the packet decoding procedure as a Markov Decision (Stochastic) Process (MDP), thus avoiding the computational complexity of the simulation of the entire transmission - propagation - decoding chain bit-by-bit, which can surely provide enough accuracy, but at the price of unacceptable computational (and model) complexity. The paper identifies the key phenomena such as preamble detection, central-frequency misalignment, channel captures, vehicles relative speed, that represent the `state' of the MDP modeling the transmission chain, and propose an MDP structure to exploit it. The focus is on 802.11p and OFDM-based PHY layers, but the model is extensible to other transmission techniques easily. The design is tailored for implementation in ns-3, albeit the modeling principle is general and suitable for every event-driven simulator.
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