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On the Design of a WiFi Direct 802.11ac WLAN under a TGn MIMO Multipath Fading Channel

机译:TGn MIMO多径衰落信道下WiFi Direct 802.11ac WLAN的设计

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摘要

WiFi Direct (WD) is a state of the art technology for a Device-to-Device (D2D) communication in 802.11 networks. The performance of the WD system can be significantly affected by some key factors such as the type of application, specifications of MAC and PHY layer parameters, and surrounding environment etc. It is, therefore, important to develop a system model that takes these factors into account. In this paper, we focus on investigating the design parameters of the PHY layer that could maximize the efficiency of the WD 802.11 system. For this purpose, a basic theoretical model is formulated for a WD network under a 2x2 Multiple In Multiple Out (MIMO) TGn channel B model. The design level parameters such as input symbol rate and antenna spacing, as well as the effects of the environment, are thoroughly examined in terms of path gain, spectral density, outage probability and Packet Error Rate (PER). Thereafter, a novel adaptive algorithm is proposed to choose optimal parameters in accordance with the Quality of Experience (QoE) for a targeted application. The simulation results show that the proposed method outperforms the standard method thereby achieving an optimal performance in an adaptive manner.
机译:WiFi Direct(WD Direct)是802.11网络中设备到设备(D2D)通信的最新技术。 WD系统的性能可能会受到一些关键因素的显着影响,例如应用程序的类型,MAC和PHY层参数的规格以及周围环境等。因此,重要的是开发一个将这些因素纳入考虑范围的系统模型。帐户。在本文中,我们专注于研究可最大化WD 802.11系统效率的PHY层设计参数。为此,在2x2多进多出(MIMO)TGn通道B模型下为WD网络制定了基本的理论模型。在路径增益,频谱密度,中断概率和分组错误率(PER)方面,将彻底检查设计级别的参数,例如输入符号率和天线间隔以及环境的影响。此后,提出了一种新颖的自适应算法来根据体验质量(QoE)为目标应用选择最佳参数。仿真结果表明,所提出的方法优于标准方法,从而以自适应的方式实现了最佳性能。

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