无线共存控制干扰的研究

Anwar Hithnawi, Vaibhav Kulkarni, Su Li, Hossein Shafagh
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引用次数: 4

摘要

近年来,我们目睹了在无牌频带上运行的无线技术和设备的激增。由此产生的无线需求升级给可用频谱带来了巨大压力。这就提出了一套独特的通信挑战,特别是共存、交叉技术干扰(CTI)以及在高度不确定性和无干扰信道稀缺情况下的公平性。因此,我们迫切需要了解和调试现有无线协议和系统在各种干扰模式下的性能。因此,我们需要使用能够重复生成现实干扰模式的工具来增加测试平台。这将主要促进无线共存研究实验。现有无线设备和协议在未授权频段上的异构性使得干扰难以建模。与此同时,研究无线共存的研究人员通常使用各种无线电设备产生的干扰。由于缺乏一种系统的方法来控制这些设备,使得进行实验变得不方便,特别是在远程试验台。本文提出了一种用于无线网络的可控干扰发生器(CIG)框架。在CIG的设计中,我们考虑了一种统一的方法,该方法结合了精心选择的干扰技术(在软件中实现),以使网络暴露于现实的干扰模式。我们通过显示时域和频谱域的准确性,验证了CIG产生的干扰与所表示的RF设备产生的干扰的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlled Interference Generation for Wireless Coexistence Research
In recent years, we have witnessed a proliferation of wireless technologies and devices operating in the unlicensed bands. The resulting escalation of wireless demand has put enormous pressure on available spectrum. This raises a unique set of communication challenges, notably co-existence, Cross Technology Interference (CTI), and fairness amidst high uncertainty and scarcity of interference-free channels. Consequently, there is a strong need for understanding and debugging the performance of existing wireless protocols and systems under various patterns of interference. Therefore, we need to augment testbeds with tools that can enable repeatable generation of realistic interference patterns. This would primarily facilitate wireless coexistence research experimentation. The heterogeneity of the existing wireless devices and protocols operating in the unlicensed bands makes interference hard to model. Meanwhile, researchers working on wireless coexistence generally use interference generated from various radio appliances. The lack of a systematic way of controlling these appliances makes it inconvenient to run experiments, particularly in remote testbeds. In this paper, we present a Controlled Interference Generator (CIG) framework for wireless networks. In the design of CIG, we consider a unified approach that incorporates a careful selection of interferer technologies (implemented in software), to expose networks to realistic interference patterns. We validate the resemblance of interference generated by CIG and interference from represented RF devices, by showing the accuracy in temporal and spectral domains.
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