NeTS: ProWiN: Wireless Spectral Interference and its Impact on Dynamic Network Connectivity

dennis Roberson，伊利诺伊理工学院摘要无线设备和辐射源密度的增加产生了显著的综合干扰，对网络性能产生不利影响。人们有强烈的动机彻底了解干扰现象，并自适应地调整无线网络以减轻其影响。这项研究的目的是编纂在2.4 GHz（也可能是5 GHz）未授权频段产生电磁干扰的几种设备的发射。采用三管齐下的方法：(1)建立时域和谱域干扰信号的理论模型；(2)通过计算机仿真对干扰模型进行验证；(3)物理实验，以验证和提高先前结果的准确性，从而增加实验工作。对于所考虑的器件，干扰温度被确定为结果。测量了无线网络吞吐量的聚合效应，并将其与干扰温度联系起来。这些结果表明，可以开发技术来改善网络连接。时间、空间和频谱尺度可以有利地用于自适应算法，以平坦干扰和协助发展底层网络，如超宽带。这项研究将产生广泛的影响，并使技术社区能够更好地了解如何使用可用的网络资源。网络性能的改进可以为无线行业节省大量成本。这将对美国政府的沟通政策产生重要影响。本研究将有助于加强研究生和本科生的教育与培养。研究结果将通过公开演示、专题讨论会、研讨会和出版物进行传播。

NeTS: ProWiN: Wireless Spectral Interference and its Impact on Dynamic Network ConnectivityAward 0435389Dennis Roberson, Illinois Institute Of TechnologyAbstractThe increasing density of wireless devices and radiating sources generates significant aggregate interference adversely affecting network performance. There is a strong motivation to thoroughly understand the interference phenomenon and adaptively adjust a wireless network to mitigate its effect. The research objective is to codify the emission from several devices that produce electromagnetic interference in the 2.4 GHz (and potentially 5 GHz) unlicensed band.A three-prong methodology is employed: (1) development of a theoretical model of the interfering signal in the temporal and spectral domains; (2) the validation of the interference model via computer simulation; (3) physical experimentation to verify and enhance the accuracy of the previous results, which in turn augment the experimental work.For the devices considered, the interference temperature is determined as an outcome. The aggregate effect on wireless network throughput is measured and related to the interference temperature. These results suggest that techniques can be developed to improve network connectivity. Temporal, spatial, and spectral scales can be advantageously used in adaptive algorithms to flatten interference and assist in the development of underlay networks, such as ultrawideband.This research will have broad impact and allow the technical community to better understand how to use the available network resources. Network performance improvement can result in significant cost saving to the wireless industry. An important impact will be on U.S. government communication policy. The education and training of graduate and undergraduate students will be enhanced by this research. The results will be disseminated via public demonstrations, symposia, seminars, and publications.