NeTS-ProWIN: Wireless Interference: Characterization and Impact on Network Performance

无线应用的激增导致无线设备的密度增加。 来自这些设备的信息承载信号会产生严重的聚合干扰，对无线局域网（WLAN）性能产生不利影响。 非数据承载辐射信号也污染未许可频带中的WLAN的空间。 到目前为止，这种干扰问题在很大程度上是以增量的、特定于应用的方式来处理的。 因此，有强烈的动机，以彻底了解这种干扰现象，以改善无线局域网的设计，并最终适应无线局域网，以动态地减轻干扰恶化。以及使用该关键信息来增强网络仿真工具的干扰和一般误差建模能力。 这些目标是通过三管齐下的方法来实现的：（1）在时域和频谱域中干扰信号的理论建模;（2）用于研究干扰对网络性能的影响的仿真建模，包括特定协议、应用和干扰模型的验证;（3）进行物理实验，验证和增强理论和模拟结果，这项研究的广泛影响使技术界能够更好地理解无线网络资源管理，从而实现显著的经济节约和性能改进。 另一个重要影响是美国政府的通信政策。 加强了对学生在这一领域的教育和培训。 公众示威、研讨会和印刷/广播媒体被用来传播成果。

The proliferation of wireless applications creates an increased density of wireless devices. Information-bearing signals from these devices generate significant aggregate interference that adversely affects Wireless Local Area Network (WLAN) performance. Non-data bearing radiated signals also contaminate the space of WLANs in unlicensed bands. To date, this interference problem has largely been treated in an incremental, application specific manner. Thus, there is strong motivation to thoroughly understand this interference phenomenon to improve WLAN design, and ultimately adapt WLANs to dynamically mitigate interference degradation.This effort focuses on: the development of quantifiable interference characteristics of wireless receivers and, intentional and unintentional transmitters; the establishment of a means of understanding and characterizing interference temperature; and the use of this critical information to enhance interference and general error-modeling capabilities of network simulation tools. These objectives are achieved via a three-prong methodology: (1) theoretical modeling of interfering signals in temporal and spectral domains; (2) simulation modeling for studying the impact of interference on network performance including specific protocols, applications, and validation of interference models; (3) physical experimentation to verify and enhance theoretical and simulation results, augmenting empirical observations.The broad impact of this research allows the technical community to better understand wireless network resource management, leading to significant economic savings and performance improvements. Another important impact is on U.S. government communications policy. Education and training of students in this field is enhanced. Public demonstrations, symposia, and print/broadcast media are employed to disseminate results.