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

无线应用的激增增加了无线设备的密度。来自这些设备的信息承载信号会产生严重的聚合干扰，从而对无线局域网(WLAN)性能产生不利影响。非数据承载辐射信号也污染了未经许可频段中的WLAN空间。到目前为止，这种干扰问题基本上是以递增的、特定于应用的方式处理的。因此，有强烈的动机来彻底了解这种干扰现象，以改进无线局域网的设计，并最终使无线局域网适应动态地缓解干扰降级。这项工作的重点是：开发无线接收器以及有意和无意发射器的可量化干扰特性；建立一种了解和表征干扰温度的方法；以及使用这些关键信息来增强网络仿真工具的干扰和一般错误建模能力。这些目标是通过三管齐下的方法实现的：(1)在时间和频谱域中对干扰信号进行理论建模；(2)用于研究干扰对网络性能的影响的仿真建模，包括特定的协议、应用和干扰模型的验证；(3)物理实验以验证和增强理论和仿真结果，增强经验观测。该研究的广泛影响使技术团体能够更好地了解无线网络资源管理，从而带来显著的经济节约和性能改善。另一个重要影响是对美国政府通信政策的影响。加强了对这一领域学生的教育和培训。采用公开示威、座谈会和印刷/广播媒体来传播结果。

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.