Collaborative Research: SII-NRDZ:Spectrum Sharing via Consumption Models and Telemetry - Prototyping and Field Testing in an Urban FCC Innovation Zone

该项目研究使用自动频谱管理系统共享电磁(无线电频率)频谱的方法，该系统有可能比目前的静态分配做法获得数量级的收益。该项目为通信、主动和被动科学用途等不同服务内部和之间共享频谱的管理系统提供了原型。该项目涉及纽约市西哈莱姆区的两个设施：(I)由NSF高级无线研究平台(PAWR)计划赞助的COSMOS试验台和(Ii)由NOAA赞助的地球系统科学和遥感技术合作科学中心(NOAA-CESSRST)。这两个设施位于FCC为促进研究和测试而创建的创新区内。该项目利用各设施现有的系统进行频谱共享试验，可能包括：使用28 GHz天气测量辐射计的通信--无源共享；使用1.7 GHz或7.7-8.2 GHz环境遥感卫星地面站接收器碟形天线的地面-卫星通信共享；使用9.5 GHz天气监测雷达的通信-雷达共享；以及使用未经许可的5G蜂窝和WiFi网络6 GHz的通信--共享。纽约市密集的城市环境是频谱共享的一个压力案例。在城市试验床上使用这些场景验证的技术预计将在其他城市以及密度较低的环境中运行良好。增强频谱共享将增加有限可用频谱中可支持的无线活动量。通过这种方式，该项目有助于维持未来的经济增长、社会效益和科学发现，这些发现受到日益严重的频谱拥堵的威胁。除了研究和原型任务，该项目还包括与利益相关者的接触，通过罗格斯大学WINLAB已建立的暑期计划对教育的影响，以及在已建立的教师计划的基础上与当地哈莱姆社区建立联系。要建立原型的自动化系统被称为围绕这两个设施建立的无线电动态区的区域管理系统(ZMS)。ZMS代表了一种新的频谱管理方法，它结合了标准化的基本信息模型、测量辅助决策、可扩展的频谱感知以及持续的风险分析和管理。ZMS的基本信息模型是频谱消耗模型(SCM)，最近被标准化为IEEE 1900.5.2。SCM捕获无线系统的发射和接收频谱使用边界，因此可以通过高效和标准化的计算方法来仲裁它们的兼容性(即，无干扰)。该项目开发了有效地生成SCM并将其用于大规模ZMS的技术。该项目开发了使用SCM和测量反馈的频谱共享和干扰管理算法，以实现高频谱效率、低处理复杂性和通信开销以及可扩展性。该项目还为密集环境中的频谱感知开发了一个自适应可扩展框架。调整由风险分析子系统控制，该子系统将监控资源集中在最有可能造成干扰的设备和情况上，并快速检测恶意行为者。ZMS通过模拟和在COSMOS和NOAA-CESSRST的真实世界实验进行评估。ZMS被设想为无线电动态区更广泛概念的探路者原型。该项目降低了潜在的未来国家无线电动态区的风险，并为其贡献了技术。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project investigates ways to share the electromagnetic (radio-frequency) spectrum using an automatic spectrum management system with the potential for order-of-magnitude gains over current static allocation practices. The project prototypes a management system for spectrum sharing within and among disparate services such as communications and active and passive scientific uses. The project involves two facilities in West Harlem, New York City: (i) the COSMOS testbed sponsored by the NSF Platforms for Advanced Wireless Research (PAWR) program and (ii) the Cooperative Science Center for Earth System Science and Remote Sensing Technologies sponsored by NOAA (NOAA-CESSRST). The two facilities are in an Innovation Zone created by the FCC to facilitate research and testing. The project uses systems available at the facilities for spectrum sharing experiments, potentially including: communications-passive sharing using a weather measurement radiometer at 28 GHz; terrestrial-satellite communications sharing using an environmental sensing satellite earth station receiver dish at 1.7 GHz or 7.7-8.2 GHz; communications-radar sharing using a weather monitoring radar at 9.5 GHz; and communications-communications sharing using unlicensed 5G cellular and WiFi networks at 6 GHz. The New York City dense urban environment is a stressful case for spectrum sharing. Techniques validated using these scenarios in an urban testbed are expected to function well in other cities as well as in less-dense environments. Enhancing spectrum sharing will increase the amount of wireless activity that can be supported in the limited available spectrum. In this way, the project helps sustain future economic growth, social benefits, and scientific discoveries that are threatened by growing spectrum congestion. In addition to the research and prototyping tasks, the project includes outreach to stakeholders, impact on education via an established Rutgers WINLAB summer program, and outreach to the local Harlem community building on an established program for teachers.The automatic system to be prototyped is called the Zone Management System (ZMS) of a Radio Dynamic Zone to be established around the two facilities. The ZMS represents a new spectrum management approach that combines a standardized fundamental information model, measurement-assisted decision making, scalable spectrum sensing, and continuous risk analysis and management. The fundamental information model of the ZMS is Spectrum Consumption Models (SCMs), recently standardized as IEEE 1900.5.2. SCMs capture the transmission and reception spectrum use boundaries of wireless systems so their compatibility (i.e., non-interference) can be arbitrated by efficient and standardized computational methods. This project develops techniques for efficiently generating SCMs and using them in a large-scale ZMS. The project develops spectrum sharing and interference management algorithms that use SCMs and measurement feedback to achieve high spectrum efficiency, low processing complexity and communication overhead, and scalability. The project also develops an adaptive scalable framework for spectrum sensing in a dense environment. The adaptation is controlled by a risk analysis subsystem that focuses monitoring resources on devices and situations most likely to cause interference, and to rapidly detect malicious actors. The ZMS is evaluated via simulations and via real-world experimentation at COSMOS and NOAA-CESSRST. The ZMS is envisioned as a pathfinder prototype for the broader concept of Radio Dynamic Zones. The project reduces risk for and contributes technology towards a potential future National Radio Dynamic Zone.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.