Collaborative Research: SWIFT: Context-aware Spectrum Coexistence dEsign aNd implemenTation in satellite bands (ASCENT)

合作研究：SWIFT：卫星频段的上下文感知频谱共存设计和实施 (ASCENT)

基本信息

批准号：
2128584
负责人：
Carl Dietrich
金额：
$ 56.25万
依托单位：
Virginia Polytechnic Institute and State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-10-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128584&HistoricalAwards=false
关键词：
Collaborative Research SWIFT Context aware

项目摘要

Radio spectrum is the raw material of the modern connected economy. Today, all usable spectrum is assigned for one purpose or another. However, there is more and more demand for wireless systems, such as 5G and Next-G, and thus more demand for the spectrum. In some bands, existing spectrum users share their spectrum with other users when they are not using it. This is the concept of dynamic spectrum sharing. Legacy spectrum sharing techniques, such as those used in the Citizen Broadband Radio Service (CBRS) band, have been effective. However, as we proceed to share even more spectrum where there are complex spectrum operations, especially satellite bands, more sophisticated sharing and dynamic policies are needed. Spectrum sharing in these bands is more complex due to passive incumbents, fades due to rainfall and other environmental effects, the inability to move incumbents, and the often-critical nature and high sensitivity of the incumbent's application. This project proposes to create a holistic, multi-disciplinary, context-aware spectrum sharing approach to address the spectrum coexistence of broadband wireless systems in satellite bands. Such an approach will enable more effective sharing, allowing the new applications promised by 5G and Beyond, while at the same time providing more protection for legacy applications such as satellite communication, weather forecasting, positioning, and radio astronomy.The proposed research will result in following key technical innovations: (1) context-aware spectrum sharing and interference analysis tools for developing policy recommendations; (2) an implementation of a prioritization approach for context-aware dynamic spectrum sharing; and (3) an interference-resilient context-aware PHY layer to enable robust and seamless adaptation of user quality of service to meet the demands under varying contextual factors, and finally (4) simulation and experimental demonstrations, to assess, validate, and demonstrate proposed policies as well as their implementation using various framework features and algorithms. Experimentation will occur in the 12 GHz band using Virginia Tech’s Fixed Satellite Service facility.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.

无线电频谱是现代互联经济的原材料。如今，所有可用频谱都是为一个或另一个目的分配的。但是，对5G和Next-G等无线系统的需求越来越多，因此对频谱的需求更多。在某些频段中，现有的频谱用户在不使用其他用户时与其他用户共享频谱。这是动态频谱共享的概念。传统频谱共享技术，例如公民宽带无线电服务（CBRS）频段中使用的技术，这是有效的。但是，随着我们开始共享更多的频谱，需要进行复杂的频谱操作，尤其是卫星带，需要更复杂的共享和动态策略。这些乐队中的频谱共享由于被动的现有人，由于降雨和其他环境影响而淡出，无法移动现有企业以及现有企业的应用通常至关重要的性质和高灵敏度，因此频谱共享更为复杂。该项目的建议是创建整体，多学科的，上下文感知的频谱共享方法，以解决卫星频段中宽带无线系统的频谱共存。这种方法将使更有效的共享，允许5G及以后承诺的新应用程序，同时为诸如卫星通信，天气预报，定位，定位和射电天文学等遗产应用程序提供更多保护。拟议的研究将导致关键的技术创新：（1）（1）上下文范围的谱图分享和干扰分析和干扰分析工具为制定策略推荐推广；（2）实施对上下文感知动态频谱共享的优先级方法；（3）一种干涉弹性的上下文感知的PHY层，以实现用户服务质量的鲁棒和无缝适应，以满足不同的上下文因素下的需求，最后（4）（4）模拟和实验示范，以评估，验证和证明所提出的策略以及使用各种框架特征和Algorithms实施。实验将在12 GHz乐队中使用弗吉尼亚理工大学的固定卫星服务设施进行。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响标准，被视为通过评估而被视为珍贵的支持。