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，所有可用频谱都被分配用于某种目的，但是，对 5G 和 Next-G 等无线系统的需求越来越大，因此对无线系统的需求也越来越大。在某些频段中，现有频谱用户在不使用频谱时与其他用户共享频谱，这就是传统频谱共享技术的概念，例如公民宽带无线电服务 (CBRS) 中使用的技术。然而，当我们继续进行时，它是有效的。在存在复杂频谱操作的情况下共享更多频谱，特别是卫星频段，由于被动现有设备、降雨和其他环境影响导致的衰落以及无法移动，因此需要更复杂的共享和动态政策。该项目建议创建一种整体的、多学科的、环境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问题。将能够更有效地共享，允许 5G 及其他技术承诺的新应用，同时为卫星通信、天气预报、定位和射电天文学等传统应用提供更多保护。拟议的研究将带来以下关键技术创新：（1 ) 用于制定政策建议的上下文感知频谱共享和干扰分析工具；(2) 实施上下文感知动态频谱共享的优先级方法；以及 (3) 抗干扰上下文感知 PHY 层，以实现稳健和无缝用户的适应服务质量，以满足不同背景因素下的需求，最后 (4) 模拟和实验演示，以评估、验证和演示所提出的策略及其使用各种框架功能和算法的实现。实验将在 12 GHz 中进行。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。