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

无线电频谱是现代互联经济的原材料。今天，所有可用的频谱都被分配用于这样或那样的目的。然而，对5G和Next-G等无线系统的需求越来越大，因此对频谱的需求也越来越大。在某些频段，现有频谱用户在不使用频谱时与其他用户共享频谱。这就是动态频谱共享的概念。传统的频谱共享技术，例如在公民宽带无线电业务（CBRS）频段中使用的技术，是有效的。然而，在频谱操作复杂的地方，特别是卫星频段，随着我们继续共享更多的频谱，需要更复杂的共享和动态策略。由于被动在位者、降雨和其他环境影响、无法移动在位者以及在位者应用的关键性质和高灵敏度，这些频段的频谱共享更加复杂。该项目提出创建一个整体的、多学科的、环境感知的频谱共享方法，以解决卫星频段宽带无线系统的频谱共存问题。这种方法将实现更有效的共享，允许5G及以后的新应用，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。拟议的研究将导致以下关键技术创新：(1)用于制定政策建议的情境感知频谱共享和干扰分析工具；(2)一种上下文感知动态频谱共享的优先排序方法的实现；(3)具有干扰弹性的上下文感知物理层，以实现用户服务质量的鲁棒性和无缝适应，以满足不同上下文因素下的需求；最后(4)仿真和实验演示，以评估、验证和演示拟议的策略以及使用各种框架特征和算法的实施。实验将在12ghz频段使用弗吉尼亚理工大学的固定卫星服务设施进行。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.