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，对无线系统（例如5G和Next-G）的需求越来越多，因此对频谱的需求也越来越大。在某些频段上，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，诸如在公民宽带无线电服务（CBRS）频带中使用的那些，已经是有效的。 然而，随着我们继续共享更多的频谱，其中存在复杂的频谱操作，特别是卫星频段，需要更复杂的共享和动态策略。这些频带中的频谱共享由于被动现任者、由于降雨和其他环境影响而衰落、无法移动现任者以及现任者的应用的经常关键的性质和高敏感性而更加复杂。 该项目提出创建一个整体的，多学科的，上下文感知的频谱共享方法，以解决卫星频段的宽带无线系统的频谱共存。这种方法将实现更有效的共享，允许5G及以后承诺的新应用，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。拟议的研究将产生以下关键技术创新：（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）用于上下文感知的动态频谱共享的优先化方法的实现;以及（3）干扰弹性上下文感知PHY层，以实现用户服务质量的鲁棒和无缝适配，以满足变化的上下文因素下的需求，以及最后（4）仿真和实验演示，以评估，验证，并使用各种框架特征和算法演示所提出的策略以及它们的实现。实验将使用弗吉尼亚理工大学的固定卫星服务设施在12 GHz频段进行。该奖项反映了NSF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.