SII Planning: Identifying issues, opportunities, and challenges of emerging wireless spectrum innovations

该奖项是对频谱创新计划：国家无线频谱研究中心(SII-Center)的规划拨款。频谱研究SII-Center的重点超越了5G、物联网和其他现有或即将到来的系统和技术，以绘制出一条轨迹，通过有效使用和共享无线电频谱，确保美国在未来无线技术、系统和科学和工程应用方面的领先地位。对无线系统的需求呈指数级增长，需要探索未来的影响。需要定义新出现的问题、机遇和挑战，以利用高度宝贵的频谱，定义重要的和潜在的突破性研究议程和新技术，以应对新的挑战，实现安全、可靠和可靠的移动网络世界。由加州大学圣地亚哥分校领导，组建的团队成员包括来自俄克拉荷马大学、斯坦福大学、威斯康星大学、纽约大学、休斯研究实验室、喷气推进实验室、Keysight Technologies、高通、麻省理工学院、林肯实验室、共享频谱公司、Verizon和谷歌的团队成员。该团队将探索的关键领域包括科学用户、空中交通管理、通信、雷达、广域无线电频率传感(包括低地球轨道(LEO)星座)、无线电层创新(重点是围绕小蜂窝的机器学习和联网)、6G和THz频段系统的实施方面以及政策。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 award is a planning grant for the Spectrum Innovation Initiative: National Center for Wireless Spectrum Research (SII-Center). The focus of a spectrum research SII-Center goes beyond 5G, IoT, and other existing or forthcoming systems and technologies to chart out a trajectory to ensure United States leadership in future wireless technologies, systems, and applications in science and engineering through the efficient use and sharing of the radio spectrum. The need for wireless systems is exponentially growing, and future implications need to be explored. Emerging issues, opportunities and challenges for use of highly valuable spectrum and the definition of important and potential breakthrough research agendas and new technologies need to be defined to meet new challenges and achieve a safe, secure, and reliable mobile networked world. Led by the University of California, San Diego, the assembled team includes team members from the University of Oklahoma, Stanford University, the University of Wisconsin, New York University, Hughes Research Laboratory, the Jet Propulsion Laboratory, Keysight Technologies, Qualcomm, MIT, Lincoln Laboratory, Shared Spectrum Company, Verizon, and Google. Key areas the team will explore include science users, air traffic management, communications, radars, wide area radio frequency sensing including low-Earth orbit (LEO) constellations, radio layer innovations with particular emphases on machine learning and networking around small cells, implementation aspects of 6G and THz band systems, and policy.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.