Collaborative Research: SWIFT: LARGE: Broker-Controlled Coexistence of 5G Wireless Artificially Intelligent Power Amplifier Array (AIPAA) with Passive Weather Radiometers

最近拍卖的第五代（5G）无线通信应用使用的24 GHz频段涉及在23.6-24 GHz和50-58 GHz频段操作辐射计的天气预报员。5G无线发射机可能会产生不必要的干扰信号，这些干扰信号可能会淹没敏感的辐射计接收器，这些辐射计接收器用于测量天气预报中水中的无线电发射。该项目侧重于在辐射计和5G发射机阵列之间设计一种代理控制的协作方法，该方法能够重新配置其放大器设备，以便在不干扰附近辐射计的情况下成功传输。这种人工智能功率放大器阵列（AIPAA）将响应代理指令，以最大限度地提高5G设备的传输范围，同时最大限度地减少特定方向和频率的发射，以避免干扰。该研究将研究毫米波可重构电路的发展，频谱代理环境下AIPAA优化技术的设计，以及用于检查协作和优化技术的测试平台的实现。本研究解决了NSF SWIFT关于有效频谱利用和/或共存的主要挑战，以及通过跨层设计创新发射机和接收机技术的挑战领域。该研究将通过与美国国家标准协会（ANSI）和国家标准与技术研究所（NIST）的合作，整合到标准和监管过程中。此外，该研究将通过当地高中访问计划、向研讨会和会议特别会议贡献成果、将成果整合到贝勒大学、普渡大学和科罗拉多大学的课程中，以及致力于研究和教育的多样性，产生广泛的影响。最近拍卖的用于第五代（5G）无线通信应用的24 GHz频段涉及在23.6-24 GHz和50-58 GHz频段被动运行的天气预报员。研究了具有可重构功率放大器匹配网络的人工智能功率放大器阵列（AIPAA）与辐射计之间的代理控制协作方法的设计，以允许24 GHz频段的主动5G发射机与23.6-24.0 GHz和50-58 GHz频段的被动辐射计共存。该研究的具体智力和科学目标是：(1)设计并实施一种代理方法，该方法将分配频谱、空间和时间资源，以便在5G通信和无源气象辐射计系统之间实时共享；(2)设计一种毫米波可调谐阻抗匹配网络，能够快速实时优化和重新配置；(3)基于与代理系统的交互，开发基于23.6-24 GHz和50-58 GHz气象辐射计共存的5G AIPAA发射机联合阵列和阻抗匹配实时优化算法；(4)利用带放大器和可重构匹配网络的四元毫米波阵列，演示辐射计系统与5G发射机共存。利用代理方法分配资源，利用控制器调节阵列元素激励和匹配网络。这项研究将通过以下具体举措产生广泛影响：(1)与美国国家标准协会（ANSI）和国家标准与技术研究所（NIST）合作，以确保研究能够实现有用的标准和监管发展；(2)访问高中，展示和讨论无线和频谱工程问题和研究；(3)在与研究涉及的不同学科相关的研讨会和特别会议上贡献成果；(4)贝勒大学、普渡大学和科罗拉多大学将研究成果整合到课程中；(5)致力于研究和教育的多样性。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。

The recent auction of the 24 GHz frequency band for use by fifth-generation (5G) wireless communications applications concerns weather forecasters operating radiometers in the 23.6-24 GHz and 50-58 GHz bands. 5G wireless transmitters can produce unwanted interference signals that can overwhelm sensitive radiometer receivers that measure radio emissions from water for weather forecasting. This project focuses on the design of a broker-controlled collaborative approach between the radiometers and a 5G transmitter array capable of reconfiguring its amplifier devices to allow successful transmission without interfering with nearby radiometers. This Artificially Intelligent Power Amplifier Array (AIPAA) will respond to broker instructions to maximize the 5G device transmission range while minimizing emissions in specified directions and frequencies to avoid interference. The research will examine the development of millimeter-wave reconfigurable circuitry, the design of AIPAA optimization techniques in the context of a spectral broker, and the implementation of a test bed for examining collaboration and optimization techniques. This research addresses the NSF SWIFT primary challenge of Effective Spectrum Utilization and/or Coexistence, in addition to the challenge area of Innovative Transmitter and Receiver Technologies through Cross-Layer Design. The research will be integrated into standards and regulatory processes through collaboration with the American National Standards Institute (ANSI) and the National Institute of Standards and Technology (NIST). Additionally, the research will have a broad impact through a local high school visitation program, contribution of results to workshops and special sessions at conferences, integration of results into courses at Baylor University, Purdue University, and the University of Colorado, and a commitment to diversity in research and education. The recent auction of the 24 GHz frequency band for use by fifth-generation (5G) wireless communications applications concerns weather forecasters operating passively in the 23.6-24 GHz and 50-58 GHz bands. The design of a broker-controlled collaborative approach between the radiometers and a 5G transmitter artificially intelligent power amplifier array (AIPAA) with reconfigurable power-amplifier matching networks is examined to allow coexistence between active 5G transmitters in the 24 GHz band and passive radiometers in the 23.6-24.0 GHz and 50-58 GHz bands. Specific intellectual and scientific aims of the research are to (1) devise and implement a brokering approach that will assign spectral, spatial, and temporal resources for sharing between 5G communications and passive weather radiometer systems in real time, (2) design a millimeter-wave tunable impedance matching network capable of fast real-time optimization and reconfiguration, (3) develop joint array and impedance matching real-time optimization algorithms for 5G AIPAA transmitters based on interaction with the brokering system for coexistence with 23.6-24 GHz and 50-58 GHz weather radiometers, and (4) demonstrate coexistence between a radiometer system and a 5G transmitter using a four-element mm-wave array with amplifiers and reconfigurable matching networks, using the brokering approach to assign resources and a controller to adjust the array element excitations and matching networks. The research will provide a broad impact through the following specific initiatives: (1) collaboration with American National Standards Institute (ANSI) and National Institute of Standards and Technology (NIST) to ensure the research enables useful standards and regulatory developments, (2) visits to high schools to demonstrate and discuss wireless and spectrum engineering issues and research, (3) contribution of results to workshops and special sessions at conferences related to the different disciplines involved in the research, (4) integration of results into courses at Baylor, Purdue, and Colorado, and (5) commitment to diversity in research and education.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.