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

合作研究：SWIFT：大型：经纪人控制的 5G 无线人工智能功率放大器阵列 (AIPAA) 与无源天气辐射计的共存

• 批准号: 2030258
• 负责人: Albin Gasiewski
• 金额: $ 42.16万
• 依托单位: University of Colorado at Boulder
• 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: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030258&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; LARGE; Broker

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.

最近拍卖的24 GHz频段用于第五代(5G)无线通信应用，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，可能会淹没敏感的辐射计接收器，这些辐射计接收器测量水中的无线电辐射以进行天气预报。该项目的重点是在辐射计和5G发射机阵列之间设计一种由经纪人控制的协作方法，该阵列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。这款人工智能功率放大器阵列(AIPAA)将响应经纪人指令，最大化5G设备的传输范围，同时最大限度地减少指定方向和频率的发射，以避免干扰。这项研究将审查毫米波可重构电路的开发，在频谱代理的背景下AIPAA优化技术的设计，以及用于检查协作和优化技术的试验台的实施。这项研究解决了NSF SWIFT在有效频谱利用和/或共存方面的主要挑战，以及通过跨层设计创新发射器和接收器技术的挑战领域。这项研究将通过与美国国家标准研究所(ANSI)和国家标准与技术研究所(NIST)的合作，被整合到标准和监管过程中。此外，这项研究将通过当地高中访问计划、为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而产生广泛影响。最近拍卖的24 GHz频段用于第五代(5G)无线通信应用，涉及在23.6-24 GHz和50-58 GHz频段被动运行的天气预报员。研究了辐射计和5G发射机人工智能功率放大阵列(AIPAA)之间的代理控制协作方法的设计，该阵列具有可重构的功率放大器匹配网络，以允许24 GHz频段的有源5G发射机和23.6-24.0 GHz和50-58 GHz频段的被动辐射计共存。研究的具体智力和科学目标是：(1)设计并实现一种中介方法，该方法将为5G通信和被动天气辐射计系统之间的实时共享分配频谱、空间和时间资源；(2)设计能够快速实时优化和重新配置的毫米波可调阻抗匹配网络；(3)基于与中介系统的交互，为5G AIPAA发射机开发联合阵列和阻抗匹配实时优化算法，以与23.6-24 GHz和50-58 GHz天气辐射计共存，以及(4)使用带有放大器和可重构匹配网络的四单元毫米波阵列来演示辐射计系统和5G发射机之间的共存，使用中介方法来分配资源，并使用控制器来调整阵元激励和匹配网络。这项研究将通过以下具体举措产生广泛影响：(1)与美国国家标准研究所(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法规发展；(2)访问高中，演示和讨论无线和频谱工程问题和研究；(3)向与研究涉及的不同学科相关的研讨会和特别会议贡献成果；(4)将结果整合到贝勒、普渡和科罗拉多的课程中，以及(5)致力于研究和教育的多样性。这一奖项反映了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。