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

基本信息

  • 批准号:
    2030243
  • 负责人:
  • 金额:
    $ 42.17万
  • 依托单位:
  • 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

项目摘要

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频段供第五代(5G)无线通信应用使用,涉及天气预报员在23.6-24 GHz和50-58 GHz频段操作辐射计。 5G无线发射器可能会产生不必要的干扰信号,这些信号可能会压倒敏感的辐射计接收器,这些接收器测量水的无线电发射以进行天气预报。 该项目的重点是设计辐射计和5G发射机阵列之间的经纪人控制的协作方法,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。 这种智能功率放大器阵列(AIPAA)将响应经纪人的指令,最大限度地扩大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辐射,以避免干扰。 该研究将研究毫米波可重构电路的开发,频谱代理背景下的AIPAA优化技术的设计,以及用于研究协作和优化技术的测试床的实施。 这项研究解决了NSF SWIFT的主要挑战,即有效的频谱利用和/或共存,以及通过跨层设计创新的发射机和接收机技术。 该研究将通过与美国国家标准协会(ANSI)和美国国家标准与技术研究所(NIST)的合作,整合到标准和监管流程中。 此外,该研究将通过当地高中访问计划,结果的贡献研讨会和特别会议在会议上,结果整合到贝勒大学,普渡大学和科罗拉多大学的课程,并致力于研究和教育的多样性产生广泛的影响。 最近由第五代(5G)无线通信应用使用的24 GHz频带的拍卖涉及在23.6-24 GHz和50-58 GHz频带中被动操作的天气预报员。 研究了辐射计和具有可重构功率放大器匹配网络的5G发射机人工智能功率放大器阵列(AIPAA)之间的代理控制协作方法的设计,以允许24 GHz频段的有源5G发射机与23.6-24.0 GHz和50-58 GHz频段的无源辐射计之间的共存。 该研究的具体智力和科学目标是(1)设计和实施一种中介方法,该方法将分配频谱,空间和时间资源,以便在5G通信和被动天气辐射计系统之间进行真实的实时共享,(2)设计一种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)基于与代理系统的交互,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气象辐射计共存,以及(4)使用具有放大器和可重新配置的匹配网络的四元件mm波阵列来证明辐射计系统和5G发射器之间的共存,使用代理方法来分配资源,以及使用控制器来调整阵列元件激励和匹配网络。 该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,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)将研究结果提供给与研究所涉及的不同学科有关的研讨会和会议的特别会议;(4)将研究结果纳入贝勒大学、普渡大学和科罗拉多大学的课程;以及(5)致力于研究和教育的多样性。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的知识产权评估的支持。优点和更广泛的影响审查标准。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Spectrum Sharing Policy for a Cooperative Brokering System
合作经纪系统的频谱共享策略
Solving the 5G Crisis: Enabling Coexistence with Crucial Safety Systems through Adaptivity and Reconfigurability
In-Situ Assessment of Array Antenna Currents for Real-Time Impedance Tuning
用于实时阻抗调谐的阵列天线电流的现场评估
Adaptive and Reconfigurable Collaboration between Aircraft Wireless Systems and Wireless Communications
飞机无线系统和无线通信之间的自适应和可重构协作
In Situ RF Current Assessment for Array Transmission and Optimization
用于阵列传输和优化的原位射频电流评估
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Charles Baylis其他文献

Accurate simulation models yield high-efficiency power amplifier design
准确的仿真模型可实现高效功率放大器设计
  • DOI:
    10.1109/mmw.2005.1580351
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Sonoko Akamatsu;Charles Baylis;Lawrence Dunleavy
  • 通讯作者:
    Lawrence Dunleavy

Charles Baylis的其他文献

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{{ truncateString('Charles Baylis', 18)}}的其他基金

Conference: Undergraduate Spectrum Workshop
会议:本科生光谱研讨会
  • 批准号:
    2240960
  • 财政年份:
    2022
  • 资助金额:
    $ 42.17万
  • 项目类别:
    Standard Grant
SII Planning: Developing a National Spectrum Innovation Initiative (SII) Center for Adaptive and Reconfigurable Wireless Technology
SII 规划:建立自适应和可重构无线技术国家频谱创新计划 (SII) 中心
  • 批准号:
    2037850
  • 财政年份:
    2020
  • 资助金额:
    $ 42.17万
  • 项目类别:
    Standard Grant
EARS: Joint Circuit and Waveform Optimization for Cognitive, Spectrally Confined Radar Transmission
EARS:认知、光谱受限雷达传输的联合电路和波形优化
  • 批准号:
    1343316
  • 财政年份:
    2013
  • 资助金额:
    $ 42.17万
  • 项目类别:
    Standard Grant

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