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SWIFT-SAT: Software Defined Radio based Emulation of SAT-Terrestrial Network Coexistence in "FR3" Bands

SWIFT-SAT: Software Defined Radio based Emulation of SAT-Terrestrial Network Coexistence in "FR3" Bands
SWIFT-SAT:“FR3”频段中基于软件定义无线电的 SAT 与地面网络共存仿真
批准号:
2332637
负责人:
Narayan Mandayam
金额:
$75.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-10-01 至 2026-09-30

项目摘要

项目成果

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中文摘要
翻译
7.125 GHz和24 GHz之间的无线电频段,被称为频率范围3 (FR3),对于下一代蜂窝系统来说是有希望的。该项目创建了一个空中室内FR3测试平台,用于地面和卫星系统共存的实验研究,使用软件定义无线电(SDR)模拟密集的5G蜂窝网络和卫星设备。FR3测试平台是Rutgers University WINLAB现有测试平台COSMOS沙盒的扩展,并且是其他研究人员远程访问的开放资源。该项目使用FR3测试平台研究支持地面卫星共存的技术,包括用于无线电资源管理、干扰识别和缓解的机器学习。试验台进行的实验研究是对更广泛进行的建模和分析研究的重要补充,有助于更好地决定如何在新的蜂窝系统、现有的主动传输商业卫星(如数字广播)和现有的被动观测科学卫星(如天气预报)之间共享FR3,而不对卫星造成有害干扰。此外,该项目在多个层面上吸引学生,利用WINLAB和罗格斯大学的广泛推广能力。项目重点实现12.2-12.7 GHz频段地面5G与有源商业卫星频谱共享,10.6-10.7 GHz频段地面5G与无源科学卫星相邻频段共存。软件和硬件的设计模拟了目标频段的5G无线网络、商业卫星收发器和无源辐射计。利用超材料软件定义波束形成技术模拟与非地球静止轨道固定卫星业务(NGSO-FSS)等卫星的共存,利用AMSR-E和AMSR2在轨传感器数据集进行冷热校准和对比,提高辐射计干扰实验的可靠性和真实感。有三个重点:(1)设计、验证和部署基于FR3 sdr的外差器件,5G新无线电(NR)和SAT波形仿真,以及共存仿真方法;(2)通过仿真实验,开发集中式机器学习算法,实现地面5G与现役商业卫星共享的综合无线电资源管理;(3)利用仿真实验评估辐射计对地面5G干扰的灵敏度,并开发用于被动科学卫星识别和减缓干扰的机器学习算法。推力2和推力3工作的一个结果是测量分配给地面5G蜂窝系统的频谱比例,这些频谱由于用于减轻对卫星干扰的策略而“丢失”。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。
英文摘要
The radio frequency band between 7.125 GHz and 24 GHz, known as Frequency Range 3 (FR3), is promising for next generation cellular systems. This project creates an over-the-air indoor FR3 testbed for experimental studies of coexistence between terrestrial and satellite systems, using software-defined radios (SDR) to emulate dense 5G cellular networks and satellite equipment. The FR3 testbed is an extension of an existing testbed, the COSMOS sandbox at Rutgers University WINLAB, and is an open resource remotely accessible to other researchers. This project uses the FR3 testbed to investigate technologies supporting terrestrial-satellite coexistence, including Machine Learning for radio resource management, interference identification and mitigation. Experimental studies enabled by the testbed are important as a complement to more widely performed modeling and analysis studies, to help make better decisions about how to share FR3 between new cellular systems, existing actively transmitting commercial satellites (e.g. digital broadcast) and existing passively observing scientific satellites (e.g. weather forecasting) without harmful interference to the satellites. Additionally, the project engages students at multiple levels, leveraging the broad outreach capabilities of WINLAB and Rutgers.The project focuses on spectrum sharing between terrestrial 5G and active commercial satellites in the 12.2-12.7 GHz band, and adjacent band coexistence between terrestrial 5G at 10-10.5 GHz and passive scientific satellites in the 10.6-10.7 GHz band. Software and hardware are designed that emulate 5G radio networks, commercial satellite transceivers, and passive radiometers in the targeted frequency bands. Metamaterial software-defined beamforming is used to emulate coexistence with satellites like non-geostationary orbit fixed satellite service (NGSO-FSS), and hot-cold calibration and comparison to datasets from on-orbit AMSR-E and AMSR2 sensors is used to enhance the reliability and realism of radiometer interference experiments. There are three thrusts: (1) design, validate and deploy FR3 SDR-based heterodyne devices, emulation of 5G New Radio (NR) and SAT waveforms, and coexistence emulation methods; (2) use emulation experiments to develop centralized Machine Learning algorithms for integrated radio resource management in sharing between terrestrial 5G and active commercial satellites; and (3) use emulation experiments to assess radiometer sensitivity to terrestrial 5G interference and to develop Machine Learning algorithms for interference identification and mitigation by passive scientific satellites. One outcome of the work in thrust 2 and thrust 3 is a measurement of the fraction of spectrum assigned to the terrestrial 5G cellular system that is "lost" due to the strategies used to mitigate interference to satellites.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.
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