PAWR Platform POWDER-RENEW: A Platform for Open Wireless Data-driven Experimental Research with Massive MIMO Capabilities

PAWR 平台 POWDER-RENEW：具有大规模 MIMO 功能的开放式无线数据驱动实验研究平台

• 批准号: 1827940
• 负责人: Tommaso Melodia
• 金额: $ 1752.99万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827940&HistoricalAwards=false
• 关键词: PAWR; Platform; POWDER; RENEW; Open

This project creates a city-scale platform for advanced wireless research that will be deployed over the period 2018 - 2023 in Salt Lake City, Utah. This Platform for Open Wireless Data-driven Experimental Research (POWDER) supports at-scale experimentation of novel advanced wireless broadband and communication technologies in the sub-6 GHz band. The project features interactions with regional networks encompassing initiatives on public transportation, broadband delivery, education and health service delivery as well as advancement of science, technology and research by creating an ecosystem of a hundred small companies in allied technical domains. The ability to use this platform by early adopter companies/startups and application developers to evaluate technologies in their pre-commercial phase will have a significant positive impact on the speed of innovation in the data networking and application domains. This effort will also benefit educators and students at all levels of study in communications-related disciplines. A key feature of the platform is the partnership with the Reconfigurable Eco-system for Next-generation End-to-end Wireless (RENEW) project at Rice University to develop a highly programmable and flexible massive multi-input multi-output (MIMO) platform that is an essential feature of both 5G and beyond-5G wireless networks. The platform will feature (i) heterogeneous systems composed of programmable base stations, mobile devices and static sensors; (ii) state of the art massive MIMO base-stations; (iii) ability to conduct research over a diverse spectrum range (from 50 MHz to 3.8 GHz), and (iv) a large-scale software defined wireless networking testbed integrated with an existing NSF-funded cloud testbed, thereby enabling end-to-end experimentation. Another unique aspect of the platform is support for wireless mobility-based studies, provided by using couriers with predictable movement patterns (e.g., buses), less predictable but bounded mobility (e.g., maintenance vehicles), and controllable couriers (e.g., on-site volunteers). Each of these deployed units will consist of "base" functionality that includes user-programmable software defined radios, "bring your own device" (BYOD) experiments, and will be connected via a sophisticated platform control framework. Existing fiber links will connect the wireless base stations to about half a dozen edge compute platforms. This will enable complex device provisioning and a set of tools for scientific workflow management, collaboration, and artifact sharing, with a goal towards promoting rigorous standards for reproducibility in this field.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.

该项目创建了一个城市规模的平台，用于高级无线研究，该平台将在2018 - 2023年在犹他州盐湖城部署。这个用于开放无线数据驱动的实验研究（粉末）的平台支持新型高级无线宽带和低6 GHz频段的通信技术的尺度实验。该项目以与区域网络的互动为特色，包括有关公共交通，宽带交付，教育和卫生服务提供的计划，以及科学，技术和研究的进步，通过创建一个在盟军技术领域中的一百家小公司的生态系统。早期采用者/初创公司和应用程序开发人员在其商业前阶段评估技术的能力将对数据网络和应用程序域中的创新速度产生重大积极影响。这项工作还将使与沟通相关学科的各个研究的教育者和学生受益。该平台的一个关键功能是与赖斯大学下一代端到端无线项目（续订）项目的可重构生态系统的合作关系，以开发高度可编程和灵活的大型多输入多输出（MIMO）平台，是5G和超越5G无线网络的重要特征。该平台将具有（i）由可编程基站，移动设备和静态传感器组成的异质系统； （ii）艺术状态大量的MIMO基站； （iii）能够在各种频谱范围内进行研究（从50 MHz到3.8 GHz），以及（iv）一个大规模的软件定义的无线网络测试床与现有的NSF资助的云测试台集成，从而实现端到端实验。该平台的另一个独特方面是支持基于无线移动性的研究，该研究由使用具有可预测的运动模式的快递员（例如，公交车），较不可预测但有限的移动性（例如，维护车辆）和可控制的快递员（例如，现场志愿者）提供。这些部署的单元中的每一个都将包含“基本”功能，其中包括用户可编程的软件定义的无线电，“带上自己的设备”（BYOD）实验，并将通过复杂的平台控制框架连接。现有的光纤链接将将无线基站连接到大约六个边缘计算平台。这将使复杂的设备配置和一套用于科学工作流程管理，协作和人工制品共享的工具，以旨在促进该领域的严格标准以促进严格的标准。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力和更广泛影响的评估来通过评估来支持的，这是值得的。

项目成果

Learning-based Techniques for Transmitter Localization: A Case Study on Model Robustness

• DOI: 10.1109/secon58729.2023.10287483
• 发表时间: 2023-09
• 期刊: 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
• 作者: Frost Mitchell;Neal Patwari;Aditya Bhaskara;S. Kasera

Digital Spectrum Twins for Enhanced Spectrum Sharing and Other Radio Applications

• DOI: 10.1109/jrfid.2023.3327212
• 发表时间: 2024-01-01
• 期刊: IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION
• 影响因子: 3.1
• 作者: Tadik，Serhat;Graves，Kaitlyn M.;Durgin，Gregory D.
• 通讯作者: Durgin，Gregory D.

Pseudonymetry: Precise, Private Closed Loop Control for Spectrum Reuse with Passive Receivers

• DOI: 10.1109/rfid54732.2022.9795976
• 发表时间: 2022-05
• 期刊: 2022 IEEE International Conference on RFID (RFID)
• 作者: Meles G. Weldegebriel;Jieran Wang;Ning Zhang;Neal Patwari;McKelvey

Augmented RF Propagation Modeling

增强射频传播建模

• DOI: 10.1109/jrfid.2023.3285452
• 发表时间: 2023
• 期刊: IEEE Journal of Radio Frequency Identification
• 影响因子: 3.1
• 作者: Tadik, Serhat;Varner, Michael A.;Mitchell, Frost;Durgin, Gregory D.
• 通讯作者: Durgin, Gregory D.

Nervion: a cloud native RAN emulator for scalable and flexible mobile core evaluation

Nervion：云原生 RAN 模拟器，用于可扩展且灵活的移动核心评估

• DOI: 10.1145/3447993.3483248
• 发表时间: 2021
• 期刊: ACM MobiCom 2021
• 作者: Larrea, Jon;Marina, Mahesh K.;Van der Merwe, Jacobus
• 通讯作者: Van der Merwe, Jacobus