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.

该项目为先进无线研究创建了一个城市规模的平台，将于 2018 年至 2023 年期间在犹他州盐湖城部署。该开放式无线数据驱动实验研究平台 (POWDER) 支持 6 GHz 以下频段的新型先进无线宽带和通信技术的大规模实验。该项目的特点是与区域网络进行互动，包括公共交通、宽带服务、教育和卫生服务提供方面的举措，以及通过创建由相关技术领域的一百家小公司组成的生态系统来促进科学、技术和研究的发展。早期采用者公司/初创公司和应用程序开发人员能够使用该平台来评估预商业阶段的技术，将对数据网络和应用程序领域的创新速度产生重大的积极影响。这项努力还将惠及通信相关学科各个层次的教育工作者和学生。该平台的一个关键特点是与莱斯大学下一代端到端无线可重构生态系统 (RENEW) 项目合作，开发高度可编程且灵活的大规模多输入多输出 (MIMO) 平台这是 5G 和超 5G 无线网络的基本功能。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构系统； (ii) 最先进的大规模 MIMO 基站； (iii) 在不同频谱范围（从 50 MHz 到 3.8 GHz）上进行研究的能力，以及 (iv) 与现有 NSF 资助的云测试台集成的大规模软件定义无线网络测试台，从而实现端到端结束实验。该平台的另一个独特之处是支持基于无线移动性的研究，通过使用具有可预测移动模式的快递员（例如公共汽车）、不可预测但有限的移动性（例如维护车辆）和可控快递员（例如现场志愿者）。每个部署的单元都将包含“基本”功能，其中包括用户可编程软件定义的无线电、“自带设备”(BYOD) 实验，并将通过复杂的平台控制框架进行连接。现有的光纤链路将把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、协作和工件共享的工具成为可能，目标是促进该领域严格的可重复性标准。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。

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.

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.

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

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