CCRI: Grand: Colosseum: Opening and Expanding the World's Largest Wireless Network Emulator to the Wireless Networking Community

CCRI：Grand：Colosseum：向无线网络社区开放和扩展世界上最大的无线网络模拟器

• 批准号: 1925601
• 负责人: Tommaso Melodia
• 金额: $ 499.97万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925601&HistoricalAwards=false
• 关键词: CCRI; Grand; Colosseum; Opening; Expanding

In spite of significant federal and private investments, the US wireless research community is still lacking experimental facilities to support a science of rigorous and repeatable experimental evaluation of wireless networked systems, beyond simulation tools and small-scale, ad hoc, test-beds. The research community is also lacking a shared wireless network emulation facility to experiment and test at scale, in a fully controlled, programmable, and observable environment, and with hardware in the loop. This project will attempt to bridge this gap by supporting the transition of the Defense Advanced Research Projects Agency's (DARPA's) Colosseum -- the world's largest wireless network emulator -- to a shared programmable instrument open to and usable by the research community housed at the Kostas Research Institute at Northeastern University. Colosseum is a massive 256-by-256-channel radio frequency (RF) emulator supported with 256 programmable software defined radios, capable of emulating full-stack communications with abundant computational capabilities, ability to implement Artificial Intelligence and Machine Learning algorithms and hardware in the loop. For the first time, researchers will be able to experience in a single instrument the scale and abstractions of packet-level simulators, the flexibility of software radios, and the fidelity of professional channel emulation. This project will extend and accelerate research in wireless networked systems, and contribute to bringing different communities together (e.g., academia, government researchers, industry). A number of planned activities will train a new generation of professionals with unique networking system analysis and development skills.This project will make the following core contributions:(i) It will open Colosseum and make it available to the US wireless research community at large by modifying the native software framework, originally designed to support the DARPA Spectrum Collaboration Challenge.(ii) It will extend the functionalities of Colosseum by developing new scenario creation and channel reconfiguration capabilities and data visualization tools, as well as new edge computing, machine learning, and data analytics functionalities.(iii) It will develop a set of outreach activities to collect needs of the research community and plan future evolution of Colosseum to best serve these needs.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.

尽管有大量的联邦和私人投资，美国无线研究界仍然缺乏实验设施来支持对无线网络系统进行严格且可重复的实验评估的科学，除了模拟工具和小规模的临时测试台之外。研究界还缺乏共享的无线网络仿真设施来在完全受控、可编程和可观察的环境中以及硬件在环中进行大规模实验和测试。该项目将尝试通过支持美国国防高级研究计划局 (DARPA) 的 Colosseum（世界上最大的无线网络仿真器）向位于 Kostas 的研究界开放和使用的共享可编程仪器来弥补这一差距。东北大学研究院. Colosseum 是一个大型 256 x 256 通道射频 (RF) 仿真器，支持 256 个可编程软件定义无线电，能够仿真具有丰富计算能力的全栈通信，能够在环形。研究人员将第一次能够在单一仪器中体验数据包级模拟器的规模和抽象性、软件无线电的灵活性以及专业信道仿真的保真度。该项目将扩展和加速无线网络系统的研究，并有助于将不同社区（例如学术界、政府研究人员、工业界）聚集在一起。一系列计划中的活动将培训具有独特网络系统分析和开发技能的新一代专业人员。该项目将做出以下核心贡献：(i) 它将开放罗马斗兽场，并将其提供给整个美国无线研究界修改最初设计用于支持 DARPA Spectrum Collaboration Challenge 的本机软件框架。(ii) 它将通过开发新的场景创建和通道重新配置功能和数据可视化工具以及新的边缘计算、机器学习、和数据分析功能。(iii) 它将开发一系列外展活动来收集研究界的需求，并规划罗马斗兽场的未来发展，以最好地满足这些需求。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持基金会的智力价值和更广泛的影响审查标准。

项目成果

Outdoor mmWave Channel Propagation Models using Clustering Algorithms

使用聚类算法的室外毫米波信道传播模型

• DOI: 10.1109/icnc47757.2020.9049734
• 发表时间: 2020-02-01
• 期刊: 2020 International Conference on Computing, Networking and Communications (ICNC)
• 作者: B. Antonescu;Miead Tehrani Moayyed;S. Basagni
• 通讯作者: S. Basagni

Creating RF Scenarios for Large-scale, Real-time Wireless Channel Emulators

为大规模实时无线信道仿真器创建 RF 场景

• DOI: 10.1109/medcomnet52149.2021.9501275
• 发表时间: 2021-06
• 期刊: IEEE Mediterranean Communication and Computer Networking
• 作者: Tehrani;Bonati, Leonardo;Johari, Pedram;Melodia, Tommaso;Basagni, Stefano
• 通讯作者: Basagni, Stefano

SCOPE: an open and softwarized prototyping platform for NextG systems

SCOPE：NextG 系统的开放式软件化原型平台

• DOI: 10.1145/3458864.3466863
• 发表时间: 2021-06-24
• 期刊: Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services
• 作者: Leonardo Bonati;Salvatore D’oro;S. Basagni;T. Melodia
• 通讯作者: T. Melodia

eSWORD: Implementation of Wireless Jamming Attacks in a Real-World Emulated Network

eSWORD：在现实世界的模拟网络中实施无线干扰攻击

• DOI: 10.1109/wcnc55385.2023.10118687
• 发表时间: 2023-01-23
• 期刊: 2023 IEEE Wireless Communications and Networking Conference (WCNC)
• 作者: C. P. Robinson;Leonardo Bonati;Tara Van Nieuwstadt;Teddy Reiss;Pedram Johari;Michele Polese;Hieu Nguyen;C Peter N Watson;T. Melodia
• 通讯作者: T. Melodia

Creating RF Scenarios for Large-scale, Real-time Wireless Channel Emulators

为大规模实时无线信道仿真器创建 RF 场景

• DOI: 10.1109/medcomnet52149.2021.9501275
• 发表时间: 2021-06-15
• 期刊: 2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet)
• 作者: Miead Tehrani Moayyed;Leonardo Bonati;Pedram Johari;T. Melodia;S. Basagni
• 通讯作者: S. Basagni