CCRI: Planning: Collaborative Proposal: Tools and Research Priority Analyses for Development of Open-Source AI-Enabled Control and Testing Framework for 6G Cellular Research

CCRI：规划：协作提案：为 6G 蜂窝研究开发开源人工智能控制和测试框架的工具和研究优先分析

• 批准号: 2016688
• 负责人: Jeffrey Reed
• 金额: $ 5万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-15 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016688&HistoricalAwards=false
• 关键词: CCRI; Planning; Collaborative; Proposal; Tools

5G (5th Generation) wireless is known for a revolution in flexibility in wireless networks. Beyond 5G and 6G will likely be known for using intelligence to capitalize on flexibility. Wireless research activities have made use of artificial intelligence (AI) in various areas, but practical implementations of AI-based algorithms in wireless networks are relatively rare. This planning project analyzes the suitability of research priorities, toolboxes, and interfaces for the development of an experimental AI-enabled 6G and testing framework to spur US and global research. The goal of this planning effort is to analyze and lay out the design and architectural foundations of a software infrastructure that would spur experimental research, development and education on 6G wireless networks.The planning project develops two unique surveys: (1) Community: to understand the high-priority research needs that the community platform should support, considering inputs from researchers, practitioners and educators in academia, industry, and government; (2) Tools: to assess existing AI algorithms, toolboxes, and how to interface them with the cellular architecture and protocol stack; and thus, propose a robust design to enable the subsequent development of a practical open-source AI enabled control and testing framework for 6G cellular research that can run on community testbeds. This planning award will provide an initial assessment of the need and potentials of a 6G research platform for use in education at Mississippi State University, Virginia Tech, and elsewhere with the goal of enhancing educational material with hands-on learning opportunities and reproducible experimental case studies. The team will reach out to industry through several means, including institutions' industry affiliation members/sponsors, the PAWR (Platform for Advanced Wireless Research) industry consortium, and the Wireless Innovation Forum. The team plans to reach out to standardization bodies and regulators to make them aware of the outcomes of this study, the envisaged research platform and potential use cases that can help support important standardization and regulatory decisions related to 6G radio access networks.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.

5G（第五代）无线网络灵活性革命而闻名。超越5G和6G可能以使用智能来利用灵活性而闻名。无线研究活动利用了各个领域的人工智能（AI），但是在无线网络中基于AI的算法的实际实现相对较少。该计划项目分析了研究优先级，工具箱和界面的适用性，以开发实验性AI支持的6G和测试框架，以刺激我们和全球研究。 The goal of this planning effort is to analyze and lay out the design and architectural foundations of a software infrastructure that would spur experimental research, development and education on 6G wireless networks.The planning project develops two unique surveys: (1) Community: to understand the high-priority research needs that the community platform should support, considering inputs from researchers, practitioners and educators in academia, industry, and government; （2）工具：评估现有的AI算法，工具箱，以及如何与蜂窝体系结构和协议堆栈进行连接；因此，提出了一种强大的设计，以实现随后开发实用的开源AI启用AI的控制和测试框架，用于6G蜂窝研究，该框架可以在社区测试床上进行。该计划奖将对密西西比州立大学，弗吉尼亚理工大学和其他地方的6G研究平台的需求和潜力进行初步评估，目的是通过动手学习机会和可重现的实验案例研究来增强教育材料。该团队将通过多种方式与行业联系，包括机构的行业隶属会员/赞助商，PAWR（高级无线研究平台）行业财团和无线创新论坛。该团队计划与标准化机构和监管机构联系，以使他们意识到这项研究的结果，设想的研究平台和潜在用例，可以帮助支持与6G无线电访问网络相关的重要标准化和监管决策。这项奖项反映了NSF的法定任务，并被认为是通过基金会的知识优点和广泛的crietia crietia crietia cribitia cripitia criperia criperia cripitia crietia criperia criperia cribitia criperia criperia criperia cripitia cripitia criteria均值得通过评估。