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
基本信息
- 批准号:2016724
- 负责人:
- 金额:$ 5万
- 依托单位:
- 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:
- 关键词:
项目摘要
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)无线以无线网络灵活性的革命而闻名。5G和6 G之后,可能会以使用智能来利用灵活性而闻名。无线研究活动已经在各个领域使用了人工智能(AI),但在无线网络中基于AI的算法的实际实现相对较少。该规划项目分析了研究优先事项、工具箱和接口的适用性,以开发实验性的支持AI的6 G和测试框架,以刺激美国和全球研究。这项规划工作的目标是分析和制定软件基础设施的设计和架构基础,以促进6 G无线网络的实验研究、开发和教育。该规划项目开展了两项独特的调查:(1)社区:了解社区平台应支持的高优先级研究需求,考虑学术界研究人员、从业人员和教育工作者的投入,(2)工具:评估现有的人工智能算法、工具箱以及如何将它们与蜂窝架构和协议栈对接;因此,提出一个强大的设计,以便后续开发一个实用的开源人工智能控制和测试框架,用于6 G蜂窝研究,可以在社区测试平台上运行。该规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用于教育的6 G研究平台的需求和潜力进行初步评估,目标是通过实践学习机会和可重复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接触,包括机构的行业联盟成员/赞助商、PAWR(高级无线研究平台)行业联盟和无线创新论坛。该团队计划与标准化机构和监管机构联系,让他们了解本研究的成果、设想的研究平台以及有助于支持与6 G无线电接入网络相关的重要标准化和监管决策的潜在用例。该奖项反映了NSF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。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Artificial Neuronal Networks for Empowering Radio Transceivers: Opportunities and Challenges
用于增强无线电收发器功能的人工神经网络:机遇与挑战
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Mohammadi, Hossein;Marojevic, Vuk
- 通讯作者:Marojevic, Vuk
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Vuk Marojevic其他文献
SDR receiver computational model for application in power control
- DOI:
10.1007/s10470-011-9704-8 - 发表时间:
2011-07-21 - 期刊:
- 影响因子:1.400
- 作者:
Ismael Gomez;Vuk Marojevic;Antoni Gelonch - 通讯作者:
Antoni Gelonch
DDPG Learning for Aerial RIS-Assisted MU-MISO Communications
用于空中 RIS 辅助 MU-MISO 通信的 DDPG 学习
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Aly Sabri Abdalla;Vuk Marojevic - 通讯作者:
Vuk Marojevic
Quality of service assurance-based auction for spectrum sharing systems
- DOI:
10.1007/s10470-017-0932-4 - 发表时间:
2017-02-17 - 期刊:
- 影响因子:1.400
- 作者:
Munawwar M. Sohul;Miao Yao;Abdallah S. Abdallah;Matt Carrick;Vuk Marojevic;Jeffrey H. Reed - 通讯作者:
Jeffrey H. Reed
Vuk Marojevic的其他文献
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{{ truncateString('Vuk Marojevic', 18)}}的其他基金
Collaborative Research: CCRI: New: Open AI Cellular (OAIC): Prototyping Artificial Intelligence-Enabled Control and Testing Systems for Cellular Communications Research
合作研究:CCRI:新:开放人工智能蜂窝 (OAIC):为蜂窝通信研究构建人工智能控制和测试系统原型
- 批准号:
2120442 - 财政年份:2021
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: LARGE: AI-Enabled Spectrum Coexistence between Active Communications and Passive Radio Services: Fundamentals, Testbed and Data
合作研究:SWIFT:大型:主动通信和无源无线电服务之间人工智能支持的频谱共存:基础知识、测试平台和数据
- 批准号:
2030291 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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