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: 2120411
• 负责人: Joseph Gaeddert
• 金额: $ 99.99万
• 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: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120411&HistoricalAwards=false
• 关键词: Collaborative; Research; CCRI; New; Open

This collaborative project brings together investigators from Mississippi State University (MSU) and Virginia Tech (VT) to develop a software infrastructure that spurs research and development on artificial intelligence (AI)-enabled cellular radio networks. The main contribution is Open AI Cellular (OAIC), the first fully open-source software architecture, library, and toolset that encompass both the AI controllers (OAIC-C) as well as an AI testing framework (OAIC-T) for enabling research on 6G Open Radio Access Networks. This project puts the U.S. in the leading position of research, development, and testing of AI-enhanced cellular networks, initiated and organized by a group of academics and their collaborators and maintained by the wireless research community. The project (1) specifies the methodology along with the technical requirements, a reference architecture and design to facilitate collaborative software development; (2) designs and develops the fundamental OAIC-C software library for common software-defined radio (SDR) platforms; (3) facilitates systematic and exhaustive testing with the OAIC-T framework on community wireless research testbeds that are accessible to researchers; (4) develops verification tools and resources to facilitate rapid prototyping and testing as well as offers a variety of user services, such as mailing lists, code repositories, and learning material; and (5) implements a variety of community engagement and outreach processes, including the organization of workshops to engage with and leverage the community for long-term maintenance and sustainability.OAIC enhances lecture material by introducing hands-on laboratory sessions at MSU, VT, and collaborating universities. Industry, standardization bodies, and regulators are regularly informed about OAIC resources and projects, which can be leveraged for determining important standardization and regulatory decisions related to 6G. Other US agencies will be able to leverage OAIC and the community around it to develop AI-enhanced cellular technology and systems for purposes such as transportation and smart grid applications. The code repositories, documentation, and other material are maintained by the OAIC team with contributions from the research community. The project website (https://sites.google.com/msstate.edu/oaic) consolidates the OAIC project information and provides links to all project deliverables and related resources. The project repository/website maintenance is planned for several years beyond the initial project timeline through the community ecosystem and follow-up projects.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.

该合作项目将密西西比州立大学（MSU）和弗吉尼亚理工大学（VT）的研究人员聚集在一起，开发一个软件基础设施，促进人工智能（AI）蜂窝无线网络的研究和开发。主要贡献是开放人工智能蜂窝（OAIC），这是第一个完全开源的软件架构、库和工具集，包括人工智能控制器（OAIC- c）和人工智能测试框架（OAIC- t），用于支持6G开放无线接入网络的研究。该项目使美国在人工智能增强蜂窝网络的研究、开发和测试方面处于领先地位，由一群学者及其合作者发起和组织，并由无线研究社区维护。项目(1)指明方法、技术要求、参考架构和设计，以促进协同软件开发；(2)设计和开发了通用软件定义无线电（SDR）平台的基本OAIC-C软件库；(3)促进OAIC-T框架在社区无线研究试验台上进行系统和详尽的测试，这些试验台可供研究人员使用；(4)开发验证工具和资源，以促进快速原型和测试，并提供各种用户服务，如邮件列表、代码库和学习材料；(5)实施各种社区参与和外展流程，包括组织研讨会，与社区参与并利用社区进行长期维护和可持续性。OAIC通过在密歇根州立大学、佛蒙特大学和合作大学引入动手实验课程来增强讲座材料。行业、标准化机构和监管机构定期了解OAIC资源和项目，可以利用这些资源和项目来确定与6G相关的重要标准化和监管决策。其他美国机构将能够利用OAIC及其周围的社区开发用于交通和智能电网应用等目的的人工智能增强蜂窝技术和系统。代码存储库、文档和其他材料由OAIC团队维护，并得到研究社区的贡献。项目网站（https://sites.google.com/msstate.edu/oaic）整合了OAIC项目信息，并提供了所有项目可交付成果和相关资源的链接。通过社区生态系统和后续项目，项目存储库/网站维护计划在初始项目时间表之后的几年内进行。该奖项反映了美国国家科学基金会的法定使命，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。