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

基本信息

  • 批准号:
    2120442
  • 负责人:
  • 金额:
    $ 84.35万
  • 依托单位:
  • 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

项目摘要

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.

项目成果

期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Toward Secure and Efficient O-RAN Deployments: Secure Slicing xApp Use Case
实现安全高效的 O-RAN 部署:安全切片 xApp 用例
Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis
用于 O-RAN 资源分配的 Actor-Critic 网络:xApp 设计、部署和分析
  • DOI:
    10.1109/gcwkshps56602.2022.10008713
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kouchaki, Mohammadreza;Marojevic, Vuk
  • 通讯作者:
    Marojevic, Vuk
DDPG Learning for Aerial RIS-Assisted MU-MISO Communications
用于空中 RIS 辅助 MU-MISO 通信的 DDPG 学习
Toward Next Generation Open Radio Access Networks--What O-RAN Can and Cannot Do!
迈向下一代开放无线接入网络——O-RAN 能做什么、不能做什么!
  • DOI:
    10.1109/mnet.108.2100659
  • 发表时间:
    2022-07
  • 期刊:
  • 影响因子:
    9.3
  • 作者:
    Abdalla, Aly S.;Upadhyaya, Pratheek S.;Shah, Vijay K.;Marojevic, Vuk
  • 通讯作者:
    Marojevic, Vuk
OpenAI dApp: An Open AI Platform for Distributed Federated Reinforcement Learning
OpenAI dApp:分布式联合强化学习的开放人工智能平台
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Vuk Marojevic其他文献

Vuk Marojevic的其他文献

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{{ truncateString('Vuk Marojevic', 18)}}的其他基金

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:
    2016724
  • 财政年份:
    2020
  • 资助金额:
    $ 84.35万
  • 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:
    $ 84.35万
  • 项目类别:
    Standard Grant
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:
    2016724
  • 财政年份:
    2020
  • 资助金额:
    $ 84.35万
  • 项目类别:
    Standard Grant

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合作研究:CCRI:新:研究新闻推荐基础设施与实时用户进行算法和界面实验
  • 批准号:
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  • 批准号:
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