CC* Integration-Small: M2- NET: An Integrated Access and Backhaul Millimeter-wave Wireless Network for Campus Connectivity and Research

CC* Integration-Small：M2-NET：用于校园连接和研究的集成接入和回程毫米波无线网络

• 批准号: 2346621
• 负责人: Vijay Shah
• 金额: $ 50万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346621&HistoricalAwards=false
• 关键词: CC; Integration; Small; M2; NET

George Mason University (Mason) is a diverse public research institution with over 40,000 students. The university's computing portfolio encompasses a wide spectrum of projects, from immersive AR/VR and agro-genomics to vision, geolocation, public safety, digital twin technology, and drone initiatives. The focus of this project, referred to as M2-NET (Mason Millimeter-wave wireless NETwork), is to enable high-speed, robust connectivity to its west campus which is a potential epicenter for research and education. The project will design, deploy, and evaluate a multi-hop millimeter-wave (mmWave) wireless infrastructure that will serve not only as a research platform for a multitude of research and development projects but will also enable wireless connectivity in the west campus. M2-NET will build a one-of-its-kind large-scale, outdoor mmWave networking and sensing infrastructure that will include unlicensed mmWave 60 GHz multi-hop backhaul, mmWave and sub-6 GHz WiFi access, open-source sub-6 GHz cellular RAN, software radios and mmWave radar sensors. With its capability to provide high-speed low-latency connectivity, ubiquitous sensing, and end-to-end protocol integration, M2-NET will support over a dozen interdisciplinary research projects (such as immersive content delivery, hardening cybersecurity for mmWave networks and drones as first responders) across different departments and centers at Mason. M2-NET will be deployed through novel machine learning based propagation models specifically developed for establishing reliable mmWave links with minimal measurement overhead, along with a high-throughput low-latency topology design that can provide wire-like connectivity with reconfigurability and agility. The infrastructure will result in numerous wireless datasets which will be openly shared with the global research community. M2-NET will serve as the exemplar platform for the evaluation and testing of mmWave backhaul networks for large-scale rural/sub-urban networking deployments, and the potential of addressing the digital divide. The code repositories, documentation, and other material will be maintained by the M2-NET team. The project website (https://nextgwirelesslab.org/m2-net) will consolidate the M2-NET-related information, including the datasets, available code, documentation, and other 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.

乔治梅森大学（梅森）是一所多元化的公共研究机构，拥有40，000多名学生。该大学的计算组合包括广泛的项目，从沉浸式AR/VR和农业基因组学到视觉，地理定位，公共安全，数字孪生技术和无人机计划。该项目被称为M2-NET（梅森毫米波无线网络），其重点是实现与其西校区的高速，强大的连接，西校区是研究和教育的潜在中心。该项目将设计、部署和评估一个多跳毫米波（mmWave）无线基础设施，该基础设施不仅将作为众多研发项目的研究平台，还将在西校区实现无线连接。 M2-NET将建立一个独一无二的大型户外毫米波网络和传感基础设施，其中包括未经许可的毫米波60 GHz多跳回程、毫米波和低于6 GHz的WiFi接入、开源低于6 GHz的蜂窝RAN、软件无线电和毫米波雷达传感器。凭借其提供高速低延迟连接、无处不在的传感和端到端协议集成的能力，M2-NET将支持梅森不同部门和中心的十几个跨学科研究项目（如沉浸式内容交付、加强毫米波网络的网络安全和无人机作为第一响应者）。M2-NET将通过基于机器学习的新型传播模型进行部署，该模型专门用于以最小的测量开销建立可靠的毫米波链路，沿着高吞吐量低延迟拓扑设计，可提供具有可重新配置性和灵活性的有线连接。该基础设施将产生大量无线数据集，这些数据集将与全球研究界公开共享。M2-NET将作为评估和测试大规模农村/郊区网络部署的毫米波回程网络以及解决数字鸿沟的潜力的示范平台。代码库、文档和其他材料将由M2-NET团队维护。项目网站（https：//nextgwirelesslab.org/m2-net）将整合M2-NET相关信息，包括数据集、可用代码、文档和其他相关资源。项目库/网站维护计划在最初项目时间轴之后的几年内通过社区生态系统和后续项目进行。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。