Collaborative Research: CNS Core: Medium: Softwarizing Millimeter-wave Radio Access Networks (RANs) at the Edge

合作研究：CNS 核心：媒介：边缘毫米波无线接入网络 (RAN) 软件化

• 批准号: 2211944
• 负责人: Tingjun Chen
• 金额: $ 50万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2211944&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

Emerging applications in augmented reality, connected autonomous vehicles, and industrial IoT systems impose demanding requirements on next-generation mobile networks that can hardly be met alone with radio resources below 7 GHz. Therefore, 5G and beyond networks have embraced radios operating in millimeter-wave (mmWave) frequency bands, which offer 25 times or more bandwidth worldwide. On the other hand, mmWave radio networks require the dense deployment of infrastructure nodes to achieve desirable coverage, because mmWave radio signals suffer from high propagation loss and are vulnerable to blockage and mobility. Unfortunately, mmWave infrastructure nodes, e.g., gNodeB in 5G, are made of specialized, dedicated hardware and as a result, their dense deployment would incur formidable capital and operational cost. The goal of the proposed project is to reduce the cost of mmWave radio infrastructure nodes by softwarizing their radio access network (RAN) functions and serving them from data centers close to end users, i.e., edge data centers, therefore facilitating network densification. More importantly, it will allow for previously impossible flexibility in network implementation and configuration as well as efficiency in resource allocation across the network and the edge data center. At the societal level, this project will fuel the ongoing revolution of mobile network virtualization and accelerate the development and deployment of next-generation network systems.The key insight toward addressing the challenges associated with softwarizing mmWave RANs at the edge is to exploit the massive data parallelism inside the mmWave baseband and its inherent structures, with programmable hardware in all domains. The project targets the following scientific contributions in three interrelated research thrusts. (i) A low-latency software realization of the mmWave physical layer for commodity server clusters suitable for edge deployment. (ii) Adaptive RAN configuration and in-network compression schemes that cope with the limited fronthaul capacity in practice, without substantially increasing the cost of mmWave infrastructure nodes. (iii) Novel sensing and imaging schemes based on mmWave radio signals intended for communications. These include sensing with a single mmWave infrastructure node and sensing that leverages multiple coordinated mmWave nodes to achieve previously impossible coverage and resolution.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.

在增强现实，连接的自动驾驶汽车和工业物联网系统中的新兴应用在下一代移动网络上毫无疑问，这些要求几乎不可能单独使用7 GHz以下的无线电资源来满足。因此，5G及以后的网络拥抱了以毫米波（MMWave）频带运行的收音机，在全球范围内提供25次或更多的带宽。另一方面，MMWave无线电网络需要密集的基础设施节点来实现理想的覆盖范围，因为MMWave无线电信号遭受了高传播损失的损失，并且容易受到阻塞和移动性的影响。不幸的是，MMWave基础架构节点，例如5G中的GNODEB是由专门的，专用的硬件制成的，因此，它们的密集部署将产生可观的资本和运营成本。拟议项目的目的是通过软化无线电访问网络（RAN）功能来降低MMWave无线电基础架构节点的成本，并从接近最终用户的数据中心（即边缘数据中心）提供服务，从而促进网络致密化。更重要的是，它将允许在网络实现和配置以及整个网络和边缘数据中心的资源分配效率方面具有不可能的灵活性。 At the societal level, this project will fuel the ongoing revolution of mobile network virtualization and accelerate the development and deployment of next-generation network systems.The key insight toward addressing the challenges associated with softwarizing mmWave RANs at the edge is to exploit the massive data parallelism inside the mmWave baseband and its inherent structures, with programmable hardware in all domains.该项目针对三个相互关联的研究推力作出以下科学贡献。 （i）适用于适合边缘部署的商品服务器群集的MMWave物理层的低延迟软件实现。 （ii）自适应运行配置和网络内压缩方案，该方案应对实践中有限的领域能力有限，而没有实质上增加MMWave基础设施节点的成本。 （iii）基于用于通信的MMWave无线电信号的新型传感和成像方案。其中包括使用单个MMWave基础架构节点感测，并感知说，该节点利用多个协调的MMWave节点来实现以前不可能的覆盖范围和解决方案。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来获得支持的。

项目成果

Open-access millimeter-wave software-defined radios in the PAWR COSMOS testbed: Design, deployment, and experimentation

PAWR COSMOS 测试台中的开放接入毫米波软件定义无线电：设计、部署和实验

• DOI: 10.1016/j.comnet.2023.109922
• 发表时间: 2023
• 期刊: Computer Networks
• 影响因子: 5.6
• 作者: Chen, Tingjun;Maddala, Prasanthi;Skrimponis, Panagiotis;Kolodziejski, Jakub;Adhikari, Abhishek;Hu, Hang;Gao, Zhihui;Paidimarri, Arun;Valdes-Garcia, Alberto;Lee, Myung
• 通讯作者: Lee, Myung

Open EDFA gain spectrum dataset and its applications in data-driven EDFA gain modeling

开放 EDFA 增益谱数据集及其在数据驱动的 EDFA 增益建模中的应用

• DOI: 10.1364/jocn.491901
• 发表时间: 2023
• 期刊: Journal of Optical Communications and Networking
• 影响因子: 5
• 作者: Wang, Zehao;Kilper, Daniel C.;Chen, Tingjun
• 通讯作者: Chen, Tingjun

Transfer Learning-based ROADM EDFA Wavelength Dependent Gain Prediction Using Minimized Data Collection

使用最小化数据收集进行基于迁移学习的 ROADM EDFA 波长相关增益预测

• DOI: 10.1364/ofc.2023.th2a.1
• 发表时间: 2023
• 期刊: IEEE/Optica Optical Fiber Communication Conference (OFC’23
• 作者: Wang, Zehao;Kilper, Dan;Chen, Tingjun
• 通讯作者: Chen, Tingjun

Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm

• DOI: 10.1145/3565287.3610272
• 发表时间: 2023-08
• 期刊: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
• 作者: Panagiotis Promponas;Ting-Chen Chen-Ting-Chen-Chen-2117181382;L. Tassiulas

Programmable Millimeter-Wave MIMO Radios with Real-Time Baseband Processing

• DOI: 10.1145/3615453.3616521
• 发表时间: 2023-10
• 期刊: Proceedings of the 17th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization
• 作者: Zhenzhou Qi;Zhihui Gao;Chung-Hsuan Tung;Tingjun Chen