Collaborative Research: NeTS: JUNO3: End-to-end network slicing and orchestration in future programmable converged wireless-optical networks

合作研究：NetS：JUNO3：未来可编程融合无线光网络中的端到端网络切片和编排

• 批准号: 2210344
• 负责人: Shih-Chun Lin
• 金额: $ 21.37万
• 依托单位: North Carolina State 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: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2210344&HistoricalAwards=false
• 关键词: Collaborative; Research; NeTS; JUNO3; End

Beyond 5G/6G and next-generation core networks promise a wide range of new applications and industrial verticals such as digital enterprise, Industry 4.0, and smart cities. Revolutionary technological breakthroughs in all domains, including access fronthaul, edge clouds, and core networks, are necessary to realize this unprecedented opportunity through timely end-to-end performance guarantees. Several challenges must be overcome in order to achieve this. Firstly, emerging applications often demand high availability and reliability for mission-critical purposes. Secondly, edge-to-edge traffic flows gradually dominate conventional cloud-to-user flows, transforming traffic patterns and profiles. Thirdly, the explosive growth of the Internet and core network traffic due to cloud services and the “new normal” following the COVID-19 pandemic propel new programmable broadband data delivery. Lastly, seamless end-to-end networking and management are necessary to support data-intensive, latency-sensitive applications such as metaverse, digital twins, and remote surgery. This project seeks to address these challenges. The objective of this joint US-Japan project is to develop critical enablers to realize the full spectrum of beyond 5G/6G applications. The specific aims are to: a) Design resilient fronthaul architectures based on novel power-over-fiber technology to provide wireless access survivability; b(Design automatic edge cloud management and service chain deployment by leveraging machine learning techniques and Markov decision processes; c)Design multi-petabit optical core networks and efficient access-edge-core orchestration and slicing for stringent service-level agreements; d) Prototype a wireless-optical network testbed and evaluate end-to-end harmonization performance. This project brings unique research synergy of US and Japanese researchers and will lay the theoretical, algorithmic, and experimental foundation of end-to-end network slicing and orchestration to enable future programmable converged wireless-optical networks. The research outcomes will have overarching and transformative broader impacts on technology and society through the harmonization of optical networking, edge, and wireless domains.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.

除了5G/6 G和下一代核心网络之外，它还有望带来广泛的新应用和行业垂直领域，如数字企业、工业4.0和智慧城市。包括接入前传、边缘云和核心网络在内的所有领域都需要革命性的技术突破，以通过及时的端到端性能保证来实现这一前所未有的机遇。为了实现这一目标，必须克服若干挑战。首先，新兴的应用程序往往需要高可用性和可靠性的关键任务的目的。其次，边缘到边缘的流量逐渐主导传统的云到用户的流量，改变了流量模式和配置文件。第三，云服务带来的互联网和核心网流量的爆炸性增长以及新冠疫情后的“新常态”推动了新的可编程宽带数据传输。最后，无缝的端到端网络和管理对于支持数据密集型、延迟敏感型应用程序（如metaverse、数字孪生和远程手术）是必要的。本项目旨在应对这些挑战。这个美日联合项目的目标是开发关键的使能器，以实现5G/6 G以外的全方位应用。具体目标是：a）设计基于新型光纤供电技术的弹性前传架构，以提供无线接入生存性; B（利用机器学习技术和马尔可夫决策过程设计自动边缘云管理和服务链部署; c）设计多PB光核心网络和高效的访问-边缘-核心编排和切片，以实现严格的服务级别协议; d）制作无线光网络测试平台原型，并评估端到端协调性能。 该项目带来了美国和日本研究人员独特的研究协同效应，将为端到端网络切片和编排奠定理论、算法和实验基础，以实现未来可编程融合无线光网络。研究成果将通过光网络、边缘和无线领域的协调，对技术和社会产生全面和变革性的广泛影响。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评审标准进行评估，被认为值得支持。

项目成果

Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands

• DOI: 10.1109/tvt.2023.3300954
• 发表时间: 2022-02
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Md Ferdous Pervej;Richeng Jin;Shih-Chun Lin;H. Dai

Connected autonomous vehicles: State of practice

• DOI: 10.1002/asmb.2772
• 发表时间: 2023-05
• 期刊: Applied Stochastic Models in Business and Industry
• 影响因子: 1.4
• 作者: M. Islam;Abdullah Al Redwan Newaz;Li Song;B. Lartey;Shih-Chun Lin;Wei Fan;Ali Hajbabaie;M. Khan;Alireza Partovi;Tienake Phuapaiboon;A. Homaifar;A. Karimoddini

6G-AUTOR: Autonomic Transceiver via Realtime On-Device Signal Analytics

6G-AUTOR：通过实时设备信号分析的自主收发器

• DOI: 10.1007/s11265-023-01858-8
• 发表时间: 2023
• 期刊: Journal of Signal Processing Systems
• 作者: Lin, Chia-Hung;Rohit, K. V.;Lin, Shih-Chun;Chu, Liang C.
• 通讯作者: Chu, Liang C.