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.

超越5G/6G和下一代核心网络，有望在数字企业，工业4.0和智能城市等广泛的新应用程序和工业垂直领域。所有领域的革命性技术突破，包括访问Fronthaul，Edge Clouds和Core Networks，对于通过及时的端到端绩效保证实现这一前所未有的机会是必要的。为了实现这一目标，必须克服一些挑战。首先，新兴申请通常需要高可用性和可靠性，以进行关键任务。其次，边缘到边缘流量逐渐占主导地位，传统的云到用户流动，转换流量模式和配置文件。第三，由于云服务而引起的Internet和核心网络流量的爆炸性增长以及Covid-19大流行推动新的可编程宽带数据传递后的“新常态”。最后，无缝的端到端网络和管理对于支持数据密集型，对潜伏期敏感的应用程序（例如元，数字双胞胎和远程手术）是必要的。该项目旨在应对这些挑战。该联合美日项目的目的是开发关键的推动力，以实现超出5G/6G应用程序的全部范围。具体目的是：a）基于新颖的电动纤维技术，可提供无线访问生存能力的设计依赖于设计的领域架构； b（设计自动边缘管理和服务链通过利用机器学习技术和马尔可夫决策过程； c）设计多核心光学核心网络以及有效的访问 - 访问 - 核心核心编排以及切片以进行严格的服务级别协议； d）原型无线光学网络测试床和评估端到端协调性能。该项目带来了美国和日本研究人员的独特研究协同作用，并将为端到端网络切片和编排提供理论，算法和实验基础，以启用未来可编程的融合无线光学网络。研究成果将通过统一光学网络，边缘和无线领域对技术和社会产生总体和变革性的广播公司的影响。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响审查标准通过评估来评估的。

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.