Autonomous maintenance for satellite-terrestrial integrated networks

星地一体化网络自主维护

• 批准号: RGPIN-2022-03364
• 负责人: Hu, Peng
• 金额: $ 1.89万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765764
• 关键词: Autonomous; maintenance; satellite; terrestrial; integrated

Reliable broadband Internet has never become so indispensable in our daily lives during and after the pandemic world. However, in 2021 alone, days of countrywide Internet outages have happened a few times. The Rogers network outage in April and social media service outage in October caused billion-dollar costs. The future Internet will face serious challenges. On the one hand, it is expected to provide global broadband access to more than 85% of the global population who currently have no broadband as reported by the International Telecommunications Union. On the other hand, highly resilient Internet access needs to be ensured with the increasing complexity of global telecommunications infrastructures in space and ground segments. With the new launch plans for massive non-geostationary (NGSO) satellites, the future Internet infrastructure will brace the convergence of satellite and terrestrial networks based on a new paradigm called satellite-terrestrial integrated network (STIN). A STIN is envisioned to enable global broadband Internet with the integration of advanced medium-Earth-orbit (MEO) and low-Earth-orbit (LEO) satellite constellations into heterogeneous ground segments. However, this vision can hardly be fulfilled without effective maintenance and operations for resilience assurance. For example, malfunctioning components, atmospheric events, or anomalous traffic on any network segment can easily degrade or disrupt network services. The complex, heterogeneous, and dynamic nature of the space and ground components introduces persistent operations challenges. Equipping STINs with an autonomous maintenance (AM) capability offers an ideal solution to the challenges. Such a solution can handle the increasing complexity of STINs and mitigate performance degradation. The long-term goal of the proposed research is to develop novel AM approaches to making the STIN-based Internet infrastructure resilient, intelligent, and self-maintainable. The short-term objectives are to explore the fundamental elements of AM in root cause analysis and anomaly mitigation for an NGSO-satellite-based STIN infrastructure. The proposed research will be conducted through holistic data-driven STIN architectures, generalizable anomaly detection models, and anomaly mitigation schemes with novel machine learning (ML) models and frameworks. The proposed research will advance the field by creating approaches and techniques that can be applied to autonomous management for any STIN-related network. The research will generate impact in academia and industry and ultimately boost the digital economy worldwide. It will also contribute to Canada's national priority for enhancing the digital infrastructure for unserved and underserved areas. HQP will be trained to conduct key research objectives and gain unique and transferrable skills sets of ML, data analytics, networking, and software development, making them highly competitive in securing positions in academia and industry.

在大流行期间和之后，可靠的宽带互联网在我们的日常生活中从未变得如此不可或缺。然而，仅在2021年，全国范围内的互联网中断就发生了几次。罗杰斯4月份的网络中断和10月份的社交媒体服务中断造成了数十亿美元的损失。未来的互联网将面临严峻的挑战。一方面，它预计将为国际电信联盟报告的目前没有宽带的全球人口的85%以上提供全球宽带接入。另一方面，随着全球电信基础设施在空间和地面领域的日益复杂，需要确保具有高度弹性的互联网接入。随着大规模非地球静止轨道(NGSO)卫星的新发射计划，未来的互联网基础设施将支持基于称为卫星-地面综合网络(STIN)的新范式的卫星和地面网络的融合。STIN的设想是通过将先进的中地球轨道(MEO)和低地球轨道(LEO)卫星星座整合到不同的地面段，实现全球宽带因特网。然而，如果不对复原力保证进行有效的维护和运作，这一愿景就很难实现。例如，任何网段上的组件故障、大气事件或异常流量都很容易降低或中断网络服务。空间和地面组件的复杂、异质和动态特性带来了持续的操作挑战。为STINS配备自主维护(AM)能力为这些挑战提供了理想的解决方案。这样的解决方案可以处理日益复杂的STINS，并缓解性能降级。拟议研究的长期目标是开发新的AM方法，使基于STIN的互联网基础设施具有弹性、智能和自我维护能力。短期目标是探索AM在基于NGSO卫星的STIN基础设施的根本原因分析和异常缓解中的基本要素。拟议的研究将通过整体数据驱动的STIN体系结构、可推广的异常检测模型以及具有新的机器学习(ML)模型和框架的异常缓解方案来进行。这项拟议的研究将通过创造可应用于任何与STIN相关的网络的自主管理的方法和技术来推动该领域的发展。这项研究将在学术界和工业界产生影响，并最终推动全球数字经济。它还将有助于加拿大加强未得到服务和服务不足地区的数字基础设施的国家优先事项。HQP将接受培训，以实施关键研究目标，并获得ML、数据分析、网络和软件开发方面的独特且可移植的技能，使他们在确保在学术界和工业中的职位方面具有极强的竞争力。