ICE-T: RC: Towards Highly Reliable Low Latency Broadband (HRLLBB) Communications over Wireless Heterogeneous Networks

在物联网（IoT）出现的推动下，下一代无线网络将见证从过去以速率为中心的设计向超可靠低延迟通信（URLLC）范式的彻底转变。虽然目前的URLLC研究主要以提供非常短的物联网传感器数据包的需求为指导，但新的物联网应用（如触觉互联网）的出现正在迅速破坏这种原始的URLLC前提。这些新兴的物联网应用可以归类为高可靠、低延迟宽带（HRLLBB）业务，因为它们需要在保证高可靠性、低延迟和宽带数据速率的同时，实现可变长度数据包的上行和下行联合传输。因此，这项研究的目标是发起美国-欧盟第一次协同努力，重点发展将HRLLBB服务无缝集成到未来蜂窝网络所需的基础科学。特别是，所提出的研究将提供新颖的分析工具，以促进可以满足HRLLB服务的无线网络的建模、设计、分析和优化。反过来，这将使从触觉到自主系统等一系列具有重大社会影响的新型无线服务成为可能。该研究还与美国-欧盟（EU）广泛的教育计划相结合，该计划包括新课程开发和对美国和欧盟学生和研究人员在无线网络、经济学和网络优化领域的跨学科研究进行广泛培训。将组织K-12外展活动，让少数族裔学生参与URLLC物联网实践活动，从而吸引他们从事科学、技术、工程、数学（STEM）和无线事业。将通过美欧联合活动，如教程和研讨会，确保广泛的国际传播。拟议的研究将引入一个整体框架，以加快在无线网络上引入新兴的HRLLBB服务。通过美国、丹麦和芬兰的合作，这项研究将产生一系列变革性成果，包括：1)严格的可靠性指标，利用统计学和经济学的新框架来表征极端网络条件下上行和下行链路上可实现的HRLLBB服务质量；2)控制HRLLBB服务速率-可靠性-延迟性能的无线权衡的基本特征；动态正交和非正交多路访问设计，结合预期的HRLLBB切换方案，使异构服务能够无缝共存；4)破坏性在线算法，使HRLLBB服务能够通过利用雾计算功能优化其速率可靠性延迟性能，同时有效地实时管理其通信和计算资源；5)使用实际实验进行验证。该奖项反映了美国国家科学基金会的法定使命，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。

Driven by the emergence of the Internet of Things (IoT), next-generation wireless networks will witness a radical departure from the rate-centric designs of yesteryear, toward an ultra-reliable low latency communication (URLLC) paradigm. While current URLLC research has been primarily guided by the need to deliver very short IoT sensor packets, the advent of new IoT applications such as the tactile Internet, is rapidly disrupting this original URLLC premise. Such emerging IoT applications can be classified as highly reliable, low latency broadband (HRLLBB) services as they require joint uplink and downlink transmission of variable-length packets, while guaranteeing high reliability, low latency, and broadband data rates. The goal of this research is, thus, to initiate one of the first concerted US-EU efforts focused on developing the fundamental science needed to seamlessly integrate HRLLBB services into tomorrow's cellular networks. In particular, the proposed research will provide novel analytical tools to facilitate the modeling, design, analysis, and optimization of wireless networks that can cater to HRLLB services. This, in turn, will enable a broad range of novel wireless services with significant societal impacts, ranging from haptics to autonomous systems. The research is further coupled with an extensive US-European Union (EU) educational plan that includes new curriculum development and extensive training of US and EU students and researchers on interdisciplinary research at the boundary of wireless networking, economics, and network optimization. K-12 outreach events will be organized to involve minority students in hands-on URLLC IoT activities thus attracting them to Science, Technology, Engineering, Mathematics (STEM) and wireless careers. Broad international dissemination will be ensured via joint US-EU events such as tutorials and workshops.The proposed research will introduce a holistic framework for expediting the introduction of emerging HRLLBB services over wireless networks. Through a collaboration between the US, Denmark, and Finland, this research will yield a number of transformative outcomes that include: 1) Rigorous reliability metrics that leverage novel frameworks from statistics and economics to characterize the achievable HRLLBB quality-of-service, jointly over uplink and downlink, under extreme network conditions, 2) Fundamental characterization of the wireless tradeoffs governing the rate-reliability-latency performance of HRLLBB services, 3) Novel, dynamic orthogonal and non-orthogonal multiple access designs coupled with anticipatory HRLLBB handover schemes that enable a seamlessly co-existence of heterogeneous services, 4) Disruptive online algorithms that will enable HRLLBB services to optimize their rate-reliability-latency performance by leveraging fog computing functions while effectively managing, in real-time, their communications and computing resources, and 5) Validation using practical experiments.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.