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，下一代无线网络将彻底摆脱过去以速率为中心的设计，转向超可靠低延迟通信（URLLC）模式。虽然目前URLLC的研究主要是基于提供非常短的物联网传感器数据包的需求，但新的物联网应用（如触觉互联网）的出现正在迅速破坏这一原始URLLC前提。这种新兴的物联网应用可以被归类为高可靠性、低延迟宽带（HRLLBB）服务，因为它们需要可变长度分组的联合上行链路和下行链路传输，同时保证高可靠性、低延迟和宽带数据速率。因此，这项研究的目标是启动第一个协调一致的美国-欧盟的努力，重点是发展所需的基础科学无缝集成HRLLBB服务到明天的蜂窝网络。特别是，拟议的研究将提供新的分析工具，以促进建模，设计，分析和优化的无线网络，可以迎合HRLLB服务。反过来，这将使一系列具有重大社会影响的新型无线服务成为可能，从触觉到自主系统。该研究还与广泛的美国-欧盟（EU）教育计划相结合，该计划包括新课程开发以及对美国和欧盟学生和研究人员进行无线网络，经济学和网络优化边界跨学科研究的广泛培训。将组织K-12外联活动，让少数民族学生参与URLLC物联网活动，从而吸引他们从事科学，技术，工程，数学（STEM）和无线职业。通过美国和欧盟的联合活动，如教程和研讨会，将确保广泛的国际传播。拟议的研究将引入一个整体框架，以加快通过无线网络引入新兴的HRLLBB服务。通过美国，丹麦和芬兰之间的合作，这项研究将产生一些变革性的成果，包括：1）严格的可靠性度量，其利用来自统计学和经济学的新颖框架来表征在极端网络条件下联合地在上行链路和下行链路上可实现的HRLLBB服务质量，2）控制HRLLBB服务的速率-可靠性-延迟性能的无线折衷的基本表征，3）新颖，与预期HRLLBB切换方案相结合的动态正交和非正交多址接入设计使得能够无缝地共存异构服务，4）破坏性在线算法，将使HRLLBB服务能够通过利用雾计算功能来优化其速率-可靠性-延迟性能，同时实时有效地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.