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

ICE-T：RC：通过无线异构网络实现高度可靠的低延迟宽带 (HRLLBB) 通信

• 批准号: 1836802
• 负责人: Walid Saad
• 金额: $ 30万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1836802&HistoricalAwards=false
• 关键词: ICE; RC; Towards; Highly; Reliable

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.

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，转向超可靠的低延迟通信 (URLLC) 范式。虽然当前的 URLLC 研究主要以传输非常短的物联网传感器数据包的需求为指导，但触觉互联网等新物联网应用的出现正在迅速颠覆这一原始的 URLLC 前提。这种新兴的物联网应用可以归类为高可靠、低延迟宽带（HRLLBB）服务，因为它们需要可变长度数据包的上下行联合传输，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美国和欧盟的首批协同努力之一，重点是开发将 HRLLBB 服务无缝集成到未来蜂窝网络所需的基础科学。特别是，拟议的研究将提供新颖的分析工具，以促进能够满足 HRLLB 服务的无线网络的建模、设计、分析和优化。反过来，这将实现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。该研究进一步与广泛的美国-欧盟（EU）教育计划相结合，其中包括新课程的开发以及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跨学科研究的广泛培训。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) 和无线职业。将通过美国-欧盟联合活动（例如教程和研讨会）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，这项研究将产生许多变革性成果，包括：1）严格的可靠性指标，利用统计和经济学的新颖框架来描述可实现的 HRLLBB 服务质量，共同超过极端网络条件下的上行链路和下行链路，2) 控制 HRLLBB 服务的速率-可靠性-延迟性能的无线权衡的基本特征，3) 新颖、动态的正交和非正交多址设计与预期的 HRLLBB 切换方案相结合，可实现异构服务的无缝共存，4) 颠覆性在线算法，使 HRLLBB 服务能够利用雾计算功能，同时有效管理，优化其速率-可靠性-延迟性能，实时地，他们的通信和计算资源，以及 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智力优点和更广泛的影响审查标准。

项目成果

Sum Rate and Reliability Analysis for Power-Domain Nonorthogonal Multiple Access (PD-NOMA)

• DOI: 10.1109/jiot.2021.3050990
• 发表时间: 2021-01
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Taehyeun Park;Gilsoo Lee;W. Saad;M. Bennis

Edge Continual Learning for Dynamic Digital Twins over Wireless Networks

通过无线网络实现动态数字孪生的边缘持续学习

• DOI: 10.1109/spawc51304.2022.9833928
• 发表时间: 2022
• 期刊: EEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC
• 作者: Hashash, Omar;Chaccour, Christina;Saad, Walid
• 通讯作者: Saad, Walid

Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication

• DOI: 10.1109/tmc.2020.3037374
• 发表时间: 2022-07
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Zhaohui Yang;Mingzhe Chen;W. Saad;W. Xu;M. Shikh-Bahaei

Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems

• DOI: 10.1109/tcomm.2019.2955454
• 发表时间: 2020-02-01
• 期刊: IEEE TRANSACTIONS ON COMMUNICATIONS
• 影响因子: 8.3
• 作者: Ali, Samad;Asgharimoghaddam, Hossein;Haapola, Jussi
• 通讯作者: Haapola, Jussi

Downlink Sum-Rate Maximization for Rate Splitting Multiple Access (RSMA)

速率分割多址 (RSMA) 的下行链路总速率最大化

• DOI: 10.1109/icc40277.2020.9149417
• 发表时间: 2020
• 期刊: IEEE International Conference on Communications
• 作者: Yang, Zhaohui;Chen, Mingzhe;Saad, Walid;Shikh-Bahaei, Mohammad
• 通讯作者: Shikh-Bahaei, Mohammad