Collaborative Research: CISE-MSI: RCBP-RF: CNS: RESCUE: Intelligent Public Safety based on Integrated Communications Systems

自然和人为灾害对个人、资产和社会构成严重威胁。因此，公共安全组织和急救人员越来越依赖信息通信技术（ICT）来履行职责。灾害管理需要一套能力，其中包括资源管理、获取相关数据和信息以及强有力和有复原力的通信。为了满足这些需求，RESCUE项目将设计一个三维（3D）网络架构，利用下一代无线网络领域的进展，提供一个原型解决方案，从而实现救灾行动的综合通信系统。此外，还将引入创新的大规模多址接入机制和动态频谱共享模型，以增加公共安全系统的容量，并提高救灾行动期间的频谱利用率。提出了一种新的定位、导航和定时（PNT）解决方案，通过利用可重构智能表面（RIS）的下一代网络技术来支持全球定位系统（GPS）拒绝的场景。这些成果将对救灾行动期间的通信以及受害者和第一反应者的福祉产生长期的惠益。 此外，该项目还将为研究生和本科生提供强化学习和下一代网络技术交叉点的独特培训。RESCUE项目将引入一种新型3D网络架构，利用地面和空中基站在救灾行动中提供必要的通信冗余。一种新的大规模多址接入机制将支持受害者和第一响应者的连接，一个强大的动态频谱共享模型将提高频谱利用率，在灾难场景的特点是增加的流量需求。通过利用下一代无线网络的可重构智能表面、智能全向表面和综合接入和回程技术，将设计支持扩展通信覆盖、移动性管理和有限通信资源的有效资源管理的创新机制。 一种新的定位、导航和定时解决方案将通过利用下一代无线网络技术，在GPS拒绝场景或室内环境下支持救灾行动。 将通过模拟、仿真和现场迭代测试方法对拟议的3D网络架构和支持模块进行全面测试和评估。RESCUE项目的新奇在于采用协同、集成和务实的方法，有效利用下一代无线网络技术来设计一个操作原型，以支持公共安全场景中受害者和第一响应者的连接。该项目的研究成果有可能支持应急控制中心的活动，例如在阿尔伯克基市。该项目由CISE MSI计划和刺激竞争研究的既定计划（EPSCoR）共同资助。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。

Natural and man-made disasters pose a serious threat to individuals, assets, and society. As such, public safety organizations and first responders are increasingly reliant on Information Communication Technology (ICT) to perform their duties. Disaster management requires a set of capabilities, which includes resource management, access to relevant data and information, and robust and resilient communications. In support of these needs, the RESCUE project will design a three dimensional (3D) networks architecture that exploits the advances in the field of next generation wireless networks to provide a prototype solution such that an integrated communications system for disaster relief operations is realized. Additionally, an innovative massive multiple access mechanism and a dynamic spectrum sharing model will be introduced to increase the public safety system’s capacity and improve the spectrum utilization, respectively, during the relief operations. A new Positioning, Navigation, and Timing (PNT) solution will be proposed to support scenarios of Global Positioning System (GPS) denial by utilizing the next generation networks technology of Reconfigurable Intelligent Surfaces (RIS). The outcomes will have long-lasting benefits for the communications, and in turn the well-being, of the victims and first responders during disaster relief operations. Furthermore, the project will provide unique training for graduate and undergraduate students at the crossroads of reinforcement learning and next generation networking technologies.The RESCUE project will introduce a novel 3D networks architecture that exploits terrestrial and aerial base stations to provide the necessary redundancy of communications during disaster relief operations. A novel massive multiple access mechanism will support the victims and first responders’ connectivity, and a robust dynamic spectrum sharing model will improve the spectrum utilization during disaster scenarios characterized by increased traffic demand. Innovative mechanisms to support the extended communications coverage, the mobility management, and the efficient resource management of the limited communications resources will be designed via utilization of the next generation wireless networks’ technologies of Reconfigurable Intelligent Surfaces, Intelligent Omni-Surfaces, and the Integrated Access and Backhaul. A new positioning, navigation, and timing solution will support the disaster relief operations in cases of GPS-denial scenarios or indoor environments by exploiting the next generation wireless networks’ technologies. A thorough testing and evaluation of the proposed 3D networks architecture and the supporting modules will be performed by following a simulation, emulation, and in-field iterative testing approach. The novelty of the RESCUE project lies in the synergistic, integrated, and pragmatic approach to efficiently utilize the next generation wireless networks’ technologies to design an operational prototype that will support the connectivity of victims and first responders in public safety scenarios. The research outcomes of this project have the potential to support activities of Emergency Control Centers, such as in the City of Albuquerque.This project is jointly funded by the CISE MSI program and the Established Program to Stimulate Competitive Research (EPSCoR).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.