RINGS: Enabling Wireless Edge-cloud Services via Autonomous Resource Allocation and Robust Physical Layer Technologies

在过去的20年里，无线技术已经发生了革命性的变化，数据速率增加了几个数量级。 新的无线通信技术，沿着网络边缘计算能力的出现，将使实现每秒千兆比特的数据速率和小于毫秒的延迟成为可能。 该项目开发网络算法，利用这些新兴技术实现强大而有弹性的下一代无线网络，以及智能城市，联网车辆，虚拟现实，远程医疗和先进制造等新应用。 该项目的目标是开发自主网络控制算法，通过物理层技术，边缘云计算和智能网络控制的组合，实现强大和弹性的分布式计算无线网络。特别是，该项目团队正在开发一个自主网络控制框架，该框架可以通过动态地使下一代无线通信系统适应环境的时变条件，同时智能地分配可用的通信和计算资源，以满足对时间敏感的边缘云服务的性能要求，来共同解决物理层和应用层的弹性问题。 网络控制框架动态地并且以自主方式做出资源分配决策，而无需业务统计和网络状况的先验知识，从而使其对网络和环境中的变化具有弹性。 该项目团队正在使用COSMOS测试平台对网络控制框架及其在边缘云系统中的应用进行原型设计、实验和评估。该项目包括有影响力的外展和教育活动，其中包括让纽约市和邻近的哈莱姆社区的初中和高中教师和学生参与无线网络，从而扩大对计算和STEM的参与。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Over the past 20 years, wireless technologies have been revolutionized, with data rates increasing by several orders of magnitude. New wireless communication technologies, along with the emergence of computing capabilities at the network’s edge will make it possible to achieve giga-bits-per-second data rates and less than millisecond delays. This project develops network algorithms that leverage these emerging technologies to enable robust and resilient next generation of wireless networks, and novel applications, such as smart cities, connected vehicles, virtual reality, telemedicine, and advanced manufacturing. The goal of this project is to develop autonomous network control algorithms that will enable robust and resilient distributed computing wireless networks through a combination of physical layer technology, edge-cloud computing, and intelligent network control. In particular, the project team is developing an autonomous network control framework that can jointly address resiliency in the physical and application layers by dynamically adapting the next-generation wireless communication systems to the time-varying conditions of the environment and, at the same time, intelligently allocating the available communication and computation resources in order to meet the performance requirements of time-sensitive edge-cloud services. The network control framework makes resource allocation decisions dynamically and in an autonomous manner, without prior knowledge of traffic statistics and network conditions, making it resilient to changes in the network and environment. The project team is using the COSMOS testbed to prototype, experiment, and evaluate the network control framework and its application to edge cloud systems. The project includes impactful outreach and education activities which, among other things, engage middle and high school teachers and students from NYC and the neighboring Harlem community in wireless networking, thereby broadening participation in Computing and STEM.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.