RINGS: Robust and Resilient Wireless Networks using Next Generation Spectrum

下一代无线网络将在一个需要广泛共享底层基础设施和具有不同特性的频谱的环境中运行。许多服务可能会由过度提供商提供，这些提供商利用共享频谱和基础设施的多个网络向最终用户提供服务。这些趋势对如何在网络中有效共享资源以及服务提供商如何在不同的共享网络中有效管理资源提出了新的挑战。当试图提供具有严格的服务质量要求的服务时，这些挑战尤其尖锐，例如在延迟和可靠性方面，因此需要高水平的稳健性。该项目正在开发一种架构、相关的资源供应机制和自主控制算法，以应对这些挑战，并基于基础设施和频谱共享实现稳健和有弹性的下一代无线网络。正在开发的架构将使服务提供商能够利用共享基础设施和频谱来提高弹性。正在考虑一种分层体系结构，其中基础设施和服务是分开的。正在开发的服务供应方案包括用于将具有不同可用性的不同频段汇集在一起、在共享基础设施上协调服务保证以及在不同时间尺度上提供概率服务保证的方法。自主网络控制算法也在开发中，以智能地利用底层基础设施提供的服务。这些算法了解底层基础设施的动态(例如，容量、延迟、可靠性)，并动态适应基础设施和最终用户流量需求的变化。使用模拟和试验台实现相结合的方法来评估和验证算法。该项目还试图将本科生引入研究过程，并将研究成果纳入高级研究生课程。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Next-generation wireless networks will operate in an environment involving extensive sharing of underlying infrastructure and spectrum with heterogeneous characteristics. Many services will likely be provided by over-the-top providers that utilize multiple networks of shared spectrum and infrastructure to provide services to end-users. These trends raise new challenges in addressing how resources are effectively shared within a network and how service providers can effectively manage resources across different shared networks. These challenges are particularly acute when attempting to offer services that have stringent Quality of Service requirements, e.g., in terms of latency and reliability, and so require a high level of robustness. This project is developing an architecture, associated resource provisioning mechanisms, and autonomous control algorithms to meet these challenges and toenable robust and resilient next-generation wireless networks based on infrastructure and spectrum sharing. The architecture being developed will enable service providers to utilize shared infrastructure and spectrum to increase resilience. A hierarchical architecture is being considered in which infrastructure and services are separated. Service provisioning schemes are being developed that include approaches for pooling different bands of spectrum with different availability, orchestrating service guarantees over a shared infrastructure, and providing probabilistic service guarantees over different timescales. Autonomous network control algorithms are also being developed that make intelligent use of the services provided by the underlying infrastructure. These algorithms learn the dynamics of the underlying infrastructure (e.g., capacity, latency, reliability) and dynamically adapt to changes in both the infrastructure and end-user traffic demands. A combination of simulation and testbed implementation is being used to evaluate and validate the algorithms. The project also seeks to introduce undergraduates into the research process and is incorporating the research results into advanced graduate courses..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.