RINGS
Resilient & Intelligent NextG Systems
The Resilient & Intelligent NextG Systems (RINGS) program is a partnership between the National Science Foundation (NSF), the Office of the Under Secretary of Defense for Research and Engineering (OUSD R&E), the National Institute of Standards and Technology (NIST) and a number of industry partners.
The RINGS program seeks to accelerate research in areas that will potentially have significant impact on emerging Next Generation (NextG) wireless and mobile communication, networking, sensing, and computing systems, along with global-scale services, with a focus on greatly improving the resiliency of such networked systems among other performance metrics.
PI Meeting 3 – Feb. 4-6, 2025
The third in-person PI meeting is being planned now!
Stay tuned for more details coming soon.
Check out the PI Meeting 2 recap
Questions? Email rings-vo@groups.mitre.org
Modern communication devices, systems, and networks are expected to support a broad range of critical and essential services, incorporating computation, coordination, and intelligent decision making. Resiliency of such systems, which subsumes security, adaptability, and autonomy, will be a key driving factor for future NextG network systems. Resiliency in both design and operations ensures robust network and computing capabilities that exhibit graceful performance- and service-degradation with rapid adaptability under even extreme operating scenarios.
The RINGS program seeks innovations to enhance both resiliency as well as performance across the various aspects of NextG communications, networking and computing systems. This program seeks to go beyond the current research portfolio within the individual participating directorates by simultaneously emphasizing gains in resiliency (through security, adaptability and/or autonomy) across all layers of the networking protocol and computation stacks as well as in throughput, latency, and connection density.
Featured Projects
Bringing Post-Quantum Cryptography to Large-Scale NextG Systems
Integrating concepts from quantum-safe device level security, wireless networking, security management and network evaluation in ways that have not been studied before.
A Deep Reinforcement Learning Enabled Large-scale UAV Network with Distributed Navigation, Mobility Control, and Resilience
Leveraging and significantly advancing the recent breakthroughs in NextG wireless communications, deep machine learning, hardware-aware model generation, and robust and trustworthy artificial intelligence, to enable the design of an intelligent and resilient UAV navigation and planning system.
Accelerating the NextG Protocols Definition to Code Generation with an Automatic and Secure Verification-Compilation Tool-Chain
Leveraging technical advancements in formal language for protocol description, formal verification for security analysis, and program synthesis for code generation.