A team from Rutgers led by WINLAB Chief Technologist Ivan Seskar (PI) and Distinguished Professor Dipankar Raychaudhuri (co-PI) have received a new NSF grant titled “COSMOS3: Enhancing and Sustaining the COSMOS Platform” to enable research on 6G era wireless networks. This 3-year $3.8M effort led by Rutgers University is a collaboration with Columbia and Duke universities.
The revolution of mobile networks in the 6G era and the emergence of smart cities are two pivotal pillars of our urban future. Rapid advancement of diverse communication and computing technologies will lead to a paradigm shift in urban living, offering unprecedented opportunities for efficiency, sustainability, and improved quality of life. Central to this paradigm shift is the integration of joint communication and sensing (JCAS) and spectrum awareness in city infrastructures, where the interplay between wireless communication, multi-modal sensors (e.g., cameras, lidars, and radars), and dynamic spectrum sharing offers an innovative avenue for addressing the challenges faced by modern cities.The goal of the proposed project is to develop and deploy an enhanced COSMOS Smart-city and Spectrum sharing infrastructure, which strategically enhances the capabilities and expands the deployment of the COSMOS platform to facilitate smart-city and spectrum sharing research in a dense urban environment.
COSMOS3 aims at two key enhancements to the COSMOS testbed: (i) Hardware upgrade and physical expansion of the testbed with a set of infrastructure and mobile nodes supporting multi-band (FR1/FR2/FR3) operations, JCAS, and multi-modal (camera/lidar/radar) sensing, which will be deployed in West Harlem, NYC, and provide full coverage of major city streets and intersections; (ii) A comprehensive suite of open-source software and example experiments tailored for the enhanced platform that can be extended to various networking scenarios and integrated with diverse smart-city and spectrum sharing applications by the users. Overall, COSMOS3 will allow the CISE and broader community to experimentally conduct smart-city and spectrum-related research, including but not limited to the areas of smart and connected intersections, wireless JCAS, dynamic spectrum sharing, mobile and edge AI applications, and security/privacy. It will also enable unprecedented experimentation in a dense urban environment and allow numerous researchers in both academia and industry to push the new technology frontier and to develop smarter intersections, cities, and communities.