This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering program (CFDA 47.070) provides $157,299 from October 1, 2023 to September 30, 2025 to the Bakersfield Auxiliary For Sponsored Programs Administration at California State University, Bakersfield. The project aims to devise a framework for automating end-to-end resource management of 5G-enabled Internet of Things (IoT) devices using reinforcement learning techniques with massive...
The National Science Foundation (NSF) awarded a $120,000 Project Grant to Tennessee State University under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds a collaborative research project to develop a framework for automating end-to-end resource management of 5G-enabled Internet of Things (IoT) devices using reinforcement learning (RL) techniques with massive multiple-input multiple-output (MIMO) in large-scale networks. The project aims to address the...
This $125,540 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research to develop techniques that enable emerging cellular technologies like 5G/6G to meet the stringent connectivity requirements of innovative societal applications such as augmented reality, telerobotics, and Internet-of-Things. The key focus is on advancing Radio Access Network (RAN) slicing, a 5G feature that allows...
This Project Grant award for $375,022.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop new cross-layer computing architectures and strategies to enable efficient edge intelligence and real-time processing for resource-limited Internet of Things (IoT) devices. The research will focus on designing non-Von Neumann architectures that integrate computation and data conversion capabilities to reduce data...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $111,723 to The Research Foundation For The State University Of New York, doing business as Stony Brook University, will fund a 5-year project titled "CAREER: Structured Learning and Optimization for Efficient Resource Management in the Wireless Edge Cloud: Theory and Algorithms". The project aims to develop structured learning and optimization...
This Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to advance autonomous network orchestration and slicing-as-a-service capabilities for next-generation mobile networks. The $531,134 award to the University of Nebraska will develop an "AutoSlicing" framework to enable deep reinforcement learning policies for continual network orchestration and adaptation, with the goal of...
This Project Grant award of $200,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a novel hardware-software co-design communication framework that enables parallel communication and improved spectrum utilization and power efficiency for heterogeneous Internet of Things (IoT) devices operating on the crowded 2.4GHz unlicensed spectrum. The framework will leverage software-defined radios (SDRs)...
This $200,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research project between Clemson University, Florida Agricultural and Mechanical University, Florida State University, and other partners. The project aims to develop a novel hardware-software co-design communication framework that will enable parallel and spectrum-efficient communication for heterogeneous Internet...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the CFDA 47.070 Computer and Information Science and Engineering program to The Research Foundation for the State University of New York (RF SUNY) to develop an open cloud-based "CTF5G" platform for cybersecurity training and workforce development focused on 5G network security. The key products to be delivered through this 2-year project are: Automating the workflow for setting up 5G network-based...
This National Science Foundation Project Grant award of $279,999 provides funding from Fiscal Year 2023 to 2026 under the federal Computer and Information Science and Engineering program (CFDA 47.070) to the University of Massachusetts Amherst. The award will support research activities to develop a cross-system architecture design for autonomous wireless networks based on lifelong machine learning. Specifically, the University of Massachusetts Amherst will conduct research to advance the design...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $122,598 to The Research Foundation For The State University Of New York (operating as State University College) to develop a system for automated resource management of 5G-enabled Internet of Things (IoT) devices.
The key objectives are to: a) design 5G network slicing using massive MIMO for IoT devices, b) develop a reinforcement learning model to orchestrate IoT devices in large-scale 5G networks, and c) integrate the reinforcement learning solution into a massive MIMO network sliced 5G-IoT system. This research aims to simplify network management, reduce costs, save energy, balance workloads, and optimize mobility for 5G-enabled IoT applications across healthcare, education, entertainment, transportation, and smart cities. The award also includes plans to engage and mentor students from underrepresented backgrounds in STEM fields related to 5G and reinforcement learning.