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Search Publications by: Nada T. Golmie (Fed)

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Displaying 1 - 25 of 164

Overhead-Free People Counting in mmWave Network Using IEEE 802.11bf Passive Sensing

October 17, 2024
Author(s)
Tanguy Ropitault, Anirudha Sahoo, Steve Blandino, Nada Golmie
Accurately assessing the number of people in a room is essential for enhancing operational efficiency, safety, and sustainability, enabling applications such as smart building management, energy conservation, and emergency evacuation planning. Wi-Fi

Towards Opportunistic Radar Sensing Using Millimeter-wave WiFi

January 1, 2024
Author(s)
Jian Wang, Jack Chuang, Samuel Berweger, Camillo Gentile, Nada T. Golmie
Sensing with communication waveforms has drawn growing interest thanks to the ubiquitous availability of wireless networks. However, the required sensing resources may not always be available in a communication system. In addition, the communication system

Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems

August 28, 2023
Author(s)
Neeraj Varshney, Samuel Berweger, Jack Chuang, Steve Blandino, Jian Wang, Neha Pazare, Camillo Gentile, Nada T. Golmie
Efficient design of integrated sensing and communication systems can minimize signaling overhead by reducing the size and/or rate of feedback in reporting channel state information (CSI). To minimize the signaling overhead when performing sensing

American Competitiveness Of a More Productive Emerging Tech Economy Act (The American COMPETE Act)

August 11, 2023
Author(s)
Commerce Secretary, Kevin A. Kimball, Matthew Hoehler, Anne Lane, Elham Tabassi, Connie LaSalle, Mark VanLandingham, James A. Warren, Naomi Lefkovitz, Nada T. Golmie, Chris Greer, Matthew Scholl, Dylan Yaga, Andrew C. Wilson, Kevin Stine, Karen Reczek, Institute for Defense Analyses Science and Technology Policy Institute (IDA STPI), Quantum Economic Development Consortium (QED-C), Federal Trade Commission (FTC)
Under DIVISION FF, Title XV, §1501 of the Consolidated Appropriations Act of 2021 (Public Law 116-260)—the "American Competitiveness Of a More Productive Emerging Tech Economy Act" (the "American COMPETE Act")—the United States Congress directed the

IEEE 802.11bf: Enabling the Widespread Adoption of Wi-Fi Sensing

May 31, 2023
Author(s)
Tanguy Ropitault, Steve Blandino, Anirudha Sahoo, Nada T. Golmie
In recent years, Wi-Fi has been shown to be a viable technology to enable a wide range of sensing applications, and Wi-Fi sensing has become an active area of research and development. Due to the significant and growing interest in Wi-Fi sensing, Task

IEEE 802.11bf DMG Sensing: Enabling High-Resolution mmWave Wi-Fi Sensing

January 16, 2023
Author(s)
Steve Blandino, Tanguy Ropitault, Anirudha Sahoo, Nada T. Golmie
IEEE 802.11bf amendment is defining the Wireless Local Area Network (WLAN) sensing procedure, which supports sensing in license-exempt frequency bands below 7 GHz and above 40GHz. In this paper, we examine WLAN sensing in the millimeter wave band, i.e.,

Integrated Sensing and Communication: Enabling Techniques, Applications, Tools and Datasets, Standardization, and Future Directions

December 1, 2022
Author(s)
Jian Wang, Neeraj Varshney, Camillo Gentile, Steve Blandino, Jack Chuang, Nada T. Golmie
The design of integrated sensing and communication (ISAC) systems has drawn recent attention for its capacity to solve a number of challenges. Indeed, ISAC can enable numerous benefits, such as the sharing of spectrum resources, hardware, and software, and

Towards Generative Adversarial Network on Industrial Internet of Things

October 1, 2022
Author(s)
Cheng Qian, Wei Yu, Chao Lu, David W. Griffith, Nada T. Golmie
Machine learning, as a viable way of conducting data analytics, has been successfully applied to a number of areas. Nonetheless, the lack of sufficient data is one critical issue for applying machine learning in Industrial Internet of Things (IIoT) systems

Towards an Integrated Simulation Platform for Internet of Vehicles

August 11, 2022
Author(s)
Xing Liu, Wei Yu, Cheng Qian, David W. Griffith, Nada T. Golmie
The interconnection and digitization of the physical world has increased dramatically with the widespread deployment of network communication and the rapid development of the Internet of Things (IoT). Application scenarios and requirements in IoT are more

Survey of Graph Neural Networks and Applications

July 28, 2022
Author(s)
Fan Liang, Cheng Qian, Wei Yu, David W. Griffith, Nada T. Golmie
The advance of deep learning has shown great potential in applications (speech, image and video classification). In these applications, deep learning models are trained by datasets in Euclidean space with fixed dimensions and sequences. Nonetheless, the

Multi-User MIMO Enabled Virtual Reality in IEEE 802.11ay WLAN

May 16, 2022
Author(s)
Jiayi Zhang, Steve Blandino, Neeraj Varshney, Jian Wang, Camillo Gentile, Nada T. Golmie
Virtual reality (VR) coupled with 360° video has been used in a variety of areas, including gaming, remote learning, and healthcare, among others. The 360° video on which VR applications are based today is mostly low resolution and, in order to improve the

Head Rotation Model for VR System Level Simulations

January 10, 2022
Author(s)
Steve Blandino, Tanguy Ropitault, Raied Caromi, Nada T. Golmie
The paper proposes a flexible mathematical time-correlated model, by leveraging experimental data adopted from recent measurements, to describe the head rotation in virtual reality applications. Virtual Reality (VR) promises immersive experience in diverse

Admission Control and Scheduling of Isochronous Traffic in IEEE 802.11ad MAC

December 20, 2021
Author(s)
Anirudha Sahoo, Weichao Gao, Tanguy Ropitault, Nada T. Golmie
An upsurge of bandwidth hungry applications such as virtual reality, augmented reality and availability of unlicensed spectrum in the mmWave band at 60 GHz have led to standardization of the next generation WiFi such as IEEE 802.11ad and 802.11ay. Due to

Deep Learning Based Link-Level Abstraction for mmWave Communications

November 18, 2021
Author(s)
Jian Wang, Neeraj Varshney, Jiayi Zhang, David W. Griffith, Nada T. Golmie
Link abstraction is an efficient way for predicting link-level performance (e.g., whether the receiver successfully receives packets through communication links). It can be used to support system-level simulation and facilitate link adaption. Nonetheless

Towards Online Continuous Reinforcement Learning on Industrial Internet of Things

October 19, 2021
Author(s)
Cheng Qian, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
In Industrial Internet of Things (IIoT), the information and communication technologies powered by IoT can greatly improve the efficiency and timeliness of information exchange between different industrial components. Likewise, machine learning techniques

Tools, Models and Dataset for IEEE 802.11ay CSI-based Sensing

September 10, 2021
Author(s)
Steve Blandino, Tanguy Ropitault, Anirudha Sahoo, Nada T. Golmie
The ubiquitous deployment and availability of wireless communication devices create the perfect opportunity to provide new wireless local area network (WLAN) use-cases, by implementing new sensing capabilities, while leveraging existing communications