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Search Publications by: Nada T. Golmie (Fed)

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Displaying 26 - 50 of 312

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

Towards Deep Q-Network Based Resource Allocation in Industrial Internet of Things

June 29, 2021
Author(s)
Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
With the increasing adoption of Industrial Internet of Things (IIoT) devices, infrastructures, and supporting applications, it is critical to design schemes to effectively allocate resources (e.g., networking, computing, and energy) in IIoT systems

Implementation and Evaluation of a WLAN IEEE 802.11ay Model in Network Simulator ns-3

June 23, 2021
Author(s)
Hany Assasa, Nina Grosheva, Tanguy Ropitault, Steve Blandino, Nada T. Golmie, Joerg Widmer
The IEEE Task Group ay (TGay) has recently defined new physical and medium access control specifications to design the next generation wireless standard in the 60 GHz band, the so-called IEEE 802.11ay. Build upon its 802.11ad predecessor, IEEE 802.11ay

Towards Deep Transfer Learning in Industrial Internet of Things

February 26, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David Griffith, Nada T. Golmie
In this paper, we propose a general framework to adopt transfer learning in IIoT systems. Transfer learning is a machine learning technique that fully uses the knowledge from pre- trained models to reduce the computing requirements for the training process

On Deep Reinforcement Learning Security for Industrial Internet of Things

February 15, 2021
Author(s)
Xing Liu, Wei Yu, Fan Liang, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers manufacturing and production processes by leveraging automation and Internet of Things (IoT) technologies. In IIoT, the information communication technologies enabled by IoT could

An Analytical Model for CBAP Allocations in IEEE 802.11ad

January 15, 2021
Author(s)
Nada Golmie, Tanguy Ropitault, Michele Zorzi, Chiara Pielli
The IEEE 802.11ad standard extends WiFi operation to the millimeter wave frequencies, and introduces novel features concerning both the physical (PHY) and Medium Access Control (MAC) layers. However, while there are extensive research efforts to develop

Towards Computing Resource Reservation Scheduling in Industrial Internet of Things

December 11, 2020
Author(s)
Fan Liang, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
The Industrial Internet of Things (IIoT) is a critically important implementation of the Internet of Things (IoT), connecting IoT devices ubiquitously in an industrial environment. Based on the interconnection of IoT devices, IIoT applications can collect