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Search Publications by: Tanguy Ropitault (Assoc)

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Displaying 1 - 19 of 19

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

A Simulation Study of mmWave 5G-enabled Medical Extended Reality (MXR)

August 12, 2024
Author(s)
Tanguy Ropitault, Yongkang Liu, Richard Rouil, Mohamad Omar Al Kalaa
Medical extended reality (MXR) offers innovative healthcare delivery in a variety of clinical contexts. 5G-enabled MXR refers to the use of 5G connectivity to enable MXR functions by connecting multiple MXR device components, servers, and collaborators

O-RAN with Machine Learning in ns-3

December 11, 2023
Author(s)
Wesley Garey, Tanguy Ropitault, Richard A. Rouil, Evan Black, Weichao Gao
The Open Radio Access Network (O-RAN) Alliance is an industryled standardization effort, with the main objective of evolving the Radio Access Network (RAN) to be open, intelligent, interoperable, and autonomous to support the ever growing need of improved

O-RAN with Machine Learning in ns-3

June 28, 2023
Author(s)
Wesley Garey, Richard A. Rouil, Evan Black, Tanguy Ropitault, Weichao Gao
The Open Radio Access Network (O-RAN) Alliance is the industry led standardization effort, with the sole purpose of evolving the Radio Access Network (RAN) to be more open, intelligent, interoperable, and autonomous to support the ever growing need of

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.,

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

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

Efficient MU-MIMO Beamforming Protocol for IEEE 802.11ay WLANs

January 1, 2019
Author(s)
Munsuk Kim, Tanguy Ropitault, SuKyoung Lee, Nada T. Golmie
IEEE 802.11ay supports multi-user multiple-input-multiple-output (MU-MIMO). However, the MU- MIMO BFT (Beamforming Training) is a time-consuming process to find appropriate directional antenna patterns, and inefficient BFT results in a long training time

Throughput Study for Channel Bonding in IEEE 802.11ac Networks

December 1, 2017
Author(s)
Munsuk Kim, Tanguy Ropitault, SuKyoung Lee, Nada T. Golmie
Several analytical models for the channel bonding feature of IEEE 802.11ac have been presented for performance estimation. However, the accuracy of such models is limited by the assumptions that there are no collisions or all nodes are in saturated state