Axe « Systèmes communicants et interactifs », 20 mai 2021

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Date/heure
Date(s) - 20/05/2021
14 h 00 - 16 h 00

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Le prochain séminaire Cédric aura lieu jeudi 20 mai.

Titre: Tactile Internet: Use-cases, Traffic Models, and Enabling Technologies
Invité: Amin Ebrahimzadeh, Horizon Postdoctoral Fellow, Concordia University, Montréal, Canada
Abstract: Tactile Internet is known as the next generation of the Internet that is expected to give way to a plethora of new applications including teleoperation and remote robotic surgery, among others. Unlike the previous generations of the Internet, the Tactile Internet aims to enable haptic communications by allowing real-time human-to-machine interactions over the networks. The Tactile Internet allows humans to interact with remotely located machines/robots in real-time via not only visual and auditory sensations, but also sensation of touch. Tactile Internet was not only envisioned as one of the delay-sensitive 5G applications, it is also expected as one of the killer applications in future 6G networks. This talk will start by elaborating on the Tactile Internet vision by briefly reviewing its anticipated impact on society and important design guidelines. I will then review the salient features and requirements of the Tactile Internet followed by the comparison between the Tactile Internet and Internet of Things (IoT). Further, I will provide an up-to-date survey of recent progress and enabling technologies proposed for the Tactile Internet. Next, I will explain Tactile Internet traffic models derived from haptic traces by studying teleoperation as an example of an immersive Tactile Internet experience. Next, fiber wireless (FiWi) access networks will be revisited in the context of conventional clouds and emerging cloudlets, as a promising Tactile Internet networking infrastructure. Toward this end, after introducing the concept of low-latency FiWi enhanced LTE-A HetNets using advanced multi-access edge computing (MEC) with embedded artificial intelligence (AI) capabilities, I will explain how we may use machine learning to decouple haptic feedback from the impact of extensive propagation delays, thereby enabling humans to perceive remote task environments in real-time at a 1-ms granularity. Finally, I will conclude the talk by identifying several open challenges and outlining future research directions.
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