This survey focuses on how the fifth generation of mobile networks will allow haptic applications to take life, in combination with the haptic data communication protocols, bilateral teleoperation control schemes and hapticData processing needed.
Abstract:
Touch is currently seen as the modality that will complement audition and vision as a third media stream over the Internet in a variety of future haptic applications which will allow full immersion and that will, in many ways, impact society. Nevertheless, the high requirements of these applications demand networks which allow ultra-reliable and low-latency communication for the challenging task of applying the required quality of service for maintaining the user’s quality of experience at optimum levels. In this survey, we enlist, discuss, and evaluate methodologies and technologies of the necessary infrastructure for haptic communication. Furthermore, we focus on how the fifth generation of mobile networks will allow haptic applications to take life, in combination with the haptic data communication protocols, bilateral teleoperation control schemes and haptic data processing needed. Finally, we state the lessons learned throughout the surveyed research material along with the future challenges and infer our conclusions.
TL;DR: This work rigorously discusses the fundamental changes required in the core networks of the future, such as the redesign or significant reduction of the transport architecture that serves as a major source of latency for time-sensitive applications.
TL;DR: The Internet of Nano Things and Tactile Internet are driving the innovation in the H-IoT applications and the future course for improving the Quality of Service (QoS) using these new technologies are identified.
TL;DR: In this article, the authors provide an up-to-date comprehensive survey of the IEEE TSN and IETF DetNet standards and related research studies and identify the pitfalls and limitations of the existing standards and research studies.
TL;DR: A taxonomy of edge computing in 5G is established, which gives an overview of existing state-of-the-art solutions of edge Computing in5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles.
TL;DR: A study of this problem, which relates the maximum achievable object stiffness to the elements of the control loop, examines how the sampling rate, quantization, computational delay, and amplifier dynamics interact with the inertia, natural viscous, and Coulomb damping of the haptic device.
TL;DR: The bandwidth and response characteristics required for effective telerobotic control are investigated, and an idealized design goal based on the concept of telepresence is presented.
TL;DR: It is shown that the resulting system is stable even if there are large uncertainties in the model of the remote system (used in prediction) and the time delay is varying and unpredictable.
TL;DR: It is proved that it is indeed possible to achieve stable behavior with simple PD-like schemes-even without the delayed derivative action-under the classical assumption of passivity of the terminal operators.
TL;DR: The result is an adaptive neural net compensation scheme for unknown nonlinear systems with time delays, using a recurrent neural network with on-line weight tuning algorithm to approximate the dynamics of the time-delay-free nonlinear plant.
Q1. What are the contributions mentioned in the paper "Towards haptic communications over the 5g tactile internet" ?
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Q2. What are the future works in "Towards haptic communications over the 5g tactile internet" ?
Therefore, it is essential to explore further how teleoperation systems can be optimally integrated into the next generation ( 5G ) mobile networks. One of the future challenges is to fill the gaps in Table III, by combining haptic data reduction with the existing control approaches for bilateral teleoperation. It is obvious that in the future generations of the Internet, operators will have a more active role in acquiring and processing user data, especially since prediction will play a major role in optimizing the QoS offered by the network [ 230 ]. Future work could focus on defining objective system performance metrics, which will allow us to analyze and to compare different control and communication approaches for bilateral teleoperation systems.