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5G-Enabled Tactile Internet
Open accessAbstract
The long-term ambition of the Tactile Internet is to enable a democratization of skill, and how it is being delivered globally. An integral part of this is to be able to transmit touch in perceived real-time, which is enabled by suitable robotics and haptics equipment at the edges, along with an unprecedented communications network. The fifth generation (5G) mobile communications systems will underpin this emerging Internet at the wireless edge. This paper presents the most important technology concepts, which lay at the intersection of the larger Tactile Internet and the emerging 5G systems. The paper outlines the key technical requirements and architectural approaches for the Tactile Internet, pertaining to wireless access protocols, radio resource management aspects, next generation core networking capabilities, edge-cloud, and edge-AI capabilities. The paper also highlights the economic impact of the Tactile Internet as well as a major shift in business models for the traditional telecommunications ecosystem.
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“As for latency, Yang et al. [23] show that the network latency for audio image transmission and real-time control should be less than 40 and 20 ms, respectively.”
From The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards (2019) · cites this paper as [23]
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“The TI allows for a real-time interaction of humans and machines that supports haptic input with audiovisual feedback to control the machine operation in real-time.”
From Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019) · cites this paper as [56]
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“Edge AI becomes a key enabling technique for the Tactile Internet with human-in-the loop to facilitate ultra-responsive and truly immersive tactile actuation in the tele-operation systems [320].”
From Edge artificial intelligence for 6g: vision, enabling technologies, and applications (2022) · cites this paper as [320]
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Metadata
- Authors
- Simsek, M., Aijaz, A., Dohler, M., Sachs, J., & Fettweis, G.
- Affiliations
- Technische Universität Dresden (DE)
- King's College London (GB)
- Ericsson (Sweden) (SE)
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2016-03
- Volume
- 34
- Issue
- 3
- Pages
- 460-473
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2294511912
- Cited by
- 753
- References
- 80
- Citations by year
- 2026: 20 · 2025: 29 · 2024: 35 · 2023: 46 · 2022: 65 · 2021: 107 · 2020: 117 · 2019: 131 · 2018: 118 · 2017: 71 · 2016: 14
- FWCI
- 99.02
- Type
- journal article
- Language
- en
- Open access
- green
- kclpure.kcl.ac.uk
- Locations
- IEEE Journal on Selected Areas in Communications (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- European Commission (H2020)
- Deutsche Forschungsgemeinschaft
- Horizon 2020 Framework Programme
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- tactile internet, 5G, haptics, teleoperation, wireless edge networks, radio resource management, edge-cloud computing, edge AI, telecommunications business models
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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