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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]
In the citing paper
“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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Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
Multicarrier modulation for data transmission: an idea whose time has come
Bingham, J. A. C. (1990) · IEEE Communications Magazine · doi:10.1109/35.54342 · Cited by 3,456
A Survey of 5G Network: Architecture and Emerging Technologies
Gupta, A., & Jha, R. K. (2015) · IEEE Access · doi:10.1109/access.2015.2461602 · Cited by 2,420
A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks
Nunes, B. A. A., Mendonca, M., Nguyen, X.-N., Obraczka, K., & Turletti, T. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2014.012214.00180 · Cited by 2,203
OFDM Versus Filter Bank Multicarrier
Farhang‐Boroujeny, B. (2011) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.940267 · Cited by 1,400
A Taxonomy and Survey of Cloud Computing Systems
Rimal, B. P., Choi, E., & Lumb, L. I. (2009) · doi:10.1109/ncm.2009.218 · Cited by 1,322
Living on the edge: The role of proactive caching in 5G wireless networks
Baştuǧ, E., Bennis, M., & Debbah, M. A. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6871674 · Cited by 1,214
Network function virtualization: Challenges and opportunities for innovations
Han, B., Gopalakrishnan, V., Ji, L., & Lee, S. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7045396 · Cited by 1,167
Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks
Michailow, N., Matthé, M., Gaspar, I. S., Navarro, A., Mendes, L. L., Festag, A., & Fettweis, G. P. (2014) · IEEE Transactions on Communications · doi:10.1109/tcomm.2014.2345566 · Cited by 884
Self-citationDynamic Spectrum Access and Management in Cognitive Radio Networks
Hossain, E., Niyato, D. T., & Han, Z. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609909 · Cited by 697
GFDM - Generalized Frequency Division Multiplexing
Fettweis, G. P., Krondorf, M., & Bittner, S. (2009) · IEEE Vehicular Technology Conference · doi:10.1109/vetecs.2009.5073571 · Cited by 563
Self-citation5G wireless access: requirements and realization
Dahlman, E., Mildh, G., Parkvall, S., Peisa, J., Sachs, J., Selén, Y., & Sköld, J. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6979985 · Cited by 402
Self-citationRealizing the Tactile Internet: Haptic Communications over Next Generation 5G Cellular Networks
Aijaz, A., Döhler, M., Aghvami, A. H., Friderikos, V., & Frodigh, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.1500157rp · Cited by 312
Self-citationDuan, Q., Yan, Y., & Vasilakos, A. V. (2012) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2012.113012.120310 · Cited by 311
Understanding the IoT connectivity landscape: a contemporary M2M radio technology roadmap
Andreev, S. D., Galinina, O., Pyattaev, A., Gerasimenko, M., Tirronen, T., Torsner, J., Sachs, J., Döhler, M., & Koucheryavy, Y. A. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7263370 · Cited by 307
Self-citationWireless requirements and challenges in Industry 4.0
Varghese, A., & Tandur, D. (2014) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i.2014.7019732 · Cited by 227
Luca, M. D., Machulla, T., & Ernst, M. O. (2009) · Journal of Vision · doi:10.1167/9.12.7 · Cited by 214
Analysis of ultra-reliable and low-latency 5G communication for a factory automation use case
Yilmaz, O. N. C., Wang, Y.-P. E., Johansson, N. A., Brahmi, N., Ashraf, S. A., & Sachs, J. (2015) · IEEE International Conference on Communications workshops · doi:10.1109/iccw.2015.7247339 · Cited by 205
Self-citationSteinbach, E., Hirche, S., Ernst, M., Brandi, F., Chaudhari, R., Kammerl, J., & Vittorias, I. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2182100 · Cited by 198
Radio access for ultra-reliable and low-latency 5G communications
Johansson, N. A., Wang, Y.-P. E., Eriksson, E., & Hessler, M. (2015) · IEEE International Conference on Communications workshops · doi:10.1109/iccw.2015.7247338 · Cited by 187
Osseiran, A., Braun, V., Taoka, H., Marsch, P., Schotten, H. D., Tullberg, H., Uusitalo, M. A., & Schellmann, M. (2013) · IEEE Vehicular Technology Conference · doi:10.1109/vtcspring.2013.6692781 · Cited by 179
5G Multi-RAT LTE-WiFi Ultra-Dense Small Cells: Performance Dynamics, Architecture, and Trends
Galinina, O., Pyattaev, A., Andreev, S. D., Döhler, M., & Koucheryavy, Y. A. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2417016 · Cited by 178
Cloudlets: at the Leading Edge of Mobile-Cloud Convergence
Satyanarayanan, M., Chen, Z., Ha, K., Hu, W., Richter, W., & Pillai, P. (2014) · Proceedings of the 6th International Conference on Mobile Computing, Applications and Services · doi:10.4108/icst.mobicase.2014.257757 · Cited by 165
Zheng, K., Ou, S., Alonso-Zárate, J., Döhler, M., Liu, F., & Zhu, H. (2014) · IEEE Wireless Communications · doi:10.1109/mwc.2014.6845044 · Cited by 145
Design of a low-latency, high-reliability wireless communication system for control applications
Weiner, M., Jorgovanovic, M., Sahai, A., & Nikolić, B. (2014) · International Conference on Communications · doi:10.1109/icc.2014.6883918 · Cited by 144
Software-defined networking in cellular radio access networks: potential and challenges
Arslan, M. Y., Sundaresan, K., & Rangarajan, S. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7010528 · Cited by 136
Condoluci, M., Döhler, M., Araniti, G., Molinaro, A., & Zheng, K. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7010526 · Cited by 136
Tactical Cloudlets: Moving Cloud Computing to the Edge
Lewis, G. A., Echeverría, S., Simanta, S., Bradshaw, B., & Root, J. (2014) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom.2014.238 · Cited by 130
Varsha, H. S., & Shashikala, K. P. (2017) · International Conference on Innovative Mechanisms for Industry Applications · doi:10.1109/icimia.2017.7975649 · Cited by 114
The Case for Mobile Edge-Clouds
Drolia, U., Martins, R., Tan, J., Chheda, A., Sanghavi, M., Gandhi, R., & Narasimhan, P. (2013) · Autonomic and Trusted Computing · doi:10.1109/uic-atc.2013.94 · Cited by 107
Nebula: Distributed Edge Cloud for Data Intensive Computing
Ryden, M., Oh, K., Chandra, A., & Weissman, J. (2014) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2014.34 · Cited by 94
Out-of-Band Power Suppression in OFDM
van de Beek, J., & Berggren, F. (2008) · IEEE Communications Letters · doi:10.1109/lcomm.2008.080587 · Cited by 88
Mirahmadi, M., Al‐Dweik, A., & Shami, A. A. (2013) · IEEE Transactions on Communications · doi:10.1109/tcomm.2013.102313.130220 · Cited by 78
Nebula: Distributed Edge Cloud for Data Intensive Computing
Jonathan, A., Ryden, M., Oh, K., Chandra, A., & Weissman, J. (2017) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2017.2717883 · Cited by 73
Point Cloud-Based Model-Mediated Teleoperation With Dynamic and Perception-Based Model Updating
Xu, X. W., Çizmeci, B., Al-Nuaimi, A., & Steinbach, E. G. (2014) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2014.2323139 · Cited by 69
Arata, J., Takahashi, H., Pitakwatchara, P., Warisawa, S., Tanoue, K., Konishi, K., Ieiri, S., Shimizu, S., Nakashima, N., Okamura, K., et al. (2007) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2007.363108 · Cited by 69
Latency for Real-Time Machine-to-Machine Communication in LTE-Based System Architecture
Nikaein, N., & Krea, S. (2011) · Graduate School and Research Center in Digital Science (EURECOM) · Cited by 68
Enhanced Compressed RTP (CRTP) for Links with High Delay, Packet Loss and Reordering
Koren, T., Casner, S. L., Geevarghese, J., Thompson, B., & Ruddy, P. (2003) · doi:10.17487/rfc3545 · Cited by 61
Leveraging Cloudlets for Immersive Collaborative Applications
Verbelen, T., Simoens, P., Turck, F. D., & Dhoedt, B. (2013) · IEEE Pervasive Computing · doi:10.1109/mprv.2013.66 · Cited by 60
LDPC codes and convolutional codes with equal structural delay: a comparison
Hehn, T., & Huber, J. B. (2009) · IEEE Transactions on Communications · doi:10.1109/tcomm.2009.06.080014 · Cited by 60
Achieving high availability in wireless networks by an optimal number of Rayleigh-fading links
Öhmann, D., Simsek, M., & Fettweis, G. P. (2014) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2014.7063630 · Cited by 55
Self-citationEffects of Packet Loss and Latency on the Temporal Discrimination of Visual-Haptic Events
Shi, Z., Zou, H., Rank, M., Chen, L., Hirche, S., & Müller, H. J. (2009) · IEEE Transactions on Haptics · doi:10.1109/toh.2009.45 · Cited by 52
Perceptual and Bitrate-Scalable Coding of Haptic Surface Texture Signals
Chaudhari, R., Schuwerk, C., Danaei, M., & Steinbach, E. G. (2014) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2014.2374574 · Cited by 50
Comparison of LDPC block and LDPC convolutional codes based on their decoding latency
Hassan, N. U., Lentmaier, M., & Fettweis, G. P. (2012) · International Symposium on Turbo Codes and Iterative Information Processing · doi:10.1109/istc.2012.6325232 · Cited by 50
Self-citationCache Clouds: Cooperative Caching of Dynamic Documents in Edge Networks
Ramaswamy, L. M., Liu, L., & Iyengar, A. (2005) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2005.16 · Cited by 49
Tight Integration of New 5G Air Interface and LTE to Fulfill 5G Requirements
Silva, I. D., Mildh, G., Rune, J., Wallentin, P., Vikberg, J., Schliwa-Bertling, P., & Fan, R. (2015) · IEEE Vehicular Technology Conference · doi:10.1109/vtcspring.2015.7146134 · Cited by 48
Condoluci, M., Döhler, M., Araniti, G., Molinaro, A., & Sachs, J. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7422406 · Cited by 44
Self-citationSatyanarayanan, M. (2013) · International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA) · doi:10.1145/2465478.2465494 · Cited by 43
Novel HW Architecture Based on FPGAs Oriented to Solve the Eigen Problem
Bravo, I., Mazo, M., Galilea, J. L. L., Gil-Jiménez, P., Gardel, A., & Marrón-Romera, M. (2008) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2008.2001939 · Cited by 43
Nebula: Distributed edge cloud for data-intensive computing
Ryden, M., Oh, K., Chandra, A., & Weissman, J. (2014) · International Conference on Collaboration Technologies and Systems (CTS) · doi:10.1109/cts.2014.6867613 · Cited by 42
LTE-advanced self-organizing network conflicts and coordination algorithms
Lateef, H. Y., Imran, A., Imran, M. A., Giupponi, L., & Döhler, M. (2015) · IEEE Wireless Communications · doi:10.1109/mwc.2015.7143333 · Cited by 41
Nekovee, M. (2009) · IEEE Vehicular Technology Conference · doi:10.1109/vetecs.2009.5073822 · Cited by 40
Availability indication as key enabler for ultra-reliable communication in 5G
Schotten, H. D., Sattiraju, R., Gozálvez, D., Ren, Z., & Fertl, P. (2014) · European Conference on Networks and Communications · doi:10.1109/eucnc.2014.6882630 · Cited by 38
Congestion-aware edge caching for adaptive video streaming in Information-Centric Networks
Yu, Y.-T., Bronzino, F., Fan, R., Westphal, C., & Gerla, M. (2015) · 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC) · doi:10.1109/ccnc.2015.7158039 · Cited by 33
Motion and Force Prediction in Haptic Media
Sakr, N., Georganas, N. D., Zhao, J., & Shen, X. (2007) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2007.4285132 · Cited by 31
Edge Cloud and Underlay Networks: Empowering 5G Cell-Less Wireless Architecture
Li, Q., Niu, H., Papathanassiou, A. T., & Wu, G. (2014) · European Wireless Conference · Cited by 30
Survey on interoperability, security, trust, privacy standardization of cloud computing
Saravanakumar, C., & Arun, C. (2014) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i.2014.7019735 · Cited by 25
The Tactile Internet IoT, 5G and Cloud on Steroids
Döhler, M. (2015) · doi:10.1049/ic.2015.0029 · Cited by 24
Virtual Environment Usage Protocols
Stanney, K. M., Kennedy, R. S., & Hale, K. S. (2014) · Human factors and ergonomics · doi:10.1201/b17360-38 · Cited by 21
Mobile, Collaborative Augmented Reality Using Cloudlets
Bohez, S., Turck, J. D., Verbelen, T., Simoens, P., & Dhoedt, B. (2013) · Mobile Wireless Middleware, Operating Systems, and Applications · doi:10.1109/mobilware.2013.13 · Cited by 19
Hybrid signal-based and geometry-based prediction for haptic data reduction
Xu, X. W., Kammerl, J., Chaudhari, R., & Steinbach, E. G. (2011) · IEEE International Workshop on Haptic Audio visual Environments and Games · doi:10.1109/have.2011.6088394 · Cited by 19
Requirements for robust IP/UDP/RTP header compression
(2001) · doi:10.17487/rfc3096 · Cited by 19
Handoff Between Proxies in the Proxy-Based Mobile Computing System
Khalaj, A., & Lutfiyya, H. L. (2013) · Mobile Wireless Middleware, Operating Systems, and Applications · doi:10.1109/mobilware.2013.15 · Cited by 18
Scalable Delivery of Dynamic Content Using a Cooperative Edge Cache Grid
Ramaswamy, L. M., Liu, L., & Iyengar, A. (2007) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.1031 · Cited by 18
Virtual Environment Usage Protocols
Stanney, K. M., Graeber, D. A., & Kennedy, R. S. (2021) · CRC Press eBooks · doi:10.1201/9780429169243-29-34 · Cited by 17
Pathways to servers of the future: highly adaptive energy efficient computing (HAEC)
Fettweis, G. P., Nagel, W. E., & Lehner, W. (2012) · Design, Automation, and Test in Europe · doi:10.5555/2492708.2492996 · Cited by 15
Self-citationPrediction techniques for haptic communication and their vulnerability to packet losses
Brandi, F., & Steinbach, E. G. (2013) · IEEE International Workshop on Haptic Audio visual Environments and Games · doi:10.1109/have.2013.6679612 · Cited by 13
5G Radio Access Network Design - A Brief Overview On The 5G-Ppp Project Metis-Ii
Marsch, P., Queseth, O., Elayoubi, S. E., Maternia, M., Uusitalo, M. A., Ruismäki, R., Tesanovic, M., Kaloxylos, A., Silva, I. D., & Boldi, M. R. (2015) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.598704 · Cited by 11
Dynamic Edge-Caching for Mobile Users: Minimising Inter-AS traffic by Moving Cloud Services and VMs
Sardis, F., Mapp, G., Loo, J. K. K., & Aiash, M. (2014) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2014.32 · Cited by 10
Haptic Data Compression Based on a Linear Prediction Model and Quadratic Curve Reconstruction
Guo, F., Zhang, C., & He, Y. L. (2014) · Journal of Software · doi:10.4304/jsw.9.11.2796-2803 · Cited by 9
Sakr, N., Georganas, N. D., & Zhao, J. (2010) · IEEE International Workshop on Haptic Audio visual Environments and Games · doi:10.1109/have.2010.5623980 · Cited by 6
Network traffic reduction in six degree-of-freedom haptic, telementoring systems
Sakr, N., Zhou, J., Georganas, N. D., Zhao, J., & Petriu, E. M. (2009) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2009.5346387 · Cited by 2
Coordinated edge caching with request aggregation in radio access network
Li, Y. (2014) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2014.7056316 · Cited by 1
Lee, C.-P., & Lin, P. (2020) · Springer eBooks · doi:10.1007/978-3-319-78262-1_190 · Cited by 1
Research works printed but not linked: 11
- zheng, 0, 10Gbps-HetSNets with millimeter-wave communications: Access and networking challenges and protocols, IEEE Commun Mag
- 2015, SFB 912 Highly Adaptive Energy-Efficient Computing
- fettweis, 0, Proc DATE Conf, 1161
- da silva, 0, Towards an efficient sleeping for 5G devices, Proc IEEE Veh Technol Conf (VTC) spring
- 2014, SERCOS News The Automation Bus Magazine
- fettweis, 0, The Opportunities of the Tactile Internet—A Challenge For Future Electronics
- 2015, 5G White Paper
- roth, 0, Vision and architecture supporting wireless GBit/sec/km2 capacity density deployments, Proc Future Netw Mobile Summit, 1
- 2014, Gross Domestic Product
- vakilian, 0, Universal-filtered multi-carrier ttechnique for wireless systems beyond LTE, Proc IEEE Globecom Workshop, 223
- ayadi, 0, Transmit/receive pulse-shaping design in BDFM systems over time-frequency dispersive AWGN channel, Proc IEEE Int Conf Syst Process Control (ICSPC), 772
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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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