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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Yang et al. show that the network latency for audio image transmission and real-time control should be less than 40 and 20 ms, respectively.
“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]
The Ultra-Responsive Connectivity section calls for approximately 1 ms end-to-end latency for tactile applications, including real-time control. That supports a need for latency below 20 ms, but our copy does not give a 20 ms control threshold or a 40 ms threshold for audio-image transmission. The cited paper is also by Simsek et al., not Yang et al. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThe Tactile Internet allows for real-time interaction of humans and machines that supports haptic input with audiovisual feedback to control machine operation in real-time.
“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]
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 tele-operation systems.
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
OFDM Versus Filter Bank Multicarrier
Farhang‐Boroujeny, B. (2011) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.940267 · Cited by 1,400 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 305 · see citing works
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 · see citing works
Luca, M. D., Machulla, T., & Ernst, M. O. (2009) · Journal of Vision · doi:10.1167/9.12.7 · Cited by 209 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Condoluci, M., Döhler, M., Araniti, G., Molinaro, A., & Zheng, K. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7010526 · Cited by 136 · see citing works
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 · see citing works
Varsha, H. S., & Shashikala, K. P. (2017) · International Conference on Innovative Mechanisms for Industry Applications · doi:10.1109/icimia.2017.7975649 · Cited by 114 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Mirahmadi, M., Al‐Dweik, A., & Shami, A. A. (2013) · IEEE Transactions on Communications · doi:10.1109/tcomm.2013.102313.130220 · Cited by 78 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Condoluci, M., Döhler, M., Araniti, G., Molinaro, A., & Sachs, J. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7422406 · Cited by 44 · see citing works
Self-citationSatyanarayanan, M. (2013) · International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA) · doi:10.1145/2465478.2465494 · Cited by 43 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Nekovee, M. (2009) · IEEE Vehicular Technology Conference · doi:10.1109/vetecs.2009.5073822 · Cited by 40 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
The Tactile Internet IoT, 5G and Cloud on Steroids
Döhler, M. (2015) · doi:10.1049/ic.2015.0029 · Cited by 24 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Requirements for robust IP/UDP/RTP header compression
(2001) · doi:10.17487/rfc3096 · Cited by 19 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Lee, C.-P., & Lin, P. (2020) · Springer eBooks · doi:10.1007/978-3-319-78262-1_190 · Cited by 1 · see citing works
Flagged first, then by citations
4 of the 80 references couldn’t be matched to a known paper.
Research works printed but not linked: 10
- [7]7. Z. Roth, M. Goldhamer, N. Chayat, A. Burr, M. Dohler, N. Bartzoudis, C. Walker, Y. Leibe, C. Oestges, M. Brzozowy, and I. Bucaille, "Vision and Architecture Supporting Wireless GBit/sec/km2 Capacity Density Deployments," in Future Network and Mobile Summit, 2010, June 2010, pp. 1-7.
- [14]14. Z. Lin and S. Pearson, "An Inside Look at Industrial Ethernet Commu- nication Protocols," in White Paper Texas Instruments, Nov. 2013.
- [20]20. M. Di Luca, T.-K. Machulla, and M. O. Ernst, "Recalibration of Multi- sensory Simultaneity: Crossmodal Transfer Coincides with a Change in Perceptual Latency," Journal of Vision, vol. 9, no. 12, pp. 1-16, 2009.
- [42]42. V. Vakilian, T. Wild, F. Schaich, S. ten Brink, and J.-F. Frigon, "Universal-Filtered Multi-Carrier tTechnique for Wireless Systems be- yond LTE," in in Proc. IEEE Globecom Workshop, Dec. 2013, p. 223-228.
- [43]43. R. Ayadi, M. Siala, and I. Kammoun, "Transmit/Receive Pulse-Shaping Design in BDFM Systems over Time-Frequency Dispersive AWGN Channel," in in Proc. IEEE ICSPC, Nov. 2007, pp. 772-775.
- [52]52. I. Da Silva, G. Mildh, Gunnar; J. L. Pradas, "Towards an Efficient Sleeping for 5G Devices," in Proc. IEEE Vehic. Technol. Conf. (VTC Spring'15), Glasgow, May. 2015.
- [72]72. K. Zheng, L. Zhao, J. Mei, M. Dohler, W. Xiangy, and Y. Peng, "10Gbps-HetSNets with Millimeter-Wave Communications: Access & Networking Challenges and Protocols," IEEE Comm. Mag., in press.
- [73]73. H.Y. Lateef, A.Imran, M.A. Imran, L. Giupponi, and M. Dohler, "LTE-Advanced Self-Organising Network Conflicts and Coordination Algorithm," IEEE Wirel. Comm. Mag., in press.
- [88]88. Meryem Simsek Dr. Meryem Simsek received her Dipl.-Ing. degree in Electrical Engineering and In- formation Technology from University of Duisburg- Essen, Germany in 2008, holding a scholarship from the German National Academic Foundation which is granted to the outstanding 0.5% of all students in Germany. She obtained her Ph.D. degree on reinforcement learning based inter-cell interference coordination in heterogeneous networks from the same university in 2013. In 2013, she was a post- doctoral visiting scientist at Florida International University. Since 2014, she is a group leader at the Vodafone Chair Mobile Communication Systems at the Technical University Dresden, Germany. Her main research interests include radio resource management in heterogeneous wireless networks, 5G wireless systems, game theory, reinforcement learning, and the tactile internet. Meryem won the IEEE Communications Society
- [90]90. Adnan Aijaz Adnan Aijaz (M'14) received the M.Sc degree in Mobile and Personal Communica- tions and the Ph.D degree in Telecommunications Engineering from King's College London, in 2011 and 2014, respectively. After a post-doc year at King's College London, he moved to Toshiba Re- search Europe Ltd. where he currently works as a Research Engineer. His research interests include 5G cellular networks, machine-to-machine communica- tions, full-duplex communications, cognitive radio networks, smart grids, and molecular communica- tions. He has served as the symposium co-chair for IEEE SmartGridComm'15. He is serving or has served on the TPC of various IEEE Conferences and workshops including VTC Spring'15, ICC'16, CROWNCOM'16, WCNC'16, and VTC Spring'16. Prior to joining King's, he worked in cellular industry for nearly 2.5 years in the areas of network performance management, optimization, and quality assurance. He obtained the B.E. degree in Electrical (telecom) Engineering from National University of Sciences and Technology (NUST), Pakistan.
Cited by
Sorted by citations
5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice
Shafi, M., Molisch, A. F., Smith, P. J., Haustein, T., Zhu, P., Silva, P. D., Tufvesson, F., Benjebbour, A., & Wunder, G. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2692307 · Cited by 2,312 · see citing works
Dang, S., Amin, O., Shihada, B., & Alouini, M.-S. (2020) · Nature Electronics · doi:10.1038/s41928-019-0355-6 · Cited by 1,790 · see citing works
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Tataria, H., Shafi, M., Molisch, A. F., Döhler, M., Sjöland, H., & Tufvesson, F. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3061701 · Cited by 1,615 · see citing works
Lee, L., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C., & Hui, P. (2024) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000095 · Cited by 1,525 · see citing works
5G Internet of Things: A survey
Li, S., Xu, L. D., & Zhao, S. (2018) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2018.01.005 · Cited by 1,307 · see citing works
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022 · see citing works
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies
Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., & Kim, S. W. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2973314 · Cited by 853 · see citing works
Edge artificial intelligence for 6g: vision, enabling technologies, and applications
Letaief, K. B., Shi, Y., Lu, J., & Lu, J. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2021.3126076 · Cited by 829 · see citing works
“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].”
MethodDigital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812 · see citing works
A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges
Xie, J., Tang, H., Huang, T., Yu, F. R., Xie, R., Liu, J., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2899617 · Cited by 773 · see citing works
Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research
Nasrallah, A., Thyagaturu, A. S., Alharbi, Z., Wang, C., Shao, X., Martin Reisslein, B., & Elbakoury, H. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2869350 · Cited by 709 · see citing works
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future
Nawaz, S. J., Sharma, S. K., Wyne, S., Patwary, M. N., & Asaduzzaman, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909490 · Cited by 658 · see citing works
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Capponi, A., Fiandrino, C., Kantarcı, B., Foschini, L., Kliazovich, D., & Bouvry, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2914030 · Cited by 597 · see citing works
6G Wireless Communications Networks: A Comprehensive Survey
Alsabah, M. Q., Naser, M. A., Mahmmod, B. M., Abdulhussain, S. H., Eissa, M. R., Al-Baidhani, A., Noordin, N. K., Sait, S. M., Al-Utaibi, K. A., & Hashim, F. (2021) · IEEE Access · doi:10.1109/access.2021.3124812 · Cited by 593 · see citing works
Xu, M., Ng, W. C., Lim, W. Y. B., Kang, J., Xiong, Z., Niyato, D. T., Yang, Q., Shen, X., & Miao, C. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3221119 · Cited by 588 · see citing works
A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies
Dogra, A., Jha, R. K., & Jain, S. (2020) · IEEE Access · doi:10.1109/access.2020.3031234 · Cited by 513 · see citing works
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
McEnroe, P., Wang, S., & Liyanage, M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3176400 · Cited by 482 · see citing works
She, C., Sun, C., Gu, Z., Li, Y., Yang, C., Poor, H. V., & Vucetic, B. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3053601 · Cited by 405 · see citing works
Edge Computing in 5G: A Review
Hassan, N., Yau, K. A., & Wu, C. (2019) · IEEE Access · doi:10.1109/access.2019.2938534 · Cited by 399 · see citing works
5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions
Ahad, A., Tahir, M., & Yau, K.-L. A. (2019) · IEEE Access · doi:10.1109/access.2019.2930628 · Cited by 352 · see citing works
The shift to 6G communications: vision and requirements
Akhtar, M. W., Hassan, S. A., Ghaffar, R., Jung, H., Garg, S., & Hossain, M. S. (2020) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-020-00258-2 · Cited by 347 · see citing works
Ma, Z., Xiao, M., Xiao, Y., Pang, Z., Poor, H. V., & Vucetic, B. S. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2907245 · Cited by 324 · see citing works
Radio Resource Management for Ultra-Reliable and Low-Latency Communications
She, C., Yang, C., & Quek, T. Q. S. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1601092 · Cited by 317 · see citing works
Cross-Layer Optimization for Ultra-Reliable and Low-Latency Radio Access Networks
She, C., Yang, C., & Quek, T. Q. S. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2762684 · Cited by 313 · see citing works
Efficient Fire Detection for Uncertain Surveillance Environment
Muhammad, K., Khan, S., Elhoseny, M., Ahmed, S. H., & Baik, S. W. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2897594 · Cited by 311 · see citing works
Chowdhury, M. Z., Shahjalal, M. A., Hasan, M. K., & Jang, Y. M. (2019) · Applied Sciences · doi:10.3390/app9204367 · Cited by 303 · see citing works
Vehicular Visible Light Communications: A Survey
Memedi, A., & Dressler, F. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3034224 · Cited by 299 · see citing works
5G Radio Network Design for Ultra-Reliable Low-Latency Communication
Sachs, J., Wikstrom, G., Dudda, T., Baldemair, R., & Kittichokechai, K. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700232 · Cited by 287 · see citing works
Self-citationSutton, G. J., Zeng, J., Liu, R. P., Ni, W., Nguyen, D. N., Jayawickrama, B. A., Huang, X., Abolhasan, M., Zhang, Z., Dutkiewicz, E., et al. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2897800 · Cited by 272 · see citing works
5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps
Varga, P., Pető, J., Frankó, A., Balla, D., Haja, D., Janky, F. N., Soós, G., Ficzere, D., Maliosz, M., & Toka, L. (2020) · Sensors · doi:10.3390/s20030828 · Cited by 270 · see citing works
Toward Haptic Communications Over the 5G Tactile Internet
Antonakoglou, K., Xu, X., Steinbach, E., Mahmoodi, T., & Dohler, M. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2851452 · Cited by 260 · see citing works
Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale
Bennis, M., Debbah, M. A., & Poor, H. V. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2867029 · Cited by 242 · see citing works
Machine Learning Techniques for 5G and Beyond
Kaur, J., Khan, M. A., Iftikhar, M., Imran, M. A., & Qazi, E.-U.-H. (2021) · IEEE Access · doi:10.1109/access.2021.3051557 · Cited by 240 · see citing works
Heterogeneous Cellular Networks With Spatio-Temporal Traffic: Delay Analysis and Scheduling
Zhong, Y. F., Quek, T. Q. S., & Ge, X. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2687379 · Cited by 238 · see citing works
Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics
Mejía-Salazar, J. R., Cruz, K. R., Materón, E. M., & Oliveira, O. N. (2020) · Sensors · doi:10.3390/s20071951 · Cited by 226 · see citing works
The Role of 5G Technologies: Challenges in Smart Cities and Intelligent Transportation Systems
Guevara, L., & Cheein, F. A. (2020) · Sustainability · doi:10.3390/su12166469 · Cited by 223 · see citing works
Offloading Schemes in Mobile Edge Computing for Ultra-Reliable Low Latency Communications
Liu, J., & Zhang, Q. (2018) · IEEE Access · doi:10.1109/access.2018.2800032 · Cited by 220 · see citing works
Terahertz band communication systems: Challenges, novelties and standardization efforts
Tekbıyık, K., Ekti, A. R., Kurt, G. K., & Görçin, A. (2019) · Physical Communication · doi:10.1016/j.phycom.2019.04.014 · Cited by 206 · see citing works
Quantum Internet protocol stack: A comprehensive survey
Illiano, J., Caleffi, M., Manzalini, A., & Cacciapuoti, A. S. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109092 · Cited by 204 · see citing works
The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards
Holland, O., Steinbach, E., Prasad, R. V., Liu, Q., Dawy, Z., Aijaz, A., Pappas, N., Chandra, K., Rao, V. S., Oteafy, S., et al. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2885541 · Cited by 200 · see citing works
“In [2], it has been shown that the lowest achievable one-way transmission latencies that can be guaranteed with high reliability over the NR radio access network range from sub-millisecond level to a few milliseconds, depending on the used configuration.”
BackgroundInfluentialSelf-citationJoint Power and Blocklength Optimization for URLLC in a Factory Automation Scenario
Ren, H., Pan, C., Deng, Y., Elkashlan, M., & Nallanathan, A. (2019) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2019.2957745 · Cited by 198 · see citing works
A Systematic Review on NOMA Variants for 5G and Beyond
Budhiraja, I., Kumar, N., Tyagi, S., Tanwar, S., Han, Z., Piran, M. J., & Suh, D. Y. (2021) · IEEE Access · doi:10.1109/access.2021.3081601 · Cited by 196 · see citing works
Data-Driven Computing and Caching in 5G Networks: Architecture and Delay Analysis
Chen, M., Qian, Y., Hao, Y., Li, Y., & Song, J. (2018) · IEEE Wireless Communications · doi:10.1109/mwc.2018.1700216 · Cited by 195 · see citing works
Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions
Sharma, S. K., Woungang, I., Anpalagan, A., & Chatzinotas, S. (2020) · IEEE Access · doi:10.1109/access.2020.2980369 · Cited by 189 · see citing works
Achieving Ultra-Low Latency in 5G Millimeter Wave Cellular Networks
Ford, R., Zhang, M., Mezzavilla, M., Dutta, S., Rangan, S., & Zorzi, M. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600407cm · Cited by 174 · see citing works
Low-Latency Networking: Where Latency Lurks and How to Tame It
Jiang, X., Shokri‐Ghadikolaei, H., Fodor, G., Modiano, E., Pang, Z., Zorzi, M., & Fischione, C. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2863960 · Cited by 169 · see citing works
The Tactile Internet for Industries: A Review
Aijaz, A., & Sooriyabandara, M. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2878265 · Cited by 169 · see citing works
Self-citationHaptic Codecs for the Tactile Internet
Steinbach, E., Strese, M., Eid, M., Liu, X., Bhardwaj, A., Liu, Q., Al-Ja'Afreh, M., Mahmoodi, T., Hassen, R., El Saddik, A., et al. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2867835 · Cited by 168 · see citing works
A survey of 5G network systems: challenges and machine learning approaches
Fourati, H., Mâaloul, R., & Fourati, L. C. (2020) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-020-01178-4 · Cited by 166 · see citing works
Edge Caching and Computing in 5G for Mobile AR/VR and Tactile Internet
Sukhmani, S., Sadeghi, M., Erol‐Kantarci, M., & Saddik, A. E. (2018) · IEEE Multimedia · doi:10.1109/mmul.2018.2879591 · Cited by 164 · see citing works
A 5G Cognitive System for Healthcare
Chen, M., Yang, J., Hao, Y., Mao, S., & Hwang, K. (2017) · Big Data and Cognitive Computing · doi:10.3390/bdcc1010002 · Cited by 159 · see citing works
Ali, M., Naeem, F., Kaddoum, G., & Hossain, E. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3347172 · Cited by 153 · see citing works
Access Control and Resource Allocation for M2M Communications in Industrial Automation
Zhou, Z., Guo, Y., He, Y., Zhao, X., & Bazzi, W. M. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2903100 · Cited by 152 · see citing works
Salh, A., Audah, L., Shah, N. S. M., Alhammadi, A., Abdullah, Q., Kim, Y. H., Al-Gailani, S. A., Hamzah, S. A., Esmail, B. A. F., & Almohammedi, A. A. (2021) · IEEE Access · doi:10.1109/access.2021.3069707 · Cited by 152 · see citing works
A Comprehensive Survey of the Tactile Internet: State-of-the-Art and Research Directions
Promwongsa, N., Ebrahimzadeh, A., Naboulsi, D., Kianpisheh, S., Belqasmi, F., Glitho, R., Crespi, N., & Alfandi, O. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3025995 · Cited by 151 · see citing works
Achieving Ultra-Reliable Low-Latency Communications: Challenges and Envisioned System Enhancements
Pocovi, G., Shariatmadari, H., Berardinelli, G., Pedersen, K. I., Steiner, J., & Li, Z. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700257 · Cited by 150 · see citing works
Fog Computing for 5G Tactile Industrial Internet of Things: QoE-Aware Resource Allocation Model
Aazam, M., Harras, K. A., & Zeadally, S. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2902574 · Cited by 148 · see citing works
Joint Link Adaptation and Scheduling for 5G Ultra-Reliable Low-Latency Communications
Pocovi, G., Pedersen, K. I., & Mogensen, P. (2018) · IEEE Access · doi:10.1109/access.2018.2838585 · Cited by 143 · see citing works
A Survey on Haptic Technologies for Mobile Augmented Reality
Bermejo, C., & Hui, P. (2021) · ACM Computing Surveys · doi:10.1145/3465396 · Cited by 143 · see citing works
Joint Uplink and Downlink Resource Configuration for Ultra-Reliable and Low-Latency Communications
She, C., Yang, C., & Quek, T. Q. S. (2018) · IEEE Transactions on Communications · doi:10.1109/tcomm.2018.2791598 · Cited by 141 · see citing works
6G mobile communication networks: vision, challenges, and key technologies
Yajun, Z. H. A. O., Guanghui, Y. U., & Hanqing, X. U. (2019) · Scientia Sinica Informationis · doi:10.1360/n112019-00033 · Cited by 141 · see citing works
On the Fundamental Limits of Random Non-Orthogonal Multiple Access in Cellular Massive IoT
Shirvanimoghaddam, M., Condoluci, M., Dohler, M., & Johnson, S. J. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2724442 · Cited by 140 · see citing works
Self-citationURLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence
Ali, R., Zikria, Y. B., Bashir, A. K., Garg, S., & Kim, H. S. (2021) · IEEE Access · doi:10.1109/access.2021.3073806 · Cited by 139 · see citing works
Tactile internet and its applications in 5G era: A comprehensive review
Gupta, R., Tanwar, S., Tyagi, S., & Kumar, N. (2019) · International Journal of Communication Systems · doi:10.1002/dac.3981 · Cited by 137 · see citing works
Deep Learning Aided Grant-Free NOMA Toward Reliable Low-Latency Access in Tactile Internet of Things
Ye, N., Li, X., Yu, H., Wang, A., Liu, W., & Hou, X. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2895086 · Cited by 136 · see citing works
Fang, Y., Chen, P., Cai, G., Lau, F. C. M., Liew, S. C., & Han, G. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2903343 · Cited by 136 · see citing works
A Perspective on Time Toward Wireless 6G
Popovski, P., Chiariotti, F., Huang, K., Kalør, A. E., Kountouris, M., Παππάς, Ν., & Soret, B. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3190205 · Cited by 132 · see citing works
Distributed Optimization for Energy-Efficient Fog Computing in the Tactile Internet
Xiao, Y., & Krunz, M. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2872287 · Cited by 130 · see citing works
Cavalcanti, D. A., Perez-Ramirez, J., Rashid, M. M., Fang, J., Galeev, M., & Stanton, K. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2903414 · Cited by 129 · see citing works
Taj, I., & Jhanjhi, N. Z. (2022) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/120128 · Cited by 129 · see citing works
Future Industry Internet of Things with Zero-trust Security
Li, S., Iqbal, M., & Saxena, N. (2024) · Information Systems Frontiers · doi:10.1007/s10796-021-10199-5 · Cited by 128 · see citing works
Resource Allocation and Beamforming Design in the Short Blocklength Regime for URLLC
Nasir, A. A., Tuan, H. D., Nguyen, H. H., Debbah, M. A., & Poor, H. V. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3032729 · Cited by 127 · see citing works
Toward immersive communications in 6G
Shen, X. (., Gao, J., Li, M., Zhou, C., Hu, S., He, M., & Zhuang, W. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.1068478 · Cited by 124 · see citing works
Adaptive 5G Low-Latency Communication for Tactile InternEt Services
Sachs, J., Andersson, L. A. A., Araújo, J., Curescu, C., Lundsjö, J., Rune, G., Steinbach, E. G., & Wikström, G. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2864587 · Cited by 122 · see citing works
Self-citationTactile Internet for Smart Communities in 5G: An Insight for NOMA-Based Solutions
Budhiraja, I., Tyagi, S., Tanwar, S., Kumar, N., & Rodrigues, J. J. P. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2892763 · Cited by 122 · see citing works
Internet of skills, where robotics meets AI, 5G and the Tactile Internet
Döhler, M., Mahmoodi, T., Lema, M. A., Condoluci, M., Sardis, F., Αντωνάκογλου, Κ., & Aghvami, A. H. (2017) · European Conference on Networks and Communications · doi:10.1109/eucnc.2017.7980645 · Cited by 119 · see citing works
Challenges in Haptic Communications Over the Tactile Internet
Berg, D. V. D., Glans, R., de Koning, D., Kuipers, F. A., Lugtenburg, J., Polachan, K., Venkata, P. T., Singh, C., Turkovic, B., & van Wijk, B. (2017) · IEEE Access · doi:10.1109/access.2017.2764181 · Cited by 119 · see citing works
Predictive Resource Allocation for Tactile Internet Capable Passive Optical LANs
Wong, E., Dias, M. P. I., & Ruan, L. (2017) · Journal of Lightwave Technology · doi:10.1109/jlt.2017.2654365 · Cited by 116 · see citing works
Machine Learning at the Edge: A Data-Driven Architecture With Applications to 5G Cellular Networks
Polese, M., Jana, R., Kounev, V., Zhang, K., Deb, S., & Zorzi, M. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.2999852 · Cited by 115 · see citing works
Varsha, H. S., & Shashikala, K. P. (2017) · International Conference on Innovative Mechanisms for Industry Applications · doi:10.1109/icimia.2017.7975649 · Cited by 114 · see citing works
Wireless Networked Multirobot Systems in Smart Factories
Chen, K., Lin, S., Hsiao, J.-H., Liu, C., Molisch, A. F., & Fettweis, G. P. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.3033753 · Cited by 111 · see citing works
Self-citationIs Multimedia Multisensorial? - A Review of Mulsemedia Systems
Covaci, A., Zou, L., Tal, I., Muntean, G., & Ghinea, G. (2018) · ACM Computing Surveys · doi:10.1145/3233774 · Cited by 110 · see citing works
UAV-Enabled Ultra-Reliable Low-Latency Communications for 6G: A Comprehensive Survey
Masaracchia, A., Li, Y., Nguyen, K. K., Yin, C., Khosravirad, S. R., da Costa, D. B., & Duong, T. Q. (2021) · IEEE Access · doi:10.1109/access.2021.3117902 · Cited by 110 · see citing works
Microwave Liquid Crystal Technology
Maune, H., Jost, M., Reese, R., Polat, E., Nickel, M., & Jakoby, R. (2018) · Crystals · doi:10.3390/cryst8090355 · Cited by 109 · see citing works
Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks
Esswie, A. A., & Pedersen, K. I. (2018) · IEEE Access · doi:10.1109/access.2018.2854292 · Cited by 107 · see citing works
Artificial intelligence-empowered resource management for future wireless communications: A survey
Lin, M., & Zhao, Y. (2020) · China Communications · doi:10.23919/jcc.2020.03.006 · Cited by 106 · see citing works
Electro‐Blown Spun Silk/Graphene Nanoionotronic Skin for Multifunctional Fire Protection and Alarm
Cao, L., Liu, Q., Ren, J., Chen, W., Pei, Y., Kaplan, D. L., & Ling, S. (2021) · Advanced Materials · doi:10.1002/adma.202102500 · Cited by 106 · see citing works
Condoluci, M., Araniti, G., Mahmoodi, T., & Döhler, M. (2016) · IEEE Access · doi:10.1109/access.2016.2573678 · Cited by 102 · see citing works
Nonlinearity-Free Coherent Transmission in Hollow-Core Antiresonant Fiber
Liu, Z., Petrovich, M. N., Richardson, D. J., Poletti, F., Slavı́k, R., Bayvel, P., Karanov, B., Galdino, L., Hayes, J. R., Lavery, D., et al. (2018) · Journal of Lightwave Technology · doi:10.1109/jlt.2018.2883541 · Cited by 101 · see citing works
Immersive Interconnected Virtual and Augmented Reality: A 5G and IoT Perspective
Vega, M. T., Liaskos, C., Abadal, S., Papapetrou, E., Jain, A., Mouhouche, B., Kalem, G., Ergüt, S., Mach, M., Sabol, T., et al. (2020) · Journal of Network and Systems Management · doi:10.1007/s10922-020-09545-w · Cited by 101 · see citing works
5G Use in Healthcare: The Future is Present
Georgiou, K. E., Georgiou, E., & Satava, R. M. (2021) · JSLS Journal of the Society of Laparoscopic & Robotic Surgeons · doi:10.4293/jsls.2021.00064 · Cited by 101 · see citing works
Cell-Free Massive MIMO in the Short Blocklength Regime for URLLC
Nasir, A. A., Tuan, H. D., Ngo, H. Q., Duong, T. Q., & Poor, H. V. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2021.3070836 · Cited by 100 · see citing works
Taj, I., & Zaman, N. (2022) · International Journal of Computing and Digital Systems · doi:10.12785/ijcds/120124 · Cited by 99 · see citing works
Beyranvand, H., Lévesque, M., Maier, M., Salehi, J. A., Verikoukis, C. V., & Tipper, D. (2016) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2016.2599780 · Cited by 96 · see citing works
Adaptive Service Offloading for Revenue Maximization in Mobile Edge Computing With Delay-Constraint
Samanta, A., & Chang, Z. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2892398 · Cited by 96 · see citing works
Cloudlet Enhanced Fiber-Wireless Access Networks for Mobile-Edge Computing
Rimal, B. P., Van, D. P., & Maier, M. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2685578 · Cited by 95 · see citing works
Tactile Internet for Autonomous Vehicles: Latency and Reliability Analysis
Tanwar, S., Tyagi, S., Budhiraja, I., & Kumar, N. (2019) · IEEE Wireless Communications · doi:10.1109/mwc.2019.1800553 · Cited by 94 · see citing works
5G Mobile Services and Scenarios: Challenges and Solutions
Zikria, Y. B., Kim, S. W., Afzal, M. K., Wang, H., & Rehmani, M. H. (2018) · Sustainability · doi:10.3390/su10103626 · Cited by 93 · see citing works
Toward Real-Time Control in Future Wireless Networks: Communication-Control Co-Design
Zhao, P. G., Imran, M. A., Pang, Z., Chen, Z., & Li, L. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1800163 · Cited by 93 · see citing works
Sefati, S. S., & Halunga, S. V. (2023) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4770 · Cited by 92 · see citing works
- 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
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
