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Stefan Senk; Marian Ulbricht; Ievgenii A. Tsokalo; Justus Rischke; Shu-Chen Li; Stefanie Speidel; Giang T. Nguyen; Patrick Seeling; Frank H. P. Fitzek

Healing Hands: The Tactile Internet in Future Tele-Healthcare Journal Article

In: Sensors, vol. 22, no. 4, 2022, ISSN: 1424-8220.

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@article{s22041404,

title = {Healing Hands: The Tactile Internet in Future Tele-Healthcare},

author = {Stefan {Senk} and Marian {Ulbricht} and Ievgenii A. {Tsokalo} and Justus {Rischke} and Shu-Chen {Li} and Stefanie {Speidel} and Giang T. {Nguyen} and Patrick {Seeling} and Frank H. P. {Fitzek}},

url = {https://www.mdpi.com/1424-8220/22/4/1404},

doi = {10.3390/s22041404},

issn = {1424-8220},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {4},

abstract = {In the early 2020s, the coronavirus pandemic brought the notion of remotely connected care to the general population across the globe. Oftentimes, the timely provisioning of access to and the implementation of affordable care are drivers behind tele-healthcare initiatives. Tele-healthcare has already garnered significant momentum in research and implementations in the years preceding the worldwide challenge of 2020, supported by the emerging capabilities of communication networks. The Tactile Internet (TI) with human-in-the-loop is one of those developments, leading to the democratization of skills and expertise that will significantly impact the long-term developments of the provisioning of care. However, significant challenges remain that require today\’s communication networks to adapt to support the ultra-low latency required. The resulting latency challenge necessitates trans-disciplinary research efforts combining psychophysiological as well as technological solutions to achieve one millisecond and below round-trip times. The objective of this paper is to provide an overview of the benefits enabled by solving this network latency reduction challenge by employing state-of-the-art Time-Sensitive Networking (TSN) devices in a testbed, realizing the service differentiation required for the multi-modal human-machine interface. With completely new types of services and use cases resulting from the TI, we describe the potential impacts on remote surgery and remote rehabilitation as examples, with a focus on the future of tele-healthcare in rural settings.},

keywords = {},

pubstate = {published},

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Sifat Rezwan; Wooyeol Choi

Artificial Intelligence Approaches for UAV Navigation: Recent Advances and Future Challenges Journal Article

In: IEEE Access, vol. 10, pp. 26320-26339, 2022.

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Wolfgang Kellerer; Frank H. P. Fitzek; Gerhard Paul Fettweis; Holger Boche

BMBF 6G Research Hub 6G-life: Digital transformation and sovereignty of future communication networks Journal Article

In: ITG News, no. 1, 2022.

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Fabrizio Granelli; Riccardo Bassoli; Janis Nötzel; Frank H. P. Fitzek; Holger Boche; Nelson L. S. Fonseca

A Novel Architecture for Future Classical-Quantum Communication Networks Journal Article

In: Wireless Communications and Mobile Computing, vol. 2022, pp. 1-18, 2022.

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Falko Dressler; Carla Fabiana Chiasserini; Frank H. P. Fitzek; Holger Karl; Renato Lo Cigno; Antonio Capone; Claudio Ettore Casetti; Francesco Malandrino; Vincenzo Mancuso; Florian Klingler; Gianluca A. Rizzo

V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing Journal Article

In: IEEE Network, 2022.

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Elif Tasdemir; Vu Nguyen; Giang T. Nguyen; Frank H. P. Fitzek; Martin Reisslein

FSW: Fulcrum Sliding Window Coding for Low-Latency Communication Journal Article

In: IEEE Access, pp. 1-1, 2022.

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Huanzhuo Wu; Yunbin Shen; Xun Xiao; Giang T. Nguyen; Artur Hecker; Frank H. P. Fitzek

Accelerating Industrial IoT Acoustic Data Separation with In-Network Computing Journal Article

In: IEEE Internet of Things Journal, pp. 1–15, 2022.

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Roberto Torre; Muhammad Tayyab; George Koudouridis; Xavier Gelabert; Riccardo Bassoli; Frank H. P. Fitzek

Power efficient mobile small cell placement for network-coded cooperation in UDNs Journal Article

In: Computer Networks, 2021, ISSN: 1389-1286.

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Frank H. P. Fitzek; Holger Boche

Research Landscape – 6G Networks Research in Europe: 6G-life: Digital Transformation and Sovereignty of Future Communication Networks Journal Article

In: IEEE Network, vol. 35, no. 6, pp. 4-5, 2021, ISSN: 0890-8044.

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Sisay Tadesse Arzo; Domenico Scotece; Riccardo Bassoli; Daniel Barattini; Fabrizio Granelli; Luca Foschini; Frank H. P. Fitzek

MSN: A Playground Framework for Design and Evaluation of MicroServices-Based sdN Controller Journal Article

In: Journal of Network and Systems Management, no. 19, pp. 1-31, 2021.

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Stephen Di Adamo; Janis Nötzel; Simon Sekavčnik; Riccardo Bassoli; Roberto Ferrara; Christian Deppe; Frank H. P. Fitzek; Holger Boche

Integrating Quantum Simulation for Quantum-Enhanced Classical Network Emulation Journal Article

In: IEEE Communications Letters, 2021.

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Riccardo Bassoli; Frank H. P. Fitzek; Emilio Calvanese Strinati

Why do we need 6G? Journal Article

In: ITU Journal on Future and Evolving Technologies, vol. 2, no. 6, 2021.

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Mahshid Mehrabi; Shiwei Shen; Yilun Hai; Vincent Latzko; George P. Koudouridis; Xavier Gelabert; Martin Reisslein; Frank H. P. Fitzek

Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks Journal Article

In: Network, vol. 1, no. 2, pp. 191–214, 2021, ISSN: 2673-8732.

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Huanzhuo Wu; Zuo Xiang; Giang T. Nguyen; Yunbin Shen; Frank H. P. Fitzek

Computing Meets Network: COIN-aware Offloading for Data-intensive Blind Source Separation Journal Article

In: IEEE Network Magazine, Special Issue , 2021.

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Tung V. Doan; Giang T. Nguyen; Martin Reisslein; Frank H. P. Fitzek

FAST: Flexible and Low-latency State Transfer in Mobile Edge Computing Journal Article

In: IEEE Access, vol. 9, pp. 115315-115334, 2021.

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Hector Andres Gonzalez; Richard Miru George; Shahzad Muzaffar; Javier Acevedo; Sebastian Hoeppner; Christian Mayr; Jerald Yoo; Frank H. P. Fitzek; Ibrahim Elfadel

Hardware Acceleration of EEG-based Emotion Classification Systems: A Comprehensive Survey Journal Article

In: IEEE Transactions on Biomedical Circuits and Systems, vol. 15, no. 3, pp. 412-442, 2021.

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Zuo Xiang; Sreekrishna Pandi; Juan A. Cabrera; Fabrizio Granelli; Patrick Seeling; Frank H. P. Fitzek

An Open Source Testbed for Virtualized Communication Networks Journal Article

In: IEEE Communications Magazine, vol. 59, iss. 2, pp. 77-83, 2021.

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Hosein K. Nazari; Kiana Ghassabi; Peyman Pahlevani; Daniel Lucani

Improving the Decoding Speed of Packet Recovery in Network Coding Journal Article

In: IEEE Communications Letters, vol. 25, no. 2, pp. 351-355, 2021.

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Sisay Tadesse Arzo; Riccardo Bassoli; Fabrizio Granelli; Frank H. P. Fitzek

Multi-Agent Based Autonomic Network Management Architecture Journal Article

In: IEEE Transactions on Network and Service Management, pp. 1-24, 2021.

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Thomas Höschele; Christoph Dietzel; Daniel Kopp; Frank H. P. Fitzek; Martin Reisslein

Importance of Internet Exchange Point (IXP) infrastructure for 5G: Estimating the impact of 5G use cases Journal Article

In: Telecommunications Policy, vol. 45, no. 3, pp. 102091, 2021, ISSN: 0308-5961.

Abstract | Links | BibTeX

@article{HOESCHELE2021102091,

title = {Importance of Internet Exchange Point (IXP) infrastructure for 5G: Estimating the impact of 5G use cases},

author = {Thomas {H\"{o}schele} and Christoph {Dietzel} and Daniel {Kopp} and Frank H. P. {Fitzek} and Martin {Reisslein}},

url = {https://www.sciencedirect.com/science/article/pii/S0308596120301816},

doi = {https://doi.org/10.1016/j.telpol.2020.102091},

issn = {0308-5961},

year  = {2021},

date = {2021-01-01},

journal = {Telecommunications Policy},

volume = {45},

number = {3},

pages = {102091},

abstract = {While the Internet is ubiquitous in most parts of the world today, the dominant network access technology is gradually shifting from wired to wireless connections. Notably, the ever increasing bandwidth, together with reduced latency in mobile networks, enables a multitude of new use cases for a wide range of industries. These new use cases have typically increased quality requirements for the wireless connection. Accordingly, the Internet architecture needs to keep pace with the recent developments, particularly in light of the holistic approach of the new fifth generation (5G) mobile communication standard. In this study, we shed light on the effects of 5G on the Internet's core, i.e., on the Internet interdomain traffic. The interdomain traffic between distinct autonomous systems (ASs) is exchanged by transit networks as well as through peerings at private network interconnects (PNIs) and public Internet Exchange Points (IXPs). 5G interdomain traffic estimation is especially important for IXPs as these are focal points that aggregate high traffic volumes. We coherently derive twelve 5G use case groups and present an overview of their individual associated 5G use cases. We characterize the communication networking (connection) requirements and the resulting implications of these use cases. Further, we develop and apply a methodology to assess the 5G use cases, so as to rank them in terms of their projected impact on the overall internet traffic growth. Based on this systematic approach, we conclude that the traffic for the use case groups Video in 5G, Health, and Virtual \& Augmented Reality will have the largest impact. We identify a large number of other use case groups, e.g., Live Events, Tactile Internet, and Manufacturing, that will contribute rather small individual fractions to the overall growth of Internet traffic. However, their aggregated contribution to the internet traffic growth will be significant. Our traffic estimation can inform interdomain infrastructure providers, such as IXPs, and policy makers about the likely impact of the introduction of 5G on the interdomain traffic in the Internet.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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While the Internet is ubiquitous in most parts of the world today, the dominant network access technology is gradually shifting from wired to wireless connections. Notably, the ever increasing bandwidth, together with reduced latency in mobile networks, enables a multitude of new use cases for a wide range of industries. These new use cases have typically increased quality requirements for the wireless connection. Accordingly, the Internet architecture needs to keep pace with the recent developments, particularly in light of the holistic approach of the new fifth generation (5G) mobile communication standard. In this study, we shed light on the effects of 5G on the Internet's core, i.e., on the Internet interdomain traffic. The interdomain traffic between distinct autonomous systems (ASs) is exchanged by transit networks as well as through peerings at private network interconnects (PNIs) and public Internet Exchange Points (IXPs). 5G interdomain traffic estimation is especially important for IXPs as these are focal points that aggregate high traffic volumes. We coherently derive twelve 5G use case groups and present an overview of their individual associated 5G use cases. We characterize the communication networking (connection) requirements and the resulting implications of these use cases. Further, we develop and apply a methodology to assess the 5G use cases, so as to rank them in terms of their projected impact on the overall internet traffic growth. Based on this systematic approach, we conclude that the traffic for the use case groups Video in 5G, Health, and Virtual & Augmented Reality will have the largest impact. We identify a large number of other use case groups, e.g., Live Events, Tactile Internet, and Manufacturing, that will contribute rather small individual fractions to the overall growth of Internet traffic. However, their aggregated contribution to the internet traffic growth will be significant. Our traffic estimation can inform interdomain infrastructure providers, such as IXPs, and policy makers about the likely impact of the introduction of 5G on the interdomain traffic in the Internet.

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Zuo Xiang; Patrick Seeling; Frank H. P. Fitzek

You Only Look Once, But Compute Twice: Service Function Chaining for Low-Latency Object Detection in Softwarized Networks Journal Article

In: Applied Sciences, vol. 11, no. 5, 2021, ISSN: 2076-3417.

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Patrick Seeling; Martin Reisslein; Frank H. P. Fitzek

Real-Time Compression for Tactile Internet Data Streams Journal Article

In: Sensors, vol. 21, no. 5, 2021, ISSN: 1424-8220.

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Sisay Tadesse Arzo; Claire Naiga; Fabrizio Granelli; Riccardo Bassoli; Michael Devetsikiotis; Frank H. P. Fitzek

A Theoretical Discussion and Survey of Network Automation for IoT: Challenges and Opportunity Journal Article

In: IEEE Internet of Things Journal, pp. 1-1, 2021.

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Jonathan Rodriguez; Georgios P. Koudouridis; Xavier Gelabert; Muhammad Tayyab; Riccardo Bassoli; Frank H. P. Fitzek; Roberto Torre; Raed A. Abd-Alhameed; Maryam Sahedin; Issa Elfergani; Sarah Irum; Gerrit Schulte; Pedro Diogo; Fatma Marzouk; Marcus de Ree; Georgios Mantas; Ilias Politis

Secure Virtual Mobile Small Cells: A Stepping Stone Towards 6G Journal Article

In: IEEE Communications Standards Magazine, pp. 1-15, 2021.

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Roberto Ferrara; Riccardo Bassoli; Christian Deppe; Frank H. P. Fitzek; Holger Boche

The Computational and Latency Advantage of Quantum Communication Networks Journal Article

In: IEEE Communications Magazine, vol. 59, no. 6, pp. 132-137, 2021.

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Justus Rischke; Peter Sossalla; Sebastian A. W. Itting; Frank H. P. Fitzek; Martin Reisslein

5G Campus Networks: A First Measurement Study Journal Article

In: IEEE Access, vol. 9, pp. 121786-121803, 2021.

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Zuo Xiang; Malte Höweler; Dongho You; Martin Reisslein; Frank H. P. Fitzek

X-MAN: A Non-intrusive Power Manager for Energy-adaptive Cloud-native Network Functions Journal Article

In: IEEE Transactions on Network and Service Management, 2021.

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Elif Tasdemir; Máté Tömösközi; Juan A. Cabrera; Frank Gabriel; Dongho You; Frank H. P. Fitzek; Martin Reisslein

SpaRec: Sparse Systematic RLNC Recoding in Multi-hop Networks Journal Article

In: IEEE Access, pp. 1-1, 2021.

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Sifat Rezwan; Wooyeol Choi

Priority-Based Joint Resource Allocation With Deep Q-Learning for Heterogeneous NOMA Systems Journal Article

In: IEEE Access, vol. 9, pp. 41468-41481, 2021.

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Sifat Rezwan; Wooyeol Choi

A survey on applications of reinforcement learning in flying ad-hoc networks Journal Article

In: Electronics, vol. 10, no. 4, pp. 449, 2021.

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Roberto Torre; Israel Leiva-Mayorga; Sreekrishna Pandi; Hani Salah; Giang T. Nguyen; Frank H. P. Fitzek

Implementation of Network-Coded Cooperation for Energy Efficient Content Distribution in 5G Mobile Small Cells Journal Article

In: IEEE Access, 2020.

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Johannes V. S. Busch; Vincent Latzko; Martin Reisslein; Frank H. P. Fitzek

Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge Journal Article

In: IEEE Open Journal of Intelligent Transportation Systems, vol. 1, pp. 201-216, 2020.

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Vu Nguyen; Elif Tasdemir; Giang T. Nguyen; Daniel E. Lucani Rötter; Frank H. P. Fitzek; Martin Reisslein

DSEP Fulcrum: Dynamic Sparsity and Expansion Packets for Fulcrum Network Coding Journal Article

In: IEEE Access, vol. 8, pp. 78293-78314, 2020.

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Vu Nguyen; Juan A. Cabrera; Giang T. Nguyen; Dongho You; Frank H. P. Fitzek

Versatile Network Codes: Energy Consumption in Heterogeneous IoT Devices Journal Article

In: IEEE Access, 2020.

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Sisay Tadesse Arzo; Riccardo Bassoli; Fabrizio Granelli; Frank H. P. Fitzek

Study of Virtual Network Function Placement in 5G Cloud Radio Access Network Journal Article

In: IEEE Transactions on Network and Service Management, pp. 1-1, 2020.

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Justus Rischke; Peter Sossalla; Hani Salah; Frank H. P. Fitzek; Martin Reisslein

QR-SDN: Towards Reinforcement Learning States, Actions, and Rewards for Direct Flow Routing in Software-Defined Networks Journal Article

In: IEEE Access, 2020, ISSN: 2169-3536.

Abstract | Links | BibTeX

@article{9201294,

title = {QR-SDN: Towards Reinforcement Learning States, Actions, and Rewards for Direct Flow Routing in Software-Defined Networks},

author = {Justus {Rischke} and Peter {Sossalla} and Hani {Salah} and Frank H. P. {Fitzek} and Martin {Reisslein}},

doi = {10.1109/ACCESS.2020.3025432},

issn = {2169-3536},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Access},

abstract = {Flow routing can achieve fine-grained network performance optimizations by routing distinct packet traffic flows over different network paths. While the centralized control of Software-Defined Networking (SDN) provides a control framework for implementing centralized network optimizations, e.g., optimized flow routing, the implementation of flow routing that is adaptive to varying traffic loads requires complex models. The goal of this study is to pursue a model-free approach that is based on reinforcement learning. We design and evaluate QR-SDN, a classical tabular reinforcement learning approach that directly represents the routing paths of individual flows in its state-action space. Due to the direct representation of flow routes in the QR-SDN state-action space, QR-SDN is the first reinforcement learning SDN routing approach to enable multiple routing paths between a given source (ingress) switch\textendashdestination (egress) switch pair while preserving the flow integrity. That is, in QR-SDN, packets of a given flow take the same routing path, while different flows with the same source-destination switch pair may take different routes (in contrast, the recent DRL-TE approach splits a given flow on a per-packet basis incurring high complexity and out-of-order packets). We implemented QR-SDN in a Software-Defined Network (SDN) emulation testbed. Our evaluations demonstrate that the flow-preserving multi-path routing of QR-SDN achieves substantially lower flow latencies than prior routing approaches that determine only a single source-destination route. A limitation of QR-SDN is that the state-action space grows exponentially with the number of network nodes. Addressing the scalability of direct flow routing, e.g., through routing only high-rate flows, is an important direction for future research. The QR-SDN code is made publicly available to support this future research.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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Fabrizio Granelli; Cristina Costa; Jiajing Zhang; Riccardo Bassoli; Frank H. P. Fitzek

Design of an On-Demand Agile 5G Multi-Access Edge Computing Platform Using Aerial Vehicles Journal Article

In: IEEE Communications Standards Magazine, vol. 4, no. 4, pp. 34-41, 2020.

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Riccardo Bassoli; Fabrizio Granelli; Claudio Sacchi; Stefano Bonafini; Frank H. P. Fitzek

CubeSat-Based 5G Cloud Radio Access Networks: A Novel Paradigm for On-Demand Anytime/Anywhere Connectivity Journal Article

In: IEEE Vehicular Technology Magazine, vol. 15, no. 2, pp. 39-47, 2020.

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Israel Leiva-Mayorga; Roberto Torre; Vicent Plà Boscà; Sreekrishna Pandi; Giang T. Nguyen; Jorge Martinez-Bauset; Frank H. P. Fitzek

Network-coded cooperation and multi-connectivity for massive content delivery Journal Article

In: IEEE Access, 2020.

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Mahshid Mehrabi; Dongho You; Vincent Latzko; Hani Salah; Martin Reisslein; Frank H. P. Fitzek

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey Journal Article

In: IEEE Access, 2019.

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