PostDoc Researcher Justus Rischke received his Dipl.-Ing. degree in electrical engineering from the Technical University of Dresden (TU Dresden), Dresden, Germany, in 2017 and his Ph.D. degree from the Deutsche Telekom Chair of Communication Networks in 2023. His research interests include reinforcement learning in software-defined networks (SDN) for low-latency communication, 5G Campus Networks, and Cooperative Simultaneous Localization and Mapping (C-SLAM) .
Phone: +49 351 463-42114 Email: Justus.Rischke@tu-dresden.de Room: BAR/I9
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Diploma Thesis
Study Thesis
Sossalla, Peter; Hofer, Johannes; Vielhaus, Christian Leonard; Rischke, Justus; Fitzek, Frank H. P.
Offloading Visual SLAM Processing to the Edge: An Energy Perspective Proceedings Article
In: 2023 International Conference on Information Networking (ICOIN) (ICOIN 2023), Bangkok, Thailand, 2023.
Links | BibTeX
@inproceedings{Soss2301:Offloading, title = {Offloading Visual SLAM Processing to the Edge: An Energy Perspective}, author = {Peter {Sossalla} and Johannes {Hofer} and Christian Leonard {Vielhaus} and Justus {Rischke} and Frank H. P. {Fitzek}}, doi = {10.1109/ICOIN56518.2023.10048921}, year = {2023}, date = {2023-01-01}, urldate = {2023-01-01}, booktitle = {2023 International Conference on Information Networking (ICOIN) (ICOIN 2023)}, address = {Bangkok, Thailand}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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Sossalla, Peter; Hofer, Johannes; Rischke, Justus; Busch, Johannes V. S.; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.
Optimizing Edge SLAM: Judicious Parameter Settings and Parallelized Map Updates Proceedings Article
In: 2022 IEEE Global Communications Conference: IoT and Sensor Networks (Globecom 2022 IoTSN), Rio de Janeiro, Brazil, 2022.
@inproceedings{Soss2212:Optimizing, title = {Optimizing Edge SLAM: Judicious Parameter Settings and Parallelized Map Updates}, author = {Peter {Sossalla} and Johannes {Hofer} and Justus {Rischke} and Johannes V. S. {Busch} and Giang T. {Nguyen} and Martin {Reisslein} and Frank H. P. {Fitzek}}, doi = {10.1109/GLOBECOM48099.2022.10001128}, year = {2022}, date = {2022-12-01}, urldate = {2022-12-01}, booktitle = {2022 IEEE Global Communications Conference: IoT and Sensor Networks (Globecom 2022 IoTSN)}, address = {Rio de Janeiro, Brazil}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Rischke, Justus; Vielhaus, Christian Leonard; Sossalla, Peter; Wang, Junyue; Fitzek, Frank H. P.
Comparison of UPF acceleration technologies and their tail-latency for URLLC Proceedings Article
In: 2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (NFV-SDN'22), Phoenix, USA, 2022.
Abstract | Links | BibTeX
@inproceedings{Risc2211:Comparison, title = {Comparison of UPF acceleration technologies and their tail-latency for URLLC}, author = {Justus {Rischke} and Christian Leonard {Vielhaus} and Peter {Sossalla} and Junyue {Wang} and Frank H. P. {Fitzek}}, doi = {10.1109/NFV-SDN56302.2022.9974798}, year = {2022}, date = {2022-11-14}, urldate = {2022-11-14}, booktitle = {2022 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) (NFV-SDN'22)}, address = {Phoenix, USA}, abstract = {The industry is striving to deploy private cellular networks in their factories. The envisioned use cases, such as industrial automation, require Ultra-Reliable and Low-Latency Communications (URLLC). In 5G, the User Plane Function (UPF) handles user traffic and hence significantly influences the performance in terms of latency and throughput. However, present UPFs are often user-space applications running on commercial off-the-shelf (COTS) servers introducing computational delays that follow long-tailed distributions. In this work, we compare modern packet processing acceleration technologies such as XDP, DPDK, and P4 and their respective tail-latency performance. Our results demonstrate the clear advantage of hardware-based P4 implementations in terms of reduced tail-latency of about 6 μs at a percentile of 99.999% for small packets. Furthermore, we also demonstrate that software-based frameworks can compete with hardware-based approaches. For example, DPDK achieves tail-latencies of approximately 23 μs at a percentile of 99.999%. Based on our findings, we illustrate the trade-offs between low-cost software- and high-performant hardware-based packet processing systems.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Sossalla, Peter; Hofer, Johannes; Rischke, Justus; Vielhaus, Christian Leonard; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.
DynNetSLAM: Dynamic Visual SLAM Network Offloading Journal Article
In: IEEE Access, 2022.
@article{sossalla2022DynNetSLAM, title = {DynNetSLAM: Dynamic Visual SLAM Network Offloading}, author = {Peter {Sossalla} and Johannes {Hofer} and Justus {Rischke} and Christian Leonard {Vielhaus} and Giang T. {Nguyen} and Martin {Reisslein} and Frank H. P. {Fitzek}}, doi = { 10.1109/ACCESS.2022.3218774}, year = {2022}, date = {2022-11-01}, urldate = {2022-01-01}, journal = {IEEE Access}, publisher = {IEEE}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Vielhaus, Christian Leonard; Busch, Johannes V. S.; Geuer, Philipp; Palaios, Alexandros; Rischke, Justus; Külzer, Daniel Fabian; Latzko, Vincent; Fitzek, Frank H. P.
Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks Proceedings Article
In: The 20th ACM International Symposium on Mobility Management and Wireless Access (ACM MobiWac 2022), Montreal, Canada, 2022.
@inproceedings{Viel2210:Handover, title = {Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks}, author = {Christian Leonard {Vielhaus} and Johannes V. S. {Busch} and Philipp {Geuer} and Alexandros {Palaios} and Justus {Rischke} and Daniel Fabian {K\"{u}lzer} and Vincent {Latzko} and Frank H. P. {Fitzek}}, doi = {https://doi.org/10.1145/3551660.3560913}, year = {2022}, date = {2022-10-24}, urldate = {2022-10-01}, booktitle = {The 20th ACM International Symposium on Mobility Management and Wireless Access (ACM MobiWac 2022)}, address = {Montreal, Canada}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Sossalla, Peter; Rischke, Justus; Baier, Fabian; Itting, Sebastian A. W.; Nguyen, Giang T.; Fitzek, Frank H. P.
Private 5G Solutions for Mobile Industrial Robots: A Feasibility Study Proceedings Article
In: 27th IEEE Symposium on Computers and Communications (ISCC 2022), Rhodes island, Greece, 2022.
@inproceedings{Soss2206:5GMobile, title = {Private 5G Solutions for Mobile Industrial Robots: A Feasibility Study}, author = {Peter {Sossalla} and Justus {Rischke} and Fabian {Baier} and Sebastian A. W. {Itting} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, doi = {10.1109/ISCC55528.2022.9912791}, year = {2022}, date = {2022-10-19}, urldate = {2022-06-30}, booktitle = {27th IEEE Symposium on Computers and Communications (ISCC 2022)}, address = {Rhodes island, Greece}, abstract = {Mobile robots are an essential part of the vision of flexible production in a smart factory. To monitor and connect the robots, reliable and low latency communication is necessary. In this work, we conduct packet-based active measurements to evaluate the performance of a state-of-the-art 5G standalone system in a production environment. The focus is on whether 5G connections can meet the requirements specified by 3GPP in terms of delay and reliability. The results indicate that without cross-traffic, the requirement of a delay of less than 10 ms for 99.9 % of the packets can be met for the remote control and fleet management of mobile robots. However, as soon as cross-traffic is injected, especially in the uplink, the upper percentiles of the delay increase significantly, thus failing to hold the reliability requirements.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Rischke, Justus; Vielhaus, Christian Leonard; Sossalla, Peter; Itting, Sebastian A. W.; Nguyen, Giang T.; Fitzek, Frank H. P.
Empirical Study of 5G Downlink & Uplink Scheduling and its Effects on Latency Proceedings Article
In: 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (WoWMoM 2022), Belfast, United Kingdom (Great Britain), 2022.
@inproceedings{Risc2206:Empirical, title = {Empirical Study of 5G Downlink \& Uplink Scheduling and its Effects on Latency}, author = {Justus {Rischke} and Christian Leonard {Vielhaus} and Peter {Sossalla} and Sebastian A. W. {Itting} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, doi = {10.1109/WoWMoM54355.2022.00017}, year = {2022}, date = {2022-06-14}, urldate = {2022-06-14}, booktitle = {2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (WoWMoM 2022)}, address = {Belfast, United Kingdom (Great Britain)}, abstract = {5G campus networks, whose advantages include flexible deployment, can be a promising candidate for production plants to complement existing Wifi-based networks. Toward that goal, 5G has to satisfy strict requirements about real-time communication to facility novel use cases. However, the realtime- capability of 5G is not well understood yet. In this work, we deliver insights into the functioning of 5G NR RAN Release 15, which includes actual one-way delay and Round-Trip Time (RTT) measurements for Downlink and Uplink in a private 5G Standalone campus network. The extensive measurement results reveal that these delays are correlated, and the corresponding RTT, i.e. the sum of Downlink and Uplink delays, is discreetly clustered, ranging between 12ms and 40ms. The measurements also show that the distribution of RTTs is mainly dependent on the packet rates and their inter-arrival times. Our study helps expand the current understanding of 5G used for latency-critical applications. We make the code and the measurement data traces publicly available as the IEEE DataPort 5G Campus Networks: Measurement Traces dataset (DOI 10.21227/xe3c-e968).}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Sossalla, Peter; Rischke, Justus; Fitzek, Frank H. P.
Enhanced One-Way Delay Monitoring with OpenFlow Proceedings Article
In: 2022 IEEE 36th International Conference on Information Networking (ICOIN 2022), Jeju Island, Korea, 2022.
@inproceedings{Soss2201:OWD, title = {Enhanced One-Way Delay Monitoring with OpenFlow}, author = {Peter {Sossalla} and Justus {Rischke} and Frank H. P. {Fitzek}}, doi = { 10.1109/ICOIN53446.2022.9687289}, year = {2022}, date = {2022-01-12}, urldate = {2022-01-12}, booktitle = {2022 IEEE 36th International Conference on Information Networking (ICOIN 2022)}, address = {Jeju Island, Korea}, abstract = {Network monitoring is an important task in future networks to mitigate outages, guarantee low latency and high throughput, and quickly adapt to changes of network conditions. Software-Defined Networking (SDN) enables dynamic adaptation to changing network environments through the ability to program network behavior. However, to react properly to changing environments, precise and credible information about performance metrics such as latency is necessary. Recent research activities exploited OpenFlow, an SDN protocol, to measure delays inside the network, without the need for additional hard- or software. In this paper, we propose an improved method to measure one-way delays, which can handle asymmetrical delays between the SDN controller and the switches. We implemented our approach in a hardware testbed to evaluate it in a setup with asymmetrical delays and traffic loads. The results show that we are able to measure asymmetrical delays in the network. Additionally, the proposed solution is capable of discovering the network topology and therefore gives together with the performance metrics the information for efficient routing decisions. In addition, we make the source code of our implementation publicly available.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Sossalla, Peter; Rischke, Justus; Nguyen, Giang T.; Fitzek, Frank H. P.
Offloading Robot Control with 5G Proceedings Article
In: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022), Las Vegas, USA, 2022.
@inproceedings{Sossalla2201:Offloading, title = {Offloading Robot Control with 5G}, author = {Peter {Sossalla} and Justus {Rischke} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, doi = { 10.1109/CCNC49033.2022.9700709}, year = {2022}, date = {2022-01-08}, urldate = {2022-01-08}, booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)}, address = {Las Vegas, USA}, abstract = {Simultaneous Localization and Mapping (SLAM), among other critical functions of mobile robots, such as navigation, are computationally expensive. When deployed at the robot, those functions demand high energy consumption and result in shorter operation time. Offloading SLAM to an Edge Cloud (EC) can significantly reduce the robot's computing demand and resources, subsequently reducing energy consumption. We offload intelligence of mobile robot control functionality, i.e., navigation, localization, and control to an EC. The EC processes sensor data and sends the robot the directional velocities. Meanwhile, a 5G wireless connection ensures the necessary low latencies and high throughputs. We demonstrate the feasibility of offloading SLAM and navigation in an EC based on a use case in automotive production. Additionally, we developed a digital twin of the robot and visualized its current sensor data.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Senk, Stefan; Ulbricht, Marian; Tsokalo, Ievgenii A.; Rischke, Justus; Li, Shu-Chen; Speidel, Stefanie; Nguyen, Giang T.; Seeling, Patrick; Fitzek, Frank H. P.
Healing Hands: The Tactile Internet in Future Tele-Healthcare Journal Article
In: Sensors, vol. 22, no. 4, 2022, ISSN: 1424-8220.
@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}, tppubtype = {article} }