@inproceedings{Kappelt2025:MachineLearning,

title = {Machine Learning for In-Network Spatial Localization within Wireless Mesh Networks},

author = {Peter Kappelt and Christian Leonard Vielhaus and Justus Rischke and Marek Sobe and Frank H. P. Fitzek},

year  = {2025},

date = {2025-06-08},

urldate = {2025-06-01},

booktitle = {IEEE International Conference on Communications (ICC)},

pages = {5.97},

address = {Montreal, Canada},

abstract = {Wireless localization is a crucial technology for determining the spatial 

position of nodes within a wireless network, with applications ranging from 

indoor navigation to asset tracking and robotic movement. However, 

traditional localization methods often rely on specialized hardware, while 

other localization methods suitable for commodity hardware tend to have 

limited accuracy. To improve localization accuracy, we propose models that 

integrate machine learning (ML) techniques for distance and position 

estimation. We observe improved localization performance by incorporating 

not only signal strength indicators from the physical layer, but also 

features specific to the mesh link layer of wireless mesh networks as model 

inputs. Furthermore, a proposed end-to-end machine learning localization 

model demonstrates promising performance by leveraging diverse network 

features for the direct inference of node position estimates. 

We evaluate the models using experimental data from a measurement campaign 

we conducted in an office environment hosting a wireless mesh testbed. Our 

method achieves an absolute position error of less than two meters. Using 

both information specific to mesh networks and novel machine learning 

methods yields improved performance, making our approach a promising 

solution for industrial applications.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Yilm2503:Evaluation,

title = {Evaluation of End-to-End Connection Recovery After Traffic Path Disruption in BATMAN Mesh Networks},

author = {Isikcan Yilmaz and Aswin Palathumveettil Jagadeesan and Jiajing Zhang and Justus Rischke and Giang T. Nguyen and Frank H. P. Fitzek},

year  = {2025},

date = {2025-03-23},

urldate = {2025-03-01},

booktitle = {IEEE Wireless Communications and Networking Conference (WCNC)},

address = {Milan, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Seidel24:UEs,

title = {On the Impact of 5G User Equipments on Latency across Chipset Generations},

author = {Mauri Seidel and Andreas I. Grohmann and Christopher Lehmann and Justus Rischke and Frank H. P. Fitzek},

doi = {10.1109/WoWMoM60985.2024.00039},

year  = {2024},

date = {2024-06-04},

urldate = {2024-06-04},

booktitle = {International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)},

pages = {177-185},

address = {Perth, Australia},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stei2306:Demo,

title = {Demo: The Future of Dog Walking - Four-Legged Robots and Augmented Reality},

author = {Jannek Steinke and Justus Rischke and Peter Sossalla and Johannes Hofer and Christian Leonard Vielhaus and Nico Hofe and Frank H. P. Fitzek},

doi = {10.1109/WoWMoM57956.2023.00060},

year  = {2023},

date = {2023-08-02},

urldate = {2023-08-02},

booktitle = {International Symposium on a World of Wireless, Mobile and 

Multimedia Networks (WoWMoM) Demo Session (WoWMoM 2023 Demo Session)},

publisher = {IEEE},

address = {Boston, MA, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{vomH2306:Demo,

title = {Demo: Robotics meets Augmented Reality: Real-Time Mapping with Boston Dynamics Spot and Microsoft HoloLens 2},

author = {Nico Hofe and Peter Sossalla and Johannes Hofer and Christian Leonard Vielhaus and Justus Rischke and Jannek Steinke and Frank H. P. Fitzek},

doi = {10.1109/WoWMoM57956.2023.00062},

year  = {2023},

date = {2023-08-02},

urldate = {2023-08-02},

booktitle = {International Symposium on a World of Wireless, Mobile and 

Multimedia Networks (WoWMoM) Demo Session (WoWMoM 2023 Demo Session)},

publisher = {IEEE},

address = {Boston, MA, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Soss2307:Remote,

title = {Remote Controlling Mobile Robots With Adaptive Video Streaming and Augmented Reality},

author = {Peter Sossalla and Jannek Steinke and Christian Leonard Vielhaus and Johannes Hofer and Justus Rischke and Frank H. P. Fitzek},

doi = {10.1109/BlackSeaCom58138.2023.10299775},

year  = {2023},

date = {2023-07-04},

urldate = {2023-07-04},

booktitle = {International Black Sea Conference on Communications and 

Networking (BlackSeaCom)},

pages = {45-50},

publisher = {IEEE},

address = {Istanbul, Turkiye},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Viel2307:Estimating,

title = {Estimating Link Capacity With Uncertainty Bounds in Cellular Networks},

author = {Christian Leonard Vielhaus and Osel Lhamo and Johannes V. S. Busch and Justus Rischke and Vincent Latzko and Sandra Zimmermann and Peter Sossalla and Daniel Fabian Külzer and Frank H. P. Fitzek},

doi = {10.1109/BlackSeaCom58138.2023.10299770},

year  = {2023},

date = {2023-07-04},

urldate = {2023-07-04},

booktitle = {IEEE International Black Sea Conference on Communications and 

Networking (BlackSeaCom)},

pages = {117-122},

publisher = {IEEE},

address = {Istanbul, Turkiye},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Hofe2305:Circular,

title = {Circular Frame Buffer to Enhance Map Synchronization in Edge Assisted SLAM},

author = {Johannes Hofer and Peter Sossalla and Justus Rischke and Christian Leonard Vielhaus and Martin Reisslein and Frank H. P. Fitzek},

doi = {10.1109/ICC45041.2023.10278556},

year  = {2023},

date = {2023-05-28},

urldate = {2023-05-01},

booktitle = {International Conference on Communications (ICC)},

pages = {210-215},

publisher = {IEEE},

address = {Rome, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@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}

}

@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}

}

@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 Külzer 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}

}

@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}

}

@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}

}

@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}

}

@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}

}