42 citations · 310 across the 32 of their papers we have counts for
32 papers
Fly-PRAC: Packet Recovery for Random Linear Network Coding
Hosein K. Nazari, Stefan Senk, Peyman Pahlevani +2
Network Coding (NC) is a compelling solution for increasing network efficiency. However, it discards corrupted packets and cannot achieve optimal performance in noisy communication…
Measurement Study of Programmable Network Coding in Cloud-native 5G and Beyond Networks
Osel Lhamo, Tung V. Doan, Elif Tasdemir +5
Emerging 5G/6G use cases span various industries, necessitating flexible solutions that leverage emerging technologies to meet diverse and stringent application requirements under…
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice
Johannes V. S. Busch, Robert Voelckner, Peter Sossalla +3
Traffic congestion in dense urban centers presents an economical and environmental burden. In recent years, the availability of vehicle-to-anything communication allows for the tra…
An Overview of the NET Playground -- A Heterogeneous, Multi-Functional Network Test Bed
Paul Schwenteck, Sandra Zimmermann, Caspar von Lengerke +3
This paper provides an overview of the hardware and software components used in our test bed project the NET Playground. All source information is stored in the GitLab repository (…
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
Xiaobing Dai, Huanzhuo Wu, Siyi Wang +4
Many applications involve humans in the loop, where continuous and accurate human motion monitoring provides valuable information for safe and intuitive human-machine interaction.…
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
Alexandros Palaios, Christian L. Vielhaus, Daniel F. Külzer +11
As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network. Machine learning provides…
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios +14
The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions fr…
Functional Split of In-Network Deep Learning for 6G: A Feasibility Study
Jia He, Huanzhuo Wu, Xun Xiao +2
In existing mobile network systems, the data plane (DP) is mainly considered a pipeline consisting of network elements end-to-end forwarding user data traffics. With the rapid matu…
A New Agent-Based Intelligent Network Architecture
Sisay Tadesse Arzo, Domenico Scotece, Riccardo Bassoli +3
The advent of 5G and the design of its architecture has become possible because of the previous individual scientific works and standardization efforts on cloud computing and netwo…
TSN-FlexTest: Flexible TSN Measurement Testbed (Extended Version)
Marian Ulbricht, Stefan Senk, Hosein K. Nazari +4
Robust, reliable, and deterministic networks are essential for a variety of applications. In order to provide guaranteed communication network services, Time-Sensitive Networking (…
Neuromorphic Twins for Networked Control and Decision-Making
Holger Boche, Yannik N. Böck, Christian Deppe +1
We consider the problem of remotely tracking the state of and unstable linear time-invariant plant by means of data transmitted through a noisy communication channel from an algori…
On the Need of Neuromorphic Twins to Detect Denial-of-Service Attacks on Communication Networks
Holger Boche, Rafael F. Schaefer, H. Vincent Poor +1
As we are more and more dependent on the communication technologies, resilience against any attacks on communication networks is important to guarantee the digital sovereignty of o…
Network Functional Compression for Control Applications
Sifat Rezwan, Juan A. Cabrera, Frank H. P. Fitzek
The trend of future communication systems is to aim for the steering and control of cyber physical systems. These systems can quickly become congested in environments like those pr…
On the Need of Analog Signals and Systems for Digital-Twin Representations
Holger Boche, Ullrich J. Mönich, Yannik N. Böck +1
We consider the task of converting different digital descriptions of analog bandlimited signals and systems into each other, with a rigorous application of mathematical computabili…
An Analytical Study on Functional Split in Martian 3D Networks
Stefano Bonafini, Claudio Sacchi, Riccardo Bassoli +3
As space agencies are planning manned missions to reach Mars, researchers need to pave the way for supporting astronauts during their sojourn. This will also be achieved by providi…
Reference Network and Localization Architecture for Smart Manufacturing based on 5G
Stephan Ludwig, Doris Aschenbrenner, Marvin Scharle +7
5G promises to shift Industry 4.0 to the next level by allowing flexible production. However, many communication standards are used throughout a production site, which will stay so…
In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks
Huanzhuo Wu, Jia He, Máté Tömösközi +2
Modern manufacturers are currently undertaking the integration of novel digital technologies - such as 5G-based wireless networks, the Internet of Things (IoT), and cloud computing…
Integrating Quantum Simulation for Quantum-Enhanced Classical Network Emulation
Stephen DiAdamo, Janis Nötzel, Simon Sekavčnik +5
We describe a method of investigating the near-term potential of quantum communication technology for communication networks from the perspective of current networks. For this, we…
In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory
Huanzhuo Wu, Yunbin Shen, Xun Xiao +2
Modern manufacturing is now deeply integrating new technologies such as 5G, Internet-of-things (IoT), and cloud/edge computing to shape manufacturing to a new level -- Smart Factor…
V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing
Falko Dressler, Carla Fabiana Chiasserini, Frank H. P. Fitzek +8
As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: instead of sending all data and tasks from an end user's d…
The Computational and Latency Advantage of Quantum Communication Networks
Roberto Ferrara, Riccardo Bassoli, Christian Deppe +2
This article summarises the current status of classical communication networks and identifies some critical open research challenges that can only be solved by leveraging quantum t…
Secure Virtual Mobile Small Cells: A Stepping Stone Towards 6G
J. Rodriguez, G. P. Koudouridis, X. Gelabert +14
As 5th Generation research reaches the twilight, the research community must go beyond 5G and look towards the 2030 connectivity landscape, namely 6G. In this context, this work ta…
Why We Should NOT Talk about 6G
Frank H. P. Fitzek, Patrick Seeling
While 5G mobile communication systems are currently in deployment, researchers around the world have already started to discuss 6G technology and funding agencies started their fir…
S-PRAC: Fast Partial Packet Recovery with Network Coding in Very Noisy Wireless Channels
Kurniawan D. Irianto, Juan A. Cabrera, Giang T. Nguyen +2
Well-known error detection and correction solutions in wireless communications are slow or incur high transmission overhead. Recently, notable solutions like PRAC and DAPRAC, imple…