27 citations · 75 across the 14 of their papers we have counts for
19 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…
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…
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…