34 citations · 91 across the 8 of their papers we have counts for
8 papers
CISSIR: Beam Codebooks with Self-Interference Reduction Guarantees for Integrated Sensing and Communication Beyond 5G
Rodrigo Hernangómez, Jochen Fink, Renato L. G. Cavalcante +1
We propose a beam codebook design for integrated sensing and communication (ISAC) that reduces self-interference (SI) to alleviate analog distortion. Our optimization framework, wh…
Demonstration of a Real-Time Testbed for D-Band Integrated Sensing and Communication
Sven Wittig, Rodrigo Hernangomez, Karen Vardanyan +4
The D-band, spanning 110 GHz to 170 GHz, has emerged as a relevant frequency range for future mobile communications and radar sensing applications, particularly in the context of 6…
Optimized Detection with Analog Beamforming for Monostatic Integrated Sensing and Communication
Rodrigo Hernangómez, Jochen Fink, Renato L. G. Cavalcante +2
In this paper, we formalize an optimization framework for analog beamforming in the context of monostatic integrated sensing and communication (ISAC), where we also address the pro…
Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal
Philipp Rosemann, Sanket Partani, Marc Miranda +14
Sensing plays a crucial role in autonomous and assisted vehicular driving, as well as in the operation of autonomous drones. The traditional segregation of communication and onboar…
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…
Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann +13
This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), to…
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…
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy
Rodrigo Hernangomez, Igor Bjelakovic, Lorenzo Servadei +1
Commercial radar sensing is gaining relevance and machine learning algorithms constitute one of the key components that are enabling the spread of this radio technology into areas…