output
20142024
most citedBerlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies

34 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

9 papers

cs.IT2024

Indoor Sensing with Measurements

Vijaya Yajnanarayana, Philipp Geuer, Satyam Dwivedi

The cellular wireless networks are evolving towards acquiring newer capabilities, such as sensing, which will support novel use cases and applications. Many of these require indoor…

eess.SP2024★ 23 cited

Reconfigurable Intelligent Surfaces for 6G Mobile Networks: An Industry R&D Perspective

Maik Sode, Michael Ponschab, Lucas N. Ribeiro +9

The reconfigurable intelligent surface (RIS) technology is a potential solution to enhance network capacity and coverage without significant investment in additional infrastructure…

cs.NI2023

Performance of 802.11be Wi-Fi 7 with Multi-Link Operation on AR Applications

Molham Alsakati, Charlie Pettersson, Sebastian Max +2

Since its first release in the late 1990s, Wi-Fi has been updated to keep up with evolving user needs. Recently, Wi-Fi and other radio access technologies have been pushed to their…

cs.NI2023★ 1 cited

Towards Deterministic Communications in 6G Networks: State of the Art, Open Challenges and the Way Forward

Gourav Prateek Sharma, Dhruvin Patel, Joachim Sachs +13

Over the last decade, society and industries are undergoing rapid digitization that is expected to lead to the evolution of the cyber-physical continuum. End-to-end deterministic c…

cs.NI2023★ 33 cited

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…

cs.NI2023★ 17 cited

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…

cs.LG2022★ 34 cited

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…

eess.SP2019★ 25 cited

Capacity Bounds and Degrees of Freedom for MIMO Antennas Constrained by Q-Factor

Casimir Ehrenborg, Mats Gustafsson, Miloslav Capek

The optimal spectral efficiency and number of independent channels for MIMO antennas in isotropic multipath channels are investigated when bandwidth requirements are placed on the…

cs.NI2014★ 3 cited

Sensing for Spectrum Sharing in Cognitive LTE-A Cellular Networks

Prasanth Karunakaran, Thomas Wagner, Ansgar Scherb +1

In this work we present a case for dynamic spectrum sharing between different operators in systems with carrier aggregation (CA) which is an important feature in 3GPP LTE-A systems…