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

34 citations

Showing cs.NIShow all

5 papers · 1 filter

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.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…