output
20132026
most citedEmpowering the 6G Cellular Architecture with Open RAN

105 citations

21 papers

cs.NI2026★ 3 cited

Automated Mobile Video Objective Testing System

Eric Petajan, Jonathan Lynam, Morey Antebi +5

Applying QoE analysis to optimize usage of cellular spectrum is of high interest to mobile network operators. A key challenge is to be able to perform QoE measurement across very d…

cs.AI2025★ 7 cited

Change in Quantitative Bipolar Argumentation: Sufficient, Necessary, and Counterfactual Explanations

Timotheus Kampik, Kristijonas Čyras, José Ruiz Alarcón

This paper presents a formal approach to explaining change of inference in Quantitative Bipolar Argumentation Frameworks (QBAFs). When drawing conclusions from a QBAF and updating…

cs.NI2025

Quantifying QoE-Aware Resource Sharing Potential Under Time-variant Spatial Complexity

Szilveszter Nádas, Lars Ernström, David Lindero +1

The spatial complexity of real-time interactive video varies significantly within a single session, not only across different content types. This renders static resource allocation…

eess.SP2024★ 7 cited

Machine Learning for Spectrum Sharing: A Survey

Francisco R. V. Guimarães, José Mairton B. da Silva, Charles Casimiro Cavalcante +3

The 5th generation (5G) of wireless systems is being deployed with the aim to provide many sets of wireless communication services, such as low data rates for a massive amount of d…

cs.NI2023★ 105 cited

Empowering the 6G Cellular Architecture with Open RAN

Michele Polese, Mischa Dohler, Falko Dressler +4

Innovation and standardization in 5G have brought advancements to every facet of the cellular architecture. This ranges from the introduction of new frequency bands and signaling t…

cs.CV2023

Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression

Jin Heo, Gregorie Phillips, Per-Erik Brodin +1

Real-time light detection and ranging (LiDAR) perceptions, e.g., 3D object detection and simultaneous localization and mapping are computationally intensive to mobile devices of li…