Marco Skocaj

12 papers 50 citations h-index 3 2021–2026

Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements

The advent of novel 5G services and applications with binding latency requirements and guaranteed Quality of Service (QoS) hastened the need to incorporate autonomous and proactive decision-making...

21 citations 2023-07 PIMRC

Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning

Recent years witnessed a remarkable increase in the availability of data and computing resources in communication networks. This contributed to the rise of data-driven over model-driven algorithms...

25 citations 2022-02 Computer Communications

Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning

Federated Learning (FL) has emerged as a promising framework for distributed training of AI-based services, applications, and network procedures in 6G. One of the major challenges affecting the...

4 citations 2023-01 ICC Workshops

A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation

Driven by their remarkable success in computer vision and inverse problem solving, score-based models are increasingly applied to wireless communications, where they show promise across a range of...

2026-06

Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction

Sixth-generation (6G) wireless networks evolve from connecting devices to connecting intelligence. The focus turns to Goal-Oriented Communications, where the effectiveness of communication is...

2026-03

Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs

The ever-increasing demand for high-quality and heterogeneous wireless communication services has driven extensive research on dynamic optimization strategies in wireless networks. Among several...

2023-11