Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning

A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles

Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models

Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink

Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach

Performance Analysis of Centralized and Distributed Massive MIMO for Machine-Type Communications

LoRaWAN-enabled Smart Campus: The Dataset and a People Counter Use Case

Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge

A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks

Traffic Prediction and Fast Uplink for Hidden Markov IoT Models

Self-Energy Recycling for Low-Power Reliable Networks: Half-Duplex or Full-Duplex?

Energy-Efficient Wake-Up Signalling for MTDs Based on Traffic-Aware LSTM Prediction

Performance Analysis of MIMO-NOMA Iterative Receivers for Massive Connectivity

Statistical Analysis of Received Signal Strength in Industrial IoT Distributed Massive MIMO Systems

Minimization of the Worst-Case Average Energy Consumption in UAV-Assisted IoT Networks

A Learning-Based Fast Uplink Grant for Massive IoT via SVM and Long Short-Term Memory - Eslam Eldeeb

Demon in the Data Centre: Information and Energy Relations Harun Šiljak TCD

Initial developments of LoRaWAN-based control of UAVs' swarm Jesse Tolvanen LUT

Cybersecurity in Power Electronics – Hypothesis and Modeling Principles Subham Sahoo AAU

Towards Massive and Safe RF Wireless Power Transfer - Onel L. Alcaraz López 6G Flagship, UOulu

Massive Wireless Energy Transfer with Multiple Power Beacons for very large Internet of Things

Francisco A. Monteiro - Massive WET with Statistical CSI Beamforming

On the Optimal Deployment of Power Beacons for Massive Wireless Energy Transfer

Stefano Savazzi- Opportunities of Federated Learning in Connected and Cooperative Industrial Systems

Alex Jung - Federated Multi-task Learning in Big Data over Networks

Pavol Mulinka - Fast-track overview of Deep Learning classification methods for IIoT

Merim Dzaferagic Impact of missing data on the fault detection and classification in an IIoT system

Emil Gatial & Adrian Gligor - SOON Social Network of Machines a Solution for Smart Manufacturing

Massive Machine Type Communication and Satellite Integration for Remote Areas

Effective Energy Efficiency of Ultra-reliable Low Latency Communication

Network Slicing for eMBB and mMTC with NOMA and Space Diversity Reception

Non-Orthogonal Multiple Access and Network Slicing: Scalable Coexistence of eMBB and URLLC

Ultra-Low Latency, Low Energy, and Massiveness in the 6G Era via Efficient CSIT-Limited Schemes

Jean Sant'Ana - Increasing the Reliability of Low Power Wide Area Networks

Petar Popovski - Signposts for latency and reliability on the way beyond 5G wireless

Arthur Sena - Intelligent Reflecting Surfaces in Massive MIMO-NOMA Systems

Mohammad Shehab - Energy Efficiency in Machine Type Communications

Constantinos B. Papadias - Energy efficient technologies for portable access points

Charalampos Kalalas - Missing-data imputation in industrial IoT systems with wireless connectivity

Onel López- Ultra-Low Energy Consumption & Massiveness Support via Efficient CSIT-limited Strategies