05:30

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

06:06

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

09:38

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

11:47

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

05:46

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

06:08

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

06:20

Traffic Prediction and Fast Uplink for Hidden Markov IoT Models

06:23

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

10:25

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

05:33

Performance Analysis of MIMO-NOMA Iterative Receivers for Massive Connectivity

05:58

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

07:30

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

06:16

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

40:31

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

23:26

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

37:45

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

42:57

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

14:30

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

05:11

Francisco A. Monteiro - Massive WET with Statistical CSI Beamforming

05:09

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

01:01:07

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

01:00:37

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

38:58

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

32:43

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

01:01:13

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

05:10

Massive Machine Type Communication and Satellite Integration for Remote Areas

05:16

Effective Energy Efficiency of Ultra-reliable Low Latency Communication

05:12

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

05:09

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

05:24

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

24:31

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

57:43

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

39:17

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

28:32

Mohammad Shehab - Energy Efficiency in Machine Type Communications

01:02:25

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

33:00

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

31:18

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