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07/10/2023
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks
Remaining Useful Life (RUL) prediction is a critical task that aims to e...
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07/05/2023
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 re...
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02/24/2023
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
This paper explores the issue of enabling Ultra-Reliable Low-Latency Com...
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01/27/2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning
Federated Learning (FL) has emerged as a promising framework for distrib...
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11/22/2022
Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach
This paper addresses the problem of enabling inter-machine Ultra-Reliabl...
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02/22/2022
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning
Recent years witnessed a remarkable increase in the availability of data...
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04/26/2021
Optimizations for Hardware-in-the-Loop-Based V2X Validation Platforms
Connectivity and automation are increasingly getting importance in the a...
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01/07/2018
