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02/23/2023
The Story of QoS Prediction in Vehicular Communication: From Radio Environment Statistics to Network-Access Throughput Prediction
As cellular networks evolve towards the 6th Generation (6G), Machine Lea...
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12/20/2022
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
The evolution of wireless communications into 6G and beyond is expected ...
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12/20/2022
Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This paper presents two wireless measurement campaigns in industrial tes...
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11/24/2022
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection
Reconfigurable antennas (RAs) are a promising technology to enhance the ...
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01/13/2022
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond
Adaptive partial linear beamforming meets the need of 5G and future 6G a...
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07/14/2021
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
Learning any-to-any (A2A) path loss maps, where the objective is the rec...
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07/13/2021
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
This paper addresses the problem of decentralized spectrum sharing in ve...
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05/05/2021
Leveraging Machine Learning for Industrial Wireless Communications
Two main trends characterize today's communication landscape and are fin...
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04/03/2014
