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CORDIS

Integrating wireless communication engineering and machine learning

Deliverables

Final report on prediction and anticipatory optimisation for wireless channels
Novel ML techniques for wireless network optimisation
Report on dissemination/outreach of the project and plan for final two years
Dissemination plan
Supervisory Board of the network

Supervisory Board of the network – due date month 2

Final report on training activities
Initial report on training activities
Intermediate report on training activities
Final report on dissemination/outreach of the project

Final report on disseminationoutreach of the project

Intermediate report on machine learning techniques for wireless channels
Identify challenges of conventional ML in wireless networks
System-wide cognitive optimisation schemes. Final results: cognitive network slicing and related security aspects

Systemwide cognitive optimisation schemes Final results cognitive network slicing and related security aspects

Hierarchical and distributed learning architecture & multi-objective optimisation strategies

Hierarchical and distributed learning architecture multiobjective optimisation strategies

Initial report on MLfor radio resource management and initial datasets
State of the art on context acquisition & anticipatory optimisation techniques for network optimisation
Final report on machine learning techniques for radio resource management
Performance assessment of the proposed ML techniques
Massive-MIMO mmWave channel model and system simulator description
Intermediate report on machine learning techniques for radio resource management

Publications

Wireless Control of Autonomous Guided Vehicle Using Reinforcement Learning

Author(s): Pedro M. de Sant Ana, Nikolaj Marchenko, Petar Popovski, Beatriz Soret
Published in: GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, Page(s) 1-7, ISBN 978-1-7281-8298-8
Publisher: IEEE
DOI: 10.1109/globecom42002.2020.9322156

Motion Pattern Recognition in 4D Point Clouds

Author(s): Dariush Salami, Sameera Palipana, Manila Kodali, Stephan Sigg
Published in: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Page(s) 1-6, ISBN 978-1-7281-6662-9
Publisher: IEEE
DOI: 10.1109/mlsp49062.2020.9231569

Coordinated Uplink Precoding for Spatially Consistent mmWave Channel Covariance Measurements

Author(s): Hanan Al-Tous, Parham Kazemi, Olav Tirkkonen
Published in: 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020, Page(s) 1-5, ISBN 978-1-7281-5478-7
Publisher: IEEE
DOI: 10.1109/spawc48557.2020.9154333

The challenges of Scheduling and Resource Allocation in IEEE 802.11ad/ay

Author(s): Salman Mohebi, Mattia Lecci, Andrea Zanella, Michele Zorzi
Published in: 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), 2020, Page(s) 1-4, ISBN 978-1-7281-6248-5
Publisher: IEEE
DOI: 10.1109/medcomnet49392.2020.9191491

Team Deep Mixture of Experts for Distributed Power Control

Author(s): Matteo Zecchin, David Gesbert, Marios Kountouris
Published in: 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020, Page(s) 1-5, ISBN 978-1-7281-5478-7
Publisher: IEEE
DOI: 10.1109/spawc48557.2020.9154235

Extending the ns-3 QUIC Module

Author(s): Umberto Paro, Federico Chiariotti, Anay Ajit Deshpande, Michele Polese, Andrea Zanella, Michele Zorzi
Published in: Proceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2020, Page(s) 19-26, ISBN 9781450381178
Publisher: ACM
DOI: 10.1145/3416010.3423224

SMURF: Reliable Multipath Routing in Flying Ad-Hoc Networks

Author(s): Anay Ajit Deshpande, Federico Chiariotti, Andrea Zanella
Published in: 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), 2020, Page(s) 1-8, ISBN 978-1-7281-6248-5
Publisher: IEEE
DOI: 10.1109/medcomnet49392.2020.9191526

A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting

Author(s): Vaca Rubio, Cristian Jesús; Espinosa, Pablo Ramirez; Williams, Robin Jess; Kansanen, Kimmo; Tan, Zheng-Hua; De Carvalho, Elisabeth; Popovski, Petar
Published in: Vaca Rubio , C J , Espinosa , P R , Williams , R J , Kansanen , K , Tan , Z-H , De Carvalho , E & Popovski , P 2021 , A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting . in EAI CROWNCOM 2020 - 15th EAI International Conference on Cognitive Radio Oriented Wireless Networks ., 2020
Publisher: Springer

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