Deliverables Documents, reports (19) Final report on prediction and anticipatory optimisation for wireless channels Final report on prediction and anticipatory optimisation for wireless channels Novel ML techniques for wireless network optimisation Novel ML techniques for wireless network optimisation Report on dissemination/outreach of the project and plan for final two years Report on dissemination/outreach of the project and plan for final two years Dissemination plan Dissemination plan Supervisory Board of the network Supervisory Board of the network – due date month 2 Final report on training activities Final report on training activities Initial report on training activities Initial report on training activities Intermediate 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 Intermediate report on machine learning techniques for wireless channels Identify challenges of conventional ML in wireless networks 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 Initial report on MLfor radio resource management and initial datasets State of the art on context acquisition & anticipatory optimisation techniques for network optimisation State of the art on context acquisition & anticipatory optimisation techniques for network optimisation Final report on machine learning techniques for radio resource management Final report on machine learning techniques for radio resource management Performance assessment of the proposed ML techniques Performance assessment of the proposed ML techniques Massive-MIMO mmWave channel model and system simulator description Massive-MIMO mmWave channel model and system simulator description Intermediate report on machine learning techniques for radio resource management Intermediate report on machine learning techniques for radio resource management Publications Conference proceedings (7) 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 Other (1) 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 Searching for OpenAIRE data... 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