Risultati finali
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 activitiesInitial 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 channelsIdentify 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 strategiesHierarchical and distributed learning architecture multiobjective optimisation strategies
Initial report on MLfor radio resource management and initial datasetsState 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
Pubblicazioni
Autori:
Pedro M. de Sant Ana, Nikolaj Marchenko, Petar Popovski, Beatriz Soret
Pubblicato in:
GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, Pagina/e 1-7, ISBN 978-1-7281-8298-8
Editore:
IEEE
DOI:
10.1109/globecom42002.2020.9322156
Autori:
Dariush Salami, Sameera Palipana, Manila Kodali, Stephan Sigg
Pubblicato in:
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Pagina/e 1-6, ISBN 978-1-7281-6662-9
Editore:
IEEE
DOI:
10.1109/mlsp49062.2020.9231569
Autori:
Hanan Al-Tous, Parham Kazemi, Olav Tirkkonen
Pubblicato in:
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020, Pagina/e 1-5, ISBN 978-1-7281-5478-7
Editore:
IEEE
DOI:
10.1109/spawc48557.2020.9154333
Autori:
Salman Mohebi, Mattia Lecci, Andrea Zanella, Michele Zorzi
Pubblicato in:
2020 Mediterranean Communication and Computer Networking Conference (MedComNet), 2020, Pagina/e 1-4, ISBN 978-1-7281-6248-5
Editore:
IEEE
DOI:
10.1109/medcomnet49392.2020.9191491
Autori:
Matteo Zecchin, David Gesbert, Marios Kountouris
Pubblicato in:
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020, Pagina/e 1-5, ISBN 978-1-7281-5478-7
Editore:
IEEE
DOI:
10.1109/spawc48557.2020.9154235
Autori:
Umberto Paro, Federico Chiariotti, Anay Ajit Deshpande, Michele Polese, Andrea Zanella, Michele Zorzi
Pubblicato in:
Proceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 2020, Pagina/e 19-26, ISBN 9781450381178
Editore:
ACM
DOI:
10.1145/3416010.3423224
Autori:
Anay Ajit Deshpande, Federico Chiariotti, Andrea Zanella
Pubblicato in:
2020 Mediterranean Communication and Computer Networking Conference (MedComNet), 2020, Pagina/e 1-8, ISBN 978-1-7281-6248-5
Editore:
IEEE
DOI:
10.1109/medcomnet49392.2020.9191526
Autori:
Vaca Rubio, Cristian Jesús; Espinosa, Pablo Ramirez; Williams, Robin Jess; Kansanen, Kimmo; Tan, Zheng-Hua; De Carvalho, Elisabeth; Popovski, Petar
Pubblicato 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
Editore:
Springer
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