Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Ilaria Malanchini"'
Publikováno v:
IEEE Transactions on Mobile Computing. 21:1434-1448
Network slicing might radically change the relations among different actors of the telecommunications ecosystem, where new players, active in different markets, could benefit of tailored connectivity services based on different business strategies. W
Publikováno v:
ICC 2022 - IEEE International Conference on Communications.
Publikováno v:
Towards Cognitive Autonomous Networks
Publikováno v:
Towards Cognitive Autonomous Networks. :419-468
Autor:
Janne Ali-Tolppa, Stephen S. Mwanje, Henning Sanneck, Jürgen Goerge, Kimmo Hatonen, Ilaria Malanchini, Csaba Rotter, Harald Bender
Publikováno v:
Towards Cognitive Autonomous Networks
Publikováno v:
Towards Cognitive Autonomous Networks. :173-201
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031231407
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b37114f10a46a923b868bc0da53177b
https://doi.org/10.1007/978-3-031-23141-4_21
https://doi.org/10.1007/978-3-031-23141-4_21
Publikováno v:
IEEE Transactions on Network and Service Management
Expanding the market of mobile network services and defining solutions that are cost efficient are the key challenges for next generation mobile networks. Network slicing is commonly considered to be the main instrument to exploit the flexibility of
Publikováno v:
WONS
The use of artificial intelligence is foreseen to be pervasive in future mobile radio networks, enabling dynamic and proactive radio resource provisioning and allocation as well as end-to-end optimization of the network architecture. Current approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4d1e11734640d403bbfafe07af920b1
http://hdl.handle.net/11311/1185330
http://hdl.handle.net/11311/1185330
Autor:
Dan Wellington, Matteo Cesana, Ilaria Malanchini, Alessandro Redondi, Claudia Parera, Qi Liao
Publikováno v:
PIMRC
Accurate and efficient resource utilization predictions are of vital importance for the future generation of mobile wireless networks. By anticipating network resource demand, the operator can perform proactive resource allocation and predictive netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::543d6461aeadf054706104867276f4b4
http://hdl.handle.net/11311/1153630
http://hdl.handle.net/11311/1153630