01884naa a22003378i 4500 5310 5310 00005310 FR-PaOEC 20211006062616.0 a o d i cr || |||m|n|| 190601s2017 ||| o i|0| 0 eng d (FR-PaOEC) FR-PaOEC ES-MaONT Otani, Tomoyuki 3312 Application of AI to mobile network operation / Tomoyuki Otani ... [el al.] Geneva : International Telecommunication Union, 2017. 7 p. texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier With the introduction of network virtualization and the implementation of 5G/IoT, mobile networks will offer more diversified services and be more complex. This raises a concern about a significant rise in network operation workload. Meanwhile, artificial intelligence (AI) technology is making remarkable progress and is expected to solve human resource shortages in various fields. Likewise, the mobile industry is gaining momentum toward the application of AI to network operation to improve the efficiency of mobile network operation [1][2].This paper will discuss the possibility of applying AI technology to network operation and presents some use cases to show good prospects for AI-driven network operation. Tecnologías habilitadoras digitales 18 Science and Technology Toube, Hideki 3313 Kimura, Tatsuya 3314 Furutani, Masanori 3315 4843 ITU Journal: ICT Discoveries Vol. 2018, no. 1, p. 59-65 2018:1<59 2616-8375 itu-ilibrary.org https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-7-PDF-E.pdf Acceso al documento 0 pdf ART udc 0 0 0 3 1 6260 01 01 online 2019-09-12 0 1000020175559 2019-09-12 00:00:00 2019-09-12 ART pdf