Application of AI to mobile network operation / (Record no. 5310)

000 -LEADER
fixed length control field 01884naa a22003378i 4500
001 - CONTROL NUMBER
control field 00005310
003 - CONTROL NUMBER IDENTIFIER
control field FR-PaOEC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211006062616.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field a o d i
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr || |||m|n||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190601s2017 ||| o i|0| 0 eng d
035 ## - SYSTEM CONTROL NUMBER
System control number (FR-PaOEC)
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaOEC
Transcribing agency ES-MaONT
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Otani, Tomoyuki
9 (RLIN) 3312
245 10 - TITLE STATEMENT
Title Application of AI to mobile network operation /
Statement of responsibility, etc. Tomoyuki Otani ... [el al.]
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Geneva :
Name of publisher, distributor, etc. International Telecommunication Union,
Date of publication, distribution, etc. 2017.
300 ## - PHYSICAL DESCRIPTION
Extent 7 p.
336 ## - CONTENT TYPE
Content type term texto (visual)
Source isbdcontent
337 ## - MEDIA TYPE
Media type term electrónico
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Source rdacarrier
520 3# - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tecnologías habilitadoras digitales
9 (RLIN) 18
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Science and Technology
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Toube, Hideki
9 (RLIN) 3313
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kimura, Tatsuya
9 (RLIN) 3314
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Furutani, Masanori
9 (RLIN) 3315
773 0# - HOST ITEM ENTRY
Host Biblionumber 4843
Title ITU Journal: ICT Discoveries
Related parts Vol. 2018, no. 1, p. 59-65
Enumeration and first page 2018:1<59
International Standard Serial Number 2616-8375
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name itu-ilibrary.org
Uniform Resource Identifier https://www.itu.int/dms_pub/itu-s/opb/journal/S-JOURNAL-ICTS.V1I1-2017-7-PDF-E.pdf
Link text Acceso al documento
Nonpublic note Abierto
Electronic format type pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Artículos
Source of classification or shelving scheme Universal Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Koha itemnumber Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
      Acceso libre online Colección digital 6260 CDO CDO   12/09/2019   1000020175559 12/09/2019 12/09/2019 Artículos pdf
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