Machine intelligence techniques for next-generation context-aware wireless networks/ (Record no. 5313)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02951naa a22003258i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 00005313 |
| 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 | 190601s2018 ||| 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 | Bogale, Tadilo Endeshaw |
| 9 (RLIN) | 3321 |
| 245 10 - TITLE STATEMENT | |
| Title | Machine intelligence techniques for next-generation context-aware wireless networks/ |
| Statement of responsibility, etc. | Tadilo Endeshaw Bogale, Xianbin Wang and Long Bao Le |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Geneva : |
| Name of publisher, distributor, etc. | International Telecommunication Union, |
| Date of publication, distribution, etc. | 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 11 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. | Next generation wireless networks (i.e. 5G and beyond), which will be extremely dynamic and complex due to the ultra-dense deployment of heterogeneous networks (HetNets), pose many critical challenges for network planning, operation, management and troubleshooting. At the same time, the generation and consumption of wireless data are becoming increasingly distributed with an ongoing paradigm shift from people-centric to machine-oriented communications, making the operation of future wireless networks even more complex. In mitigating the complexity of future network operation, new approaches of intelligently utilizing distributed computational resources with improved context awareness becomes extremely important. In this regard, the emerging fog (edge) computing architecture aiming to distribute computing, storage, control, communication, and networking functions closer to end users, has a great potential for enabling efficient operation of future wireless networks. These promising architectures make the adoption of artificial intelligence (AI) principles, which incorporate learning, reasoning and decision-making mechanisms, natural choices for designing a tightly integrated network. To this end, this article provides a comprehensive survey on the utilization of AI integrating machine learning, data analytics and natural language processing (NLP) techniques for enhancing the efficiency of wireless network operation. In particular, we provide comprehensive discussion on the utilization of these techniques for efficient data acquisition, knowledge discovery, network planning, operation and management of next generation wireless networks. A brief case study utilizing the AI techniques for this network has also been provided. |
| 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 | Wang, Xianbin |
| 9 (RLIN) | 3322 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Le, Long Bao |
| 9 (RLIN) | 3323 |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 4843 |
| Title | ITU Journal: ICT Discoveries |
| Related parts | Vol. 2018, no. 1, p. 109-119 |
| Enumeration and first page | 2018:1<109 |
| 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.V1I1-2018-13-PDF-E.pdf |
| Link text | Acceso al documento |
| Nonpublic note | Abierto |
| Electronic format type | |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Artículos |
| Source of classification or shelving scheme | Universal Decimal Classification |
| 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 | 6263 | CDO | CDO | 12/09/2019 | 1000020175562 | 12/09/2019 | 12/09/2019 | Artículos |