Draft recommendation ITU-T Y.ML-IMT2020-E2E-MGMT: machine learning based end-to-end multi-domain network slice management and orchestration

Qi Wang; Jose M. Alcaraz Calero

Draft recommendation ITU-T Y.ML-IMT2020-E2E-MGMT: machine learning based end-to-end multi-domain network slice management and orchestration

Qi Wang
, Jose M. Alcaraz Calero

Research output: Other contribution › peer-review

Original language	English
Type	International Standard
Publisher	The International Telecommunication Union
Edition	Draft Recommendation ITU-T Y.ML-IMT2020-E2E-MGMT
Publication status	Accepted/In press - 14 Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 10 Reduced Inequalities

Access to Document

https://www.itu.int/md/T17-SG13-210716-TD-WP1-0837/en

Cite this

@misc{b25f339b2e084027bf5493c421a928aa,

title = "Draft recommendation ITU-T Y.ML-IMT2020-E2E-MGMT: machine learning based end-to-end multi-domain network slice management and orchestration",

author = "Qi Wang and \{Alcaraz Calero\}, \{Jose M.\}",

year = "2020",

month = jul,

day = "14",

language = "English",

publisher = "The International Telecommunication Union",

address = "Switzerland",

edition = "Draft Recommendation ITU-T Y.ML-IMT2020-E2E-MGMT ",

type = "Other",

}