UIT-T SG 5 TD (2021-05-11)

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UIT-T SG 5 TD (2021-05-11)

UIT-T SG 5	Nb max de documents affichés/page:
Environment, climate change and circular economy
Période d'études 2017

Réunion du 2021-05-11 au 2021-05-20

Lieu : E-Meeting

Autres réunions : 2021-11-30 [ 2021-05-11 ] 2020-10-19 2020-05-11 2019-09-16 2019-05-13 2018-09-11 2018-05-21 2018-03-05 2017-11-13 2017-05-15

Resultats:15 documents

Documents Temporaires (GEN) [ Source: Associate Rapporteur Q6/5 ]
	Numéro	Titre	Source	AI/Question	Date
	[ 1891-GEN ]	Updated document for draft recommendation L.ENV-KPI-5G-ARCH "Environmental KPIs/metrics for 5G architectures"	Associate Rapporteur Q6/5	Q6/5	2021-05-18
	[ 1890-GEN ]	A.1 justification for draft new Recommendation ITU-T L.TIME"Q-factor: fundamental metric expressing Integrated Circuit energy-efficiency"	Associate Rapporteur Q6/5	Q6/5	2021-05-18
	[ 1889-GEN ]	Baseline text for draft new Recommendation ITU-T L.TIME"Q-factor: fundamental metric expressing Integrated Circuit energy-efficiency"	Associate Rapporteur Q6/5	Q6/5	2021-05-18
	[ 1885-GEN ] (Rev.1)	A.1 justification for new work item on draft Recommendation ITU-T L.SDT "Definition of sustainable digital transformation"	Associate Rapporteur Q6/5	Q6/5	2021-05-18
	[ 1883-GEN ] (Rev.1)	Baseline text for draft Recommendation ITU-T L.gee_bc on Guidelines on Energy Efficient Blockchain Systems	Associate Rapporteur Q6/5	Q6/5	2021-05-18
	[ 1866-GEN ]	A.13 justification for Supplement ITU T L.Suppl.ses5Gbs "Smart energy saving of 5G base station: Based on AI and other emerging technologies to forecast and optimize the management of 5G wireless network energy consumption"	Associate Rapporteur Q6/5	Q6/5	2021-05-17
	[ 1865-GEN ] (Rev.1)	Baseline text for ITU-T L.Suppl.ses5Gbs "Smart energy saving of 5G base station: Based on AI and other emerging technologies to forecast and optimize the management of 5G wireless network energy consumption"	Associate Rapporteur Q6/5	Q6/5	2021-05-17
	[ 1860-GEN ]	A.13 justification for Supplement ITU T L.Suppl.ee_ml_scm "Guidelines on the Environmental Efficiency of Machine Learning Processes in Supply Chain Management"	Associate Rapporteur Q6/5	Q6/5	2021-05-17
	[ 1859-GEN ]	Baseline text for ITU-T L.Suppl.ee_ml_scm "Guidelines on the Environmental Efficiency of Machine Learning Processes in Supply Chain Management"	Associate Rapporteur Q6/5	Q6/5	2021-05-17
	[ 1850-GEN ]	A.1 justification for draft Recommendation ITU T ITU-T L.gee_bs "Guidelines on Energy Efficient Blockchain Systems"	Associate Rapporteur Q6/5	Q6/5	2021-05-16
	[ 1849-GEN ] (Rev.1)	A.1 justification for proposed new work item on L.BBU "Requirements and use cases of liquid cooling solutions and high energy efficiency solutions for 5G BBU in C-RAN mode"	Associate Rapporteur Q6/5	Q6/5	2021-05-16
	[ 1839-GEN ]	A.13 justification for Supplement ITU T L.Suppl.ee_aibd "Requirements on energy efficiency measurement models and the role of AI and big data"	Associate Rapporteur Q6/5	Q6/5	2021-05-16
	[ 1838-GEN ]	Baseline text for ITU-T L.Suppl.ee_aibd "Requirements on energy efficiency measurement models and the role of AI and big data"	Associate Rapporteur Q6/5	Q6/5	2021-05-16
	[ 1759-GEN ]	Considerations on Recommendation ITU-T L.1331 on Assessment of mobile network energy efficiency	Associate Rapporteur Q6/5	Q6/5	2021-05-05
	[ 1757-GEN ]	A.5 justification information for draft new L.1304 (ex L.Proc_DC)	Associate Rapporteur Q6/5	Q6/5	2021-05-04
Resultats:15 documents

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