Artificial Intelligence and MCS Innovation

Author:

Zhang Qingsong1,Wang Peng2,Li Bing3,Yu Hongfei4

Affiliation:

1. Hong Kong Future Network Standardization Institute , Hongkong , China

2. Xi'an Technological University , Xi'an , China

3. Jiangsu GreatFree Networking Technologies ltd. , Jiangsu , China

4. Sichuan Beidou Hongpeng Technologies, ltd. , Sichuan , China

Abstract

Abstract Upon the request and guidance of SC 6/AG 4 Convenor Kingston ZHANG, a research group has been formed for study the potential impact of Artificial Intelligence on MCS Innovation and to evaluate how can AG 4's work contribute to the next stage of SC 6/WG 7's Future Network standardization program. This is a preliminary report.

Publisher

Walter de Gruyter GmbH

Reference38 articles.

1. ISO/IEC JTC 1/SC 6/WG 7 N 387: Harmonious collaboration between base station modulation and user applications, 2023-08-07

2. ISO/IEC TR 29181-8: 2017 Information technology — Future Network — Problem statement and requirements — Part 8: Quality of Service

3. ISO/IEC 21558-2: 2023 Telecommunications and information exchange between systems — Future network architecture — Part 2: Proxy model-based quality of service

4. ISO/IEC 21559-2: 2023 Telecommunications and information exchange between systems - Future network protocols and mechanisms - Part 2: Proxy model-based quality of service

5. ISO/IEC JTC 1/SC 6/WG 7 N 205: Artificial Intelligence Enabled Networking (AIEN) 2019-04-22

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