报告详情
AI–6G Convergence: Architectures, Key Use Cases, and Challenges for Intelligent and Sustainable Networks
编号：108
访问权限：仅限参会人
更新：2025-12-23 13:12:21 浏览：98次
拓展类型2
报告开始：2025年12月30日 17:15（Asia/Amman）
报告时间：15min
所在会场：[S1] Track 1: Mobile computing, communications, 5G and beyond [S1-2] Track 1: Mobile computing, communications, 5G and beyond
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摘要
The sixth generation (6G) of wireless communication systems is poised to transcend the performance-oriented objectives of 5G, evolving into an intelligent, adaptive, and context-aware network paradigm. Central to this transformation is the deep integration of Artificial Intelligence (AI) across all layers of the communication stack, enabling AI-native architectures that deliver self-optimization, self-healing, semantic understanding, and autonomous decision-making. This paper presents a comprehensive examination of the AI–6G convergence, beginning with an overview of AI-native design principles and the transition from AI-assisted to AI-intrinsic networks. Key use cases are explored, including intelligent extended reality, AI-driven digital twins, autonomous mobility, AI-augmented remote healthcare, joint communication and sensing, sustainable smart cities, intelligent network management, and industrial automation. We analyze the enabling technologies—such as edge AI computing, federated learning, reconfigurable intelligent surfaces, and terahertz communication systems—that are required to realize this vision. Furthermore, we discuss the core technical, ethical, and operational challenges that must be addressed to ensure that AI–6G systems are scalable, secure, explainable, and sustainable. The insights presented aim to guide researchers, industry practitioners, and policymakers in shaping a trustworthy and inclusive 6G ecosystem that aligns with global sustainability goals. This research focuses on applications such as sustainable smart cities, autonomous mobility, and augmented healthcare, directly advancing SDG-9 (Industry, Innovation, and Infrastructure) by building resilient and innovative infrastructure. Its overarching goals of sustainability and inclusiveness also support SDG-11 (Sustainable Cities and Communities).
关键词
6G networks, Artificial Intelligence, AI-native architecture, intelligent connectivity, semantic communication, digital twins, edge AI, joint communication and sensing, reconfigurable intelligent surfaces, terahertz communications, sustainable smart citie
报告人
Eman Kandil
teaching assistant MTI University稿件作者
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重要日期
-
会议日期
12月29日
2025
至12月31日
2025
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12月30日 2025
报告提交截止日期
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02月10日 2026
初稿截稿日期
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02月10日 2026
注册截止日期
主办单位
国际科学联合会
承办单位
扎尔卡大学
联系方式
- Miss AsianComNet
- as******@usssociety.org
历届会议
-
2024年10月24日 泰国 Bangkok
2024亚洲通讯与网络会议
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