Series Editorial: Artificial Intelligence and Data Science for Communications
被引:0
作者:
Choi, Yongmin
论文数: 0引用数: 0
h-index: 0
机构:
Cheju Halla Univ, Dept Artificial Intelligence, Jeju City, South KoreaCheju Halla Univ, Dept Artificial Intelligence, Jeju City, South Korea
Choi, Yongmin
[1
]
Lin, Xingqin
论文数: 0引用数: 0
h-index: 0
机构:Cheju Halla Univ, Dept Artificial Intelligence, Jeju City, South Korea
Lin, Xingqin
Louta, Malamati
论文数: 0引用数: 0
h-index: 0
机构:
Univ Western Macedonia, Sch Engn, Elect & Comp Engn Dept, Kozani, GreeceCheju Halla Univ, Dept Artificial Intelligence, Jeju City, South Korea
Louta, Malamati
[2
]
Shao, Yulin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Macau, State Key Lab Internet Things Smart City, Zhuhai, Peoples R ChinaCheju Halla Univ, Dept Artificial Intelligence, Jeju City, South Korea
Shao, Yulin
[3
]
机构:
[1] Cheju Halla Univ, Dept Artificial Intelligence, Jeju City, South Korea
Special issues and sections;
Artificial intelligence;
Data science;
Edge AI;
Telecommunication network management;
Autonomous systems;
Federated learning;
Communication systems;
D O I:
10.1109/MCOM.2025.10945713
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Welcome to the April 2025 issue of IEEE Communications Magazine's Artificial Intelligence and Data Science for Communications Series. In this edition, we bring together five compelling articles that showcase the transformative role of AI and data science in next-generation communication networks. From enhancing security in federated learning to advancing autonomous network management, AI-driven edge intelligence, and radio access networks, these articles collectively illustrate how cutting-edge AI techniques are reshaping the future of communications.