Guest Editors
Prof. Yin Zhang
Email: yin.zhang.cn@ieee.org
Affiliation: School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China
Homepage:
Research Interests: edge intelligence, mobile computing, IoT
Assoc. Prof. Zigui Jiang
Email: jiangzg3@mail.sysu.edu.cn
Affiliation: School of Software Engineering, Sun Yat-sen University, Zhuhai, 519082, China
Homepage:
Research Interests: service computing, blockchain
Assist. Prof. Wenjing Xiao
Email: wenjingx@gxu.edu.cn
Affiliation: School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China.
Homepage:
Research Interests: edge computing, AI
Summary
Next-generation networks are evolving to connect billions of devices and people, integrating IoT, edge computing, and AI to enable smarter communication. This shift combines advanced communication, sensing, and computing to redefine network intelligence.
This special issue aims to explore the interdisciplinary synergy of these technologies, focusing on novel architectures, algorithms, and applications that push the boundaries of network intelligence. We invite contributions that address key challenges and opportunities in designing, optimizing, and securing next-generation intelligent networks.
- Next-generation network architectures (6G and beyond) featuring AI-native design principles
- Semantic and goal-oriented communication paradigms
- Edge AI architectures and federated learning for distributed intelligence
- Digital twin technologies for network optimization and management
- Blockchain and distributed ledger technologies for secure IoT ecosystems
- Big data processing at the network edge and data-intensive computing in distributed environments
- Emerging applications at intelligent networks, including smart healthcare, autonomous systems, metaverse, and green energy
Keywords
6G, AI, RIS, Edge Computing, Digital Twin, Blockchain, Big Data
Published Papers
Login
Register
Submit a Paper
Propose a Special lssue