Intelligent Communication Techniques for Future Multi-Functional Wireless Networks
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 219
Special Issue Editors
Interests: federated learning; reconfigurable intelligent surface; optimization theory; edge intelligence and distributed AI
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent networks; industrial Internet; digital twin networks
Interests: reconfigurable intelligent surface; wireless resource management; machine learning
Special Issue Information
Dear Colleagues,
This Special Issue will explore the latest advancements and emerging trends in intelligent communication techniques pivotal for the development of future multi-functional wireless networks. With the rapid evolution of wireless technologies, these networks are increasingly required to support a diverse range of functionalities, including high-speed data transmission, real-time sensing, localization and navigation, task computing, wireless power transfer, etc. By integrating these diverse functionalities within a single system, we can significantly enhance the efficiency, versatility, and overall capability of communication networks. This Special Issue will address the challenges and opportunities associated with applying intelligent communication techniques within these multi-functional wireless networks. We invite contributions that focus on innovative algorithms, protocols, and architectures that enhance future network performance, reliability, and security. Key topics of interest include, but are not limited to, artificial intelligence (AI) and machine learning applications in wireless communication, distributed AI and federated learning in large-scale wireless networks, connected intelligence in future wireless networks, and challenges and opportunities involved in standardizing intelligent communication techniques. Furthermore, we encourage submissions that present practical implementations, experimental results, and case studies demonstrating the effectiveness of intelligent communication techniques in real-world multi-functional wireless networks.
Dr. Wanli Ni
Dr. Yuzheng Ren
Dr. Wen Wang
Dr. Guangyi Liu
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent communication
- multi-functional wireless networks
- edge intelligence
- distributed AI
- federated learning
- connected intelligence
- resource management
- signal detection and decoding
- network design and optimization
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