Integrated AI and Communication for 6G
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 693
Special Issue Editors
Interests: resource allocation; Internet Of Things; 5G & 6G; communication
Interests: federated learning; reconfigurable intelligent surface; edge intelligence; distributed AI
Special Issues, Collections and Topics in MDPI journals
Interests: time synchronization; routing and scheduling in time-sensitive networking (TSN); 5G-TSN joint resource management; edge intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The vision for sixth-generation (6G) wireless networks promises unprecedented advancements in connectivity, enabling applications such as holographic communications, autonomous systems, and pervasive digital twins. A key enabler for these ambitious goals is the deep integration of artificial intelligence (AI) and communication technologies. This Special Issue focuses on the synergistic convergence of AI and communication within the 6G paradigm, where AI is not merely an application but a fundamental component embedded across the network stack, from intelligent sensing and signal processing at the physical layer to AI-driven resource management and network orchestration. We invite the submission of high-quality original research and comprehensive review articles that explore novel architectures, algorithms, and system designs for AI-native 6G networks. Topics of interest include, but are not limited to, the following: intelligent reconfigurable surfaces, AI-powered channel modeling, edge intelligence, federated learning for wireless networks, sensing–communication–computation integration, and AI-enhanced security and privacy in 6G.
Prof. Dr. Hui Tian
Dr. Wanli Ni
Dr. Lei Sun
Dr. Qimei Cui
Guest Editors
Manuscript Submission Information
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Keywords
- 6G networks
- artificial intelligence
- integrated sensing and communication
- edge intelligence
- intelligent reconfigurable surfaces
- federated learning
- AI-native networks
- wireless AI
- network intelligence
- smart radio environments
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