Communications and Networking Based on Artificial Intelligence

Dear Colleagues,

Artificial intelligence (AI) has been a popular research area for the past few decades and is expected to play an important role in communication networks. AI algorithms extract features from large amounts of data without relying on specific mathematical models and, thus, have great potential in complex scenarios where nonlinear relationships cannot be modeled directly via traditional methods. In recent years, with the rapid development of information and communication technology, large amounts of data are generated to promote the training of AI models. Preliminary studies have been conducted on the application of AI methods in communication networks; however, with the continuous development and progress of AI methods and technologies, as well as the higher performance requirements of communication networks, there is a need for further research on the application of AI in the field of wireless communication. In addition, AI methods need to be fully explored in terms of performance stability and interpretability, privacy, and training costs. The goal of this Special Issue is to explore the potential of AI in communication and provide a platform for presenting the latest achievements in this field of research. Potential topics include, but are not limited to, the following:

• AI for integrated sensing and communication;
• Blockchain-enabled federated learning in the IoT;
• AI for network slicing and system coexistence;
• AI for mobile edge computing;
• Centralized and distributed learning for sensor networks;
• Reinforcement learning approaches for wireless resource allocation;
• AI for green communication and networking;
• AI for environmental awareness and target location;
• AI for reconfigurable intelligent surfaces;
• Deep learning methods for sensors.

Prof. Dr. Yifei Wei
Dr. Changqing Luo
Dr. Xiaojun Wang
Guest Editors

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• communications
• networking
• artificial intelligence