AI-Driven Wireless Channel Modeling and Signal Processing

Dear Colleagues,

Wireless communication is the basic enabling technology in modern society, which supports economic development and a convenient life. In the technical architecture, wireless channels and signal processing are the basic components of a communication system that fundamentally determine the performance of a communication system at the level of radio wave propagation and information theory. In recent decades, many colleagues have made outstanding achievements in this field, including basic algorithms, modeling methods, measurement databases, methodologies, etc. These achievements have supported the development and commercialization of multi-generation mobile communication systems. Today, commercial communication systems are still evolving and developing. The difference is that the rapid development of artificial intelligence in recent years has provided new solutions for many traditional fields, including some basic technologies of wireless communication. Artificial intelligence methods provide a new research paradigm for channel modeling, environmental sensing, channel simulation, channel estimation, waveform design, baseband signal processing, coding and decoding, etc. For example, the real-time RSSI prediction of a site-specific link can be realized through an online-deployed neural network. Or, through the monitoring of interference and signals, the adaptive intelligent regulation of a waveform and MCS can be realized. On the other hand, deep learning is used to establish the mapping relationship between the propagation environment and channel characteristics or communication performance, so as to assist intelligent communication transceivers.

This Topic aims to bring together interdisciplinary approaches focusing on innovative applications of artificial intelligence technology in the communication field. We expect researchers in related fields to develop new or improved existing suitable artificial intelligence models, tools, and application schemes to effectively solve the related problems of wireless communication in basic fields such as channel modeling and signal processing. Therefore, this Topic is open to anyone who wants to submit a relevant research manuscript.

Dr. Mi Yang
Dr. Yi Gong
Topic Editors