Dear Colleagues,

Expanding wireless data capacity is pushing past the performance limit of wireless communication systems. This increasing amount of data presents looming challenges. Consequently, future wireless communications will demand robust and thoughtful solutions to attain additional usefulness in various scenarios. In this time of big data, where data mining and data investigation methods are applicable procedures for system development and testing, Artificial Intelligence (AI) applications in wireless communications are receiving considerable attention. AI delivers unique resolutions for the complicated issue of arranging communication systems. Moreover, it represents a powerful tool and a widespread examination subject, with multiple conceivable applications to improve wireless communications. Radio propagation is essential for the arrangement and performance investigation of any wireless communication system. Several solutions related to AI can be applied in this research field. For instance, clustering algorithms are widely employed for propagation channel feature extraction. Likewise, innovative learning-based radio channel prediction techniques are obtaining significant importance in communication system development and evaluation.

This Special Issue invites the submission of high-quality articles describing AI applications in radio propagation for communications. These papers should focus on resolving problems and challenges typical of AI applications in radio propagation for communications, introducing and combining innovative methods efficiently, and presenting the performance evaluation with existing approaches. Both theoretical and experimental studies are welcome, along with high-quality review papers.

Topics of interest for articles include, but are not limited to:

• Innovative AI-based solutions for radio propagation description and examination.
• Clustering investigation for radio channel description and modeling.
• AI technique development and testing in radio propagation for applications in wireless communications.
• AI applications for channel modeling and communication system simulation.
• Data investigation and parameter extractions of wireless channels assisted by AI-based methods.
• Smart antenna systems with beamforming capabilities.

Dr. Mohammad Alibakhshikenari
Dr. Giovanni Pau
Guest Editors

Manuscript Submission Information

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