Channel Estimation and Modulation

Dear Colleagues,

The area of wireless and mass MIMO communication systems has made impressive progress in recent years. This progress has been mainly due to the combination of high market demands and expectations and the availability of high processing capacity at an affordable price. The dramatic lack of free electromagnetic spectrum has led to innovations in modulation techniques, channel coding, channel identification algorithms, and approaches to improve the spectral efficiency of systems. The benefit of this progress has not only been wireless and vehicular communication but also the Internet of Things, sensor networks, underwater communication, and even wired communication.

This Special Issue aims to collect the latest information from scientists in the following areas of scientific activity:

• Channel modeling, channel identification, and equalization
• Modulation-assisted blind channel identification
• Coded modulation
• Iterative identification of mobile OFDM channels
• Semi-blind channel estimation for MIMO systems
• Fractional-order system identification in mass MIMO systems
• Compressive sensing fading channels supported by deep learning
• Deep learning-based identification of the state of the MIMO channel

Contributions are accepted in different areas of applications, including but not limited to communication, vehicle networks, wireless detection, deep learning, machine learning, and artificial intelligence.

Prof. Dr. Jacek Izydorczyk
Prof. Dr. Jacek Piskorowski
Guest Editors

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