Signal Processing Techniques for Future Wireless Communication Systems

The text addresses the basic signal processing approaches, their evolutions, and the exploration of systems with advanced signal processing techniques. It discusses signal processing aspects of resource allocation and scheduling in non-orthogonal multiple access networks, signal processing techniques for multiple antennas in non-orthogonal multiple access, and channel estimation approaches for RIS-assisted wireless communication systems.

The text:

• Focuses more on physical layer design and provides an in-depth discussion of related signal processing techniques.
• Highlights and discusses three key technologies, namely massive MIMO, non-orthogonal multiple access, and reconfigurable intelligent surfaces.
• Investigate the role of artificial intelligence, machine learning, and deep learning in future generation communication systems, particularly for resource management, channel estimation, and beamforming optimization.
• Discusses performance analysis of reconfigurable intelligent surfaces-assisted unmanned aerial vehicles communication systems.
• Covers channel estimation approaches for reconfigurable intelligent surfaces-assisted wireless communication systems.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics, and communication engineering, wireless communication, telecommunication, and digital communication.