Advanced Physical Layer Techniques and Deep Learning for 5G/6G Communication Systems: Challenges and Prospects
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: 15 January 2027 | Viewed by 49
Editors
Interests: deep learning; massive MIMO systems; 5G/6G wireless networks; AI in healthcare; data analytics
Interests: machine learning for IoT; optical communication; wireless communication; UAV/drones; 5G and beyond 5G
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of wireless communication technologies is driving the transition from 5G to 6G networks, promising unprecedented levels of connectivity, reliability, and intelligence. This Special Issue focuses on the latest advances and future prospects of 5G/6G wireless communication systems, with a particular emphasis on emerging enabling technologies such as massive MIMO, reconfigurable intelligent surfaces (RISs), millimeter-wave and terahertz communications, AI/ML-driven network optimization, and next-generation signal processing techniques. We invite original research articles and reviews addressing the design, analysis, and implementation of advanced physical layer techniques, resource management strategies, channel modeling, and AI-empowered approaches for 5G/6G networks. Topics of interest include, but are not limited to, beamforming and precoding, heterogeneous network architectures, energy-efficient communication, semantic communications, channel estimation and signal detection, integrated sensing and communication (ISAC), and the application of deep learning in wireless systems. Contributions that bridge theoretical foundations with practical system design are particularly encouraged. This Special Issue aims to provide a comprehensive overview of cutting-edge research and to foster discussion on open challenges and future directions in 5G/6G wireless communications.
Dr. Muhammad Yunis Daha
Dr. Muhammad Usman Hadi
Guest Editors
Manuscript Submission Information
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Keywords
- 5G/6G wireless networks
- massive MIMO
- reconfigurable intelligent surfaces
- deep learning
- beamforming
- channel estimation
- integrated sensing and communication
- AI-driven optimization
- signal processing
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