AI-Based 5G/6G Communications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 15 July 2025 | Viewed by 507
Special Issue Editors
Interests: wireless communication; 5G/6G; AI
Interests: semantic communications; wireless communications; AI; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Interests: wireless communications and networking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of wireless communications and networking has supported the application of 5G and inspired the standardization process towards the 6G era. The 6G era aims to provide unprecedentedly high data rates, achievable low latency, implementable massive connectivity, and much better energy efficiency, thereby transforming industries as well as our daily lives. While wireless communications theories were well built on clear and rigorous mathematical model and derivations, artificial intelligence (AI), with somewhat vague and hard-to-interpret principles, is playing an increasingly pivotal role not only in optimizing network operations, resource management, signal processing, and decision making for mobile wireless networks but also motivating increasingly more applications other than communications to embrace the 5G/6G networks. This Special Issue on "AI-Based 5G/6G Communications" aims to bring together innovative research, practical applications, and future trends that explore the integration of AI techniques into 5G/6G communication networks. We invite original contributions that address key challenges, propose new frameworks, and demonstrate the potential of AI in next-generation communication systems.
Prof. Dr. Lixin Li
Dr. Wensheng Lin
Prof. Dr. Qinghe Du
Dr. Claudio Marche
Guest Editors
Manuscript Submission Information
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Keywords
- AI-driven network optimization and resource allocation for 5G/6G
- machine learning and deep learning applications in wireless communications
- semantic communications
- intelligent spectrum management and signal processing
- AI for energy-efficient 5G/6G networks
- reinforcement learning for dynamic network adaptation
- AI-enhanced multiple access and modulation techniques
- AI-based security and privacy solutions in 5G/6G networks
- edge AI for low-latency and real-time applications
- AI for massive MIMO and beamforming techniques
- federated learning and decentralized AI in 5G/6G
- AI in vehicular communications, IoT, and smart cities powered by 5G/6G
- AI-based predictive maintenance and self-healing networks
- ethical considerations and challenges of AI in 5G/6G communications
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