Artificial Intelligence and Machine Learning Technology in Wireless Communication
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: 15 June 2026 | Viewed by 645
Special Issue Editors
Interests: reinforcement learning; deep learning; eHealth systems; communication; MIMO systems
Special Issues, Collections and Topics in MDPI journals
Interests: wireless sensor networks; IoT; MIMO wireless communications; signal processing; next-generation mobile cellular systems; UAV utilization for 5G and B5G communications
Special Issues, Collections and Topics in MDPI journals
Interests: self-learning; reinforcement learning; ambient intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and machine learning (ML) have been evolving rapidly in every area of research. AI, in varying forms and degrees, has been used to develop and advance a wide spectrum of fields, including wireless communication. This Special Issue aims to report on applications of AI and ML in wireless communication.
The field of wireless communication is undergoing a massive transformation with the integration of AI, ML, and blockchain. These advanced technologies have the potential to transform many communication areas by optimizing network performance, enhancing security, and automating various manual processes involved in managing a wireless network. Advanced machine learning (ML) techniques like deep learning can be used to optimize network performance, enhance security, and automate various manual processes. Similarly, AI applications in wireless communications are playing a vital role, especially with the deployment of 5G networks and the expected growth in the number of connected devices.
Dr. Muddasar Naeem
Dr. Zaib Ullah
Prof. Antonio Coronato
Guest Editors
Manuscript Submission Information
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Keywords
- wireless communication of mobile sensor networks
- AI applications in 5G systems and beyond
- AI-enabled smart technologies for human-centered IoT systems
- multi-use MIMO systems
- next-generation massive MIMO systems for communications
- ubiquitous and cognitive AI in IoT
- AI for vehicular communication
- deep learning-driven distributed communication systems
- blockchain-enabled wireless communication systems
- softwarized UAV network management for next-generation internet-based communities
- AI-based collaborative computing for smart communication and networking systems
- edge- and 6G-driven ubiquitous wireless communication
- integrating network softwarization techniques into 6G communication systems and applications
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