AI-Based Innovations in 5G Communications and Beyond
A special issue of Network (ISSN 2673-8732).
Deadline for manuscript submissions: 28 February 2026 | Viewed by 360
Special Issue Editors
Interests: reinforcement learning; deep learning; eHealth systems; communication; MIMO systems
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 can be used to develop smart machines capable of performing tasks that typically require human intelligence. Various AI systems have been used to different degrees to bring innovation in many forms of communication, including 5G communication and beyond.
The field of communication is undergoing a massive transformation with the integration of AI. This modern technology has the potential to transform many areas of communication 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 communication are playing a vital role, especially with the deployment of 5G networks and the expected growth in the number of connected devices.
The proposed Special Issue aims to consider original work and applications in V2X communication, 5G communication, and IoT domains that benefit from AI technologies, including Machine Learning, reinforcement learning, and deep learning. In this context, we are looking for contributions covering one or more of the following topics:
- AI applications in 5G systems and beyond;
- AI-enabled smart technologies for human-centred IoT systems;
- Multi-use MIMO systems;
- Ubiquitous and cognitive AI in IoT;
- AI for vehicular communication;
- Deep learning-driven distributed communication systems;
- Blockchain-enabled 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.
Dr. Muddasar Naeem
Prof. Dr. Antonio Coronato
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Network is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- V2X communication
- artificial intelligence
- machine learning
- deep learning
- 5G communication
- smart sustainable cities
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