Artificial Intelligence for Network Management
A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI Systems: Theory and Applications".
Deadline for manuscript submissions: 15 April 2025 | Viewed by 405
Special Issue Editors
Interests: machine learning and artificial intelligence for wireless communication; AI and ML in biomedicine; multi-channel modeling; propagation
Interests: 6G wireless communication systems; cell-free massive MIMO systems; energy-efficient wireless systems; propagation measurements; channel modeling; artificial intelligence; machine learning; wireless security systems; cryptography; chaotic communication; sustainable communication; blockchain technology
Special Issues, Collections and Topics in MDPI journals
2. Centre for Augmented Intelligence and Data Science (CAIDS), University of South Africa, Johannesburg 1709, South Africa
Interests: radio wave propagation; wireless communications; quantum electronics; microwave engineering; antennas’ electromagnetic waves and field wireless communications; numerical analysis and application digital signal processing; privacy, security and authentication
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the use of AI and machine learning in network management. It is known that artificial intelligence (AI) is revolutionizing network management by enhancing efficiency, security and performance. AI-driven solutions enable automated network monitoring, predictive maintenance and proactive issue resolution. Machine learning algorithms analyze vast amounts of network data to detect anomalies, predict failures and optimize traffic flow. By continuously learning and adapting to network conditions, AI enhances the scalability and reliability of network infrastructure, ultimately leading to improved user experiences and operational efficiency.
This Special Issue calls for papers on AI-powered network management that supports the growing complexity of modern networks, including cloud services, IoT devices and 5G technology. It welcomes research articles that present novel theories, algorithms, systems and applications of AI in fields such as network monitoring, predictive maintenance, anomaly detection, traffic optimization, automated issue resolution, adaptive security measures, 5G network enhancement, IoT device management, cloud service integration and network scalability.
Dr. Stephen Ojo
Dr. Agbotiname Lucky Imoize
Dr. Lateef Adesola Akinyemi
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. AI 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 1600 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
- intelligent network monitoring
- predictive maintenance
- anomaly detection
- traffic optimization
- automated issue resolution
- adaptive security measures
- 5G network enhancement
- IoT device management
- cloud service integration and network scalability
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