Applications of Artificial Intelligence and Machine Learning in Communications and Networks
A special issue of Network (ISSN 2673-8732).
Deadline for manuscript submissions: 31 May 2025 | Viewed by 633
Special Issue Editors
Interests: AI/ML in communication/networking; 5G new radio; Internet of Things; machine-type communications; hybrid communication systems; joint sensing and communication; UAV-assisted communications; small world networks; social networks
Interests: biometrics (physical/behavioral); authentication and access control using human behaviors; machine learning; data mining; generative adversarial networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue explores the transformative applications of AI and ML in communication systems and networking. These technologies are driving a paradigm shift in wireless networks, effectively challenging traditional heuristic and algorithm-based solutions, including routing protocols and traffic engineering. The current literature increasingly integrates AI-driven methods into signal processing and channel coding, enhancing performance beyond the limits of conventional mathematical models.
A significant focus is placed on the role of AI and ML in the evolution of 5G and future 6G networks. It is widely recognized that these technologies are essential for achieving ultra-low latency, extensive device connectivity, and high reliability, thus unlocking the full potential of next-generation networks.
Additionally, AI and ML applications within communication networks are closely linked to advancements in cybersecurity. This includes critical areas such as anomaly detection, fraud identification through pattern recognition, and protective measures against distributed denial-of-service (DDoS) attacks. Overall, this Special Issue underscores the growing importance of AI and ML in shaping the future landscape of communications and networks.
The scope of this Special Issue is broad, given below:
- Network Optimization and Management
- Resource Allocation
- Congestion Control
- Channel estimation and modeling
- Beamforming
- Cognitive Radios
- Security of AI-enable
- Edge Computing
- Cloud Computing
- UAV-Assisted Wireless Networks
- Social Networks
- Small-world Networks
- Network Slicing
- Optimization in Communication
- Non-Orthogonal Multiple Access
Dr. Sreenivasa Reddy Yeduri
Dr. Attaullah Buriro
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 1000 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
- artificial intelligence (AI) in networking
- machine learning (ML) for communications
- AI-driven network management
- deep learning in communication systems
- AI for 5G and 6G networks
- network security with AI/ML
- AI for resource allocation
- edge AI and edge computing
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