AI Algorithms for 6G Mobile Edge Computing and Network Security
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 887
Special Issue Editor
Special Issue Information
Dear Colleagues,
The advent of 6G networks brings a new era of wireless communications, integrating space, aerial, terrestrial, and undersea networks to support massive connectivity and multi-gigabit transmission rates. This evolution aims to provide ubiquitous Internet of Things (IoT) services for machines, mobile devices, and users with various quality-of-service (QoS) requirements while ensuring user privacy and robust network security. However, the proliferation of data traffic and the dynamic conditions of next-generation mobile networks present significant challenges in resource management, latency reduction, and security. Integrating artificial intelligence (AI) into 6G mobile edge computing emerges as a promising solution to these challenges. AI enables intelligent decision making, resource optimization, and adaptive management at the network edge, thereby improving performance, reliability, and scalability. By leveraging AI algorithms, we can process the vast amounts of unstructured data generated by resource-constrained IoT devices efficiently and securely, moving data-intensive tasks from cloud servers closer to the data source. This Special Issue welcomes original research and review articles that explore innovative AI algorithms designed for 6G mobile edge computing and network security. We seek contributions that address the unique challenges of ultra-dense networks, heterogeneous devices, and stringent security requirements in 6G environments.
Prof. Dr. Yiying Zhang
Guest Editor
Manuscript Submission Information
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Keywords
- 6G
- artificial intelligence
- IoT
- network security
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