Mathematical Method for Artificial Intelligence and Mobile Edge Computing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 824
Special Issue Editors
Interests: mobile edge computing; vehicle networking; swarm intelligence perception; federated learning and mobile social networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the popularization of diverse smart Mobile Devices (MDs) and the advent of many new wireless services in the emerging 5G networks, mobile applications, especially for more and more computation-intensive tasks such as online interactive game, face recognition and location-based augmented/virtual reality, have led to an explosive growth of data traffic. Mobile Edge Computing (MEC), which brings network functions and contents to the network edge, has been proposed. According to ETSI, MEC is an important component in the 5G architecture. Compared with mobile Cloud computing (MCC), MEC empowers MCC by extending cloud computing and caching services from the centralized cloud to the edge of networks, which can improve the Quality of Service (QoS) of mobile applications with considerably reduced latency and power consumption.
Recently, some researchers have paid attention to the combination of AI and MEC. However, integrating AI with MEC still raise several major challenges in various aspects of algorithm design, resource allocation, security, privacy, incentive mechanism, etc. This special issue solicits papers with novel contributions that address such issues regarding advances in Mathematical Method for Artificial Intelligence and Mobile Edge Computing. Experts and scholars from both industry and academia are encouraged to demonstrate their latest research progress, achievements and potential directions in this area.
Potential topics of interest include but are not limited to the following:
- Information fusion and sensing for Artificial Intelligence and Mobile Edge Computing
- Federated learning for Artificial Intelligence and Mobile Edge Computing
- Networking architectures, protocols for supporting AI and edge computing empowered autonomous driving
- Deep-learning algorithm at the edge servers
- Framework design and optimization for Artificial Intelligence and Mobile Edge Computing
- Trust, security, and privacy in Artificial Intelligence and Mobile Edge Computing
- Resource management for Artificial Intelligence and Mobile Edge Computing
- The exploration of applications for Artificial Intelligence and Mobile Edge Computing
Prof. Dr. Huan Zhou
Dr. Yao Zhang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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
- mobile edge computing
- deep-learning algorithm
- framework design and optimization
- networking architectures
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