Applications of AI for 5G and Beyond Communications: Network Management, Operation, and Automation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (15 September 2020) | Viewed by 44348
Special Issue Editors
Interests: AI; artificial intelligence; big data; internet of energy; health; 5G/6G wireless communications; multimedia; computer vision; IoT platform
Special Issues, Collections and Topics in MDPI journals
Interests: small cell networks, convergence networks, 5G/6G communications, optical wireless communications, IoT, and artificial intelligence
Interests: wireless ad-hoc network; cognitive radio; wireless sensing technology; wireless network protocol; mobile network communications; ITS and software radio
Special Issues, Collections and Topics in MDPI journals
Interests: mobile ad hoc networks; vehicular networks; mobile communication; computer networks; wireless networks; MANETs; VANETs
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) and Machine Learning (ML) are the quickest growing, most demanded techniques for the development of information and communication technology. Recent advances in AI and ML are providing unbelievable solutions and performing types of tasks that once seemed impossible. Applications of AI techniques in wireless communications will facilitate automation in network management and operations. Fifth-Generation (5G) and beyond communication systems are expected to provide services with massive connectivity, ultra-high data-rate, ultra-low latency, extremely high security, and extremely low energy consumption. It will be very difficult to achieve these goals without automation of the network systems. Applications of AI techniques in communication technologies are expected to make all these possible. AI can provide intelligent solutions for the design, management, and optimization of wireless resources. AI/ML techniques improve the way that we currently use network management, operations, and automation. They will be a great platform for the supporting software-defined networking (SDN) and network function virtualization (NFV), which are considered important technologies for the deployment of 5G and beyond communication systems. The increased complexity arising from the presence of heterogeneous network systems will be handled by AI techniques.
This special issue calls for high-quality unpublished research works on recent advances related to the application of AI for heterogeneous wireless communication systems. Contributions may present and solve open research problems, integrate efficient novel solutions, performance evaluation, and comparison with existing solutions. Theoretical as well as experimental studies for typical and newly emerging AI techniques, and use cases enabled by recent advances in wireless communications are encouraged. High-quality review papers are also welcomed.
Potential topics include, but are not limited to the following:
- Theoretical approaches and methodologies for AI-enabled communication systems
- AI and ML for network management
- AI-enabled networks design and architecture
- AI and ML in wireless communications and networking
- Radio resource management
- AI-enabled SDN and NFV
- AI- enabled dynamic network slicing
- AI- enabled security methods for IoT
- AI-based network intelligence for IoT
- Sequential analysis and reinforcement learning for wireless communications
- AI-enabled ultra-dense network
- Big data enabled wireless networking
- AI- enabled network pricing models
- Graph computing for communication networks
- Signal processing over networks and graphs
- Energy efficient network operation
Prof. Dr. Yeong Min Jang
Dr. Mostafa Zaman Chowdhury
Prof. Dr. Takeo Fujii
Prof. Dr. Juan Carlos Cano
Guest Editors
Manuscript Submission Information
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Keywords
- Artificial Intelligence
- 5G communication
- network management
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