Special Issue "Applications of AI for 5G and Beyond Communications: Network Management, Operation, and Automation"
Deadline for manuscript submissions: 30 June 2019
Prof. Dr. Juan-Carlos Cano
Department of Computer Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
Website | E-Mail
Phone: +34-963877000 (ext. 75746)
Interests: wireless networks, Intelligent Transport Systems (ITS), Computer Networks design, modeling, and implementation, power aware routing protocols, quality of service for mobile ad hoc networks, pervasive computing, and Protocols for Unmanned Aerial Vehicles
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This special issue calls for high-quality unpublished research works on recent advances related to the application of AI for heterogeneous wireless communication systems.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
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 papers will be 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 1500 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.
- Artificial Intelligence
- 5G communication
- network management