Call for Papers on Information Theory with Artificial Intelligence in 5G/6G Networks
Theme. Mutual / single information theory has been the theoretical background of old and advanced communication systems. Information theory has shown innovative directions for future breakthroughs at each critical evolution stage of every mobile communication generation. Modern wireless communications revolve around infinitely more complicated topologies, which often include multiple users, fluctuating channel strengths, and nodes that cooperate or compete. Data transmission will be more complex as the size of the network increases. Recently, the applications of Artificial Intelligence (AI) and Machine Learning (ML) technologies in wireless communications have drawn significant attention, and it is well known that information theory has made significant contribution to both technologies. AI has demonstrated tangible success in speech understanding, image identification, and natural language processing domains, thus exhibiting its great potential in solving problems that cannot be easily modelled. AI techniques have become an enabler in wireless communications to fulfill the increasing and diverse requirements across an extensive range of application scenarios in modern 5G/6G networks. There are several typical wireless scenarios, such as channel modeling, channel decoding, signal detection, and channel coding design, in which AI, ML and deep neural networks play an important role.
This Special Issue aims to encourage researchers to present original and recent developments in information theory, which analyze in depth 5G/6G networks. The Issue focuses on the fundamental theory, performance limits, design, and management issues in 5G/6G communication systems. For this purpose, submissions of comprehensive overviews and surveys for future networks as well as original papers related to these techniques are welcomed. Topics of interest include, but are not limited to the following areas:
- Single/mutual information in 5G/6G communication systems
- Channel capacity bounds, code designs, and applications
- AI in 5G and 6G wireless communications
- ML in 5G and 6G communication systems
- Novel resource controls for 5G/6G communication systems
- Novel system architectures for computing the information
- Integration of wireless information and energy transfer
- Big data technology for 5G/6G wireless networks
- Novel waveform design and multiple access methods
- Cell-free massive multiple-input multiple-output (MIMO) networks for 5G/6G communication systems
- Quantum communications, networks, and architecture
- Advanced computing methods for information processing
Manuscript preparation and submission
Computer Assisted Methods in Engineering and Science (CAMES) is a refereed international journal published quarterly and indexed by Scopus and EBSCO databases.
All manuscripts must be submitted through the journal website: https://cames.ippt.pan.pl/index.php/cames/about/submissions
Submission must be clearly marked in the system as “Information Theory with AI in 5G/6G Networks”. The publication in this Special Issue is free of charge for the Authors and the published manuscripts will be freely available for the Readers through the Journal website (https://cames.ippt.pan.pl).
Deadline for full-length paper submission: March 30, 2022
Notification of the reviewers’ 1st feedback: April 30, 2022
Deadline for the revised version submission: May 30, 2022
Announcement of acceptance by Guest Editors: June 30, 2022
Deadline for the final manuscript submission: July 30, 2022
Dr. Anil Kumar Budati – Associate Professor, Department of ECE, GRIET (Autonomous), Hyderabad, India
Dr. M. Kamrul Hasan – Associate Professor, Center for Cyber Security, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
Dr. R. Arthi – Professor, Department of ECE, SRM University, Chennai, India
Dr. K. Thangavel – Senior Lecturer, University of Technology and Applied Sciences, Muscat, Oman.
Prof. Michał Kleiber, Editor-in-Chief – ECCOMAS President, Institute of Fundamental Technological Research, Warsaw, Poland
Prof. Tadeusz Burczyński, Co-Editor-in-Chief – Chairman of TC on Computational Solids & Structural Mechanics of ECCOMAS, Director of Institute of Fundamental Technological Research, Warsaw, Poland