Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Artificial Intelligence and Machine Learning Approaches to Communication

Artificial Intelligence and Machine Learning Approaches to Communication

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Impact Score 0.99

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Special Issue Information

Submission Deadline: 01-10-2021
Journal Impact Score: 0.99
Journal Name: ICT Express
Publisher: ICT Express

Special Issue Call for Papers


Call for Papers for



ICT Express Open Access Journal



http://www.journals.elsevier.com/ict-express/



Special Issue on Artificial Intelligence and Machine Learning



Approaches to Communication



Artificial intelligence and machine learning (AI/ML) have achieved remarkable successes in image recognition, voice recognition, natural language processing, robotic control in recent years since the deep learning revolution. Application of AI/ML is now pervasive into many other fields beyond the aforementioned conventional computer science areas, and communication is one of such fields that may benefit from recent advances in AI/ML. The classical framework in communication has evolved into model-based approaches and this is partly owing to excellent modelling of thermal noise as Gaussian noise. In the classical model-based approach to communication, the channel is modeled as a conditional probability for each channel input and the unknown information at the transmitter is then decoded by optimal maximum a posteriori decision rule. In this regard, the development of efficient methods for channel identification and receiver decoding algorithms in addition to capacity-increasing transceiver schemes was the main topic of communication. However, as the frequency of communication increases from mmWave bands to THz and the scale of communication systems reaches the unprecedented level, as envisioned in 6G, the precise modeling of channels is not easy and the conventional design and optimization approaches to communication system design based on concrete analytic models may not be as effective as before. This imposes new challenges to communication system designers and researchers and necessitates rethinking classical communication systems and network design approaches.



The goal of this special issue is to provide a forum for discussing new ideas and recent developments in AI/ML approaches to communication addressing the challenges in current and emerging communication systems and networks. Prospective authors are invited to submit original manuscripts on topics including, but not limited to:




Guest Editors:
Youngchul Sung, KAIST, South Korea, [email protected]
Y.-W. Peter Hong, National Tsing Hua University, Taiwan, [email protected]
Seung Jun Kim, University of Maryland, Baltimore County, USA, [email protected]
Joongheon Kim, Korea University, South Korea, [email protected]
Wonjae Shin, Ajou University, South Korea, [email protected]



Important Dates (Tentative):
October 1, 2021: Paper submission deadline
December 1, 2021: Reviews returned to authors
January 1, 2022: Final revised manuscript due
January 31, 2022: Final decision due
March 31, 2022: Publication date



Submission Procedure:



Submissions should follow the author instruction available at http://www.journals.elsevier.com/ict-express. ICT Express is a high-quality quarterly archival journal published by KICS and hosted by Elsevier. ICT Express invites short length (up to 4 pages in double columns) high-quality, original articles. Papers published in the ICT Express are indexed in Directory of Open Access Journals (DOAJ), Science Direct, and SCIE (Science Citation Index Expanded). For any questions, please contact the lead guest editor Prof. Youngchul Sung.

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