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All Journal Green Intelligent Systems and Applications
Regina Reine
Twigx Research, 71 – 75 Shelton Street, London WC2H 9JQ, United Kingdom
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Future OFDM-based Communication Systems Towards 6G and Beyond: Machine Learning Approaches Filbert H. Juwono; Regina Reine
Green Intelligent Systems and Applications Vol. 1 Iss. 1 (2021)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.979 KB) | DOI: 10.53623/gisa.v1i1.34

Abstract

The vision towards 6G and beyond communication systems demands higher rate transmission, massive amount of data processing, and low latency communication. Orthogonal Frequency Division Modulation (OFDM) has been adopted in the current 5G networks and has become one of the potential candidates for the future communication systems. Although OFDM offers many benefits including high spectrum efficiency and high robustness against the multipath fading channels, it has major challenges such as frequency offset and high Peak to Power Ratio (PAPR). In 5G communication network, there is a significant increase in the number of sensors and other low-power devices where users or devices may create large amount of connection and dynamic data processing. In order to deal with the increasingly complex communication network, Machine Learning (ML) has been increasingly utilised to create intelligent and more efficient communication network. This paper discusses challenges and the impacts of embedding ML in OFDM-based communication systems.
Reinventing The Future Online Education Using Emerging Technologies Regina Reine; Filbert H. Juwono; W. K. Wong
Green Intelligent Systems and Applications Vol. 1 Iss. 1 (2021)
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.341 KB) | DOI: 10.53623/gisa.v1i1.42

Abstract

The pandemic of Coronavirus Disease 2019 (COVID-19) has forced the teaching and learning activities to be conducted remotely. Before the pandemic, many academic institutions had offered online distance learning for selected courses. However, in practice, most of these programs were delivered as blended learning program instead of a full-fledged distance learning program. Distance learning programs faced challenges and limitations in terms of communication, integrity, and interactions compared to the traditional face-to-face teaching and learning method. Despite the challenges and limitations in distance teaching and learnings, academic staff are expected to accomplish the same (or better) outcomes than the traditional face-to-face teaching and learning. Hence, distance learning method was not popular to many academic staff and students before the pandemic time. In order to improve the quality of  the full distance learning delivery, emerging technologies and more interactive platforms are being developed rapidly.  This article discusses the emerging technologies and strategies to make full distance learning or remote education competitive compared to the traditional teaching and learning method. The future potential teaching and learning technology, i.e., digital twins, is also briefly presented.
Co-Authors Filbert H. Juwono Filbert H. Juwono W. K. Wong