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A GUI based Self-learning Tool for Polar Codes using Successive Cancellation and List Decoders

Author(s)
Ahsan, Rafee Al
Khichar, Sunita
Phakphisut, Watid
Wuttisittikulkij, Lunchakorn
Ngamjob, Audsadang
Sasithong, Pruk
Bajpai, Ambar
Saadi, Muhammad
Parnianifard, Amir
Ullah, Irfan
Han, May Pyone
Phyo, Wai
Vanichchanunt, Pisit
Date Issued
November 4, 2020
Type
Conference Paper
DOI
10.1109/ICAIT51105.2020.9261811
Abstract
Recently, the importance of channel coding has become prominent for next-generation 5G wireless communication networks. Channel coding is becoming an active area of research and scholars are aiming to improve their knowledge about channel coding schemes which will be playing a crucial part in high-performance 5G networks. polar codes are the class of channel coding techniques that have been standardized in 5G. Moreover, it is a fact that activity tool-based learning raises the learning efficiency and generates intrinsic motivation for learning. Therefore, the main motivation for designing this paper is to develop a Graphical User Interface (GUI) based learning tool to help students easily learn channel coding techniques. In our teaching curriculum, we have used figure-based interactive representations to teach the basic concepts of polar codes efficiently. This learning tool provides users the option to learn about the encoding technique and two different decoding techniques named as Successive Cancellation (SC) and Successive Cancellation List (SCL) for different lengths of user-defined data bits. This complete model has been designed in Python.
Citation
Proceedings of the 4th International Conference on Advanced Information Technologies Icait 2020, 64-69, 2020
Subjects

5G

Channel combining

Channel splitting

GUI

Polar codes

SC decoder

SCL decoder

Metrics
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