Overview Of Channel Coding Schemes and Its Comparative Analysis For 5G Wireless Networks

Authors

  • Pushpa Mamoria Department of Computer Applications, UIET, Chhatrapati Shahu ji Maharaj University Kanpur, India
  • Genet G. Gebrealif Department of Electronics and Communication Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Adama, P. O. Box.1888, Ethiopia
  • Demissie Jobir Gelmecha Department of Electronics and Communication Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Adama, P. O. Box.1888, Ethiopia
  • Shanko Chura Department of Electronics and Communication Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Adama, P. O. Box.1888, Ethiopia
  • Rajeev K. Shakya Department of Electronics and Communication Engineering, School of Electrical Engineering and Computing, Adama Science and Technology University, Adama, P. O. Box.1888, Ethiopia

DOI:

https://doi.org/10.15379/ijmst.v10i5.3797

Keywords:

Polar coding, Bit Error Rate,, Frame Error Rate, 5G networks

Abstract

Nowadays 5G wireless communication is a fast-growing technology. The data transmitted by the 5G wireless communication channel is exposed to error due to the unpredictable noise, interference, fading, device limitations, and other factors. Channel coding is used to fix those problems produced during data transmission and reception in 5G wireless communication networks this means channel coding is a vital unit of 5G wireless communication networks. One best solution for 5G communication is to use polar coding which achieves the capacity of binary memoryless symmetric channels with the best errorcorrecting performance. Successive cancellation (SC), successive cancellation list (SCL), and their modification are the most known polar decoding algorithms used for 5G. This article presents an overview on latest research on polar decoding algorithms and the performance comparison on appropriate polar coding techniques. The performance affecting parameters have been identified based on the analysis. The performance evaluation is done for different values of bit energy to noise spectral ratio (Eb/No), code rate, and list size to compare the performance of polar code with SC decoding, interleaving polar code with SC decoding (I-SC), cyclic redundancy check aided polar code with SCL decoding (CRC-A-SCL), interleaved cyclic redundancy check aided polar code with SCL decoding (I-CRC-A-SCL), cyclic redundancy check aided interleaved polar code with SCL decoding (CRC-A-I-SCL) and interleaved cyclic redundancy check aided interleaved polar code with SCL decoding (I-CRC-A-I-SCL) under BPSK modulation and AWGN channel model. The most performance-affecting parameters are code rate, CRC length, and list size when comparison on polar coding techniques have been done based performance measure of BER and FER. It is found based on results and analysis that the CRC-A-SCL polar coding scheme has a BER value of 0.94%, the I-CRC-A-SCL polar coding scheme has 0.45%, the CRC-A-I-SCL polar coding scheme has 0.14%, and the I-CRC-A-I-SCL polar coding scheme has 0.03% at Eb/No of 2.4dB, list size 8 and CRC length 16 over AWGN channel and BPSK modulation. The I-CRC-A-I-SCL polar coding scheme has proven to be a promising candidate for 5G wireless communication networks.

 

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Published

2023-12-22

How to Cite

[1]
P. . Mamoria, G. G. . Gebrealif, D. J. . Gelmecha, S. . Chura, and R. K. . Shakya, “Overview Of Channel Coding Schemes and Its Comparative Analysis For 5G Wireless Networks ”, ijmst, vol. 10, no. 5, pp. 1207-1219, Dec. 2023.

Issue

Vol. 10 No. 5 (2023): Continuous publication

Section

Articles

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