×
Home Current Archive Editorial board
Instructions for papers
For Authors Aim & Scope Contact
Original scientific article

ACAPE-FID ADAPTIVE CONVOLUTION-ASSISTED POLAR ENCODER WITH FLEXIBLE ITERATIVE DECODING FOR HIGH-EFFICIENCY FPGA WIRELESS COMMUNICATION

By
T. Ranjitha Devi Orcid logo ,
T. Ranjitha Devi

Research Scholar, Electrical Electronics and Communication Engineering, GITAM Deemed to be University, Bengaluru, Karnataka; Assistant Professor, Electronics and Communication Engineering, G.Pullaiah College of Engineering and Technology, Jawaharlal Nehru Technological University Anantapur, Kurnool, Andhra Pradesh India

C. Kamalanathan Orcid logo
C. Kamalanathan
Contact C. Kamalanathan

Associate Professor, Electrical Electronics and Communication Engineering, GITAM Deemed to be University , Bengaluru, Karnataka , India

Abstract

Reliable wireless communication needs a highly efficient Forward Error Correction (FEC) technique in order to counter the effects of noise, interference, and losses. Most existing FEC techniques add too much redundancy and create extra latency, thereby reducing the efficiency of bandwidth utilization. Hence, the purpose of the current research is to design a new model, called Adaptive Convolution-Assisted Polar Encoder with Flexible Iterative Decoding (ACAPE-FID). This hybrid FEC method uses a combination of Adaptive Frozen Polar Coding, Convolutional Encoding, and Flexible Iterative Decoding using        Reed-Solomon Euclidean. ACAPE-FID adapts the number of frozen bits based on the number of input bits, so there is no unnecessary redundancy in the system, and it uses sequential Turbo-based iterative decoding to achieve correct error correction in case of congestion in channels. The developed algorithm was designed and implemented using MATLAB HDL Coder on Xilinx Zynq-7000 FPGA, and its performance evaluation was conducted to show that ACAPE-FID had superior results in terms of BER=10-9, BLER=10-7, FER=0.001, latency=0.01 μs, loss=1%, efficiency=0.94%, SNR=3.1 dB, PSNR=33, and throughput=12 Mb/s compared to traditional Polar, LDPC, TBCC, and Turbo coding schemes.

References

1.
Luvisotto M, Pang Z, Dzung D. High-performance wireless networks for industrial control applications: New targets and feasibility. Proceedings of the IEEE. 2019 Mar 5;107(6):1074-93.
2.
Seijo Ó, López-Fernández JA, Val I. W-SHARP: Implementation of a high-performance wireless time-sensitive network for low latency and ultra-low cycle time industrial applications. IEEE Transactions on Industrial Informatics. 2020 Jul 7;17(5):3651-62.
3.
Tandon B, Thakur M. An overview of adaptive signal processing methods for 6G wireless communication networks. International Academic Journal of Science and Engineering. 2025;12(1):12-5.
4.
Zhan M, Pang Z, Dzung D, Xiao M. Channel coding for high performance wireless control in critical applications: Survey and analysis. IEEE Access. 2018 May 31;6:29648-64.
5.
Rezaei F, Galappaththige D, Tellambura C, Herath S. Coding techniques for backscatter communications—A contemporary survey. IEEE Communications Surveys & Tutorials. 2023 Mar 22;25(2):1020-58.

Citation

This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

Article metrics

Google scholar: See link

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.