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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.

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. 

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Issue 35, 2026
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