T. Ranjitha Devi, and Dr. C. Kamalnathan
Convolution Assisted Polar Encoder With Flexible Iterative Decoding For Forward Error Correction In Wireless Communication Incorporated In Fpga
The effectiveness of Forward Error Correction (FEC) approaches depends on the coding scheme and code length, which result in increasing processing latency and delay. Hence, a novel Convolution Assisted Polar Encoder with Flexible Iterative Decoding (CAPE-FID) is proposed to improve communication efficiency by reducing latency and retransmission. Existing approaches use longer block length codes for error correction and seamless communication, but it unnecessarily increases bits, affecting bandwidth and data rate. Hence, a novel Polarized Convolutional Encoder (PCE) is introduced, which uses Adaptive Frozen Polar Coding (AFPC) and Convolution coding to eliminate unnecessary high redundancy from the input data, improving both the useful data rate and the efficient use of available bandwidth. Existing CRC algorithms' lower-degree polynomials during divisional detection cause collisions, thus incorrectly identifying error-free data, causing overhead and affecting data transmission overall. Hence, a novel Flexible Turbo Decoder (FTD) is introduced, which uses Reed-Solomon Euclid (RSE) Code and Sequential Concatenated Turbo coding to reduce packet loss and improve data transmission quality and network congestion handling. Finally, the error-corrected data is decoded using Adaptive Polar Coding with reversed polarization transformation (APC-Rpt). The results show that the proposed method has improved efficiency and reduced retransmission rate, latency and error rates.
Reference:
DOI: 10.36244/ICJ.2025.3.7
Please cite this paper the following way:
T. Ranjitha Devi, and Dr. C. Kamalnathan "Convolution Assisted Polar Encoder With Flexible Iterative Decoding For Forward Error Correction In Wireless Communication Incorporated In Fpga", Infocommunications Journal, Vol. XVII, No 3, September 2025, pp. 54-61., https://doi.org/10.36244/ICJ.2025.3.7

