Comparing Decoding Performance of LDPC Codes and Convolutional Codes for Short Packet Transmission

In the field of industrial automation research, wireless control in key application scenarios has become a research hotspot. Nevertheless, transmission over wireless channels in industrial environments is prone to interference, resulting in frequent erroneous packet deliveries. Forward Error Correction (FEC) code as an approach is able to effectively improve reliability and reduce the number of retransmissions. Therefore, channel coding needs further analysis to achieve better industrial wireless application. To this aim, this paper compares the decoding performance of convolutional codes and low-density parity-check (LDPC) codes on the condition of short packet transmission. The metrics employed for evaluation are bit error rate (BER) and packet error rate (PER). The logarithmic belief propagation (Log-BP) algorithm and the Viterbi decoding algorithm are adopted to LDPC codes and convolutional codes respectively. The results show that the decoding algorithm of LDPC codes is prominent in short packet transmission.