Investigation on Information Set Optimization of Neural Network Decoders Suitable for Polar and Convolutional Polar Codes

One of the possible methods for obtaining reduced latency is the use of neural network decoder (NND) on polar codes. We also apply the convolutional polar codes. We propose an iterative approach to optimize the information set for NND. The proposed approach reduces the block error rate (BLER) performance by exchanging one bit in the information set for one bit in the frozen set. This process is performed until the improvement is saturated. The simulation results show that the BLER performance was enhanced by using the proposed iterative approach for polar codes and convolutional polar codes.