Evaluating the Productivity of HDL Efficient Coding Models for 5G Information Networks

The article studies the principles of constructing encoders and decoders using the hardware description language (HDL). Models of efficient coding systems for information networks of 5G technology are proposed. Evaluation of the effectiveness of the proposed models was carried out by research and comparison of the performance of turbo codes, LDPC and polar codes. The architecture of efficient coding systems, HDL coding algorithms are described, recommendations are given for the configuration, interleaving, framing, and delay procedures. The productivity of coding systems is carried out by setting the bit error rate (BER) for different information block lengths and coding rates. During the research, signal-code constructions were used that cover various scenarios of reliability and high-throughput networks. It is assumed that the results obtained will be useful in the design processes of practical coding schemes in 5G networks.