An efficient Channel Coding Architecture for 5G Wireless using High-Level Synthesis

In today's fast paced world, the demand for Mobile Internet is increasing day by day. The fourth generation (4G) systems are now in use world-wide. The present day's 4G LTE has some challenges left such as higher data rates and spectral efficiency due to the tremendous increase in the number of mobile internet users. This led us to a situation of replacing Turbo codes of 4G systems with a channel code that promises higher throughputs. Ever since, the 3GPP had accepted the LDPC codes as a channel coding scheme for 5G wireless communications, a lot of research is going on to optimize the decoder. In 5G, polar codes and LDPC codes are used for error correction for the control channel and data channel respectively. The prime objectives of fifth generation systems are higher data rate, higher spectral efficiency, higher throughput, higher bandwidth, and higher energy efficiency that too at lower latency. There are enormous challenges in the implementation of Channel coding techniques for meeting the requirements of 5G. This highly motivated us to work on the design of efficient LDPC encoder and decoder. Channel coding plays a vital role in any wireless communication system. This work presents a novel efficient high-throughput encoder and decoder for Low Density Parity Check codes for 5th generation wireless Communications. This work proposes strategies to achieve high-throughput Channel coding architecture for LDPC codes using HLS. The proposed design achieves peak throughputs which sufficiently meets the throughput requirement for the 5G NR standard.