Comparative Study of Channel Coding Schemes for 5G
Walled Abdulwhab, Abdulkareem Kadhim
Journal of Electronic Systems, Vol. 8, No. 3, 2018.
DOI: https://doi.org/10.6025/jes/2018/8/3/95-102
Link: http://www.dline.info/jes/fulltext/v8n3/jesv8n3_2.pdf
Abstract:
Channel coding is required to correct transmission errors that are caused by noise, interference and poor signal strength. 3G and 4G systems already used turbo code for error correction. 3GPP and other standardization bodies are
currently debating whether to use Low Density Parity Check (LDPC) or polar code instead in 5G. In this paper we look into
5G requirements for channel coding and review candidate channel coding schemes for 5G. A comparative study is presented
for possible channel coding candidates of 5G covering Convolutional, Turbo, LDPC, and Polar codes. It seems that polar
code with Successive Cancellation List (SCL) decoding using small list length (such as 8) is a promising choice for short
message lengths (â‰¤ 128 bits) due to its error performance and relatively low complexity. Adopting non-binary LDPC can
provide good performance on the expense of increased complexity but with better spectral efficiency. Considering the
implementation, polar code with decoding algorithms based on SCL required small area and low power consumption when compared to LDPC codes. For larger message lengths (â‰¥ 256 bits) turbo code can provide better performance at low coding rates (<1/2).