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Evaluating the Performance of LDPC Decoders Using the Sum- Product and Minimum-Sum Algorithms in 5G Communication Networks

Efiyeseimokumo S Ikeremo and Ayibapreye K Benjamin

Abstract

In need to offer multiple services, wireless mobile communication demands a huge amount of data capacity. Peak throughput, low latency, and substantial speed are delivered by 5G networks. Wireless communications increasingly depend on channel coding. Channel coding for the 5G communication networks is facing a fresh difficulty and Sum product algorithm (SPA) is the significant breakthrough in this area. This research evaluates performance of LDPC of Sum product algorithm (SPA) and LDPC of Min-Sum algorithm (MSA) as in channel coding contenders for the 5G communication networks for different coding rates of ½ and 2/3 and at the same block length of 1024. The simulations are implemented using MATLAB R2018b. As the quality criterion of a channel code, FER and BER of the coding schemes is displayed versus SNR for the same block lengths (L=1024) and different code rates of 1/2 and 2/3 correspondingly. The evaluations and comparisons are conducted in terms of FER and BER for the same block length (L=1024) and differing code rates of 1/2 and 2/3. It is evident from the results that the SPA surpasses the other rival algorithm for nearly in all code rates. Also, there is no error floor in case of SPA. Therefore, choice for faster algorithm which are sought for the 5G communication networks because its characteristic of Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine Type Communications (mMTC). Although SPA has demonstrated their potential, faster decoding performance enhancement for tiny block lengths is still an unresolved subject. Channel coding for 5G is a dynamic investigation area as to tackle various outstanding tasks in future.

Keywords

LdpcSpaMsa5gCommunication networks

References

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