Simulation of Dynamic Weighted MS Decoding Algorithm on LDPC for 5G

Wang Qianchun, Jonathan M. Caballero
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Abstract

According to the characteristics of high-speed, low delay, large-capacity data transmission and various scenarios in 5G mobile communication, an improved decoding algorithm based on LDPC code for 5G is proposed. The algorithm adopts dynamic weighting decoding method to dynamically weight the information. In this way, the iteration can be accelerated when the information is transmitted, to reduce the number of iterations and improve the gain at the same time. From the point of view that 5G channel coding needs to support more bit rates, the simulation results show that compared with the traditional decoding algorithm, the performance of the improved MS algorithm is improved by about 0.4dB, and the dynamic weighting method improves the decoding performance and reduces the number of decoding iterations.
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5G LDPC上动态加权MS译码算法仿真
针对5G移动通信中高速、低时延、大容量数据传输和多场景的特点,提出了一种改进的基于LDPC码的5G译码算法。该算法采用动态加权解码方法对信息进行动态加权。这样可以在传输信息时加速迭代,减少迭代次数,同时提高增益。从5G信道编码需要支持更多比特率的角度出发,仿真结果表明,与传统的译码算法相比,改进的MS算法的性能提高了约0.4dB,动态加权方法提高了译码性能,减少了译码迭代次数。
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