This paper presents a robust channel encoding scheme under adaptive modulation and coding for a massive machine type communication device in 5G new radio. For the very first time, mode-selection and distance statistics algorithms have been simultaneously evaluated, in which together it provides the closest approximation of efficient adaptive modulation and coding with robust transmission. The prediction of optimum adaptive modulation and coding is based on the analysis of uplink packet using distance statistics, and downlink packet using mode-selection mechanism. The performance of 5G new radio by incorporating OFDM subcarrier has been evaluated using analytical as well as simulation approach. Mode-selection algorithm has been considered to predict the environmental condition under a fading channel while the distance statistics provide feedback of the previously transmitted channel condition. The result of both the approaches provide a better bit error rate for adaptive modulation & coding profile under 1/4, 1/18, 1/16 and 1/32 cyclic prefix.

本文为 5G 新无线电中的海量机器类型通信设备提出了自适应调制和编码下的鲁棒信道编码方案。这是第一次同时评估模式选择和距离统计算法，它们一起提供了具有稳健传输的高效自适应调制和编码的最接近的近似值。最优自适应调制和编码的预测基于使用距离统计的上行数据包和使用模式选择机制的下行数据包的分析。通过结合 OFDM 子载波的 5G 新无线电性能已经使用分析和仿真方法进行了评估。模式选择算法已被考虑用于预测衰落信道下的环境条件，而距离统计提供先前传输的信道条件的反馈。这两种方法的结果为 1/4、1/18、1/16 和 1/32 循环前缀下的自适应调制和编码配置文件提供了更好的误码率。