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Evaluation of Channel Coding Techniques for Massive Machine-Type Communication in 5G Cellular Network

机译:5G蜂窝网络中大规模机器类型通信的信道编码技术评估

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Recently, an intensive discussion on candidate channel coding schemes for the fifth-generation (5G) mobile communication systems has been carried out both in academia and industry. We added to this discussion by providing a comparison between two capacity-achieving channel codes: Low-density Parity-Check (LDPC) codes and Polar codes. The considered codes have been selected as the standard for 5G New Radio (NR) by the 3rd Generation Partnership Project (3GPP). We investigate these codes in terms of Frame Error Rate (FER) on small and moderate length message transmission in the context of Massive Machine type communication (mMTC). Multiple decoding implementation schemes are considered for both codes and compare their error correction performance over an Additive White Gaussian Noise (AWGN) channel. The simulation results reveal that polar codes under the Cyclic redundancy code (CRC) aided Successive Cancellation list (CA-SCL) decoding performs better as compared to other decoding patterns in terms of reliability. Furthermore, we analyze the impact of CRC length on the decoding performance of CA-SCL.
机译:最近,在学术界和工业界都对第五代(5G)移动通信系统的候选信道编码方案进行了深入的讨论。我们通过在两个可实现容量的信道代码之间进行比较来增加了讨论:低密度奇偶校验(LDPC)代码和Polar码。第三代合作伙伴计划(3GPP)已将考虑的代码选择为5G新无线电(NR)的标准。我们在大型机器类型通信(mMTC)的上下文中,根据中小长度消息传输中的帧错误率(FER)来研究这些代码。两种代码均考虑了多种解码实现方案,并比较了它们在加性高斯白噪声(AWGN)通道上的纠错性能。仿真结果表明,与其他解码模式相比,在循环冗余码(CRC)辅助连续消除列表(CA-SCL)解码下的极性码性能要好于其他解码模式。此外,我们分析了CRC长度对CA-SCL解码性能的影响。

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