Hyper-Dimensional Modulation for Robust Short Packets in Massive Machine-Type Communications
Hyper-Dimensional Modulation for Robust Short Packets in Massive Machine-Type Communications
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DOI：
10.1109/tcomm.2023.3239512
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发表时间：
2023-03
影响因子：
8.3
通讯作者：
Chin-Wei Hsu;Hun-Seok Kim
中科院分区：
文献类型：
--
作者：
Chin-Wei Hsu;Hun-Seok Kim
本文介绍了用于大规模机器类型通信(MMTC)的超维调制(HDM)。HDM通过在超维向量中的许多元素上扩展信息比特并叠加一组这样的非正交向量来实现短分组的稳健通信。在加性高斯白噪声(AWGN)信道中，针对短包，提出的CRC辅助K-Best译码算法可以获得很低的误包率(PER)。此外，还提出了扩展的译码算法来对抗MMTC网络中的压倒性干扰。综合仿真和实际实验结果表明，HDM在AWGN信道中的性能优于稀疏叠加码，在短包传输的强干扰信道中，HDM的性能优于极性码和咬尾卷积码等先进的短码。
In this paper, we introduce Hyper-Dimensional Modulation (HDM) for massive machine-type communications (mMTC). HDM enables robust communication of short packets by spreading information bits across many elements in a hyper-dimensional vector and superimposing a set of such non-orthogonal vectors. The proposed CRC-aided K-best decoding algorithm for HDM can achieve a very low packet error rate (PER) in additive white Gaussian noise (AWGN) channels for short packets. Furthermore, extended decoding algorithms are proposed to combat overwhelming interference in an mMTC network. Comprehensive simulation and real-world experiment results show that HDM outperforms sparse superposition codes in AWGN channels and state-of-the-art short codes such as polar and tail-biting convolutional codes in interference-heavy channels for short packet transmissions.