Design framework of unsourced multiple access for 6G massive IoT

Chunlin Yan, Siying Lyu, Sen Wang, Yuhong Huang, Xiaodong Xu
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Abstract

In this paper, ambient IoT is used as a typical use case of massive connections for the sixth generation (6G) mobile communications where we derive the performance requirements to facilitate the evaluation of technical solutions. A rather complete design of unsourced multiple access is proposed in which two key parts: a compressed sensing module for active user detection, and a sparse interleaver-division multiple access (SIDMA) module are simulated side by side on a same platform at balanced signal to noise ratio (SNR) operating points. With a proper combination of compressed sensing matrix, a convolutional encoder, receiver algorithms, the simulated performance results appear superior to the state-of-the-art benchmark, yet with relatively less complicated processing.
面向 6G 大规模物联网的无源多址接入设计框架
本文将环境物联网作为第六代(6G)移动通信海量连接的典型使用案例,并在此基础上推导出性能要求,以便于对技术解决方案进行评估。本文提出了一个相当完整的无源多路接入设计方案,其中两个关键部分:用于主动用户检测的压缩传感模块和稀疏交织器-分割多路接入(SIDMA)模块在同一平台上以平衡信噪比(SNR)工作点并行模拟。通过适当组合压缩传感矩阵、卷积编码器和接收器算法,模拟性能结果优于最先进的基准,但处理过程相对不那么复杂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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