OFDMA-based unsourced random access in LEO satellite Internet of Things

Jiaqi Fang, Gang Sun, Wenjin Wang, Li You, Rui Ding
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Abstract

This paper investigates the low earth orbit (LEO) satellite-enabled coded compressed sensing (CCS) unsourced random access (URA) in orthogonal frequency division multiple access (OFDMA) framework, where a massive uniform planar array (UPA) is equipped on the satellite. In LEO satellite communications, unavoidable timing and frequency offsets cause phase shifts in the transmitted signals, substantially diminishing the decoding performance of current terrestrial CCS URA receiver. To cope with this issue, we expand the inner codebook with predefined timing and frequency offsets and formulate the inner decoding as a tractable compressed sensing (CS) problem. Additionally, we leverage the inherent sparsity of the UPA-equipped LEO satellite angular domain channels, thereby enabling the outer decoder to support more active devices. Furthermore, the outputs of the outer decoder are used to reduce the search space of the inner decoder, which cuts down the computational complexity and accelerates the convergence of the inner decoding. Simulation results verify the effectiveness of the proposed scheme.
低地轨道卫星物联网中基于 OFDMA 的无源随机接入
本文研究了低地球轨道(LEO)卫星在正交频分多址(OFDMA)框架下的编码压缩传感(CCS)无源随机存取(URA),其中在卫星上配备了大规模均匀平面阵列(UPA)。在低地轨道卫星通信中,不可避免的定时和频率偏移会导致传输信号的相位偏移,从而大大降低当前地面 CCS URA 接收器的解码性能。为解决这一问题,我们使用预定义的时间和频率偏移来扩展内码本,并将内解码表述为一个可处理的压缩传感(CS)问题。此外,我们还利用了配备 UPA 的低地球轨道卫星角域信道的固有稀疏性,从而使外部解码器能够支持更多有源设备。此外,外层解码器的输出用于缩小内层解码器的搜索空间,从而降低了计算复杂度,加快了内层解码的收敛速度。仿真结果验证了所提方案的有效性。
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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