LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS

Boxiao Shen, Yongpeng Wu, Wenjun Zhang, Geoffrey Ye Li, Jianping An, Chengwen Xing

科研成果: 期刊稿件会议文章同行评审

6 引用 (Scopus)

摘要

This paper investigates joint channel estimation and device activity detection in the LEO satellite-enabled grant-free random access systems with large differential delay and Doppler shift. In addition, the multiple-input multiple-output (MIMO) with orthogonal time-frequency space modulation (OTFS) is utilized to combat the dynamics of the terrestrial-satellite link. To simplify the computation process, we estimate the channel tensor in parallel along the delay dimension. Then, the deep learning and expectation-maximization approach are integrated into the generalized approximate message passing with cross-correlation-based Gaussian prior to capture the channel sparsity in the delay-Doppler-angle domain and learn the hyperparameters. Finally, active devices are detected by computing energy of the estimated channel. Simulation results demonstrate that the proposed algorithms outperform conventional methods.

源语言英语
页(从-至)3308-3313
页数6
期刊Proceedings - IEEE Global Communications Conference, GLOBECOM
DOI
出版状态已出版 - 2022
活动2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, 巴西
期限: 4 12月 20228 12月 2022

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Shen, B., Wu, Y., Zhang, W., Li, G. Y., An, J., & Xing, C. (2022). LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS. Proceedings - IEEE Global Communications Conference, GLOBECOM, 3308-3313. https://doi.org/10.1109/GLOBECOM48099.2022.10001243