Compressive massive random access for massive machine-type communications (mMTC)

Malong Ke, Zhen Gao, Yongpeng Wu, Xiangming Meng

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)
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摘要

In future wireless networks, one fundamental challenge for massive machine-type communications (mMTC) lies in the reliable support of massive connectivity with low latency. Against this background, this paper proposes a compressive sensing (CS)-based massive random access scheme for mMTC by leveraging the inherent sporadic traffic, where both the active devices and their channels can be jointly estimated with low overhead. Specifically, we consider devices in the uplink massive random access adopt pseudo random pilots, which are designed under the framework of CS theory. Meanwhile, the massive random access at the base stations (BS) can be formulated as the sparse signal recovery problem by leveraging the sparse nature of active devices. Moreover, by exploiting the structured sparsity among different receiver antennas and subcarriers, we develop a distributed multiple measurement vector approximate message passing (DMMV-AMP) algorithm for further improved performance. Additionally, the state evolution (SE) of the proposed DMMV-AMP algorithm is derived to predict the performance. Simulation results demonstrate the superiority of the proposed scheme, which exhibits a good tightness with the theoretical SE.

源语言英语
主期刊名2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
156-160
页数5
ISBN(电子版)9781728112954
DOI
出版状态已出版 - 2 7月 2018
活动2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Anaheim, 美国
期限: 26 11月 201829 11月 2018

出版系列

姓名2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings

会议

会议2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
国家/地区美国
Anaheim
时期26/11/1829/11/18

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引用此

Ke, M., Gao, Z., Wu, Y., & Meng, X. (2018). Compressive massive random access for massive machine-type communications (mMTC). 在 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings (页码 156-160). 文章 8646496 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2018.8646496