@inproceedings{822af7c07e764059b7886c680ea3832d,
title = "Grant-free random access in massive MIMO based LEO satellite internet of things",
abstract = "Low earth orbit (LEO) satellite based Internet of Things tend to exhibit unique advantages for broad coverage over the earth with relatively low latency. This paper investigates the random access problem in massive multi-input multi-output (mMIMO) systems for LEO satellite communications (Satcom). Specifically, a training sequence based grant-free random access scheme is adopted to deal with the joint activity detection and channel estimation. Considering the limited power supply and hardware cost onboard, a quantized compressive sensing algorithm is developed to mitigate the distortion introduced by low-resolution analog to digital converters. Expectation maximization algorithm is then employed to learn the unknown parameters in the prior assumption. Simulation results verify the effectiveness of our proposed scheme.",
keywords = "LEO satellite, Low-resolution ADC, Massive MIMO, Quantized compressive sensing, Random access",
author = "Zhen Gao and Keke Ying and Chen He and Zhenvu Xiao and Dezhi Zheng and Jun Zhang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021 ; Conference date: 28-07-2021 Through 30-07-2021",
year = "2021",
month = jul,
day = "28",
doi = "10.1109/ICCC52777.2021.9580408",
language = "English",
series = "2021 IEEE/CIC International Conference on Communications in China, ICCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "700--705",
booktitle = "2021 IEEE/CIC International Conference on Communications in China, ICCC 2021",
address = "United States",
}