Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications
In the grant-free massive machine-type communication (mMTC) scenario, a key challenge is the joint device activity detection and data decoding. The sporadic nature of mMTC makes compressed sensing a promising solution to the activity detection problem. However, the typical two-phase coherent transmi...
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doaj-01b0f6d66026413e862938d3ab2f34722021-03-30T02:09:20ZengIEEEIEEE Access2169-35362020-01-018414524146510.1109/ACCESS.2020.29768249016020Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type CommunicationsZihan Tang0https://orcid.org/0000-0003-1514-0607Jun Wang1Jintao Wang2https://orcid.org/0000-0002-5245-5379Jian Song3Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, ChinaBeijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, ChinaBeijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, ChinaBeijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, ChinaIn the grant-free massive machine-type communication (mMTC) scenario, a key challenge is the joint device activity detection and data decoding. The sporadic nature of mMTC makes compressed sensing a promising solution to the activity detection problem. However, the typical two-phase coherent transmission scheme, which divides channel training and data decoding into two separate phases, suffers performance losses, especially when only a few bits of data are transmitted by each active device. This paper follows a newly proposed non-coherent transmission scheme in which the data bits are embedded in the pilot sequences and the BS simultaneously detects active devices and decodes the embedded data bits without explicit channel estimation. To exploit statistical channel information and the specific structure of the sparsity pattern introduced by the non-coherent transmission scheme, i.e., only one row in each section can be non-zero, we propose a receiving method based on the approximate message passing (AMP) algorithm with non-separable minimum mean-squared error denoisers specifically designed for the problem. The corresponding state evolution equations, which can be used to predict the section error rate (SER) performance, is obtained and simplified under certain assumptions. We also derive closed-form expressions of the SER performance based on the state evolution results. Finally, numerical simulations are given to validate the accuracy of the performance analysis and to show the superiority of the proposed receiving method over the conventional method based on AMP with separable denoisers in the literature.https://ieeexplore.ieee.org/document/9016020/Massive machine-type communication (mMTC)non-coherent transmissiongrant-free NOMAapproximate message passing (AMP)non-separable denoiserstate evolution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zihan Tang Jun Wang Jintao Wang Jian Song |
spellingShingle |
Zihan Tang Jun Wang Jintao Wang Jian Song Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications IEEE Access Massive machine-type communication (mMTC) non-coherent transmission grant-free NOMA approximate message passing (AMP) non-separable denoiser state evolution |
author_facet |
Zihan Tang Jun Wang Jintao Wang Jian Song |
author_sort |
Zihan Tang |
title |
Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications |
title_short |
Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications |
title_full |
Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications |
title_fullStr |
Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications |
title_full_unstemmed |
Device Activity Detection and Non-Coherent Information Transmission for Massive Machine-Type Communications |
title_sort |
device activity detection and non-coherent information transmission for massive machine-type communications |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
In the grant-free massive machine-type communication (mMTC) scenario, a key challenge is the joint device activity detection and data decoding. The sporadic nature of mMTC makes compressed sensing a promising solution to the activity detection problem. However, the typical two-phase coherent transmission scheme, which divides channel training and data decoding into two separate phases, suffers performance losses, especially when only a few bits of data are transmitted by each active device. This paper follows a newly proposed non-coherent transmission scheme in which the data bits are embedded in the pilot sequences and the BS simultaneously detects active devices and decodes the embedded data bits without explicit channel estimation. To exploit statistical channel information and the specific structure of the sparsity pattern introduced by the non-coherent transmission scheme, i.e., only one row in each section can be non-zero, we propose a receiving method based on the approximate message passing (AMP) algorithm with non-separable minimum mean-squared error denoisers specifically designed for the problem. The corresponding state evolution equations, which can be used to predict the section error rate (SER) performance, is obtained and simplified under certain assumptions. We also derive closed-form expressions of the SER performance based on the state evolution results. Finally, numerical simulations are given to validate the accuracy of the performance analysis and to show the superiority of the proposed receiving method over the conventional method based on AMP with separable denoisers in the literature. |
topic |
Massive machine-type communication (mMTC) non-coherent transmission grant-free NOMA approximate message passing (AMP) non-separable denoiser state evolution |
url |
https://ieeexplore.ieee.org/document/9016020/ |
work_keys_str_mv |
AT zihantang deviceactivitydetectionandnoncoherentinformationtransmissionformassivemachinetypecommunications AT junwang deviceactivitydetectionandnoncoherentinformationtransmissionformassivemachinetypecommunications AT jintaowang deviceactivitydetectionandnoncoherentinformationtransmissionformassivemachinetypecommunications AT jiansong deviceactivitydetectionandnoncoherentinformationtransmissionformassivemachinetypecommunications |
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1724185698031894528 |