Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT

As the fundamental problem of Industrial Internet of Things, massive data communication based on non-orthogonal multiple access is attractive. An iterative multiuser receiver provides a substantial performance improvement, but suffers from a distortion that the overestimation of output reliability v...

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Main Authors: Yu Han, Zhenyong Wang, Dezhi Li, Qing Guo, Gongliang Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8302397/
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author Yu Han
Zhenyong Wang
Dezhi Li
Qing Guo
Gongliang Liu
author_facet Yu Han
Zhenyong Wang
Dezhi Li
Qing Guo
Gongliang Liu
author_sort Yu Han
collection DOAJ
description As the fundamental problem of Industrial Internet of Things, massive data communication based on non-orthogonal multiple access is attractive. An iterative multiuser receiver provides a substantial performance improvement, but suffers from a distortion that the overestimation of output reliability values for bad channels. Furthermore, the main challenge lies in the high computational complexity. This paper develops an improved iterative multiuser receiver with independent channel information. In order to analyze its performance, JS-divergence is introduced to measure the correlation of exchanged information between the detector and the decoder. Low-complexity iterative detection algorithm based on JS-divergence values is proposed in this paper. The simulation results demonstrate that the proposed iterative multiuser receiver reduces the overestimation of reliability values and improves the system performance when Eb/N0 is less than 3 dB. The low-complexity iterative detection algorithm can terminate in advance when JS-divergence values of all users reach to a threshold and reduce the number of outer-loop iterations and computational complexity greatly.
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spelling doaj.art-298ef77d086a48b6ba93b6b86460cb562022-12-21T22:10:42ZengIEEEIEEE Access2169-35362018-01-016111661117210.1109/ACCESS.2018.28090068302397Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoTYu Han0https://orcid.org/0000-0002-8155-1706Zhenyong Wang1https://orcid.org/0000-0001-8236-7073Dezhi Li2Qing Guo3Gongliang Liu4https://orcid.org/0000-0001-7534-4201School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaAs the fundamental problem of Industrial Internet of Things, massive data communication based on non-orthogonal multiple access is attractive. An iterative multiuser receiver provides a substantial performance improvement, but suffers from a distortion that the overestimation of output reliability values for bad channels. Furthermore, the main challenge lies in the high computational complexity. This paper develops an improved iterative multiuser receiver with independent channel information. In order to analyze its performance, JS-divergence is introduced to measure the correlation of exchanged information between the detector and the decoder. Low-complexity iterative detection algorithm based on JS-divergence values is proposed in this paper. The simulation results demonstrate that the proposed iterative multiuser receiver reduces the overestimation of reliability values and improves the system performance when Eb/N0 is less than 3 dB. The low-complexity iterative detection algorithm can terminate in advance when JS-divergence values of all users reach to a threshold and reduce the number of outer-loop iterations and computational complexity greatly.https://ieeexplore.ieee.org/document/8302397/Industrial Internet of Thingsmassive data communicationiterative multiuser receiverJS-divergencelow-complexity detection.
spellingShingle Yu Han
Zhenyong Wang
Dezhi Li
Qing Guo
Gongliang Liu
Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT
IEEE Access
Industrial Internet of Things
massive data communication
iterative multiuser receiver
JS-divergence
low-complexity detection.
title Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT
title_full Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT
title_fullStr Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT
title_full_unstemmed Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT
title_short Low-Complexity Iterative Detection Algorithm for Massive Data Communication in IIoT
title_sort low complexity iterative detection algorithm for massive data communication in iiot
topic Industrial Internet of Things
massive data communication
iterative multiuser receiver
JS-divergence
low-complexity detection.
url https://ieeexplore.ieee.org/document/8302397/
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AT zhenyongwang lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot
AT dezhili lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot
AT qingguo lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot
AT gongliangliu lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot