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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8302397/ |
_version_ | 1818644537212403712 |
---|---|
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. |
first_indexed | 2024-12-17T00:16:25Z |
format | Article |
id | doaj.art-298ef77d086a48b6ba93b6b86460cb56 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-17T00:16:25Z |
publishDate | 2018-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
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/ |
work_keys_str_mv | AT yuhan lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot AT zhenyongwang lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot AT dezhili lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot AT qingguo lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot AT gongliangliu lowcomplexityiterativedetectionalgorithmformassivedatacommunicationiniiot |