Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing

Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing

Sparse code multiple access (SCMA) combined with spectrally efficient frequency division multiplexing (SEFDM) is a wireless air-interface technology with dual non-orthogonal characteristic which can meet the high spectral efficiency requirement of the future Internet of Things (IoT). In this paper,...

Full description

Bibliographic Details
Main Authors: Dongbo Li, Min Jia, Xue Wang, Qing Guo, Xuemai Gu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
SCMA
SEFDM
IoT
iterative multiuser detection
interference cancellation
Online Access:https://ieeexplore.ieee.org/document/8950157/
id doaj-d933e174d95848cbb068f919a2359072
record_format Article
spelling doaj-d933e174d95848cbb068f919a23590722021-03-30T02:35:03ZengIEEEIEEE Access2169-35362020-01-018248872489510.1109/ACCESS.2020.29640418950157Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division MultiplexingDongbo Li0https://orcid.org/0000-0001-5786-0392Min Jia1https://orcid.org/0000-0003-3551-8654Xue Wang2https://orcid.org/0000-0001-6155-5411Qing Guo3Xuemai Gu4School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, ChinaSparse code multiple access (SCMA) combined with spectrally efficient frequency division multiplexing (SEFDM) is a wireless air-interface technology with dual non-orthogonal characteristic which can meet the high spectral efficiency requirement of the future Internet of Things (IoT). In this paper, an iterative multiuser detection/decoder (IMUDD) method for SCMA-SEFDM is proposed, which performs soft information iteration in a turbo style. IMUDD can effectively achieve the multiple-access interference (MAI), inter-symbol interference (ISI) and inter-carrier interference (ICI) cancellation through an external iteration and three internal iterative processes. At each iteration, extrinsic information is extracted from detection and decoding stages, then it is used as a priori information in the next iteration. Furthermore, to reduce the computational complexity of IMUDD scheme, a logarithm domain IMUDD is adopted and analyzed. The simulation results show that IMUDD has a noticeable performance improvement compared to the traditional turbo structured receivers over the multipath fading channel or the additive white Gaussian noise (AWGN) channel.https://ieeexplore.ieee.org/document/8950157/SCMASEFDMIoTiterative multiuser detectioninterference cancellation
collection DOAJ
language English
format Article
sources DOAJ
author Dongbo Li
Min Jia
Xue Wang
Qing Guo
Xuemai Gu
spellingShingle Dongbo Li
Min Jia
Xue Wang
Qing Guo
Xuemai Gu
Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing
IEEE Access
SCMA
SEFDM
IoT
iterative multiuser detection
interference cancellation
author_facet Dongbo Li
Min Jia
Xue Wang
Qing Guo
Xuemai Gu
author_sort Dongbo Li
title Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing
title_short Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing
title_full Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing
title_fullStr Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing
title_full_unstemmed Iterative Multiuser Detection and Decoding for Sparse Code Multiple Access Combined With Spectrally Efficient Frequency Division Multiplexing
title_sort iterative multiuser detection and decoding for sparse code multiple access combined with spectrally efficient frequency division multiplexing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description Sparse code multiple access (SCMA) combined with spectrally efficient frequency division multiplexing (SEFDM) is a wireless air-interface technology with dual non-orthogonal characteristic which can meet the high spectral efficiency requirement of the future Internet of Things (IoT). In this paper, an iterative multiuser detection/decoder (IMUDD) method for SCMA-SEFDM is proposed, which performs soft information iteration in a turbo style. IMUDD can effectively achieve the multiple-access interference (MAI), inter-symbol interference (ISI) and inter-carrier interference (ICI) cancellation through an external iteration and three internal iterative processes. At each iteration, extrinsic information is extracted from detection and decoding stages, then it is used as a priori information in the next iteration. Furthermore, to reduce the computational complexity of IMUDD scheme, a logarithm domain IMUDD is adopted and analyzed. The simulation results show that IMUDD has a noticeable performance improvement compared to the traditional turbo structured receivers over the multipath fading channel or the additive white Gaussian noise (AWGN) channel.
topic SCMA
SEFDM
IoT
iterative multiuser detection
interference cancellation
url https://ieeexplore.ieee.org/document/8950157/
work_keys_str_mv AT dongboli iterativemultiuserdetectionanddecodingforsparsecodemultipleaccesscombinedwithspectrallyefficientfrequencydivisionmultiplexing
AT minjia iterativemultiuserdetectionanddecodingforsparsecodemultipleaccesscombinedwithspectrallyefficientfrequencydivisionmultiplexing
AT xuewang iterativemultiuserdetectionanddecodingforsparsecodemultipleaccesscombinedwithspectrallyefficientfrequencydivisionmultiplexing
AT qingguo iterativemultiuserdetectionanddecodingforsparsecodemultipleaccesscombinedwithspectrallyefficientfrequencydivisionmultiplexing
AT xuemaigu iterativemultiuserdetectionanddecodingforsparsecodemultipleaccesscombinedwithspectrallyefficientfrequencydivisionmultiplexing
_version_ 1724185008743120896

Similar Items