SCMA Joint Coding and Decoding Algorithm Based on Code Reliability

The wide application of the Internet of Things (IoT), large-scale satellite clusters and drone clusters requires multiple access capabilities for massive devices. In order to meet the high-capacity and low-latency access requirements in application scenarios such as the IoT, this paper proposes to a...

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Vydáno v:	Mobile networks and applications Ročník 28; číslo 1; s. 285 - 295
Hlavní autoři:	Zhao, Hongwei, Wang, Huanzhu, Yan, Yue
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.02.2023 Springer Nature B.V
Témata:	Algorithms Bit error rate Clusters Codes Coding Communications Engineering Communications systems Complexity Computer Communication Networks Decoding Electrical Engineering Engineering Errors Internet of Things IT in Business Multiple access Networks Reliability Satellite constellations Signal to noise ratio Simulation Turbo codes Internet of things Decoding algorithm High capacity Sparse code multiple access
ISSN:	1383-469X, 1572-8153
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Abstract	The wide application of the Internet of Things (IoT), large-scale satellite clusters and drone clusters requires multiple access capabilities for massive devices. In order to meet the high-capacity and low-latency access requirements in application scenarios such as the IoT, this paper proposes to apply sparse code multiple access (SCMA) technology to the massive terminal access of the IoT, focusing on the study of SCMA decoding algorithm. Aiming at the high complexity of its traditional decoding algorithm, a decoding algorithm based on codeword reliability is proposed. The algorithm reduces the number of codeword iterations with higher reliability by setting a threshold to reduce the algorithm complexity. The simulation results show that the algorithm reduces the complexity of the algorithm while the loss of bit error rate performance is very small. Then, aiming at the poor bit error rate performance of SCMA technology under the condition of low signal-to-noise ratio, a joint coding and decoding simulation link based on soft input and soft output Turbo code and SCMA technology is proposed. The simulation results prove that Turbo codes can speed up the convergence speed of the decoding algorithm. When the SNR is 4 dB, the bit error rate of the joint system has been reduced to below 10e-3, which has obvious advantages compared with the SCMA system without Turbo coding. Therefore, the two methods proposed in this paper can be used for the high-capacity demand of the IoT communication system.
AbstractList	The wide application of the Internet of Things (IoT), large-scale satellite clusters and drone clusters requires multiple access capabilities for massive devices. In order to meet the high-capacity and low-latency access requirements in application scenarios such as the IoT, this paper proposes to apply sparse code multiple access (SCMA) technology to the massive terminal access of the IoT, focusing on the study of SCMA decoding algorithm. Aiming at the high complexity of its traditional decoding algorithm, a decoding algorithm based on codeword reliability is proposed. The algorithm reduces the number of codeword iterations with higher reliability by setting a threshold to reduce the algorithm complexity. The simulation results show that the algorithm reduces the complexity of the algorithm while the loss of bit error rate performance is very small. Then, aiming at the poor bit error rate performance of SCMA technology under the condition of low signal-to-noise ratio, a joint coding and decoding simulation link based on soft input and soft output Turbo code and SCMA technology is proposed. The simulation results prove that Turbo codes can speed up the convergence speed of the decoding algorithm. When the SNR is 4 dB, the bit error rate of the joint system has been reduced to below 10e-3, which has obvious advantages compared with the SCMA system without Turbo coding. Therefore, the two methods proposed in this paper can be used for the high-capacity demand of the IoT communication system. The wide application of the Internet of Things (IoT), large-scale satellite clusters and drone clusters requires multiple access capabilities for massive devices. In order to meet the high-capacity and low-latency access requirements in application scenarios such as the IoT, this paper proposes to apply sparse code multiple access (SCMA) technology to the massive terminal access of the IoT, focusing on the study of SCMA decoding algorithm. Aiming at the high complexity of its traditional decoding algorithm, a decoding algorithm based on codeword reliability is proposed. The algorithm reduces the number of codeword iterations with higher reliability by setting a threshold to reduce the algorithm complexity. The simulation results show that the algorithm reduces the complexity of the algorithm while the loss of bit error rate performance is very small. Then, aiming at the poor bit error rate performance of SCMA technology under the condition of low signal-to-noise ratio, a joint coding and decoding simulation link based on soft input and soft output Turbo code and SCMA technology is proposed. The simulation results prove that Turbo codes can speed up the convergence speed of the decoding algorithm. When the SNR is 4 dB, the bit error rate of the joint system has been reduced to below 10e-3, which has obvious advantages compared with the SCMA system without Turbo coding. Therefore, the two methods proposed in this paper can be used for the high-capacity demand of the IoT communication system.
Author	Wang, Huanzhu Yan, Yue Zhao, Hongwei
Author_xml	– sequence: 1 givenname: Hongwei surname: Zhao fullname: Zhao, Hongwei organization: School of Electronics and Information, Northwestern Polytechnical University – sequence: 2 givenname: Huanzhu surname: Wang fullname: Wang, Huanzhu email: 910544662@qq.com organization: School of Electronics and Information, Northwestern Polytechnical University – sequence: 3 givenname: Yue surname: Yan fullname: Yan, Yue organization: School of Electronics and Information, Northwestern Polytechnical University
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Cites_doi	10.1109/JSTSP.2019.2898323 10.1109/LCOMM.2017.2697425 10.1109/COMST.2016.2621116 10.1109/LSP.2016.2544792 10.1109/TCOMM.2015.2511078 10.1109/LCOMM.2020.2981024 10.1109/LCOMM.2018.2792019 10.1109/JSAC.2016.2525418 10.1109/LCOMM.2016.2592912 10.1109/PIMRC.2013.6666209 10.1109/VTCFall.2014.6966170 10.1109/ICC.2015.7248770 10.1109/PIMRC.2013.6666156 10.1109/GLOCOMW.2016.7848941 10.1109/VTCSpring.2013.6692652 10.1109/GLOCOM.2016.7841966
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SubjectTerms	Algorithms Bit error rate Clusters Codes Coding Communications Engineering Communications systems Complexity Computer Communication Networks Decoding Electrical Engineering Engineering Errors Internet of Things IT in Business Multiple access Networks Reliability Satellite constellations Signal to noise ratio Simulation Turbo codes
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Title	SCMA Joint Coding and Decoding Algorithm Based on Code Reliability
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