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Impact of Various Signal Detection Schemes in Performance Assessment of 5G Compatible LDPC Encoded GPQSM Wireless Communication System

Received: 9 April 2017    Accepted: 18 April 2017    Published: 8 June 2017
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Abstract

In this paper, an effort has been made to assess critically the performance of 5G Compatible LDPC encoded generalized pre-coding aided quadrature spatial modulation (GPQSM) scheme based wireless communication system. With adaptation of ZF pre-coding at the transmitter side under the utilization of 4-QAM digital modulation, data transmission is made through 4 ×6 multi antenna supported MIMO GPQSM system. The system incorporates Minimum mean square error (MMSE), Zero-Forcing (ZF), Zero-Forcing-Successive interference cancellation (ZF-SIC) and optimal Maximum-Likelihood (ML) signal detection schemes. Various LDPC iterative channel decoding algorithms such as Log Domain Sum-Product, Simplified Log-Domain Sum Product and Probability-Domain Sum Product have been used. It is observable from MATLAB based simulations that the LDPC encoded GPQSM system shows quite satisfactory performance under scenario of MMSE signal detection scheme.

Published in American Journal of Electrical and Computer Engineering (Volume 1, Issue 2)
DOI 10.11648/j.ajece.20170102.13
Page(s) 72-80
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Index Modulation, GPQSM, LDPC Channel Coding, ZF, MMSE. ZF-SIC Signal Detectors, Bit Error Rate

References
[1] Wei Xiang, Kan Zheng and Xuemin (Sherman) Shen, 2017: 5G Mobile Communications, Springer International Publishing, Switzerland
[2] Ertugrul Basar, 2016: Index Modulation Techniques for 5G Wireless Networks, IEEE Communications Magazine, pp. 168-175.
[3] Beixiong Zheng; Miaowen Wen; Ertugrul Basar; Fangjiong Chen, 2017: Multiple-Input Multiple-Output OFDM With IndexModulation: Low-Complexity Detector Design, EEE Transactions on Signal Processing, vol. 65, no. 11, pp. 2758 – 2772
[4] R. Mesleh, et al., “Spatial modulation,” IEEE Trans. Veh. Technol., vol. 57, no. 4, pp. 2228-2241, July 2008.
[5] Miaowen Wen, Xiang Cheng and Liuqing Yang, 2017: Index Modulation for 5G Wireless Communications, Springer International Publishing, Switzerland
[6] R. G. Gallager, Low Density Parity-Check Codes. MIT Press, Cambridge, MA, 1963
[7] Arun Avudaunayagam, http://arun10.tripod.com/ldpc/ldpc.htm
[8] Bagawan Sewu Nugroho, https://sites.google.com/site/bsnugroho/ldpc
[9] Yong Soo Cho, Jackson Kim, Won Young Yang, Chung G. Kang, 2010: MIMO-OFDM Wireless Communications with
[10] Lin Baiand Jinho Choi, Low Complexity MIMO Detection, Springer Science and Business Media, LLC, New York, USA, 2012.
Cite This Article
  • APA Style

    Md Tahin Hossain, Indraneel Misra, Joarder Jafor Sadique, Shaikh Enayet Ullah. (2017). Impact of Various Signal Detection Schemes in Performance Assessment of 5G Compatible LDPC Encoded GPQSM Wireless Communication System. American Journal of Electrical and Computer Engineering, 1(2), 72-80. https://doi.org/10.11648/j.ajece.20170102.13

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    ACS Style

    Md Tahin Hossain; Indraneel Misra; Joarder Jafor Sadique; Shaikh Enayet Ullah. Impact of Various Signal Detection Schemes in Performance Assessment of 5G Compatible LDPC Encoded GPQSM Wireless Communication System. Am. J. Electr. Comput. Eng. 2017, 1(2), 72-80. doi: 10.11648/j.ajece.20170102.13

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    AMA Style

    Md Tahin Hossain, Indraneel Misra, Joarder Jafor Sadique, Shaikh Enayet Ullah. Impact of Various Signal Detection Schemes in Performance Assessment of 5G Compatible LDPC Encoded GPQSM Wireless Communication System. Am J Electr Comput Eng. 2017;1(2):72-80. doi: 10.11648/j.ajece.20170102.13

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  • @article{10.11648/j.ajece.20170102.13,
      author = {Md Tahin Hossain and Indraneel Misra and Joarder Jafor Sadique and Shaikh Enayet Ullah},
      title = {Impact of Various Signal Detection Schemes in Performance Assessment of 5G Compatible LDPC Encoded GPQSM Wireless Communication System},
      journal = {American Journal of Electrical and Computer Engineering},
      volume = {1},
      number = {2},
      pages = {72-80},
      doi = {10.11648/j.ajece.20170102.13},
      url = {https://doi.org/10.11648/j.ajece.20170102.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20170102.13},
      abstract = {In this paper, an effort has been made to assess critically the performance of 5G Compatible LDPC encoded generalized pre-coding aided quadrature spatial modulation (GPQSM) scheme based wireless communication system. With adaptation of ZF pre-coding at the transmitter side under the utilization of 4-QAM digital modulation, data transmission is made through 4 ×6 multi antenna supported MIMO GPQSM system. The system incorporates Minimum mean square error (MMSE), Zero-Forcing (ZF), Zero-Forcing-Successive interference cancellation (ZF-SIC) and optimal Maximum-Likelihood (ML) signal detection schemes. Various LDPC iterative channel decoding algorithms such as Log Domain Sum-Product, Simplified Log-Domain Sum Product and Probability-Domain Sum Product have been used. It is observable from MATLAB based simulations that the LDPC encoded GPQSM system shows quite satisfactory performance under scenario of MMSE signal detection scheme.},
     year = {2017}
    }
    

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    AU  - Indraneel Misra
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    AB  - In this paper, an effort has been made to assess critically the performance of 5G Compatible LDPC encoded generalized pre-coding aided quadrature spatial modulation (GPQSM) scheme based wireless communication system. With adaptation of ZF pre-coding at the transmitter side under the utilization of 4-QAM digital modulation, data transmission is made through 4 ×6 multi antenna supported MIMO GPQSM system. The system incorporates Minimum mean square error (MMSE), Zero-Forcing (ZF), Zero-Forcing-Successive interference cancellation (ZF-SIC) and optimal Maximum-Likelihood (ML) signal detection schemes. Various LDPC iterative channel decoding algorithms such as Log Domain Sum-Product, Simplified Log-Domain Sum Product and Probability-Domain Sum Product have been used. It is observable from MATLAB based simulations that the LDPC encoded GPQSM system shows quite satisfactory performance under scenario of MMSE signal detection scheme.
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Author Information
  • Department of Electrical and Electronic Engineering (EEE), Prime University, Dhaka, Bangladesh

  • Department of Computer Science and Engineering, Khwaja Yunus Ali University, Sirajgong, Bangladesh

  • Department of Electronics and Telecommunication Engineering (ETE) Begum Rokeya University, Rangpur, Bangladesh

  • Department of Applied Physics and Electronic Engineering (APEE), University of Rajshahi, Rajshahi, Bangladesh

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