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Performance Assessment of Mimo Mccdma System on Video Signal Transmission with Implementation of Various Digital Signal Processing Techniques

Received: 27 March 2015     Accepted: 11 April 2015     Published: 21 April 2015
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Abstract

In this paper, we made a comprehensive study to evaluate the performance of MIMO MCCDMA wireless communication system on video signal transmission. The 4-by-4multi antenna supported MCCDMA system incorporates various digital signal processing techniques such as Minimum mean square error (MMSE) , Zero-Forcing (ZF), Ordered successive interference cancellation (OSIC) and Lattice Reduction aided MMSE for transmitted signal detection and two-dimensional nonlinear Median filtering for noise reduction. It is observable from MATLAB based simulations that the system shows quite satisfactory performance under scenario of MMSE signal detection scheme.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 3, Issue 2)
DOI 10.11648/j.wcmc.20150302.12
Page(s) 18-26
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), 2015. Published by Science Publishing Group

Keywords

Mimo, Mccdma, ZF, Mmse, Osic, Lr-Mmse, 2-D Median Filtering, Snr

References
[1] Lajos Hanzo, Yosef (Jos) Akhtman, Li Wang and Ming Jiang, "MIMO-OFDM for LTE, Wi-Fi and WiMAX", John Wiley and Sons Ltd, United Kingdom, 2011.
[2] RuiFa and Pei Xiao,"Jointdata detection and phase recovery for downlink MC-2D-CDMA systems",IEEE Transaction on Communications, vol. 57, no. 9, pp. 2782-2789, 2009
[3] Antonis Phasouliotis and Daniel K.C. So, "Performance Analysis and Comparison of Downlink MIMO MC-CDMA and MIMO OFDMA Systems", IEEE Transactions on Wireless Communications, vol. 8, no.1, pp. 214-225,2009
[4] Lie-Liang Yang,"Multicarrier Communications", John Wiley and Sons Limited, United Kingdom, 2009
[5] Yong Soo Cho, Jackson Kim, Won Young Yang, Chung G. Kang,"MIMO-OFDM Wireless Communications with MATLAB", John Wiley and Sons (Asia) PTE Limited, Singapore, 2010
[6] Lin Baiand Jinho Choi,"Low Complexity MIMO Detection", Springer Science and Business Media, LLC, New York, USA, 2012
[7] Oge Marques,"Practical Image and Video Processing Using MATLAB", John Wiley and Sons, New Jersey, USA, 2011
[8] Goldsmith, Andrea, "Wireless Communications", First Edition, Cambridge University Press, United Kingdom,2005
[9] L. J. Cimini, Jr.," Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing", IEEE Transactions on Communications., vol. COM-33, pp. 665–675,1985
[10] Jerry R. Hampton, "Introduction to MIMO Communications", Cambridge University Press, United Kingdom, 2014.
Cite This Article
  • APA Style

    Md. Sarwar Hosain, Mousumi Haque, Shaikh Enayet Ullah. (2015). Performance Assessment of Mimo Mccdma System on Video Signal Transmission with Implementation of Various Digital Signal Processing Techniques. International Journal of Wireless Communications and Mobile Computing, 3(2), 18-26. https://doi.org/10.11648/j.wcmc.20150302.12

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    ACS Style

    Md. Sarwar Hosain; Mousumi Haque; Shaikh Enayet Ullah. Performance Assessment of Mimo Mccdma System on Video Signal Transmission with Implementation of Various Digital Signal Processing Techniques. Int. J. Wirel. Commun. Mobile Comput. 2015, 3(2), 18-26. doi: 10.11648/j.wcmc.20150302.12

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    AMA Style

    Md. Sarwar Hosain, Mousumi Haque, Shaikh Enayet Ullah. Performance Assessment of Mimo Mccdma System on Video Signal Transmission with Implementation of Various Digital Signal Processing Techniques. Int J Wirel Commun Mobile Comput. 2015;3(2):18-26. doi: 10.11648/j.wcmc.20150302.12

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  • @article{10.11648/j.wcmc.20150302.12,
      author = {Md. Sarwar Hosain and Mousumi Haque and Shaikh Enayet Ullah},
      title = {Performance Assessment of Mimo Mccdma System on Video Signal Transmission with Implementation of Various Digital Signal Processing Techniques},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {3},
      number = {2},
      pages = {18-26},
      doi = {10.11648/j.wcmc.20150302.12},
      url = {https://doi.org/10.11648/j.wcmc.20150302.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20150302.12},
      abstract = {In this paper, we made a comprehensive study to evaluate the performance of MIMO MCCDMA wireless communication system on video signal transmission. The 4-by-4multi antenna supported MCCDMA system incorporates various digital signal processing techniques such as Minimum mean square error (MMSE) , Zero-Forcing (ZF), Ordered successive interference cancellation (OSIC) and Lattice Reduction aided MMSE for transmitted signal detection and two-dimensional nonlinear Median filtering for noise reduction. It is observable from MATLAB based simulations that the system shows quite satisfactory performance under scenario of MMSE signal detection scheme.},
     year = {2015}
    }
    

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    T1  - Performance Assessment of Mimo Mccdma System on Video Signal Transmission with Implementation of Various Digital Signal Processing Techniques
    AU  - Md. Sarwar Hosain
    AU  - Mousumi Haque
    AU  - Shaikh Enayet Ullah
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    DO  - 10.11648/j.wcmc.20150302.12
    T2  - International Journal of Wireless Communications and Mobile Computing
    JF  - International Journal of Wireless Communications and Mobile Computing
    JO  - International Journal of Wireless Communications and Mobile Computing
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    UR  - https://doi.org/10.11648/j.wcmc.20150302.12
    AB  - In this paper, we made a comprehensive study to evaluate the performance of MIMO MCCDMA wireless communication system on video signal transmission. The 4-by-4multi antenna supported MCCDMA system incorporates various digital signal processing techniques such as Minimum mean square error (MMSE) , Zero-Forcing (ZF), Ordered successive interference cancellation (OSIC) and Lattice Reduction aided MMSE for transmitted signal detection and two-dimensional nonlinear Median filtering for noise reduction. It is observable from MATLAB based simulations that the system shows quite satisfactory performance under scenario of MMSE signal detection scheme.
    VL  - 3
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Author Information
  • Department of Information and Communication Engineering (ICE), Pabna University of Science and Technology, Pabna, Bangladesh

  • Department of Information and Communication Engineering (ICE), University of Rajshahi, Rajshahi, Bangladesh

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

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