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Analysis the Performance of OFDM-MIMO Channel with Different Equalizers


Affiliations
1 Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
2 Department of Computer Science and Engineering, Islamic University, Kushtia, India
     

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The excellent efficiency, capacity, and dependability of todays wireless networks are concurrent to be achieved, and employing several communication methods antennas is an effective solution that has been extensively used. A communication system where both terminals are equipped with multi-antennas are referred to as MIMO systems, and when combined with OFDM technology are referred to as MIMO-OFDM. MIMO-OFDM has the ability to serve a large number of users with an enormous data transmission speed communication as well as utilizing the bandwidth efficiently. The aim of this simulation task explores three different equalization schemes in the MIMO flat fading channel, frequency-selective OFDM channel, and combined OFDM-MIMO wireless links on the bit error rate (BER) metric. Throughout the simulations, we modulate in 4-QAM (MIMO, OFDM-MIMO) and 16-QAM (OFDM) and observe BER performances for signal-to-noise ratio (SNR) up to 30. We find that given the specifications for OFDM as defined in IEEE 802.11a, precoding, and zero-forcing schemes in MIMO yield similar BER performances, while the MMSE scheme performs slightly worse at higher SNRs. Based on the equalization scheme, we assume perfect channel state information at the transmitter (CSIT) (for precoding) and the receiver (CSIR) (for zero-forcing and MMSE).

Keywords

CSIR, CSIT, Equalization, MIMO, OFDM, OFDM-MIMO.
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  • V. Yadav, L. Kumar, and P. Kumar, “Evolution and development of wireless communication system,” in 2019 International Conference on Computing, Power and Communication Technologies (GUCON), 2019, pp. 53-57.
  • G. Bauch, and A. Alexiou, “MIMO technologies for the wireless future,” in 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008, pp. 1-6, doi: 10.1109/PIMRC.2008.4699969.
  • D. Bala, G. M. Waliullah, Mst. A. Hena, Md. I. Abdullah, and Mohd. A. Hossain, “Study the performance of capacity for SISO, SIMO, MISO and MIMO in wireless communication,” Journal of Network and Information Security, vol. 8, no. 1&2, pp. 1-6, 2020.
  • D. Bala, Md. S. Alam, Md. N. Islam, Md. I. Abdullah, and Mohd. A. Hossain, “Analysis the performance of OFDM using BPSK, QPSK, 64-QAM, 128-QAM & 256-QAM modulation techniques,” Journal of Electrical Engineering, Electronics, Control and Computer Science, vol. 7, no. 24, pp. 31-38, 2021.
  • W. Kabir, “Orthogonal frequency division multiplexing (OFDM),” in 2008 China-Japan Joint Microwave Conference, 2008, pp. 178-184, doi: 10.1109/CJMW.2008.4772401.
  • A. B. Idris, R. F. B. Rahim, and D. B. M. Ali, “The effect of Additive White Gaussian Noise and Multipath Rayleigh Fading on BER statistic in digital cellular network,” in 2006 International RF and Microwave Conference, 2006, pp. 97-100, doi: 10.1109/RFM.2006.331046.
  • V. D. Nguyen, and H.-P. Kuchenbecker, “Intercarrier and intersymbol interference analysis of OFDM systems on time-invariant channels,” in The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, vol. 4, pp. 1482-1487, 2002, doi: 10.1109/PIMRC.2002.1045425.
  • S. Paliwal, “Comparison of linear and non-linear equalizer using the Maltlab,” 2016.
  • A. Bassou, A. Hasni, and A. M. Lakhdar, “UTTCM-based optimization of coded communication system,” American Journal of Computation, Communication and Control, vol. 1, no. 3, pp. 50-55, 2014.
  • L. Hui, and W. W. Bo, “Performance analysis of network MIMO technology,” in 2009 15th Asia-Pacific Conference on Communications, 2009, pp. 234-236, doi: 10.1109/APCC.2009.5375649.
  • A. Goldsmith. Wireless Communications. USA: Cambridge University Press, 2005.
  • T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Li, “OFDM and its wireless applications: A survey,” in IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1673-1694, May 2009, doi: 10.1109/TVT.2008.2004555.
  • G. L. Stuber, J. R. Barry, S. W. McLaughlin, Y. Li, M. A. Ingram, and T. G. Pratt, “Broadband OFDM-MIMO wireless communications,” in Proceedings of the IEEE, vol. 92, no. 2, pp. 271-294, Feb. 2004.
  • D. Bala, G. M. Waliullah, Md. H. Rahman, Md. I. Abdullah, and Mohd. A. Hossain, “Analysis the performance of MIMO-OFDM for various modulation techniques over AWGN, Rayleigh fading and Rician fading channel,” Journal of Network and Information Security, vol. 9, no. 2, pp. 1-8, 2021.
  • S. A. Bhagwatkar, B. P. Patil, and B. S. Satpute, “Performance of MMSE channel equalization for MIMO OFDM system,” in 2016 International Conference on Computing Communication Control and Automation (ICCUBEA), 2016, pp. 1-3, doi: 10.1109/ICCUBEA.2016.7860083.

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  • Analysis the Performance of OFDM-MIMO Channel with Different Equalizers

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Authors

Diponkor Bala
Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
Md. Shamim Hossain
Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
Md. Ibrahim Abdullah
Department of Computer Science and Engineering, Islamic University, Kushtia, India
Mohammad Alamgir Hossain
Department of Computer Science and Engineering, Islamic University, Kushtia, India

Abstract


The excellent efficiency, capacity, and dependability of todays wireless networks are concurrent to be achieved, and employing several communication methods antennas is an effective solution that has been extensively used. A communication system where both terminals are equipped with multi-antennas are referred to as MIMO systems, and when combined with OFDM technology are referred to as MIMO-OFDM. MIMO-OFDM has the ability to serve a large number of users with an enormous data transmission speed communication as well as utilizing the bandwidth efficiently. The aim of this simulation task explores three different equalization schemes in the MIMO flat fading channel, frequency-selective OFDM channel, and combined OFDM-MIMO wireless links on the bit error rate (BER) metric. Throughout the simulations, we modulate in 4-QAM (MIMO, OFDM-MIMO) and 16-QAM (OFDM) and observe BER performances for signal-to-noise ratio (SNR) up to 30. We find that given the specifications for OFDM as defined in IEEE 802.11a, precoding, and zero-forcing schemes in MIMO yield similar BER performances, while the MMSE scheme performs slightly worse at higher SNRs. Based on the equalization scheme, we assume perfect channel state information at the transmitter (CSIT) (for precoding) and the receiver (CSIR) (for zero-forcing and MMSE).

Keywords


CSIR, CSIT, Equalization, MIMO, OFDM, OFDM-MIMO.

References