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Analyzing the Performance of Multiuser MIMO Uplink System with Detection Techniques
This In this paper, performance analysis of multiuser multiple-input multiple-output (MU-MIMO) in terms of bit error rate (BER) against with detection techniques has been presented. With the increasing demand for wireless communication system that offers users better satisfaction, different detection schemes have been developed and implemented for uplink system. Hence, this paper was basically designed to study the effect of linear minimum mean square error (MMSE-Linear) and MMSE with signal interference cancellation (MMSE-SIC) detectors on BER performance of MU-MIMO system with based station antennas taken as 4 or 8 while the number of user equipment(UE) taken as 2, 4, or 8. Each UE is considered to be equipped with one antenna at time. A model representing the wireless communication of a MU-MIMO system in uplink scenario was developed as MATLAB program. Computer simulation was conducted using the developed model and the analysis of revealed that MMSE-SIC outperformed MMSE-linear. Nevertheless, an obvious observation was the fact with lower number of antenna at BS together with number of receive antenna of UE, the BER performance of both techniques were almost the same.
Keywords
BER, Detection Techniques, MMSE-Linear, MMSE-SIC, MU-MIMO.
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- . A. Alshammari, Optimal capacity and energy efficiency of massive MIMO systems [Doctoral dissertation, University of Denver]. Electronic Thesis and Dissertation. 2017, https://digitalcommons.du.edu/etd/1377
- . J. Andrews,G. W. Choi, & R.W. Health, Overcoming interference in spatial multiplexing mimo cellular networks. IEEE Wireless Communications, 2006, 1-24.
- . D. Borges, P. Montezuma, R. Dinis, & M. Beko. Massive MIMO techniques for 5G and beyond – opportunities and challenges. Electronics, 10(1667), 2021, 1 – 29. https://doi.org/10.3390/electronics10141667
- . S.Y. Cho, J. Kim, W.Y. Yang & G.C. Kang, MIMO-OFDM Wireless Communications with MATLAB, John Wiley & Sons (Asia) Pte Ltd., 2010.
- . B. Clerckx, & C. Oestges MIMO Wireless Networks: Channels Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems. (Cambridge: Academic Press, 2013) 225-237
- . D. Gesbert, M. Shafi, D. Shiu, D.,P.J. & Smith. Theory to Practice: an Overview of Mimo Space-time Coded wireless system. IEEE Journal on Selected Areas in communications, 21(3), 2003, 281-302.
- . C-C Hu, & C-L. Yang, Combined transceiver optimization for uplink multiuser MIMO with limited CSI. International Scholarly Research Network, (20) 11, 2011 doi:10.5402/2011/735695
- . S. A. Khwandah, J.P. Cosmas, P.I. Lazaridis, Z. Zaharis, & I. P. Chochilouros. Massive MIMO systems for 5G communications. Wireless Personal Communications, 12(10), 2021, 2101 – 2115. https://doi.org/10.1007/s11277-021-08550-9
- . C. S. Shreelakshmi, N. S., Shettar, & A. V. Srikantan, Adaptive monitoring technique for MIMO-OFDM systems. GSSS Institute Of Engineering And Technology For Women, Mysuru, (National Level PG Project Symposium On Electronics & Communication, Computer Science, 2016), 1-4.
- .B. C. Agwah, M. I. Aririguzo (2020), MIMO-OFDM system in wireless communication: a survey of peak to average power ratio minimization and research direction, International Journal of Computer Science Engineering, 9 (4) , 2020, 219-234
- . C. G. Onukwugha, D.O. Njoku, J.E. Jibiri, & Chigozie D (2023), Bit Error Rate Analysis of Multiuser Massive MIMO Wireless System Using Linear Precoding Techniques, Int. J. Advanced Networking and Applications, 14(4), 20223, 5517-5522
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