PERFORMANCE ANALYSIS AND EVALUATION OF MASSIVE MIMO SYSTEM

Muaayed F. AL-RAWI

muaayed@uomustansiriyah.edu.iq
Al-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad (Iraq)

Izz K. ABBOUD


* Al-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad (Iraq)

Nasir A. AL-AWAD


Al-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad (Iraq)

Abstract

This article examines the performance of massive MIMO uplink system over Rician fading channel. The performance is estimated regarding spectral efficiency versus number of base station antennas utilizing three plans of linear detection, maximum-ratio-combining (MRC), zero forcing receiver (ZF), and minimum mean-square error receiver (MMSE). The simulation results reveal that the spectral efficiency increments altogether with expanding the quantity of base station antennas. Additionally, the spectral efficiency with MMSE is superior to that with ZF, and the last is superior to that with MRC. Furthermore, the spectral efficiency diminishes with expanding the fading parameter.


Keywords:

Performance Analysis, MIMO, Rician Fading Channel

Chopra, R., Murthy, C.R., Suraweera, H.A., & Larsson, E.G. (2018). Performance analysis of FDD massive MIMO systems under channel aging. IEEE Transactions on Wireless Communications, 17(2), 1094–1108. http://doi.org/10.1109/TWC.2017.2775629
DOI: https://doi.org/10.1109/TWC.2017.2775629   Google Scholar

Ciuonzo, D., Rossi, P.S., & Dey, S. (2015). Massive MIMO channel aware decision fusion. IEEE Transactions on Signal Processing, 63(3), 604–619. http://doi.org/10.1109/TSP.2014.2376886
DOI: https://doi.org/10.1109/TSP.2014.2376886   Google Scholar

Fatema, N., Hua, G., Xiang, Y., Peng, D., & Natgunanathan, I. (2018). Massive MIMO linear precoding: A survey. IEEE systems journal, 12(4), 3920–3931. http://doi.org/10.1109/JSYST.2017.2776401
DOI: https://doi.org/10.1109/JSYST.2017.2776401   Google Scholar

Lu, L., Li, G., Swindlehurst, A.L., Ashikhmin, A., & Zhang, R. (2014). An overview of massive MIMO: benefits and challenges. IEEE Journal of Selected Topics in Signal Processing, 8(5), 742–758. http://doi.org/10.1109/JSTSP.2014.2317671
DOI: https://doi.org/10.1109/JSTSP.2014.2317671   Google Scholar

Marzetta, T. L. (2010). Noncooperative cellular wireless with unlimited number of base station antennas. IEEE Transactions on Communications, 9(11), 3590–3600. http://doi.org/10.1109/TWC.2010.092810.091092
DOI: https://doi.org/10.1109/TWC.2010.092810.091092   Google Scholar

Ngo, H.Q. (2012). Performance Bounds for Very Large Multiuser MIMO Systems (M.Sc. Thesis). Linköping University, Sweden.
  Google Scholar

Ngo, H.Q., Larsson, E.G., & Marzetta, T.L. (2013). Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Transactions on Communications, 61(4), 1436–1449. http://doi.org/10.1109/TCOMM.2013.020413.110848
DOI: https://doi.org/10.1109/TCOMM.2013.020413.110848   Google Scholar

Pakdeejit, E. (2013). Linear Precoding Performance of Massive MU-MOMO Downlink System (M.Sc. Thesis). Linköping University, Sweden.
  Google Scholar

Yang, H., & Marzetta, T.L. (2013). Performance of conjugate and zero-forcing beam forming in large-scale antenna systems. IEEE Journal on Selected Areas in Communications, 31(2), 172–179. http://doi.org/10.1109/JSAC.2013.130206
DOI: https://doi.org/10.1109/JSAC.2013.130206   Google Scholar

Download


Published
2020-06-30

Cited by

AL-RAWI, M. F. ., ABBOUD, I. K. ., & AL-AWAD, N. A. . (2020). PERFORMANCE ANALYSIS AND EVALUATION OF MASSIVE MIMO SYSTEM. Applied Computer Science, 16(2), 112–119. https://doi.org/10.35784/acs-2020-16

Authors

Muaayed F. AL-RAWI 
muaayed@uomustansiriyah.edu.iq
Al-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad Iraq

Authors

Izz K. ABBOUD 

* Al-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad Iraq

Authors

Nasir A. AL-AWAD 

Al-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad Iraq

Statistics

Abstract views: 63
PDF downloads: 2


License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.


Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.