PERFORMANCE ANALYSIS AND EVALUATION OF MASSIVE MIMO SYSTEM
Muaayed F. AL-RAWI
muaayed@uomustansiriyah.edu.iqAl-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 ChannelReferences
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
Authors
Muaayed F. AL-RAWImuaayed@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-AWADAl-Mustansiriyh University, Faculty of Engineering, Computer Engineering Department, Palestine Street, 14022, Baghdad Iraq
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