Performance analysis and evaluation of massive MIMO system

• Autorzy: Al-Rawi Muaayed F. , Abbou Izz K. , Al-Awad Nasir A.

Identyfikatory

DOI

10.23743/acs-2020-16

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

performance analysis; MIMO; Rician fading channels

PL

analiza wydajności; MIMO; zanikający kanał Rician

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2020
• Tom: Vol. 16, no 2
• Strony: 112--119
• Opis fizyczny: Bibliogr. 9 poz., fig.

Twórcy

autor

Al-Rawi Muaayed F.

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

autor

Abbou Izz K.

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

autor

Al-Awad Nasir A.

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

Bibliografia

• [1] 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
• [2] 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
• [3] 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
• [4] 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
• [5] 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
• [6] Ngo, H.Q. (2012). Performance Bounds for Very Large Multiuser MIMO Systems (M.Sc. Thesis). Linköping University, Sweden.
• [7] 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
• [8] Pakdeejit, E. (2013). Linear Precoding Performance of Massive MU-MOMO Downlink System (M.Sc. Thesis). Linköping University, Sweden.
• [9] 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

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).