Identyfikatory
Warianty tytułu
Właściwości systemu komunikacji MIMO z uwzględnieniem efektu zaniku kanału
Języki publikacji
Abstrakty
This paper evaluates the performance of an uplink OFDM-based communication system considering multipath propagation environment where a Massive MIMO approach is exploited. In this context, Zero Forcing detector is used and assessed. Numerical analysis of the mathematical model was conducted on MATLAB. The results presented in this paper include Bit Error rate (BER) and the channel capacity of QPSK/OFDM transmission through a fading channel. Performance results verify the positive effect of Massive MIMO even when reduced complexity detection technique is used.
Analizowano właściwości systemu komunikacyjnego bazującego na OFDM. Uwzględniono wielostrumieniowy rozsył z eksploatacja dużego MIMO. Opracowano model matematyczny I przeprowadzono symulację określającą BER I pojemność kanału dla przesyłu QPSK/OFDM.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
53--55
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- Electrical Engineering Department, College of Engineering, University of Hail, Hail, Kingdom of Saudi Arabia
Bibliografia
- [1] A. Elsanousi and S. Ozturk, “Performance Analysis of OFDM and OFDM-MIMO Systems under Fading Channels,” Eng. Technol. Appl. Sci. Res., vol. 8, no. 4, pp. 3249–3254, 2018.
- [2] F. Rusek et al., “Scaling up MIMO : Opportunities and challenges with very large arrays,” IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40–60, 2013.
- [3] M. Cooper, “The Myth of Spectrum Scarcity,” A Martin Cooper Position Paper, 2010. [Online]. Available: http://dynallc.com/wpcontent/ uploads/2012/12/themythofspectrumscarcity.pdf.
- [4] P. Spalević, V. Stanković, M. Stefanović, S. Panić, and A. Savić, “Minimum mean-squared error multi-user MIMO receive filtering,” Prz. Elektrotechniczny, vol. 87, no. 7, pp. 178–182, 2011.
- [5] A. J. Paulraj, D. A. Gore, R. U. Nabar, and H. Bölcskei, “An overview of MIMO communications - A key to gigabit wireless,” in Proceedings of the IEEE, 2004, vol. 92, no. 2, pp. 198–217.
- [6] B. Pranitha and L. Anjaneyulu, “Performance Evaluation of a MIMO based Underwater Communication System under Fading Conditions,” Eng. Technol. Appl. Sci. Res., vol. 9, no. 6, pp. 4886–4892, 2019.
- [7] G. J. Foschini, “Layered space-time architecture for wireless communication in a fading environment when using multielement antennas,” Bell Labs Tech. J., vol. 1, no. 2, pp. 41–59, 1996.
- [8] J. Mietzner, R. Schober, L. Lampe, W. Gerstacker, and P. Hoeher, “Multiple-antenna techniques for wireless communications - A comprehensive literature survey,” IEEE Commun. Surv. Tutorials, vol. 11, no. 2, pp. 87–105, 2009.
- [9] D. Gesbert, M. Kountouris, R. W. Heath, C. B. Chae, and T. Sälzer, “Shifting the MIMO Paradigm,” IEEE Signal Process. Mag., vol. 24, no. 5, pp. 36–46, 2007.
- [10] H. J., T. B. S., and D. M., “Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?,” IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 160–171, 2013.
- [11] T. L. Marzetta, “Massive MIMO: An Introduction,” Bell Labs Tech. J., vol. 20, pp. 11–22, 2015.
- [12] J. Hoydis, S. Ten Brink, and M. Debbah, “MassiveMIMOin the UL/DL of cellular networks: How many antennas do we need?,” IEEE J. Sel. Areas Commun, vol. 31, no. 2, pp. 160–171, 2013.
- [13] Ezio BIGLIERI, MIMO Wireless Communications. 2007.
- [14] S. Kavanagh, “What is 5G New Radio,” 2020. [Online]. Available: https://5g.co.uk/guides/what-is-5g-new-radio/.
- [15] T. L. Marzetta, “Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas,” vol. 9, no. 11, pp. 3590–3600, 2010.
- [16] J. R. Barry, E. A. Lee, and D. G. Messerschmitt, “Digital Communication,” Springer, 3rd, 2004.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7a719b3f-4ddb-4645-a972-d73f9ebf313f