Statistical Parameters Estimation of Correlated Millimeter-Wave MIMO Channel

Majlesi Journal of Electrical Engineering

مقاله 6، دوره 17، شماره 2، شهریور 2023، صفحه 47-57   

نوع مقاله: Reseach Article

شناسه دیجیتال (DOI): 10.30486/mjee.2023.1975528.1033

نویسندگان

Maziar Kakavand؛ Mohammadreza Hassannejad Bibalan^* ؛ Mina Baghani

Department of Electrical Engineering, Imam Khomeini International University, Qazvin, Iran

چکیده

This paper proposes a novel approach based on the copula models for estimating Millimeter-Wave channel parameters with Rician fading in a correlated MIMO system. Even though the use of these waves faces numerous challenges, having an accurate estimation of their parameters would be a crucial notion for the improved performance of this channel. Since the considered system in this paper is a MIMO system with nearby transmitter antennas, the components of the received signals are correlated. However, a general model is not available for this kind of correlation. By taking into account the correlation, this model enables a precise Joint Probability Density Function (JPDF) by employing copula models for the received signals in the antennas. We also obtain more precise channel parameter estimates using this density function. The multi-path fading parameters in a MIMO system and the correlation coefficients between the transmitter and receiver antennas are both presented in this paper. Some simulations are employed to assess the validity and reliability of estimating Millimeter-Wave channel parameters in a MIMO system.

کلیدواژه‌ها

MIMO System؛ Parameter Estimation؛ Millimeter-Wave Channel؛ Rician Fading؛ Copula Theory

سایر فایل های مرتبط با مقاله

6-2212-1033.pdf

مراجع

• [1] Pi and F. Khan, “An introduction to millimeter-wave mobile broadband systems,” IEEE Commun. Mag., Vol. 49, No. 6, pp. 101–107, Jun. 2011.
• [2] S. Rappaport et al., “Millimeter wave mobile communications for 5G cellular: It will work!,” IEEE Access, Vol. 1, pp. 335–349, May 2013.
• [3] K. Samimi and T. S. Rappaport, “3-D millimeter-wave statistical channel model for 5G wireless system design,” IEEE Trans. Microw. Theory Techn., Vol. 64, No. 7, pp. 2207–2225, Jul. 2016.
• [4] W. Heath, N. Gonzalez-Prelcic, S. Rangan, W. Roh, and A. Sayeed, “An overview of signal processing techniques for millimeter wave MIMO systems,” IEEE J. Sel. Top. Signal Process., Vol. 10, No. 3, pp. 436–453, Apr. 2016.
• [5] Younis, N. Abuzgaia, R. Mesleh, and H. Haas, “Quadrature spatial modulation for 5G outdoor millimeter wave communications: Capacity analysis,” IEEE Trans. Wireless Commun., Vol. 16, No. 5, pp. 2882–2890, May 2017.
• [6] Mohammad Hossein Gholizadeh, Hamidreza Amindavar, and James A Ritcey. “On the capacity of MIMO correlated Nakagami-m fading channels using copula,” EURASIP Journal on Wireless Communications and Networking 2015, Article number: 138.
• [7] Mohammad Hossein Gholizadeh, Hamidreza Amindavar, and James A Ritcey. “Analytic Nakagami fading parameter estimation in dependent noise channel using copula,” EURASIP Journal on Advances in Signal Processing. 2013, Article number: 129.
• [8] Z Xu, S Sfar, RS Blum, “Analysis of MIMO systems with receive antenna selection in spatially correlated Rayleigh fading channels,”. IEEE Trans VehTechnol. 58, pp. 251–62, 2009.
• [9] M Kang, MS Alouini, “Capacity of correlated MIMO Rayleigh channels,”. IEEE Trans Wireless Commun. 5, pp. 143–55, 2006.
• Eduru and N. Rangaswamy, “Ber analysis of mimo zf receiver with imperfect channel estimation under correlated rician fading channel,” AEU International Journal of Electronics and Communications, Vol. 126, p. 153401, 2020.
• Boukhedimi, A. Kammoun, and M.-S. Alouini, “LMMSE receivers in uplink massive MIMO systems with correlated Rician fading,” IEEE Trans. Commun., Vol. 67, No. 1, pp. 230–243, Jan. 2019.
• Ding, Y. Lian, and Y. Jing, “Performance analysis of full-duplex massive MIMO systems with low-resolution ADCs/DACs over rician fading channels,” IEEE Trans. Veh. Technol., Vol. 69, No. 7, pp. 7389–7403, Jul. 2020.
• RB Nelsen, “An Introduction to Copulas,”. 2nd edition. Springer, New York, 2006.
• S. Rappaport, R. W. Heath Jr., R. C. Daniels, and J. Murdock, “Millimeter-Wave Wireless Communications,”. Prentice-Hall, September 2014.
• Forenza, D. J. Love, and R. W. Heath, Jr., “Simplified spatial correlation models for clustered MIMO channels with different array configurations,” IEEE Trans. Veh. Technol., Vol. 56, No. 4, pp. 1924–1934, Jul. 2007.
• Steinbauer, A. F. Molisch, and E. Bonek, “The double-directional radio channel,” IEEE Antennas Propag. Mag., Vol. 43, No. 4, pp. 51–63, Aug. 2001.
• Y. Mesleh, “Spatial modulation: A spatial multiplexing technique for efficient wireless data transmission,” Ph.D. dissertation, Dept. Electr. Eng., Jacobs Univ. Bremen, Bremen, Germany, Jun. 2007.
• Karttunen, K. Kalliola, T. Laakso, and P. Vainikainen, “Measurement analysis of spatial and temporal correlation in wideband radio channels with adaptive antenna array,” in Proc. IEEE Int. Conf. Universal Pers. Commun. (ICUPC), Vol. 1. Oct. 1998, pp. 671–675.
• A Papoulis, SU Pillai, “Probability, Random Variables and Stochastic Processes,”,4th edition. McGraw-Hill, New York, 2002.
• A Sklar, “Fonctions de repartition a n dimensions et leurs marges,”. Publ Inst Statist Univ Paris. 87, pp. 229–31, 1959.
• RT Clemen, T Reilly, “Correlations and copulas for decision and risk analysis,”, Manage Sci. 45(2), pp. 208–24, 1999.