Modelling, Simulation and Capacity Analysis of Spatial Channel Models in MIMO System
Nitika Sahni, Green Hills Engineering College, Kumarhatti, Solan(H.P.); Ravikant Sharma ,Green Hills Engineering College, Kumarhatti, Solan(H.P.); Amita Verma ,Green Hills Engineering College, Kumarhatti, Solan(H.P.)
SCM, AMPS, FDMA, GPRS
Future wireless communication systems will utilize the spatial properties of the wireless channel to improve the spectral efficiency and thus increase capacity. This is realized by deploying multiple antennas at both the transmitter and receiver. Due to the unpredictable nature of the wireless channel, a common approach is to model its effects statistically. A few large world-wide co operations, like the third generation partnership project (3GPP) have developed channel models intended for reference and standardization use. These models are partly based on some bulk parameters that describe the characteristics of the channel over larger areas of several wavelengths. Such parameters include shadow fading, angle spread, and delay spread, etc. In the spatial channel model (SCM) these large-scale parameters are assumed independently between separate links, i.e., channel modelling, propagation between different mobile and base stations. This paper focuses on investigation of MIMO system capacity using the Spatial Channel Model (SCM) and Channel Capacity, Spatial Autocorrelation for different channel environments, proposed by standardization bodies (3GPP-3GPP2) for third generation systems. This SCM offers three environments such as suburban macro-cell, urban macro-cell and urban micro-cell parameters are obtained by using MATLAB 7.12.0.
-
[1] V.H. McDonald, “The Cellular Concept,” Bell System Tech. J, pp. 15-49, Jan. 1979.
[2] G. J. Foschini. Layered space-time architecture for wireless communication in fading environments when using multielement antennas. Bell Labs Techn. J., pages 41–59, autumn 1996.
[3] E. Telatar. “Capacity of multi-antenna Gaussian channels.” European Trans. on Telecomm. ETT, 10(6):585–596, November 1999.
[4] Emiliano Dall’Anese, Antonio Assalini and Silvano Pupolin, On the Effect of Imperfect Channel Estimation upon the Capacity of Correlated MIMO Fading Channels. 2009 IEEE.
[5] 3rd Generation Partnership Project (3GPP), “Spatial channel model for multiple input multiple output (MIMO) simulations (3gpp tr 25.996 version 6.1.0 release 6),” ETSI, Tech. Rep., 2003.
[6] J. Salo, G. Del Galdo, J. Salmi, P. Kyosti, M. Milojevic, D. Laselva, and C. Schneider, “MATLAB implementation of the 3GPP Spatial Channel Model (3GPP TR 25.996),” On-line, Jan. 2005, http://www.tkk.fi/Units/Radio/scm/.
[7] D. Gesbert, M. Shafi, D. shan Shiu, P. J. Smith, and A. Naguib, “From theory to practice: an overview of MIMO space-time coded wireless systems,” IEEE J. Selected Areas Communication, vol. 21, no. 3, pp. 281–302, Apr. 2003.
[8] M. A. Jensen and J. W. Wallace, “A review of antennas and propagation for MIMO wireless systems,” IEEE Trans. Antennas Propagation, vol. 52, no. 11, pp. 2810–2824, Nov. 2004.
[9] D.-S. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, “Fading correlation and its effect on the capacity of multielement antenna systems,” IEEE Trans. Commun., vol. 48, issue 3, pp. 502–513, Mar. 2000.
[10] B. O. Hogstad and M. Patzold, “Capacity studies of MIMO channel models based on the geometrical one-ring scattering model,” in Personal, Indoor and Mobile Radio Communications, 2004. 15th IEEE International Symposium on, vol. 3, no. 5-8, pp. 1613 – 1617, Sep. 2004.
[11] T. Svantesson and A. Ranheim, “Mutual coupling effects on the capacity of multiple antenna systems,” in Proc. IEEE ICASSP01, vol. 4, pp. 2485–2488, May 2001.
[12] Wang Jun, Yu Xiaochuan, Yan Qi, Deng Shaoping “Channel Capacity of MIMO Systems under Correlate Fading Environment”. IEEE, 978-1-4244-3709, 2010
[13] A. Paulraj, R. Nabar, and D. Gore, “Introduction to Space- Time Wireless Communication”. Cambridge, New York, Cambridge University Press, 2005.
[14] E. Biglieri and G. Taricco, “Transmission and Reception with Multiple Antennas: Theoretical Foundations”, ser. Foundations and trends in communications and information theory. Hanover, MA, Now Publishers, 2004.
[15] I. E. Telatar, “Capacity of multi antenna gaussian channels,” Office for Official Pub- lications of the European Transactions on Telecommunications, Vol. 10, No. 6, pp. 585-595, Nov/Dec 1999.
[16] G. J. Foschini, “Layered space time architecture for wireless communication in a fading environment when using multi element antennas,” Bell Labs Technical Journal, pp. 41–59, 1996.
[17] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Comm., vol. 6, no. 3, pp. 311–335, Mar. 1998.
Paper ID: GRDJEV02I050140
Published in: Volume : 2, Issue : 5
Publication Date: 2017-05-01
Page(s): 145 - 149
Published in: Volume : 2, Issue : 5
Publication Date: 2017-05-01
Page(s): 145 - 149