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Reseach Article

Throughput Quantification of MIMO based Correlated Rician fading Channel for a LTE downlink system

Published on December 2011 by Sunil Joshi, Deepak Gupta
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 6
December 2011
Authors: Sunil Joshi, Deepak Gupta
0d327887-d0c5-4fe5-a835-20e345ae5df3

Sunil Joshi, Deepak Gupta . Throughput Quantification of MIMO based Correlated Rician fading Channel for a LTE downlink system. International Conference on Electronics, Information and Communication Engineering. ICEICE, 6 (December 2011), 17-20.

@article{
author = { Sunil Joshi, Deepak Gupta },
title = { Throughput Quantification of MIMO based Correlated Rician fading Channel for a LTE downlink system },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 6 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 17-20 },
numpages = 4,
url = { /specialissues/iceice/number6/4315-iceice048/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Sunil Joshi
%A Deepak Gupta
%T Throughput Quantification of MIMO based Correlated Rician fading Channel for a LTE downlink system
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 6
%P 17-20
%D 2011
%I International Journal of Computer Applications
Abstract

A MIMO system can offer two types of gains i.e. spatial multiplexing (increase data rate) and diversity gain. However, these benefits of MIMO systems depend crucially on the kind of fading the channels undergo and whether the channel state information (CSI) is known at the transmitter. Most of the researches have been on Rayleigh channels. However in real world propagation environment, the fades are not independent, for instance due to insufficient spacing between antenna elements or due to lack of scatterers. It is possible that the line of sight component (LOS) may exist in addition to scattered components. Then the fading will follow the Rician distribution. This paper envisages the capacity benefits of MIMO under a slow changing and correlated Rician fading environment for the LTE downlink 2x2 configuration. The effect of no of multipath on capacity is also investigated. Here 2 Omni directional transmit antennas at the base station and 2 similar receive antennas at the terminal side are taken. In Long Term Evolution (LTE), MIMO technologies have been broadly used to get better downlink peak rate, cell coverage, as well as average cell throughput. To achieve this goals, LTE adopts two major MIMO technologies i.e. Spatial multiplexing (SM) and transmit diversity (TD). Spatial multiplexing allows transmitting different streams of data simultaneously on the same downlink resource block(s) this increases the data rate of the user. In Transmit Diversity a single stream of data is assigned to the different layers and coded using space frequency block coding (SFBC). SFBC achieves robustness through frequency diversity by using different subcarriers for the repeated data on each antenna. This paper will show the effect of strongest multipath component i.e. Recian factor on capacity and diversity. These all finding will pave the path for comparison between the often studied Rayleigh environment (Non LOS) and the Rician environment (LOS).

References
  1. Effect of Antenna Correlation and Rician Fading on Capacity andDiversity Gains of Wireless MIMO Channels Syed M. Tabish Qaseem, and Adel A. Ali
  2. P. J. Smith and M. Shafi. On gaussian approximation to the capacity of wireless MIMO systems. In Proc. of IEEE Communications Letters, 7(10):481-483, October 2003.
  3. S. Catreux, P. F. Driessen, and L. J. Greenstein, "Attainable Throughput of an interference-Limited Multiple-Input Multiple-Output (MIMO) Cellular system." IEEE Trans. Commun., vol. 49 no. 8, Aug 2001, pp. 1307-11
  4. G. J. Foschini and M. J. Gans, “On limits of wireless communication in a fading environment when using multiple antennas,” Wireless Personal Commun., vol. 6, no. 3, pp. 311–335, Mar. 1998.
  5. T. S. Rappaport, Wireless Communications, Prentice Hall, 1996.
  6. A. F. Molisch, “A generic model for MIMO wireless propagation channels,” IEEE Trans. Signal Processing, vol. 52, pp. 61–71, Jan. 2004.
  7. T. C. W. Schenk and A. van Zelst, “Implementation of a MIMO OFDM-Based Wireless LAN System,” IEEE Trans. Signal Processing, vol. 52, no 2, pp. 483-494, Feb. 2004.
  8. I.E. Telatar, "Capacity of multi-antenna gaussian channels," European Transactions on Telecommunications, vol. 10, no. 6, pp. 585-595, 1999.
  9. S. M. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Commun., vol. 16, no. 8, pp. 1451–1458, Oct. 1998.
  10. V. Tarokh, N. Sheshadri, and A. R. Calderbank, “Space–time codes for high data rate wireless communications: Performance criterion and code construction,” IEEE J. Select. Areas Commun., vol. 17, no. 2, pp. 451–460, Mar. 1999.
  11. V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space–time block coding for wireless communications: Performance results,” IEEE J. Select. Areas Commun., vol. 17, no. 3, pp. 451–460, Mar. 1999.
  12. V. Tarokh, H. Jafarkhani, and A. R. Calderbank, “Space–time block codes from orthogonal design,” IEEE Trans. Inform. Theory, vol. 45, no. 5, pp. 1456–1467, July 1999.
  13. Mohinder Jankiraman: Space-Time Codes and MIMO Systems, Artech House , Chapter 2 (2.2.3 & 2.2.5).
  14. Space Diversity in Presence of Discrete Multipath Fading Channel Carmela Cozzo, Member, IEEE, and Brian L. Hughes, Member, IEEE
  15. J. Talvitie, V. Hovinen, M. Hamalainen, and I. Oppermann, “Wideband channel measurement and characterization for wireless local loops,” in Proc. IEEE PIMRC, Oct. 1996, pp. 5–9.
  16. European Cellular Telecommunications System (Phase 2), Eur. Telecommun. Standards Inst., Sophia Antipolis, France, 1994.
  17. T. S. Rappaport, S. Y. Seidel, and K. Takamizawa, “Statistical channel model for factory and open plan building radio communication system design,” IEEE Trans. Commun., vol. 34, pp. 794–807, May 1991.
Index Terms

Computer Science
Information Sciences

Keywords

Spatial Multiplexing Transmit Diversity Space-Time Codes Alamouti Code LTE Channel State Information