CFP last date
20 May 2024
Reseach Article

MIMO-MMSE Model using Multiple Active Antennas for Rayleigh Fading Channel

by Rashmi Tiwari, Agya Mishra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 9
Year of Publication: 2014
Authors: Rashmi Tiwari, Agya Mishra
10.5120/18102-9171

Rashmi Tiwari, Agya Mishra . MIMO-MMSE Model using Multiple Active Antennas for Rayleigh Fading Channel. International Journal of Computer Applications. 103, 9 ( October 2014), 19-23. DOI=10.5120/18102-9171

@article{ 10.5120/18102-9171,
author = { Rashmi Tiwari, Agya Mishra },
title = { MIMO-MMSE Model using Multiple Active Antennas for Rayleigh Fading Channel },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 9 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number9/18102-9171/ },
doi = { 10.5120/18102-9171 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:06.435368+05:30
%A Rashmi Tiwari
%A Agya Mishra
%T MIMO-MMSE Model using Multiple Active Antennas for Rayleigh Fading Channel
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 9
%P 19-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Spatial Modulation (SM) is a technique that can enhance the capacity of MIMO schemes by exploiting the index of transmit antenna to convey information bits. This paper describes a MIMO transmission scheme that combines SM and spatial multiplexing. In the basic form of SM, only one out of NT available antennas is selected for transmission in any given symbol interval. This paper proposes to use more than one active antenna to transmit several symbols simultaneously. This would increase the spectral efficiency and decreases BER (bit error rate) at the receiver, an MMSE detector is employed to jointly estimate the Transmitted symbols as well as the index of the active transmit antennas. The results show that the detection based on zero forcing is good for noise free channel and is successful in removing ISI, but MMSE is a better choice than ZF in terms of BER characteristics and under Noise performance. In MIMO transmission scheme the uncorrelated fading channel also called statistical model is used for the effect of a propagation environment on a radio signal. Sometimes use of multiple antenna techniques is problem depended but it used because it gives better performance like heavily built urban environment where radio signals are fade and scattered.

References
  1. Rajab M. Legnain, Roshdy H. M. Hafez, Ian D. Marsland "A Novel Spatial Modulation Using MIMO Spatial Multiplexing",IEEE,2013.
  2. GuoMingxi, Jia Chong, ShenYuehong,"Detection Algorithm for Spatial Modulation SystemUnder Unconstrained Channel"IEEE, 2008.
  3. R. Mesleh, and H. Haas, Chang WookAhn, and SangbohYunSpatial Modulation "A New Low Complexity Spectral Efficiency Enhancing Technique"IEEE,2006.
  4. 1Rahul Saxena, 2Prof. RupeshDubey, 3Prof. PoonamLilhare "Transmit-Diversity for Spatial Modulation (SM) and Space-Time Block Codes- AReview"IJSETR, june 2013.
  5. R. Bohnke, D. Wubben, V. Kuhn, and K. Kammeyer, "Reduced complexity MMSE detection for BLAST architectures," in IEEE Global Telecommunications Conference, GLOBECOM'03. , vol. 4, San Francisco, CA, USA, Dec. 2003, pp. 2258-2262
  6. J. Jeganathan, A. Ghrayeb, and L. Szczecinski, "Spatial modulation: Optimal detection and performance analysis," IEEE Communications Letters, vol. 12, no. 8, pp. 545-547, Aug. 2008.
  7. J. Jeganathan, A. Ghrayeb, and L. Szczecinski "Spatial Modulation Optimal detection and performance Analysis" IEEE communication letter vol. 12, no. 8, pp. 545-547, Aug. 2008
  8. R. Mesleh, H. Haas, C. Ahn, and S. Yun, "Spatial Modulation-a new low complexity spectral efficiency Enhancing techniques'' in first international Conference on communication and networking China Com'06. , Bejing, China, Oct. 2006.
  9. S. Loyka and G. Tsoulos, "Estimating MIMO System Performance using the correlation matrix aproach'' IEEE communication letter vol. 6, no. 1, pp. 19-21, January 2002.
  10. R. Böhnke, D. Wübben, V. Kühn, and K. D. Kammeye "Reduced complexity MMSE detection for BLAST architectures," in Proc. IEEE Globecom'03, CA, USA, Dec. 2003
Index Terms

Computer Science
Information Sciences

Keywords

Additive White Gaussian noise Rayleigh fading channel Antenna Combination Binary phase shift keying (BPSK) Bit error rate (BER) Inter-symbol interference (ISI) Minimum mean square error (MMSE) MIMO System Spatial Modulation Spatial Multiplexing Zero Forcing (ZF).