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Effect of Different Modulation Techniques Comparison of Linear MIMO Receivers

by Saifullah Adnan, Naveed Ur Rehman, Mohammad Irshad Zahoor
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 20
Year of Publication: 2015
Authors: Saifullah Adnan, Naveed Ur Rehman, Mohammad Irshad Zahoor
10.5120/21658-5061

Saifullah Adnan, Naveed Ur Rehman, Mohammad Irshad Zahoor . Effect of Different Modulation Techniques Comparison of Linear MIMO Receivers. International Journal of Computer Applications. 121, 20 ( July 2015), 36-40. DOI=10.5120/21658-5061

@article{ 10.5120/21658-5061,
author = { Saifullah Adnan, Naveed Ur Rehman, Mohammad Irshad Zahoor },
title = { Effect of Different Modulation Techniques Comparison of Linear MIMO Receivers },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 20 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number20/21658-5061/ },
doi = { 10.5120/21658-5061 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:08:57.380431+05:30
%A Saifullah Adnan
%A Naveed Ur Rehman
%A Mohammad Irshad Zahoor
%T Effect of Different Modulation Techniques Comparison of Linear MIMO Receivers
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 20
%P 36-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In wireless communication, Multiple-Input Multiple-Output (MIMO) is the most propitious technology that enhances the system capacity and data rate by using multiple antennas at the receiver and at the transmitter. Efficient signal detection at the receiver is complex task in MIMO systems. The computational complexity of equalization based linear detection algorithms such as Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) is less than that of algorithmic schemes. The simulated results presented in this paper are using various MIMO system configurations from 2x2 to 8x8. The results are compared and analyzed on the basis of Bit Error Rate (BER) for M-QAM modulation techniques using MMSE, ZF reduced complexity algorithms under Rayleigh fading channel. Simulations results reveal that the MMSE detection offers better performance over ZF detection however for 64-QAM modulation both linear detection shows same performance.

References
  1. Introduction to MIMO Systems by Rohde & Schwarz Authored on: Sep 7, 2007 by S. Schindler.
  2. G. J. Foschini and M. J Gans, "On limits of wireless communications in a fading environment when using Mutiple antennas,"Wireless Pers. Commun. , vol. 6, no. 3, pp. 311-335, Mar. 1998.
  3. V. Tarokh, N. Seshadri, and A. R. Calderbank, "Space-time codes for high data rate wireless communication: performance criterion and code construction,", IEEE TRANSACTIONSON INFORMATION THEORY, VOL. 44,NO. 2, MARCH 1998.
  4. DIGITAL COMMUNICATIONS Fundamentals and Applications, Second Edition by BERNARDSKLAR, Communications Engineering Services, Tarzana, California and University of California, Los Angeles
  5. Arogyaswami j. Paulraj, dhananjay a. Gore, Rohit u. Nabar, andhelmut bölcskei" An Overview of MIMO Communication. A Key to Gigabit Wireless", proceedings of the ieee, vol. 92, no. 2, february 2004.
  6. Shih-an Yu, Student Member, IEEE, "Comparative Study of MIMO Systems with Linear Detection and Error-correction Code", Columbia University ELEN6909 Modern Digital Modulation Techniques.
  7. E. Biglieri, R. Calderbank, A. Constantinides, A. Goldsmith, A. Paulraj, and H. V. Poor. MIMO Wireless Communications. Cambridge University Press, 2007. .
  8. L. Zheng and D. Tse, "Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels," IEEE Trans. Inf. Theory, vol. 49, pp. 1073-1096, May 2003.
  9. Bhasker Gupta and Davinder S. Saini, "BER Performance Improvement in MIMO Systems Using Various Equalization Techniques", 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing.
  10. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory. Englewood Cliffs (NJ): Prentice Hall, 1993.
Index Terms

Computer Science
Information Sciences

Keywords

MIMO ZF MMSE BER M-QAM Modulation.