CFP last date
20 March 2024
Reseach Article

Simplified Processing for High Efficiency Wireless Communication Employing Multiple Antenna Array

by S. Taruna, Ikpreet Kaur, Bhumika Pahwa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 16
Year of Publication: 2014
Authors: S. Taruna, Ikpreet Kaur, Bhumika Pahwa
10.5120/15294-3965

S. Taruna, Ikpreet Kaur, Bhumika Pahwa . Simplified Processing for High Efficiency Wireless Communication Employing Multiple Antenna Array. International Journal of Computer Applications. 87, 16 ( February 2014), 31-35. DOI=10.5120/15294-3965

@article{ 10.5120/15294-3965,
author = { S. Taruna, Ikpreet Kaur, Bhumika Pahwa },
title = { Simplified Processing for High Efficiency Wireless Communication Employing Multiple Antenna Array },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 16 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number16/15294-3965/ },
doi = { 10.5120/15294-3965 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:06.469539+05:30
%A S. Taruna
%A Ikpreet Kaur
%A Bhumika Pahwa
%T Simplified Processing for High Efficiency Wireless Communication Employing Multiple Antenna Array
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 16
%P 31-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The use of multiple antennas for wireless systems has gained vast interest during the last decade - both in academic world and industry. Multiple antennas can be utilized in order to accomplish a multiplexing gain, a diversity gain, or an antenna gain, thus enhancing the bit rate, the error performance, or the signal-to-noise-plus-interference ratio of wireless systems, respectively. With the huge amount of research in the field of multiple-antenna systems, often called multiple-input multiple-output (MIMO) systems, has evolved rapidly. This paper is intended to provide the complete understanding of the MIMO System. In this work, the performance of MIMO Systems have been analyzed with transmit and receive diversity. This paper also includes the comparison of MIMO technology with SISO, MISO and SIMO on the basis of capacity by simulating different scenarios in MATLAB.

References
  1. J. Aparna "Fundamental Overview and Simulation of Space-Time Coded MIMO System" May 2005
  2. Nur Izzati Binti Mohd Ali " Characterization of Wireless Channel by Using Angle Diversity" May 2011
  3. Sugandha Agarwal, Prabhjyot Kaur, " Characteristics Parameters Evaluation for MIMO Based Communication System", International Conference on Computing Communication System and Informatics Management, July2012
  4. Amitabha Das, Hung Keng Pung, Francis Bu Sung Lee, Lawrence Wai Choong Womg (Eds)," Networking 2008 Ad-hoc and Sensor Networks Wireless Networks, Next Generation Internet", 7thInternational IFIP_TC6 Networking Conference, Singapore, May 2008, Proceedings
  5. www. internetworldstats. com/top20. htm
  6. Jan Mietzner, Robert Schober, Lutz Lampe, Wolfgang H. Gerstacker, Peter A. Hoeher "Multiple-Antenna Techniques for Wireless Communications – A Comprehensive Literature Survey" IEEE Communications Surveys & Tutorials, Vol. 11, no. 2, Second Quarter 2009
  7. L. C. Godara, "Application of antenna arrays to mobile communications– Part I: Performance improvement, feasibility, and system considerations; Part II: Beam-forming and direction-of-arrival considerations," Proc. IEEE, vol. 85, no. 7/8, pp. 1031–1060, 1195–1245, July/Aug. 1997.
  8. E. Telatar, "Capacity of multi-antenna Gaussian channels," Europ. Trans. Telecommun. , vol. 10, no. 6, pp. 585–595, Nov. /Dec. 1999
  9. S. N. Diggavi, N. Al-Dhahir, A. Stamoulis, and A. R. Calderbank, "Great expectations: The value of spatial diversity in wireless networks," Proc. IEEE, vol. 92, no. 2, pp. 219–270, Feb. 2004
Index Terms

Computer Science
Information Sciences

Keywords

MIMO SISO Spatial Multiplexing Spatial Diversity