We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Adaptive RLS Beamforming for MIMO-OFDM using VBLAST

by Shankar Gangaju, Sanjivan Satyal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 5
Year of Publication: 2015
Authors: Shankar Gangaju, Sanjivan Satyal
10.5120/ijca2015905458

Shankar Gangaju, Sanjivan Satyal . Adaptive RLS Beamforming for MIMO-OFDM using VBLAST. International Journal of Computer Applications. 124, 5 ( August 2015), 8-14. DOI=10.5120/ijca2015905458

@article{ 10.5120/ijca2015905458,
author = { Shankar Gangaju, Sanjivan Satyal },
title = { Adaptive RLS Beamforming for MIMO-OFDM using VBLAST },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 5 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number5/22097-2015905458/ },
doi = { 10.5120/ijca2015905458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:13:33.253347+05:30
%A Shankar Gangaju
%A Sanjivan Satyal
%T Adaptive RLS Beamforming for MIMO-OFDM using VBLAST
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 5
%P 8-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To overcome a multipath fading environment with low complexity and to achieve wireless broadband multimedia communication systems, orthogonal frequency division multiplexing (OFDM) transmission scheme is used. OFDM is one of the applications of a parallel data transmission scheme, which reduces the influence of multipath fading. The performance of OFDM can be improved further using concept of spatial diversity Multiple Input Multiple Output (MIMO). Similarly, Adaptive Beamforming algorithms improve the SNR by focusing antenna patterns on desired angles of reception or transmission, which actually increases the antenna gain. This paper explains the BER performance of MIMO-OFDM system with and without using adaptive beamforming algorithms and both using V-BLAST as the detection scheme. Different modulations are used in Rayleigh fading environment to observe the BER performance by simulations. Furthermore, paper study also shows that RLS beamforming algorithm shows the better performance and is explain by simulations that include array factor plot as well as mean square error plot.

References
  1. Anubhuti Khare, Manish Saxena and Vijendra Singh Mandloi, “Performance Analysis of V-BLAST Based MIMO-OFDM System with Various Detection Techniques”, International Journal of Engineering and Advanced Technology, Vol.1, Issue-2, December 2011.
  2. Shreedhar A Joshi, Dr.Rukmini T S, Dr. Mahesh H, ”Analysis of V-BLAST Techniques for MIMO Wireless channels with different modulation techniques using Linear and Non Linear Detection”, International Journal of Computer Science, Vol.1,Issue 1, November 2011.
  3. Dhruv Malik and Deepak Batra,” Comparison of Various Detection Algorithms in a MIMO Wireless Communication Receiver”, International Journal of Electronics and Computer Science Engineering, Vol. 1, No. 3, Page 1678-1685
  4. Sanjivan Satyal, “BER Performance of OFDM with GI in SISO and MIMO System” International Journal of Computer Applications (0975-8887) volume 104 – No 5, October 2014
  5. Najoua Achoura and Ridha Bouallegue, “Channel Estimation for MIMO-OFDM beamforming systems”, IJCSNS,Vol.8,No.3,March 2008
  6. Gurpreet Singh, Priyanka Mishra and Rahul Vij, “BER Analysis of V-BLAST MIMO Systems under Various Channel Modulation Techniques in Mobile Radio Channels”, International Conference on Computer Technology and Science, Vol. 47, 2012
  7. Zijian Wang, Wen Chen and Jun Li, “Efficient Beamforming for MIMO Relaying Broadcast channel with Imperfect Channel Estimation”, IEEE Transections on Technology,Vol. 61,No.1,January 2012
  8. Bishwarup Mondal and Robert W. Health, “Performance Analysis of Quantized Beamfoming MIMO Systems”, IEEE Transections on Signal Processing, Vol.54, No.12,December 2006
  9. Syed. Shameem and Dr. Habibullah Khan, “Performance Comparison of LMS, SMI and RLS Adaptive Beamforming Algorithms for Smart Antennas”, International Journal of Computer Science and Telecommunication, Vol.3, Issue 2, April-June 2012.
  10. Ravi Kumar and Rajiv Saxena, “Capacity Analysis of MIMO Spatial Channel Model using Novel Adaptive Semi Blind Estimation Scheme”, Journal of Wireless Networking and Communications Vol.2, Issue 4, Page 66-74, 2012
Index Terms

Computer Science
Information Sciences

Keywords

Beamforming MIMO-OFDM Least Mean Square (LMS) Recursive Least Square (RLS) V-BLAST Zero Forcing Minimum Mean Square Error(MMSE) Rayleigh 16-QAM QPSK