Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology

This research propose analyze, simulate, test, and determine the optimal performance of cited three critical and important factors related with enhancing wireless communication using MIMO technology, for simulations throughout proposed work will employing Rayleigh flat and Additive White Gaussian N...

Full description

Bibliographic Details
Main Authors: Soukaena H. Hashem, Hassan H. Saleh
Format: Article
Language:English
Published: University of Diyala 2015-03-01
Series:Diyala Journal of Engineering Sciences
Subjects:
Online Access:https://djes.info/index.php/djes/article/view/328
_version_ 1818083704089608192
author Soukaena H. Hashem
Hassan H. Saleh
author_facet Soukaena H. Hashem
Hassan H. Saleh
author_sort Soukaena H. Hashem
collection DOAJ
description This research propose analyze, simulate, test, and determine the optimal performance of cited three critical and important factors related with enhancing wireless communication using MIMO technology, for simulations throughout proposed work will employing Rayleigh flat and Additive White Gaussian Noise (AWGN). Orthogonal Frequency Division Multiplexing (OFDM) was the first factor simulated, to evaluate it is performance relating with the direct parameters presents the base bone of OFDM architecture such as OFDM model, channel types, FFT size, constellation and modulations. Secondly a simulation of channel capacity factor was done to assess the performance of capacity relating with SISO, SIMO, MISO, and MIMO. Finally from single antenna to multiantenna techniques was tested, to evaluate Bit Error Rate (BER) performance by using different receive and transmit diversity techniques have been simulated and tested for SIMO and MISO systems. Furthermore, different diversity techniques based on MIMO system have also been simulated and tested. All of these techniques are compared numerically and graphically with the BER performance of SISO system, in addition to their comparison with each other, by using various numbers of antennas. From proposed analysis, simulation, and testing of these three factors and their related parameters many of recommendations are obtained to set parameters of the three factors to build high performance PHY layer with wireless communication using MIMO technique. The implementation proposal was done under Matlab programming language
first_indexed 2024-12-10T19:42:13Z
format Article
id doaj.art-c97d7c60f38d42d3b18ed3ab8d06abd0
institution Directory Open Access Journal
issn 1999-8716
2616-6909
language English
last_indexed 2024-12-10T19:42:13Z
publishDate 2015-03-01
publisher University of Diyala
record_format Article
series Diyala Journal of Engineering Sciences
spelling doaj.art-c97d7c60f38d42d3b18ed3ab8d06abd02022-12-22T01:35:58ZengUniversity of DiyalaDiyala Journal of Engineering Sciences1999-87162616-69092015-03-018110.24237/djes.2015.08104Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO TechnologySoukaena H. Hashem0Hassan H. Saleh1University of TechnologyCollege of Engineering, Diyala University, Iraq This research propose analyze, simulate, test, and determine the optimal performance of cited three critical and important factors related with enhancing wireless communication using MIMO technology, for simulations throughout proposed work will employing Rayleigh flat and Additive White Gaussian Noise (AWGN). Orthogonal Frequency Division Multiplexing (OFDM) was the first factor simulated, to evaluate it is performance relating with the direct parameters presents the base bone of OFDM architecture such as OFDM model, channel types, FFT size, constellation and modulations. Secondly a simulation of channel capacity factor was done to assess the performance of capacity relating with SISO, SIMO, MISO, and MIMO. Finally from single antenna to multiantenna techniques was tested, to evaluate Bit Error Rate (BER) performance by using different receive and transmit diversity techniques have been simulated and tested for SIMO and MISO systems. Furthermore, different diversity techniques based on MIMO system have also been simulated and tested. All of these techniques are compared numerically and graphically with the BER performance of SISO system, in addition to their comparison with each other, by using various numbers of antennas. From proposed analysis, simulation, and testing of these three factors and their related parameters many of recommendations are obtained to set parameters of the three factors to build high performance PHY layer with wireless communication using MIMO technique. The implementation proposal was done under Matlab programming language https://djes.info/index.php/djes/article/view/328MIMOSISOSIMOMISOEGCMMSE
spellingShingle Soukaena H. Hashem
Hassan H. Saleh
Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology
Diyala Journal of Engineering Sciences
MIMO
SISO
SIMO
MISO
EGC
MMSE
title Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology
title_full Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology
title_fullStr Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology
title_full_unstemmed Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology
title_short Critical and Important Factors Related with Enhancing Wireless Communication Using MIMO Technology
title_sort critical and important factors related with enhancing wireless communication using mimo technology
topic MIMO
SISO
SIMO
MISO
EGC
MMSE
url https://djes.info/index.php/djes/article/view/328
work_keys_str_mv AT soukaenahhashem criticalandimportantfactorsrelatedwithenhancingwirelesscommunicationusingmimotechnology
AT hassanhsaleh criticalandimportantfactorsrelatedwithenhancingwirelesscommunicationusingmimotechnology