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...
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Format: | Article |
Language: | English |
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University of Diyala
2015-03-01
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Series: | Diyala Journal of Engineering Sciences |
Subjects: | |
Online Access: | https://djes.info/index.php/djes/article/view/328 |
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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
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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 |