Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems
In cellular wireless communication systems, channel estimation (CE) plays a pivotal role as a crucial technique applied in orthogonal frequency division multiplexing (OFDM) modulation. CE utilizes a variety of methods, including decision-directed channel estimation, pilot-assisted channel estimation...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi-Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/5547634 |
| _version_ | 1797692140944359424 |
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| author | Walaa Hussein Kamil Audah N. K. Noordin Habib Kraiem Aymen Flah Mohd Fadlee Alyani Ismail |
| author_facet | Walaa Hussein Kamil Audah N. K. Noordin Habib Kraiem Aymen Flah Mohd Fadlee Alyani Ismail |
| author_sort | Walaa Hussein |
| collection | DOAJ |
| description | In cellular wireless communication systems, channel estimation (CE) plays a pivotal role as a crucial technique applied in orthogonal frequency division multiplexing (OFDM) modulation. CE utilizes a variety of methods, including decision-directed channel estimation, pilot-assisted channel estimation (PACE), and blind channel estimation. Among these options, PACE is widely favored for its remarkable stability and consistent superior performance. The idea of massive multiple-input multiple-output (MIMO) shows tremendous potential for the future of wireless communications. However, existing massive MIMO systems face challenges with their high computational complexity and intricate spatial structures, preventing efficient utilization of channel and sparsity features in these multiantenna systems. In communication channels, the signal received is often influenced by the characteristics of the channel and noise present at the receiver. To address this issue, an efficient dataset is utilized, employing the least square (LS) algorithm for minimization. OFDM is a commonly and widely used modulation method in communication systems utilized to specifically combat resonance fading in wireless channels. In wireless communication systems employing OFDM-MIMO, frequency selectivity and time-varying attributes due to multipath channels cause Intercarrier Interference (ICI) among symbols. Channel estimation is a vital aspect for mitigating the effects of fading channels. This investigation focuses on the application of a method examined in the study, which involves a block-type pilot symbol-assisted estimation technique for Rayleigh and Rician fading channel models. The research assesses the performance of the least square (LS) channel estimators in fast-fading channel models while employing various symbol mapping techniques focusing on bit error rate, throughput, and mean square error. The results indicate that the LS estimator exhibits excellent performance in Rayleigh and AWGN channels within the pedestrian A (PedA) model for both uplink and downlink scenarios. It outperforms the PedA model without channel estimation. |
| first_indexed | 2024-03-12T02:24:18Z |
| format | Article |
| id | doaj.art-a04dd746309545e38587e1f34c270305 |
| institution | Directory Open Access Journal |
| issn | 2050-7038 |
| language | English |
| last_indexed | 2024-03-12T02:24:18Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi-Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj.art-a04dd746309545e38587e1f34c2703052023-09-06T00:00:00ZengHindawi-WileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/5547634Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM SystemsWalaa Hussein0Kamil Audah1N. K. Noordin2Habib Kraiem3Aymen Flah4Mohd Fadlee5Alyani Ismail6Department of Computer and Communication Systems EngineeringDepartment of Computer and Communication Systems EngineeringDepartment of Computer and Communication Systems EngineeringDepartment of Electrical EngineeringCollege of EngineeringDepartment of Computer and Communication Systems EngineeringDepartment of Computer and Communication Systems EngineeringIn cellular wireless communication systems, channel estimation (CE) plays a pivotal role as a crucial technique applied in orthogonal frequency division multiplexing (OFDM) modulation. CE utilizes a variety of methods, including decision-directed channel estimation, pilot-assisted channel estimation (PACE), and blind channel estimation. Among these options, PACE is widely favored for its remarkable stability and consistent superior performance. The idea of massive multiple-input multiple-output (MIMO) shows tremendous potential for the future of wireless communications. However, existing massive MIMO systems face challenges with their high computational complexity and intricate spatial structures, preventing efficient utilization of channel and sparsity features in these multiantenna systems. In communication channels, the signal received is often influenced by the characteristics of the channel and noise present at the receiver. To address this issue, an efficient dataset is utilized, employing the least square (LS) algorithm for minimization. OFDM is a commonly and widely used modulation method in communication systems utilized to specifically combat resonance fading in wireless channels. In wireless communication systems employing OFDM-MIMO, frequency selectivity and time-varying attributes due to multipath channels cause Intercarrier Interference (ICI) among symbols. Channel estimation is a vital aspect for mitigating the effects of fading channels. This investigation focuses on the application of a method examined in the study, which involves a block-type pilot symbol-assisted estimation technique for Rayleigh and Rician fading channel models. The research assesses the performance of the least square (LS) channel estimators in fast-fading channel models while employing various symbol mapping techniques focusing on bit error rate, throughput, and mean square error. The results indicate that the LS estimator exhibits excellent performance in Rayleigh and AWGN channels within the pedestrian A (PedA) model for both uplink and downlink scenarios. It outperforms the PedA model without channel estimation.http://dx.doi.org/10.1155/2023/5547634 |
| spellingShingle | Walaa Hussein Kamil Audah N. K. Noordin Habib Kraiem Aymen Flah Mohd Fadlee Alyani Ismail Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems International Transactions on Electrical Energy Systems |
| title | Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems |
| title_full | Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems |
| title_fullStr | Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems |
| title_full_unstemmed | Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems |
| title_short | Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems |
| title_sort | least square estimation based different fast fading channel models in mimo ofdm systems |
| url | http://dx.doi.org/10.1155/2023/5547634 |
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