Intelligent Reconfigurable surface technique for Multiple Antenna Communication System
The throughput growth of the coming wireless communication schemes requires the deployment of more base stations at a lower power use. We were inspired by the newly recommended intelligent reconfigurable surface technique (IRS) to address this issue. Specifically, this article mainly concerns the j...
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| Format: | Article |
| Language: | English |
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Wasit University
2024-08-01
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| Series: | Wasit Journal of Engineering Sciences |
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| Online Access: | https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/507 |
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| author | Noor Qasim Ismail Hburi Haider Salih Al Ammar |
| author_facet | Noor Qasim Ismail Hburi Haider Salih Al Ammar |
| author_sort | Noor Qasim |
| collection | DOAJ |
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The throughput growth of the coming wireless communication schemes requires the deployment of more base stations at a lower power use. We were inspired by the newly recommended intelligent reconfigurable surface technique (IRS) to address this issue. Specifically, this article mainly concerns the joint pre-coding scheme design challenge concerning improving the output at the base station (or the access point) and IRS stages. An iteration strategy called MMSE-MP has been developed, procedures a minimum mean squared error pre-coder (MMSE) approach for the Digital-BF and the Matching Pursuit (sparse approximation algorithm) for the Analog pre-coding, to cope with this complex challenge. For the reflecting element phase shift matrix the algorithm uses the arrival/departure angles of the LoS rays at the IRS elements. Basically, the joint problem of optimizing the analog and the digital pre-coder was transformed into a one-variable matrix reconstruction, i.e., sparsity-constrained signal-recovery optimization. The simulation outcome confirms that there is nearly 66.5% spectral enhancement if comparing with the classic network without IRS for a certain power scenario of the scheme.
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| format | Article |
| id | doaj-art-9a7a0414325c486e8be44529dc8190f8 |
| institution | DOAJ |
| issn | 2305-6932 2663-1970 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Wasit University |
| record_format | Article |
| series | Wasit Journal of Engineering Sciences |
| spelling | doaj-art-9a7a0414325c486e8be44529dc8190f82025-08-20T03:20:44ZengWasit UniversityWasit Journal of Engineering Sciences2305-69322663-19702024-08-0112310.31185/ejuow.Vol12.Iss3.507Intelligent Reconfigurable surface technique for Multiple Antenna Communication SystemNoor Qasim0Ismail HburiHaider Salih Al Ammarwasit university The throughput growth of the coming wireless communication schemes requires the deployment of more base stations at a lower power use. We were inspired by the newly recommended intelligent reconfigurable surface technique (IRS) to address this issue. Specifically, this article mainly concerns the joint pre-coding scheme design challenge concerning improving the output at the base station (or the access point) and IRS stages. An iteration strategy called MMSE-MP has been developed, procedures a minimum mean squared error pre-coder (MMSE) approach for the Digital-BF and the Matching Pursuit (sparse approximation algorithm) for the Analog pre-coding, to cope with this complex challenge. For the reflecting element phase shift matrix the algorithm uses the arrival/departure angles of the LoS rays at the IRS elements. Basically, the joint problem of optimizing the analog and the digital pre-coder was transformed into a one-variable matrix reconstruction, i.e., sparsity-constrained signal-recovery optimization. The simulation outcome confirms that there is nearly 66.5% spectral enhancement if comparing with the classic network without IRS for a certain power scenario of the scheme. https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/507Keywords: digital to analog pre-coding, intelligent recon-figure able surface (IRS), minimum mean squared error pre-coder (MMSE), Matching pursuit (sparse approximation) method |
| spellingShingle | Noor Qasim Ismail Hburi Haider Salih Al Ammar Intelligent Reconfigurable surface technique for Multiple Antenna Communication System Wasit Journal of Engineering Sciences Keywords: digital to analog pre-coding, intelligent recon-figure able surface (IRS), minimum mean squared error pre-coder (MMSE), Matching pursuit (sparse approximation) method |
| title | Intelligent Reconfigurable surface technique for Multiple Antenna Communication System |
| title_full | Intelligent Reconfigurable surface technique for Multiple Antenna Communication System |
| title_fullStr | Intelligent Reconfigurable surface technique for Multiple Antenna Communication System |
| title_full_unstemmed | Intelligent Reconfigurable surface technique for Multiple Antenna Communication System |
| title_short | Intelligent Reconfigurable surface technique for Multiple Antenna Communication System |
| title_sort | intelligent reconfigurable surface technique for multiple antenna communication system |
| topic | Keywords: digital to analog pre-coding, intelligent recon-figure able surface (IRS), minimum mean squared error pre-coder (MMSE), Matching pursuit (sparse approximation) method |
| url | https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/507 |
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