Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration
Reconfigurable Intelligent Surfaces (RIS) offer a promising solution to enhance wireless communication performance, particularly for 6G networks. This paper proposes a unified joint optimization framework to enhance spectral efficiency in reconfigurable intelligent surface (RIS)-assisted multiple-in...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11086580/ |
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| author | Mohammed Adil Abbas Aqiel N. Almamori Ahmed Jumaa Lafta Asaad H. Sahar |
| author_facet | Mohammed Adil Abbas Aqiel N. Almamori Ahmed Jumaa Lafta Asaad H. Sahar |
| author_sort | Mohammed Adil Abbas |
| collection | DOAJ |
| description | Reconfigurable Intelligent Surfaces (RIS) offer a promising solution to enhance wireless communication performance, particularly for 6G networks. This paper proposes a unified joint optimization framework to enhance spectral efficiency in reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) systems. Unlike conventional approaches that optimize RIS phase shifts and transmitter precoding separately, our method jointly optimizes both using an iterative strategy. Water-filling is used for power allocation across channel eigenmodes, while manifold optimization ensures efficient phase shift updates under unit-modulus constraints. Extensive simulations under diverse channel conditions reveal a consistent spectral efficiency improvement of up to 39.38%, outperforming across RIS sizes and transmit powers. These results highlight the contribution of combining RIS configuration and transmitter precoding into a coordinated optimization loop, guided by channel eigenmode alignment and practical implementation constraints. The enhanced performance stems from the algorithm’s ability to dynamically coordinate power allocation with channel eigenmode alignment, making it a viable solution for next-generation wireless systems requiring high spectral efficiency. |
| format | Article |
| id | doaj-art-aee4996d385a4a898bc955dd014001e3 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-aee4996d385a4a898bc955dd014001e32025-08-20T03:09:16ZengIEEEIEEE Access2169-35362025-01-011313015913016710.1109/ACCESS.2025.359096411086580Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS ConfigurationMohammed Adil Abbas0https://orcid.org/0000-0002-6204-9016Aqiel N. Almamori1Ahmed Jumaa Lafta2https://orcid.org/0000-0001-9831-7994Asaad H. Sahar3Continuing Education Center, University of Baghdad, Baghdad, IraqElectronics and Communications Engineering Department, University of Baghdad, Baghdad, IraqDepartment of Unmanned Aerial Vehicle (UAV) Engineering, College of Engineering, Al-Nahrain University, Baghdad, IraqElectronics and Communications Engineering Department, University of Baghdad, Baghdad, IraqReconfigurable Intelligent Surfaces (RIS) offer a promising solution to enhance wireless communication performance, particularly for 6G networks. This paper proposes a unified joint optimization framework to enhance spectral efficiency in reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) systems. Unlike conventional approaches that optimize RIS phase shifts and transmitter precoding separately, our method jointly optimizes both using an iterative strategy. Water-filling is used for power allocation across channel eigenmodes, while manifold optimization ensures efficient phase shift updates under unit-modulus constraints. Extensive simulations under diverse channel conditions reveal a consistent spectral efficiency improvement of up to 39.38%, outperforming across RIS sizes and transmit powers. These results highlight the contribution of combining RIS configuration and transmitter precoding into a coordinated optimization loop, guided by channel eigenmode alignment and practical implementation constraints. The enhanced performance stems from the algorithm’s ability to dynamically coordinate power allocation with channel eigenmode alignment, making it a viable solution for next-generation wireless systems requiring high spectral efficiency.https://ieeexplore.ieee.org/document/11086580/RIS5G6GMIMOspectral efficiency |
| spellingShingle | Mohammed Adil Abbas Aqiel N. Almamori Ahmed Jumaa Lafta Asaad H. Sahar Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration IEEE Access RIS 5G 6G MIMO spectral efficiency |
| title | Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration |
| title_full | Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration |
| title_fullStr | Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration |
| title_full_unstemmed | Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration |
| title_short | Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration |
| title_sort | enhanced spectral efficiency in ris assisted mimo systems through joint precoding and ris configuration |
| topic | RIS 5G 6G MIMO spectral efficiency |
| url | https://ieeexplore.ieee.org/document/11086580/ |
| work_keys_str_mv | AT mohammedadilabbas enhancedspectralefficiencyinrisassistedmimosystemsthroughjointprecodingandrisconfiguration AT aqielnalmamori enhancedspectralefficiencyinrisassistedmimosystemsthroughjointprecodingandrisconfiguration AT ahmedjumaalafta enhancedspectralefficiencyinrisassistedmimosystemsthroughjointprecodingandrisconfiguration AT asaadhsahar enhancedspectralefficiencyinrisassistedmimosystemsthroughjointprecodingandrisconfiguration |