Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints
Abstract This work develops two radio resource allocation algorithms to optimize the energy efficiency of a multiple-input multiple-output (MIMO) communication system where a metasurface is deployed near the transmit antenna array to create a reconfigurable holographic beamforming structure. The des...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-07-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13634-025-01233-8 |
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| _version_ | 1849331640186175488 |
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| author | Ayşegül Ilay Tunalı Robert Kuku Fotock Alessio Zappone Giorgio Taricco Giuseppa Alfano Hakan Ali Çırpan |
| author_facet | Ayşegül Ilay Tunalı Robert Kuku Fotock Alessio Zappone Giorgio Taricco Giuseppa Alfano Hakan Ali Çırpan |
| author_sort | Ayşegül Ilay Tunalı |
| collection | DOAJ |
| description | Abstract This work develops two radio resource allocation algorithms to optimize the energy efficiency of a multiple-input multiple-output (MIMO) communication system where a metasurface is deployed near the transmit antenna array to create a reconfigurable holographic beamforming structure. The design involves jointly optimizing the transmit covariance matrix and the reflection coefficients of the reconfigurable holographic surface (RHS). Two methods are proposed for this joint optimization. In both approaches, the RHS matrix is optimized using sequential fractional programming. However, the transmit covariance matrix is optimized differently: the first method employs fractional programming, while the second method utilizes a search within a standard-compliant codebook. The two algorithms are compared, showing that the codebook-based method achieves performance with only a limited gap compared to the more complex sequential fractional programming algorithm. The analysis considers both a nearly-passive RHS and an active one equipped with analog amplifiers. |
| format | Article |
| id | doaj-art-5b41c412d4f740968fffd6613eb24a72 |
| institution | Kabale University |
| issn | 1687-6180 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj-art-5b41c412d4f740968fffd6613eb24a722025-08-20T03:46:28ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802025-07-012025112510.1186/s13634-025-01233-8Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraintsAyşegül Ilay Tunalı0Robert Kuku Fotock1Alessio Zappone2Giorgio Taricco3Giuseppa Alfano4Hakan Ali Çırpan5Consorzio Nazionale Interuniversitario per le Telecomunicazioni - CNITUniversity of Cassino and Southern LazioConsorzio Nazionale Interuniversitario per le Telecomunicazioni - CNITConsorzio Nazionale Interuniversitario per le Telecomunicazioni - CNITConsorzio Nazionale Interuniversitario per le Telecomunicazioni - CNITIstanbul Technical UniversityAbstract This work develops two radio resource allocation algorithms to optimize the energy efficiency of a multiple-input multiple-output (MIMO) communication system where a metasurface is deployed near the transmit antenna array to create a reconfigurable holographic beamforming structure. The design involves jointly optimizing the transmit covariance matrix and the reflection coefficients of the reconfigurable holographic surface (RHS). Two methods are proposed for this joint optimization. In both approaches, the RHS matrix is optimized using sequential fractional programming. However, the transmit covariance matrix is optimized differently: the first method employs fractional programming, while the second method utilizes a search within a standard-compliant codebook. The two algorithms are compared, showing that the codebook-based method achieves performance with only a limited gap compared to the more complex sequential fractional programming algorithm. The analysis considers both a nearly-passive RHS and an active one equipped with analog amplifiers.https://doi.org/10.1186/s13634-025-01233-8Holographic beamformingReconfigurable holographic metasurfacesReconfigurable intelligent surfacesEnergy efficiencyRadio resource allocation |
| spellingShingle | Ayşegül Ilay Tunalı Robert Kuku Fotock Alessio Zappone Giorgio Taricco Giuseppa Alfano Hakan Ali Çırpan Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints EURASIP Journal on Advances in Signal Processing Holographic beamforming Reconfigurable holographic metasurfaces Reconfigurable intelligent surfaces Energy efficiency Radio resource allocation |
| title | Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints |
| title_full | Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints |
| title_fullStr | Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints |
| title_full_unstemmed | Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints |
| title_short | Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints |
| title_sort | energy efficiency maximization in mimo links aided by metasurfaces with global reflection constraints |
| topic | Holographic beamforming Reconfigurable holographic metasurfaces Reconfigurable intelligent surfaces Energy efficiency Radio resource allocation |
| url | https://doi.org/10.1186/s13634-025-01233-8 |
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