Maximization of minimum rate in MIMO OFDM RIS-assisted broadcast channels

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URI: https://hdl.handle.net/10902/31749
ISBN: 979-8-3503-4452-3
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Autoría
Soleymani, Mohammad; Santamaría Caballero, Luis IgnacioAutoridad Unican; Sezgin, Aydin; Jorswieck, Eduard
Fecha
2023
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© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publicado en
IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Herradura, Costa Rica, 2023, 11-15
Editorial
Institute of Electrical and Electronics Engineers, Inc.
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Palabras clave
MIMO broadcast channels
OFDM systems
Rate optimization
Reconfigurable intelligent surface
Resumen/Abstract
Reconfigurable intelligent surface (RIS) is a promising technology to enhance the spectral efficiency of wireless communication systems. By optimizing the RIS elements, the performance of the overall system can be improved. Yet, in contrast to single-carrier systems, in multi-carrier systems, it is not possible to independently optimize RIS elements at each sub-carrier, which may reduce the benefits of RIS in multi-user orthogonal frequency division multiplexing (OFDM) systems. To this end, we investigate the effectiveness of RIS in multiple-input, multiple-output (MIMO) OFDM broadcast channels (BC). We formulate and solve a joint precoding and RIS optimization problem. We show that RIS can significantly improve the system performance even when the number of RIS elements per sub-band is very low.
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