Robust Precoding for FDD MISO Systems via Minorization Maximization
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866915005664854016 |
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| author | Amor, Donia Ben Joham, Michael Utschick, Wolfgang |
| author_facet | Amor, Donia Ben Joham, Michael Utschick, Wolfgang |
| contents | In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficiency. The presented method accounts for channel estimation errors during the optimization process and is, hence, robust in the case of imperfect channel state information (CSI). Additionally, the design method is adapted such that the need for a line search to satisfy the power constraint is eliminated, that significantly accelerates the precoder computation. Simulation results demonstrate that the proposed robust precoding method is competitive with weighted minimum mean square error (WMMSE) precoding, in particular, under imperfect CSI scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_02615 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Robust Precoding for FDD MISO Systems via Minorization Maximization Amor, Donia Ben Joham, Michael Utschick, Wolfgang Signal Processing In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficiency. The presented method accounts for channel estimation errors during the optimization process and is, hence, robust in the case of imperfect channel state information (CSI). Additionally, the design method is adapted such that the need for a line search to satisfy the power constraint is eliminated, that significantly accelerates the precoder computation. Simulation results demonstrate that the proposed robust precoding method is competitive with weighted minimum mean square error (WMMSE) precoding, in particular, under imperfect CSI scenarios. |
| title | Robust Precoding for FDD MISO Systems via Minorization Maximization |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2411.02615 |