Holographic Multi-User Multi-Stream Beamforming Maintaining Rate-Fairness
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arXiv
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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| author | Zhu, W. Tuan, H. D. Dutkiewicz, E. Poor, H. V. Hanzo, L. |
| author_facet | Zhu, W. Tuan, H. D. Dutkiewicz, E. Poor, H. V. Hanzo, L. |
| contents | We present the first investigation into the transmission of multi-stream information from a base station equipped with reconfigurable holographic surfaces (RHS) to multiple users with the aid of multi-antenna arrays. Building upon this, we propose the joint design of RHS and baseband beamformers that enables multi-stream delivery at fair rates across all users. Specifically, we first introduce a max-min rate optimization approach, which aims for maximizing the minimum rate for all users through iterative solutions of quadratic problems. To reduce complexity, we then propose a surrogate-based optimization approach that offers a low-complexity design alternative relying on closed-form updates. Our simulations show that the surrogate-based approach achieves nearly the same minimum rate as max-min optimization, while delivering sum-rates comparable to those of sum-rate maximization, overcoming the rate-fairness deficiency typical of the latter. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_16612 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Holographic Multi-User Multi-Stream Beamforming Maintaining Rate-Fairness Zhu, W. Tuan, H. D. Dutkiewicz, E. Poor, H. V. Hanzo, L. Information Theory We present the first investigation into the transmission of multi-stream information from a base station equipped with reconfigurable holographic surfaces (RHS) to multiple users with the aid of multi-antenna arrays. Building upon this, we propose the joint design of RHS and baseband beamformers that enables multi-stream delivery at fair rates across all users. Specifically, we first introduce a max-min rate optimization approach, which aims for maximizing the minimum rate for all users through iterative solutions of quadratic problems. To reduce complexity, we then propose a surrogate-based optimization approach that offers a low-complexity design alternative relying on closed-form updates. Our simulations show that the surrogate-based approach achieves nearly the same minimum rate as max-min optimization, while delivering sum-rates comparable to those of sum-rate maximization, overcoming the rate-fairness deficiency typical of the latter. |
| title | Holographic Multi-User Multi-Stream Beamforming Maintaining Rate-Fairness |
| topic | Information Theory |
| url | https://arxiv.org/abs/2509.16612 |