Joint Holographic Beamforming and User Scheduling with Individual QoS Constraints
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866917935331672064 |
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| author | Sheemar, Chandan Kumar Thomas, Christo Kurisummoottil Alexandropoulos, George C. Querol, Jorge Chatzinotas, Symeon Saad, Walid |
| author_facet | Sheemar, Chandan Kumar Thomas, Christo Kurisummoottil Alexandropoulos, George C. Querol, Jorge Chatzinotas, Symeon Saad, Walid |
| contents | Reconfigurable holographic surfaces (RHS) have emerged as a transformative material technology, enabling dynamic control of electromagnetic waves to generate versatile holographic beam patterns. This paper addresses the problem of joint hybrid holographic beamforming and user scheduling under per-user minimum quality-of-service (QoS) constraints, a critical challenge in resource-constrained networks. However, such a problem results in mixed-integer non-convex optimization, making it difficult to identify feasible solutions efficiently. To overcome this challenge, we propose a novel iterative optimization framework that jointly solves the problem to maximize the RHS-assisted network sum-rate, efficiently managing holographic beamforming patterns, dynamically scheduling users, and ensuring the minimum QoS requirements for each scheduled user. The proposed framework relies on zero-forcing digital beamforming, gradient-ascent-based holographic beamformer optimization, and a greedy user selection principle. Our extensive simulation results validate the effectiveness of the proposed scheme, demonstrating their superior performance compared to the benchmark algorithms in terms of sum-rate performance, while meeting the minimum per-user QoS constraints |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_17408 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Joint Holographic Beamforming and User Scheduling with Individual QoS Constraints Sheemar, Chandan Kumar Thomas, Christo Kurisummoottil Alexandropoulos, George C. Querol, Jorge Chatzinotas, Symeon Saad, Walid Signal Processing Reconfigurable holographic surfaces (RHS) have emerged as a transformative material technology, enabling dynamic control of electromagnetic waves to generate versatile holographic beam patterns. This paper addresses the problem of joint hybrid holographic beamforming and user scheduling under per-user minimum quality-of-service (QoS) constraints, a critical challenge in resource-constrained networks. However, such a problem results in mixed-integer non-convex optimization, making it difficult to identify feasible solutions efficiently. To overcome this challenge, we propose a novel iterative optimization framework that jointly solves the problem to maximize the RHS-assisted network sum-rate, efficiently managing holographic beamforming patterns, dynamically scheduling users, and ensuring the minimum QoS requirements for each scheduled user. The proposed framework relies on zero-forcing digital beamforming, gradient-ascent-based holographic beamformer optimization, and a greedy user selection principle. Our extensive simulation results validate the effectiveness of the proposed scheme, demonstrating their superior performance compared to the benchmark algorithms in terms of sum-rate performance, while meeting the minimum per-user QoS constraints |
| title | Joint Holographic Beamforming and User Scheduling with Individual QoS Constraints |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2502.17408 |