Placement, Orientation, and Resource Allocation Optimization for Cell-Free OIRS-aided OWC Network
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866916553291726848 |
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| author | Jalali, Jalal Tabassum, Hina Famaey, Jeroen Saad, Walid Uysal, Murat |
| author_facet | Jalali, Jalal Tabassum, Hina Famaey, Jeroen Saad, Walid Uysal, Murat |
| contents | The emergence of optical intelligent reflecting surface (OIRS) technologies marks a milestone in optical wireless communication (OWC) systems, enabling enhanced control over light propagation in indoor environments. This capability allows for the customization of channel conditions to achieve specific performance goals. This paper presents an enhancement in downlink cell-free OWC networks through the integration of OIRS. The key focus is on fine-tuning crucial parameters, including transmit power, receiver orientations, OIRS elements allocation, and strategic placement. In particular, a multi-objective optimization problem (MOOP) aimed at simultaneously improving the network's spectral efficiency (SE) and energy efficiency (EE) while adhering to the network's quality of service (QoS) constraints is formulated. The problem is solved by employing the $ε$-constraint method to convert the MOOP into a single-objective optimization problem and solving it through successive convex approximation. Simulation results show the significant impact of OIRS on SE and EE, confirming its effectiveness in improving OWC network performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_03378 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Placement, Orientation, and Resource Allocation Optimization for Cell-Free OIRS-aided OWC Network Jalali, Jalal Tabassum, Hina Famaey, Jeroen Saad, Walid Uysal, Murat Signal Processing The emergence of optical intelligent reflecting surface (OIRS) technologies marks a milestone in optical wireless communication (OWC) systems, enabling enhanced control over light propagation in indoor environments. This capability allows for the customization of channel conditions to achieve specific performance goals. This paper presents an enhancement in downlink cell-free OWC networks through the integration of OIRS. The key focus is on fine-tuning crucial parameters, including transmit power, receiver orientations, OIRS elements allocation, and strategic placement. In particular, a multi-objective optimization problem (MOOP) aimed at simultaneously improving the network's spectral efficiency (SE) and energy efficiency (EE) while adhering to the network's quality of service (QoS) constraints is formulated. The problem is solved by employing the $ε$-constraint method to convert the MOOP into a single-objective optimization problem and solving it through successive convex approximation. Simulation results show the significant impact of OIRS on SE and EE, confirming its effectiveness in improving OWC network performance. |
| title | Placement, Orientation, and Resource Allocation Optimization for Cell-Free OIRS-aided OWC Network |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2501.03378 |