1.
Safi, Hossein; Osahon, Isaac N. O.; Tavakkolnia, Iman; Haas, Harald
Ethernet-over-OWC Using VCSELs: Transparent Gigabit Links with Low Latency and Robust Alignment Tolerance Miscellaneous
2026.
Abstract | Links | BibTeX | Tags: FOS: Physical sciences, LRDC, optical wireless communication (OWC), Optics (physics.optics), vertical-cavity surface-emitting lasers
@misc{safi_ethernet-over-owc_2026,
title = {Ethernet-over-OWC Using VCSELs: Transparent Gigabit Links with Low Latency and Robust Alignment Tolerance},
author = {Hossein Safi and Isaac N. O. Osahon and Iman Tavakkolnia and Harald Haas},
url = {https://arxiv.org/abs/2601.13878},
doi = {10.48550/ARXIV.2601.13878},
year = {2026},
date = {2026-01-01},
urldate = {2026-06-03},
publisher = {arXiv},
abstract = {We demonstrate a fully bidirectional 1 Gbs Ethernet over OWC link over a 1m free space path using a VCSEL-PIN pair and only commercially available components. The unamplified, transparent system achieves error-free operation, with a latency of less than 25 ns, and a centimetre-scale alignment tolerance.},
keywords = {FOS: Physical sciences, LRDC, optical wireless communication (OWC), Optics (physics.optics), vertical-cavity surface-emitting lasers},
pubstate = {published},
tppubtype = {misc}
}
We demonstrate a fully bidirectional 1 Gbs Ethernet over OWC link over a 1m free space path using a VCSEL-PIN pair and only commercially available components. The unamplified, transparent system achieves error-free operation, with a latency of less than 25 ns, and a centimetre-scale alignment tolerance.
2.
Safi, Hossein; Ihsan, Asim; Eldeeb, Hossien B.; Bechadergue, Bastien; Tavakkolnia, Iman; Haas, Harald
Energy-Efficient Precoding for Dense VCSEL-Based OWC Systems Under a Cooperative Broadcast Model Miscellaneous
2025.
Abstract | Links | BibTeX | Tags: FOS: Physical sciences, LRDC, Optics (physics.optics)
@misc{safi_energy-efficient_2025,
title = {Energy-Efficient Precoding for Dense VCSEL-Based OWC Systems Under a Cooperative Broadcast Model},
author = {Hossein Safi and Asim Ihsan and Hossien B. Eldeeb and Bastien Bechadergue and Iman Tavakkolnia and Harald Haas},
url = {https://arxiv.org/abs/2508.18871},
doi = {10.48550/ARXIV.2508.18871},
year = {2025},
date = {2025-01-01},
urldate = {2026-02-03},
publisher = {arXiv},
abstract = {As 6G and beyond aim for sustainable, high-capacity wireless connectivity, optical wireless communication (OWC) has emerged as a compelling solution.Recent advances in vertical-cavity surface-emitting laser (VCSEL) arrays have significantly enhanced OWC performance, enabling high-speed, low-power data transmission. However, dense VCSEL deployments introduce challenges related to interference and energy efficiency (EE). This paper proposes a scalable precoding framework for EE maximization in fully cooperative VCSEL-based OWC broadcast systems. We formulate a non-convex optimization problem to design the precoding matrix under practical optical constraints while guaranteeing minimum user rates. To solve this, we apply Dinkelbach's method to handle the fractional objective and the inner approximation technique to iteratively convexify and solve the problem. Simulation results show that our approach consistently outperforms regularized zero-forcing in terms of EE, particularly in large-scale deployments, demonstrating its potential for next-generation sustainable dense OWC networks.},
keywords = {FOS: Physical sciences, LRDC, Optics (physics.optics)},
pubstate = {published},
tppubtype = {misc}
}
As 6G and beyond aim for sustainable, high-capacity wireless connectivity, optical wireless communication (OWC) has emerged as a compelling solution.Recent advances in vertical-cavity surface-emitting laser (VCSEL) arrays have significantly enhanced OWC performance, enabling high-speed, low-power data transmission. However, dense VCSEL deployments introduce challenges related to interference and energy efficiency (EE). This paper proposes a scalable precoding framework for EE maximization in fully cooperative VCSEL-based OWC broadcast systems. We formulate a non-convex optimization problem to design the precoding matrix under practical optical constraints while guaranteeing minimum user rates. To solve this, we apply Dinkelbach's method to handle the fractional objective and the inner approximation technique to iteratively convexify and solve the problem. Simulation results show that our approach consistently outperforms regularized zero-forcing in terms of EE, particularly in large-scale deployments, demonstrating its potential for next-generation sustainable dense OWC networks.