AI-enabled wireless optical communications for 6G and beyond.
WOCLab develops experimental and theoretical research in wireless optical communications, with emphasis on free-space, satellite, aerial and underwater optical links, visible light communications and LiFi systems.
Our work combines optical and photonic communication technologies with channel modelling, controlled channel emulation, laboratory testbeds, FPGA/RFSoC-based real-time prototyping and AI-assisted link adaptation.
The group addresses next-generation optical communication systems for terrestrial, space, aerial, maritime and underwater scenarios, bridging fundamental wireless optical communication concepts with real-world experimental platforms.
Main topics include:
From optical propagation channels to real-time communication systems.
Visible light communications, LiFi systems, free-space optical links and underwater wireless optical communications.
Real-time physical-layer implementation using FPGA, RFSoC, Zynq platforms and hardware/software co-design.
Machine learning for optical channel prediction, turbulence estimation, beam-wander monitoring and adaptive optical link operation.
End-to-end validation using optical channel emulation, atmospheric turbulence chambers and underwater optical testbeds.

WOCLab has strong expertise in the modelling, characterization and performance analysis of wireless optical communication channels affected by turbulence, scattering, absorption, beam wander and pointing errors.
This research line covers both atmospheric free-space optical links and underwater optical wireless communication channels, combining analytical modelling, statistical characterization, numerical simulation and experimental validation.
The group works on statistical channel models, outage and BER performance analysis, aperture averaging, spatial diversity, adaptive optics and controlled channel emulation for challenging optical propagation environments.
Main capabilities include:
A distinctive feature of WOCLab is the development and use of experimental platforms for controlled wireless optical communication research.
Our laboratory infrastructure supports the implementation and validation of end-to-end wireless optical communication systems in realistic laboratory conditions.
Main capabilities include:

WOCLab develops experimental platforms for the emulation and characterization of atmospheric and underwater optical channels.
These testbeds enable repeatable experiments under controlled turbulence, scattering, turbidity and attenuation conditions, which are essential for understanding link degradation and validating communication strategies.
Main topics include:
Optical channel emulation for atmospheric and underwater wireless optical links.
Atmospheric turbulence chamber experiments.
Underwater optical water-tank testbed.
Turbidity, scattering and air-bubble-induced fading experiments.
Dynamic channel characterization under controlled attenuation and scattering conditions.
End-to-end validation of optical wireless communication strategies.

WOCLab develops real-time optical wireless communication prototypes using FPGA, RFSoC and embedded signal-processing platforms.
This research line focuses on the implementation of physical-layer algorithms for optical wireless links, including signal generation, acquisition, synchronization, modulation, demodulation, performance monitoring and hardware-in-the-loop validation.
Main topics include:

WOCLab explores the use of artificial intelligence and machine learning to monitor, predict and adapt optical wireless communication links.
This research line combines physical-layer measurements, channel statistics and system-performance indicators with data-driven techniques for channel-state assessment, turbulence estimation, beam-wander prediction, outage prediction and adaptive optical link control.
Main topics include:
Experimental and computational capabilities supporting WOCLab research.
FPGA-based platforms for real-time implementation of physical-layer and link-layer algorithms.
Advanced testbeds to emulate atmospheric and underwater optical channels with high realism.
AI and machine-learning techniques for self-adaptive and resilient optical links.
WOCLab research contributes to future 6G and beyond communication scenarios where optical wireless technologies can complement radio-frequency systems.
Target applications include: