On one hand, we consider optical fiber communications (OFC) for which we are addressing solutions to increase their capacity while decreasing the energy consumption per bit, by applying automatic learning algorithms, exploiting spectral and spatial parallel channels, and using novel integrated optical components. Automatic learning and artificial intelligence solutions are leveraged to enhance the design of optical transmission systems and to allow them to operate in the best possible conditions. Enhanced monitoring schemes of the optical telecom infrastructure are required to reduce allocated power margins by maintaining an up-to-date channel state information. Some other topics relating to OFC are also studied including: tailoring modulations and coding for the optical channel, mitigation of non-linear effects as well as the employment of the telecom fiber infrastructure to sense the surrounding environment.
On the other hand, optical wireless communications (OWC) has witnessed a revival recently among researchers in both academia and industry. The motivation behind the interest in OWC include relatively simple deployment, unlicensed bandwidth and high data rate. Practical outdoor applications include free-space optical communication (FSO) for backhaul links between base stations, for ground-to-satellite/satellite-to-ground and inter-satellite communication. Indoor applications include visible-light communication to establish Light-Fidelity (LiFi) access and positioning, and enable combining illumination and communication functionalities. We are interested in studying theoretical and practical perspectives of OWC and demonstrate the capability of this technology to achieve high data rates.