Communications Engineering
A selective open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of engineering.
A deep learning framework based on structured space model for detecting small objects in complex underwater environments
Underwater target detection plays a crucial role in monitoring the marine ecological environment. In this paper, we propose a deep learning framework combining Structured Space Model(SSM) and CNN, specifically designed for small target detection tasks in complex underwater environments.
Towards industry-ready additive manufacturing: AI-enabled closed-loop control for 3D melt electrowriting
The study “Towards industry-ready additive manufacturing: AI-enabled closed-loop control for 3D melt electrowetting” was published in Communications Engineering. It shows that machine learning can automate MEW operations and create an effective closed-loop control system.
5G NR fiber-wireless converged systems by injection locking multi-optical carrier into directly-modulated lasers
5G NR fiber-wireless converged systems by injection locking multi-optical carrier into directly-modulated lasers (DMLs) are demonstrated. The successful transport of 5G NR signals through fiber-wireless convergence demonstrates the potential to meet next-generation communications.
Bidirectional wavelength-division-multiplexing fibre-free-space optical communications using polarisation multiplexing technique and tunable optical vestigial sideband filter
A bidirectional WDM fibre-FSO communication employing polarisation multiplexing technique and tunable optical VSB filter is proposed and successfully achieved. The capability of bidirectional fibre-FSO communications holds substantial potential for enhancing advanced wired-wireless communications.
5G WDM-based bidirectional OWC system with signal remodulation employing cascaded RSOAs
A 5G WDM-based bidirectional OWC system with cascaded RSOAs to effectively remove the downstream data is demonstrated. The uplink performance is greatly enhanced by using two RSOAs to remove the downstream data. This demonstrated system holds great potential to enhance 5G advanced communications.
Coded Environments: Data-Driven Indoor Localisation with Reconfigurable Intelligent Surfaces
Indoor localisation is crucial in wireless communication for tracking and navigation applications. Reconfigurable Intelligent Surfaces (RIS) offer a promising solution, enhancing accuracy and reliability. Our study explores integrating RIS with machine learning to revolutionise indoor localisation.
