Improving the Generalization Ability of NN Equalizers of VLCs Using Channel Representation
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2024.3519782
Abstract: This research focuses on enhancing the generalization capabilities of neural network (NN)-based equalizers within visible light communication (VLC) systems. NN equalizers often suffer from performance degradation when exposed to varying system operational conditions and external… read more here.
Keywords: improving generalization; generalization ability; representation; channel representation ... See more keywords
Fine-Grained Modulation Classification Using Multi-Scale Radio Transformer With Dual-Channel Representation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3145647
Abstract: Automatic modulation classification (AMC) plays a critical role in both civilian and military applications. In this letter, we propose a multi-scale radio transformer (Ms-RaT) with dual-channel representation for fine-grained modulation classification (FMC). In Ms-RaT, a… read more here.
Keywords: channel representation; modulation classification; multi scale; dual channel ... See more keywords