Nasly Cristina Rodriguez-Idrobo

crossrefFuture Internet2026-06-29

MS-SENet: A Multi-Scale Squeeze–Excitation Network for Deep-Learning-Based Automatic Modulation Classification in Cognitive Radio Systems

Evelio Astaiza Hoyos, Héctor Fabio Bermúdez-Orozco, Nasly Cristina Rodriguez-Idrobo

Automatic modulation classification (AMC) is a critical enabler of cognitive radio (CR) systems, allowing secondary users to identify primary user modulation schemes and adapt transmission parameters in real time. Traditional AMC approaches, based on likelihood functions or hand-…

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crossrefInformation2026-04-25

From Model-Driven to AI-Native Physical Layer Design: Deep Learning Architectures and Optimization Paradigms for Wireless Communications

Evelio Astaiza Hoyos, Héctor Fabio Bermúdez-Orozco, Nasly Cristina Rodriguez-Idrobo

The increasing complexity of next-generation wireless systems challenges the scalability and generalization capabilities of traditional model-driven physical layer (PHY) design, which relies on analytically derived channel models and optimization frameworks. This paper presents a…

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