A Novel Approach for Accurate Signal Classification and Robust Performance Using an Enhanced Modulation Identification in MIMO Systems via Diffusion Kernel Attention Network With Green Anaconda Optimization

ABSTRACT Accurate signal classification and modulation identification are pivotal challenges in multiple‐input multiple‐output (MIMO) systems, especially under dynamic and noisy conditions. This paper proposes a novel framework—diffusion kernel attention graph convolutional neural network (DKAGCNN)—...

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Vydáno v:	International journal of communication systems Ročník 38; číslo 12
Hlavní autoři:	Balaram, Allam, Victoria Jancee, B., Roy, Manidipa, Kapila, Dhiraj
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester Wiley Subscription Services, Inc 01.08.2025
Témata:	Artificial neural networks Communications systems Complexity diffusion kernel attention network Graph neural networks green anaconda optimization MIMO communication Modulation modulation identification Neural networks Optimization Parameter robustness Performance enhancement Signal classification sparse graph convolutional neural network
ISSN:	1074-5351, 1099-1131
On-line přístup:	Získat plný text
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