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)—...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International journal of communication systems Jg. 38; H. 12
Hauptverfasser:	Balaram, Allam, Victoria Jancee, B., Roy, Manidipa, Kapila, Dhiraj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester Wiley Subscription Services, Inc 01.08.2025
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!