Scalable Optimization of Ultra-Dense Heterogeneous Networks Using Stochastic Geometry and Deep Learning Techniques

Ultra-dense networks (UDNs) enable next-generation wireless systems by providing high capacity through aggressive base-station densification. However, dense deployments increase interference and energy consumption, making Quality-of-Service (QoS) aware performance evaluation and optimization challen...

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Principais autores:	Amna Shabbir, Muhammad Hashir Bin Khalid, Hashim Raza Khan, Kamran Arshad, Khaled Assaleh
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	AI
Assuntos:	ultra-dense networks stochastic geometry machine learning deep learning coverage probability energy efficiency
Acesso em linha:	https://www.mdpi.com/2673-2688/7/2/76
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