Browsing School of Engineering (SEng.) by Subject "5G"
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A unified spatiotemporal sleep mode approach for energy efficient dense HetNet’s using machine learning
(Makerere University, 2024-11)Future cellular networks are characterized by dense deployment of heterogeneous networks due to the ever increasing data traffic demand. However, the dense deployment of small base stations in a heterogeneous network ...