Tahir Hussain Nazir Hussain

Machine Learning and Quantum Approximate Optimization Pipeline for Dynamic License-Tier Reallocation in Mass Gathering RAN Networks

Tahir Hussain Nazir Hussain, Ghulam Muhayy Ud Din Qureshi

Scenarios such as mass religious gathering events face extreme, short-lived surges in radio access network traffic demand that a fixed license or capacity allocation cannot efficiently absorb. We propose a two-stage pipeline that couples a machine-learning demand forecaster with…Read more