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Energy Efficient Load Balancing in Multi-band Cellular Networks via Reinforcement Learning
This thesis investigates energy-efficient load balancing in homogeneous multi-band cellular networks through the joint design of user association (UA) and transmit power allocation (PA). The original mixed-integer nonlinear formulation is decomposed into two coupled yet tractable subproblems: a UA s...
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AUC Knowledge Fountain
2026
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