  This work addresses the challenge of minimizing the energy consumption of a
wireless communication network by joint optimization of the base station
transmit power and the cell activity. A mixed-integer nonlinear optimization
problem is formulated, for which a computationally tractable linear inner
approximation algorithm is provided. The proposed method offers great
flexibility in optimizing the network operation by considering multiple system
parameters jointly, which mitigates a major drawback of existing
state-of-the-art schemes that are mostly based on heuristics. Simulation
results show that the proposed method exhibits high performance in decreasing
the energy consumption, and provides implicit load balancing in difficult high
demand scenarios.
