Energy Consumption Optimization in Mobile Communication Networks

TL;DR

This paper presents a new optimization method for reducing energy consumption in mobile networks by jointly adjusting base station power and activity, outperforming heuristic approaches.

Contribution

It introduces a linear inner approximation algorithm for a complex mixed-integer nonlinear problem, enabling flexible and efficient network energy optimization.

Findings

Significant energy savings demonstrated in simulations

Effective load balancing in high demand scenarios

Outperforms existing heuristic methods

Abstract

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.