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Energy-efficient power control in interference-limited spectrum sharing networks based on multi-objective optimization

Spectrum sharing networks deployment is considered a promising solution for meeting the exponential increase in demand of data rate in wireless network. However, excessive communication energy consumption and interference is the critical issue, particularly for spectrum sharing networks. In this paper, we propose an energy-efficient power control scheme for downlink transmission of interference-limited spectrum sharing networks, which is formulated as a multi-objective optimization problem based on pricing function. The pricing function is proposed for controlling the inter-tier interference level. The multi-objective optimization problem, considering the mix-min fairness of smallcells and the inter-tier interference constraint to improve the energy efficiency, is introduced in detail. We deal with this problem by using nondominated sorting genetic algorithm version II (NSGA-II). Simulation results show that the proposed energy-efficient power control scheme achieves remarkably excellent performance, comparable with the existing scheme.