Resource allocation based on sleep strategy in heterogeneous networks

Abstract

This paper focuses on a multi-objective optimization approach for resource allocation based on sleep strategy, aiming to mitigate the interference and improve the energy efficiency in heterogeneous networks. Then it’s converted into a multi-objective optimization problem. The problem is solved by the nondominated sorting genetic algorithm version II. And the simulations show that the proposed approach is superior to the existing one in the aspect of mitigating the inter-tier interference between dense low power nodes and the macro base station and reducing energy consumption ratio of low power nodes.

Keywords

• heterogeneous networks
• sleep strategy
• multi-objective optimization
• resource allocation
• nondominated sorting genetic algorithm version ii