QoS-Aware Distributed Cell Sleep Algorithm for OFDMA Small Cell Networks

Abstract

This paper aims at improving the energy efficiency of small cell networks via cell sleep mechanism. The traditional power consumption minimization problem with quality of service (QoS) constraints is reestablished from the distributed small cell eNodeB (SeNB) sleep algorithm. The proposed algorithm consists of a Rate- based Access and Scheduling (RAS) algorithm and a distributed Diluted Load based Sleep (DLS) algorithm. In RAS algorithm, a many-to-many matching model is adopted to deal with the UE access and resource allocation problem. In DLS algorithm, a metric called Diluted Load is introduced to determine the sleep SeNB and solve the sleep optimization problem in a distributed way. By alternately conducting RAS and DLS algorithms, the energy efficiency of small cells keeps improving. Simulation results show that our algorithm can achieve lower power consumption as well as lower UE blocking ratio compared with existing sleep algorithms.