Optimization of Power Consumption and Handover Margin of Sleep/Active Cells in Dynamic H-CRAN

摘要

Heterogeneous cloud radio access network (H-CRAN) is one of the promising architectures that used to meet the requirements of the 5G networks. It consists of several small cells (SBSs) attached with one or more macro cell (MBS). Optimizing the power consumption over the H-CRAN is one of the main challenges when deploying this architecture. Many algorithms are proposed to minimize the power consumption via switching the SBSs on or off under certain conditions. However, the ping-pong is an important issue for network stability. It is affecting the performance of the overall network due to the delay and the power usage during changing the status of the SBS. In this paper, two genetic algorithms are used to reduce both the power consumption and the frequent switching (active/sleep) mode of SBSs by using handover margin (HOM). The proposed algorithms determine the optimum switching decision level and select the suitable HOM. The results show that a significantly improving can be achieved in the power and the stability of the network by using the proposed techniques and algorithms. Also, by using the proposed algorithms, the consumed power can be saved up to 31%.