Research Of Base Station Energy-saving Deployment And Optimizing In Green Wireless Network

The quickly development of wireless network and the requirement of user lead to the deployment of huge amount of base stations(BSs) which lead to a lot of energy consumption. In order to reduce the energy consumption and guarantee the performance. This paper studies the macro BSs on/off deployment and the micro BSs energy-efficient deployment.Arming at the shortcoming of the past macro BSs deployment. This paper proposes a dynamical energy-efficient deployment scheme for green cellular network base on the Artificial Bee Colony algorithm base on the analyzation of historical load information. With the predictive information of each time zone, this scheme employ artificial bee colony algorithm to search an optimal on/off solution of existing base station for specific time zones in a day. Meanwhile, the solution can be adjusted dynamically to responses traffic variation. The simulation results reveal that the proposed scheme can guarantee the capacity with good energy saving.Base on the further analyzation of the shortcoming of the past micro BSs deployment and the feature of the traffic distribution, this paper proposes an Optimized Micro Cell Deployment Scheme for Green Wireless Network with Dynamic Traffic. It is necessary to deploy micro BSs according to traffic distribution, because micro BSs are set for serving more traffic. The past micro BSs schemes ignored the study of traffic model, so this paper proposes a time-divided and universal traffic model which arming at the traffic distribution feature and can be set according to practical situation. Base on the traffic model, this paper deploys micro BSs to fit the traffic distribution with low redundancy.