BSs Switch-off Strategy Of 5G Small Cell Networks Based On HCPP Theory

To satisfy the growing demand of the wireless data traffic, small cell is considered to be one of the most practical and promising technologies in next generation mobile communication systems.,. Deploying large number of small cell base stations has become an unstoppable trend for next generation wireless networks. However many ecological problems caused by the large deployment of the base stations come out with the more attention to the impact of information and communication technology on the environment. The energy consumption of small cells cannot be ignored anymore. Base station switch on/off technology is considered as the most direct and effective way to reduce energy consumption of small cells. Most of the existing literatures are limited on the traditional cellular network models, few of them are based on the actual base station deployment while it is important to model the deployment of the base stations reasonably.First, considering the more actual PPP model for the base station locations, this paper proposes a new strategy which use the distance between two arbitrary base stations as limitation to switch off part of the base stations. Based on the proposed strategy, the reminder base stations can be modeled as a Hard core point process(HCPP) model. The infinite inference caused by two too close base stations can be avoided. And the energy efficiency is improved at the same time.. Moreover, to satisfy demand of 5G wireless networks, the large scale antennas are deployed on each base station in Massive MIMO technology. The downlink performance of small cell networks is analyzed considering the Massive MIMO transmission technology.Then, based on the PPP model and HCPP model, energy efficiency and coverage probability of the two cellular networks are compared. And the improvement of energy efficiency and the loss of coverage probability are studied.Finally, combined the energy efficiency with the coverage probability, the energy efficiency can be maximize with the high coverage probability by choosing the optimal limited distance between the base stations reasonably.