异构网中具有服务质量约束的高能效微基站部署方法

针对异构密集网络中基站密度增大带来的网络能耗过高问题，提出一种异构网络中高能效的微基站部署方法。首先，考虑微基站候选位置可行性以减轻环境条件的影响；其次，在不同的用户分布状态下对优化目依概率进行加权，增强了对不同用户分布场景的适应性；最后，通过对微基站部署数目、位置和功率配置的联合优化来提升系统能效，并提出了一种高能效的微基站部署算法。仿真表明，与仅优化微基站数量和部署位置的方法相比，所提方法提升能效最高达26%。实验结果表明，相对于不考虑功率的部署方法，所提出的联合优化方法能够有效提升系统能效，同时验证了微基站功率对异构网络能效的影响。

Energy-efficient micro base station deployment method in heterogeneous network with quality of service constraints

Aiming at the problem of high energy consumption caused by the increase of base station density in heterogeneous dense network, an energy-efficient method for micro base station deployment in heterogeneous networks was proposed. Firstly, the feasibility of micro base station positions was considered to mitigate the effects of environmental conditions. Then the optimization target value was weighed under different user distribution probability to enhance adaptability for different user distribution scenarios. Finally, an energy-efficient deployment algorithm for micro base stations was proposed by jointly optimizing the number, deployment position and power configuration of micro base stations. Simulation results show that the proposed method improves energy efficiency by up to 26% compared with the scheme which only optimizes the number and location of micro base stations. The experimental results demonstrate that the combined optimization method can improve the energy efficiency of the system compared with the deployment method without considering the power factor, and verifies the influence of the micro base station power on the energy efficiency of heterogeneous network.