基于非泊松点过程建模的微基站部署研究

为了提升实际基站部署时的合理性,针对异构蜂窝网络(HetNet)的基站部署,同时考虑了宏基站(mac-ro base station,MBS)与宏基站、宏基站与微基站(pico base station,PBS)部署的相关排斥性,采用蜂窝网络渐进增益分析法推导出两层非泊松网络的覆盖率,并针对网络能效进行分析,推导出系统吞吐量和网络总能效.最后,提出了一种针对微基站发射功率的能效优化算法,通过优化PBS发射功率使网络能效最大化.仿真结果表明,提出的模型覆盖率优于两层HPPP模型,能效优化算法最高可使系统能效提高约30％,在实际基站部署时应调整合适的基站间距和发射功率.

Pico base station deployment based on non-Poisson point process modeling

In order to improve the rationality of the actual base station deployment, for the base station deployment of the heterogeneous cellular network(HetNet), this paper considered the repulsion among MBSs, and the repulsion between MBS and PBS. First, this paper used the approximate SIR analysis method of cellular network to derive the coverage probability of the two-tier non-Poisson network. Next, it analyzed the network energy efficiency and derived the throughput and total network energy efficiency. Finally, it proposed an energy efficiency optimization algorithm for the transmission power, which maximized the network energy efficiency by optimizing the transmission power of the PBS. The simulation results show that, the coverage probability of proposed model is better than that of the two-tier HPPP model, and the energy efficiency optimization algorithm can increase the system energy efficiency by about 30%. In actual deployment, people should set the appropriate value of transmit power for PBSs, and control the distance among base stations.