硬核点过程随机蜂窝网络能量效率优化研究

Energy-efficient of small cells networks with multi-antenna in hard-core point process random cellular networks

基于控制/用户平面分离的异构网络架构是5G中的一种重要组网方式。微基站的密集部署引发了巨大的能量消耗问题从而无法保障用户的高质量服务(quality of service,QoS)。针对此问题,基于具有最小距离约束特性的硬核点过程(hard-core point process,HCPP),研究了控制/用户平面分离网络架构中能量效率的优化方法。通过联合优化网络频谱分配比、基站的密度和基站配备的天线数量,设计了最小化基站平均能耗的优化问题。由于问题是非凸的,进一步为能量效率优化问题提出了低复杂度的迭代算法,当算法迭代直至收敛可得到天线数和网络频谱分配比的最优解,最终实现基站能耗的最小化。仿真结果表明,该算法在控制/用户平面分离网络架构下有效地降低了基站的平均功耗并提升了系统能效。

The heterogeneous network architecture based on control/user(C/U)plane split is an important networking method of the fifth generation(5G)cellular networks.However,the intensive deployment of micro base stations(BSs)has triggered huge energy consumption problem,which cannot guarantee the quality of service(QoS).To solve this problem,this paper presents an energy efficiency optimization method under the control/user plane separation architecture based on the hard-core point process(HCPP)with minimum distance constraint.An average energy consumption of the BS problem is formulated through jointly optimizing spectrum allocation ratio,BS density and number of antennas.Since the problem is non-convex,a low-complexity iterative algorithm is also developed to get the optimal solution.Simulation results demonstrate that the proposed algorithm effectively reduces the average power consumption of BSs and improves the energy efficiency of communication systems under the network architecture.