基于能量效率优化的超密集网络干扰协调方案

An interference coordination algorithm based on the energy efficiency optimization in UDNs

针对超密集网络场景,提出一种基于能量效率优化的干扰协调方案,通过粒子群优化算法联合调整基站活跃状态概率、基站发射功率以及协作用户数量,并在确保边缘用户满意度的前提下,优化系统的能量效率。实验结果证明,提出的方案相比传统联合传输方案可获得10.30%的能量效率增益,相比非协作方案可获得18.73%的能量效率增益。

An interference coordination scheme based on energy efficiency optimization is proposed in the ultra-dense network(UDN)scenario.Particle swarm optimization algorithm is used to jointly adjust the probability of active base stations and the transmitting power of base stations,as well as the number of cooperative users to optimize the energy efficiency of the system on the premise of ensuring the satisfaction of edge users.The simulation results show that the proposed scheme can obtain 10.30%energy efficiency gain compared with the traditional JT scheme,and 18.73%energy efficiency gain compared with the non-JT scheme.