基于动态CRE偏置选择的干扰抑制策略

随着无线通信用户数量的指数性增长，宏小区用户数量超负荷，边缘用户受邻近微小区的干扰逐步加剧，导致整个小区的通信服务质量降低。为解决这些问题，针对双层无线异构网络场景，结合粒子群优化算法和小区范围扩展技术动态地调整微小区服务区域，寻找出小区范围扩展最优偏置值，缓解宏小区高热点区域负载压力并提高系统用户平均传输速率。仿真结果表明，相比静态小区范围扩展偏置值算法，利用动态小区范围扩展偏置选择的宏小区用户数量下降了近10%，即卸载了部分宏用户使其接入微小区，达到为宏小区减负的效果；微小区边缘用户的信干噪比相应提高了约2 dB，系统用户平均传输速率提高，整个小区的通信服务质量有较大提升。

An interference suppression strategy based on dynamic Cell Range Expansion offset selection

As the number of wireless communication users grows, the macro cells are overloaded, and the edge users are gradually intensified by the interference of the neighboring micro-cell, resulting in a decrease in communication service quality of the entire cell. In order to solve these problems, the Particle Swarm Optimization(PSO) algorithm and Cell Range Expansion(CRE) technology are combined to dynamically adjust the service area of Femto Base Station(FBS) and find out the optimal offset value of CRE, so as to relieve the load pressure of high hotspot area of Macro Base Station(MBS) and improve the overage transmission rate of system users for the two-layer wireless heterogeneous network. The simulation results show that the number of macro cell users, who use the dynamic CRE bias selection, is decreased by nearly 10%, that is, uninstalling some macro users to access the micro-cell, realizing the effect of unloading macro users for the macro cell. And the Signal to Interference plus Noise Ratio(SINR) of the micro-cell edge user is increased by about 2 dB. The average transmission rate of system users is increased, and the communication service quality of the whole community is greatly improved.