自适应SINR门限的自动邻区关系生成算法

在长期演进(LTE)系统中,为保证终端通信的正常进行,每个小区需要维护一张邻区列表,该表决定终端切换的范围和方向.传统的相邻小区列表配置是网络工程师根据现场勘测情况进行配置,这样不仅会消耗大量的时间和人力,而且不具有全网统计性.笔者提出一种基于自适应SINR门限的自动邻区关系生成算法.该算法引入了自适应SINR门限以及"投票模型",充分考虑到了LTE网络中的小区类型,并能有效反映实际的网络环境,最终实现动态的相邻小区列表管理.通过仿真评估不同的SINR取值对相邻小区列表的冗余率和准确率的影响,获取了该算法的增益.

Automatic generation algorithm for the neighbor cell list based on the adaptive SINR threshold

In the Long Term Evolution(LTE) system,to ensure the normal execution of communication,each cell must maintain a neighbor cell list which decides the scope and direction of a terminal’s switch.The traditional approach for configuring a neighbor cell list is carried out by a network engineer according to the site survey results,which not only consumes large amounts of time and manpower,but also can not present the statistical characteristic of the whole network.An automatic neighbor cell list generation algorithm based on the adaptive SINR threshold is proposed.The SINR threshold and "vote model" are introduced in this algorithm,which takes into full account the cell type in the LTE network,and effectively reflects the actual network environment.The algorithm ultimately realizes dynamic management of the neighbor cell list.Simulation results show that different SINR thresholds can affect the redundancy ratio and accuracy ratio of a neighbor cell list.