论文部分内容阅读
针对密集蜂窝网络中采用封闭用户集接入控制的微蜂窝对室内宏用户会产生强烈干扰的问题,提出了一种基于负载感知的动态增强型小区间干扰协调方案.该方案使用基于马尔可夫链的预测算法,预估了网络负载变化趋势,避免了由于LTE系统时延引起近乎空白子帧错误配置最终导致系统容量下降的问题;该方案基于网络负载预测结果,动态调整微基站近乎空白子帧配置比例,建立基于动态近乎空白子帧比例配置的最大化系统吞吐量优化模型;仿真结果表明,与传统的增强型小区间干扰协调方案对比,该方案可以在吞吐量性能上获得显著的提高.
Aiming at the problem that the micro-cells with closed user access control in dense cellular networks will have strong interference to indoor macro users, a dynamic enhanced inter-cell interference coordination scheme based on load sensing is proposed. This scheme uses Markov- Chain prediction algorithm to predict the trend of network load change and avoid the problem that the almost blank subframe configuration caused by the LTE system delay eventually leads to the decrease of the system capacity. Based on the network load forecasting result, the solution dynamically adjusts the micro base station near-blank sub- Frame configuration ratio, a maximized system throughput optimization model based on the dynamic near blank subframe ratio configuration is established. The simulation results show that the proposed scheme can significantly improve the throughput performance compared with the traditional enhanced inter-cell interference coordination scheme .