异构网络负载感知的动态增强型干扰协调方案

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.

Load-Ware Based Dynamic Enhanced Inter-Cell Interference Coordination Scheme in Heterogeneous Networks

To eliminate interference from picoevolved Node Bused in closed subscriber group control, a dynamicload-aware-based enhanced inter-cell interference coordination (eICIC) scheme was proposed. First, the scheme is used to estimate changes in network load by forecasting the Markov chain. As a re-sult, the incorrect configuration of almost-blank subframes (ABS) caused by time latency in the, LTE system can be avoided. Such incorrect configuration reduces system capacity. Second, the scheme is used to dynamically reconfigure ABS based on the forecasted Markov chain. An optimized system model based on dynamic reconfiguration of ABS was proposed to maximize system throughput. Simulation dem-onstrates that the proposed scheme did increase overall system throughput significantly compared with tra-ditional eICIC schemes.