摘要
基于提出的最优组合业务量预测模型,对下一时刻的业务量进行预测,从而确定蜂窝系统中业务分布情况,据此将蜂窝小区分成'冷点区域'和'热点区域',并提出一种优化的混合信道分配(OHCA)方案,分析并给出了该方案中动静信道比的定量关系。仿真结果证实了该最优组合预测模型较单一预测方法降低了预测误差、提高了预测精度,同时该优化分配算法较固定信道分配(FCA)和动态信道分配(DCA)方案,有较小的呼阻率和较高的频谱利用率,该策略可用来有效处理热点业务问题,有较好的应用前景。
The traffic load is estimated based on the optimally combined traffic load forecasting model for cellular mobile communications system. The results are then used to derive the hot cells and cold cells due to the Quality of Service (QoS) requirement, an Optimized Hybrid Channel Assignment (OHCA) scheme is proposed and the ratio of active channels and static channels is derived. The analysis indicates that the ratio is bounded by the traffic fluctuation and QoS requirement. Simulation results show that the forecasting model can reduce the prediction error and yield higher forecasting precision compared to using only one method, and OHCA is shown to be superior to the current FCA and DCA in terms of call blocking probability and spectrum utilization. The scheme can be used to handle the hot spot case, and is therefore an attractive scheme for practical systems.
出处
《电子与信息学报》
EI
CSCD
北大核心
2005年第2期230-234,共5页
Journal of Electronics & Information Technology
基金
国家高技术863基金国家自然科学基金(60077019)资助课题
关键词
业务量预测
信道分配
蜂窝移动通信系统
Traffic load prediction, Channel assignment, Cellular mobile communications