基于ACB的接入控制因子优化计算方法

Access Control Factor Optimizing Method Based on ACB

针对随机接入信道的拥塞问题,提出了一种基于Access Class Barring(ACB)的接入控制因子优化计算方法。通过分析混合网络中各终端成功接入基站的概率,获取达到最大成功接入率的控制因子。按照随机接入过程进行仿真,统计成功接入的终端数量,与计算值进行比较。仿真结果表明:对于不同的系统拥塞程度,利用该优化计算方法能获取合适的接入控制因子,使两种类型终端的成功接入数量都达到最大值;根据各时隙中的拥塞终端数量动态地更新ACB因子即可达到解决拥塞问题的目的。

For the congestion problem of random access channel,an access control factor optimization calculation method based on Access Class Barring( ACB) is established. By analyzing the probability that each terminal in the hybrid network successfully accesses to the evolved node B,the control factor that reaches the maximum successful access rate is obtained. According to the random access process to do a simulation,the number of successfully accessed devices is counted and compared with the calculated values. The simulation results show that for different system congestion levels,the optimal algorithm can be used to obtain appropriate access control factors,so that the number of successful accesses devices of these two types reaches the maximum. The purpose of solving the congestion problem can be achieved by dynamically updating the ACB factor according to the number of congestion terminals in each time slot.