一种公网集群系统的资源预留和接纳控制策略

An Algorithm of Resource Reservation and Call Admission Control Based on Public Trunking Communications

主要研究了资源预留策略(RR)和接纳控制策略(CAC),提出了一种适合于公网集群环境下基于预测的资源预留和接纳控制策略PRR-CAC。主要目标是减少呼叫掉话率和呼叫阻塞率,同时最大化带宽利用率。通过分析用户移动的历史信息进行数据挖掘,生成该用户的本地配置文件和全局配置文件,通过配置文件来反应用户的真实移动习惯,去预测他们将来的移动路径。通过与FR-CAT2和PR-CAT4的仿真比较,结果表明提出的策略明显优于其他的2种策略。

This paper studies the strategies of resource reservation（RR） and call admission control（CAC）, and proposes a new strategy for the public trunking communications,which combinesthe technologies of RR and CAC, called PRR-CRC.The main purpose of this strategy is to reduce the rate of call dropping and call blocking while maximizing the bandwidth utilization.By analyzing the mobility history of the mobile users, the data mining is implemented to generate the user＇s local and global profiles, which are used to reflect the real habits of the mobile users and predict their future movement path.The simulation comparison of FR-CAT2 and PR-CAT4 is done, and the results show that that the proposed strategy is better than the other two strategies.