摘要
为满足下一代网络接入业务多样化的需求,提出了一种基于蜂窝网上行的多业务智能接纳(ICAC)方法.该方法通过统计语音业务的业务量,对下一时间段进行业务预测并分配相应的接入资源;对于数据业务,运用模糊逻辑对用户分配带宽资源.仿真结果表明,对于动态变化的业务流,该方法可有效降低语音业务掉话率和呼损率,减少数据业务接入的等待时延.
For satisfying the diverse needs of next-generation networks to access multi-class services,an intelligence call admission control(ICAC) algorithm for uplink multi-class services based on cell systems was proposed.The traffic load is estimated through the traffic statistics and the bandwidth is allocated for the next period by this method;for date services,fuzzy logic is used by this method to allocate bandwidth to date traffic;simulation results show that for dynamical traffic load,the method has better performance in reducing call drop rate and block rate of voice traffic,and decreasing accessing waiting time of date traffic.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2012年第2期32-36,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家杰出青年科学基金项目(60725105)
国家重点基础研究发展计划项目(2009CB320404)
教育部科学技术研究重点项目(107103)
长江学者和创新团队发展计划项目(IRT0852)
国家高技术研究发展计划项目(2007AA01Z288)
高等学校创新引智计划项目(B08038)
国家自然科学基金项目(60902032)
中央高校基本科研业务费专项资金项目(K50511010008)
关键词
无线蜂窝网
接纳控制
多业务
wireless cellular networks
admission control
multi-class services