首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Predictive schemes for handoff prioritization in cellular networksbased on mobile positioning
【24h】

Predictive schemes for handoff prioritization in cellular networksbased on mobile positioning

机译:基于移动定位的蜂窝网络中切换优先级的预测方案

获取原文
获取原文并翻译 | 示例
           

摘要

We propose and evaluate new schemes for channel reservationnmotivated by the rapidly evolving technology of mobile positioning. Thenschemes, called predictive channel reservation (PCR), work by sendingnreservation requests to neighboring cells based on extrapolating thenmotion of mobile stations (MSs). A number of design enhancements arenincorporated to minimize the effect of false reservations and to improventhe throughput of the cellular system. These enhancements include: (1)nreservation pooling; (2) queuing of reservation requests; (3) hybridnapproach for integrating guard channels (GCs); and (4) using a thresholdndistance (TD) to control the timing of reservation requests. The designnenhancements have produced a set of highly efficient schemes thatnachieve significant reduction in handoff blocking rates while onlynincurring remarkably small increases in the new call blocking rates. ThenPCR approach has also been used to solve the MINBLOCK optimizationnproblem and has given significant improvement over the fractional guardnchannel (FGC) protocol. Detailed performance results of the differentnvariations of the PCR scheme and comparisons with conventional channelnreservation schemes are presented. An analytical Markov model for thenhybrid predictive version of the scheme is developed and itsnapplicability and numerical results are discussed
机译:我们提出并评估了由快速发展的移动定位技术推动的信道预留新方案。然后,称为预测性信道保留(PCR)的方案通过根据移动站(MS)的外推运动向邻近小区发送n保留请求来工作。没有合并许多设计上的改进,以最小化错误预留的影响并提高蜂窝系统的吞吐量。这些增强包括:(1)保留池; (2)预约请求的排队; (3)用于整合保护通道(GC)的混合方法; (4)使用阈值强度TD来控制预约请求的时间。这些设计改进产生了一套高效的方案,可以显着降低越区切换的阻塞率,而仅引起新呼叫阻塞率的显着提高。然后,PCR方法也已用于解决MINBLOCK优化问题,并已对分数保护通道(FGC)协议进行了重大改进。给出了PCR方案差异的详细性能结果,并与常规通道保留方案进行了比较。建立了该方案的混合预测版本的解析马尔可夫模型,并讨论了其适用性和数值结果

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号