PCS(Personal Communication Service)网络中位置管理开销昂贵;为减小开销,研究人员提出了许多种方案。研究了基于LRA(Lazy Replication Algorithm)的位置管理方案,建立了分析模型,以相邻两次呼叫期间实现位置管理所花费的开销为指标,对...PCS(Personal Communication Service)网络中位置管理开销昂贵;为减小开销,研究人员提出了许多种方案。研究了基于LRA(Lazy Replication Algorithm)的位置管理方案,建立了分析模型,以相邻两次呼叫期间实现位置管理所花费的开销为指标,对IS-41和LRA两者的性能进行了比较。研究表明,对于高移动性或远离归属地的用户,LRA显著优于IS-41;另一方面,对于呼叫多发生于两个服务区间或低移动性的用户I,S-41优于LRA;从总体上看,LRA性能优于IS-41。展开更多
In order to achieve dynamical optimization of mobility load balancing,we analyze the conflict between mobility load balancing and mobility robustness optimization caused by the improper operation of handover parameter...In order to achieve dynamical optimization of mobility load balancing,we analyze the conflict between mobility load balancing and mobility robustness optimization caused by the improper operation of handover parameters.To this end,a method of Handover Parameters Adjustment for Conflict Avoidance(HPACA)is proposed.Considering the movement of users,HPCAC can dynamically adjust handover range to optimize the mobility load balancing.The movement of users is an important factor of handover,which has a dramatic impact on system performance.The numerical evaluation results show the proposed approach outperforms the existing method in terms of throughput,call blocking ratio,load balancing index,radio link failure ratio,ping-pong handover ratio and call dropping ratio.展开更多
文摘PCS(Personal Communication Service)网络中位置管理开销昂贵;为减小开销,研究人员提出了许多种方案。研究了基于LRA(Lazy Replication Algorithm)的位置管理方案,建立了分析模型,以相邻两次呼叫期间实现位置管理所花费的开销为指标,对IS-41和LRA两者的性能进行了比较。研究表明,对于高移动性或远离归属地的用户,LRA显著优于IS-41;另一方面,对于呼叫多发生于两个服务区间或低移动性的用户I,S-41优于LRA;从总体上看,LRA性能优于IS-41。
基金supported by the National Natural Science Foundation of China under Grant No.61071118the National Basic Research Program of China(973 Program)under Grant No.2012CB316004+1 种基金Special Fund of Chongqing Key Laboratory(CSTC)Chongqing Municipal Education Commission’s Science and Technology Research Project under Grant No.KJ111506
文摘In order to achieve dynamical optimization of mobility load balancing,we analyze the conflict between mobility load balancing and mobility robustness optimization caused by the improper operation of handover parameters.To this end,a method of Handover Parameters Adjustment for Conflict Avoidance(HPACA)is proposed.Considering the movement of users,HPCAC can dynamically adjust handover range to optimize the mobility load balancing.The movement of users is an important factor of handover,which has a dramatic impact on system performance.The numerical evaluation results show the proposed approach outperforms the existing method in terms of throughput,call blocking ratio,load balancing index,radio link failure ratio,ping-pong handover ratio and call dropping ratio.
