Impact of the Busy-Line Effect on the Interservice Time Distribution and Modeling of Portable Movements in PCS Networks
Impact of the Busy-Line Effect on the Interservice Time Distribution and Modeling of Portable Movements in PCS Networks
复制标题
忙线效应对 PCS 网络中的服务间时间分布和便携式移动建模的影响
DOI：
10.1109/tvt.2009.2032554
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发表时间：
2010-02
影响因子：
6.8
通讯作者：
Yi Pan
中科院分区：
文献类型：
--
作者：
Xian Wang;Pingzhi Fan;Yi Pan
服务间时间分布是个人通信服务（PCS）网络中位置管理建模和成本分析的重要参数，服务间时间是指移动台服务的呼叫结束和后续呼叫开始之间的时间间隔。由于忙线效应，服务间隔时间不同于到达间隔时间。然而，在文献中，大多数位置管理的成本分析都是在忽略繁忙线路效应的情况下进行的，即，通过将服务间时间与到达间隔时间相识别，因为到目前为止，还没有考虑到忙线效应的服务间时间分布的分析结果。在本文中，我们开发了一个分析模型，探讨繁忙线的服务时间分布的影响。推导了服务间隔时间的解析表达式。数值研究表明，到达间隔时间和服务间隔时间之间存在很大的差异。基于分析结果的服务间隔时间，在PCS网络中的便携式移动建模的忙线效应的影响进行了进一步评估。在服务间隔时间内的小区边界交叉点的数量的分布的分析结果。分析结果和数值算例均表明，忙线效应对服务间隔时间内小区边界穿越数的分布有影响。因此，不考虑线路效应的区位管理成本分析可能会导致不可靠的结果。本文提出的结果为PCS网络中的位置管理和便携式移动建模铺平了道路。
The distribution of the interservice time, which is the interval between the end of a call served and the start of the succedent call served by a portable, is a crucial parameter for modeling and cost analysis for location management in personal communication service (PCS) networks. The interservice time differs from the interarrival time due to the busy-line effect. However, in the literature, most of the cost analyses for location management were carried out by ignoring the busy-line effect, i.e., by identifying the interservice time with the interarrival time, because, so far, there is no analytical result for the interservice time distribution considering the busy-line effect. In this paper, we develop an analytical model to investigate the busy-line effect on the interservice time distribution. Closed-form analytical formulas for the interservice time are derived. A numerical study shows that a big discrepancy exists between the interarrival time and the interservice time. Based on the analytical results for the interservice time, the impact of the busy-line effect on modeling of portable movements in PCS networks is further evaluated. An analytical result for the distribution of the number of cell-boundary crossings during the interservice time is obtained. Both analytical results and numerical examples indicate that the busy-line effect has influence on the distribution of the number of cell-boundary crossings during the interservice time. Therefore, cost analysis for location management without considering the busy-line effect may lead to unreliable results. The results presented in this paper pave the way for modeling location management and portable movements in PCS networks.
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DOI：
10.1109/pimrc.1996.567488
发表时间：
1996-10
期刊：
Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications
影响因子：
--
作者：
Yi-Bing Lin
通讯作者：
Yi-Bing Lin
DOI：
10.1109/98.736476
发表时间：
1998-12
期刊：
IEEE Wirel. Commun.
影响因子：
--
作者：
D. Grillo;R. Skoog;S. Chia;K. Leung
通讯作者：
D. Grillo;R. Skoog;S. Chia;K. Leung
影响因子：
3.7
作者：
Akyildiz, IF;Ho, JSM;Lin, YB
通讯作者：
Lin, YB
DOI：
--
发表时间：
1987-02
期刊：
--
影响因子：
--
作者：
Erol Gelenbe;Guy Pujolle
通讯作者：
Erol Gelenbe;Guy Pujolle
影响因子：
16.4
作者：
Ma, WC;Fang, YG
通讯作者：
Fang, YG