Mobility patterns in microcellular wireless networks

被引:35
作者
Thajchayapong, S [1 ]
Peha, JM [1 ]
机构
[1] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
关键词
microcellular networks; mobility model; dwell time; call interarrival time; number of handoffs per sign-on; heavy-tailed distribution; long-range dependence;
D O I
10.1109/TMC.2006.13
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study investigates mobility patterns in microcellular wireless networks, based on measurements from the 802.11-based system that blankets the Carnegie Mellon University campus. We characterize the distribution of dwell time, which is the length of time that a mobile device remains in a cell until the next handoff, and sign-on interarrival time, which is the length of time between successive sign-ons from the same mobile device. Many researchers have assumed that these distributions are exponential, but our results based on empirical analysis show that dwell time and sign-on interarrival time can be accurately described using heavy-tailed arithmetic distributions that have infinite mean and variance. We also show that the number of handoffs per sign-on can be modeled accurately with a heavy-tailed distribution.
引用
收藏
页码:52 / 63
页数:12
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