DocumentCode :
3468681
Title :
Mobility patterns in microcellular wireless networks
Author :
Thajchayapong, S. ; Peha, J.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
3
fYear :
2003
fDate :
16-20 March 2003
Firstpage :
1963
Abstract :
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.
Keywords :
microcellular radio; wireless LAN; 802.11-based system; Carnegie Mellon University campus; heavy-tailed arithmetic distribution; infinite mean; microcellular wireless network; mobile device; mobility pattern; sign-on interarrival time; variance; Analysis of variance; Arithmetic; Data analysis; Electric variables measurement; Intelligent networks; Land mobile radio cellular systems; Pattern analysis; Performance analysis; Time measurement; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE
Conference_Location :
New Orleans, LA, USA
ISSN :
1525-3511
Print_ISBN :
0-7803-7700-1
Type :
conf
DOI :
10.1109/WCNC.2003.1200688
Filename :
1200688
Link To Document :
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