DocumentCode
3604536
Title
On the
-Stable Distribution of Base Stations in Cellular Networks
Author
Yifan Zhou ; Rongpeng Li ; Zhifeng Zhao ; Xuan Zhou ; Honggang Zhang
Author_Institution
Coll. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
Volume
19
Issue
10
fYear
2015
Firstpage
1750
Lastpage
1753
Abstract
Cellular networks are now nearly universally deployed and are under ever-growing pressure to increase the volume of data deliverable to consumers. Understanding how base stations (BSs) are spatially deployed could prominently facilitate the performance analyses of cellular networks, as well as the design of efficient networking protocols. In this letter, inspired by the clustering reality of BSs and the intrinsic heavy-tailed characteristics of human activities, we aim to re-examine the statistical pattern of BSs in cellular networks, and find the most appropriate spatial density distribution of BSs. Interestingly, by taking advantage of large amount of realistic deployment information of BSs from on-operating cellular networks, we find that the widely adopted Poisson distribution severely diverges from the practical density distribution of BSs. Instead, heavy-tailed distributions could more precisely match the practical distribution. In particular, α-stable distribution, the distribution also found in traffic pattern of broadband networks and cellular networks, is most consistent with the practical one.
Keywords
Poisson distribution; broadband networks; cellular radio; protocols; telecommunication traffic; α-stable distribution; Poisson distribution; base stations; broadband networks; cellular networks; networking protocols; spatial density distribution; Base stations; Broadband communication; Cities and towns; Distribution functions; Graphical models; Probability density function; Stochastic processes; $alpha$-stable distribution; -stable distribution; Cellular networks; Poisson point process; base stations; heavy-tailed distributions; spatial density distribution;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2015.2468718
Filename
7202841
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