DocumentCode
3577328
Title
Handover Analysis of Macro-Assisted Small Cell Networks
Author
Chia-Han Lee ; Zih-Siang Syu
Author_Institution
Res. Center for Inf. Technol. Innovation, Taipei, Taiwan
fYear
2014
Firstpage
604
Lastpage
609
Abstract
The concept of macro-assisted small cell networks, or phantom cells, has recently been proposed to tackle the problem of mobility and handover issues in small cell networks. In this paper we analyze the mean handover rate and the mean sojourn time in cellular networks deploying the phantom cell architecture. The random waypoint model is used to describe the user mobility. The locations of base stations are modeled by a Poisson point process (PPP) and the base station serving zones are modeled by Poisson Voronoi tessellations (PVT). The closed-form expressions derived in this paper show that the handover rate and the sojourn time are simply a function of user velocity, transmission probability, and base station density. We further show that by adopting the macro-assisted small cell (phantom cell) architecture, the interruption ratio can be much smaller, and the improvement is equal to the square root of the ratio of densities of macro base stations and small cell base stations. The results thus provide useful design guidelines for phantom cell deployment in 5G.
Keywords
cellular radio; mobility management (mobile radio); stochastic processes; 5G; Poisson Voronoi tessellations; Poisson point process; base station; base station density; cellular networks; handover analysis; handover issues; macroassisted small cell networks; mobility issues; phantom cell architecture; phantom cell deployment; transmission probability; Analytical models; Base stations; Computer architecture; Handover; Microprocessors; Phantoms; 5G; Poisson Voronoi tessellations; Poisson point process; handover; phantom cell; small cell; stochastic geometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
Print_ISBN
978-1-4799-5967-9
Type
conf
DOI
10.1109/iThings.2014.103
Filename
7059729
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