Handover Rate Characterization in 3D Ultra-Dense Heterogeneous Networks

Rabe Arshad*, Hesham Elsawy, Lutz Lampe, Md Jahangir Hossain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Ultra-dense networks (UDNs) envision the massive deployment of heterogeneous base stations (BSs) to meet the desired traffic demands. Furthermore, UDNs are expected to support the diverse devices e.g., personal mobile devices and unmanned aerial vehicles. User mobility and the resulting excessive changes in user to BS associations in such highly dense networks may however nullify the capacity gains foreseen through BS densification. Thus, there exists a need to quantify the effect of user mobility in UDNs. In this paper, we consider a three-dimensional N-tier downlink network and determine the association probabilities and inter/intra tier handover rates using tools from stochastic geometry. In particular, we incorporate user and BSs' antenna heights into the mathematical analysis and study the impact of user height on the association and handover rate. The numerical trends show that the intra-tier handovers are dominant for the tiers with shortest relative elevation w.r.t. the user and this dominance is more prominent when there exists a high discrepancy among the tiers' heights. However, biasing can be employed to balance the handover load among the network tiers.

Original languageEnglish
Article number8784288
Pages (from-to)10340-10345
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume68
Issue number10
DOIs
StatePublished - Oct 2019

Bibliographical note

Publisher Copyright:
© 1967-2012 IEEE.

Keywords

  • 3-Dimensional Networks
  • Association Probabilities
  • Handover Rate
  • Stochastic Geometry
  • Ultra-Dense Networks

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering

Fingerprint

Dive into the research topics of 'Handover Rate Characterization in 3D Ultra-Dense Heterogeneous Networks'. Together they form a unique fingerprint.

Cite this