Asymptotic behavior of ultra-dense cellular networks and its economic impact

Jihong Park, Seong Lyun Kim, Jens Zander

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Citations (Scopus)

Abstract

This paper investigates the relationship between base station (BS) density and average spectral efficiency (SE) in the downlink of a cellular network. This relationship has been well known for sparse deployment, i.e. when the number of BSs is small compared to the number of users. In this case the SE is independent of BS density. As BS density grows, on the other hand, it has previously been shown that increasing the BS density increases the SE, but no tractable form for the SE-BS density relationship has yet been derived. In this paper we derive such a closed-form result that reveals the SE is asymptotically a logarithmic function of BS density as the density grows. Further, we study the impact of this result on the network operator's profit when user demand varies, and derive the profit maximizing BS density and the optimal amount of spectrum to be utilized in closed forms. In addition, we provide deployment planning guidelines that will aid the operator in his decision if he should invest in densifying his network or in acquiring more spectrum.

Original languageEnglish
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4941-4946
Number of pages6
ISBN (Electronic)9781479935116
DOIs
Publication statusPublished - 2014 Feb 9
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 2014 Dec 82014 Dec 12

Publication series

Name2014 IEEE Global Communications Conference, GLOBECOM 2014

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
Country/TerritoryUnited States
CityAustin
Period14/12/814/12/12

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

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