A stackelberg game based pricing and user association for spectrum splitting macro-femto HetNets

Bo Gu, Zhi Liu, Cheng Zhang, Kyoko Yamori, Osamu Mizuno, Yoshiaki Tanaka

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The demand for wireless traffic is increasing rapidly, which has posed huge challenges to mobile network operators (MNOs). A heterogeneous network (HetNet) framework, composed of a marcocell and femtocells, has been proved to be an effective way to cope with the fastgrowing traffic demand. In this paper, we assume that both the macrocell and femtocells are owned by the same MNO, with revenue optimization as its ultimate goal. We aim to propose a pricing strategy for macro-femto HetNets with a user centric vision, namely, mobile users would have their own interest to make rational decisions on selecting between the macrocell and femtocells to maximize their individual benefit. We formulate a Stackelberg game to analyze the interactions between the MNO and users, and obtain the equilibrium solution for the Stackelberg game. Via extensive simulations, we evaluate the proposed pricing strategy in terms of its efficiency with respect to the revenue optimization.

Original languageEnglish
Pages (from-to)154-162
Number of pages9
JournalIEICE Transactions on Communications
VolumeE101B
Issue number1
DOIs
Publication statusPublished - 2018 Jan

Keywords

  • Femtocell
  • Game
  • Hetnet
  • Macrocell
  • Pricing
  • Revenue optimization
  • User association
  • Utility

ASJC Scopus subject areas

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

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