Mobile user association for heterogeneous networks using optimal transport theory

Hakim Ghazzai, Hamidou Tembine, Mohamed Slim Alouini

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

Abstract

This paper investigates the mobile user association problem for heterogeneous networks. More specifically, it applies the optimal transport (OT) concept to determine the cells corresponding to each base station (BS) that minimize the total transmit power consumption of orthogonal frequency-division multiple access (OFDMA) cellular networks. This is performed by respecting the network quality of service and by taking into account the resource limitation per BS (e.g., power budget and number of resource blocks). Starting from given BS locations and user distributions, a fixed point algorithm is employed to find the optimal solution for the formulated problem. Selected numerical results investigate various practical scenarios with different user distributions and show that the cell boundaries obtained using OT solution provide a significant energy saving compared to the classical Voronoi cell boundaries.

Original languageEnglish (US)
Title of host publication2017 6th International Conference on Communications and Networking, ComNet 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509046638
DOIs
StatePublished - Feb 7 2018
Event6th International Conference on Communications and Networking, ComNet 2017 - Hammamet, Tunisia
Duration: Mar 29 2017Apr 1 2017

Publication series

Name2017 6th International Conference on Communications and Networking, ComNet 2017 - Proceedings
Volume2018-January

Other

Other6th International Conference on Communications and Networking, ComNet 2017
CountryTunisia
CityHammamet
Period3/29/174/1/17

Keywords

  • Heterogeneous networks
  • mobile user association
  • optimal transport
  • power allocation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management

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