Optimum and equilibrium in assignment problems with congestion: Mobile terminals association to base stations

Alonso Silva, Hamidou Tembine, Eitan Altman, Mérouane Debbah

Research output: Contribution to journalArticlepeer-review

Abstract

The classic optimal transportation problem consists in finding the most cost-effective way of moving masses from one set of locations to another, minimizing its transportation cost. The formulation of this problem and its solution have been useful to understand various mathematical, economical, and control theory phenomena, such as, e.g., Witsenhausen's counterexample in stochastic control theory, the principal-agent problem in microeconomic theory, location and planning problems, etc. In this work, we incorporate the effect of network congestion to the optimal transportation problem and we are able to find a closed form expression for its solution. As an application of our work, we focus on the mobile association problem in cellular networks (the determination of the cells corresponding to each base station). In the continuum setting, this problem corresponds to the determination of the locations at which mobile terminals prefer to connect (by also considering the congestion they generate) to a given base station rather than to other base stations. Two types of problems have been addressed: a global optimization problem for minimizing the total power needed by the mobile terminals over the whole network (global optimum), and a user optimization problem, in which each mobile terminal chooses to which base station to connect in order to minimize its own cost (user equilibrium). This work combines optimal transportation with strategic decision making to characterize both solutions.

Original languageEnglish (US)
Article number6471755
Pages (from-to)2018-2031
Number of pages14
JournalIEEE Transactions on Automatic Control
Volume58
Issue number8
DOIs
StatePublished - 2013

Keywords

  • Base stations
  • Cellular networks
  • Mobile communication
  • Network topology
  • Resource management
  • Signal-to-noise ratio (SNR)
  • Throughput

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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