Distributed approximation of cellular coverage

Boaz Patt-Shamir, Dror Rawitz, Gabriel Scalosub

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


We consider the following model of cellular networks. Each base station has a given finite capacity, and each client has some demand and profit. A client can be covered by a specific subset of the base stations, and its profit is obtained only if its demand is provided in full. The goal is to assign clients to base stations, so that the overall profit is maximized subject to base station capacity constraints. In this work, we present a distributed algorithm for the problem, that runs in polylogarithmic time, and guarantees an approximation ratio close to the best known ratio achievable by a centralized algorithm.

Original languageEnglish
Pages (from-to)402-408
Number of pages7
JournalJournal of Parallel and Distributed Computing
Issue number3
StatePublished - 1 Mar 2012


  • Assignment problem
  • Cellular networks
  • Distributed algorithms

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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