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Greedy online frequency allocation in cellular networks

  • Joseph Wun Tat Chan
  • , Francis Y.L. Chin
  • , Deshi Ye
  • , Yong Zhang*
  • , Hong Zhu
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

17 Citations (Scopus)

Abstract

The online frequency allocation problem for cellular networks has been well studied in these years. Given a mobile telephone network, whose geographical coverage area is divided into cells, phone calls are served by assigning frequencies to them, and no two calls emanating from the same or neighboring cells are assigned the same frequency. Assuming an online setting that the calls arrive one by one, the problem is to minimize the span of the frequencies used.

In this paper, we study the greedy approach for the online frequency allocation problem, which assigns the minimal available frequency to a new call so that the call does not interfere with calls of the same cell or neighboring cells. If the calls have infinite duration, the competitive ratio of greedy algorithm has a tight upper bound of 17/7, which closes the gap of [17 / 7, 2.5) in [I. Caragiannis, C. Kaklamanis, E. Papaioannou, Efficient on-line frequency allocation and call control in cellular networks, Theory Comput. Syst. 35 (5) (2002) 521-543. A preliminary version of the paper appeared in SPAA 2000]. If the calls have finite duration, i.e., each call may be terminated at some time, the competitive ratio of the greedy algorithm has a tight upper bound of 3.

Original languageEnglish
Pages (from-to)55-61
Number of pages7
JournalInformation Processing Letters
Volume102
Issue number2-3
Early online date29 Dec 2006
DOIs
Publication statusPublished - 30 Apr 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

  • Cellular network
  • Competitive analysis
  • Frequency allocation
  • Greedy algorithm
  • On-line algorithms

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