Frequency Allocation Problems for Linear Cellular Networks

Joseph Wun-Tat Chan, Francis Y. L. Chin, Deshi Ye, Yong Zhang, Hong Zhu

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

19 Citations (Scopus)

Abstract

We study the online frequency allocation problem for wireless linear (highway) cellular networks, where the geographical coverage area is divided into cells aligned in a line. Calls arrive over time and are served by assigning frequencies to them, and no two calls emanating from the same cell or neighboring cells are assigned the same frequency. The objective is to minimize the span of frequencies used.
In this paper we consider the problem with or without the assumption that calls have infinite duration. If there is the assumption, we propose an algorithm with absolute competitive ratio of 3/2 and asymptotic competitive ratio of 1.382. The lower bounds are also given: the absolute one is 3/2 and the asymptotic one is 4/3. Thus, our algorithm with absolute ratio of 3/2 is best possible. We also prove that the Greedy algorithm is 3/2-competitive in both the absolute and asymptotic cases. For the problem without the assumption, i.e. calls may terminate at arbitrary time, we give the lower bounds for the competitive ratios: the absolute one is 5/3 and the asymptotic one is 14/9. We propose an optimal online algorithm with both competitive ratio of 5/3, which is better than the Greedy algorithm, with both competitive ratios 2.
Original languageEnglish
Title of host publicationAlgorithms and Computation
Subtitle of host publication17th International Symposium, ISAAC 2006, Kolkata, India, December 18-20, 2006. Proceedings
EditorsTetsuo Asano
Place of PublicationBerlin ; New York
PublisherSpringer Finance
Pages61-70
Number of pages10
ISBN (Print)9783540496946
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume4288
ISSN (Print)0302-9743

Fingerprint

Dive into the research topics of 'Frequency Allocation Problems for Linear Cellular Networks'. Together they form a unique fingerprint.

Cite this