Frequency Assignment in Cellular Radio by Stochastic Optimization

Authors:

Zürbes, S.

Book Title:

ITG-Fachtagung Mobile Kommunikation

Organization:

ITG

Pages:

p.p. 135-142

Address:

Bonn, Germany

Date:

Sep. 1997

Language:

English

Abstract

The frequency assignment problem in cellular radio (also called channel assignment problem) is a discrete, computationally expensive optimization problem. In this contribution, the treatment of the assignment problem by means of the stochastic optimization methods Simulated Annealing and Genetic Algorithms is investigated. Efficient crossover and mutation operators for Genetic Algorithms and Simulated Annealing are presented. A set of heuristic graph coloring algorithms is considered for comparison. Since the stochastic optimization methods allow much more detailed modelling of the interference conditions, they lead to improved frequency assignment results in comparison to graph coloring approaches. The vital influences of the cost function and the assignment modification operators on the assignment quality and optimization speed are shown.

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