Two Optimization Techniques for Channel Assignment in Cellular Radio Network


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 2, pp. 439-448, Feb. 1999
10.3745/KIPSTE.1999.6.2.439,   PDF Download:

Abstract

In this paper, two optimization algorithms based on artificial neural networks and genetic algorithms are proposed for cellular radio channel assignment problems. The channel assignment process is characterized as minimization of the energy function which represents constraints of the channel assignment problems. All three constraints such as the co-channel constraint, the adjacent channel constraint and the co-site channel constraint are considered. In the neural networks approach, certain techniques such as the forced assignment and the changing cell order are developed. and in the genetic algorithms approach, data structure and proper genetic operators are developed to find optimal solutions. As simulation results, the convergence rates of the two approaches are presented and compared.


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Cite this article
[IEEE Style]
N. I. Gil and P. S. Ho, "Two Optimization Techniques for Channel Assignment in Cellular Radio Network," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 2, pp. 439-448, 1999. DOI: 10.3745/KIPSTE.1999.6.2.439.

[ACM Style]
Nam In Gil and Park Sang Ho. 1999. Two Optimization Techniques for Channel Assignment in Cellular Radio Network. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 2, (1999), 439-448. DOI: 10.3745/KIPSTE.1999.6.2.439.