1993
DOI: 10.1109/25.260746
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Channel assignment in cellular radio networks

Abstract: Abstruct-We investigate algorithms based on simulated annealing to solve the channel assignment problem for cellular radio networks. The blocking probability of a network is chosen as the optimization criterion. In order to check the quality of the solutions obtained by simulated annealing, we examine some special types of networks which allow an effective calculation of optimal solutions by tailored algorithms. Our investigations show that simulated annealing is a very powerful tool for solving channel assign… Show more

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Cited by 129 publications
(54 citation statements)
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“…Mathar and Mattfeldt (1993) the model is (distance) MB-FAP with only hard co-channel constraints. The authors propose a non standard definition of a neighborhood in order to guarantee convergency of the method.…”
Section: Mi-fap Inmentioning
confidence: 99%
See 1 more Smart Citation
“…Mathar and Mattfeldt (1993) the model is (distance) MB-FAP with only hard co-channel constraints. The authors propose a non standard definition of a neighborhood in order to guarantee convergency of the method.…”
Section: Mi-fap Inmentioning
confidence: 99%
“…This approach has been modeled independently by Mathar and Mattfeldt (1993), and Chang and Kim (1997), who use a weighted combination of blocking probabilities in the objective function. This problem is known as the Minimum Blocking Frequency Assignment Problem (MB-FAP).…”
Section: 1mentioning
confidence: 99%
“…From then on, a large number of articles have been published devoted to the study of the frequency assignment problem and its connections to graph labelings, in particular, to the class of -labelings and its generalizations: Over 100 references on the subject are provided in a very comprehensive survey [3]. In addition to graph theory and combinatorial techniques, other interesting approaches in studying these labelings include neural networks [7], [14]; genetic algorithms [17], and simulated annealing [18]. Most of these papers are considering the values of on particular classes of graphs.…”
Section: Introductionmentioning
confidence: 99%
“…For a large-scale system an approach for the optimal solution is impractical. Thus a simplification of the problem or an approximation technique have been used, such as neural network based algorithms [16,17,18], simulations [19,20], and genetic algorithms [9,21,22,23]. Many authors have studied lower bounds for SM.…”
Section: Introductionmentioning
confidence: 99%