In this paper, we propose a neural network algorithm that uses the expanded maximum neuron model to solve the channel assignment problem of cellular radio networks, which is an NP-complete combinatorial optimization problem. The channel assignment problem demands minimizing the total interference be
A channel assignment problem for optical networks modelled by Cayley graphs
โ Scribed by Sanming Zhou
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 239 KB
- Volume
- 310
- Category
- Article
- ISSN
- 0304-3975
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โฆ Synopsis
A problem arising from a recent study of scalability of optical networks seeks to assign channels to the vertices of a network so that vertices distance 2 apart receive distinct channels. In this paper we introduce a general channel assignment scheme for Cayley graphs on abelian groups, and derive upper bounds for the minimum number of channels needed for such graphs. As application we give a systematic way of producing near-optimal channel assignments for connected graphs admitting a vertex-transitive abelian group of automorphisms. Hypercubes are examples of such graphs, and for them our near-optimal upper bound gives rise to the one obtained recently by Wan.
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