Optimal Design of Copper Based  Telecommunication Networks using AI Methods

K.F. Poon, J. Tindle, S. Brewis, D. Asumu
University of Sunderland
BT London
BT Martlesham

Abstract. Planning modern telecommunication networks, based on copper technology, requires designers to consider many complex factors, such as the type, number, position of components and the path of cables. The difficulty of producing consistent, cost-effective solutions is generally proportional to the size and complexity of a network. Computer-generated solutions both increase consistency and reduce planning costs by the rapid evaluation of different network configurations. A fully automated AI based copper-planning tool that can obtain an optimal or near optimal solution has been developed. This paper discusses the merits of using this hybrid search engine to generate solutions in a real time environment. An overview of greenfield copper planning is provided. Optimisation objectives are clearly described. In addition, an environment for the copper-planning tool, data display and the results relating to optimisation efficiency for a practical network are given.

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