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Contenido archivado el 2024-05-07

Algorithms for radio network optimisation

Objetivo

The main aim of ARNO is to develop optimisation methods and associated software tools for cellular network engineering.

Up to now the combinatorial complexity of cellular network design has not been considered by the exploitation services of mobile operators as a main optimisation problem to computerise. Essential optimisation procedures involved only the handmade parametrisation of current networks. However, now the rapid growth of network size and design complexity make essential to consider the combinatorial complexity of network design as an optimisation problem in need of computerisation. From an optimisation point of view, it means dealing with the interconnection of subproblems, an enormous volume of data, and difficult combinatorial aspects, features which cannot be taken into account optimally without advanced computerisation.

Exploitable results from the project will consist of software tools incorporating optimisation algorithms. For existing networks a global optimisation procedure will allow optimised network extensions (i.e. additional sites and further frequency plans), and for new networks (micro-cellular technology and foreign markets) it will immediately ensure an optimised design. The software optimisation tools, which will be the exploitable results of ARNO, will not be restricted to the GSM networks. GSM characteristics will be used as a reference for the project, but the optimisation algorithms should be easily adjusted to manage network design with other systems (CDMA) and GSM future extension. It ensures to the project results which enable future developments to be included in the design of mobile networks.

Cellular design scenarios are so varied that the robustness of algorithms constitutes a real problem: it prevents the consortium from studying only one optimisation method. The consortium will study and develop software tools for three families of modern heuristic methods, their combination and their parallelisation:
- modern local search: Tabu search, simulated annealing, intelligent hill climbing
- evolutionary algorithms: genetic algorithms
- artificial neural networks
Software tools incorporating the selected heuristics will be developed and will be tested on available data sets. The solutions obtained will be evaluated and compared using a specific simulation tool available at FT-CNET.

Algorithms from ARNO will be able to generate several solutions in a matter of hours where at present one solution requires several man-months. By proposing appropriate optimisation algorithms, ARNO will not only lower costs associated with the design time of a mobile radio network, but also will reduce costs associated with the use of expensive network equipment. Efficient mobile radio engineering software tools will allow Europe to penetrate into new, highly competitive, markets (e.g. Eastern Europe and Asia), with a revenue pay back assessed in millions of ECUs (the mobile market in Europe has been estimated at 4 billion dollars in year 2000). The ARNO User Committee will ensure to the project the dissemination of results in exploitation services of mobile operators.

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EIF - Marie Curie actions-Intra-European Fellowships

Coordinador

France Telecom / Centre National D'etudes des Telecommunications
Aportación de la UE
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Dirección
Rue Du General Leclerc 38-40
91131 Issy-les- Moulineaux
Francia

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Participantes (4)

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