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Abstract
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| In enterprise scenarios, multi-femtocell deployments can be carried out to improve indoor services performance. In this environment, a detailed cell planning can be made in order to optimize network performance. To solve NP-Hard optimization problems in wireless networks, several methods have been proposed, typically based in metaheuristic algorithms. In this paper, a novel genetic algorithm for optimization of multi-femtocell deployments based on a multistep fitness assessment is presented, in order to ensure the fulfillment of cost and quality constraints. Results obtained show that the proposed algorithm is able to optimize complex multi-femtocell deployments with multiple optimization variables, without a previous knowledge about the optimum number of femtocells needed to fulfill design requirements. | |
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International
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No |
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Congress
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XXVII Simposium Nacional de la Unión Científica Internacional de Radio URSI 2012 |
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960 |
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Place
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Elche, Alicante |
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Reviewers
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Si |
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ISBN/ISSN
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978-84-695-4326-9 |
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Start Date
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12/09/2012 |
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End Date
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14/09/2012 |
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From page
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1 |
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To page
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4 |
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Actas del Simposium |