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EUROCAST
2007
Springer

Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem

10 years 10 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor networks. This problem consists in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest cover rate. To date, several radio antenna models have been used: square coverage antennas, omnidirectional antennas that cover a circular area, etc. In this work we use omnidirectional antennas. On the other hand, RND is an NP-hard problem; therefore its solution by means of evolutionary algorithms is appropriate. In this work we study different evolutionary approaches to tackle this problem. PBIL (Population-Based Incremental Learning) is based on genetic algorithms and competitive learning (typical in neural networks). DE (Differential Evolution) is a very simple population-based stochastic function minimizer used in a wide range of optimization problems, including multi-obj...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where EUROCAST
Authors Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Enrique Alba, David Vega-Pérez, Silvio Priem-Mendes, Guillermo Molina
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