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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chaves-Gonzalez, J.M. Dominguez-Gonzalez, D. Vega-Rodriguez, M.A. Gomez-Pulido, J.A. Sanchez-Perez, J.M. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Extremadura, Caceres (Chaves-Gonzalez, J.M.; Dominguez-Gonzalez, D.; Vega-Rodriguez, M.A.; Gomez-Pulido, J.A.; Sanchez-Perez, J.M.) |
| Abstract | Frequency planning (also known as frequency assignment problem -FAP-) is a very important task for current GSM operators. The problem consists in trying to minimize the number of interferences caused when a limited number of frequencies has to be assigned to a quite high number of transceivers. In this work we focus on solving this problem for a realistic-sized, real-world GSM network using a parallelized version of the PBIL (population-based incremental learning) algorithm. Therefore, we have parallelized the PBIL algorithm fixed to the FAP problem using cluster computing. The analysis of the results proves that we have reached a double goal: on the one hand, with the parallelized version of the algorithm, its execution time is reduced down to the optimum values; and on the other hand, we prove that using a distributed island model applied to PBIL, the results for the network-planning are better than the ones obtained with the sequential version. |
| Starting Page | 391 |
| Ending Page | 398 |
| File Size | 401516 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769530895 |
| ISSN | 10666192 |
| DOI | 10.1109/PDP.2008.23 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-02-13 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Frequency GSM Financial advantage program Clustering algorithms Interference Transceivers Concurrent computing Algorithm design and analysis Cities and towns Technology planning |
| Content Type | Text |
| Resource Type | Article |
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