Optimization of power consumption in wireless access networks using Differential Evolution with eigenvector based crossover operator

Optimization of power consumption in wireless access networks using Differential Evolution with eigenvector based crossover operator. Goudos, S., K., Deruyck, M., Plets, D., Martens, L., & Joseph, W. In 2016 10th European Conference on Antennas and Propagation, EuCAP 2016, 2016.
doi abstract bibtex

The power consumption of wireless access networks is an important issue. In this paper, the power consumption of LTE base stations is optimized. We consider the city of Ghent, Belgium with 75 possible LTE base station locations. We optimize the network towards two objectives: the coverage maximization and the power consumption minimization. We propose a design framework based on Differential Evolution with eigenvector-based crossover operator. The results of the proposed method indicate the advantages and applicability of our approach.

@inproceedings{
 title = {Optimization of power consumption in wireless access networks using Differential Evolution with eigenvector based crossover operator},
 type = {inproceedings},
 year = {2016},
 keywords = {LTE,base station,coverage,differential evolution,network planning,power consumption},
 id = {3c07b195-5c09-3d53-8e8f-c2a8fafe8c69},
 created = {2020-02-29T16:57:44.152Z},
 file_attached = {false},
 profile_id = {c69aa657-d754-373c-91b7-64154b7d5d91},
 last_modified = {2023-02-11T18:54:01.742Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Goudos2016b},
 private_publication = {false},
 abstract = {The power consumption of wireless access networks is an important issue. In this paper, the power consumption of LTE base stations is optimized. We consider the city of Ghent, Belgium with 75 possible LTE base station locations. We optimize the network towards two objectives: the coverage maximization and the power consumption minimization. We propose a design framework based on Differential Evolution with eigenvector-based crossover operator. The results of the proposed method indicate the advantages and applicability of our approach.},
 bibtype = {inproceedings},
 author = {Goudos, Sotirios K. and Deruyck, Margot and Plets, David and Martens, Luc and Joseph, Wout},
 doi = {10.1109/EuCAP.2016.7481359},
 booktitle = {2016 10th European Conference on Antennas and Propagation, EuCAP 2016}
}

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