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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Godinho, A., Fernandes, D., Soares, G., Pina, P., Sebastião, P., Correia, A....Ferreira, L. S. (2020). A novel way to automatically plan cellular networks supported by linear programming and cloud computing. Applied Sciences. 10 (9)
Exportar Referência (IEEE) 
A. Godinho et al.,  "A novel way to automatically plan cellular networks supported by linear programming and cloud computing", in Applied Sciences, vol. 10, no. 9, 2020
Exportar BibTeX 
@article{godinho2020_1775153949616,
	author = "Godinho, A. and Fernandes, D. and Soares, G. and Pina, P. and Sebastião, P. and Correia, A. and Ferreira, L. S.",
	title = "A novel way to automatically plan cellular networks supported by linear programming and cloud computing",
	journal = "Applied Sciences",
	year = "2020",
	volume = "10",
	number = "9",
	doi = "10.3390/app10093072",
	url = "https://doi.org/10.3390/app10093072"
}
Exportar RIS 
TY  - JOUR
TI  - A novel way to automatically plan cellular networks supported by linear programming and cloud computing
T2  - Applied Sciences
VL  - 10
IS  - 9
AU  - Godinho, A.
AU  - Fernandes, D.
AU  - Soares, G.
AU  - Pina, P.
AU  - Sebastião, P.
AU  - Correia, A.
AU  - Ferreira, L. S.
PY  - 2020
SN  - 2076-3417
DO  - 10.3390/app10093072
UR  - https://doi.org/10.3390/app10093072
AB  - With the increasing number of mobile subscribers worldwide, there is a need for fast and reliable algorithms for planning/optimization of mobile networks, especially because, in order to maintain a network’s quality of service, an operator might need to deploy more equipment. This paper presents a quick and reliable way to automatically plan a set of frequencies in a cellular network, using both cloud technologies and linear programming. We evaluate our pattern in a realistic scenario of a Global System for Mobile communications protocol (GSM) network and compare the results to another already implemented commercial tool. Results show that even though network quality was similar, our algorithm was twelve times faster and used four times less memory. It was also able to frequency plan seventy cells simultaneously in less than three minutes. This mechanism was successfully integrated in the professional tool Metric, and is currently being used for cellular planning. Its extension for application to 3/4/5G networks is under study.
ER  -