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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., Clemente, D., Soares, G., Sebastião, P., Pina, P....Ferreira, L. S. (2019). Cloud-based cellular network planning system: Proof-of-concept implementation for GSM in AWS. In 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC). Lisbon, Portugal: IEEE.
Exportar Referência (IEEE) 
A. F. Godinho et al.,  "Cloud-based cellular network planning system: Proof-of-concept implementation for GSM in AWS", in 2019 22nd Int. Symp. on Wireless Personal Multimedia Communications (WPMC), Lisbon, Portugal, IEEE, 2019
Exportar BibTeX 
@inproceedings{godinho2019_1766222677068,
	author = "Godinho, A. and Fernandes, D. and Clemente, D. and Soares, G. and Sebastião, P. and Pina, P. and Ferreira, L. S.",
	title = "Cloud-based cellular network planning system: Proof-of-concept implementation for GSM in AWS",
	booktitle = "2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/WPMC48795.2019.9096082",
	publisher = "IEEE",
	address = "Lisbon, Portugal",
	organization = "IEEE",
	url = "https://ieeexplore.ieee.org/xpl/conhome/9093082/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - Cloud-based cellular network planning system: Proof-of-concept implementation for GSM in AWS
T2  - 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)
AU  - Godinho, A.
AU  - Fernandes, D.
AU  - Clemente, D.
AU  - Soares, G.
AU  - Sebastião, P.
AU  - Pina, P.
AU  - Ferreira, L. S.
PY  - 2019
SN  - 1347-6890
DO  - 10.1109/WPMC48795.2019.9096082
CY  - Lisbon, Portugal
UR  - https://ieeexplore.ieee.org/xpl/conhome/9093082/proceeding
AB  - Frequency planning for radio network has always been a time consuming, low reward task. Although, it is a must for a quality network. This paper presents a new pattern to plan radio frequency in global system for mobile communications, using cloud-services to automatically configure, optimize and heal a network, with the advantage of this services making both the implementation and its execution faster, without the need to acquire specific hardware. Our implementation analyses the current state of the network and uses interference as a metric to plan and heal networks. We compare our pattern to a realistic scenario and an already implemented pattern.
ER  -