Daniel Fernandes
ISCTE – University Institute of Lisbon
17 Papers
55 Citations
Daniel Fernandes is an academic researcher from ISCTE – University Institute of Lisbon. The author has contributed to research in topics: Cloud computing & Cellular network. The author has an hindex of 4, co-authored 17 publications. Previous affiliations of Daniel Fernandes include Universidade Lusófona.
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Papers
Comparison of Artificial Intelligence and Semi-Empirical Methodologies for Estimation of Coverage in Mobile Networks
Daniel Fernandes,António Raimundo,Francisco Cercas,Pedro Sebastiao,Rui Dinis,Lucio Studer Ferreira +5 more
TL;DR: A comparison between a semi-empirical propagation model and a propagation model generated using Artificial Intelligence (AI) is presented, which achieves better results and is the characterised for being completely agnostic and definition-free, when compared with known propagation models.
Combining Measurements and Propagation Models for Estimation of Coverage in Wireless Networks
Daniel Fernandes,Gabriela Soares,Diogo Clemente,Rodrigo Cortesao,Pedro Sebastiao,Francisco Cercas,Rui Dinis,Lucio Studer Ferreira +7 more
- 01 Sep 2019
TL;DR: A novel propagation model is proposed which combines drive test measurements, cell reach statistics, antenna radiation patterns, terrain morphologies, and classical theoretical propagation models and fits with DT measurements.
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Traffic Forecast in Mobile Networks: Classification System Using Machine Learning
Diogo Clemente,Gabriela Soares,Daniel Fernandes,Rodrigo Cortesao,Pedro Sebastiao,Lucio Studer Ferreira +5 more
- 01 Sep 2019
TL;DR: This work proposes a methodology to improve the precision of cell traffic forecasting with a machine learning approach, and selected the features and trained a classifier to allocate the cells between predictable and non- predictable, taking into account previous traffic forecast error.
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A Novel Way to Automatically Plan Cellular Networks Supported by Linear Programming and Cloud Computing
Andre Godinho,Daniel Fernandes,Gabriela Soares,Paulo Pina,Pedro J. Sebastião,Américo Correia,Lucio Studer Ferreira +6 more
TL;DR: A quick and reliable way to automatically plan a set of frequencies in a cellular network, using both cloud technologies and linear programming, which was successfully integrated in the professional tool Metric, and is currently being used for cellular planning.
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Combining Drive Tests and Automatically Tuned Propagation Models in the Construction of Path Loss Grids
Daniel Fernandes,Lucio Studer Ferreira,Mohammad Nozari,Pedro Sebastiao,Francisco Cercas,Rui Dinis +5 more
- 18 Dec 2018
TL;DR: A methodology to build complete path loss grids for a given site is proposed, Starting from available DTs measurements for certain pixels, path loss is estimated for the remaining ones by tuning a propagation model and extrapolating the path loss for neighboring pixels.
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