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Lopes, A., Oliveira, J., Sebastião, P., Sousa, M. & Vieira, P. (2021). A modular web-based software solution for mobile networks planning, operation and optimization. Applied Sciences. 11 (16)

A. M. Lopes et al.,  "A modular web-based software solution for mobile networks planning, operation and optimization", in Applied Sciences, vol. 11, no. 16, 2021

@article{lopes2021_1732418451761,
	author = "Lopes, A. and Oliveira, J. and Sebastião, P. and Sousa, M. and Vieira, P.",
	title = "A modular web-based software solution for mobile networks planning, operation and optimization",
	journal = "Applied Sciences",
	year = "2021",
	volume = "11",
	number = "16",
	doi = "10.3390/app11167686",
	url = "https://www.mdpi.com/journal/applsci"
}

TY  - JOUR
TI  - A modular web-based software solution for mobile networks planning, operation and optimization
T2  - Applied Sciences
VL  - 11
IS  - 16
AU  - Lopes, A.
AU  - Oliveira, J.
AU  - Sebastião, P.
AU  - Sousa, M.
AU  - Vieira, P.
PY  - 2021
SN  - 2076-3417
DO  - 10.3390/app11167686
UR  - https://www.mdpi.com/journal/applsci
AB  - Mobile networks management is increasingly critical due to heavy communications usage by customers and complex due to the multiple technologies and systems deployed. Thus, Mobile Network Operators (MNOs) are constantly looking for better software solutions and tools to help them increase network performance and manage their networks more efficiently. In this paper, we present a modular web-based software solution to tackle problems related to mobile network planning, operation and optimization. The solution is focused on a set of functional requirements carefully chosen to support the network life cycle management, from planning to Operation and Maintenance (OAM) and optimisation stages. Based on a 3-tier modular architecture and implemented using only open-source software, the solution handles multiple data sources (e.g., Drive Test (DT) and Performance Management (PM)) and multiple Radio Access Network (RAN) technologies. MNOs can explore all available data through a flexible and user-friendly web interface, that also includes map-based visualization of the network. Moreover, the solution incorporates a set of recently developed and validated RAN algorithms, supporting tasks of network diagnosis, optimization, and planning. Also, with the purpose of optimizing the network, MNOs can investigate network simulations, using the RAN algorithms, of how the network will behave under certain conditions, and visualize the outcome of those simulations.
ER  -