Project: Dynamic monitoring of the radiofrequency spectrum through IoT networks for telecommunication services optimization in developing countries
2018-10-01 – 2024-10-09
- Abstract
An IoT sensor network for dynamic radiofrequency spectrum monitoring will be designed. Algorithms for design and optimal deployment will be conceived and tested for real Cuban scenarios. Dynamic data and maps will be provided, enabling real time decision-making, being crucial for efficient
spectrum usage to people in developing countries and for providing better wireless internet and communication opportunities.
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- Journal Article
- A2
- open access
5G mmwave network planning using machine learning for path loss estimation
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- Journal Article
- A1
- open access
SFN gain prediction by neural networks for enhancing Layer 2 coverage in LDM systems
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- Journal Article
- A1
- open access
Indoor genetic algorithm-based 5G network planning using a machine learning model for path loss estimation