CORDIS Project
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This project develops a channel model for millimeter-wave frequencies to optimize 5G networks. It incorporates environmental factors affecting signal propagation, using machine learning to enhance the accuracy of predictions in real-world scenarios.
The Millimetre-wave (mmWave) frequency band offers wide available bandwidth for 5G and future wireless networks.
However, due to the large propagation attenuation of the mmWave frequency, real-world environmental factors, including weather, foliage, humans, vehicles, have a significant impact on the channel path loss.
In order to design and optimise 5G and future networks, a mmWave channel model considering the environmental factors is urgently required.
In this project, we aim to equip a ray-tr…
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