Massive wireless access and other new applications, as well as the demand for higher rates in wireless communication systems, are making next-generation superfast 5G mobile networks an essential technology. One of the main pillars of 5G networks will be the millimetre-wave (mmWave) band. It’s a promising option that offers wide available bandwidth for 5G and future wireless networks. There’s only one drawback: real-world environmental factors, including weather, foliage, humans and vehicles, have a significant impact on channel path loss. The EU-funded mmChannel will equip a ray-tracing channel model with environmental factors in the mmWave band. Overall, it will evaluate and optimise mmWave wireless networks taking environmental factors into account.
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-tracing channel model with environmental factors in the mmWave band.
The goal will be approached through 3 work packages (WPs).