  Reconfigurable intelligent surfaces have been recently investigated for their
potentials to offer significant performance improvements in the next generation
wireless telecommunication systems (5G and beyond / 6G). Intelligent surfaces
are programmed to control the electromagnetic propagation and obtain the
desired wavefront by tuning the local reflection phase of unit elements.
Predicting the electromagnetic propagation in the RIS-assisted wireless channel
accurately is a significant challenge for researchers and becomes crucial for
Telecom operators to properly allocate the radio resources. We propose the use
of an Eulerian ray-tracing method, the Dynamical Energy Analysis (DEA), as a
coverage planning tool capable of account for the EM interaction between
reconfigurable intelligent surfaces and the surrounding environment. The main
characteristics that make DEA suitable for this purpose are discussed and some
preliminary results of the reflective surface integration within the DEA code
will be presented.
