Efficient Preprocessed Ray Tracing for 5G Mobile Transmitter Scenarios in Urban Microcellular Environments

An Efficient Ray-Tracing Based Model Dedicated to Wireless Sensor Network Simulators for Smart Cities Environments

“…The dark polygons lead to numerous intersection tests for each ray-path, and thus high RT computation times. Moreover, the proposed pre-process is very time consuming, as shown in [66]. In [64], the solution was optimized for the treatment of several receivers, by mapping in pre-process the lit polygons to a coarse grid to limit the number of intersection tests needed in RT.…”

“…A 50% reduction in pre-process computation time is obtained against [64], but because the intra visibility matrix is still non-exact, costly intersection tests are still needed to validate the potential ray-paths in RT, so the computation times remain too high for WSN simulators. In [66], the intra visibility matrix is reused jointly with a visibility table containing the list of faces/edges visible from an emitter moving along a linear route. This allows significant acceleration of the preprocessing time compared to [65] in the case of a mobile emitter, but it still takes a lot of time.…”

“…Hence, it remains too large for WSN simulators. In the rest of this article, the efficiency of the proposed solution will be compared to those of [65] and [66].…”

“…To further assess performance, we also present in Table 1 results obtained in a second environment, described in Fig.8, corresponding to a part of the city of Munich (Germany) used to evaluate performances of another recent published RT-method [66]. The environment's size is 1,000 m x 1,000 m and is composed of 1,734 vertical faces.…”

Fifth-Generation (5G) mmWave Spatial Channel Characterization for Urban Environments’ System Analysis

“…Different techniques and algorithms are used to increase the computational efficiency of RT. In the case of [ 13 ], the use of a pre-calculated intra-visibility database is proposed, obtaining as a result a reduction in pre-processing time of 90%.…”