Radio Propagation Research

The CWiND team is one of the leading European academic research groups in radio propagation modelling. Since 2006, the CWiND members developed both empirical and deterministic propagation models based on FDTD and 3D ray tracing/launching for indoor, outdoor, indoor to outdoor, and outdoor to indoor scenarios. CWiND is one of the first groups (if not the first) that applied general purpose graphic processing unit (GPU) to speed up FDTD computation. The papers on the application of GPU for FDTD in IEEE ICCS 2008 [11] and Eurasip JWCN [5] have been widely cited. It is also one of the testimonies listed by NVIDIA in its website.

In addition, Grid-enabled 3D ray tracing/launching algorithms are also developed, which also represent one of the earliest Grid-enabled radio propagation algorithms (if not the earliest). These models are important to study heterogeneous LTE access networks that involve both indoor and outdoor scenarios. CWiND members have published extensively in this topic [11]-[22]. Apart from the more practical work on radio propagation algorithms as indicated in [11]-[22], CWiND members also made contributions to the more theoretical aspects of FDTD[23][24].They carried out extensive MIMO channel measurement campaigns in indoor, indoor to outdoor and outdoor to indoor scenarios, including probably the world’s first MIMO channel measurement campaigns in typical European residential areas.

In the following, some radio propagation prediction results in outdoor, indoor, indoor to outdoor and outdoor to indoor scenarios based on both FDTD and 3D ray tracing/launching are shown in Figures 1-6.

Fig. 1 Outdoor 2D FDTD Fig. 2 Outdoor 3D ray tracing/launching in 3D GIS to show best servers
Fig. 3 Indoor to outdoor 2D FDTD Fig. 4 Indoor 3D ray tracing/launching
Fig. 5 Outdoor to indoor 3D ray tracing + 2D FDPF Fig. 6 Indoor to outdoor 3D ray tracing/launching