RF Propagation Research
Sound Propagation Papers
- C. Schissler and D. Manocha. Gsound: Interactive sound propagation
- M. Taylor, A. Chandak, Q. Mo, C. Lauterbach, C. Schissler, D.
Manocha. Guiding Multiview GPU Ray Tracing for Faust Auralization
RF Propagation Papers
State of the Art Systems
- R. J. Burkholder, et al. Iterative Physical Optics: Its Not Just
for Cavities Anymore.
- Z. Chen, H.L. Bertoni, and A. Delis. Progressive and approximate
in ray-tracing-based radio wave propagation prediction models.
Antennas and Propagation, IEEE Transactions on, 52(1):240–251,
- S.J. Fortune, D.M. Gay, B.W. Kernighan, O. Landron, R.A.
and M.H. Wright. Wise design of indoor wireless systems: practical
computation and optimization. Computational Science & Engineering,
IEEE, 2(1):58–68, 1995.
- S.C. Kim, B.J. Guarino Jr, T.M. Willis III, V. Erceg, S.J.
Valenzuela, L.W. Thomas, J. Ling, and J.D. Moore. Radio propagation
measurements and prediction using three-dimensional ray tracing in urban
environments at 908 mhz and 1.9 ghz. Vehicular Technology, IEEE
Transactions on, 48(3):931–946, 1999.
- A. Schmitz, T. Rick, T. Karolski, T. Kuhlen, and L. Kobbelt.
rasterization for outdoor radio wave propagation. IEEE Transactions on
Visualization and Computer Graphics, pages 159–170, 2010.
- Photon Path Map - Schmitz & Kobbelt - Aachen, Germany
- 2.5D Beam Tracing - Schmitz, et al. - Aachen, Germany
- Dominant Path Prediction - Wahl, et al. - AWE
Communications - Stuttgart, Germany
- Edge Diffraction Based - Rick & Mathar - Aachen, Germany
- WISE - Fortune, et
al. - Alcatel-Lucent -
- Predict propagation loss with mean error of 6 dB
- Predict propagation loss with standard deviation of 8 dB
- (optional) predict delay spread histograms (similar to impulse
- Karlsruhe, Germany - 2 GHz and 5.2 GHz
- Rosslyn, Virginia - 908 MHz and 1.9 GHz
- Munich, Germany (COST 231)-
- Ilmenau, Germany -
- IEEE Antennas and Propagation Society International Symposium.
- IEEE Transactions on Antennas and Propagation
- IEEE Transactions on Visualization and Computer Graphics
- IEEE Transactions on Vehicular Technology
- IEEE Computational Science and Engineering
- European Conference on Antennas and Propagation (EuCAP) - 26-30
- How to deal with
scattering from vegetation
- How to deal with dynamic scenes (moving cars, etc )
- Deal with larger scenes. (WISE began to run out of steam
for models of large cities with 2-3 diffractions, and 5-10 reflections)
- Do predictions faster, possibly real-time
- Make more accurate predictions.
- Predict Interference
- Correctly model Antenna Patterns (not omnidirectional)
- Inverse Ray Tracing (determine transmitter location, given a set
of received signals)
- Determine best position for a UAV to provide coverage to multiple
soldiers in an urban environment.