ray tracing
Efficient and realistic tools capable of modeling radio signal propagation are an indispensable component for the effective operation of wireless communication networks. The advent of artificial intelligence (AI) has propelled the evolution of a new generation of signal modeling tools, leveraging deep learning (DL) models that learn to infer signal characteristics.
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This dataset contains supplementary data and information for
C. H. Teh, B. K. Chung and E. H. Lim, "Multilayer Wall Correction Factors for Indoor Ray-Tracing Radio Propagation Modeling," in IEEE Transactions on Antennas and Propagation, vol. 68, no. 1, pp. 604-608, Jan. 2020, doi: 10.1109/TAP.2019.2943397.
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To improve reproductivity of our papar, we would upload experimental data and resources of evaluations.
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This dataset contains supplementary data and information for
C. H. Teh, B. K. Chung and E. H. Lim, "An Accurate and Efficient 3-D Shooting-and- Bouncing-Polygon Ray Tracer for Radio Propagation Modeling," in IEEE Transactions on Antennas and Propagation, vol. 66, no. 12, pp. 7244-7254, Dec. 2018, doi: 10.1109/TAP.2018.2874519.
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1. Figure S1 shows the plasma frequency profile of the two-layer analytical model of the ionosphere, see Eq. (9) of the main text.
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