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Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Brian J. Henz, David Richie, Evens Jean, Song Jun Park, James A. Ross, Dale R. Shires
U.S. Army Research Laboratory, APG, MD 21005
The 2013 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’13), 2013

@article{henz2013real,

   title={Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation Using GPGPUs},

   author={Henz, Brian J and Richie, David and Jean, Evens and Park, Song Jun and Ross, James A and Shires, Dale R},

   year={2013}

}

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The accurate simulation and emulation of mobile radios requires the computation of RF propagation path loss in order to accurately predict connectivity and signal interference. There are many algorithms available for computing the RF propagation path loss between wireless devices including the Longley-Rice model, the transmission line matrix (TLM), ray-tracing, and the parabolic equation method. Each of these methods has advantages and disadvantages but all require a large number of floating point operations during execution. In this paper we investigate using general purpose graphics processing units (GPGPUs) to provide the computational capabilities required to perform these RF path loss calculations in real-time in order to support large scale mobile ad-hoc network emulation. Three specific methods, namely the Longley-Rice, TLM, and ray-tracing methods are explored including usage cases and performance analysis on GPUs. The Longley-Rice algorithm is solved in real-time for 1000’s of transmitters and receivers, the TLM method is well suited for GPU acceleration as is ray-tracing. We will discuss the algorithm modifications required for efficient GPU use, precision issues and optimization.
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