The approach employs generative diffusion models and proves to be highly effective in generating accurate radio maps with only a small number of measurements.
The approach employs generative diffusion models and proves to be highly effective in generating accurate radio maps with only a small number of measurements.
A novel methodology for interpolating path-loss radio maps, which are vital for comprehending signal distribution and hence planning indoor wireless ...
The approach employs generative diffusion models and proves to be highly effective in generating accurate radio maps with only a small number of measurements.
In IRDM [116] , the authors applied generative diffusion models [117] for interpolation of pathloss radio maps. They utilized a multi-stage training ...
IRDM: A generative diffusion model for indoor radio map interpolation. K Qiu, S Bakirtzis, I Wassell, H Song, K Lin, J Zhang. GLOBECOM 2023-2023 IEEE Global ...
IRDM: A generative diffusion model for indoor radio map interpolation. K Qiu ... Rigorous Indoor Wireless Communication System Simulations with Deep Learning- ...
Dec 23, 2024 · AI-Assisted Indoor Wireless Network Planning With Data-Driven ... IRDM: A Generative Diffusion Model for Indoor Radio Map Interpolation.
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The sampling-based methods primarily utilize SPM to obtain pathloss in specific areas for interpolation. Although these methods are independent of knowing ...
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In IRDM [116] , the authors applied generative diffusion models [117] for interpolation of pathloss radio maps. They utilized a multi-stage training strategy ...