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About this paper
Homa Nikbakht, Mingjun Ying, Dipankar Shakya, Daniel Abraham, Theodore S. Rappaport
ARIA learns distributions of measured wireless channel parameters and converts them into closed-form distributions that conventional simulators can sample. It uses neural density estimation to fit parameter distributions, then selects simulator-ready forms and tests generated channels against measurements. In one 16.95-GHz indoor-hotspot campaign, it reproduces several measured delay and angular spread medians, though some metrics differ.
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