A Bayesian distributed ISEA system uses a Gaussian-mixture prior for an RWB estimator at sensing and derives threshold-based optimal power allocation at communication to gain inference performance.
Wireless sens- ing with deep spectrogram network and primitive based autoregressive hybrid channel model,
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Distributed Integrated Sensing and Edge AI Exploiting Prior Information
A Bayesian distributed ISEA system uses a Gaussian-mixture prior for an RWB estimator at sensing and derives threshold-based optimal power allocation at communication to gain inference performance.