Methods and apparatuses for sensing application identification and prediction

Abstract

Some embodiments in the present disclosure relate to sensing application identification. For example, a wireless signal is obtained to be further processed. Then, presence of a sensing signal in the received signal is estimated, the sensing signal being a signal generated by a sensing application. Based on the estimation of the sensing signal, wireless reception, transmission or sensing is then performed. The sensing application detection and/or identification may be performed by a trained model such as machine learning based model. The wireless reception, transmission or sensing performed according to the result of the estimation may further include channel access, resource allocation, utilization of the detected sensing signal for own sensing purposes, or the like.

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