Content-Aware Semantic Communication for Goal-Oriented Wireless Communications
Yuzhou Fu, Wenchi Cheng, Wei Zhang
Abstract
While semantic communications can remarkably reduce the amount of the data transmission traffic without missing critical information, its applications to the efficient goal-oriented wireless communications remain limited. In this paper, we proposed the Content-Aware Semantic Communication (CA-SC) framework, which fuses both global and task-related semantic information via the semantic decoder, thus achieving the goal-oriented wireless communications. In particular, the CA-SC is based on the attention map to locate the task-related semantic information for supporting an adaptive rate allocation scheme. In order to further improve the coding rate as well as reconstructing intended data, we formulate a rate-distortion optimization problem as the loss function for the CA-SC framework, which aims to jointly optimize the semantic codec and the channel codec. Numerical results show that the CA-SC scheme can achieve better performance compared with existing semantic codec scheme and the traditional codec scheme in the image reconstruction task and the object detection task.