Semantic Communication Meets Edge Intelligence

Understand

The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic.

• As the available spectrum resource becomes more and more scarce, there is a growing need for a paradigm shift from Shannon's Classical Information Theory (CIT) to semantic communication (SemCom).
• Specifically, the former adopts a "transmit-before-understanding" approach while the latter leverages artificial intelligence (AI) techniques to "understand-before-transmit", thereby alleviating bandwidth pressure by reducing the amount of data to be exchanged without negating the semantic effectiveness of the transmitted symbols.
• However, the semantic extraction (SE) procedure incurs costly computation and storage overheads.