IoT Thrust Seminar | Semantic Communications for Multimodal Data

In the past decades, communications primarily focus on how to accurately and effectively transmit symbols from the transmitter to the receiver, in which bit-error rate or symbol-error rate is usually taken as the performance metrics. With the developments of cellular communication systems, the system capacity is gradually approaching to the Shannon limit. Inspired by the powerful deep learning technologies, semantic communications have been regarded as a promising solution to further improve the system efficiency. Semantic communications aim to realize the successful semantic information exchange rather than receive the transmitted bit sequences or symbols accurately. In this talk, the concept of semantic communications will be introduced first. Afterwards, the recent work on deep learning enabled semantic communications for multimodal data and multiple users will be presented. Potential research challenges will be discussed at the end of the talk.