Simulation analysis of semantic communications applied to a human language use case

Since their inception, the objective of digital communication systems has been to effectively and reliably transmit a series of bits representing a certain type of information. Consequently, all engineering choices made in past years to construct such systems pursued this goal, overlooking the semantic significance of the information intended for transmission. Semantic communications, viewed as a potential breakthrough in the Shannon paradigm, aim to convey the meaning of a message rather than accurately transmitting every symbol. Recent advancements in machine learning have enabled the extraction of such information from signals, a development that has the potential to revolutionize signal processing techniques in the future. This could significantly enhance the performance of telecommunication systems, whose design must be conceived with the aforementioned objectives in mind. The purpose of this thesis is to provide an overview of semantic communications, analyzing the current state of the art and the associated challenges.