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Autoencoder-Based Domain Learning for Semantic Communication with Conceptual Spaces
In this work, we develop a framework for learning a domain of a conceptual space model using only the raw data with high-level property labels.
Knowledge-Driven Semantic Communication Enabled by the Geometry of Meaning
As our world grows increasingly connected and new technologies arise, global demands for data traffic continue to rise exponentially.
Semantic Communication with Conceptual Spaces
Despite the fact that Shannon and Weaver's Mathematical Theory of Communication was published over 70 years ago, all communication systems continue to operate at the first of three levels defined in this theory: the technical level.
Engineering Semantic Communication: A Survey
In this survey, we aim to provide a comprehensive view of the history and current state of semantic communication and the techniques for engineering this higher level of communication.
Asynchronous Multiuser Detection for SCMA with Unknown Delays: A Compressed Sensing Approach
Despite being the subject of a growing body of research, non-orthogonal multiple access has failed to garner sufficient support to be included in modern standards.
