Dynamic Relative Representations for Goal-Oriented Semantic Communications

arXiv:2403.16986v1 Announce Type: cross
Abstract: In future 6G wireless networks, semantic and effectiveness aspects of communications will play a fundamental role, incorporating meaning and relevance into transmissions. However, obstacles arise when devices employ diverse languages, logic, or internal representations, leading to semantic mismatches that might jeopardize understanding. In latent space communication, this challenge manifests as misalignment within high-dimensional representations where deep neural networks encode data. This paper presents a novel framework for goal-oriented semantic communication, leveraging relative representations to mitigate …

abstract arxiv challenge communication communications cs.it cs.lg cs.ni devices diverse dynamic future however languages logic math.it meaning networks obstacles role semantic space type understanding will wireless