Contextual Reasoning-based Semantics-Native Communication

Hyowoon Seo, Yoon Huh, Heekang Song, Wan Choi, Mehdi Bennis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter conducts a thorough investigation into semantics-native communication (SNC), a methodology crafted to optimize communication systems by augmenting efficiency and task effectiveness. It is particularly tailored for semantic communication scenarios where the sender and receiver independently develop their encoder and decoder, respectively. SNC leverages contextual reasoning (CR), especially in situations where communicators share a semantic framework or context. Drawing inspiration from linguistic and psychological methodologies inherent in human communication, CR seamlessly integrates into communication systems to implement SNC. The chapter commences with an overview of the SNC model, followed by a comprehensive examination of various CR methods applicable to SNC. These methods encompass single-sided CR, double-sided CR, inverse CR, and information bottleneck CR. A key emphasis is placed on the theoretical background and mathematical analysis of SNC throughout this exploration. The ensuing insights promise to shed light on the potential and possibilities of effectively deploying SNC in practical communication systems.

Original languageEnglish
Title of host publicationFoundations of Semantic Communication Networks
Publisherwiley
Pages181-200
Number of pages20
ISBN (Electronic)9781394247912
ISBN (Print)9781394247882
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

Keywords

  • contextual reasoning (CR)
  • information bottleneck (IB)
  • semantics-native communication (SNC)

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