Data-Aided Sensing for Semantic Communication: A Brief Survey

Muhammad Awais

doi:10.20944/preprints202409.0520.v1

Preprint Review Version 1 This version is not peer-reviewed

Version 1 : Received: 5 September 2024 / Approved: 6 September 2024 / Online: 9 September 2024 (02:39:57 CEST)

Recent advancements in semantic communication (SC) have shown the potential to surpass the limitations of the Shannon theorem, by leveraging an understanding of the meaning of data instead of the data itself. In networks, data-aided sensing (DAS) presents a powerful tool that can significantly reduce communication overhead, aligning perfectly with the goals of SC by providing more powerful semantic messages. This survey explores the synergy between DAS and SC and investigates how their convergence can lead to more efficient and effective communication.

semantic communication; Data-aided Sensing; Communication

Engineering, Telecommunications

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Data-Aided Sensing for Semantic Communication: A Brief Survey

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