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Semantic Communication for Cooperative Multi-Task Processing over Wireless Networks

Authors :
Razlighi, Ahmad Halimi
Bockelmann, Carsten
Dekorsy, Armin
Publication Year :
2024

Abstract

In this paper, we have expanded the current status of semantic communication limited to processing one task to a more general system that can handle multiple tasks concurrently. In pursuit of this, we first introduced our definition of the "semantic source", enabling the interpretation of multiple semantics based on a single observation. A semantic encoder design is then introduced, featuring the division of the encoder into a common unit and multiple specific units enabling cooperative multi-task processing. Simulation results demonstrate the effectiveness of the proposed semantic source and the system design. Our approach employs information maximization (infomax) and end-to-end design principles.<br />Comment: This work has been submitted to the IEEE Wireless Communications Letters

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2404.08483
Document Type :
Working Paper