Semantic Communications in 6G: Coexistence, Multiple Access, and Satellite Networks

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Abstract

The exponential growth of wireless users and bandwidth constraints necessitates innovative communication paradigms for next-generation networks. Semantic Communication (SemCom) emerges as a promising solution by transmitting extracted meaning rather than raw bits, enhancing spectral efficiency and enabling intelligent resource allocation. This paper explores the integration of SemCom with conventional Bit-based Communication (BitCom) in heterogeneous networks, highlighting key challenges and opportunities. We analyze multiple access techniques, including Non-Orthogonal Multiple Access (NOMA), to support coexisting SemCom and BitCom users. Furthermore, we examine multi-modal SemCom frameworks for handling diverse data types and discuss their applications in satellite networks, where semantic techniques mitigate bandwidth limitations and harsh channel conditions. Finally, we identify future directions for deploying semantic-aware systems in 6G and beyond.

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Satellites, Signal to Noise Ratio, Bandwidth, Routing, Feature Extraction, 6G Mobile Communication, NOMA, Data Mining, Wireless Communication, Semantic Communication, Semantic Communication (SEMCOM), 6G Networks, Non-Orthogonal Multiple Access (NOMA), Deep Learning for Communications, Satellite Communication

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9

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4

Start Page

58

End Page

64
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Scopus : 2

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