Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ

نویسندگان

چکیده

Semantic communication has witnessed a great progress with the development of natural language processing (NLP) and deep learning (DL). Although existing semantic technologies can effectively reduce errors in interpretation, most these solutions adopt fixed bit length structure, along rigid transmission scheme, which is inefficient lacks scalability when faced different meanings signal-to-noise ratio (SNR) conditions. In this paper, we explore impact adaptive lengths on coding (SC) under various channel First, propose progressive hybrid automatic repeat request (HARQ) schemes that utilize incremental knowledge (IK) to simultaneously cost error. On top this, design novel encoding solution multi-bit selection. fashion, transmitter employs policy network decide appropriate rate, so as secure correct information delivery at minimal bits. Moreover, specific denoiser further introduced encountered process according characteristics context. Extensive simulation results have been conducted verify effectiveness proposed solution.

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ژورنال

عنوان ژورنال: IEEE open journal of the Communications Society

سال: 2022

ISSN: ['2644-125X']

DOI: https://doi.org/10.1109/ojcoms.2022.3189023