English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Semantic communication has witnessed a great progress with the development ofnatural language processing (NLP) and deep learning (DL). Although existingsemantic communication technologies can effectively reduce errors in semanticinterpretation, most of these solutions adopt a fixed bit length structure,along with a rigid transmission scheme, which is inefficient and lacksscalability when faced with different meanings and signal-to-noise ratio (SNR)conditions. In this paper, we explore the impact of adaptive bit lengths onsemantic coding (SC) under various channel conditions. First, we proposeprogressive semantic hybrid automatic repeat request (HARQ) schemes thatutilize incremental knowledge (IK) to simultaneously reduce the communicationcost and semantic error. On top of this, we design a novel semantic encodingsolution with multi-bit length selection. In this fashion, the transmitteremploys a policy network to decide the appropriate coding rate, so as to securethe correct information delivery at the cost of minimal bits. Moreover, aspecific denoiser is further introduced to reduce the semantic errorsencountered in the transmission process according to the semanticcharacteristics of context. Extensive simulation results have been conducted toverify the effectiveness of the proposed solution.

Adaptive Bit Rate Control in Semantic Communication with Incremental Knowledge-based HARQ