Adaptive resource allocation for semantic communication networks
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …
bit quantization (SBQ) compatible with existing wireless communications, where the …
The Pyramid of Captions
We introduce a formal information-theoretic framework for image captioning by regarding it
as a representation learning task. Our framework defines three key objectives: task …
as a representation learning task. Our framework defines three key objectives: task …
Semantic Compression with Information Lattice Learning
H Yu, LR Varshney - arXiv preprint arXiv:2404.03131, 2024 - arxiv.org
Data-driven artificial intelligence (AI) techniques are becoming prominent for learning in
support of data compression, but are focused on standard problems such as text …
support of data compression, but are focused on standard problems such as text …
Semantic Arithmetic Coding using Synonymous Mappings
Recent semantic communication methods explore effective ways to expand the
communication paradigm and improve the system performance of the communication …
communication paradigm and improve the system performance of the communication …
Semantic Huffman Coding using Synonymous Mapping
Semantic communication stands out as a highly promising avenue for future developments
in communications. Theoretically, source compression coding based on semantics can …
in communications. Theoretically, source compression coding based on semantics can …