Lightweight Joint Source-Channel Coding for Semantic Communications

Semantic communications, which aim to effectively convey the meaning of messages (such as text and images) rather than transmitting the exact messages themselves, have garnered widespread attention from industry and academia. A suitable joint source-channel coding (JSCC) scheme is crucial for semant...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE communications letters Vol. 27; no. 12; p. 1
Main Authors:	Jia, Yunjian, Huang, Zhen, Luo, Kun, Wen, Wanli
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Coding Communication Communications systems Decoding deep neural network joint source-channel coding Lightweight Mathematical models Messages Neural networks Parameters Receivers Reliability Semantic communications Semantics Transformer Transformers Transmitters
ISSN:	1089-7798, 1558-2558
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!