Semantic communications with variable-length coding for extended reality
File(s)
Author(s)
Zhang, Bowen
Qin, Zhijin
Li, Geoffrey Ye
Type
Journal Article
Abstract
Wireless extended reality (XR) has attracted wide attentions as a promising technology to improve users' mobility and quality of experience. However, the ultra-high data rate requirement of wireless XR has hindered its development for many years. To overcome this challenge, we develop a semantic communication framework, where semantically-unimportant information is highly-compressed or discarded in semantic coders, significantly improving the transmission efficiency. Besides, considering the fact that some source content may have less amount of semantic information or have higher tolerance to channel noise, we propose a universal variable-length semantic-channel coding method. In particular, we first use a rate allocation network to estimate the best code length for semantic information and then adjust the coding process accordingly. By adopting some proxy functions, the whole framework is trained in an end-to-end manner. Numerical results show that our semantic system significantly outperforms traditional transmission methods and the proposed variable-length coding scheme is superior to the fixed-length coding methods.
Date Issued
2023-09-01
Date Acceptance
2023-07-13
Citation
IEEE Journal of Selected Topics in Signal Processing, 2023, 17 (5), pp.1038-1051
ISSN
1932-4553
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
1038
End Page
1051
Journal / Book Title
IEEE Journal of Selected Topics in Signal Processing
Volume
17
Issue
5
Copyright Statement
© 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
License URL
Publication Status
Published
Date Publish Online
2023-08-01