Features Disentangled Semantic Broadcast Communication Networks
Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao,, Yuanming Shi, Shiyin Li, and Naofal Al-Dhahir

TL;DR
This paper introduces a robust multi-user semantic broadcast communication framework that enhances transmission efficiency through feature disentanglement, theoretical analysis, and a real-time hardware prototype, advancing multi-user semantic communication technology.
Contribution
It proposes a practical, robust multi-user semantic broadcast framework with feature selection and disentanglement, including theoretical metrics and a real-time hardware implementation.
Findings
Significant improvement in transmission efficiency demonstrated.
Theoretical metrics for compression and rate regions established.
First hardware proof-of-concept for semantic broadcast communication.
Abstract
Single-user semantic communications have attracted extensive research recently, but multi-user semantic broadcast communication (BC) is still in its infancy. In this paper, we propose a practical robust features-disentangled multi-user semantic BC framework, where the transmitter includes a feature selection module and each user has a feature completion module. Instead of broadcasting all extracted features, the semantic encoder extracts the disentangled semantic features, and then only the users' intended semantic features are selected for broadcasting, which can further improve the transmission efficiency. Within this framework, we further investigate two information-theoretic metrics, including the ultimate compression rate under both the distortion and perception constraints, and the achievable rate region of the semantic BC. Furthermore, to realize the proposed semantic BC…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Signal Modulation Classification · Telecommunications and Broadcasting Technologies · Advanced Data and IoT Technologies
MethodsFeature Selection
