Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels

Degraded broadcast channels (DBC) are a typical multiuser communication scenario, Semantic communications over DBC still lack in-depth research. In this paper, we design a semantic communications approach based on multi-user semantic fusion for wireless image transmission over DBC. The transmitter extracts semantic features for two users separately and then effectively fuses them for broadcasting by leveraging semantic similarity. Unlike traditional allocation of time, power, or bandwidth, the semantic fusion scheme can dynamically control the weight of the semantic features of the two users to balance their performance. Considering the different channel state information (CSI) of both users over DBC, a DBC-Aware method is developed that embeds the CSI of both users into the joint source-channel coding encoder and fusion module to adapt to the channel. Experimental results show that the proposed system outperforms the traditional broadcasting schemes.

Authors

Institutions

Publication Details

Journal
China Communications
Published
2024-10-01
DOI
https://doi.org/10.23919/jcc.fa.2023-0766.202410
Citations
7
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
2.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels

Meixia Tao, Bin Xia, Zhiyong Chen, Wenjun Zhang et al.
7 citations
China Communications
Telecommunications and Broadcasting Technologies
2.24
article

Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels

Meixia Tao, Bin Xia, Zhiyong Chen, Wenjun Zhang, Tong Wu
article en
7 citations

Abstract

Degraded broadcast channels (DBC) are a typical multiuser communication scenario, Semantic communications over DBC still lack in-depth research. In this paper, we design a semantic communications approach based on multi-user semantic fusion for wireless image transmission over DBC. The transmitter extracts semantic features for two users separately and then effectively fuses them for broadcasting by leveraging semantic similarity. Unlike traditional allocation of time, power, or bandwidth, the semantic fusion scheme can dynamically control the weight of the semantic features of the two users to balance their performance. Considering the different channel state information (CSI) of both users over DBC, a DBC-Aware method is developed that embeds the CSI of both users into the joint source-channel coding encoder and fusion module to adapt to the channel. Experimental results show that the proposed system outperforms the traditional broadcasting schemes.

China CommunicationsVol. 21(10)
Shanghai Jiao Tong University (CN), Shandong Jiaotong University (CN)
Openalex Percentile: Top 10%
Telecommunications and Broadcasting Technologies
2.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels — Meixia Tao, Bin Xia, et al. · China Communications (2024) | TGRS Research Map | TGRS