Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels
This work addresses a specific scenario in wireless communications for multi-user systems, representing an incremental advancement in semantic communication methods.
The paper tackles the problem of semantic communications over degraded broadcast channels for wireless image transmission by designing a multi-user semantic fusion approach that dynamically balances performance between users based on channel state information, and experimental results show it outperforms traditional broadcasting schemes.
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. In the proposed method, the transmitter extracts semantic features for two users separately. It then effectively fuses these semantic features 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 the performance between the two users. 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.