Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications
This work addresses network efficiency and reliability for 6G wireless communications, presenting an incremental advancement in relaying techniques.
The paper tackles the problem of improving cooperative communications in 6G networks by proposing a semantic-forward relaying framework that extracts and transmits semantic features, which reduces payload and enhances robustness against errors, with simulations showing it effectively improves recovered information quality even in bad channel conditions.
This letter proposes a novel relaying framework, semantic-forward (SF), for cooperative communications towards the sixth-generation (6G) wireless networks. The SF relay extracts and transmits the semantic features, which reduces forwarding payload, and also improves the network robustness against intra-link errors. Based on the theoretical basis for cooperative communications with side information and the turbo principle, we design a joint source-channel coding algorithm to iteratively exchange the extrinsic information for enhancing the decoding gains at the destination. Surprisingly, simulation results indicate that even in bad channel conditions, SF relaying can still effectively improve the recovered information quality.