In-Band Full-Duplex System for Semantic Communication
Driven by the severe self-interference (SI) in in-band full-duplex (IBFD) technologies, which creates extremely harsh communication environments, addressing this challenge has become a critical research focus. Semantic communication technologies, meanwhile, exhibit significant advantages in constrained environments by enabling efficient information transmission with reduced data volume and optimized bandwidth utilization. This article proposes an in-band full-duplex semantic communication (IBFD-SC), which combines IBFD with semantic communication to save transmission volume and improve spectral efficiency. The system incorporates a semantic importance mechanism, which is merged with radio frequency (RF) communication links. A semantic importance mapping module is introduced to map semantic symbols to baseband signals, considering both channel conditions and the significance of semantic symbols. Additionally, a nonlinear interference cancellation method is designed to eliminate SI, ensuring the integrity and reliability of key semantic information during communication. Experimental results demonstrate that the integration of semantic importance effectively mitigates interference and improves communication performance, particularly under low signal to interference plus noise ratio (SINR) conditions.
Authors
- Rui Meng (ORCID: https://orcid.org/0000-0003-0486-1409)
- Haotai Liang (ORCID: https://orcid.org/0000-0003-2733-4353)
- Xiaodong Xu (ORCID: https://orcid.org/0000-0003-4245-5989)
- Ping Zhang (ORCID: https://orcid.org/0000-0002-0269-104X)
- Chen Dong (ORCID: https://orcid.org/0000-0002-3443-1453)
- Mengran Shi
Institutions
- Beijing University of Posts and Telecommunications (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jiot.2025.3598151
- Primary Topic
- Full-Duplex Wireless Communications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China