  In-band full-duplex (IBFD) is a theoretically effective solution to increase
the overall throughput for the future wireless communications system by
enabling transmission and reception over the same time-frequency resources.
However, reliable source reconstruction remains a great challenge in the
practical IBFD systems due to the non-ideal elimination of the
self-interference and the inherent limitations of the separate source and
channel coding methods. On the other hand, artificial intelligence-enabled
semantic communication can provide a viable direction for the optimization of
the IBFD system. This article introduces a novel IBFD paradigm with the
guidance of semantic communication called semantics-division duplexing (SDD).
It utilizes semantic domain processing to further suppress self-interference,
distinguish the expected semantic information, and recover the desired sources.
Further integration of the digital and semantic domain processing can be
implemented so as to achieve intelligent and concise communications. We present
the advantages of the SDD paradigm with theoretical explanations and provide
some visualized results to verify its effectiveness.
