Rethinking Modern Communication from Semantic Coding to Semantic Communication

Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting message. This article rethinks these two major features introduces the concept advantage of semantics that characterizes new kind semantics-aware communication framework, incorporating both semantic encoding problem. After analyzing underlying defects existing techniques, we establish confidence-based distillation mechanism for joint semantics-noise coding (JSNC) problem reinforcement learning (RL)-powered paradigm endows system ability convey instead pursuing bit level accuracy. On top technical contributions, this work provides insight understand how processed represented in system, verifies significant benefits doing so. Targeted on next generation's communication, some critical concerns open challenges such as information overhead, security implementation cost also discussed envisioned.