Rethinking Modern Communication from Semantic Coding to Semantic Communication

Modern communications are usually designed to pursue a higher bit-level precision and fewer bits required to transmit a message. This article rethinks these two major features and introduces the concept and advantage of semantics that characterizes a new kind of semantics-aware communication mechanism, incorporating both the semantic encoding and the semantic communication problem. Within the unified framework, we analyze the underlying defects of existing semantics-aware techniques and establish a confidence-based distillation mechanism for the joint semantics-noise coding (JSNC) problem, and a reinforcement learning (RL)-powered semantic communication paradigm that endows a system the ability to convey the semantics instead of pursuing the bit level accuracy. On top of these technical contributions, this work provides a new insight to understand how the semantics are processed and represented in a semantics-aware coding and communication system, and verifies the significant benefits of doing so.