In this paper, we have expanded the current status of semantic communication limited to processing one task to a more general system that can handle multiple tasks concurrently. In pursuit of this, we first introduced our definition of the "semantic source", enabling the interpretation of multiple semantics based on a single observation. A semantic encoder design is then introduced, featuring the division of the encoder into a common unit and multiple specific units enabling cooperative multi-task processing. Simulation results demonstrate the effectiveness of the proposed semantic source and the system design. Our approach employs information maximization (infomax) and end-to-end design principles.

翻译：本文拓展了当前仅限于处理单一任务的语义通信现状，提出了一种能够并发处理多个任务的更通用系统。为此，我们首先引入了“语义信源”的定义，使得能够基于单一观测解释多种语义。随后提出了一种语义编码器设计，其特点是将编码器划分为一个公共单元和多个特定单元，以实现协作多任务处理。仿真结果验证了所提语义信源及系统设计的有效性。我们的方法采用了信息最大化原则与端到端设计准则。