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.

我们扩展了当前语义通信的状况，使其能够同时处理多个任务。我们首先介绍了我们关于 “语义源” 的定义，其能够基于单个观察解释多个语义。然后介绍了一个语义编码器设计，其中编码器分为通用单元和多个特定单元，实现了协同多任务处理。模拟结果证明了提出的语义源和系统设计的有效性。我们的方法采用信息最大化和端到端设计原则。