论文标题
语义感知的源源编码在状态更新系统中
Semantics-Aware Source Coding in Status Update Systems
论文作者
论文摘要
我们考虑了一个通信系统，其中目的地从观察物理过程的信息源接收状态更新。发射器执行语义授权的过滤，作为仅将最重要的样本发送给接收器的一种手段。作为第一步，我们探索了一个简单的策略，其中发射器选择仅编码观察到的随机现象最不常见的实现的一小部分，从而将其余的现象视为不详细信息。对于此及时的源编码问题，我们以最大化语义感知的实用程序功能并最大程度地降低了二次平均长度成本，从而得出了最佳代码字的长度。我们的数值结果表明，以不同的到达率并编码成本并证实语义过滤的最佳更新数量，从而在及时交付重要更新方面会导致更高的性能。
We consider a communication system in which the destination receives status updates from an information source that observes a physical process. The transmitter performs semantics-empowered filtering as a means to send only the most "important" samples to the receiver in a timely manner. As a first step, we explore a simple policy where the transmitter selects to encode only a fraction of the least frequent realizations of the observed random phenomenon, treating the remaining ones as not informative. For this timely source coding problem, we derive the optimal codeword lengths in the sense of maximizing a semantics-aware utility function and minimizing a quadratic average length cost. Our numerical results show the optimal number of updates to transmit for different arrival rates and encoding costs and corroborate that semantic filtering results in higher performance in terms of timely delivery of important updates.
