Information conductivity: Universal performance measure for semantic communications

Zijian Liang, Niu Kai, Zhang Ping
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Abstract

As a novel paradigm, semantic communication provides an effective solution for breaking through the future development dilemma of classical communication systems. However, it remains an unsolved problem of how to measure the information transmission capability for a given semantic communication method and subsequently compare it with the classical communication method. In this paper, we first present a review of the semantic communication system, including its system model and the two typical coding and transmission methods for its implementations. To address the unsolved issue of the information transmission capability measure for semantic communication methods, we propose a new universal performance measure called Information Conductivity. We provide the definition and the physical significance to state its effectiveness in representing the information transmission capabilities of the semantic communication systems and present elaborations including its measure methods, degrees of freedom, and progressive analysis. Experimental results in image transmission scenarios validate its practical applicability.
信息传导性:语义通信的通用性能衡量标准
语义通信作为一种新模式,为突破传统通信系统的未来发展困境提供了有效的解决方案。然而,如何衡量特定语义通信方法的信息传输能力,并将其与经典通信方法进行比较,仍然是一个尚未解决的问题。在本文中,我们首先对语义通信系统进行了回顾,包括其系统模型及其实现的两种典型编码和传输方法。针对语义通信方法中尚未解决的信息传输能力度量问题,我们提出了一种新的通用性能度量方法--信息传导性。我们给出了它的定义和物理意义,说明它能有效地代表语义通信系统的信息传输能力,并对其测量方法、自由度和渐进分析进行了阐述。图像传输场景中的实验结果验证了其实际应用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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