Chen Min, Hao Yixue, Gharavi Hamid, Leung Victor C M
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
National Institute of Standards and Technology, USA.
Inf Sci (N Y). 2019;505. doi: 10.1016/j.ins.2019.07.046.
From a traditional point of view, the value of information does not change during transmission. The Shannon information theory considers information transmission as a statistical phenomenon for measuring the communication channel capacity. However, in modern communication systems, information is spontaneously embedded with a cognitive link during the transmission process, which requires a new measurement that can incorporate continuously changing information values. In this paper, we introduce the concept of cognitive information value and a method of measuring such information. We first describe the characteristics of cognitive information followed by an introduction of the concept of cognitive information in measuring information popularity. The new measurement is based on the mailbox principle in the information value chain. This is achieved by encapsulating the information as a mailbox for transmission where the cognition is continuously implemented during the transmission process. Finally, we set up a cognitive communication system based on a combination of the traditional communication system and cognitive computing. Experimental results attest to the impact of incorporating cognitive value in the performance of 5G networks.
从传统观点来看，信息的价值在传输过程中不会改变。香农信息论将信息传输视为一种用于测量通信信道容量的统计现象。然而，在现代通信系统中，信息在传输过程中会自发地嵌入认知链接，这就需要一种能够纳入不断变化的信息值的新测量方法。在本文中，我们引入了认知信息价值的概念以及测量此类信息的方法。我们首先描述认知信息的特征，接着介绍认知信息在测量信息受欢迎程度方面的概念。这种新的测量基于信息价值链中的邮箱原理。这是通过将信息封装为用于传输的邮箱来实现的，在传输过程中认知会持续进行。最后，我们基于传统通信系统与认知计算的结合建立了一个认知通信系统。实验结果证明了纳入认知价值对5G网络性能的影响。
