Information Measurement of Cognitive Communication Systems: The Introduction of Negative Cognitive Information | Zendy

Qihui Wu | Zendy; Lizhen Chen | Zendy; Zheng Wang | Zendy; Guoru Ding | Zendy; Linyuan Zhang | Zendy; Xiaofei Zhang | Zendy

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Information Measurement of Cognitive Communication Systems: The Introduction of Negative Cognitive Information

Author(s) -

Qihui Wu,

Lizhen Chen,

Zheng Wang,

Guoru Ding,

Linyuan Zhang,

Xiaofei Zhang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2842245

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

With rapid developments of artificial intelligence, big data, and data mining, the intelligence-based cognitive communication system has received increasing research attentions, where the traditional communication is strengthened through a real time cognition system over the transmission environment. In this paper, the measurement of cognitive information in cognition systems is investigated. Different from classical Shannon’s information theory that only considers information as a probabilistic quantity irrespective of the meaning it conveys, we also take the correctness of cognition into account in the measurement of cognitive information, where the concept of negative cognitive information is introduced for the first time. Specifically, the notion of average cognitive mutual information amount is proposed as a measurement to quantify the cognitive information in average. Then, the concept of cognitive capacity of a given cognition system is defined in terms of the average cognitive mutual information amount, where the maximization or minimization is with respect to the cognitive channel between input and output of a cognition system. Finally, a practical cognitive communication system is presented, where the validity and necessity of the proposed measurement for cognitive information is confirmed.

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