Open AccessMathematical Models for Simulating Coded Digital Communication: A Comprehensive Tutorial by Big Data Analytics in Cyber-Physical Systems
Author(s) -
Guo Sheng,
Xinya Zhao,
Hangdong Zhang,
Zhihan Lv,
Houbing Song
Publication year - 2016
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.2016.2640308
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
In this paper, we first present the significance of information theory and several commonly referred concepts associated with it. Then, the communication channel models constructed by information theory are briefly introduced. Meanwhile, the channel capacity, as a key role in modeling a channel, is expatiated. In addition, source coding and channel coding are compared and explained with a number of simulations. By reading this paper, the readers are expected to understand the significance of information theory as well as the indispensable roles of source coding and channel coding in a communication system. Furthermore, most of the techniques and fundamentals introduced and analyzed in this paper are feasible for the big data analytics in cyber-physical systems, which pave the way for coding over these newborn systems.
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