An optimized communication system based on Markov model and Huffman coding

In life, wireless communication is the most common type of communication, and wireless communication is often subject to a variety of interference factors. This paper aims to improve the performance of the communication system by optimizing the information source characteristics and information sour...

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Bibliographic Details
Published in2024 4th International Symposium on Computer Technology and Information Science (ISCTIS) pp. 248 - 252
Main Author Yan, Wenrui
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.07.2024
Subjects
Bit error rate
Huffman coding
Markov information source
Markov process
Markov processes
Mathematical models
Matlab
Predictive models
Reliability
Source coding
Stability analysis
Wireless communication
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DOI10.1109/ISCTIS63324.2024.10698886

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Summary:In life, wireless communication is the most common type of communication, and wireless communication is often subject to a variety of interference factors. This paper aims to improve the performance of the communication system by optimizing the information source characteristics and information source coding. Specifically, this paper constructs a Markov channel state transition model to model and predict the future communication state. Further, in order to enhance the efficiency and stability of information transmission, this paper proposes to use distortion-free Huffman coding technology for source coding. By improving the coding efficiency, the transmission rate of information is accelerated indirectly. These improvement measures effectively solve the compatibility problem of the effectiveness and reliability of the communication system, and significantly improve the overall performance of the communication system.
DOI:10.1109/ISCTIS63324.2024.10698886