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Communications and Networking. 18th EAI International Conference, ChinaCom 2023, Sanya, China, November 18–19, 2023, Proceedings

Research Article

Analyzing Average Age of Information in CRDSA Protocol with Access-Banned Policy

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-67162-3_15,
        author={Ziru Wang and Boming Cheng and Zheng Yang and Jie Zeng},
        title={Analyzing Average Age of Information in CRDSA Protocol with Access-Banned Policy},
        proceedings={Communications and Networking. 18th EAI International Conference, ChinaCom 2023, Sanya, China, November 18--19, 2023, Proceedings},
        proceedings_a={CHINACOM},
        year={2024},
        month={8},
        keywords={Massive machine-type communication Access-banned policy CRDSA protocol Age of information},
        doi={10.1007/978-3-031-67162-3_15}
    }
    
  • Ziru Wang
    Boming Cheng
    Zheng Yang
    Jie Zeng
    Year: 2024
    Analyzing Average Age of Information in CRDSA Protocol with Access-Banned Policy
    CHINACOM
    Springer
    DOI: 10.1007/978-3-031-67162-3_15
Ziru Wang1, Boming Cheng1, Zheng Yang1, Jie Zeng1,*
  • 1: School of Cyberspace Science and Technology, Beijing Institute of Technology
*Contact email: zengjie@bit.edu.cn

Abstract

This paper focuses on the analysis of the average age of information (AAoI) of the Contention Resolution Diversity Slotted ALOHA (CRDSA) protocol based on the access-banned policy in massive machine-type communication (mMTC) scenarios. The CRDSA system is modeled as a bipartite graph, and graph theory methods are used to analyze the system performance. At the same time, a comprehensive formula for calculating the packet recovery rate (PRR) in the CRDSA system is derived, considering the spectral characteristics of the bipartite graph. This formula can quantitatively evaluate the system’s ability to successfully decode transmitted data packets. Based on this, the age of information (AoI) in the CRDSA system based on the access-banned policy is studied. The sparse access model and the sampling method at the beginning of each frame are considered, and the expression of the AAoI of the whole system is given. The analysis process considers the probabilities of successful and failed decoding and the impact of decoding on delay, thus gaining a deep understanding of the freshness of information in the CRDSA system. The research results of this paper are of great significance for optimizing the design of the CRDSA protocol based on the access-banned policy. The research results can improve the reliability and efficiency of system performance in mMTC scenarios.

Keywords
Massive machine-type communication, Access-banned policy, CRDSA protocol, Age of information
Published
2024-08-06
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-67162-3_15
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