TY - GEN
T1 - Analyzing Average Age of Information in CRDSA Protocol with Access-Banned Policy
AU - Wang, Ziru
AU - Cheng, Boming
AU - Yang, Zheng
AU - Zeng, Jie
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Access-banned policy
KW - Age of information
KW - CRDSA protocol
KW - Massive machine-type communication
UR - http://www.scopus.com/inward/record.url?scp=85201975221&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-67162-3_15
DO - 10.1007/978-3-031-67162-3_15
M3 - Conference contribution
AN - SCOPUS:85201975221
SN - 9783031671616
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 233
EP - 246
BT - Communications and Networking - 18th EAI International Conference, ChinaCom 2023, Proceedings
A2 - Gao, Feifei
A2 - Wu, Jun
A2 - Li, Yun
A2 - Gao, Honghao
A2 - Wang, Shangguang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th EAI International Conference on Communications and Networking in China, ChinaCom 2023
Y2 - 18 November 2023 through 19 November 2023
ER -