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Analysis on D2D Heterogeneous Networks with State-Dependent Priority Traffic

Guangjun Liang1,2, Jianfang Xin3,*, Linging Xia1, Xueli Ni1,4, Yi Cao5

1 Department of Computer Information and Cyber Security, Jiangsu Police Institute, Nanjing, China
2 National and Local Joint Engineering Laboratory of Radio Frequency Integration and Microassembly Technology, Nanjing University of Posts and Telecommunications, Nanjing, China
3 School of Intelligent Engineering, Nanjing Institute of Railway Technology, Nanjing, China
4 Jiangsu Province Electronic Data Forensics and Analysis Engineering Research Center, Nanjing, China
5 Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, N9B 3P4, Canada

* Corresponding Author: Jianfang Xin. Email: email

Computers, Materials & Continua 2023, 74(2), 2981-2998. https://doi.org/10.32604/cmc.2023.028597

Abstract

In this work, we consider the performance analysis of state dependent priority traffic and scheduling in device to device (D2D) heterogeneous networks. There are two priority transmission types of data in wireless communication, such as video or telephone, which always meet the requirements of high priority (HP) data transmission first. If there is a large amount of low priority (LP) data, there will be a large amount of LP data that cannot be sent. This situation will cause excessive delay of LP data and packet dropping probability. In order to solve this problem, the data transmission process of high priority queue and low priority queue is studied. Considering the priority jump strategy to the priority queuing model, the queuing process with two priority data is modeled as a two-dimensional Markov chain. A state dependent priority jump queuing strategy is proposed, which can improve the discarding performance of low priority data. The quasi birth and death process method (QBD) and fixed point iteration method are used to solve the causality, and the steady-state probability distribution is further obtained.Then, performance parameters such as average queue length, average throughput, average delay and packet dropping probability for both high and low priority data can be expressed. The simulation results verify the correctness of the theoretical derivation. Meanwhile, the proposed priority jump queuing strategy can significantly improve the drop performance of low-priority data.

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Cite This Article

G. Liang, J. Xin, L. Xia, X. Ni and Y. Cao, "Analysis on d2d heterogeneous networks with state-dependent priority traffic," Computers, Materials & Continua, vol. 74, no.2, pp. 2981–2998, 2023. https://doi.org/10.32604/cmc.2023.028597



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