Performance analysis of wireless communication networks with threshold activation process and interference signals

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Communication Networks and Distributed Systems Pub Date : 2020-05-01 DOI:10.1504/IJCNDS.2020.10022392

Xiangran Yu, Zhanyou Ma, Shanshan Guo, Li Chen

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引用次数: 3

Abstract

In order to reduce energy consumption in wireless communication networks, the sleep mode in the energy saving strategy and the threshold activation process of the base station are considered. Combining with practice, the existence of interference signals and possible errors in the transmission of data packets are considered. At the same time, considering that the wireless communication network system has two channels and one of them is incompletely reliable, a queuing model of repairable M/M/2 multiple working vacations with start-up period, negative customers, feedback and N-strategy is established. Using quasi birth-and-death process (QBD) and Gauss-Seidel iterative method, the expressions of the average delay of the data packet and other performance indicators are given. Then, using MATLAB software for numerical analysis, the influence of system parameters on the average delay and other performance indicators is analysed. Finally, the social optimal parameters are found by constructing benefit functions.

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具有阈值激活过程和干扰信号的无线通信网络性能分析

为了降低无线通信网络的能耗，考虑了节能策略中的睡眠模式和基站的阈值激活过程。结合实际，考虑了数据包传输中干扰信号的存在和可能的错误。同时，考虑到无线通信网络系统有两个信道，其中一个信道不完全可靠，建立了具有启动期、负客户、反馈和N策略的可修复M/M/2多工作假期的排队模型。利用准生灭过程（QBD）和高斯-塞德尔迭代方法，给出了数据包平均延迟和其他性能指标的表达式。然后，利用MATLAB软件进行数值分析，分析了系统参数对平均时延等性能指标的影响。最后，通过构建效益函数，得到社会最优参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Communication Networks and Distributed Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.50

自引率

46.20%

发文量

期刊介绍： IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.