Accelerated rare event simulation with Markov chain modelling in wireless communication networks

Izabella Lokshina; Michael R. Bartolacci

首页> 外文期刊>International journal of mobile network design and innovation >Accelerated rare event simulation with Markov chain modelling in wireless communication networks

【24h】

Accelerated rare event simulation with Markov chain modelling in wireless communication networks

机译：无线通信网络中的马尔可夫链模型加速罕见事件仿真

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The paper recommends an effective approach to estimate probability of buffer overflow in wireless communication networks.The buffer overflow probability in queuing systems is defined as a rare event and can be estimated using rare event simulation with Markov chains.Two-node queuing networks are considered in this paper; and an event of buffer overflow at the second node is studied.Two efficient rare event simulation algorithms, based on the importance sampling and cross-entropy methods, are developed and applied to accelerate the overflow probability simulation with Markov chain modelling.Numerical examples and simulation results are provided.

机译：本文提出了一种有效的方法来估计无线通信网络中的缓冲区溢出概率。排队系统中的缓冲区溢出概率被定义为罕见事件，可以使用马尔可夫链的罕见事件仿真来估计。这篇报告;基于重要性抽样和交叉熵方法，开发了两种有效的稀有事件仿真算法，并将其应用于通过马尔可夫链建模加速溢出概率仿真。数值示例和仿真提供了结果。

著录项

来源
《International journal of mobile network design and innovation》 |2012年第4期|185-191|共7页
作者
Izabella Lokshina; Michael R. Bartolacci;
展开▼
作者单位

Management,Marketing and Information Systems,SUNY-Oneonta,NY 13820,USA;

Information Sciences and Technology Penn State University-Berks,PA 19610,USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
wireless telecommunications; queuing systems; buffer overflow probability; rare event simulation; markov chain modelling; change of measure; importance sampling algorithm; cross-entropy algorithm; accelerated rare event simulation;

机译：无线通讯;排队系统;缓冲区溢出概率;罕见事件模拟;马可夫链建模;更改尺寸;重要性抽样算法;交叉熵算法;加速罕见事件模拟;

相似文献

外文文献
中文文献
专利

1. A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events [J] . Bhatnagar Shalabh, Borkar Vivek S., Akarapu Madhukar Journal of machine learning research . 2006,第Oct期

机译：基于仿真的稀有事件马尔可夫链遍历控制算法
2. Simulation of rare events in communications networks [J] . Townsend J.K., Haraszti Z. IEEE Communications Magazine . 1998,第8期

机译：模拟通信网络中的稀有事件
3. Integration of Markov random field with Markov chain for efficient event detection using wireless sensor network [J] . Chen Xianda, Kim Kyung Tae, Youn Hee Yong Computer networks . 2016,第OCTa24期

机译：马尔可夫随机场与马尔可夫链的集成，可使用无线传感器网络进行有效的事件检测
4. Algorithms to accelerate rare event simulation with Markov chain modeling in wireless telecommunications networks [C] . Lokshina Izabella 2011 Wireless Telecommunications Symposium . 2011

机译：在无线电信网络中使用马尔可夫链模型加速稀有事件仿真的算法
5. Markov chains with applications to channel modeling and performance analysis of wireless communication systems. [D] . Yang, Hongchuan. 2003

机译：马尔可夫链与无线通信系统的信道建模和性能分析相关的应用程序。
6. Markov Chain Model-Based Optimal Cluster Heads Selection for Wireless Sensor Networks [O] . Gulnaz Ahmed, Jianhua Zou, Xi Zhao, 2017

机译：基于马尔可夫链模型的无线传感器网络最优簇头选择
7. Simulation of Rare Events in Communications Networks [O] . J. Keith Townsend, North Carolina, Zsolt Haraszti, 1998

机译：通信网络中罕见事件的模拟

Accelerated rare event simulation with Markov chain modelling in wireless communication networks

摘要

著录项

相似文献

相关主题

期刊订阅