Research on the Prediction of the Number of Cell Users Based on Markov Model in C-RAN Network

XU Chang-biao; ZHU Lian-jun

doi:10.13756/j.gtxyj.2016.04.020

您当前的位置：

首页 >

文章列表页 >

Research on the Prediction of the Number of Cell Users Based on Markov Model in C-RAN Network

- Research on the Prediction of the Number of Cell Users Based on Markov Model in C-RAN Network
- Study on Optical communication Issue 4, Pages: 67-71(2016)
- 作者机构：
  
  1. 重庆邮电大学光电工程学院
  2. 重庆邮电大学通信与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2016.04.020
  CLC： TN92
- Published：2016，
扫描看全文
[1]徐昌彪,朱联军.C-RAN中基于Markov模型的小区用户数预测[J].光通信研究,2016(04):67-71.

XU Chang-biao, ZHU Lian-jun. Research on the Prediction of the Number of Cell Users Based on Markov Model in C-RAN Network. [J]. (4):67-71(2016)
[1]徐昌彪,朱联军.C-RAN中基于Markov模型的小区用户数预测[J].光通信研究,2016(04):67-71. DOI： 10.13756/j.gtxyj.2016.04.020.

XU Chang-biao, ZHU Lian-jun. Research on the Prediction of the Number of Cell Users Based on Markov Model in C-RAN Network. [J]. (4):67-71(2016) DOI： 10.13756/j.gtxyj.2016.04.020.

摘要

基于排队论和Markov转移模型

对C-RAN（绿色无线接入网）中小区簇所包含所有小区的用户数的变化规律进行预测研究。提出了一种综合考虑历史规律及当前趋势的预测方案

对各小区不同时刻的用户到达率和离开率进行预测。通过求Markov转移模型的瞬态解

得出各小区用户数在不同时刻的统计平均值。在考虑预测误差和系统开销的情况下

求解最优的预测周期。仿真结果表明

较优的预测周期能客观反映实际环境中用户数的变化规律。

Abstract

In this paper

the variation of the number of cell’s users within the cluster is studied based on Queuing theory and Markov transition model in C-RAN network.We proposes a prediction scheme to calculate the cell’s arriving rate and leaving rate by considering the history regular and the current trend.By solving the transient solution of the Markov transition model

the statistical average of the every cell’s users is achieved at different times.Considering the prediction error and the system overhead

the optimal period of the prediction is obtained.The simulation result shows that better prediction period can accurately reflect the variation of the users in the realistic environment.

关键词

绿色无线接入网马尔科夫转移模型预测排队论最优预测周期变化规律

Keywords

C-RANMarkov transition modelpredictqueuing theorythe optical prediction periodvariation

references

更多指标>

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Performance analysis of burst packages transfer delay in optical burst switched ring networks

Related Author

No data

Related Institution

School of Electric and Electronic Engineering,North China Electric Power University

⁰