基于区域感知贝叶斯决策的5G超密集异构网络联合垂直切换技术研究

doi:10.3969/j.issn.0372-2112.2018.03.010

电子学报 ›› 2018, Vol. 46 ›› Issue (3): 582-588.DOI: 10.3969/j.issn.0372-2112.2018.03.010

基于区域感知贝叶斯决策的5G超密集异构网络联合垂直切换技术研究

谭晓衡^1,2, 谢朝臣¹, 郭坦¹

1. 重庆大学通信工程学院, 重庆 400044;
2. 重庆生物感知与智能信息处理重点实验室, 重庆 400044

收稿日期:2016-10-28 修回日期:2017-03-06 出版日期:2018-03-25
- 作者简介:
- 谭晓衡,男,1976年生于重庆大足.博士、教授、博士生导师.国家自然科学基金通信评议专家、国家科技奖励评审专家、重庆市科技奖励评审专家.主要研究方向:现代通信技术与系统(扩频技术及码分多址通信、新一代宽带无线移动通信技术、卫星通信等),通信系统中智能化技术等.E-mail:txh@cqu.edu.cn;谢朝臣,男,1975年生于安徽亳州,讲师.现为重庆大学通信与信息系统专业博士研究生.研究方向:新一代通信5G超密集网络、MIMO技术等.E-mail:xie_cc1@163.com;郭坦,男,1988年生于河南周口.现为重庆大学通信与信息系统专业博士研究生,主要从事机器学习、模式识别等方面的研究工作.E-mail:tanguo@cqu.edu.cn
- 基金资助:
- 国家自然科学基 (No.61571069）; 国家自然科学基金青年科学基金 (No.61501065）; 重庆市研究生科研创新项目 (No.CYB15030）; 中央高校基本科研业务费 (No.106112017CDJQJ168817）

Research of Joint Vertical Handoff Technology Based on Area Sensing Bayesian Decision in Ultra-Dense HetNet for 5G

TAN Xiao-heng^1,2, XIE Chao-chen¹, GUO Tan¹

1. College of Communication Engineering, Chongqing University, Chongqing 400044, China;
2. Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, Chongqing University, Chongqing 400044, China

Received:2016-10-28 Revised:2017-03-06 Online:2018-03-25 Published:2018-03-25
- Supported by:
- National Natural Science Foundation of China (No.61571069); Youth Fund of National Natural Science Foundation of China (No.61501065); Chongqing Postgraduate Research and Innovation Project (No.CYB15030); Fundamental Research Funds for the Central Universities (No.106112017CDJQJ168817)

摘要/Abstract

摘要： 针对无线通信异构网络切换中最优接入网的选择问题，现有研究主要集中于解决在两个网络间选择切换，而对于未来5G（5th Generation）通信系统中超密集网络的切换问题研究较少.本文就研究了5G无线通信系统中超密集异构网络的选择切换.文中提出了一种基于区域感知贝叶斯决策的联合垂直切换方式，该方案通过选择超密集异构接入网络的最优切换概率从而解决超密集网络切换问题.通过对移动用户（mobile station）从宏基站进入超密集服务小区，以及在小区内和小区间移动的不同场景进行仿真分析，研究结果表明本文决策方式能够准确地选择要切换的网络，因而该方案能够适用于超密集网络的应用场景.

关键词: 切换, 5G, 超密集网络, 区域感知, 贝叶斯决策

Abstract: The selection problem of an optimal accessing network for wireless heterogeneous networks handover, the existing studies focus mainly on selection handover between two networks. However, few research is done on 5G (5th Generation) ultra-dense network (UDN) handover selection. This paper studies the handoff technology of ultra-dense heterogeneous networks in 5G wireless communication system. We propose a method of joint vertical handoff based on area sensing Bayesian decision. This solution selects the optimal switching probability of each heterogeneous network to deal with ultra-dense network handover. The different scenarios are simulated for a mobile station (MS) which enters an ultra-dense network cell, moves in the cell and crosses the cells. Studies show that Bayesian decision method can accurately select the network, and therefore this solution can be applied to the application scenarios of ultra-dense heterogeneous networks.

Key words: handover, 5G, ultra-dense network, area sensing, Bayesian decision

中图分类号:

TN915.6

谭晓衡, 谢朝臣, 郭坦. 基于区域感知贝叶斯决策的5G超密集异构网络联合垂直切换技术研究[J]. 电子学报, 2018, 46(3): 582-588.

TAN Xiao-heng, XIE Chao-chen, GUO Tan . Research of Joint Vertical Handoff Technology Based on Area Sensing Bayesian Decision in Ultra-Dense HetNet for 5G[J]. Acta Electronica Sinica, 2018, 46(3): 582-588.

参考文献

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基于区域感知贝叶斯决策的5G超密集异构网络联合垂直切换技术研究

Research of Joint Vertical Handoff Technology Based on Area Sensing Bayesian Decision in Ultra-Dense HetNet for 5G

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