Markov prediction based handover in dynamic ultra dense network

In order to solve the problem of the communication and computational problems of large-scale machine communication in an ultra-dense cellular network,a Markov prediction based handover scheme (MPHS) was proposed.Firstly,a kind of heterogeneous network design with semi-structure and central control w...

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Main Authors: Qingmin MENG, Yuanyuan ZHAO, Wenjing YUE, Yulong ZOU, Xiaoming WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-10-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018225/
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author Qingmin MENG
Yuanyuan ZHAO
Wenjing YUE
Yulong ZOU
Xiaoming WANG
author_facet Qingmin MENG
Yuanyuan ZHAO
Wenjing YUE
Yulong ZOU
Xiaoming WANG
author_sort Qingmin MENG
collection DOAJ
description In order to solve the problem of the communication and computational problems of large-scale machine communication in an ultra-dense cellular network,a Markov prediction based handover scheme (MPHS) was proposed.Firstly,a kind of heterogeneous network design with semi-structure and central control was considered which contains the densely deployed virtual nodes and thus realized a low cost and efficient coverage.The network can dynamically adjust the access point according to the user's mobility and network traffic.Secondly,a Markov model was constructed,and the idea of load-aware was introduced.By weighing the signal quality and the cell load,the user's next optimal access point was effectively predicted.The simulation results show the feasibility and effectiveness of the proposed scheme for cell handover predicting.
format Article
id doaj-art-245f6e37e9154852b0640e3e4c0aec83
institution Kabale University
issn 1000-436X
language zho
publishDate 2018-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-245f6e37e9154852b0640e3e4c0aec832025-01-14T07:15:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-10-013916617459721396Markov prediction based handover in dynamic ultra dense networkQingmin MENGYuanyuan ZHAOWenjing YUEYulong ZOUXiaoming WANGIn order to solve the problem of the communication and computational problems of large-scale machine communication in an ultra-dense cellular network,a Markov prediction based handover scheme (MPHS) was proposed.Firstly,a kind of heterogeneous network design with semi-structure and central control was considered which contains the densely deployed virtual nodes and thus realized a low cost and efficient coverage.The network can dynamically adjust the access point according to the user's mobility and network traffic.Secondly,a Markov model was constructed,and the idea of load-aware was introduced.By weighing the signal quality and the cell load,the user's next optimal access point was effectively predicted.The simulation results show the feasibility and effectiveness of the proposed scheme for cell handover predicting.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018225/ultra-dense cellular networklarge-scale machine communicationMarkov modelload-awarehandover
spellingShingle Qingmin MENG
Yuanyuan ZHAO
Wenjing YUE
Yulong ZOU
Xiaoming WANG
Markov prediction based handover in dynamic ultra dense network
Tongxin xuebao
ultra-dense cellular network
large-scale machine communication
Markov model
load-aware
handover
title Markov prediction based handover in dynamic ultra dense network
title_full Markov prediction based handover in dynamic ultra dense network
title_fullStr Markov prediction based handover in dynamic ultra dense network
title_full_unstemmed Markov prediction based handover in dynamic ultra dense network
title_short Markov prediction based handover in dynamic ultra dense network
title_sort markov prediction based handover in dynamic ultra dense network
topic ultra-dense cellular network
large-scale machine communication
Markov model
load-aware
handover
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018225/
work_keys_str_mv AT qingminmeng markovpredictionbasedhandoverindynamicultradensenetwork
AT yuanyuanzhao markovpredictionbasedhandoverindynamicultradensenetwork
AT wenjingyue markovpredictionbasedhandoverindynamicultradensenetwork
AT yulongzou markovpredictionbasedhandoverindynamicultradensenetwork
AT xiaomingwang markovpredictionbasedhandoverindynamicultradensenetwork