A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation
In recent years, a new concept of network architecture with control/data plane separation is introduced to the future network, which can effectively improve the mobility robustness and reduce the handover failure by providing the data plane services under the umbrella of a macro cell coverage layer....
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doaj-e7e11a7d0c08438393bf726a9d8e2f822021-03-29T20:09:15ZengIEEEIEEE Access2169-35362017-01-0156015602610.1109/ACCESS.2017.26948637903627A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane SeparationYang Sun0Yongyu Chang1Mengshi Hu2Tianyi Zeng3Wireless Theories and Technologies Lab, Beijing University of Posts and Telecommunications, Beijing, ChinaWireless Theories and Technologies Lab, Beijing University of Posts and Telecommunications, Beijing, ChinaWireless Theories and Technologies Lab, Beijing University of Posts and Telecommunications, Beijing, ChinaWireless Theories and Technologies Lab, Beijing University of Posts and Telecommunications, Beijing, ChinaIn recent years, a new concept of network architecture with control/data plane separation is introduced to the future network, which can effectively improve the mobility robustness and reduce the handover failure by providing the data plane services under the umbrella of a macro cell coverage layer. However, in the ultra dense network, frequent data plane handovers would still introduce huge signaling exchanges and latencies. In this paper, we propose a universal predictive mobility management scheme for urban ultra-dense networks to speed up the data plane handover process. We utilize the probability suffix tree model to save and analyze the transition relationships between small cells in terms of variable markov chains, and pre-configure a cluster of small cells with larger handover probabilities for the users. To accommodate different versions of the users, a compatible network-controlled predictive mobility management procedure and an advanced user-autonomous predictive mobility management procedure are proposed to support the proposed predictive mobility management scheme. The simulation results show that the proposed scheme can significantly improve the prediction accuracy with a lower redundant configuration cost and can effectively speed up the data plane handover process compared with the traditional mobility management.https://ieeexplore.ieee.org/document/7903627/Control/data plane separationultra-dense networkpredictive mobility managementvariable Markov chainprobability suffix tree |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yang Sun Yongyu Chang Mengshi Hu Tianyi Zeng |
spellingShingle |
Yang Sun Yongyu Chang Mengshi Hu Tianyi Zeng A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation IEEE Access Control/data plane separation ultra-dense network predictive mobility management variable Markov chain probability suffix tree |
author_facet |
Yang Sun Yongyu Chang Mengshi Hu Tianyi Zeng |
author_sort |
Yang Sun |
title |
A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation |
title_short |
A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation |
title_full |
A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation |
title_fullStr |
A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation |
title_full_unstemmed |
A Universal Predictive Mobility Management Scheme for Urban Ultra-Dense Networks With Control/Data Plane Separation |
title_sort |
universal predictive mobility management scheme for urban ultra-dense networks with control/data plane separation |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
In recent years, a new concept of network architecture with control/data plane separation is introduced to the future network, which can effectively improve the mobility robustness and reduce the handover failure by providing the data plane services under the umbrella of a macro cell coverage layer. However, in the ultra dense network, frequent data plane handovers would still introduce huge signaling exchanges and latencies. In this paper, we propose a universal predictive mobility management scheme for urban ultra-dense networks to speed up the data plane handover process. We utilize the probability suffix tree model to save and analyze the transition relationships between small cells in terms of variable markov chains, and pre-configure a cluster of small cells with larger handover probabilities for the users. To accommodate different versions of the users, a compatible network-controlled predictive mobility management procedure and an advanced user-autonomous predictive mobility management procedure are proposed to support the proposed predictive mobility management scheme. The simulation results show that the proposed scheme can significantly improve the prediction accuracy with a lower redundant configuration cost and can effectively speed up the data plane handover process compared with the traditional mobility management. |
topic |
Control/data plane separation ultra-dense network predictive mobility management variable Markov chain probability suffix tree |
url |
https://ieeexplore.ieee.org/document/7903627/ |
work_keys_str_mv |
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