Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network

With the recently progress of Machine-to-Machine (M2M) communication technology, especially the enormous M2M devices and unique service of M2M, some challenges are emerging to the traditional wireless access and core networks, especially the congestion problem due to simultaneously bursty M2M servic...

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Main Authors: Fangmin Xu, Chao Qiu, Pengbiao Wang, Xiaokai Liu
Format: Article
Language:English
Published: Wiley 2015-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/703486
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author Fangmin Xu
Chao Qiu
Pengbiao Wang
Xiaokai Liu
author_facet Fangmin Xu
Chao Qiu
Pengbiao Wang
Xiaokai Liu
author_sort Fangmin Xu
collection DOAJ
description With the recently progress of Machine-to-Machine (M2M) communication technology, especially the enormous M2M devices and unique service of M2M, some challenges are emerging to the traditional wireless access and core networks, especially the congestion problem due to simultaneously bursty M2M service. Following this paradigm, the purpose of this paper is to support and optimize the signaling aggregation and barring of M2M services based on cellular network. With LTE network being the example access network, a congestion-aware signaling aggregation and barring scheme is designed considering the various requirements of M2M services and the congestion situation in the network entity. Theoretical analysis and experimental simulations show that this scheme can improve the system efficiency and greatly alleviate the signaling congestion, especially for the bursty M2M service.
format Article
id doaj-art-6844a78be3d0408c91466f8c5961c62c
institution Kabale University
issn 1550-1477
language English
publishDate 2015-10-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-6844a78be3d0408c91466f8c5961c62c2025-02-03T07:26:21ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/703486703486Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine NetworkFangmin XuChao QiuPengbiao WangXiaokai LiuWith the recently progress of Machine-to-Machine (M2M) communication technology, especially the enormous M2M devices and unique service of M2M, some challenges are emerging to the traditional wireless access and core networks, especially the congestion problem due to simultaneously bursty M2M service. Following this paradigm, the purpose of this paper is to support and optimize the signaling aggregation and barring of M2M services based on cellular network. With LTE network being the example access network, a congestion-aware signaling aggregation and barring scheme is designed considering the various requirements of M2M services and the congestion situation in the network entity. Theoretical analysis and experimental simulations show that this scheme can improve the system efficiency and greatly alleviate the signaling congestion, especially for the bursty M2M service.https://doi.org/10.1155/2015/703486
spellingShingle Fangmin Xu
Chao Qiu
Pengbiao Wang
Xiaokai Liu
Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network
International Journal of Distributed Sensor Networks
title Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network
title_full Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network
title_fullStr Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network
title_full_unstemmed Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network
title_short Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network
title_sort congestion aware signaling aggregation and barring scheme for lte based machine to machine network
url https://doi.org/10.1155/2015/703486
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AT chaoqiu congestionawaresignalingaggregationandbarringschemeforltebasedmachinetomachinenetwork
AT pengbiaowang congestionawaresignalingaggregationandbarringschemeforltebasedmachinetomachinenetwork
AT xiaokailiu congestionawaresignalingaggregationandbarringschemeforltebasedmachinetomachinenetwork