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- Title
Congestion-Aware Signaling Aggregation and Barring Scheme for LTE Based Machine-to-Machine Network.
- Authors
Xu, Fangmin; Qiu, Chao; Wang, Pengbiao; Liu, Xiaokai
- Abstract
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.
- Subjects
SIGNAL processing; LONG-Term Evolution (Telecommunications); MACHINE-to-machine communications; MATHEMATICAL optimization; CELLULAR neural networks (Computer science); COMPUTER simulation
- Publication
International Journal of Distributed Sensor Networks, 2015, Vol 2015, p1
- ISSN
1550-1329
- Publication type
Article
- DOI
10.1155/2015/703486