ACB (Access Class Barring)-based method for dynamically adjusting network load condition by sensing M2M (Machine-to-Machine) network load

A network load and dynamic adjustment technology, applied in the field of communication, can solve the problem that the effect of the ACB method is not obvious

Active Publication Date: 2015-04-08
XI AN JIAOTONG UNIV
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Problems solved by technology

Unfortunately, when the load number is further increased, the effect of the ACB method is not obvious, which drives the research of new technologies

Method used

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  • ACB (Access Class Barring)-based method for dynamically adjusting network load condition by sensing M2M (Machine-to-Machine) network load
  • ACB (Access Class Barring)-based method for dynamically adjusting network load condition by sensing M2M (Machine-to-Machine) network load
  • ACB (Access Class Barring)-based method for dynamically adjusting network load condition by sensing M2M (Machine-to-Machine) network load

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Embodiment Construction

[0063] The present invention will be further described in detail below in conjunction with specific examples, which are explanations of the present invention rather than limitations.

[0064] The present invention proposes a method for dynamically adjusting network load status based on ACB-based M2M network load perception. This method can estimate the current M2M network load status, and dynamically adjust the limit factor of the ACB method based on the estimated result, thereby improving system performance (including improving the probability of successful access and reducing access delay). Its specific implementation process is as follows:

[0065] (1) M2M network load estimation method based on Markov chain

[0066] ①A Markov chain is formed according to the situation of load access pilots and a state transition probability matrix P describing the nature of the Markov chain is obtained. The process of the load accessing the pilot constitutes a Markov chain, and the state...

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Abstract

The invention discloses an ACB (Access Class Barring)-based method for dynamically adjusting a network load condition by sensing an M2M (Machine-to-Machine) network load, and belongs to the technical field of communication. The method comprises the following steps: I, estimating the network load condition based on a Markov chain; II, designing a dynamic control function for controlling the limiting factor of an ACB method according to the estimation result of the network load condition; III, adjusting the network load condition by using the acquired dynamic control function. By adopting the method, successful access probability of the network load can be effectively increased; meanwhile, the access time delay can be reduced remarkably, so that the problem of network congestion can be effectively solved.

Description

technical field [0001] The invention belongs to the technical field of communication, relates to an M2M network access control strategy, and in particular relates to a method for dynamically adjusting network load status based on ACB-based M2M network load perception. Background technique [0002] With the development of the Internet of Things, M2M (short for Machine-to-Machine, specifically referring to the type of communication business between machines) is considered to bring great convenience to human life in the future. Because of its broad prospects, it has received widespread attention. Compared with the traditional H2H (Human-to-Human) communication service, the load density of M2M is much greater than that of H2H, and a large number of loads may simultaneously access the base station through the random access channel in a short period of time, which is considered to be One of the biggest differences between M2M and H2H. [0003] Simultaneous access of a large numb...

Claims

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Application Information

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IPC IPC(8): H04W4/00H04W28/08
CPCH04W4/00H04W28/08
Inventor 杜清河贺宏亮任品毅李婉瑜王熠晨
Owner XI AN JIAOTONG UNIV
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