DVB_RCS satellite channel dynamic distribution method based on predicating of wavelet neural network

A technology of wavelet neural network and channel allocation, which is applied in the field of satellite communication, can solve the problem of inaccurate prediction and achieve the effect of satisfying QoS

Inactive Publication Date: 2014-02-19
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0007] The technical problem to be solved by the present invention: In view of the multi-scale characteristics of satellite service traffic such as long-term correlation, self-similarity and multi-fractality, the existing on-board prediction method is not accurate enough, the present invention provides

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  • DVB_RCS satellite channel dynamic distribution method based on predicating of wavelet neural network
  • DVB_RCS satellite channel dynamic distribution method based on predicating of wavelet neural network
  • DVB_RCS satellite channel dynamic distribution method based on predicating of wavelet neural network

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Embodiment Construction

[0023] see figure 1 , the present invention provides a kind of prediction-based channel assignment method applied to DVB_RCS broadband satellite, the method comprising:

[0024] A. The user small station records the number of traffic packets arriving at the link layer. In view of the multi-scale characteristics of the traffic, the wavelet neural network prediction algorithm is used to predict the number of packets arriving in the next cycle according to the historical record data;

[0025] B. When the user small station sends a traffic time slot request to the gateway station through the satellite, it carries the predicted traffic time slot number at the next moment;

[0026] C. When the gateway station allocates time slot resources, it first allocates on-demand according to the real-time access data rate of each user station, and then assigns the remaining capacity according to the weight of the access data rate predicted by each user station in the next period , more realis...

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Abstract

The invention relates to a DVB_RCS satellite channel dynamic distribution method based on predicating of a wavelet neural network. In terms of the multiple-scale features of satellite network flow, firstly, a wavelet neural network flow predicating algorithm is used for predicating real-time arrived flow of user stations of the next cycle and sending the real-time arrived flow to a gateway station; secondly, the gateway station performs distribution as needed according to the real-time access data rate of all the user stations in each channel application distribution cycle. The access data rate in the next cycle predicated by all the user stations serves as weight allocation residual capacitance. The DVB_RCS satellite channel dynamic distribution method based on predicating of the wavelet neural network is characterized in that in terms of the multiple-scale features of satellite service flow such as long relevance, self similarity and the multiple fractal property, the flow of the next moment is predicated with the wavelet neural network, the predication accuracy of the flow is improved, service time slots are reasonably distributed, service time delay is effectively shortened, the service quality of the users is ensured and the channel resource utilization rate is improved.

Description

technical field [0001] The invention belongs to the field of satellite communication, in particular to a DVB_RCS satellite channel dynamic allocation method based on wavelet neural network prediction. Background technique [0002] Satellite bandwidth resources are tight, and the main purpose of multiple access is to maximize and most effectively utilize satellite bandwidth resources. Multiple access methods mainly include fixed allocation, random allocation, and on-demand allocation. Fixed allocation method, when the number of terminals increases or the business is not too balanced, this access method is no longer applicable, especially for sudden business. The access mode is assigned randomly. When the traffic volume increases, collisions will occur, which will cause an increase in transmission delay (especially for geostationary satellites), and continuous retransmission will lead to performance degradation. [0003] The method of on-demand allocation is to send a reserv...

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Application Information

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IPC IPC(8): H04L12/917H04B7/185H04L47/76
Inventor 张琦忻向军田清华张丽佳刘博王拥军何文清王厚天李欢文国莉
Owner BEIJING UNIV OF POSTS & TELECOMM
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