Multilayered satellite network channel resource management method

A management method and satellite network technology, which is applied in the field of multi-layer satellite network channel resource management, can solve problems such as low user satisfaction, inaccurate prediction of satellite network traffic, inability to provide decision support for user access, and improve satisfaction Degree, the effect of improving resource utilization

CN104780569AActive Publication Date: 2015-07-15NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2015-07-15

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Abstract

The invention discloses a multilayered satellite network channel resource management method. The method comprises steps as follows: a prediction model of the business volume of new calling users allowed to be accessed in a community in a period of time is proposed firstly, the business volume of the new calling users allowed to be accessed in the community in a period of time is predicated accurately, and decision support is provided for different users requiring access to multilayered satellite networks; channel resource allocation is performed on the multilayered satellite networks, and the channel resource utilization rate of the whole satellite network is increased; types and the downgrading number of downgraded users are judged with a game theory, and an improved upgrading and downgrading model determines a specific downgrading method of the downgraded users and access of the downgraded users after downgrading, so that the downgrading process is more reasonable and more transparent, and the overall user's satisfaction is improved while the access of high-priority users is guaranteed. According to the multilayered satellite network channel resource management method, the users with different priorities in the satellite networks are reasonably accessed to the multilayered satellite networks, the channel resource utilization rate of the whole satellite system is increased, the user's satisfaction is improved, the satellite channel resource waste is reduced, and the satellite communication efficiency is improved.
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Description

technical field

[0001] The invention relates to a method for managing channel resources of a multi-layer satellite network, which belongs to the technical field of satellite communication. Background technique

[0002] Compared with other communication methods, satellite communication has a long communication distance (for example, the communication distance can reach up to 18,000km when using a stationary satellite), large coverage area, wide communication frequency bandwidth, large transmission capacity, flexible mobility, and stable and reliable communication lines. and other advantages. Since the 21st century, satellite communications have developed rapidly, playing a pivotal role in military communications, commercial communications, and personal communications. With the rapid development of 4G networks and the surge of mobile terminals, people have greater demands for multimedia services and data services, and the requirements for service quality are getting higher an...

Examples

Embodiment Construction

[0116] Step 1: Obtain the historical value of the traffic volume of new call users in the cell within a certain period of time. Perform spectrum analysis on this time series to obtain the period of the sequence and calculate the autocorrelation function and partial correlation function of the discrete time series, and use ADF (single root test) to determine d and D (d and D are non-negative integers, respectively denoting The value of the d-order difference of the time series and the D-order difference after the period s interval processing); to judge the stationarity of the sample, if the sample is not stable, the difference and seasonal difference are performed on the sample to obtain a stable random sequence And use the least squares method to estimate the autoregressive parameters and moving average parameters of the model; after testing the model, use the time series to predict the traffic volume of new call users in the cell. The traffic volume of new call data users is ...