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Network user arrival rate prediction method based on binary exponential backoff deviation correction

A network user and prediction method technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of difficult system application, high complexity, and difficult to reflect changes in prediction results in time, so as to solve application difficulties and reduce Effects of Computational Complexity

Inactive Publication Date: 2016-09-07
BEIHANG UNIV
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Problems solved by technology

When unexpected factors lead to changes in user behavior patterns, resulting in sharp fluctuations in user arrival rates, the prediction results of these methods are difficult to reflect the changes in time
In addition, these prediction methods often bring certain difficulties to real-time system applications due to their high complexity and time-consuming calculations.

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  • Network user arrival rate prediction method based on binary exponential backoff deviation correction
  • Network user arrival rate prediction method based on binary exponential backoff deviation correction
  • Network user arrival rate prediction method based on binary exponential backoff deviation correction

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Embodiment Construction

[0025] The present invention will be further described below with reference to the drawings and embodiments.

[0026] The present invention proposes a network user arrival rate prediction method based on binary exponential backoff deviation correction, which completes the collection of user information of the predicted network based on pre-sampling. After sampling and analysis from multiple wireless networks, it can be found that the user arrival rate in the wireless network has such a figure 2 Periodicity in Although user requests may fluctuate due to some unknown factors, they generally show a cyclical change with a 24-hour cycle, with peaks and troughs appearing at approximate time positions in each cycle. 24 hours is exactly the time period of one day. The periodic changes presented by user requests coincide with the human biological cycle. Therefore, it is reasonable to believe that the 24-hour periodic changes presented by the arrival intensity of user requests are not acc...

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Abstract

The invention discloses a network user arrival rate prediction method based on binary exponential backoff deviation correction, belonging to the technical field of wireless networks. The method sets up a prediction reference on the basis of sample data of the user arrival rate in an actual wireless network, determines an updating period of a prediction parameter on the basis of user data analysis, determines that the difference between prediction data and actual data is a deviation, carries out attenuation estimation of a burst factor affecting the user arrival rate by means of a binary exponential backoff factor, thus eliminates influence of the burst factor on a user behavior prediction result, and achieves advance prediction of the user arrival rate of the wireless network. The method can provide basis for wireless network strategies in resource allocation, rate standard adjustment and other aspects.

Description

Technical field [0001] The invention belongs to the technical field of wireless networks, and particularly relates to a method for predicting the arrival rate of network users that performs deviation correction in a binary exponential fallback manner. Background technique [0002] The access request arrival rate of users in the wireless network (the number of users requesting to access the wireless network within a unit time) directly affects the number of network service users, service quality, maintenance intensity, tariff standards and other parameters of the wireless network in the future. Therefore, the accurate prediction of user arrival rate is of great practical significance for wireless network operations. The present invention is based on this demand and proposes a network user arrival rate prediction method based on binary exponential backoff deviation correction. [0003] The current research results in the field of wireless network technology to predict the arrival ra...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/147H04L41/142
Inventor 王璐吴威周忠
Owner BEIHANG UNIV
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