Cellular network base station and relay station joint sleep scheduling method based on business traffic predictions

A technology of business traffic and relay stations, applied in advanced technology, power management, electrical components, etc., can solve the problems of not paying attention to the impact of business traffic, uneven distribution of end users in time and space, etc.

Inactive Publication Date: 2016-05-11
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

However, few people have studied the joint dormant scheduling of base stations and relay stations in cellular networks, and have not paid attention to the impact of business traffic bursts on dormant scheduling of base stations and

Method used

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  • Cellular network base station and relay station joint sleep scheduling method based on business traffic predictions
  • Cellular network base station and relay station joint sleep scheduling method based on business traffic predictions
  • Cellular network base station and relay station joint sleep scheduling method based on business traffic predictions

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Embodiment

[0026] refer to figure 1 , a cellular network base station and relay station joint dormancy scheduling method based on traffic flow prediction, comprising the following steps:

[0027] 1) Obtain historical service flow data of cellular network base stations and relay stations, and establish a support vector machine learning prediction model;

[0028] 2) According to the support vector machine learning prediction model, predict the future time and space service flow data within the coverage area of ​​the cellular network base station and relay station site, and obtain the predicted value of the service flow within the coverage area of ​​the cellular network base station and relay station site at the mth moment ρ m ;

[0029] 3) Compare ρ m and the threshold of traffic flow within the coverage area of ​​cellular network base station and relay station site to determine whether the base station and relay station of the cellular network enter a dormant state: if the predicted v...

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Abstract

The invention discloses a cellular network base station and relay station joint sleep scheduling method based on business traffic predictions. The method comprises the following steps: (1) historic business traffic data of cellular network base stations and cellular network relay stations is obtained, and a support vector machine learning and prediction model is established; (2) a prediction value rho<m> for a business traffic within a station coverage of each of the cellular network base stations and relay stations at a moment m is obtained; (3) rho<m> and a threshold rho-bar for the business traffic within the station coverage of each of the cellular network base stations and relay stations are compared, and whether the cellular network base stations and the cellular network relay stations are to enter a sleep status or not is determined; for the cellular network base stations and the cellular network relay stations that are in the sleep status, if rho<m> is greater than rho-bar, then the cellular network base stations and the cellular network relay stations are waken up, wherein rho-bar is greater than zero and smaller than or equal to 1. Through the method, an aperiodic sleep mechanism and a wake-up mechanism for the cellular network base stations and the cellular network relay stations can be effectively determined, so that real-time sleep scheduling can be guaranteed, and a dynamic balance between spectrum efficiency and energy efficiency can be achieved.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a joint dormancy scheduling method of a cellular network base station and a relay station based on service flow prediction. Background technique [0002] In recent years, the application of mobile terminals and mobile networks has become more and more extensive, and the business traffic in the wireless cellular network has shown explosive exponential growth. Some existing network topology technologies are used to meet the growing demand for network business traffic, such as: increasing Deployment of base stations and deployment of relay stations in traditional cellular networks. These network topology methods can expand the coverage of the network, improve the throughput of the network, and will not cause coverage holes in a certain area. However, the deployment of more and more base stations and relay stations has increased the energy consumption of cellu...

Claims

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Application Information

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IPC IPC(8): H04W52/02H04W52/18
CPCH04W52/0203H04W52/0206H04W52/18Y02D30/70
Inventor 陈宏滨张琼赵峰
Owner GUILIN UNIV OF ELECTRONIC TECH
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