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

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...

AI Technical Summary

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 relay stations.

In existing studies, the establishment and simulation of cellular network models usually assume that the end users are uniformly distributed, but in practice, the distribution of end users in time and space is uneven

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