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Base station dormancy method based on flow prediction in heterogeneous network

A traffic prediction, heterogeneous network technology, applied in the field of wireless communication, can solve the problems of users being unable to be served, unable to adapt to the dynamic changes of base station load and traffic, etc.

Active Publication Date: 2015-11-11
SOUTHEAST UNIV
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Problems solved by technology

[0004] But in practice, making some base stations sleep or shut down may cause users in some areas to be unserved, which is not allowed
In addition, some traditional base station dormancy methods are proposed based on a definite traffic model, which cannot adapt to the situation that the actual base station load traffic is dynamically changing.

Method used

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  • Base station dormancy method based on flow prediction in heterogeneous network
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  • Base station dormancy method based on flow prediction in heterogeneous network

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Embodiment Construction

[0038] In order to introduce the technical content of the present invention in more detail, specific examples are given and described as follows in conjunction with the accompanying drawings. The main function of this example is to establish the MWNN model that achieves the target prediction accuracy, and then use the established MWNN model to predict the traffic data of the base station, and choose to sleep the macro base station and use the micro base station to provide user services during off-peak hours, so as to save the network purpose of energy consumption.

[0039] Such as figure 1 As shown, assume that each macro cell can be divided into six sectors, and there are three micro base stations evenly distributed in each sector (for example, the coverage radius of the macro base station is 1800 meters, the coverage radius of the micro base station is 100 meters, and the maximum transmission of the micro base station The power is 0.13W, the fixed power consumption of the m...

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Abstract

The invention relates to a base station dormancy method based on flow prediction in a heterogeneous network. A conventional base station dormancy method based on fixed flow model can not adapt to the dynamic change of load flow in a base station. A modified wavelet neural network (MWNN) model dynamically predicts the load flow of the base station, and Pico Base Stations (PBSs) instead of a Macro Base Station (MBS)provide services to users during peak hours according to the prediction result. Even if the covering scope of the PMSs is smaller than that of the MBS, the covering scope of the PMSs of certain quantity ensures the service for users when the user number reaches the climax. Since the emission power required by PMSs is much less than that of the MBS, the network energy consumption is reduced, and the purpose of green communication is achieved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a dormancy method of a base station capable of reducing energy consumption of a wireless communication system, and more specifically proposes a dormancy method of a base station based on flow prediction in a heterogeneous network. Background technique [0002] With the rapid development of wireless communication technology and the rapid growth of user demand, future wireless communication and network technologies are faced with dual constraints of resources and energy consumption. How to design the future mobile communication network and effectively utilize wireless resources has become a hot spot that the government and academic circles generally pay attention to. [0003] The information and communication technology (Information and Communication Technology, ICT) industry is a large energy consumer, accounting for about 2% of global energy consumption, and is growi...

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Application Information

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IPC IPC(8): H04W52/02
CPCH04W52/0206H04W52/02Y02D30/70
Inventor 衡伟胡津铭
Owner SOUTHEAST UNIV
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