Base station dormancy method based on traffic prediction and base station state

A traffic forecasting and base station technology, applied in the field of communication, can solve problems such as difficulty in maximizing energy saving effects, without considering reducing the number of base station state switching times, etc.

Active Publication Date: 2018-11-20
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

The existing technology only considers more dormant base stations, but does not consider reducing the number of base station state switching. The proportion of reserved resources

Method used

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  • Base station dormancy method based on traffic prediction and base station state
  • Base station dormancy method based on traffic prediction and base station state
  • Base station dormancy method based on traffic prediction and base station state

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Embodiment Construction

[0047] In order to make the content and aspects of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] In the existing base station dormancy method, in order to ensure that users who newly access the network after some base stations in the cellular network are dormant can still obtain good network service quality, the base station will be activated to reserve a certain proportion of network resources for future access users. However, for the setting of this part of the proportion, the existing method generally adopts a static setting method to uniformly set a fixed proportion threshold for all base stations. However, due to differences in the network requirements of future access users of each base station, the future load of some base stations is larger than the current load, and the future load of another part of the base station may be smaller than the current load, the method ...

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Abstract

The invention discloses a base station dormancy method based on traffic prediction and base station state. The method predicts the future traffic load of each base station in the cellular network by introducing a fuzzy prediction model, which has better robustness and may obtain more accurate predicting result. By introducing traffic prediction in the sleep mode of the base station, the proportionof reserved resources of each base station may be reasonably set to improve the utilization of network resources, so that more base stations may switch to the sleep state so as to reduce the networkenergy consumption. Adding state factors of the base station to the value function may reduce the number of times of switching the working state of the base station and improve the stability of the base station state. By introducing a fuzzy prediction model, the invention predicts the future traffic of the base station, dynamically sets the reserved resources of the base station according to the prediction result, performs pre-sorting of the dormancy test on each base station by using the value function, and finally determines the dormant base station in the cellular network, thereby reducingthe network energy consumption.

Description

technical field [0001] The invention belongs to the technical field of communications, and relates to a base station dormancy method based on flow prediction and base station status. Background technique [0002] With the rapid development of the mobile communication industry, the number of cellular network users is also increasing year by year. In order to meet the growing demand of users for cellular networks, network operators need to deploy cellular network infrastructure on a large scale, which brings to our daily life However, with the large-scale deployment of base stations, the problem of energy consumption in cellular networks is becoming more and more serious. According to statistics, the current energy consumption of the information and communication industry accounts for about 2% of the global energy consumption, and the information and communication industry’s Energy consumption is growing rapidly, at an annual rate of 15% to 20%, almost doubling every five year...

Claims

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Application Information

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IPC IPC(8): H04W24/06H04W24/08H04W36/00H04W36/08H04W36/22H04W36/24H04W36/30H04W52/02
CPCH04W24/06H04W24/08H04W36/0083H04W36/08H04W36/22H04W36/24H04W36/30H04W52/0206Y02D30/70
Inventor 曲桦赵季红李尚张艳鹏任塨晔
Owner XI AN JIAOTONG UNIV
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