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Traffic-based cellular energy optimization method in mobile cellular network

A mobile cellular network, energy optimization technology, applied in the direction of network traffic/resource management, energy consumption reduction, advanced technology, etc., can solve problems such as not considering power consumption, not considering adjusting base station coverage to transfer or redistribute traffic load, etc. , achieve the effect of enhancing practical value and saving energy

Inactive Publication Date: 2013-09-04
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

First, it does not consider how to adjust the base station coverage to shift or redistribute the traffic load
On the other hand, GM-NAB does not consider the increased power consumption when the coverage of a base station increases during energy optimization

Method used

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  • Traffic-based cellular energy optimization method in mobile cellular network
  • Traffic-based cellular energy optimization method in mobile cellular network
  • Traffic-based cellular energy optimization method in mobile cellular network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0117] This example uses MATLAB software for simulation. The main parameters in the simulation are set as follows: the total number of mobile cellular network base stations is N=64, and the coverage of these 64 base stations in the original network without any energy optimization is the same, with a diameter of R=1km. The capacity of each base station is 110% of the maximum traffic load that the base station can carry. The base station's allowable and expandable maximum transmission distance is set to 1.6km and 2km, that is to say, the base station can expand from the original coverage of 1km to a maximum of 1.6km or 2km. The value assumed here is consistent with the parameters of many actual products. Energy consumption P of the fixed part of the base station β There are two values ​​of 2100W and 2800W; P α When the transmission distance is 1km, 1.6km, and 2km, there are three values ​​of 4, 6, and 8. This is because as the transmission distance increases, the base station...

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Abstract

The invention discloses a traffic-based cellular energy optimization method in a mobile cellular network, which includes the following steps: the areas covered by base stations in the mobile cellular network are divided into m identical cells; the traffics of the base stations are respectively equally allocated into the respective cells; an undirected graph of the connection relation between each base station and all the cells is created, and the mapping relation between the mobile cellular network and the undirected graph is as follows: a base station and a cell serve as a vertex of the undirected graph, and the connection between a base station and a cell serves as a side of the undirected graph; each side of the undirected graph is assigned with a traffic weight; and optimized energy configuration is carried out on each base station, including base station switching configuration and the adjustment of base station coverage. The invention introduces traffic load into energy optimization, and can ensure that certain base stations can enter the sleep mode in order to increase energy efficiency while guaranteeing the quality of service.

Description

technical field [0001] The invention relates to a flow-based grid energy optimization method in a mobile cellular network. Background technique [0002] With the proliferation of iPhones and other smartphones, we are experiencing an explosion in demand for wireless network access, and with it, a huge amount of power consumption. It has been recognized that the ICT industry is one of the major players in the world's energy consumption and greenhouse gas emissions. Recent studies have shown that the information and communication technology industry accounts for 2%-10% of global energy consumption, and pointed out that by 2011, the energy consumption of mobile networks will reach 124.48kWh. Bills paid will double. In addition, with the enhancement of people's environmental awareness, how to reduce the emission of greenhouse gases and save energy in communication systems has become very important. [0003] In addition to environmental factors, energy consumption is related to...

Claims

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Application Information

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IPC IPC(8): H04W28/06H04W28/08
CPCY02D30/70
Inventor 党满满李荣鹏赵志峰张宏纲
Owner ZHEJIANG UNIV
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