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Method for network energy conservation based on station actual load in long-term evolution network

A long-term evolution network and actual load technology, which is applied in the network field of wireless communication networks, can solve problems such as hardware equipment difficulties and high economic costs, and achieve the effect of avoiding repeated switching and ping-pong effects

Inactive Publication Date: 2015-09-02
SOUTHEAST UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] After the LTE network is planned and constructed, it will be very difficult and costly to adjust the topology of the network and upgrade the hardware equipment of the site

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  • Method for network energy conservation based on station actual load in long-term evolution network
  • Method for network energy conservation based on station actual load in long-term evolution network
  • Method for network energy conservation based on station actual load in long-term evolution network

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Embodiment Construction

[0037] The following is a further introduction to the energy-saving implementation of the present invention under the long-term evolution (Long Term Evolution, LTE) network in the real urban environment:

[0038] (1) Use the central controller to sort the total load of all macro eNB sites within the set time window (this time window is set by the operator after counting the site load), and then form a queue L from low to high, and select Pre-dormant site i.

[0039] Firstly, through the cumulative statistics of the probability of the time ratio of low-load operation of the site within a time period (this time period and the proportion of low-load time are set by the operator), determine ρ off . Then judge whether the total load of the selected pre-sleep site i is in a downward trend compared with the previous moment in the time window, if it is in a downward trend, and the real-time and historical load values ​​of the site are less than ρ off , then the post-hibernation stat...

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Abstract

The invention discloses a method for network energy conservation based on station actual load in a long-term evolution network. The whole method mainly comprises three steps: 1) performing dormancy station pre-decision based on evolved node B (eNB) history and real-time load data; 2) load rapid estimation and dormancy eNB station decision methods based on system overall load and energy consumption variation influence before and after an eNB station sleeps; 3) according to load variation conditions of adjacent active stations, performing distributed real-time mutual awakening on the dormant eNB stations. The method can make full use of history and real-time load operating characteristics of the eNB stations, reduces calculation complexity of selection operation of the stations, and can rapidly and quantitatively estimate load switching among the stations, and finally realizes dormancy and energy conservation of the network.

Description

technical field [0001] The invention relates to a method for energy saving of a dormant network of a site based on analysis of running data of an evolved Node B (Evolved Node B, eNB), relates to the problem of energy saving of a Long Term Evolution (LTE) network, and belongs to the field of network technology in wireless communication networks. Background technique [0002] In recent years, the research on energy-saving technologies in cellular networks has mainly focused on the network side, that is, the energy-saving of the entire system can be achieved by effectively saving energy for sites in the network. The specific methods mainly include the following: 1) Site hardware design: use highly integrated low-power chips; reduce the number of cooling fans; improve the integration and linearity of power amplifiers; 2) rational network planning and topology management : Reasonable planning and site selection to reduce the number of sites and equipment transmission power; make ...

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Application Information

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IPC IPC(8): H04W52/02
CPCH04W52/0206Y02D30/70
Inventor 尤肖虎童恩王晔潘志文丁飞
Owner SOUTHEAST UNIV