What is the energy-saving technology of base stations?This technical report focuses on energy-saving technology of base stations. Some energy saving technologies since 4G era will be explained in details, while artificial intelligence and big data technology will be introduced in response to the requirement of an intelligent and self-adaptive energy saving solution.
How can a base station save energy?There are two main methods of base station energy saving, including hardware and software.
What is the power consumption of a base station?The power consumption of each base station is considered about the number of mobile subscribers and random mobility to minimize the energy-saving cost of the cellular network.
What are the standardized energy-saving metrics for a base station?(1) Energy-saving reward: after choosing a shallower sleep strategy for a base station, the system may save more energy if a deeper sleep mode can be chosen, and in this paper, the standardized energy-saving metrics are defined as (18) R i e = E S M = 0 − E S M = i E S M = 0 − E S M = 3.
Why do base stations waste so much energy?When there is little or no communication activity, base stations typically consume more than 80% of their peak power consumption, leading to significant energy waste . This energy waste not only increases operational costs, but also burdens the environment, which is contrary to global sustainability goals .
Why does network sensitivity affect the energy consumption of base stations?In addition, the high sensitivity of the existing policies to network conditions during the period when the network load is relatively smooth may lead to unnecessary and frequent switching of the sleep mode of the base stations, thus adding non-negligible additional energy consumpti
It is found that within a network of 42 cells 7.26% power can be saved by switching off seven base stations during off-peak traffic hours. IEEE 802.16e is extensively used these days for both
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As communication technology evolves recently, power consumption in a network is continuously increasing. In order to meet rapidly increasing data traffic demands, a
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This paper discusses green base stations in terms of system architecture, base station form, key power-saving technologies, and green technology applications. It aims to find
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Due to harsh climate conditions and the absence of on-site personnel to maintain fuel generators, the company required a reliable solution to ensure the base
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Research conducted by mobile communication organizations such as Ericsson and the Next-Generation Mobile Networks (NGMNs) Alliance has
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The Importance of Energy Storage Systems for Communication Base Station With the expansion of global communication networks, especially the
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Due to harsh climate conditions and the absence of on-site personnel to maintain fuel generators, the company required a reliable solution to ensure the base station''s stable operation and
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Compared with the fourth generation (4G) technology, the fifth generation (5G) network possesses higher transmission rate, larger system capacity and lower tran
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The research shows that the method proposed in this paper has a certain energy-saving effect, can meet the energy efficiency requirements of 5G ultra dense base station, and
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The present invention relates to a mobile communication system, a base station, a mobile station, and a power-saving transmission and reception method used in them, and more particularly, to
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Monitoring of energy consumption is a great tool for understanding how to better manage this consumption and find the best strategy to adopt in order to maximize reduction of
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It is found that within a network of 42 cells 7.26% power can be saved by switching off seven base stations during off-peak traffic hours. IEEE 802.16e is extensively used these days for both
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This technical report explores how network energy saving technologies that have emerged since the 4G era, such as carrier shutdown, channel shutdown, symbol shutdown etc., can be
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To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
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The proportion of traditional frequency regulation units decreases as renewable energy increases, posing new challenges to the frequency stability of the power system. The
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In the communication power supply field, base station interruptions may occur due to sudden natural disasters or unstable power supplies. This work studies the optimization of
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In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for
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This parallel increase in usage of cellular phones has lead to implementation of communication towers called base stations.. The base stations comprises of electronic equipment and
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Therefore, the reduction of the energetic consumptions of a Telecommunications Power Systems represents one of the critical factors of
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Up to now, as the largest communication network, the maximum operating cost of the communications industry in China is the electricity. And the major power consumption of
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There is provided a mobile communication system that can prevent a situation in which, although there is no occasion to receive packets for a mobile station, the reception processing is
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Based on the performance data of the cell served by the communication equipment in a period of time (reflecting the cell load), the power saving amount in various
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Based on the performance data of the cell served by the communication equipment in a period of time (reflecting the cell load), the power saving amount in various
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To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
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With the development of LTE networks, the scale of mobile communication networks has expanded rapidly, and equipment energy consumption has grown rapidly. This paper first
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Compared with the fourth generation (4G) technology, the fifth generation (5G) network possesses higher transmission rate, larger system capacity and lower tran
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In this paper, a framework is developed to study the impact of different power model assumptions on energy saving in a 5G separation architecture comprising high power
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Various approaches have been proposed to reduce the energy consumption of an RBS, for instance, passive cooling techniques, energy-efficient backhaul solutions, and distributed base
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In the communication power supply field, base station interruptions may occur due to sudden natural disasters or unstable power supplies. This
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To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates communication caching
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This technical report focuses on energy-saving technology of base stations. Some energy saving technologies since 4G era will be explained in details, while artificial intelligence and big data technology will be introduced in response to the requirement of an intelligent and self-adaptive energy saving solution.
There are two main methods of base station energy saving, including hardware and software.
The power consumption of each base station is considered about the number of mobile subscribers and random mobility to minimize the energy-saving cost of the cellular network.
(1) Energy-saving reward: after choosing a shallower sleep strategy for a base station, the system may save more energy if a deeper sleep mode can be chosen, and in this paper, the standardized energy-saving metrics are defined as (18) R i e = E S M = 0 − E S M = i E S M = 0 − E S M = 3
When there is little or no communication activity, base stations typically consume more than 80% of their peak power consumption, leading to significant energy waste . This energy waste not only increases operational costs, but also burdens the environment, which is contrary to global sustainability goals .
In addition, the high sensitivity of the existing policies to network conditions during the period when the network load is relatively smooth may lead to unnecessary and frequent switching of the sleep mode of the base stations, thus adding non-negligible additional energy consumption.
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