CN115066007B

CN115066007B - Method and device for determining energy saving strategy and storage medium

Info

Publication number: CN115066007B
Application number: CN202210725703.5A
Authority: CN
Inventors: 李贝; 刘宏嘉; 刘光海; 刘蕊; 肖天; 成晨; 薛永备; 陈佳; 魏汝翔; 石贤富; 张玮; 张帆; 程新洲; 佟恬
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2022-06-24
Filing date: 2022-06-24
Publication date: 2024-03-15
Anticipated expiration: 2042-06-24
Also published as: CN115066007A

Abstract

The application provides a method, a device and a storage medium for determining an energy-saving strategy, which relate to the technical field of communication and are used for improving the accuracy of configuring the energy-saving strategy for a base station. The method comprises the following steps: acquiring configuration information of each first base station in a plurality of first base stations, wherein the configuration information comprises: static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain and signal transmission power, the static energy consumption being the energy consumption when the base station is not transmitting signals. The target total traffic for the plurality of first base stations is determined based on the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain, and the signal transmit power. And determining the target total energy consumption of the plurality of first base stations according to the static energy consumption and the signal transmitting power of each first base station. And determining the target energy efficiency according to the target total energy consumption and the target total traffic. And determining a target energy-saving strategy according to the target energy efficiency.

Description

Method and device for determining energy saving strategy and storage medium

Technical Field

The present invention relates to the field of communications, and in particular, to a method, an apparatus, and a storage medium for determining an energy saving policy.

Background

In recent years, with public emphasis on environment and energy, energy saving of network devices (such as base stations) has become more important. Currently, in order to reduce energy consumption of a base station, an energy-saving strategy can be configured for the base station, and the base station can achieve the purpose of reducing energy consumption through the energy-saving strategy. For example, the energy saving policy may be configured for the base station in combination with the number of terminals served by the base station or the traffic handled by the base station.

However, in the current technical solution, when the energy-saving strategy is configured for the base station, the energy-saving strategy is configured for the base station only by combining the number of terminals served by the base station or the traffic processed by the base station, and the combined information amount is less, which may cause inaccuracy of the energy-saving strategy.

Disclosure of Invention

The application provides a method, a device and a storage medium for determining an energy-saving strategy, which are used for improving the accuracy of configuring the energy-saving strategy for a base station.

In order to achieve the above purpose, the present application adopts the following technical scheme:

according to a first aspect of the present application, a method for determining a power saving strategy is provided. The method comprises the following steps:

a determining device (may be simply referred to as "determining device") of the energy saving policy obtains configuration information of each of the plurality of first base stations, the configuration information including: static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain and signal transmission power, the static energy consumption being the energy consumption when the base station is not transmitting signals. The determining means determines a target total traffic of the plurality of first base stations based on the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain and the signal transmission power, the target total traffic being a sum of the traffic of the plurality of first base stations. The determining device determines the target total energy consumption of the plurality of first base stations according to the static energy consumption and the signal transmitting power of each first base station, wherein the target total energy consumption is the sum of the energy consumption when the plurality of first base stations transmit signals. The determining device determines the target energy efficiency according to the target total energy consumption and the target total traffic. The determining device determines a target energy saving strategy according to the target energy efficiency.

Optionally, the method of determining the target total energy consumption of the plurality of first base stations by the determining device according to the static energy consumption and the signal transmitting power of each first base station includes: the determining device determines the dynamic energy consumption of each first base station according to the signal transmitting power of each first base station and the preset weight, wherein the dynamic energy consumption is the energy consumption of the base station for transmitting signals. The determining means determines a target energy consumption for each first base station, the target energy consumption being a sum of the static energy consumption and the dynamic energy consumption. The determining means determines a target total energy consumption of the plurality of first base stations based on the target energy consumption of each first base station.

Optionally, the method for determining the energy saving strategy further includes: the determining means acquires configuration information of the plurality of second base stations. The determining device obtains configuration information of each first base station in the plurality of first base stations, including: the determining device determines configuration information meeting preset conditions in the configuration information of the plurality of second base stations as target configuration information, wherein the target configuration information comprises the configuration information of the plurality of first base stations.

Optionally, the configuration information may further include at least one of: the number of terminals served by the base station and the number of service alarms. The preset conditions include at least one of the following: the sum of the number of terminals served by the base stations of the plurality of second base stations is greater than a preset terminal number threshold, and the service alarm number of each of the plurality of second base stations is less than the preset alarm number threshold.

Optionally, the plurality of first base stations includes: fourth generation mobile communication technology 4G base station and/or fifth generation mobile communication technology 5G base station.

According to a second aspect of the present application, there is provided a determination apparatus of an energy saving policy, the apparatus including an acquisition module and a processing module.

The acquisition module is configured to acquire configuration information of each of the plurality of first base stations, where the configuration information includes: static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain and signal transmission power, the static energy consumption being the energy consumption when the base station is not transmitting signals. And the processing module is used for determining the target total traffic of the plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive white Gaussian noise, the channel gain and the signal transmitting power, wherein the target total traffic is the sum of the traffic of the plurality of first base stations. And the processing module is also used for determining the target total energy consumption of the plurality of first base stations according to the static energy consumption and the signal transmitting power of each first base station, wherein the target total energy consumption is the sum of the energy consumption when the plurality of first base stations transmit signals. And the processing module is also used for determining target energy efficiency according to the target total energy consumption and the target total traffic. The processing module is specifically used for determining a target energy-saving strategy according to the target energy efficiency.

Optionally, the processing module is further configured to determine, according to the signal transmission power and the preset weight of each first base station, dynamic energy consumption of each first base station, where the dynamic energy consumption is energy consumption of a base station for transmitting signals. The processing module is further used for determining target energy consumption of each first base station, wherein the target energy consumption is the sum of static energy consumption and dynamic energy consumption. And the processing module is also used for determining the target total energy consumption of the plurality of first base stations according to the target energy consumption of each first base station.

Optionally, the acquiring module is further configured to acquire configuration information of the plurality of second base stations. The processing module is further configured to determine, as target configuration information, configuration information satisfying a preset condition in the configuration information of the plurality of second base stations, where the target configuration information includes configuration information of the plurality of first base stations.

According to a third aspect of the present application, there is provided an apparatus for determining an energy saving policy, the apparatus comprising: a processor and a memory. The processor and the memory are coupled. The memory is for storing one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the determining means of the energy saving policy, are executable by the processor to perform the method of determining the energy saving policy as described in the first aspect and any one of the possible implementations of the first aspect.

According to a fourth aspect of the present application, there is provided a computer readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the method of determining a power saving policy described in any one of the possible implementations of the first aspect and the first aspect.

According to a fifth aspect of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, causes the computer to implement a method of determining a power saving strategy as described in any one of the possible implementations of the first aspect and the first aspect.

In the above solution, the technical problems and the technical effects that can be solved by the determining device, the computer storage medium or the computer program product of the energy saving policy may be referred to the technical problems and the technical effects that can be solved by the above first aspect, which are not described herein again.

The technical scheme provided by the application at least brings the following beneficial effects: the determining device may obtain configuration information of each of the plurality of first base stations, where the configuration information includes static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain, and signal transmitting power, where the static energy consumption is energy consumption when the base station does not transmit a signal. And the determining means may determine the target total energy consumption of the plurality of first base stations based on the static energy consumption and the signal transmission power of each first base station, the target total energy consumption being a sum of the energy consumption when the plurality of first base stations transmit signals. Meanwhile, the determining device may determine a target total traffic of the plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain and the signal transmitting power, where the target total traffic is a sum of traffic of the plurality of first base stations. The determining means may then determine the target energy efficiency (i.e. energy efficiency) based on the target total energy consumption and the target total traffic. That is, the target energy efficiency may reflect a relationship between traffic of the plurality of first base stations and energy consumption of the plurality of first base stations, i.e., the target energy efficiency may reflect a balance efficiency between energy consumption and traffic and a network performance condition of the first base stations in a current state. Then, the determining device can determine the target energy saving strategy through the target energy efficiency. That is, the determining means may determine the energy saving policy in combination with the balance efficiency between the energy consumption and the traffic and the network performance condition of the first base station in the current state. Therefore, the energy consumption of the base station can be reduced, the normal operation of the service can be ensured, and the accuracy of the energy-saving strategy is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application and do not constitute an undue limitation on the application.

FIG. 1 is a schematic diagram of a communication system shown in accordance with an exemplary embodiment;

FIG. 2 is a flow chart illustrating a method of determining a power saving strategy according to an exemplary embodiment;

FIG. 3 is a flowchart illustrating another method of determining a power saving strategy according to an exemplary embodiment;

FIG. 4 is an example schematic diagram illustrating a dynamic energy consumption according to an example embodiment;

FIG. 5 is a flowchart illustrating another method of determining a power saving strategy according to an exemplary embodiment;

FIG. 6 is a block diagram of a power saving strategy determination device according to an exemplary embodiment;

fig. 7 is a schematic structural view of a determining apparatus of a power saving strategy according to an exemplary embodiment;

fig. 8 is a conceptual partial view of a computer program product according to an exemplary embodiment.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The character "/" herein generally indicates that the associated object is an "or" relationship. For example, A/B may be understood as A or B.

The terms "first" and "second" in the description and in the claims of the present application are used for distinguishing between different objects and not for describing a particular sequential order of objects.

Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may include other steps or modules not listed or inherent to such process, method, article, or apparatus.

In addition, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "e.g." should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present concepts in a concrete fashion.

Before describing the method for determining the energy saving strategy in the embodiment of the present application in detail, the implementation environment and application field Jing Jinhang of the embodiment of the present application will be described.

In recent years, with the development of communication technology, evaluation of energy saving effects of a base station is applied in various scenes. For example, a worker evaluates the energy efficiency of a base station via its measurement report. Currently, when evaluating the energy efficiency of a base station, a worker needs to obtain a measurement report of the base station. Then, the staff can evaluate the energy efficiency of the base station according to the data such as the traffic volume, the number of terminals, the utilization rate of the physical resource blocks (Physical Resource Block, PRB) and the like in the measurement report. And then, the staff can determine the energy saving strategy to be configured according to the evaluation result of the energy efficiency of the base station. The energy efficiency refers to the efficiency of using energy when the base station operates.

Illustratively, assume that the energy efficiency threshold value a of base station a includes: the traffic threshold is 1000 bits, the number of terminals threshold is 300 people, and the PRB utilization threshold is 25%. If the traffic of the base station a is greater than the traffic threshold, the number of terminals of the base station a is greater than the number of terminals threshold, and the PRB utilization of the base station a is greater than the PRB utilization threshold, the base station a needs to adopt the energy-saving policy a. If the traffic of the base station a is smaller than the traffic threshold, the number of terminals of the base station a is smaller than the number of terminals threshold, and the PRB utilization of the base station a is smaller than the PRB utilization threshold, the base station a needs to adopt the energy-saving policy B.

In summary, the staff only evaluates the energy efficiency of the base station through the traffic volume, the number of terminals and the PRB utilization rate in the measurement report of the base station, and the reference information is less, so that the accuracy of the energy efficiency evaluation result of the base station is possibly affected, and the configuration of the energy saving strategy of the base station is further affected.

In order to solve the above-mentioned problems, the embodiments of the present application provide a method for determining an energy saving policy, where a network device may determine a target total energy consumption and a target total traffic of a plurality of first base stations according to a static energy consumption, a network bandwidth, a power spectral density of additive white gaussian noise, a channel gain, and a signal transmitting power of each of the plurality of first base stations. The network device then determines a target energy efficiency based on the target total energy consumption and the target total traffic. That is, the target energy efficiency may reflect a relationship between traffic of the plurality of first base stations and energy consumption of the plurality of first base stations, i.e., the target energy efficiency may reflect a balance efficiency between energy consumption and traffic and a network performance condition of the base stations in a current state. Then, the network device can determine a target energy saving strategy through the target energy efficiency. That is, the network device may determine the energy saving policy in combination with the balance efficiency between the energy consumption and the traffic and the network performance condition of the base station in the current state. Therefore, the energy consumption of the base station can be reduced, the normal operation of the service can be ensured, and the accuracy of the energy-saving strategy is improved.

The following describes an implementation environment of an embodiment of the present application.

Fig. 1 is a schematic diagram of a communication system according to an embodiment of the present application, as shown in fig. 1, where the communication system may include: a network device (e.g., server 01 or base station) and at least one base station (e.g., base station 02, base station 03). The server 01 may obtain configuration information of the base station 02 and the base station 03 (such as network bandwidth, channel gain, signal transmitting power, power spectrum density of additive white gaussian noise and static energy consumption (i.e. energy consumption when the base station 02 and the base station 03 do not transmit signals)), and the server 01 may perform wired/wireless communication with the base station 02 and the base station 03.

For example, the server 01 may communicate with the base stations 02 and 03 via satellite communication. For another example, the server 01 may communicate with the base stations 02 and 03 by spread spectrum microwave communication. For another example, the server 01 may communicate with the base station 02 and the base station 03 through data transfer station communication.

The base stations may include various forms of base stations, for example: macro base stations, micro base stations (also referred to as small stations), relay stations, access points, and the like. The method specifically comprises the following steps: an Access Point (AP) in a wireless local area network (Wireless Local Area Network, WLAN), a base station (Base Transceiver Station, BTS) in a global system for mobile communications (Global System for Mobile Communications, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a base station (NodeB, NB) in wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA), an Evolved base station (eNB or eNodeB) in LTE, a relay station or access point, or a base station in a vehicle-mounted device, a wearable device, a future sixth generation mobile communication technology (6th Generation Mobile Communication Technology,6G) network, or a future Evolved public land mobile network (Public Land Mobile Network, PLMN) network, etc.

The server 01 may process the configuration information of the base station 02 and the base station 03, such as determining the total energy consumption and the total traffic of the base station 02 and the base station 03 from the configuration information of the base station 02 and the base station 03. The server 01 may also determine the energy efficiency of the base station 02 and the base station 03. The server 01 may also determine the energy saving policy of the base station 02 and the base station 03 according to the energy efficiency of the base station 02 and the base station 03. The server 01 may also send the energy saving policy to the base station 02, 03. The base stations 02, 03 may implement a power saving policy.

After the application scenario and the implementation environment of the embodiment of the present application are described, the method for determining the energy saving policy provided by the embodiment of the present application is described in detail below with reference to the implementation environment.

The methods in the following embodiments may be implemented in the application scenario and implementation environment described above. In the following embodiments, the server is taken as an execution body, and the embodiments of the present application are specifically described with reference to the drawings in the specification.

Fig. 2 is a flow chart illustrating a method of determining a power saving strategy according to an exemplary embodiment. As shown in fig. 2, the method may include S201-S205.

S201, the server acquires configuration information of each first base station in the plurality of first base stations.

Wherein, the configuration information may include: static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain and signal transmission power, the static energy consumption being the energy consumption when the base station is not transmitting signals.

Exemplary, the configuration information a includes: the method comprises the steps of static energy consumption A, network bandwidth A, power spectral density A of additive Gaussian white noise, channel gain A and signal transmitting power A, wherein the static energy consumption A is 2.7 kilowatts/hour, the network bandwidth A is 80 Hz, the power spectral density A of the additive Gaussian white noise is 5 watts/Hz, the channel gain A is 0.9 dB, and the signal transmitting power A is 11 watts.

The base station not transmitting a signal means that the base station does not perform service processing.

In one possible implementation, each of the plurality of first base stations may send configuration information to the server. The server may then receive configuration information from each of the plurality of first base stations.

In some embodiments, after the server obtains the configuration information of each of the plurality of first base stations, the server may classify the plurality of first base stations to determine a type of each first base station.

It should be noted that, in the embodiment of the present application, classification of the plurality of first base stations is not limited. For example, the server may be classified into a 4G base station and a 5G base station according to service types of a plurality of first base stations. For another example, the server may be divided into macro and micro stations according to signal coverage areas of a plurality of first base stations. For another example, the server may be divided into an indoor base station and an outdoor base station according to the operation scenario of the plurality of first base stations.

Exemplary, the plurality of base stations includesN ₁ Personal macro station A _h And N ₂ Personal micro station A _w Wherein macro station a _h The corresponding set is denoted as A _H ＝{A _h,m ,m∈N _i1 },N _i1 ＝{1,2,…,N ₁ Micro station A _w The corresponding set is denoted as A _W ＝{A _w,n ,n∈N _i2 },N _i2 ＝{1,2,…,N ₂ }. Wherein A is _h,m For representing N ₁ The mth macro station of the macro stations, A _w,n For representing N ₂ An nth one of the micro stations.

It will be appreciated that by categorizing each of the plurality of first base stations, each first base station may be distinguished. In this way, the server may perform different operations on different first base stations, so as to improve operability on the plurality of first base stations (refer to S202 or S203 for details, which are not described here).

S202, the server determines target total traffic of a plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive Gaussian white noise, the channel gain and the signal transmitting power.

Wherein the target total traffic is a sum of traffic of the plurality of first base stations.

In one possible design, the traffic of the first base station is the traffic of the first base station per unit time.

The embodiment of the present application is not limited to a unit time. For example, the unit time may be one second. For another example, the unit time may be one minute. For another example, the unit time may be one hour.

Illustratively, the plurality of first base stations includes base station a and base station B. The traffic of base station a in 1 minute is 10, the traffic of base station B in 1 minute is 15, and the target total traffic is 25.

In one possible implementation, the server may determine the target total traffic for the plurality of first base stations according to three steps (i.e., step one, step two, and step three). The first, second and third steps are described below, respectively.

In step one, the server may determine a gaussian white noise power value according to a network bandwidth of each of the plurality of first base stations and a power spectral density of additive gaussian white noise. Wherein the gaussian white noise power value can be expressed by formula one.

c ² ＝N _o X W is formula one.

Wherein c ² For indicating the value of Gaussian white noise power, N _o The power spectral density used to represent additive gaussian white noise, W is used to represent the bandwidth (i.e., network bandwidth) of a Resource Block (RB).

Step two, the server can determine the signal-to-noise ratio of each RB according to the gaussian white noise power value, the channel gain and the signal transmission power of each first base station. Wherein the signal-to-noise ratio of each RB can be expressed by formula two and formula three.

I＝p ₀ ×g ₀ And (3) a formula III.

Wherein SINR is used to represent the signal-to-noise ratio of each RB, p is used to represent the signal transmission power of the RB allocated by the first base station to the terminal, g is used to represent the channel gain of the RB allocated by the first base station to the terminal, I is used to represent the signal interference power received by the terminal served by the first base station from other base stations, p ₀ For indicating that the terminal served by the first base station receives signal transmitting power from other base stations g ₀ For indicating that the terminal served by the first base station received channel gains from other base stations.

Step three, the server can determine the target total traffic of the plurality of first base stations according to the network bandwidth of each first base station and the signal-to-noise ratio of each RB. Wherein the target total traffic of the plurality of first base stations can be expressed by formula four and formula five.

S _a ＝W×log ₂ (1+SINR _a ) Formula five.

Wherein R is ^T For representing N ₃ Target total traffic of first base station, S _a For representing N ₃ Transmission rate, SINR, of signals transmitted by an a-th first base station among the first base stations at each RB _a For representing N ₃ Signal-to-noise ratio of an a-th first base station in each RB among first base stations, N ₃ And a is a positive integer.

It should be noted that, the embodiment of the present application does not limit the network bandwidth. For example, the network bandwidth may be 100 hertz. As another example, the network bandwidth may be 80 hertz. As another example, the network bandwidth may be 40 hertz.

It should be noted that, in the embodiment of the present application, the manner in which the server determines the signal interference power, the signal to noise ratio, and the transmission rate corresponding to different types of base stations is different. The following describes embodiments of the present application by taking an example in which different types of base stations include macro stations and micro stations.

In one possible design, the signal interference power received by a terminal served by a macro station from other base stations may be expressed by equation six.

Wherein I is _h,m Indicating that the terminal served by the mth macro station receives signal interference power from other base stations, N _i1 ' for N ₁ The macro stations other than the mth macro station among the macro stations,for indicating that the ith macro station is u _k R allocated _l Signal transmission power of u _k For representing the kth terminal, r _l For indicating the first RB, & lt & gt>For indicating that the ith macro station is u _k R allocated _l Channel gain of>For indicating the j-th micro station as u _k R allocated _l Signal transmission power, < ">>For indicating the j-th micro station as u _k R allocated _l And k and l are positive integers. Wherein each RB is allocated to only one terminal.

The interference power of signals received by the terminal served by the micro station from other base stations can be expressed by a formula seven.

Wherein N is _i2 ' for N ₂ The micro stations except the nth macro station in the micro stations.

In one possible design, the signal-to-noise ratio of RBs allocated by a macro station for a served terminal may be represented by equation eight.

Wherein,for indicating that the mth macro station is u _k R allocated _l Signal to noise ratio of>For indicating that the mth macro station is u _k R allocated _l Signal transmission power, < ">>For indicating that the mth macro station is u _k R allocated _l Is provided.

The signal-to-noise ratio of RBs allocated by the micro station for the served terminal can be expressed by formula nine.

Wherein,for indicating the nth micro station as u _k R allocated _l Signal to noise ratio of>For indicating the nth micro station as u _k R allocated _l Signal transmission power, < ">>For indicating the nth micro station as u _k R allocated _l Is provided.

In one possible design, the transmission rate of a signal transmitted by a macro station at an RB serving terminal may be represented by equation ten.

Wherein,for indicating that the mth macro is standing at r _l Is u _k The transmission rate of the transmitted signal, W, is used to represent the bandwidth of each RB.

The transmission rate of a signal transmitted by a micro station at a terminal served by an RB can be expressed by formula eleven.

Wherein,for indicating that the nth micro-station is at r _l Is u _k Transmission rate of the transmitted signal.

In the embodiment of the present application, in the case where the plurality of first base stations includes at least one macro station and at least one micro station, the target total traffic of the plurality of first base stations may be represented by formula twelve.

Wherein R is ⁰ For representing a plurality (i.e. (N) ₁ +N ₂ ) Individual) target total traffic of the first station base station,r for representing mth macro station _l And u is equal to _k Relation between->R representing the nth micro station _l And u is equal to _k And K and L are positive integers.

Alternatively to this, the method may comprise,can be a first value or a second value, < >>May be a first value or a second value. Wherein the first value is used for indicating that the first base station does not send r _l Assigned to u _k The second value is used to indicate that the first base station has moved r _l Assigned to u _k 。/>And->May be the same or different.

It should be noted that, in the embodiments of the present application, the first value and the second value are not limited. For example, the first value may be 0 and the second value may be 1. For another example, the first value may be 2 and the second value may be 3. For another example, the first value may be 6 and the second value may be 8.

Exemplary, ifThen it indicates that the mth macro station has moved r _l Assigned to u _k If->It indicates that the mth macro station will not be r _l Assigned to u _k . If- >Then it indicates that the nth micro station has moved r _l Assigned to u _k If (if)Then it indicates that the nth micro station will not be r _l Assigned to u _k 。

S203, the server determines the target total energy consumption of the plurality of first base stations according to the static energy consumption and the signal transmitting power of each first base station.

Wherein the target total energy consumption is the sum of the energy consumption when the plurality of first base stations transmit signals.

Illustratively, the plurality of base stations includes base station a, base station B, and base station C. Wherein, the energy consumption of the base station A in the active state is 3 kilowatts/hour, the energy consumption of the base station B in the active state is 1 kilowatt/hour, the energy consumption of the base station C in the active state is 2.7 kilowatts/hour, and the total energy consumption of a plurality of base stations is 6.7 kilowatts/hour.

In the embodiment of the present application, the state of the first base station when the signal is not transmitted is a dormant state, and the state of the first base station when the signal is transmitted is an active state.

In one possible implementation, the server may determine the target total energy consumption of the plurality of first base stations according to two steps (i.e., step a and step B). Step a and step B are described below, respectively.

In step a, the server may determine the dynamic energy consumption of each first base station according to the signal transmission power of each first base station and the relationship between each RB of each first base station and each terminal. Wherein, the dynamic energy consumption is the energy consumption of the base station transmission signal. The dynamic energy consumption of the first base station can be represented by the formula thirteen.

Wherein P is ^T For representing the dynamic energy consumption of the first base station,r for representing a first base station _l And u is equal to _k Relation between->For indicating the first base station as u _k R allocated _l Is the initial coefficient.

And B, the server can determine the target total energy consumption of the plurality of first base stations according to the dynamic energy consumption and the static energy consumption of each first base station. Wherein the target total energy consumption of the plurality of first base stations can be represented by formula fourteen and formula fifteen.

Wherein P is ⁰ For representing N ₃ Target total energy consumption of first base station, P _b For representing N ₃ The target energy consumption (i.e. the sum of dynamic energy consumption and static energy consumption) of the b-th first base station of the first base stations,for representing N ₃ Static energy consumption of the b-th first base station of the first base stations,/and the second base station>For representing N ₃ Dynamic energy consumption, N, of the b-th first base station of the first base stations ₃ And b is a positive integer.

It should be noted that, in the embodiment of the present application, the manner in which the server determines the dynamic energy consumption of different types of base stations is different. The following describes embodiments of the present application by taking an example in which different types of base stations include macro stations and micro stations.

In one possible design, the dynamic power consumption of the macro station may be represented by the formula sixteen.

Wherein,for representing the dynamic energy consumption of the mth macro station.

The dynamic energy consumption of the micro-station can be expressed by the formula seventeen.

Wherein,for representing the dynamic power consumption of the nth micro station.

In an embodiment of the present application, in a case where the plurality of first base stations includes at least one macro station and at least one micro station, the target total energy consumption of the plurality of first base stations may be represented by a formula eighteen.

Wherein P is ¹ For representing a plurality (i.e. (N) ₁ +N ₂ ) Individual) target total energy consumption of the first station base station, M _h,m For representing the state of the mth macro station (e.g. active or dormant),for representing the static energy consumption of the mth macro station, M _w,n Indicating the status of the nth micro station, +.>For representing the static energy consumption of the nth micro-station.

Alternatively, M _h,m Can be a third value or a fourth value, M _w,n And may be a third value or a fourth value. The third value is used for indicating that the first base station is in a dormant state, and the fourth value is used for indicating that the first base station is in an active state.

M is the same as that of the prior art _h,m And M is as follows _w,n May be the same or different. The third and fourth values are not limited in this embodiment. For example, the third value may be 0 and the fourth value may be 1. For another example, the third value may be 1 and the fourth value may be 3. For another example, the third value may be 5 and the fourth value may be 8.

Exemplary, if M _h,m =1, then indicates that the mth macro station is in active state, if M _h,m =0, then it indicates that the mth macro station is in sleep state; if M _w,n =1, then indicates that the nth micro station is in active state, if M _w,n =0, then the nth micro station is in sleep state.

In some embodiments, the static energy consumption of the first base station is a first energy consumption or a second energy consumption, the first energy consumption is energy consumption of the first base station in an active state except for dynamic energy consumption, and the second energy consumption is energy consumption of the first base station in a dormant state. Wherein the first energy consumption comprises a second energy consumption.

Illustratively, the first energy consumption of the first base station a in the active state is 2 kw/hour, and the second energy consumption of the first base station a in the dormant state is 3.1 kw/hour. If the first base station A is in an active state, the static energy consumption of the first base station A is 2 kilowatts/hour, and if the first base station A is in a dormant state, the static energy consumption of the first base station A is 3.1 kilowatts/hour.

In one possible implementation, the server may determine the static energy consumption of the first base station according to a first energy consumption of the first base station in an active state and a second energy consumption of the first base station in a dormant state. Wherein the static energy consumption of the first base station can be represented by the formula eighteen.

P ^J ＝M×P ^Y +(1-M)×P ^S The formula eighteen.

Wherein P is ^J For representing static energy consumption of first base station, P ^Y For indicating the first energy consumption, P, of the first base station in the active state ^S The method comprises the steps of representing second energy consumption of a first base station in a dormant state, wherein M is used for representing the state of the first base station, M is 0 or 1, M is used for indicating that the first base station is in the dormant state when M is 0, and M is used for indicating that the first base station is in an active state when M is 1.

It should be noted that, in the process that the server determines the static energy consumption (i.e., the first energy consumption) of each first base station in the active state and the static energy consumption (i.e., the second energy consumption) of each first base station in the dormant state, the manner that the static energy consumption of the base station in the active state and the static energy consumption of the base station in the dormant state are determined by the operation data of the base station in the conventional technology may be referred to, which is not repeated herein.

It should be noted that, in the embodiment of the present application, the manner in which the server determines the static energy consumption of different types of base stations is different. The following describes embodiments of the present application by taking an example in which different types of base stations include macro stations and micro stations.

In one possible design, the static power consumption of the macro station may be represented by the formula nineteenth.

Wherein,for indicating a first energy consumption of the mth macro station in active state,/and/or >For indicating a second power consumption of the mth macro station in the sleep state.

In one possible design, the static energy consumption of the micro-station may be represented by equation twenty.

Wherein,for indicating the first energy consumption of the nth micro-station in active state, +.>For indicating a second power consumption of the nth micro station in the sleep state.

Note that the order of execution of S202 and S203 is not limited in the embodiment of the present application. For example, the server may perform S202 first and then S203. For another example, the server may perform S203 first and then S202. For another example, the server may perform S202 and S203 simultaneously.

S204, the server determines target energy efficiency according to the target total energy consumption and the target total traffic.

Wherein the target energy efficiency is a ratio between the target total energy consumption and the target total traffic. That is, the target energy efficiency may reflect the energy efficiency when the plurality of first base stations as a whole.

In one possible design, the server may determine the target energy efficiency for the plurality of first base stations based on a ratio between the target total traffic for the plurality of first base stations and the target total energy consumption.

In the embodiment of the application, the target total traffic is a numerator and the target total energy consumption is a denominator. The target energy efficiency of the plurality of first base stations can be represented by formula twenty-one.

Wherein I is _EER For representing a target energy efficiency of the plurality of first base stations, R for representing a target total traffic of the plurality of first base stations, and P for representing a target total energy consumption of the plurality of first base stations.

Thus, the target energy efficiency is positively correlated with the target total traffic completed and negatively correlated with the target total energy consumption consumed. That is, the larger the target energy efficiency, the larger the amount of traffic per unit energy consumption is completed. The smaller the target energy efficiency, the smaller the traffic volume per unit energy consumption is completed.

In another possible design, the server may determine the target energy efficiency for the plurality of first base stations based on a ratio between the target total energy consumption and the target total traffic for the plurality of first base stations.

In the embodiment of the application, the target total energy consumption is a numerator and the target total traffic is a denominator. Wherein the target energy efficiency of the plurality of first base stations can be represented by the formula twenty-two.

Thus, the target energy efficiency is positively correlated with the target total energy consumption completed and negatively correlated with the target total traffic consumed. That is, the greater the target energy efficiency, the greater the energy consumed per unit of traffic. The smaller the target energy efficiency, the less energy is consumed per unit of traffic.

S205, the server determines a target energy saving strategy according to the target energy efficiency.

In one possible implementation manner, the server stores a preset corresponding relationship, where the preset corresponding relationship is a corresponding relationship between a preset energy saving policy and a preset energy efficiency. The server may determine whether there is a preset energy efficiency that is the same as the target energy efficiency. If the preset energy efficiency is the same as the target energy efficiency, the server can determine the target energy saving strategy according to the target energy efficiency and the preset corresponding relation.

Illustratively, the server stores energy conservation policy A, energy conservation policy B, energy efficiency A, and energy efficiency B. Wherein, energy efficiency A is 10, energy efficiency B is 7, energy saving strategy A corresponds to energy efficiency A, and energy saving strategy B corresponds to energy efficiency B. If the target energy efficiency A is 10, the target energy efficiency A is the same as the energy efficiency A, and the target energy saving strategy A is determined to be the energy saving strategy A. If the target energy efficiency B is 7, the target energy efficiency B is the same as the energy efficiency B, and the target energy saving strategy B is determined to be the energy saving strategy B.

The technical scheme provided by the embodiment at least brings the following beneficial effects: the determining device may obtain configuration information of each of the plurality of first base stations, where the configuration information includes static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain, and signal transmitting power, where the static energy consumption is energy consumption when the base station does not transmit a signal. And the determining means may determine the target total energy consumption of the plurality of first base stations based on the static energy consumption and the signal transmission power of each first base station, the target total energy consumption being a sum of the energy consumption when the plurality of first base stations transmit signals. Meanwhile, the determining device may determine a target total traffic of the plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain and the signal transmitting power, where the target total traffic is a sum of traffic of the plurality of first base stations. The determining means may then determine the target energy efficiency based on the target total energy consumption and the target total traffic. That is, the target energy efficiency may reflect a relationship between traffic of the plurality of first base stations and energy consumption of the plurality of first base stations, i.e., the target energy efficiency may reflect a balance efficiency between energy consumption and traffic and a network performance condition of the first base stations in a current state. Then, the determining device can determine the target energy saving strategy through the target energy efficiency. That is, the determining means may determine the energy saving policy in combination with the balance efficiency between the energy consumption and the traffic and the network performance condition of the first base station in the current state. Therefore, the energy consumption of the base station can be reduced, the normal operation of the service can be ensured, and the accuracy of the energy-saving strategy is improved.

In some embodiments, as shown in fig. 3, in the method for determining a power saving policy, S203 may include S301 to S303.

S301, the server determines the dynamic energy consumption of each first base station according to the signal transmitting power of each first base station and the preset weight.

Wherein, the dynamic energy consumption is the energy consumption of the base station transmission signal.

In one possible design, the dynamic power consumption of the first base station may include the power consumption of the power amplifier and the power consumption of the baseband module.

Optionally, the dynamic power consumption of the first base station may further include power consumption of the interface module and power consumption of the power module.

Illustratively, as shown in fig. 4, the dynamic power consumption 401 of the first base station includes: the power amplifier power consumption 402, the baseband module power consumption 403, the interface module power consumption 404 and the power supply module power consumption 405.

In one possible implementation, the server may determine the dynamic energy consumption of each first base station according to two steps, namely step (a) and step (b). Step (a) and step (b) are described below, respectively.

In step (a), the server may determine the preset weight according to the first initial coefficient, the second initial coefficient, the first sub-weight and the second sub-weight of the first base station. The first initial coefficient and the first sub-weight correspond to the energy consumption of the power amplifier, and the second initial coefficient and the second sub-weight correspond to the energy consumption of the baseband module. The preset weight may be represented by the formula twenty-three.

e=q1×d+q2×v formula twenty-three.

Wherein e is used for representing a preset weight of the first base station, Q1 is used for representing a first initial coefficient of the first base station, d is used for representing a first sub-weight of the first base station, Q2 is used for representing a second initial coefficient of the first base station, and v is used for representing a second sub-weight of the first base station.

It should be noted that, in the embodiment of the present application, the first sub-weight and the second sub-weight are related to a usage time of the first base station, a load amount of the first base station, and an environment (such as temperature, humidity, etc.) in which the first base station is located.

It can be appreciated that by dynamically adjusting the first sub-weight and the second sub-weight according to the usage time of the first base station, the load amount of the first base station, and the environment (such as temperature, humidity, etc.) in which the first base station is located, the accuracy of determining the dynamic energy consumption of the first base station can be improved, and thus the accuracy of the target energy efficiency can be improved.

In step (b), the server may determine the dynamic energy consumption of each first base station according to the preset weight of each first base station, the signal transmission power, and the relationship between each RB of each first base station and each terminal.

Wherein the dynamic energy consumption of each first base station can be represented by the formula twenty-four.

Wherein P is ^D For representing the dynamic energy consumption of the first base station.

It should be noted that, in the embodiment of the present application, the manner in which the server determines the preset weights and the dynamic energy consumption of the different types of base stations is different. The following describes embodiments of the present application by taking an example in which different types of base stations include macro stations and micro stations.

In one possible design, the pre-set weights for the macro station may be represented by the formula twenty-five.

e _h,m ＝(Q1 _h,m ×d _h,m +Q2 _h,m ×v _h,m ) Twenty-five formulas.

Wherein e _h,m Preset weights for representing mth macro station, Q1 _h,m First initial coefficient, d, for representing mth macro station _h,m First sub-weight for representing mth macro station, Q2 _h,m A second initial coefficient, v, for representing an mth macro station _h,m And a second sub-weight representing an mth macro station.

The preset weights of the micro-stations can be represented by the formula twenty-six.

e _w,n ＝(Q1 _w,n ×d _w,n +Q2 _w,n ×v _w,n ) The formula twenty-six.

Wherein e _w,n Preset weights for representing nth micro station, Q1 _w,n For representing a first initial coefficient, d, in the nth micro-station _w,n First sub-weight for representing nth micro-station, Q2 _w,n A second initial coefficient, v, for representing the nth micro-station _w,n And a second sub-weight representing an nth micro-station.

In one possible design, the dynamic power consumption of a macro station may be represented by the formula twenty-seven.

The dynamic energy consumption of the micro-station can be represented by the formula twenty-eight.

Wherein,for representing the dynamic power consumption of the nth micro station. />

In some embodiments, the server may determine the preset weight according to power of a signal received by a power amplifier in the first base station, power after power amplification processing of the received signal, and power consumed for processing the signal.

In one possible design, the preset weights may also satisfy the formula twenty-nine.

Wherein P is _in For representing the power of the signal received by the power amplifier in the first base station, P _out For representing the power of the power amplifier in the first base station after power amplification of the received signal, P _DC For representing the power consumed by the power amplifier in the first base station for processing the signal.

S302, the server determines target energy consumption of each first base station.

Wherein the target energy consumption is the sum of static energy consumption and dynamic energy consumption.

For example, the static energy consumption of the first base station a is 4 kw/hour, the dynamic energy consumption of the first base station a is 5 kw/hour, and the target energy consumption of the first base station a is 9 kw/hour.

In one possible implementation, the server may determine the target energy consumption of each first base station based on the static energy consumption and the dynamic energy consumption of each first base station. Wherein the target energy consumption of each first base station may be represented by the formula thirty.

P′＝P ^J +P ^D The formula thirty.

Wherein P' is used to represent the target energy consumption of the first base station.

It should be noted that, in the embodiment of the present application, the manner in which the server determines the target energy consumption of different types of base stations is different. The following describes embodiments of the present application by taking an example in which different types of base stations include macro stations and micro stations.

In one possible design, the target energy consumption of the macro station may be represented by the formula thirty-one.

Wherein,for representing the target energy consumption of the mth macro station.

The target energy consumption of the macro station may be represented by the formula thirty-two.

Wherein P' _w,n For representing the target energy consumption of the nth micro station.

S303, the server determines the target total energy consumption of the plurality of first base stations according to the target energy consumption of each first base station.

In one possible implementation, the server may determine the target total energy consumption of the plurality of first base stations based on the target energy consumption of each first base station. Wherein the target total energy consumption of the plurality of first base stations can be represented by the formula thirty-three.

Wherein P is ² For representing N ₃ Target total energy consumption, P 'of the first base station' _x For representing N ₃ Target energy consumption of the x first base station in the first base stations.

In the embodiment of the present application, in the case where the plurality of first base stations includes at least one macro station and at least one micro station, the target total energy consumption of the plurality of first base stations may be represented by the formula thirty-four.

Wherein P is ³ For representing a plurality (i.e. (N) ₁ +N ₂ ) Individual) target total energy consumption of the first station base station.

It will be appreciated that the energy consumption for handling the traffic in the dynamic energy consumption of the first base station may be determined according to the preset weights. And then, determining the target total energy consumption of the plurality of first base stations according to the static energy consumption of each first base station and the energy consumption of each first base station for processing the traffic. Thus, the target total energy consumption of the plurality of first base stations can reflect the relation between the target total traffic of the plurality of first base stations, and further accuracy of the evaluation result of the target energy efficiency on the network performance condition of the first base stations in the current state is improved.

In some embodiments, as shown in fig. 5, the method of determining a power saving policy may further include S501-S502 before S201.

S501, the server acquires configuration information of a plurality of second base stations.

Wherein the plurality of second base stations includes a plurality of first base stations.

Illustratively, the plurality of second base stations includes base station a, base station B, and base station C, and the plurality of first base stations includes base station a and base station C.

S502, the server determines configuration information meeting preset conditions in the configuration information of the plurality of second base stations as target configuration information.

The target configuration information is configuration information of a plurality of first base stations.

In one possible implementation, the server stores preset conditions. The server may determine whether configuration information of the plurality of second base stations satisfies a preset condition. If the configuration information meeting the preset conditions exists in the configuration information of the plurality of second base stations, the configuration information meeting the preset conditions is determined to be target configuration information.

In one possible design, the configuration information may also include at least one of: the number of terminals served by the base station and the number of service alarms. The preset condition may include at least one of: the sum of the number of terminals served by the base stations of the plurality of second base stations is greater than a preset terminal number threshold, and the number of service alarms of each of the plurality of second base stations is less than a preset alarm number threshold.

The plurality of base stations include a base station a, a base station B, and a base station C, the preset alert number threshold is 5, and the preset terminal number threshold is 100. If the number of terminals served by the base station a is 30, the number of service alarms is 1, the number of terminals served by the base station B is 45, the number of service alarms is 6, the number of terminals served by the base station C is 57, and the number of service alarms is 0. The service alarm number of the base station A is determined to be smaller than the preset alarm number threshold, the service alarm number of the base station B is determined to be larger than the preset alarm number threshold, and the service alarm number of the base station C is determined to be smaller than the preset alarm number threshold. And the sum of the terminal numbers of the base station A and the base station C is 132, and the sum of the terminal numbers of the base station A and the base station C is determined to be larger than a preset terminal number threshold value. Thus, it is determined that the base station a and the base station C satisfy the preset condition.

In another possible design, the configuration information may further include: reference signal received power (Reference Signal Receiving Power, RSRP) of the base station; the preset conditions may further include: the RSRP of the second base station is larger than a preset minimum RSRP, the sum of the total signal transmission rates sent by the plurality of second base stations to the terminal is larger than the preset minimum transmission rate, the traffic of the second base station in unit time is smaller than the preset maximum traffic, and the transmitting power of the signal sent by the second base station on each RB as the terminal is larger than the transmitting power of the preset minimum signal. Wherein the total signal transmission rate is the sum of transmission rates of signals transmitted as terminals by the second base station on a plurality of RBs.

The server stores a preset condition a, which includes: the RSRP of the base station is larger than a preset minimum RSRP, the sum of the total signal transmission rates of the plurality of second base stations transmitted as the terminals is larger than the preset minimum transmission rate, the service volume of each second base station in the plurality of second base stations in unit time is smaller than the preset maximum service volume, and the transmitting power of the signal transmitted as the terminal by each second base station in the plurality of second base stations on each RB is larger than the transmitting power of the preset minimum signal. Wherein, the preset minimum RSRP is 50 milliwatt decibels, the preset minimum transmission rate is 80 bits/second, the preset maximum traffic is 120 bits, and the preset minimum signal transmitting power is 2 watts. If the RSRP in the configuration information of the base station a is 56 milliwatt db, the sum of transmission rates of signals sent to the terminal is 50 bits/second on a plurality of RBs, the traffic in unit time is 100 bits, and the transmission power of signals sent to the terminal on each RB is 5 watts; in the configuration information of the base station B, RSRP is 44 mW dB, the sum of transmission rates of signals sent to the terminal is 25 bits/second, the traffic in unit time is 123 bits, and the transmitting power of signals sent to the terminal on each RB is 1W; in the configuration information of the base station C, RSRP is 77 milliwatt db, the sum of transmission rates of signals transmitted to the terminal is 40 bits/second on a plurality of RBs, the traffic in unit time is 110 bits, and the transmission power of signals transmitted to the terminal on each RB is 3 watts. Determining that the RSRP of the base station A is larger than a preset minimum RSRP, the traffic in unit time is smaller than a preset maximum traffic, and the transmitting power of a signal transmitted as a terminal on each RB is larger than a preset minimum signal transmitting power; determining that the RSRP of the base station B is smaller than a preset minimum RSRP, the traffic in unit time is larger than a preset maximum traffic, and transmitting power of a signal transmitted as a terminal on each RB is smaller than a preset minimum signal transmitting power; and determining that the RSRP of the base station C is larger than a preset minimum RSRP, the traffic in unit time is smaller than a preset maximum traffic, and the transmitting power of a signal transmitted as a terminal on each RB is larger than a preset minimum signal transmitting power. And the sum of the total signal transmission rates sent by the base station A and the base station C to the terminal is 90 bits/second, and the sum of the total signal transmission rates sent by the base station A and the base station C to the terminal is determined to be larger than the preset minimum transmission rate. Thus, it is determined that the base station a and the base station C satisfy the preset condition.

It should be noted that, the preset terminal number threshold value, the preset maximum traffic volume, the preset minimum signal transmission power and the preset minimum transmission rate in the preset conditions are related to a time period, weather, seasons, emergencies (such as a concert, etc.), a public praise scene (such as a scenic spot, a university, a subway, a stadium, a high-speed rail, etc.), and traffic information (such as a traffic volume, etc.).

The server determines, as target configuration information, configuration information satisfying a preset condition among the configuration information of the plurality of second base stations.

Illustratively, the plurality of base stations includes base station a, base station B, and base station C. The configuration information A of the base station A meets the preset condition, the configuration information B of the base station B does not meet the preset condition, and the configuration information C of the base station C meets the preset condition, and the configuration information A and the configuration information C are determined to be target configuration information.

It can be understood that, according to the preset condition, the configuration information meeting the preset condition in the configuration information of the plurality of second base stations can be determined as the configuration information of the plurality of first base stations, so that the accuracy of the configuration information of the plurality of first base stations is improved, the accuracy of energy efficiency is further improved, a valuable reference is provided for reasonably configuring the energy saving strategy for the determining device, the accuracy of configuring the energy saving strategy for the base stations is improved, and the energy saving efficiency of the base stations is improved.

The foregoing description of the solution provided by the embodiments of the present application has been presented mainly from the perspective of a computer device. It will be appreciated that the computer device, in order to carry out the functions described above, comprises corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative power saving strategy determination method steps described in connection with the embodiments disclosed herein may be implemented as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the application also provides a device for determining the energy saving strategy. The device for determining the energy saving strategy may be a computer device, a CPU in the computer device, a processing module in the computer device for determining the energy saving strategy, or a client in the computer device for determining the energy saving strategy.

The embodiment of the application may divide the functional modules or functional units according to the determination of the energy saving policy by the above method example, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice.

Fig. 6 is a schematic structural diagram of a determining device for an energy saving strategy according to an embodiment of the present application. The determining device of the energy saving strategy is used for executing the determining method of the energy saving strategy shown in fig. 2, 3 or 5. The energy saving policy determining device 600 includes an obtaining module 601 and a processing module 602.

An obtaining module 601, configured to obtain configuration information of each of a plurality of first base stations, where the configuration information includes: static energy consumption, network bandwidth, power spectral density of additive white gaussian noise, channel gain and signal transmission power, the static energy consumption being the energy consumption when the base station is not transmitting signals. A processing module 602, configured to determine a target total traffic of the plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain, and the signal transmission power, where the target total traffic is a sum of the traffic of the plurality of first base stations. The processing module 602 is further configured to determine a target total energy consumption of the plurality of first base stations according to the static energy consumption and the signal transmission power of each first base station, where the target total energy consumption is a sum of energy consumption of the plurality of first base stations when transmitting signals. The processing module 602 is further configured to determine a target energy efficiency according to the target total energy consumption and the target total traffic. The processing module 602 is specifically configured to determine a target energy saving policy according to the target energy efficiency.

Optionally, the processing module 602 is further configured to determine, according to the signal transmission power of each first base station and the preset weight, dynamic energy consumption of each first base station, where the dynamic energy consumption is energy consumption of a base station transmitting a signal. The processing module 602 is further configured to determine a target energy consumption of each first base station, where the target energy consumption is a sum of static energy consumption and dynamic energy consumption. The processing module 602 is further configured to determine a target total energy consumption of the plurality of first base stations according to the target energy consumption of each first base station.

Fig. 7 shows still another possible configuration of the determination device of the energy saving strategy involved in the above embodiment. The energy saving strategy determining device comprises: a processor 701 and a communication interface 702. The processor 701 is configured to control and manage the actions of the apparatus, for example, performing various steps in the method flows shown in the method embodiments described above, and/or for performing other processes of the techniques described herein. The communication interface 702 is used to support communication of the power saving policy determination device with other network entities. The power saving policy determination means may further comprise a memory 703 and a bus 704, the memory 703 being for storing program codes and data of the device.

Wherein the processor 701 may implement or execute the various exemplary logic blocks, elements, and circuits described in connection with the present disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. A processor may also be a combination that performs computing functions, e.g., including one or more microprocessors, digital signal processors (digital signal processor, DSPs), and combinations of microprocessors, etc.

The memory 703 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.

Bus 704 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. The bus 704 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 7, but not only one bus or one type of bus.

In actual implementation, the acquisition module 601 may be implemented by the communication interface 702 shown in fig. 7, and the processing module 602 may be implemented by the processor 701 shown in fig. 7 calling the program code in the memory 703. The specific implementation process may refer to the description of the method part for determining the energy saving strategy shown in fig. 2, 3 or 5, and will not be repeated here.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

The present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of determining a power saving strategy in the method embodiments described above.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a computer, the instructions cause the computer to execute the method for determining the energy saving strategy in the method flow shown in the method embodiment.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a register, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Fig. 8 schematically illustrates a conceptual partial view of a computer program product provided by an embodiment of the present application, the computer program product comprising a computer program for executing a computer process on a computing device.

In one embodiment, a computer program product is provided using signal bearing medium 800. Signal bearing medium 800 may include one or more program instructions that when executed by one or more processors may provide the functionality or portions of the functionality described above with respect to fig. 2, 3, or 5. Thus, for example, referring to the embodiment shown in FIG. 2, one or more features of S201-S205 may be carried by one or more instructions associated with signal bearing medium 800. Further, the program instructions in fig. 8 also describe example instructions.

In some examples, signal bearing medium 800 may comprise a computer readable medium 801 such as, but not limited to, a hard disk drive, compact Disk (CD), digital Video Disk (DVD), digital tape, memory, read-only memory (ROM), or random access memory (random access memory, RAM), among others.

In some implementations, the signal bearing medium 800 may comprise a computer recordable medium 802 such as, but not limited to, memory, read/write (R/W) CD, R/W DVD, and the like.

In some implementations, the signal bearing medium 800 may include a communication medium 803 such as, but not limited to, a digital and/or analog communication medium (e.g., fiber optic cable, waveguide, wired communications link, wireless communications link, etc.).

The signal bearing medium 800 may be conveyed by a communication medium 803 in wireless form. The one or more program instructions may be, for example, computer-executable instructions or logic-implemented instructions.

Since the determining apparatus, the computer-readable storage medium, and the computer program product of the energy saving policy in the embodiments of the present application may be applied to the above-mentioned method, the technical effects that can be obtained by the determining apparatus, the computer-readable storage medium, and the computer program product may also refer to the above-mentioned method embodiments, and the embodiments of the present application are not described herein again.

The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for determining a power saving strategy, the method comprising:

acquiring configuration information of each first base station in a plurality of first base stations, wherein the configuration information comprises: static energy consumption, network bandwidth, power spectral density of additive Gaussian white noise, channel gain and signal transmitting power, wherein the static energy consumption is energy consumption when a base station does not transmit signals;

Determining a target total traffic of the plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain and the signal transmitting power, wherein the target total traffic is the sum of the traffic of the plurality of first base stations;

determining the dynamic energy consumption of each first base station according to the signal transmitting power of each first base station and preset weight, wherein the dynamic energy consumption is the energy consumption of the base station for transmitting signals;

determining target energy consumption of each first base station, wherein the target energy consumption is the sum of the static energy consumption and the dynamic energy consumption;

determining target total energy consumption of the plurality of first base stations according to the target energy consumption of each first base station, wherein the target total energy consumption is the sum of the energy consumption of the plurality of first base stations when transmitting signals;

determining a target energy efficiency according to the target total energy consumption and the target total traffic;

and determining a target energy-saving strategy according to the target energy efficiency.

2. The method of claim 1, wherein prior to the obtaining configuration information for each of the plurality of first base stations, the method further comprises:

Acquiring the configuration information of a plurality of second base stations;

the obtaining the configuration information of each first base station in the plurality of first base stations includes:

and determining the configuration information meeting preset conditions in the configuration information of the plurality of second base stations as target configuration information, wherein the target configuration information comprises the configuration information of the plurality of first base stations.

3. The method of claim 2, wherein the configuration information further comprises at least one of: the number of terminals served by the base station and the number of service alarms;

the preset conditions include at least one of the following:

the sum of the number of terminals served by the base stations of the plurality of second base stations is larger than a preset terminal number threshold, and the service alarm number of each second base station of the plurality of second base stations is smaller than the preset alarm number threshold.

4. The method of claim 1, wherein the plurality of first base stations comprises: fourth generation mobile communication technology 4G base station and/or fifth generation mobile communication technology 5G base station; or,

the plurality of first base stations includes: fourth generation mobile communication technology 4G base station and/or fifth generation mobile communication technology 5G base station and/or sixth generation mobile communication technology 6G base station.

5. An apparatus for determining an energy conservation strategy, the apparatus comprising:

the device comprises an acquisition module, a configuration module and a configuration module, wherein the acquisition module is used for acquiring configuration information of each first base station in a plurality of first base stations, and the configuration information comprises: static energy consumption, network bandwidth, power spectral density of additive Gaussian white noise, channel gain and signal transmitting power, wherein the static energy consumption is energy consumption when a base station does not transmit signals;

a processing module, configured to determine a target total traffic of the plurality of first base stations according to the network bandwidth of each first base station, the power spectral density of the additive white gaussian noise, the channel gain, and the signal transmission power, where the target total traffic is a sum of traffic of the plurality of first base stations;

the processing module is further configured to determine, according to the signal transmission power and a preset weight of each first base station, dynamic energy consumption of each first base station, where the dynamic energy consumption is energy consumption of a base station for transmitting signals;

the processing module is further configured to determine a target energy consumption of each first base station, where the target energy consumption is a sum of the static energy consumption and the dynamic energy consumption;

the processing module is further configured to determine a target total energy consumption of the plurality of first base stations according to the target energy consumption of each first base station, where the target total energy consumption is a sum of energy consumption when the plurality of first base stations transmit signals;

The processing module is further used for determining target energy efficiency according to the target total energy consumption and the target total traffic;

the processing module is specifically configured to determine a target energy saving policy according to the target energy efficiency.

6. The apparatus of claim 5, wherein the device comprises a plurality of sensors,

the acquisition module is further used for acquiring the configuration information of the plurality of second base stations;

the processing module is further configured to determine, as target configuration information, the configuration information satisfying a preset condition in the configuration information of the plurality of second base stations, where the target configuration information includes the configuration information of the plurality of first base stations.

7. The apparatus of claim 6, wherein the configuration information further comprises at least one of: the number of terminals served by the base station and the number of service alarms;

the preset conditions include at least one of the following:

8. The apparatus of claim 5, wherein the plurality of first base stations comprises: fourth generation mobile communication technology 4G base station and/or fifth generation mobile communication technology 5G base station; or,

9. A power saving strategy determining apparatus, comprising: a processor and a memory; the processor and the memory are coupled; the memory is configured to store one or more programs, the one or more programs including computer-executable instructions that, when executed by the determining device of the energy saving policy, cause the determining device of the energy saving policy to perform the determining method of the energy saving policy as set forth in any one of claims 1-4.

10. A computer-readable storage medium having instructions stored therein, wherein when the instructions are executed by a computer, the computer performs the method of determining the energy saving strategy according to any one of claims 1-4.

11. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method of determining a power saving strategy according to any of claims 1-4.