CN114501596A - Multilayer network turn-off energy-saving method, device, equipment and storage medium - Google Patents

Multilayer network turn-off energy-saving method, device, equipment and storage medium Download PDF

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CN114501596A
CN114501596A CN202011146299.3A CN202011146299A CN114501596A CN 114501596 A CN114501596 A CN 114501596A CN 202011146299 A CN202011146299 A CN 202011146299A CN 114501596 A CN114501596 A CN 114501596A
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shutdown
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CN114501596B (en
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郑冰
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China Mobile Communications Group Co Ltd
China Mobile Group Hebei Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Hebei Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0203Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/04Large scale networks; Deep hierarchical networks
    • H04W84/042Public Land Mobile systems, e.g. cellular systems
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The embodiment of the invention relates to the technical field of communication, and discloses a multilayer network turn-off energy-saving method, which comprises the following steps: acquiring service volume information and position information of each cell in a preset time period; determining the same-coverage sector cluster of each cell according to the position information; determining the user service quality of the same coverage sector cluster corresponding to each cell; determining a plurality of turn-off cells according to the service quality of the user and the service volume information of a preset time period; traversing a plurality of turn-off cells according to an energy loss target function, and determining a target turn-off cell and a turn-off network layer of the target turn-off cell when the energy loss target function is minimum; the energy loss objective function represents the relation between the energy loss and the turn-off or turn-on of each cell; and closing the shutdown network layer corresponding to the target shutdown cell. Through the mode, the embodiment of the invention realizes the dynamic adjustment of network turn-off and improves the energy-saving effect.

Description

Multilayer network turn-off energy-saving method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a multilayer network turn-off energy-saving method, device, equipment and storage medium.
Background
At present, mobile communication has been integrated into the aspects of social life, and communication, communication and even the whole life style of people are changed all around. In order to improve the capacity of a communication system and enhance user experience, an operator adopts a multilayer networking architecture according to different frequency license plates and systems, and preliminarily divides a multilayer network into a covering layer and a capacity layer according to the frequency band bandwidth, the frequency height and the like of the multilayer network. However, the rate of 5G will be improved by 1000 times compared to the Fourth generation mobile communication technology (4G). However, as the number of base stations installed and the number of service users increases sharply, data throughput increases exponentially, which results in a dramatic increase in energy consumption, and Mobile Network Operators (MNOs) pay high electric charges. According to survey, the communication industry consumes more than 300 hundred million degrees of electricity in energy per year, and keeps continuously increasing at a rate of 15-20% per year. Therefore, power saving in communication systems has become an imminent problem.
In the prior art, the deployment of network communication resources is determined according to peak Service requirements, and considering that the energy loss of a base station accounts for more than 70% of the total energy consumption of a communication network, a low-load base station can be adjusted to be in a dormant state to reduce the energy consumption, and meanwhile, the transmission power of an adjacent base station is increased or the quality of Service (QoS) of a network and a user is guaranteed through a base station cooperation technology, so that the dynamic network management based on the above is a resource allocation technology with a great application prospect. However, in the prior art, the base station is selectively turned off at night to achieve the purpose of saving energy, and the energy-saving operation cannot be better performed during daytime load peak.
Disclosure of Invention
In view of the foregoing problems, embodiments of the present invention provide a method, an apparatus, a device and a storage medium for energy saving shutdown of a multi-layer network, so as to solve the technical problems in the prior art that an energy saving effect is poor and energy saving cannot be dynamically adjusted.
According to an aspect of an embodiment of the present invention, there is provided a multi-layer network shutdown energy saving method, including:
acquiring service volume information and position information of each cell in a preset time period;
determining the same-coverage sector cluster of each cell according to the position information;
determining the user service quality of the same coverage sector cluster corresponding to each cell;
determining a plurality of turn-off cells and a plurality of service cells according to the user service quality and the service volume information in a preset time period;
traversing the multiple turn-off cells according to an energy loss objective function, and determining a target turn-off cell, a turn-off network layer of the target turn-off cell and a target service cell when the energy loss objective function is minimum; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
and closing the shutdown network layer corresponding to the target shutdown cell.
In an optional manner, before obtaining the traffic information and the location information of each cell in a preset time period, the method further includes:
acquiring the service volume of each cell from a network management platform in real time;
and determining the low-traffic cell according to the traffic and the traffic threshold.
In an optional manner, the determining the cluster of sectors with the same coverage of each cell according to the location information further includes:
determining physical stations corresponding to the cells according to the position information;
and determining the same-coverage sector cluster of each cell through the iterative aggregation of the minimum included angle under the physical station.
In an optional manner, determining a cluster of sectors with same coverage of each cell by iterative aggregation with a minimum included angle under the physical station includes:
sequencing all cells under the same physical station in sequence according to azimuth angles;
sequentially solving azimuth angle difference values among all cell azimuth angles;
combining the two cells with the minimum azimuth difference value into a sector;
and sequencing the sectors serving as new cells and the rest cells according to azimuth angles, and performing the step of calculating the azimuth angle difference value of each cell and combining the two cells with the minimum azimuth angle difference value into one sector until the azimuth angle difference value between the cells is greater than a first preset difference value, so as to obtain the same-coverage sector cluster of each cell.
In an optional manner, determining the user service quality of the same-coverage sector cluster corresponding to each cell includes:
calculating the receiving power of the first user for receiving the f-layer frequency band signals from each base station;
determining channel vectors of users in the same-coverage sector cluster according to the received power;
calculating a signal-to-noise ratio according to the channel vector, the precoding vector of the first user and noise;
and when the signal-to-noise ratio is greater than or equal to the signal-to-noise ratio threshold value, determining that the base station meets the service quality of the first user.
In an optional manner, after the network layer corresponding to the target shutdown cell is turned off for the preset time period, the method further includes:
acquiring the current traffic of the same coverage sector cluster corresponding to a target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
According to another aspect of the embodiments of the present invention, there is provided a multi-layer network shutdown energy saving device, including:
the acquisition module is used for acquiring the traffic information and the position information of each cell in a preset time period;
a first determining module, configured to determine a same-coverage sector cluster of each cell according to the location information;
a second determining module, configured to determine user service quality of a same coverage sector cluster corresponding to each cell;
a third determining module, configured to determine multiple turn-off cells and multiple serving cells according to the user service quality and the traffic information in a preset time period;
a shutdown determination module, configured to traverse the multiple shutable cells according to an energy loss objective function, and determine a target shutdown cell, a shutdown network layer of the target shutdown cell, and a target serving cell that minimize the energy loss objective function; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
and the shutdown module is used for shutting down the shutdown network layer corresponding to the target shutdown cell.
In an optional manner, after the network layer corresponding to the target shutdown cell is turned off for the preset time period, the method further includes:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
According to another aspect of the embodiments of the present invention, there is provided a multi-layer network shutdown energy saving device, including:
the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation of the multi-layer network shutdown energy-saving method.
According to another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium having at least one executable instruction stored therein, which when running on a multi-layer network turn-off power saving device, causes the multi-layer network turn-off power saving device to perform the operations of the multi-layer network turn-off power saving method described above.
The method comprises the steps that a plurality of cells capable of being turned off are determined by obtaining service volume information of preset time periods of all the cells and user service quality of a same covered sector cluster; and traversing the multiple turn-off cells according to the energy loss target function, and determining the target turn-off cell and the turn-off network layer of the target turn-off cell when the energy loss target function is minimum, so that the beneficial effects of dynamically turning off the network layer and realizing real-time dynamic energy saving are achieved.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
Drawings
The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flowchart illustrating a multi-layer network shutdown energy saving method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a multi-layer network shutdown energy-saving device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a multi-layer network shutdown energy saving device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.
Fig. 1 is a flowchart illustrating a multi-layer network shutdown energy-saving method according to an embodiment of the present invention, where the method is performed by a multi-layer network shutdown energy-saving device. The multi-layer network turn-off energy-saving device can be a computer device, a terminal device and the like. The multi-layer network of the embodiment of the invention refers to a plurality of network layers of a cell, and the network layers at least comprise an overlay layer and a capacity layer of the cell. As shown in fig. 1, the method comprises the steps of:
step 110: and acquiring the traffic information and the position information of each cell in a preset time period.
The method comprises the steps of obtaining the service volume of each cell from a network management platform in real time. After the service volume of each cell is obtained, the cells are preliminarily classified according to the service volume of each cell, and the low-service-volume cell is determined according to the service volume and the service volume threshold. In the embodiment of the present invention, a specific numerical value of the traffic threshold is not specifically limited, for example, the traffic threshold may be 200, and a cell in which the number of current network users is lower than 200 is determined as a low traffic cell.
Step 120: and determining the same-coverage sector cluster of each cell according to the position information.
After the location information of each cell is obtained, the physical station corresponding to each cell may be determined according to the location information.
The location information includes longitude and latitude of cells, and the specific method for determining the physical station corresponding to each cell includes:
the minimum longitude and latitude of the cell longitude and latitude of the same physical station number (physical cell number) is used as the base station longitude and latitude. Specifically, the longitude and the latitude of the cell of the same physical station number are summed to obtain the sum of the longitude and the latitude. And determining the longitude and latitude of the cell with the minimum sum of the longitude and latitude in the same physical station number as the longitude and latitude of the base station. And when the longitude and latitude of the cell with the minimum sum of the at least two longitudes and latitudes exist, determining the longitude and latitude of the cell with the minimum sum of the at least two longitudes and latitudes, and using the longitude and latitude of the cell with the minimum sum of the at least two longitudes and latitudes as the longitude and latitude of the base station.
Because the physical station number is fixed and the central longitude and latitude corresponding to the physical station number is fixed, each time a circle is drawn by taking a first preset distance as a radius according to the central longitude and latitude, the stations in the circle are counted as a physical station, a single logical station can only be assigned to one physical station and cannot be repeatedly calculated, and therefore the physical station to which each cell belongs is determined. I.e. which cells are under the same physical station is determined in the manner described above. Wherein, the first preset distance may be 50 cm.
After the physical station to which each cell belongs is determined, judging the same-coverage sector of the whole network base station, and specifically determining the same-coverage sector cluster of each cell through the minimum included angle iterative aggregation under the physical station. The method comprises the following steps:
the cells under the same physical station are ordered sequentially according to azimuth angles, specifically, the ordering may be from small to large, starting from 0 degrees, for example: A. b, C, D, E, F, G, H, I;
sequentially solving azimuth angle difference values between the azimuth angles of all the cells, such as A-I, B-A, C-B, D-C, I-H;
combining the two cells with the minimum azimuth difference value into a sector; specifically, from 0 degree, the azimuth angle difference is the smallest, and the two cell azimuth angles are averaged ((a + B)/2), and combined into sector a, and the azimuth angle average corresponding to sector a is determined. And a decimal point is reserved in the calculation process, and no rounding operation is performed.
And sequencing the sectors serving as new cells and the rest cells according to azimuth angles, and performing the step of calculating the azimuth angle difference value of each cell and combining the two cells with the minimum azimuth angle difference value into one sector until the azimuth angle difference value between the cells is greater than a first preset difference value, so as to obtain the same-coverage sector cluster of each cell. The first preset difference may be 30 degrees.
After all aggregated cells are aggregated into sectors, each sector is named (e.g., according to physical station number-1, 2, sequential reference number), and the mean azimuth (rounded up by the virtual azimuth) of each sector is presented in an output detail table. All cells can only belong to one physical sector and can not be repeatedly calculated.
Step 130: and determining the user service quality of the same covered sector cluster corresponding to each cell.
In the embodiment of the present invention, on the premise of the QoS factor, after the network layer of a certain cell is closed, if the user QoS is affected, the network layer corresponding to the cell cannot be closed.
Specifically, the method comprises the following steps:
calculating the receiving power of the first user for receiving the f-layer frequency band signals from each base station:
in the embodiment of the present invention, it is assumed that the first user k is located in an overlapping coverage area of N' base stations (i.e., a same coverage sector cluster), and the type of the overlapping coverage area where the first user is located is determined by combining background data and the position of the first user, so as to determine whether the first user is a local station multi-layer network cell or an adjacent station multi-layer network cell. The received signal vector y for the first user kn,f,kCan be expressed as:
Figure BDA0002739842470000071
wherein h isn,f,k∈C1×MIs the channel vector, σ, of the first user k2Is Gaussian white noise, xk∈CM×1Precoded signal for a first user k, xl∈CM×1Is the pre-coded signal of the first user l.
Under the condition of considering large-scale fading, determining a channel vector of a first user k in the same-coverage sector cluster according to the received power:
Figure BDA0002739842470000072
wherein h isn,f,k∈C1×MIs the channel vector for the first user k,
Figure BDA0002739842470000073
and receiving the received power of the f-layer frequency band signal from the n-th base station for the first user k.
The inter-user interference is eliminated by Zero-Forcing (ZF) precoding, i.e.:
xk=vksk
wherein v iskIs the precoding vector, s, of user kkA signal is transmitted for the user. For vkUsing joint channel hkPerforming precoding to calculate a precoding vector vkFirst, it is necessary to channel hkCarrying out normalization processing, namely:
gk=hk/||hk||
vk=gk'*inv(gk*gk')
wherein, | | hkI is the solving vector hkEuclidean norm of gkIs' gkThe transposing of (1).
Therefore, the channel vector h of the first user k is known to the transmitting endn,f,kReceiving the signal toQuantity yn,f,kAnd transmit signal vector xkBy the above formula, the channel vector h for the first user k can be determinedn,f,kPrecoding vector v of the first userkAnd noise. Thus, the signal-to-noise ratio SINR is calculated from the channel vector, the precoding vector and the noise of the first usern,f,kThe formula is as follows:
Figure BDA0002739842470000081
and when the signal-to-noise ratio is greater than or equal to the signal-to-noise ratio threshold value, determining that the base station meets the service quality of the first user. Namely: when the cell satisfies the condition SINRk≥SINRl,
Figure BDA0002739842470000084
Then, the cell is determined to be the serving cell. In the embodiment of the invention, the signal-to-noise ratio threshold SINRlTypically 10 dB.
Step 140: and determining a plurality of turn-off cells and a plurality of service cells according to the user service quality and the service volume information in a preset time period.
Determining each low traffic cell according to the fineness of the traffic, determining whether the low traffic cell is a serving base station according to the service quality of a user, that is, when a network layer corresponding to the low traffic cell is closed, the service quality of the low traffic cell is greatly influenced, that is, when the current signal-to-noise ratio corresponding to the user in the low traffic cell is less than the signal-to-noise ratio threshold, the low traffic cell should not be closed, and determining that the low traffic cell is the serving cell. Namely, the serving base station is determined from the same-coverage sector cluster, and the rest cells are the cells which can be switched off, so that the cell cluster which can be switched off and the serving cell cluster are obtained.
Step 150: traversing the multiple turn-off cells and the multiple service cells according to an energy loss objective function, and determining a target turn-off cell, a turn-off network layer of the target turn-off cell and a target service cell when the energy loss objective function is minimum; wherein the energy loss objective function characterizes a relationship between the energy loss and the turn-off or turn-on of each cell.
Wherein the energy loss objective function is:
Figure BDA0002739842470000082
Figure BDA0002739842470000083
wherein, Ptx-maxFor maximum transmitting power, t is any time point in a preset time period gamma, PBSFor accumulated base station energy loss, P, over a preset time period ΓBS,tFor the energy loss of the base station at the t-th time slot, Pt,fWhich represents the transmit power of the t-th slot of the base station on frequency band f. The energy loss objective function represents the relation between the energy loss and the turn-off or turn-on of each cell.
Therefore, according to the energy loss objective function and the constraint condition, the target shutdown cell, the shutdown network layer of the target shutdown cell, and the target serving cell that minimize the energy loss objective function are determined from each of the shutdown cells and the plurality of serving cells.
In the embodiment of the present invention, before step 150, a step of determining a networking architecture is further included. The existing networking architecture is divided into two networking architectures, namely, Non-standard Networking (NSA) and independent networking (SA). Because the 5G network should have a binding relationship with the FDD1800 under the NSA architecture, it is necessary to determine whether the 5G network needs to be turned on before turning off the network layer, and if the 5G network needs to be turned on, the anchor network, such as the FDD1800 network, cannot be turned off. That is, when it is determined that the networking architecture of each cell is the NSA architecture, it is determined whether 5G needs to be turned on, and if yes, the anchor point network of the NSA architecture cannot be determined as the turn-off network layer.
Step 160: and closing the shutdown network layer corresponding to the target shutdown cell.
After a target shutdown cell, a shutdown network layer of the target shutdown cell and a target serving cell are determined, the target serving cell is set as the serving cell in the preset time period, and the shutdown network layer of the target shutdown cell is closed, so that the energy consumption is minimized while the service quality is ensured, and the purpose of energy conservation is achieved.
In this embodiment of the present invention, after the network layer corresponding to the target shutdown cell is closed, the method further includes:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
By the method, the cell traffic can be monitored in real time, when the current traffic of the same coverage sector cluster is overlarge, the target turn-off cell is awakened, the serving cell and the turn-off cell are determined again according to the steps, and the target turn-off cell is dynamically adjusted, so that the purposes of balancing the traffic, the service quality and the energy consumption and dynamically saving energy in real time are achieved.
The method comprises the steps that a plurality of cells capable of being turned off are determined by obtaining service volume information of preset time periods of all the cells and user service quality of a same covered sector cluster; and traversing the multiple turn-off cells according to the energy loss target function, and determining the target turn-off cell and the turn-off network layer of the target turn-off cell when the energy loss target function is minimum, so that the beneficial effects of dynamically turning off the network layer and realizing real-time dynamic energy saving are achieved.
Fig. 2 is a schematic structural diagram of a multi-layer network shutdown energy saving device according to an embodiment of the present invention. As shown in fig. 2, the apparatus 200 includes: an obtaining module 210, a first determining module 220, a second determining module 230, a third determining module 240, a shutdown determining module 250, and a shutdown module 260.
An obtaining module 210, configured to obtain traffic information and location information of a preset time period in each cell;
a first determining module 220, configured to determine a same-coverage sector cluster of each cell according to the location information;
a second determining module 230, configured to determine user service quality of a same coverage sector cluster corresponding to each cell;
a third determining module 240, configured to determine multiple cells capable of being turned off and multiple serving cells according to the user quality of service and the traffic information in a preset time period;
a shutdown determining module 250, configured to traverse the multiple shutdown cells according to an energy loss objective function, and determine a target shutdown cell, a shutdown network layer of the target shutdown cell, and a target serving cell when the energy loss objective function is minimized; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
a shutdown module 260, configured to close a shutdown network layer corresponding to the target shutdown cell.
In an optional manner, the determining the cluster of sectors with the same coverage of each cell according to the location information further includes:
determining physical stations corresponding to the cells according to the position information;
and determining the same-coverage sector cluster of each cell through the iterative aggregation of the minimum included angle under the physical station.
In an optional manner, determining a cluster of sectors with the same coverage of each cell by minimum included angle iterative aggregation under the physical station includes:
sequencing all cells under the same physical station in sequence according to azimuth angles;
sequentially solving azimuth angle difference values among all cell azimuth angles;
combining the two cells with the minimum azimuth difference value into a sector;
and sequencing the sectors serving as new cells and the rest cells according to azimuth angles, and performing the step of calculating the azimuth angle difference value of each cell and combining the two cells with the minimum azimuth angle difference value into one sector until the azimuth angle difference value between the cells is greater than a first preset difference value, so as to obtain the same-coverage sector cluster of each cell.
In an optional manner, determining the user service quality of the same-coverage sector cluster corresponding to each cell includes:
calculating the receiving power of the first user for receiving the f-layer frequency band signals from each base station;
determining channel vectors of users in the same-coverage sector cluster according to the received power;
calculating a signal-to-noise ratio according to the channel vector, the precoding vector of the first user and noise;
and when the signal-to-noise ratio is greater than or equal to the signal-to-noise ratio threshold value, determining that the base station meets the service quality of the first user.
In an optional manner, after the network layer corresponding to the target shutdown cell is turned off for the preset time period, the method further includes:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
The specific working process of the multi-layer network shutdown energy-saving device in the embodiment of the present invention is the same as that in the above method embodiment, and details are not repeated here.
The method comprises the steps that a plurality of cells capable of being turned off are determined by obtaining service volume information of preset time periods of all the cells and user service quality of a same covered sector cluster; and traversing the multiple turn-off cells according to the energy loss target function, and determining the target turn-off cell and the turn-off network layer of the target turn-off cell when the energy loss target function is minimum, so that the beneficial effects of dynamically turning off the network layer and realizing real-time dynamic energy saving are achieved.
Fig. 3 is a schematic structural diagram of a multi-layer network turn-off energy saving device according to an embodiment of the present invention, and a specific embodiment of the present invention does not limit specific implementations of the multi-layer network turn-off energy saving device.
As shown in fig. 3, the multi-layer network shutdown power saving device may include: a processor (processor)302, a communication Interface 304, a memory 306, and a communication bus 308.
Wherein: the processor 302, communication interface 304, and memory 306 communicate with each other via a communication bus 308. A communication interface 304 for communicating with network elements of other devices, such as clients or other servers. The processor 302 is configured to execute the program 310, and may specifically execute the relevant steps in the embodiment of the multi-layer network shutdown energy saving method described above.
In particular, program 310 may include program code comprising computer-executable instructions.
The processor 302 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The multi-layer network shutdown energy-saving device comprises one or more processors, which can be processors of the same type, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 306 for storing a program 310. Memory 306 may comprise high-speed RAM memory, and may also include non-volatile memory, such as at least one disk memory.
Specifically, the program 310 may be invoked by the processor 302 to cause the multi-layer network shutdown energy-saving device to perform the following operations:
acquiring service volume information and position information of each cell in a preset time period;
determining the same-coverage sector cluster of each cell according to the position information;
determining the user service quality of the same coverage sector cluster corresponding to each cell;
determining a plurality of cells capable of being turned off and a plurality of service cells according to the user service quality and the service volume information in a preset time period;
traversing the multiple turn-off cells according to an energy loss objective function, and determining a target turn-off cell, a turn-off network layer of the target turn-off cell and a target service cell when the energy loss objective function is minimum; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
and closing the shutdown network layer corresponding to the target shutdown cell.
In an optional manner, before acquiring the traffic information and the location information of each cell in a preset time period, the method further includes:
acquiring the service volume of each cell from a network management platform in real time;
and determining the low-traffic cell according to the traffic and the traffic threshold.
In an optional manner, the determining the cluster of sectors with the same coverage of each cell according to the location information further includes:
determining physical stations corresponding to the cells according to the position information;
and determining the same-coverage sector cluster of each cell through the iterative aggregation of the minimum included angle under the physical station.
In an optional manner, determining a cluster of sectors with same coverage of each cell by iterative aggregation with a minimum included angle under the physical station includes:
sequencing all cells under the same physical station in sequence according to azimuth angles;
sequentially solving azimuth angle difference values among all cell azimuth angles;
combining the two cells with the minimum azimuth difference value into a sector;
and sequencing the sectors serving as new cells and the rest cells according to azimuth angles, and performing the step of calculating the azimuth angle difference value of each cell and combining the two cells with the minimum azimuth angle difference value into one sector until the azimuth angle difference value between the cells is greater than a first preset difference value, so as to obtain the same-coverage sector cluster of each cell.
In an optional manner, determining the user service quality of the same-coverage sector cluster corresponding to each cell includes:
calculating the receiving power of the first user for receiving the f-layer frequency band signals from each base station;
determining channel vectors of users in the same-coverage sector cluster according to the received power;
calculating a signal-to-noise ratio according to the channel vector, the precoding vector of the first user and noise;
and when the signal-to-noise ratio is greater than or equal to the signal-to-noise ratio threshold value, determining that the base station meets the service quality of the first user.
In an optional manner, after the network layer corresponding to the target shutdown cell is turned off for the preset time period, the method further includes:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
The specific working process of the multi-layer network shutdown energy-saving device in the embodiment of the present invention is the same as that in the above-mentioned method embodiment, and is not described here any more.
The method comprises the steps that a plurality of cells capable of being turned off are determined by obtaining service volume information of preset time periods of all the cells and user service quality of a same covered sector cluster; and traversing the multiple turn-off cells according to the energy loss target function, and determining the target turn-off cell and the turn-off network layer of the target turn-off cell when the energy loss target function is minimum, so that the beneficial effects of dynamically turning off the network layer and realizing real-time dynamic energy saving are achieved.
An embodiment of the present invention provides a computer-readable storage medium, where the storage medium stores at least one executable instruction, and when the executable instruction runs on a multi-layer network turn-off energy saving device, the multi-layer network turn-off energy saving device is enabled to execute a multi-layer network turn-off energy saving method in any method embodiment described above.
The executable instructions may be specifically configured to cause the multi-layer network shutdown energy-saving device to perform the following operations:
acquiring service volume information and position information of each cell in a preset time period;
determining the same-coverage sector cluster of each cell according to the position information;
determining the user service quality of the same coverage sector cluster corresponding to each cell;
determining a plurality of turn-off cells and a plurality of service cells according to the user service quality and the service volume information in a preset time period;
traversing the multiple turn-off cells according to an energy loss objective function, and determining a target turn-off cell, a turn-off network layer of the target turn-off cell and a target service cell when the energy loss objective function is minimum; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
and closing the shutdown network layer corresponding to the target shutdown cell.
In an optional manner, before obtaining the traffic information and the location information of each cell in a preset time period, the method further includes:
acquiring the service volume of each cell from a network management platform in real time;
and determining the low-traffic cell according to the traffic and the traffic threshold.
In an optional manner, the determining the cluster of sectors with the same coverage of each cell according to the location information further includes:
determining physical stations corresponding to the cells according to the position information;
and determining the same-coverage sector cluster of each cell through the iterative aggregation of the minimum included angle under the physical station.
In an optional manner, determining a cluster of sectors with same coverage of each cell by iterative aggregation with a minimum included angle under the physical station includes:
sequencing all cells under the same physical station in sequence according to azimuth angles;
sequentially solving azimuth angle difference values among all cell azimuth angles;
combining the two cells with the minimum azimuth difference value into a sector;
and sequencing the sectors serving as new cells and the rest cells according to azimuth angles, and performing the step of calculating the azimuth angle difference value of each cell and combining the two cells with the minimum azimuth angle difference value into one sector until the azimuth angle difference value between the cells is greater than a first preset difference value, so as to obtain the same-coverage sector cluster of each cell.
In an optional manner, determining the user service quality of the same-coverage sector cluster corresponding to each cell includes:
calculating the receiving power of the first user for receiving the f-layer frequency band signals from each base station;
determining channel vectors of users in the same-coverage sector cluster according to the received power;
calculating a signal-to-noise ratio according to the channel vector, the precoding vector of the first user and noise;
and when the signal-to-noise ratio is greater than or equal to the signal-to-noise ratio threshold value, determining that the base station meets the service quality of the first user.
In an optional manner, after the network layer corresponding to the target shutdown cell is turned off for the preset time period, the method further includes:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
The method comprises the steps that a plurality of cells capable of being turned off are determined by obtaining service volume information of preset time periods of all the cells and user service quality of a same covered sector cluster; and traversing the multiple turn-off cells according to the energy loss target function, and determining the target turn-off cell and the turn-off network layer of the target turn-off cell when the energy loss target function is minimum, so that the beneficial effects of dynamically turning off the network layer and realizing real-time dynamic energy saving are achieved.
The embodiment of the invention provides a multilayer network shutdown energy-saving device, which is used for executing the multilayer network shutdown energy-saving method.
Embodiments of the present invention provide a computer program, which can be called by a processor to enable a multi-layer network shutdown energy saving device to execute a multi-layer network shutdown energy saving method in any of the above method embodiments.
Embodiments of the present invention provide a computer program product, which includes a computer program stored on a computer-readable storage medium, where the computer program includes program instructions, and when the program instructions are run on a computer, the computer is caused to execute the multi-layer network shutdown energy saving method in any of the above method embodiments.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.

Claims (10)

1. A multi-tier network shutdown power-saving method, the method comprising:
acquiring service volume information and position information of each cell in a preset time period;
determining the same-coverage sector cluster of each cell according to the position information;
determining the user service quality of the same coverage sector cluster corresponding to each cell;
determining a plurality of turn-off cells and a plurality of service cells according to the user service quality and the service volume information in a preset time period;
traversing the multiple turn-off cells according to an energy loss objective function, and determining a target turn-off cell, a turn-off network layer of the target turn-off cell and a target service cell when the energy loss objective function is minimum; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
and closing the shutdown network layer corresponding to the target shutdown cell.
2. The method of claim 1, wherein before obtaining the traffic information and the location information of each cell in a preset time period, the method further comprises:
acquiring the service volume of each cell from a network management platform in real time;
and determining the low-traffic cell according to the traffic and the traffic threshold.
3. The method of claim 1, wherein the determining the cluster of sectors with same coverage of each cell according to the location information further comprises:
determining physical stations corresponding to the cells according to the position information;
and determining the same-coverage sector cluster of each cell through the iterative aggregation of the minimum included angle under the physical station.
4. The method of claim 3, wherein determining the cluster of sectors with same coverage for each cell by iterative aggregation with minimum included angle under the physical station comprises:
sequencing all cells under the same physical station in sequence according to azimuth angles;
sequentially solving azimuth angle difference values among all cell azimuth angles;
combining the two cells with the minimum azimuth difference value into a sector;
and sequencing the sectors serving as new cells and the rest cells according to azimuth angles, and performing azimuth angle difference calculation of each cell and merging two cells with the minimum azimuth angle difference into one sector until the azimuth angle difference between the cells is greater than a first preset difference value to obtain the same-coverage sector cluster of each cell.
5. The method of claim 1, wherein determining the user service quality of the same-coverage sector cluster corresponding to each cell comprises:
calculating the receiving power of the first user for receiving the f-layer frequency band signals from each base station;
determining channel vectors of users in the same-coverage sector cluster according to the received power;
calculating a signal-to-noise ratio according to the channel vector, the precoding vector of the first user and noise;
and when the signal-to-noise ratio is greater than or equal to the signal-to-noise ratio threshold value, determining that the base station meets the service quality of the first user.
6. The method according to claim 1, further comprising, after the shutdown network layer corresponding to the target shutdown cell is shutdown for the preset time period, the method further comprising:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
7. A multi-tier network shutdown power saving apparatus, the apparatus comprising:
the acquisition module is used for acquiring the traffic information and the position information of each cell in a preset time period;
a first determining module, configured to determine a same-coverage sector cluster of each cell according to the location information;
a second determining module, configured to determine user service quality of a same coverage sector cluster corresponding to each cell;
a third determining module, configured to determine multiple turn-off cells and multiple serving cells according to the user service quality and the traffic information in a preset time period;
a shutdown determination module, configured to traverse the multiple shutable cells according to an energy loss objective function, and determine a target shutdown cell, a shutdown network layer of the target shutdown cell, and a target serving cell that minimize the energy loss objective function; wherein the energy loss objective function represents a relationship between the energy loss and the turn-off or turn-on of each cell;
and the shutdown module is used for shutting down the shutdown network layer corresponding to the target shutdown cell.
8. The apparatus of claim 7, further comprising, after the shutdown network layer corresponding to the target shutdown cell is turned off for the preset time period:
acquiring the current traffic of the same-coverage sector cluster corresponding to the target turn-off cell;
and when the current traffic of the same-coverage sector cluster is larger than a first threshold value, awakening the target shutdown cell.
9. A multi-layer network shutdown energy-saving device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation of the multilayer network shutdown energy-saving method according to any one of claims 1 to 6.
10. A computer-readable storage medium having stored therein at least one executable instruction that, when run on a multi-layer network turn-off power saving device, causes the multi-layer network turn-off power saving device to perform the operations of the multi-layer network turn-off power saving method of any one of claims 1-6.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015081533A1 (en) * 2013-12-05 2015-06-11 华为技术有限公司 Energy saving method and device for heterogeneous network
CN105531963A (en) * 2013-07-17 2016-04-27 华为技术有限公司 System and methods for multi-objective cell switch-off in wireless networks
CN106332203A (en) * 2016-10-10 2017-01-11 北京邮电大学 Green energy-saving algorithm for use in LTE (long-term evolution) hierarchical cell architecture
CN106961716A (en) * 2017-03-16 2017-07-18 华北电力大学(保定) A kind of preferential energy cost minimization base station dormancy method of energy consumption
CN108235415A (en) * 2018-02-07 2018-06-29 武汉大学 A kind of base station energy-saving method for considering user experience
CN111010725A (en) * 2019-12-12 2020-04-14 中国移动通信集团内蒙古有限公司 Energy-saving control method, device, equipment and medium for cell

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105531963A (en) * 2013-07-17 2016-04-27 华为技术有限公司 System and methods for multi-objective cell switch-off in wireless networks
WO2015081533A1 (en) * 2013-12-05 2015-06-11 华为技术有限公司 Energy saving method and device for heterogeneous network
CN106332203A (en) * 2016-10-10 2017-01-11 北京邮电大学 Green energy-saving algorithm for use in LTE (long-term evolution) hierarchical cell architecture
CN106961716A (en) * 2017-03-16 2017-07-18 华北电力大学(保定) A kind of preferential energy cost minimization base station dormancy method of energy consumption
CN108235415A (en) * 2018-02-07 2018-06-29 武汉大学 A kind of base station energy-saving method for considering user experience
CN111010725A (en) * 2019-12-12 2020-04-14 中国移动通信集团内蒙古有限公司 Energy-saving control method, device, equipment and medium for cell

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
NOKIA, ALCATEL-LUCENT SHANGHAI BELL, AT AMP;AMP;T, SAMSUNG, LG ELECTRONICS INC., QUALCOMM INCORPORATED: "R3-163085 \"Target cell selection for low complexity UEs and UEs in enhanced coverage\"", 3GPP TSG_RAN\\WG3_IU, no. 3 *
朱禹涛;张天魁;曾志民;: "基于基站休眠的蜂窝网络节能技术研究", 电信网技术, no. 10 *
郝敏;张治中;席兵;: "5G网络中基于距离感知的动态基站关闭算法", 电视技术, no. 01 *

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