CN111050387A - Base station dormancy method and device based on energy efficiency estimation, electronic equipment and medium - Google Patents
Base station dormancy method and device based on energy efficiency estimation, electronic equipment and medium Download PDFInfo
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- CN111050387A CN111050387A CN201911148179.4A CN201911148179A CN111050387A CN 111050387 A CN111050387 A CN 111050387A CN 201911148179 A CN201911148179 A CN 201911148179A CN 111050387 A CN111050387 A CN 111050387A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention provides a base station dormancy method and device based on energy efficiency estimation, electronic equipment and a medium. The method comprises the following steps: dividing a plurality of base stations into a plurality of clusters; determining the density of base stations and the density of users in a target cluster; according to the base station density and the user density, maximizing an energy efficiency estimation function to obtain a sleep parameter of the target cluster; and performing sleep adjustment on the base station in the target cluster according to the sleep parameters. The embodiment of the invention can improve the energy efficiency on the premise of not influencing the network performance.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a base station dormancy method, apparatus, device, and medium based on energy efficiency estimation.
Background
With the development of wireless communication technology, a fifth generation mobile communication system (5G) has entered into a commercial stage, and ultra-large scale devices, ultra-high speed and ultra-low time delay have put higher requirements for 5G network deployment. In order to meet these requirements, large-scale Small Base Station (SBS) dense deployment with low transmission power constitutes an Ultra-dense network (UDN), which is considered as a main technical means for implementing 5G network deployment.
The significant increase in base station density in 5G networks raises energy consumption issues, and large-scale deployment of small base stations makes the total energy consumption huge, although small base stations have the advantages of low power consumption and low cost. In order to save energy, some small base stations with lower utilization rate need to enter a sleep mode with lower energy consumption. Therefore, establishing a sleep mechanism, improving Energy Efficiency (EE) through sleep mode has become one of the focuses of network interest in the future.
In the prior art research, some dormancy mechanisms have been proposed. For example, a random dormancy mechanism randomly selects an existing base station according to a certain proportion and enters a dormancy mode, which can reduce energy consumption, but always causes some base stations with high data throughput to be selected for dormancy, so that network performance of a large number of users around the base stations cannot be guaranteed.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method, an apparatus, a device and a medium for base station dormancy based on energy efficiency estimation, so as to solve the problem that network performance is affected due to base station dormancy.
Based on the above purpose, the present invention provides a base station dormancy method based on energy efficiency estimation, which includes:
dividing a plurality of base stations into a plurality of clusters;
determining the density of base stations and the density of users in a target cluster;
according to the base station density and the user density, maximizing an energy efficiency estimation function to obtain a sleep parameter of the target cluster;
and performing sleep adjustment on the base station in the target cluster according to the sleep parameters.
In some embodiments of the invention, the sleep parameter comprises an estimate of a coverage radius of the base station;
the adjusting the dormancy of the base station in the target cluster according to the dormancy parameter specifically includes:
determining the estimated coverage range of each base station in the target cluster according to the estimated coverage radius value;
and adjusting the base station with no user in the estimated coverage area into the sleep mode.
In some embodiments of the present invention, the adjusting the base station that estimates that there is no user in the coverage area to the sleep mode specifically includes:
sending the user position to each base station in the target cluster, and enabling each base station to detect whether a user exists in the estimated coverage range according to the user position;
and acquiring the detection result of each base station, and adjusting the base station with the detection result that no user exists in the estimated coverage range into a sleep mode.
In some embodiments of the present invention, the dormancy parameter further includes a threshold number of multi-coverage users;
the adjusting the dormancy of the base station in the target cluster according to the dormancy parameter further comprises:
detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station;
and adjusting the base station with the number of the multiple coverage users reaching the threshold value of the number of the multiple coverage users into a sleep mode.
In some embodiments of the present invention, the detecting multiple coverage users simultaneously covered by other base stations in the users covered by each base station, and counting the number of the multiple coverage users of each base station specifically includes:
sharing the user information of each base station in the estimated coverage range of the base station to other base stations, enabling each base station to compare the user information in the estimated coverage range with the user information shared by other base stations, and determining the user corresponding to the user information with the same comparison result as a multi-coverage user;
and counting the number of the multiple coverage users of each base station.
In some embodiments of the present invention, the energy efficiency estimation function is:
wherein, ηeeFor energy efficiency, PcIs the average coverage, P, of the base stationsleepIs sleep probability of the base station (β P)t+P0) For power consumption of the base station in active mode, P0For static power consumption, β PtFor transmission power consumption, PtFor radio frequency output power, PslT is the threshold value of SINR for power consumption of the base station in sleep mode, R is the radius of the target cluster,
is the number of base stations in the target cluster, | | z | | is the distance from the user to the serving base station, λpIs the density of the cluster, t is a random variable, α is a channel attenuation parameter, λuIs the user density, λ, within the target clusterBIs the density of base stations in the target cluster, RcK is a threshold of the number of multiple covered users, and M is a fixed value.
The invention also provides a base station dormancy device based on energy efficiency estimation, which comprises the following steps:
a dividing module, configured to divide a plurality of base stations into a plurality of clusters;
the determining module is used for determining the density of base stations and the density of users in the target cluster;
the acquisition module is used for maximizing an energy efficiency estimation function according to the base station density and the user density to obtain a dormancy parameter of the target cluster; and the number of the first and second groups,
and the dormancy module is used for carrying out dormancy adjustment on the base station in the target cluster according to the dormancy parameter.
In some embodiments of the present invention, the sleep parameters include an estimated coverage radius of the base station and a threshold of the number of multiple covered users;
the sleep module is specifically configured to:
determining the estimated coverage range of each base station in the target cluster according to the estimated coverage radius value;
detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station;
and adjusting the base station with no user in the estimated coverage range into a sleep mode, and adjusting the base station with the number of the multiple coverage users reaching the threshold value of the number of the multiple coverage users into the sleep mode.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the base station sleep method based on the energy efficiency estimation.
The present invention also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the above-described energy efficiency estimation-based base station sleep method.
As can be seen from the foregoing, the energy efficiency estimation-based base station dormancy method, apparatus, device, and medium provided by the present invention can divide a plurality of base stations into a plurality of clusters, determine the base station density and the user density in a target cluster, so as to maximize an energy efficiency estimation function according to the base station density and the user density, obtain the dormancy parameter of the target cluster, and further perform dormancy adjustment on the base stations in the target cluster according to the dormancy parameter, so as to improve energy efficiency without affecting network performance.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a base station sleep method based on energy efficiency estimation according to an embodiment of the present invention;
fig. 2 is a schematic distribution diagram of MCP-based base stations and users according to an embodiment of the present invention;
fig. 3 is a graph of energy efficiency and a threshold of the number of multiple covered users at different base station densities in the embodiment of the present invention;
FIG. 4 is a graph illustrating energy efficiency and estimated coverage radius for different base station densities according to an embodiment of the present invention;
FIG. 5 is a graph illustrating energy efficiency and a threshold of a number of multiple coverage users for different user densities according to an embodiment of the present invention;
FIG. 6 is a graph illustrating energy efficiency and estimated coverage radius for different user densities according to an embodiment of the present invention;
FIG. 7 is a schematic diagram illustrating mode adjustment when a base station meets a sleep condition according to an embodiment of the present invention;
FIG. 8 is a diagram illustrating mode adjustment when a base station meets a sleep condition in an embodiment of the present invention;
FIG. 9 is a schematic diagram illustrating mode adjustment when the BS meets the second dormancy condition according to an embodiment of the invention;
fig. 10 is a schematic structural diagram of a base station sleep apparatus based on energy efficiency estimation according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It is to be noted that technical terms or scientific terms used in the embodiments of the present invention should have the ordinary meanings as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in this disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
Referring to fig. 1, a flowchart of a base station dormancy method based on energy efficiency estimation according to an embodiment of the present invention is shown.
As shown in fig. 1, the base station sleep method based on energy efficiency estimation includes:
101. the plurality of base stations are divided into a plurality of clusters.
The base station in the embodiment of the invention refers to a small base station SBS with low transmitting power. In the UDN, base stations are densely distributed in a hot spot area, and in order to satisfy this characteristic, a base station distribution model based on MCP (matrix Cluster Process) is established. As shown in fig. 2, in a two-dimensional plane area, a plurality of base stations 1 are divided into a plurality of clusters 2, the range of each cluster 2 is regarded as a circle with a radius R, the center O of each cluster 2 follows poisson distribution, and the set of the positions of the center O of each cluster 2 can be represented as Φp。
102. The base station density and the user density within the target cluster are determined.
In the embodiment of the invention, the base stations are uniformly distributed in each cluster, and the average value of the number of the base stations in the cluster is
Average density of base stations per cluster to
The overall distribution of base stations represents a set of phi. Respectively taking each of the plurality of clusters as a target cluster, as shown in FIG. 2As shown, the number of base stations 1 in the target cluster 2 is
Density of base station is lambdaBWith N in target cluster 2uA set of users 3, represented as Φ, subject to a Poisson distributionuThe density of users in the target cluster is
103. And according to the base station density and the user density, maximizing an energy efficiency estimation function to obtain the dormancy parameters of the target cluster.
In the embodiment of the invention, the base station has two states of a sleep mode and an active mode, and the sleep probability of the base station is assumed to be PsleepThen the active probability of the base station is 1-Psleep. According to the definition of energy efficiency, the energy efficiency estimation function is:
wherein, ηeeFor energy efficiency, PcIs the average coverage of the base station (β P)t+P0) For power consumption of the base station in active mode, P0For static power consumption, β PtFor transmission power consumption, PtFor radio frequency output power, PslIs the power consumption of the base station in sleep mode.
In order to obtain the energy efficiency estimation function, the average coverage rate and the dormancy probability need to be respectively obtained.
(1) Average coverage rate
Wherein, T is threshold value of SINR, | | z | | | is distance from user to service base station, fD(| z |) is a probability density function with respect to | | z |. By simplification, the final average coverage function is:
wherein α is the channel attenuation parameter, λpIs the density of the clusters and t is a random variable.
(2) Probability of dormancy
The probability that a user is simultaneously within the estimated coverage of two or more base stations is:
wherein R iscM is a fixed value for the estimated coverage radius of the base station, and M is 5 in this embodiment.
The embodiment of the invention presets two dormancy conditions, wherein the dormancy condition I is that the number of the multiple coverage users of the base station is more than or equal to the number k of the multiple coverage users, and the dormancy probability of the base station meeting the dormancy condition I is
The estimated coverage range of the two-dimensional base station under the dormancy condition is free of users, and the dormancy probability of the base station meeting the dormancy condition II is Psleep2＝exp(-λuπRc2)。
Since the sleep condition one and the sleep condition two are independent, the total sleep probability of the base station is
And substituting the average coverage rate and the dormancy probability into an energy efficiency estimation function so as to estimate the energy efficiency under different environmental conditions by using the energy efficiency estimation function.
Sleep parametersIncluding an estimate of the coverage radius R of the base stationcAnd a multiple coverage user number threshold k. The sleep parameters can be dynamically adjusted according to changes in environmental conditions to maximize energy efficiency. Therefore, before performing sleep adjustment on the base stations in different clusters, the density λ of the base stations in different clusters needs to be determinedBAnd a user density lambdauSleep parameter of time, i.e. estimated value R of radius of coverage of base stationcAnd a multiple coverage user number threshold k.
(1) Base station density λBDetermination of sleep parameters when changed
Density of base stations in target cluster λBIs determined by the number of base stations in the target cluster
Is determined, i.e.
Setting a variation period of a base station to TSBS(generally, the number and location of the base stations are set with a long variation period, and the period may be one month, half year, or one year depending on the actual situation). Each change in base station density results in a change in energy efficiency, so to maintain energy efficiency, the value of the sleep parameter needs to be reset after each change in base station density.
A. Determination of multiple coverage user number threshold k
After the density of the base station is determined, the energy efficiency corresponding to k at different values can be calculated according to the energy efficiency estimation function, and the k value corresponding to the maximum energy efficiency is obtained by comparing the energy efficiency. And when the density of the base station is changed, recalculating the energy efficiency to obtain a k value corresponding to the maximum energy efficiency, and performing periodic cycle. As shown in fig. 3, k is an integer from 1 to 10, energy efficiency tends to increase first and then to be gentle as k increases, energy efficiency difference in gentle stages is small, and this stage can be considered as the maximum value, so that the minimum k value corresponding to the gentle stage is taken as the k value corresponding to the maximum energy efficiency. When the density of base stations is lambdaB＝1×10-3/m2Then, by calculation, the maximum value can be obtained when k is 5, and in this case, the value of the parameter k is 5. When the density of the base station becomesλB＝2×10-3/m2When the value of the parameter k is 7. When the base station density becomes lambdaB＝3×10-3/m2When the value of the parameter k is 8. The corresponding parameter values can be obtained under different environmental conditions.
B. Coverage radius estimate RcIs determined
After the density of the base station is determined, R is calculated according to an energy efficiency estimation functionCThe energy efficiency corresponding to different values is obtained by comparing the energy efficiency to obtain the R corresponding to the maximum energy efficiencyCThe value is obtained. When the density of the base station is changed, the energy efficiency is recalculated to obtain the R corresponding to the maximum energy efficiencyCAnd the value is calculated, and the periodic cycle is carried out according to the value. As shown in FIG. 4, RCRespectively taking an integer of 5 to 25 when the density of the base station is lambdaB＝1×10-3/m2By calculation, RcThe maximum value is obtained at 11m, in which case the parameter RCThe value is 11. When the base station density becomes lambdaB＝2×10-3/m2When the parameter R isCThe value is 10. When the base station density becomes lambdaB＝3×10-3/m2When the parameter R isCThe value is 10.
(2) User density lambdauDetermination of sleep parameters when changed
Target intra-cluster user density λuIs determined by the number N of users in the target clusteruIs determined, i.e.
Setting the variation period of the user density as Tu(generally, the period of variation of the user density is short, and the period may be half an hour or an hour according to actual conditions), each time the user density is changed, the energy efficiency is changed, so that in order to maintain high energy efficiency, the value of the sleep parameter needs to be reset after each user density change, similarly to the base station density change process.
A. Determination of multiple coverage user number threshold k
After the user density is determined, according to an energy efficiency estimation function, the energy efficiency corresponding to k when different values are taken is calculated, and the energy efficiency is comparedThe k value corresponding to the maximum energy efficiency is obtained. And when the user density is changed, recalculating the energy efficiency to obtain a k value corresponding to the maximum energy efficiency, and performing periodic cycle. For example, as shown in FIG. 5, k is an integer from 1 to 10 when the user density λu＝4×10-3/m2Then, by calculation, the maximum value can be obtained when k is 5, and in this case, the value of the parameter k is 5. When the user density becomes lambdau＝6×10-3/m2When the value of the parameter k is 6. When the user density becomes lambdau＝8×10-3/m2When the value of the parameter k is 8. The corresponding parameter values can be obtained under different environmental conditions.
B. Coverage radius estimate RcIs determined
After determining the user density, calculating R according to an energy efficiency estimation functionCThe energy efficiency corresponding to different values is obtained by comparing the energy efficiency to obtain the R corresponding to the maximum energy efficiencyCThe value is obtained. When the user density changes, the energy efficiency is recalculated to obtain the R corresponding to the maximum energy efficiencyCAnd the value is calculated, and the periodic cycle is carried out according to the value. For example, as shown in FIG. 6, RCTaking an integer value from 5 to 25 as the user density lambdau＝4×10-3/m2By calculation, RcThe maximum value is obtained at 13m, in which case the parameter RCThe value is 13. When the user density becomes lambdau＝6×10-3/m2When the parameter R isCThe value is 11. When the user density becomes lambdau＝8×10-3/m2When the parameter R isCThe value is 10.
104. And performing sleep adjustment on the base station in the target cluster according to the sleep parameters.
The embodiment of the invention presets the dormancy condition and sleeps the base stations meeting the dormancy condition in the target cluster. The sleep condition is associated with a sleep parameter, and adjusting the sleep parameter adjusts the criteria of the sleep condition, thereby adjusting the base station that needs to sleep. As shown in fig. 7, the target cluster 2 has a plurality of base stations 1 therein, each base station 1 has a plurality of users 3 within an estimated coverage area (a small circle area in the figure), and the base stations 1 satisfying the sleep condition (base stations within a dotted line area in the figure) are adjusted to the sleep mode.
The sleep conditions are set to be two, and the base station meeting any one sleep condition can be adjusted to be in a sleep mode. The first sleep condition is that the number of the multiple covered users of the base station is greater than or equal to the threshold value of the number of the multiple covered users. Specifically, the performing sleep adjustment on the base station in the target cluster according to the sleep parameter in step 104 includes:
detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station;
and adjusting the base station with the number of the multiple coverage users reaching the threshold value of the number of the multiple coverage users into a sleep mode.
As shown in fig. 8, a target cluster 2 has a plurality of base stations 1, each base station 1 has some users 3 (there may also be no users in the estimated coverage of a small number of base stations) in the estimated coverage (the small circle area in the figure), and these users 3 may be in the coverage of only one base station 1, or may be in the coverage of two or even more than two base stations 1. If a plurality of users 3 exist in the estimated coverage area of other base stations 1 among the users 3 in the estimated coverage area of one base station 1, the plurality of users 3 are regarded as multiple coverage users, and if the number of the plurality of users 3 is greater than or equal to the threshold k of the number of multiple coverage users, the base station 1 (the base station in the dashed line area in the figure) can enter the sleep mode.
Specifically, the detecting multiple coverage users covered by other base stations simultaneously among the users covered by each base station, and counting the number of the multiple coverage users of each base station includes:
sharing the user information of each base station in the estimated coverage range of the base station to other base stations, enabling each base station to compare the user information in the estimated coverage range with the user information shared by other base stations, and determining the user corresponding to the user information with the same comparison result as a multi-coverage user;
and counting the number of the multiple coverage users of each base station.
It should be noted that, to detect whether each base station satisfies the first dormancy condition, it is required to know whether the user covered by each base station is covered by other base stations, and this information may be obtained through communication between the user and the base station and between the base stations.
And the base station calculates whether the user is in the coverage range of the user according to the received position information. The base station transmits the user ID in the coverage area of the base station to other base stations, and simultaneously receives the user ID from other base stations. And the base station compares the user ID in the coverage range with the received user ID, and if the user IDs are the same, the base station indicates that the user corresponding to the user ID is simultaneously positioned in the coverage ranges of other base stations, and the user is the multi-coverage user. And determining the number of the multiple coverage users of each base station, and if the number of the multiple coverage users of one base station is greater than or equal to a threshold k of the number of the multiple coverage users, enabling the base station to enter a sleep mode.
The second sleep condition is that there is no user in the base station. Specifically, the performing sleep adjustment on the base station in the target cluster according to the sleep parameter in step 104 further includes:
determining the estimated coverage range of each base station in the target cluster according to the estimated coverage radius value;
and adjusting the base station with no user in the estimated coverage area into the sleep mode.
As shown in fig. 9, the target cluster 2 has a plurality of base stations 1, and each base station 1 may or may not have a user 3 in the estimated coverage (the small circle area in the figure). If there is no user 3 in the base station 1, the base station 1 (the base station in the dashed line area in the figure) enters the sleep mode.
Specifically, the adjusting the base station that does not have the user in the estimated coverage area to the sleep mode specifically includes:
sending the user position to each base station in the target cluster, and enabling each base station to detect whether a user exists in the estimated coverage range according to the user position;
and acquiring the detection result of each base station, and adjusting the base station with the detection result that no user exists in the estimated coverage range into a sleep mode.
It should be noted that, to detect whether each base station satisfies the second dormancy condition, it is required to know whether there is a user in the coverage area of each base station, and this information may be obtained through communication between the user and the base station.
And the base station calculates whether the user is in the coverage range of the user according to the received position information. If no user exists in the coverage area of the base station, the base station enters a sleep mode. And if the base station does not meet the first dormancy condition or the second dormancy condition, the base station keeps the active mode.
The base station dormancy method based on energy efficiency estimation provided by the invention can divide a plurality of base stations into a plurality of clusters, determine the base station density and the user density in the target cluster, so as to maximize an energy efficiency estimation function according to the base station density and the user density to obtain the dormancy parameter of the target cluster, and further perform dormancy adjustment on the base stations in the target cluster according to the dormancy parameter, thereby adjusting the base stations with lower utilization rate and replaceable base stations into a dormancy mode to improve the energy efficiency on the premise of not influencing the network performance.
It should be noted that the method of the embodiment of the present invention may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In the case of such a distributed scenario, one of the multiple devices may only perform one or more steps of the method according to the embodiment of the present invention, and the multiple devices interact with each other to complete the method.
Referring to fig. 10, a base station sleep apparatus based on energy efficiency estimation according to an embodiment of the present invention includes:
a dividing module 10, configured to divide a plurality of base stations into a plurality of clusters;
a determining module 20, configured to determine a base station density and a user density in a target cluster;
an obtaining module 30, configured to maximize an energy efficiency estimation function according to the base station density and the user density to obtain a dormancy parameter of the target cluster; and the number of the first and second groups,
and a dormancy module 40, configured to perform dormancy adjustment on the base station in the target cluster according to the dormancy parameter.
Further, the dormancy parameter includes a coverage radius estimation value of the base station and a threshold value of the number of multiple coverage users;
the sleep module is specifically configured to:
determining the estimated coverage range of each base station in the target cluster according to the estimated coverage radius value;
detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station;
and adjusting the base station with no user in the estimated coverage range into a sleep mode, and adjusting the base station with the number of the multiple coverage users reaching the threshold value of the number of the multiple coverage users into the sleep mode.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Fig. 11 shows a hardware structure diagram of a specific electronic device provided in this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Embodiments of the present invention provide a non-transitory computer readable storage medium, having stored therein a plurality of instructions, which can be loaded by a processor to perform any of the steps of any of the methods for energy efficiency estimation based base station dormancy provided by embodiments of the present invention.
Non-transitory computer readable storage media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A base station dormancy method based on energy efficiency estimation is characterized by comprising the following steps:
dividing a plurality of base stations into a plurality of clusters;
determining the density of base stations and the density of users in a target cluster;
according to the base station density and the user density, maximizing an energy efficiency estimation function to obtain a sleep parameter of the target cluster;
and performing sleep adjustment on the base station in the target cluster according to the sleep parameters.
2. The energy efficiency estimation-based base station dormancy method according to claim 1, wherein the dormancy parameter comprises a coverage radius estimation value of the base station;
the adjusting the dormancy of the base station in the target cluster according to the dormancy parameter specifically includes:
determining the estimated coverage range of each base station in the target cluster according to the estimated coverage radius value;
and adjusting the base station with no user in the estimated coverage area into the sleep mode.
3. The method for sleeping in a base station based on energy efficiency estimation according to claim 1, wherein the adjusting the base station without the user in the estimated coverage area to the sleep mode specifically comprises:
sending the user position to each base station in the target cluster, and enabling each base station to detect whether a user exists in the estimated coverage range according to the user position;
and acquiring the detection result of each base station, and adjusting the base station with the detection result that no user exists in the estimated coverage range into a sleep mode.
4. The energy efficiency estimation-based base station dormancy method according to claim 2, wherein the dormancy parameter further comprises a multi-coverage user number threshold;
the adjusting the dormancy of the base station in the target cluster according to the dormancy parameter further comprises:
detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station;
and adjusting the base station with the number of the multiple coverage users reaching the threshold value of the number of the multiple coverage users into a sleep mode.
5. The energy efficiency estimation-based base station dormancy method according to claim 4, wherein the detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station specifically comprises:
sharing the user information of each base station in the estimated coverage range of the base station to other base stations, enabling each base station to compare the user information in the estimated coverage range with the user information shared by other base stations, and determining the user corresponding to the user information with the same comparison result as a multi-coverage user;
and counting the number of the multiple coverage users of each base station.
6. The energy efficiency estimation-based base station sleeping method according to claim 4, wherein the energy efficiency estimation function is:
wherein, ηeeFor energy efficiency, PcIs the average coverage, P, of the base stationsleepIs sleep probability of the base station (β P)t+P0) For power consumption of the base station in active mode, P0For static power consumption, β PtFor transmission power consumption, PtFor radio frequency output power, PslT is the threshold value of SINR for power consumption of the base station in sleep mode, R is the radius of the target cluster,
is the number of base stations in the target cluster, | | z | | is the distance from the user to the serving base station, λpIs the density of the cluster, t is a random variable, α is a channel attenuation parameter, λuIs the user density, λ, within the target clusterBIs the density of base stations in the target cluster, RcK is a threshold of the number of multiple covered users, and M is a fixed value.
7. A base station sleep apparatus based on energy efficiency estimation, comprising:
a dividing module, configured to divide a plurality of base stations into a plurality of clusters;
the determining module is used for determining the density of base stations and the density of users in the target cluster;
the acquisition module is used for maximizing an energy efficiency estimation function according to the base station density and the user density to obtain a dormancy parameter of the target cluster; and the number of the first and second groups,
and the dormancy module is used for carrying out dormancy adjustment on the base station in the target cluster according to the dormancy parameter.
8. The base station sleep device based on energy efficiency estimation according to claim 7, wherein the sleep parameters include a coverage radius estimation value of the base station and a multi-coverage user number threshold;
the sleep module is specifically configured to:
determining the estimated coverage range of each base station in the target cluster according to the estimated coverage radius value;
detecting multiple coverage users covered by other base stations simultaneously in the users covered by each base station, and counting the number of the multiple coverage users of each base station;
and adjusting the base station with no user in the estimated coverage range into a sleep mode, and adjusting the base station with the number of the multiple coverage users reaching the threshold value of the number of the multiple coverage users into the sleep mode.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the energy efficiency estimation-based base station sleep method according to any one of claims 1 to 6 when executing the program.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method for energy efficiency estimation based base station dormancy according to any one of claims 1 through 6.
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