CN106162671A - A kind of base station deployment location determining method and device - Google Patents

A kind of base station deployment location determining method and device Download PDF

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Publication number
CN106162671A
CN106162671A CN201510208598.8A CN201510208598A CN106162671A CN 106162671 A CN106162671 A CN 106162671A CN 201510208598 A CN201510208598 A CN 201510208598A CN 106162671 A CN106162671 A CN 106162671A
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base station
macro
micro base
service
power consumption
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CN106162671B (en
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何金薇
徐志昆
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China Mobile Communications Group Co Ltd
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China Mobile Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H04W16/26—Cell enhancers or enhancement, e.g. for tunnels, building shadow
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • 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
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a kind of base station deployment location determining method and device, in order to improve the reasonability of base station deployment scheme.Base station deployment location determining method, including: according to default network paramter models, determine all grand/micro-base station deployment position groupings meeting given peak rate in specifying region；And determine grand with each/micro-base station deployment position grouping of the first power consumption number each second power consumption number that in each business low-load period of appearance, behind the micro-base station of cutoff, difference is the most corresponding in specifying duration that each grand/micro-base station deployment position grouping is corresponding under peak rate respectively；According to the first default power consumption number and each self-corresponding weight coefficient of each second power consumption number, determine each grand/micro-base station deployment position grouping weighting power consumption number in described appointment duration；Determining real base station deployed position according to grand/micro-base station deployment position grouping that weighting power consumption number is minimum, wherein, described weight coefficient is to determine according to each business hours section duration.

Description

Base station deployment position determining method and device
Technical Field
The invention relates to the technical field of wireless communication, in particular to a method and a device for determining a deployment position of a base station.
Background
With the rapid development of mobile communication technology, the demand of wireless data service and multimedia service is growing explosively, and the demand of high traffic will inevitably bring about huge energy consumption in the future. The heterogeneous cellular network can meet the requirement of a user on high service rate by deploying the low-power base station from the aspect of network deployment, and meanwhile, the energy expenditure of the system can be effectively reduced, and the energy efficiency of the system is improved.
Based on this, the following small base station deployment position determining methods are proposed in the prior art: the method comprises the steps of gridding a service distribution map, attributing the services of grids to corresponding pixel points, taking the pixel points, namely grid line intersection points, as candidate base station sites, determining the accuracy degree of the final site by the density degree of the grids, taking given network element model parameters as input, providing a base station position arrangement scheme which comprehensively considers the service volume and channel quality condition parameters of the networks and equivalently obtains the optimal network energy efficiency by searching the position point with the maximum value of the parameters.
In the above scheme, the position of the small cell is determined by taking the peak rate of a certain mesh point at all time points as a single consideration. In practical applications, however, during low load periods, the small base station will be switched off in order to save energy. In consideration of the situation that the small base station is turned off, the base station deployment scheme is enabled to have the highest network energy efficiency when the peak rate is the highest, but the small base station is turned off when the traffic is in a low load, so that the network energy efficiency of the deployment scheme is low when the load is low, and therefore the peak rate is only considered, and the rationality of the existing base station deployment scheme is reduced.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a base station deployment position, which are used for improving the rationality of a base station deployment scheme.
The embodiment of the invention provides a method for determining a deployment position of a base station, which comprises the following steps:
determining all macro/micro base station deployment position combinations meeting a given peak rate in a specified area according to a preset network parameter model; and
respectively determining a first power consumption value corresponding to each macro/micro base station deployment position combination under a peak rate and each second power consumption value corresponding to each macro/micro base station deployment position combination after a part of micro base stations are turned off in each service low-load period appearing in a specified time length;
determining a weighted power consumption value of each macro/micro base station deployment position combination in the specified time length according to a preset weighting coefficient corresponding to each first power consumption value and each second power consumption value, wherein the weighting coefficient is determined according to the duration of each service time period;
and determining the actual base station deployment position according to the macro/micro base station deployment position combination with the lowest weighted power consumption value.
The network parameter model comprises a macro/micro base station power model, a macro/micro base station coverage area and a service model.
Determining all macro/micro base station deployment position combinations meeting a given peak rate in a specified area according to a preset network parameter model, specifically comprising:
according to a preset business model, carrying out meshing processing on the business distribution map of the designated area to obtain a plurality of business grids;
uniformly deploying macro base stations covering the designated area in the designated area according to the coverage range of the preset macro base stations;
aiming at each deployed macro base station, searching a first macro base station which cannot bear the traffic in the coverage area of the macro base station according to a preset service model and a power model of the macro base station;
and sequentially selecting one service grid to deploy the micro base stations according to the sequence of the service volume from high to low aiming at all the service grids covered by all the searched first macro base stations until the macro/micro base station combination deployed in the coverage range of each searched macro base station can bear the service volume in the coverage range of the first macro base station.
The method for determining the position of the base station provided by the embodiment of the invention further comprises the following steps:
aiming at least one service grid which is not covered by the micro base station, deploying a micro base station cluster to replace a second macro base station covering the at least one service grid;
judging whether a third power consumption value corresponding to the micro base station cluster covering the at least one service grid is smaller than a fourth power consumption value corresponding to the second macro base station cluster covering the at least one service grid;
and if so, replacing a second macro base station covering the at least one service grid by the micro base station cluster.
Aiming at each macro/micro base station deployment position combination, determining a power consumption value corresponding to a part of micro base stations switched off in a service low-load period according to the following method:wherein:
m and N are respectively the number of macro base stations and the number of small base stations in the macro/micro base station deployment position combination;
sMand smRespectively corresponding switch state values of the macro base station and the micro base station;
PMand PmRespectively corresponding power consumption values of the macro base station and the micro base station.
An embodiment of the present invention provides a base station deployment position determining apparatus, including:
the first determining unit is used for determining all macro/micro base station deployment position combinations meeting a given peak rate in a specified area according to a preset network parameter model;
the second determining unit is used for respectively determining a first power consumption value corresponding to each macro/micro base station deployment position combination under the peak rate and each second power consumption value corresponding to each macro/micro base station deployment position combination after a part of micro base stations are turned off in each service low-load period appearing in the specified time length;
a third determining unit, configured to determine, according to a preset weighting coefficient corresponding to each of the first power consumption value and each of the second power consumption values, a weighted power consumption value of each macro/micro base station deployment location combination within the specified time duration, where the weighting coefficient is determined according to a duration of each service time period;
and the fourth determining unit is used for determining the actual base station deployment position according to the macro/micro base station deployment position combination with the lowest weighted power consumption value.
The network parameter model comprises a macro/micro base station power model, a macro/micro base station coverage area and a service model.
The first determination unit includes:
the processing subunit is used for carrying out gridding processing on the service distribution map of the specified area according to a preset service model to obtain a plurality of service grids;
the macro base station deployment subunit is used for uniformly deploying the macro base station covering the designated area in the designated area according to the preset coverage range of the macro base station;
the searching subunit is used for searching a first macro base station which cannot bear the traffic within the coverage range of the first macro base station according to a preset service model and a power model of the macro base station aiming at each deployed macro base station;
and the micro base station deployment subunit is used for sequentially selecting one service grid to deploy the micro base stations according to the sequence of the service volumes from high to low aiming at all the service grids covered by all the searched first macro base stations until the macro/micro base station combination deployed in the coverage range of each searched macro base station can bear the service volume in the coverage range of the first macro base station.
The base station deployment position determining apparatus provided in the embodiment of the present invention further includes:
a replacing unit, configured to deploy, for at least one service grid not covered by the micro base station, a micro base station cluster to replace a second macro base station covering the at least one service grid; and when the judgment result of the judging unit is yes, replacing a second macro base station covering the at least one service grid by using the micro base station cluster;
and the judging unit is used for judging whether the third power consumption value corresponding to the situation that the micro base station cluster covers the at least one service grid is smaller than the fourth power consumption value corresponding to the situation that the second macro base station covers the at least one service grid.
The third determining unit is specifically configured to determine, for each macro/micro base station deployment location combination, a power consumption value corresponding to a power consumption value after turning off a part of micro base stations in a service low-load period according to the following method:wherein: m and N are respectively the number of macro base stations and the number of small base stations in the macro/micro base station deployment position combination; sMAnd smRespectively corresponding switch state values of the macro base station and the micro base station; pMAnd PmRespectively corresponding power consumption values of the macro base station and the micro base station.
In the method and the device for determining the deployment position of the base station provided by the embodiment of the invention, in the process of determining the deployment position of the base station, not only the power consumption value of each combination of the deployment positions of the base station at the peak rate is considered, but also the power consumption value corresponding to each combination of the deployment positions of the base station in each low-load service time period is considered, the combination of the deployment position of the base station with the lowest weighted power consumption value is selected as the actual deployment position of the base station by combining the preset weighting coefficient, and the power consumption in space and time is considered in the selection of the deployment position of the base station, so that the rationality of the deployment scheme of the base station is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart illustrating an implementation of a method for determining a deployment location of a base station according to an embodiment of the present invention;
fig. 2 a-2 c are schematic diagrams of space-time non-uniform service models in the embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating an implementation of determining all macro/micro base station deployment location combinations that satisfy a given peak rate according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a change in area power consumption value according to an area traffic change in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a base station deployment position determining apparatus in an embodiment of the present invention.
Detailed Description
Aiming at the problem that the existing base station deployment strategy is unreasonable due to the fact that the micro base station is not turned off in the existing base station deployment strategy, the embodiment of the invention provides a method and a device for determining the deployment position of a base station, so that the energy efficiency of the base station deployed in all time dimensions is optimal.
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings of the specification, it being understood that the preferred embodiments described herein are merely for illustrating and explaining the present invention, and are not intended to limit the present invention, and that the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
Aiming at the problems of the existing base station deployment strategy, the macro/micro base station deployment position combination which achieves the optimal energy efficiency on the time average can be determined in the embodiment of the invention, and can be described by adopting the following formula:
min ∫ Ψ ∫ T P ( t ) dt = Σ i = 1 s s i Σ k P k * t k = Σ i = 1 s s i ( P 0 * t 0 + Σ k ≠ 0 P k * t k ) , wherein, Σ i = 1 s s i = 1 .
in the above formula, Ψ is a set of macro/micro base station deployment location combinations that can satisfy a given peak rate, that is, different macro/micro base station deployment schemes, and the deployment locations of the macro base station and the micro base station in each deployment scheme are not completely the same; t is a time set of duration of each service guy under different service loads; s is the number of macro/micro base station deployment position combinations contained in Ψ; siAn indication of validity of the deployment location combination for the ith macro/micro base station; p0Combining power consumption values at peak rate for macro/micro base station deployment locations; t is t0Duration of peak rate duration; k is the number of low load time periods; pkCombining power consumption values over a low load time period k for macro/micro base station deployment locations; t is tkIs the duration of the low load period k. The low-load service time period may be determined according to a preset service load threshold, and the time period in which the service load is lower than the service load threshold is referred to as a low-load service time period.
Based on this, an embodiment of the present invention provides a method for determining a deployment location of a base station, as shown in fig. 1, which may include the following steps:
and S11, determining all macro/micro base station deployment position combinations meeting the given peak rate in the designated area according to the preset network parameter model.
S12, respectively determining a first power consumption value corresponding to each macro/micro base station deployment position combination under the peak rate and each second power consumption value corresponding to each macro/micro base station deployment position combination after a part of micro base stations are turned off in each service low-load period appearing in the specified time length.
In specific implementation, the specified time period may be set according to actual needs, for example, it may be set to 24 hours. That is, for the traffic distribution situation in the designated area within 24 hours, the designated area is divided into a plurality of traffic time periods, wherein the peak rate corresponds to the time period with the highest traffic, that is, the traffic load high time period, and then other time periods are determined according to the traffic duration, assuming that 1 traffic load high time period and 4 traffic load low time periods are included within 24 hours. In each low-load time period, the micro-stations are switched off differently according to different traffic distribution areas. In this way, the power consumption values in each service time period are different, and the power consumption values corresponding to the macro/micro base station combinations that are turned on in each service time period are respectively counted, in this example, 5 power consumption values can be obtained, including 1 first power consumption value and 4 second power consumption values.
S13, determining the corresponding weighted power consumption value of each macro/micro base station deployment position combination in the appointed time length according to the preset first power consumption value and the corresponding weighted coefficient of each second power consumption value.
Preferably, the weighting coefficients corresponding to the first power consumption value and each of the second power consumption values may be determined according to the duration of each of the service time periods. Continuing the above example, the weighting coefficient of the power consumption value corresponding to each time period is determined according to the duration of each service time period, and then the weighted average of the obtained 5 power consumption values is determined as the weighted power consumption value within 24 hours.
In specific implementation, the weighting coefficient may be set according to actual needs, for example, the weighting coefficients corresponding to the first power consumption value and the second power consumption value may be set to be 0.5, that is, the determined weighted power consumption value is an average of the power consumption values at the peak rate and at the low load.
And S14, determining the actual base station deployment position according to the macro/micro base station deployment position combination with the lowest weighted power consumption value.
In specific implementation, the preset network parameter model includes a coverage area of the macro/micro base station, a power model and a service model of the macro/micro base station, and the like, and preferably, the preset service model is a service model with space-time non-uniformity. Fig. 2 a-2 c are schematic diagrams of spatio-temporal non-uniformity traffic models, wherein fig. 2a is a schematic diagram of a traffic model at 10 am, fig. 2b is a schematic diagram of a traffic model at 8 pm, and fig. 2c is a schematic diagram of a traffic model at peak rate. Fig. 2 a-2 c show a region consisting of 10 × 10 service grids, each corresponding to a demand rate, which varies with time, and for convenience of description, the embodiments of the present invention are divided into a peak rate and a low load rate in time. The business model is also not uniform in spatial distribution, viewed over the whole area, which spatially follows a log-normal distribution. Wherein, in fig. 2 a-2 c, darker colors indicate greater traffic.
Based on the traffic models shown in fig. 2 a-2 c, in step S11, all macro/micro base station deployment location combinations that satisfy a given peak rate can be determined according to the flow shown in fig. 3. It should be noted that the optimal deployment strategy at peak rate is to minimize the power consumed by the system on the premise of ensuring the frequency efficiency of each user and the capacity of the base station, as shown in fig. 3, the optimal deployment strategy may include the following steps:
and S31, according to the preset business model, carrying out gridding processing on the business distribution map of the designated area to obtain a plurality of business grids.
And S32, uniformly deploying the macro base station covering the designated area in the designated area according to the preset coverage range of the macro base station.
In step S32, macro base stations may be deployed uniformly in the designated area according to actual conditions to ensure basic wireless signal coverage of the designated area, and in specific implementation, it is only necessary to ensure that the coverage areas of the macro base stations do not overlap with each other, and the coverage area of each macro base station may include multiple service grids.
And S33, judging whether each macro base station can bear the traffic in the coverage area of the macro base station according to a preset service model and a power model of the macro base station aiming at each deployed macro base station, if so, ending the process, and if not, executing the step S34.
In step S33, a macro base station that cannot load the service requirement of the hot spot area is searched for a hot spot area with overloaded traffic.
S34, sequentially selecting one service grid to deploy the micro base stations according to the sequence of the service volume from high to low aiming at all the service grids covered by all the searched first macro base stations until the macro/micro base station combination deployed in the coverage range of each searched macro base station can bear the service volume in the coverage range of the first macro base station.
In step S33, a macro base station that cannot meet the service requirement of the hot spot area is searched for a hot spot area with overloaded traffic. For the macro base stations found in step S33 and unable to meet the service requirements of some hot spot areas within their coverage area, assume that after step S32 is implemented, 10 macro base stations (M1, M2, … … M10) are deployed in the designated area, and respectively determine whether each macro base station can load the traffic of all the service grids included in its coverage area, taking as an example that M2, M4, M5, and M9 cannot load the traffic of all the service grids included in its coverage area, in step S34, all the service grids included in the coverage areas of macro base stations M2, M4, M5, and M9 are sorted according to the traffic from large to small, and a micro base station is deployed in the service grid with the largest traffic, specifically when a micro base station is deployed, the macro base station may be deployed at the intersection of the service grid and the neighboring service grid, or may be deployed in the center of the service grid, or may be deployed according to actual needs, which is not limited in the embodiments of the present invention. Assuming that a micro base station is deployed in a service grid within the coverage of M2, after a micro base station is deployed in the coverage of M2, there are two cases: one case is that after a micro base station is deployed in the coverage area of M2, the macro base station that can already carry the traffic in the coverage area of the micro base station still cannot be carried, and another case is that the traffic in the coverage area of the micro base station still cannot be carried, at this time, the macro base stations that cannot meet the traffic in the coverage area of M1-M10 need to be searched again, assuming that the traffic still remains M2, M4, M5 and M9, all the traffic grids included in the coverage areas of the macro base stations M2, M4, M5 and M9 are sorted from large to small in traffic, and a micro base station is deployed in the traffic grid with the second largest traffic, and so on until the combination of the macro and micro base stations that are deployed in the coverage area of the macro base station that cannot carry the traffic in the coverage area of the macro base station can carry all the traffic in the coverage area of the macro base station.
For each deployed macro base station, whether a micro base station needs to be deployed in the coverage area of the macro base station or not and the position of the deployed micro base station when the micro base station needs to be deployed can be determined according to the process, so that the position combination of the deployed macro base station and the deployed micro base station in the specified area can be determined. For different macro base station deployment locations, multiple macro/micro base station location combinations may be determined.
Preferably, for further improving energy efficiency, for each determined macro/micro base station combination, the micro base station cluster may be tried to replace the macro base station to cover at least one service grid which is not covered by the micro base station according to a preset service model, a preset coverage area of the micro base station and a preset power model, a third power consumption value corresponding to the case that the micro base station cluster covers the at least one service grid and a fourth power consumption value corresponding to the case that the macro base station covers the at least one service grid are calculated respectively, and if the third power consumption value is smaller than the fourth power consumption value, the micro base station cluster may be selected to replace the macro base station in the macro/micro base station combination.
As shown in fig. 4, which is a schematic diagram illustrating a change in area power consumption value according to an area traffic, in fig. 4, an abscissa indicates the number of RBs occupied by a specific area, and an ordinate indicates a power consumption value of the specific area. As can be seen from fig. 4, there are many intersections between one macro base station and N (N is a natural number equal to or greater than 1) micro base stations on the power model, and therefore, in the actual process of deploying the base stations, the power of deploying one macro base station is sometimes low, and the power of deploying N micro base stations is sometimes low. For example, if 5 micro base stations are deployed to meet the service requirements of a service area (which may include at least one service mesh) and to save more energy (lower power consumption) than using a macro base station to deploy the service area, the 5 micro base stations may be deployed instead of the macro base station.
In specific implementation, in order to save energy, when the load is low, for all macro/micro base station deployment location combinations satisfying a given peak rate, some small base stations need to be turned off according to actual service conditions. The switching-off scheme of the micro base station comprises a centralized scheme and a distributed scheme. A common scheme for turning off a micro base station in a distributed manner is that when the micro base station monitors that its own service load is lower than a preset turn-off threshold, the micro base station reports to the macro base station to request to turn off, and the micro base station turns off under the instruction of the macro base station.
For each macro/micro base station deployment position combination meeting a given peak rate, in a low-load time period, after part of micro base stations are turned off according to the turn-off scheme, a power consumption value corresponding to the macro/micro base station deployment position combination can be determined according to the following formula:wherein: m and N are respectively the number of macro base stations and the number of small base stations in the macro/micro base station deployment position combination; sMAnd smThe switch state values respectively corresponding to the macro base station and the micro base station, preferably, the switch state value may be set to 1 in the on state, and may be set to 0 in the off state; pMAnd PmRespectively corresponding power consumption values of the macro base station and the micro base station.
In the embodiment of the invention, the base station deployment method with optimal energy efficiency in all time dimensions is provided, not only the network energy efficiency in peak rate is considered, but also the network energy efficiency after part of micro base stations are switched off in a low-load service time period is considered, so that the base station deployment scheme is more reasonable.
Based on the same inventive concept, the embodiment of the present invention further provides a base station deployment position determining apparatus, and because the principle of the apparatus for solving the problem is similar to the base station deployment position determining method, the implementation of the apparatus may refer to the implementation of the method, and repeated details are omitted.
As shown in fig. 5, a schematic structural diagram of a base station deployment location determining apparatus provided in an embodiment of the present invention includes:
the first determining unit 51 is configured to determine, according to a preset network parameter model, all macro/micro base station deployment location combinations that satisfy a given peak rate in a specified area.
The network parameter model comprises a macro/micro base station power model, a macro/micro base station coverage area and a service model.
A second determining unit 52, configured to determine a first power consumption value corresponding to each macro/micro base station deployment location combination at the peak rate and each second power consumption value corresponding to each macro/micro base station deployment location combination after turning off a part of micro base stations in each service low-load period occurring within a specified time duration.
And a third determining unit 53, configured to determine, according to a weighting coefficient corresponding to each of the preset first power consumption value and each of the second power consumption values, a weighted power consumption value of each macro/micro base station deployment location combination in the specified time duration, where the weighting coefficient is determined according to the duration of each service time period.
And a fourth determining unit 54, configured to determine an actual base station deployment location according to the macro/micro base station deployment location combination with the lowest weighted power consumption value.
The first determining unit 51 may include:
the processing subunit is used for carrying out gridding processing on the service distribution map of the specified area according to a preset service model to obtain a plurality of service grids;
the macro base station deployment subunit is used for uniformly deploying the macro base station covering the designated area in the designated area according to the preset coverage range of the macro base station;
the searching subunit is used for searching a first macro base station which cannot bear the traffic within the coverage range of the first macro base station according to a preset service model and a power model of the macro base station aiming at each deployed macro base station;
and the micro base station deployment subunit is used for sequentially selecting one service grid to deploy the micro base stations according to the sequence of the service volumes from high to low aiming at all the service grids covered by all the searched first macro base stations until the macro/micro base station combination deployed in the coverage range of each searched macro base station can bear the service volume in the coverage range of the first macro base station.
Preferably, the base station deployment position determining apparatus provided in the embodiment of the present invention may further include:
a replacing unit, configured to deploy, for at least one service grid not covered by the micro base station, a micro base station cluster to replace a second macro base station covering the at least one service grid; and when the judgment result of the judging unit is yes, replacing a second macro base station covering the at least one service grid by using the micro base station cluster;
and the judging unit is used for judging whether the third power consumption value corresponding to the situation that the micro base station cluster covers the at least one service grid is smaller than the fourth power consumption value corresponding to the situation that the second macro base station covers the at least one service grid.
Preferably, the third determining unit 53 is configured to determine, for each macro/micro base station deployment location combination, a second power consumption value corresponding to a part of micro base stations turned off in a low-load service period according to the following method:wherein: m and N are respectively the number of macro base stations and the number of small base stations in the macro/micro base station deployment position combination; sMAnd smRespectively corresponding switch state values of the macro base station and the micro base station; pMAnd PmRespectively corresponding power consumption values of the macro base station and the micro base station.
For convenience of description, the above parts are separately described as modules (or units) according to functional division. Of course, the functionality of the various modules (or units) may be implemented in the same or in multiple pieces of software or hardware in practicing the invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A method for determining a deployment location of a base station, comprising:
determining all macro/micro base station deployment position combinations meeting a given peak rate in a specified area according to a preset network parameter model; and
respectively determining a first power consumption value corresponding to each macro/micro base station deployment position combination under a peak rate and each second power consumption value corresponding to each macro/micro base station deployment position combination after a part of micro base stations are turned off in each service low-load period appearing in a specified time length;
determining a weighted power consumption value of each macro/micro base station deployment position combination in the specified time length according to a preset weighting coefficient corresponding to each first power consumption value and each second power consumption value, wherein the weighting coefficient is determined according to the duration of each service time period;
and determining the actual base station deployment position according to the macro/micro base station deployment position combination with the lowest weighted power consumption value.
2. The method of claim 1, wherein the network parameter models comprise macro/micro base station power models, macro/micro base station coverage and traffic models.
3. The method of claim 2, wherein determining all macro/micro base station deployment location combinations satisfying a given peak rate in a specified area according to a preset network parameter model comprises:
according to a preset business model, carrying out meshing processing on the business distribution map of the designated area to obtain a plurality of business grids;
uniformly deploying macro base stations covering the designated area in the designated area according to the coverage range of the preset macro base stations;
aiming at each deployed macro base station, searching a first macro base station which cannot bear the traffic in the coverage area of the macro base station according to a preset service model and a power model of the macro base station;
and sequentially selecting one service grid to deploy the micro base stations according to the sequence of the service volume from high to low aiming at all the service grids covered by all the searched first macro base stations until the macro/micro base station combination deployed in the coverage range of each searched macro base station can bear the service volume in the coverage range of the first macro base station.
4. The method of claim 3, further comprising:
aiming at least one service grid which is not covered by the micro base station, deploying a micro base station cluster to replace a second macro base station covering the at least one service grid;
judging whether a third power consumption value corresponding to the micro base station cluster covering the at least one service grid is smaller than a fourth power consumption value corresponding to the second macro base station cluster covering the at least one service grid;
and if so, replacing a second macro base station covering the at least one service grid by the micro base station cluster.
5. The method according to any of claims 1 to 4, wherein for each macro/micro base station deployment location combination, the corresponding second power consumption value after turning off part of micro base stations in a service low load period is determined according to the following method: Σ M s M * P M + Σ m N s m * P m , wherein:
m and N are respectively the number of macro base stations and the number of small base stations in the macro/micro base station deployment position combination;
sMand smRespectively corresponding switch state values of the macro base station and the micro base station;
PMand PmRespectively corresponding power consumption values of the macro base station and the micro base station.
6. A base station deployment location determining apparatus, comprising:
the first determining unit is used for determining all macro/micro base station deployment position combinations meeting a given peak rate in a specified area according to a preset network parameter model;
the second determining unit is used for respectively determining a first power consumption value corresponding to each macro/micro base station deployment position combination under the peak rate and each second power consumption value corresponding to each macro/micro base station deployment position combination after a part of micro base stations are turned off in each service low-load period appearing in the specified time length;
the third determining unit is used for determining the weighted power consumption value of each macro/micro base station deployment position combination in the specified time length according to the preset weighting coefficient corresponding to the first power consumption value and each second power consumption value;
and the fourth determining unit is used for determining the actual base station deployment position according to the macro/micro base station deployment position combination with the lowest weighted power consumption value, wherein the weighting coefficient is determined according to the duration of each service time period.
7. The apparatus of claim 6, wherein the network parameter models comprise macro/micro base station power models, macro/micro base station coverage and traffic models.
8. The apparatus of claim 7, wherein the first determining unit comprises:
the processing subunit is used for carrying out gridding processing on the service distribution map of the specified area according to a preset service model to obtain a plurality of service grids;
the macro base station deployment subunit is used for uniformly deploying the macro base station covering the designated area in the designated area according to the preset coverage range of the macro base station;
the searching subunit is used for searching a first macro base station which cannot bear the traffic within the coverage range of the first macro base station according to a preset service model and a power model of the macro base station aiming at each deployed macro base station;
and the micro base station deployment subunit is used for sequentially selecting one service grid to deploy the micro base stations according to the sequence of the service volumes from high to low aiming at all the service grids covered by all the searched first macro base stations until the macro/micro base station combination deployed in the coverage range of each searched macro base station can bear the service volume in the coverage range of the first macro base station.
9. The apparatus of claim 8, further comprising:
a replacing unit, configured to deploy, for at least one service grid not covered by the micro base station, a micro base station cluster to replace a second macro base station covering the at least one service grid; and when the judgment result of the judging unit is yes, replacing a second macro base station covering the at least one service grid by using the micro base station cluster;
and the judging unit is used for judging whether the third power consumption value corresponding to the situation that the micro base station cluster covers the at least one service grid is smaller than the fourth power consumption value corresponding to the situation that the second macro base station covers the at least one service grid.
10. The apparatus according to any one of claims 6 to 9,
the third determining unit is specifically configured to determine, for each macro/micro base station deployment location combination, a second power consumption value corresponding to a part of micro base stations turned off in a low-load service period according to the following method:wherein: m and N are respectively the number of macro base stations and the number of small base stations in the macro/micro base station deployment position combination; sMAnd smRespectively corresponding switch state values of the macro base station and the micro base station; pMAnd PmRespectively corresponding power consumption values of the macro base station and the micro base station.
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