CN106162671B - 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
CN106162671B
CN106162671B CN201510208598.8A CN201510208598A CN106162671B CN 106162671 B CN106162671 B CN 106162671B CN 201510208598 A CN201510208598 A CN 201510208598A CN 106162671 B CN106162671 B CN 106162671B
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base station
micro
macro base
macro
power consumption
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CN106162671A (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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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24Cell structures
    • H04W16/26Cell enhancers or enhancement, e.g. for tunnels, building shadow
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0203Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • 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 devices, to improve the reasonability of base station deployment scheme.Base station deployment location determining method, comprising: according to preset network paramter models, determine all macro/micro-base station deployed position combinations for meeting given peak rate in specified region;And corresponding each second power consumption number after cutoff micro-base station is determined in each macro/micro-base station deployed position combination each business low-load period that corresponding first power consumption number and each macro/micro-base station deployed position combination occur in specified duration under peak rate respectively;According to preset first power consumption number and each corresponding weighting coefficient of second power consumption number, determine that each macro/micro-base station deployed position combines the weighting power consumption number in the specified duration;It is combined according to the minimum macro/micro-base station deployed position of weighting power consumption number and determines real base station deployed position, wherein the weighting coefficient is determined according to each business hours section duration.

Description

A kind of base station deployment location determining method and device
Technical field
The present invention relates to wireless communication technology field more particularly to a kind of base station deployment location determining method and devices.
Background technique
With the high speed development of mobile communication technology, the demand of wireless data service and operation service in multimedia is just presenting quick-fried Hairdo increases, and the demand of the following heavy traffic will necessarily bring huge energy consumption.Isomery cellular network is disposed from network Level can satisfy the demand of the high service rate of user, not only by disposing low power base station at the same time it can also effectively subtract Few system capacity expense, improves the energy efficiency of system.
Based on this, following small base station deployment location determining method is proposed in the prior art: service distribution map is carried out The business of grid is summed up in the point that corresponding pixel by gridding, and pixel, that is, grid lines intersection point is as candidate base station site, net The density degree of lattice determines the levels of precision of last site, then using given network element model parameter as input, proposes One portfolio for having comprehensively considered network and channel quality status parameter are come by searching for the location point of the parameter maximum value Equivalence obtains the optimal base station location arrangement of network energy efficiency.
In above scheme, the peak rate with some mesh point at all moment is single Consideration to determine small base The position stood.But in practical applications, in the low-load period, in order to save efficiency, small base station be will be off.In view of small Base station turn off the case where, although so that above-mentioned base station deployment scheme peak rate be network energy efficiency be it is highest, due to Small base station is had turned off when low-load portfolio, so that deployment scheme network energy efficiency in low-load is lower, therefore, is only considered This factor of peak rate reduces the reasonability of existing base station deployment scheme.
Summary of the invention
The embodiment of the present invention provides a kind of base station deployment location determining method and device, to improve base station deployment scheme Reasonability.
The embodiment of the present invention provides a kind of base station deployment location determining method, comprising:
According to preset network paramter models, all macro/micro-base stations for meeting given peak rate in specified region are determined Deployed position combination;And
Each macro/micro-base station deployed position combination corresponding first power consumption number and each under peak rate is determined respectively In each business low-load period that macro/micro-base station deployed position combination occurs in specified duration after cutoff micro-base station respectively Corresponding each second power consumption number;
According to preset first power consumption number and each corresponding weighting coefficient of second power consumption number, determine each macro/micro- Weighting power consumption number of the base station deployment position grouping in the specified duration, wherein the weighting coefficient is according to each business Period duration is determined;
It is combined according to the minimum macro/micro-base station deployed position of weighting power consumption number and determines real base station deployed position.
The network paramter models include macro/micro-base station power module, macro/micro-base station coverage area and business model.
All macro/micro-base station portions for meeting given peak rate in specified region are determined according to preset network paramter models Position grouping is affixed one's name to, is specifically included:
According to preset business model, gridding is carried out to the service distribution map in the specified region and handles to obtain multiple industry Business grid;
According to the coverage area of preset macro base station, uniformly deployment covers the macro base in the specified region in specified region It stands;
For each macro base station of deployment, according to preset business model and macro base station power module, lookup can not be carried First macro base station of portfolio in its coverage area;
For whole services grids that all first macro base stations of lookup are covered, according to portfolio from high to low suitable Sequence successively selects a services grid deployment micro-base station, until being disposed in each macro base station coverage area searched macro/micro- Base station combination can carry the portfolio in the first macro base station coverage area.
Base station location provided in an embodiment of the present invention determines method, further includes:
For at least one services grid not covered by micro-base station, deployment micro-base station cluster substitution covers at least one industry Second macro base station of business grid;
Judge whether corresponding third power consumption number is less than use when covering at least one services grid using micro-base station cluster Second macro base station covers corresponding 4th power consumption number when at least one services grid;
When the judgment result is yes, the second macro base station for covering at least one services grid is substituted using micro-base station cluster.
For each macro/micro-base station deployed position combination, shutdown portion in the business low-load period is determined in accordance with the following methods Corresponding power consumption number after point micro-base station:Wherein:
M and N is respectively macro/combination of micro-base station deployed position in the quantity of macro base station and the quantity of small base station;
sMAnd smThe respectively corresponding switch state value of macro base station and micro-base station;
PMAnd PmThe respectively corresponding power consumption number of macro base station and micro-base station.
The embodiment of the present invention provides a kind of base station deployment position determining means, comprising:
First determination unit, for according to preset network paramter models, determining all given peaks of satisfaction in specified region It is worth macro/micro-base station deployed position combination of rate;
Second determination unit, for determining that each macro/micro-base station deployed position combination is corresponding under peak rate respectively It is turned off in each business low-load period that first power consumption number and each macro/micro-base station deployed position combination occur in specified duration Corresponding each second power consumption number after the micro-base station of part;
Third determination unit, according to preset first power consumption number and each corresponding weighting coefficient of second power consumption number, Determine that each macro/micro-base station deployed position combines weighting power consumption number in the specified duration, wherein the weighting coefficient is It is determined according to each business hours section duration;
4th determination unit, for determining practical base according to the minimum macro/micro-base station deployed position combination of weighting power consumption number It stands deployed position.
The network paramter models include macro/micro-base station power module, macro/micro-base station coverage area and business model.
First determination unit, comprising:
Subelement is handled, for carrying out net to the service distribution map in the specified region according to preset business model Processing of formatting obtains multiple services grids;
Macro base station disposes subelement, for the coverage area according to preset macro base station, uniformly disposes in specified region Cover the macro base station in the specified region;
Subelement is searched, for each macro base station for deployment, according to preset business model and macro base station power mould Type searches the first macro base station that can not carry portfolio in its coverage area;
Micro-base station disposes subelement, whole services grids for being covered for all first macro base stations found, A services grid deployment micro-base station is successively selected according to the sequence of portfolio from high to low, until each macro base searched Macro/micro-base station the combination disposed in coverage area of standing can carry the portfolio in the first macro base station coverage area.
Base station deployment position determining means provided in an embodiment of the present invention, further includes:
Substituting unit, for at least one services grid not covered by micro-base station, deployment micro-base station cluster substitution to be covered Cover the second macro base station of at least one services grid;And when the judging result of judging unit is to be, use micro-base station cluster Substitution covers the second macro base station of at least one services grid;
Judging unit, corresponding third power consumption number when for judging to cover at least one services grid using micro-base station cluster Whether it is less than and covers corresponding 4th power consumption number when at least one services grid using the second macro base station.
The third determination unit is specifically used for for each macro/micro-base station deployed position combination, in accordance with the following methods really Determine in the business low-load period corresponding power consumption number after cutoff micro-base station:Wherein: M and N The quantity of macro base station and the quantity of small base station in respectively macro/micro-base station deployed position combination;sMAnd smRespectively macro base station and micro- The corresponding switch state value in base station;PMAnd PmThe respectively corresponding power consumption number of macro base station and micro-base station.
In base station deployment location determining method provided in an embodiment of the present invention and base station deployment position determining means, due to During determining base station deployment position, the power consumption number of each base station deployment position grouping under peak rate is not only allowed for, simultaneously The corresponding power consumption number of each base station deployment position grouping in each low-load business hours section is considered, in conjunction with preset weighting system The base station deployment position grouping that number selects weighting power consumption number minimum is as real base station deployed position, due in base station deployment position The power consumption on room and time is taken into account in selection, to improve the reasonability of base station deployment scheme.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes a part of the invention, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the implementation process diagram of base station deployment location determining method in the embodiment of the present invention;
Fig. 2 a- Fig. 2 c is non-uniform business model schematic diagram when empty in the embodiment of the present invention;
Fig. 3 is to determine all macro/micro-base station deployed position combinations for meeting given peak rate in the embodiment of the present invention Implementation process diagram;
Fig. 4 is that the area consumption value in the embodiment of the present invention, with the variation of area business amount changes schematic diagram;
In Fig. 5 embodiment of the present invention, the structural schematic diagram of base station deployment position determining means.
Specific embodiment
For in existing base station deployment strategy, due to the case where not considering micro-base station shutdown, lead to existing base station portion The unreasonable problem of administration's strategy, the embodiment of the present invention provides a kind of base station deployment location determining method and device, so that in institute The efficiency for the base station disposed in having time dimension is optimal.
Below in conjunction with Figure of description, preferred embodiment of the present invention will be described, it should be understood that described herein Preferred embodiment only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention, and in the absence of conflict, this hair The feature in embodiment and embodiment in bright can be combined with each other.
Existing base station deployment strategy there are aiming at the problem that, be capable of determining that the time averagely in the embodiment of the present invention on reach Macro/micro-base station deployed position the combination optimal to efficiency, can be described using following formula:
Wherein,
In above-mentioned formula, Ψ is the set that can satisfy macro/micro-base station deployed position combination of given peak rate, i.e., not With macro/micro-base station deployment scheme, the deployed position of macro base station and micro-base station is not exactly the same in each deployment scheme;T be Under different business load, the ancient young duration set of each business;S is the macro/micro-base station deployed position combination for including in Ψ Number;siFor the validity indication of i-th of macro/micro-base station deployed position combination;P0Exist for macro/micro-base station deployed position combination Power consumption number under peak rate;t0For the lasting duration of peak rate;K is the quantity of low-load period;PkFor macro/micro-base station Deployed position combines the power consumption number in low-load period k;tkFor the duration lasting in low-load period k.Wherein, low negative Carrying business hours section can determine according to preset business load threshold value, and business load is lower than to the time of the business load threshold value Section is known as low-load business hours section.
Based on this, the embodiment of the invention provides a kind of base station deployment location determining methods, as shown in Figure 1, may include Following steps:
S11, according to preset network paramter models, determine and all in specified region meet the macro/micro- of given peak rates Base station deployment position grouping.
S12, each macro/micro-base station deployed position combination corresponding first power consumption number and every under peak rate is determined respectively Divide after cutoff micro-base station in each business low-load period that one macro/micro-base station deployed position combination occurs in specified duration Not corresponding each second power consumption number.
When it is implemented, can be set according to actual needs specified duration, for example, can be set to 24 hours.I.e. For the distribution of traffic situation in 24 hours in the specified region, it is divided into multiple business hours sections, wherein peak value speed Rate corresponds to the portfolio highest period i.e. business load high period, when then determining other according to portfolio duration Between section, it is assumed that within 24 hours include 1 business load high period and 4 business loads low period.It is negative in each business It carries in the low period, according to the difference in distribution of traffic region, micro- station of shutdown is also different.In this way, in each business hours section Interior power consumption number is also different, and the macro/micro-base station for counting the unlatching in each business hours section respectively combines corresponding power consumption number, this Available 5 power consumption numbers in example, including 1 the first power consumption number and 4 the second power consumption numbers.
S13, according to preset first power consumption number and each corresponding weighting coefficient of second power consumption number, determine each Macro/micro-base station deployed position combination corresponding weighting power consumption number in specified duration.
Preferably, the first power consumption number and the corresponding weighting coefficient of each second power consumption number can continue according to each business hours section Duration determines.Continuation of the previous cases determines power consumption corresponding to each period according to each business hours section duration respectively The weighting coefficient of value, and then determine the weighted average of 5 power consumption numbers obtained above as the weighting power consumption in 24 hours Value.
When it is implemented, weighting coefficient can be configured according to actual needs, for example, can be set the first power consumption number and The corresponding weighting coefficient of second power consumption number is 0.5, that is, the weighting power consumption number determined is function under peak rate and when low-load Consumption value is averaged.
S14, determining real base station deployed position is combined according to the minimum macro/micro-base station deployed position of weighting power consumption number.
When it is implemented, preset network paramter models include the power of the coverage area of macro/micro-base station, macro/micro-base station Model and business model etc., preferably, preset business model non-uniform business model when being empty.As shown in Fig. 2 a- Fig. 2 c, For the business model schematic diagram of space-time unevenness, wherein business model schematic diagram when Fig. 2 a is the morning 10, Fig. 2 b are afternoon 8 Business model schematic diagram when point, business model schematic diagram when Fig. 2 c is peak rate.Fig. 2 a- Fig. 2 c is by 10*10 industry The region for grid composition of being engaged in, the corresponding demand rate of each services grid, changes with the variation of time, for the ease of It describes, is divided into peak rate and low-load rate in time in the embodiment of the present invention.From the point of view of whole region, the industry Being engaged in, model is in spatial distribution and non-uniform, and log-normal distribution is obeyed in space.Wherein, in Fig. 2 a- Fig. 2 c, color Show that portfolio is bigger more deeply feeling.
Based on business model shown in Fig. 2 a- Fig. 2 c, in step S11, can be determined according to process shown in Fig. 3 all full Macro/micro-base station deployed position combination of the given peak rate of foot.It should be noted that when peak rate optimal deployment strategy be Under the premise of guaranteeing each user frequency effect and Base Station Compatibility, minimize the power of system consumption, as shown in figure 3, may include with Lower step:
S31, according to preset business model, gridding is carried out to the service distribution map in specified region and handles to obtain multiple industry Business grid.
S32, according to the coverage area of preset macro base station, the uniform deployment covering specified region is macro in specified region Base station.
In step S32, the deployment macro base station that can be uniformly disposed in specified region according to the actual situation, to guarantee that this is specified The basic wireless signal covering in region, when it is implemented, only need to guarantee that the coverage area of each macro base station does not overlap each other, The coverage area of each macro base station may include multiple services grids.
S33, each macro base station for deployment judge each according to preset business model and macro base station power module Whether macro base station can carry portfolio in its coverage area, if so, process terminates, if not, executing step S34.
In step S33, that is, it is directed to the hot spot region of certain traffic overloads, lookup can not load hot spot region business demand Macro base station.
S34, the whole services grids covered for all first macro base stations found, from high to low according to portfolio Sequence successively select services grid deployment micro-base station, until being disposed in each macro base station coverage area searched Macro/micro-base station combination can carry the portfolio in the first macro base station coverage area.
In step S33, that is, be directed to certain traffic overloads hot spot region, search can not hot spot region business demand it is macro Base station.For macro base station being found in step S33, being unable to satisfy certain hot spot region business demands in its coverage area, Assuming that disposing 10 macro base stations (M1, M2 ... ... M10) altogether after implementation steps S32 in specified region, judging respectively each Whether macro base station can load the portfolio for all services grids for being included in its coverage area, cannot with M2, M4, M5 and M9 For the portfolio for loading all services grids for being included in its coverage area, then in step S34, by macro base station M2, M4, All services grids for including in M5 and M9 coverage area, descending according to portfolio are ranked up, and portfolio most Big services grid, which disposes a micro-base station, can be deployed in the services grid and neighbours' business specifically when disposing micro-base station The point of intersection of grid can also be deployed in the center of services grid, or be disposed according to actual needs, and the present invention is real Example is applied to this without limiting.Assuming that certain services grid in M2 coverage area deploys a micro-base station, M2 coverage area After one micro-base station of interior deployment, there are following two situations: a kind of situation be in M2 coverage area after disposing a micro-base station It has been able to carry the portfolio in its coverage area, another situation is still cannot to carry the industry in its coverage area Business amount needs to search at this time the macro base station for not being able to satisfy portfolio in its coverage area in M1~M10 again, it is assumed that remain as M2, M4, M5 and M9, by macro base station M2, M4, all services grids for including in M5 and M9 coverage area, according to portfolio by Arrive greatly it is small be ranked up, and dispose a micro-base station in time big services grid of portfolio, and so on, until that searches can not The macro base station can be carried by carrying the macro micro-base station combination disposed in the macro base station coverage area of portfolio in its coverage area All portfolios in coverage area.
Whether can be according to the above process determined for each macro base station of deployment if being needed in the macro base station coverage area It disposes micro-base station and determines the position of deployment micro-base station when needing to dispose micro-base station, it is thus possible to determine in specified region Macro/micro-base station position grouping of interior deployment.For different macro base station deployed positions, multiple macro/micro-base stations can be determined Position grouping.
Preferably, combined to further increase efficiency for each macro/micro-base station determined, it can also be for not It is tasted by least one services grid that micro-base station covers according to preset business model and micro-base station coverage area, power module Examination covers at least one services grid using micro-base station cluster substitution macro base station, and calculates separately and cover this extremely using micro-base station cluster Corresponding third power consumption number corresponding with when covering at least one services grid using macro base station the when a few services grid Four power consumption numbers are substituted in macro/micro-base station combination if third power consumption number less than the 4th power consumption number, can choose using micro-base station cluster Macro base station.
As shown in figure 4, in Fig. 4, abscissa is indicated for the variation schematic diagram of the area consumption value changed with area business amount The RB quantity that specified region occupies, ordinate indicate the power consumption number in specified region.As shown in Figure 4, (N is big by a macro base station and N In the natural number for being equal to 1) a micro-base station has many crosspoints on power module, therefore, in actual deployment base station process, Sometimes it is lower to dispose a macro base station power, it is lower to dispose N number of micro-base station power sometimes.For example, if 5 micro-base stations of deployment can To meet the business demand of service area (may include at least one services grid), and relative to using macro base station to dispose the industry Business region is more energy efficient (power consumption is lower), then 5 micro-base stations substitution deployment macro base stations of deployment can be used.
When it is implemented, for energy conservation, in low-load, for all macro/micro-base station portions for meeting given peak rate Position grouping is affixed one's name to, is needed according to the small base station of practical business situation cutoff.Wherein, the shutdown scheme of micro-base station includes centralization With two kinds of distribution.A kind of scheme of common branch's formula shutdown micro-base station is low in the business load for monitoring itself for micro-base station It prescribes a time limit in preset shutoff door, then reports macro base station request shutdown, turned off under the instruction of macro base station.
For each macro/micro-base station deployed position combination for meeting given peak rate, in the low-load period, part is micro- After base station is turned off according to above-mentioned shutdown scheme, it can determine that the macro/micro-base station deployed position combination is corresponding according to following formula Power consumption number:Wherein: M and N is respectively macro/combination of micro-base station deployed position in macro base station quantity With the quantity of small base station;sMAnd smThe respectively corresponding switch state value of macro base station and micro-base station, preferably, in the on state, Switch state value can be set to 1, in the closed state, switch state value can be set to 0;PMAnd PmRespectively macro base station and The corresponding power consumption number of micro-base station.
In the embodiment of the present invention, a kind of base station deployment method that the efficiency on all time dimensions is optimal is provided, is not only examined Network energy efficiency when peak rate is considered, and has considered in low-load business hours section after the shutdown of part micro-base station Network energy efficiency, so that base station deployment scheme is more reasonable.
Based on the same inventive concept, a kind of base station deployment position determining means are additionally provided in the embodiment of the present invention, due to The principle that above-mentioned apparatus solves the problems, such as is similar to base station deployment location determining method, therefore the implementation side of may refer to of above-mentioned apparatus The implementation of method, overlaps will not be repeated.
As shown in figure 5, being the structural schematic diagram of base station deployment position determining means provided in an embodiment of the present invention, comprising:
First determination unit 51, for according to preset network paramter models, determining that all satisfactions are given in specified region Macro/micro-base station deployed position combination of peak rate.
Wherein, network paramter models include macro/micro-base station power module, macro/micro-base station coverage area and business model.
Second determination unit 52, for determining that each macro/micro-base station deployed position combination is corresponding under peak rate respectively The first power consumption number and closed in each business low-load period for occurring in specified duration of each macro/micro-base station deployed position combination Corresponding each second power consumption number after disconnected part micro-base station.
Third determination unit 53, according to preset first power consumption number and the corresponding weighting system of each second power consumption number Number determines that each macro/micro-base station deployed position combination specifies the weighting power consumption number of duration at this, wherein the weighting coefficient is It is determined according to each business hours section duration.
4th determination unit 54 is practical for being determined according to the minimum macro/micro-base station deployed position combination of weighting power consumption number Base station deployment position.
Wherein, the first determination unit 51 may include:
Subelement is handled, for carrying out net to the service distribution map in the specified region according to preset business model Processing of formatting obtains multiple services grids;
Macro base station disposes subelement, for the coverage area according to preset macro base station, uniformly disposes in specified region Cover the macro base station in the specified region;
Subelement is searched, for each macro base station for deployment, according to preset business model and macro base station power mould Type searches the first macro base station that can not carry portfolio in its coverage area;
Micro-base station disposes subelement, whole services grids for being covered for all first macro base stations found, A services grid deployment micro-base station is successively selected according to the sequence of portfolio from high to low, until each macro base station searched covers Macro/micro-base station the combination disposed within the scope of lid can carry the portfolio in the first macro base station coverage area.
Preferably, base station deployment position determining means provided in an embodiment of the present invention, can also include:
Substituting unit, for at least one services grid not covered by micro-base station, deployment micro-base station cluster substitution to be covered Cover the second macro base station of at least one services grid;And when the judging result of judging unit is to be, use micro-base station cluster Substitution covers the second macro base station of at least one services grid;
Judging unit, corresponding third power consumption number when for judging to cover at least one services grid using micro-base station cluster Whether it is less than and covers corresponding 4th power consumption number when at least one services grid using the second macro base station.
Preferably, third determination unit 53, can be used for for each macro/micro-base station deployed position combination, according to following Method determines in the business low-load period corresponding second power consumption number after cutoff micro-base station: Wherein: M and N is respectively macro/combination of micro-base station deployed position in the quantity of macro base station and the quantity of small base station;sMAnd smRespectively Macro base station and the corresponding switch state value of micro-base station;PMAnd PmThe respectively corresponding power consumption number of macro base station and micro-base station.
For convenience of description, above each section is divided by function describes respectively for each module (or unit).Certainly, exist Implement to realize the function of each module (or unit) in same or multiple softwares or hardware when the present invention.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic Property concept, then additional changes and modifications can be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to include these modifications and variations.

Claims (8)

1. a kind of base station deployment location determining method characterized by comprising
All macro base stations and micro-base station for meeting given peak rate in specified region are determined according to preset network paramter models Deployed position combination, comprising: according to preset business model, the service distribution map in the specified region is carried out at gridding Manage to obtain multiple services grids;According to the coverage area of preset macro base station, uniformly deployment covers the specified area in specified region The macro base station in domain;For each macro base station of deployment, according to preset business model and macro base station power module, lookup can not be held Carry the first macro base station of portfolio in its coverage area;The whole service networks covered for all first macro base stations found Lattice successively select a services grid deployment micro-base station according to the sequence of portfolio from high to low, until each macro base searched Macro base station and the micro-base station combination disposed in coverage area of standing can carry the portfolio in the first macro base station coverage area; And
Each macro base station and the combination of micro-base station deployed position corresponding first power consumption number and each under peak rate are determined respectively Cutoff micro-base station in each business low-load period that macro base station and the combination of micro-base station deployed position occur in specified duration Corresponding each second power consumption number afterwards;
According to preset first power consumption number and each corresponding weighting coefficient of second power consumption number, each macro base station and micro- is determined Weighting power consumption number of the base station deployment position grouping in the specified duration, wherein the weighting coefficient is according to each business Period duration is determined;
It is combined according to weighting power consumption number minimum macro base station and micro-base station deployed position and determines real base station deployed position.
2. the method as described in claim 1, which is characterized in that the network paramter models include macro base station and micro-base station power Model, macro base station and micro-base station coverage area and business model.
3. the method as described in claim 1, which is characterized in that further include:
For at least one services grid not covered by micro-base station, deployment micro-base station cluster substitution covers at least one service network Second macro base station of lattice;
Judge whether corresponding third power consumption number is less than using second when covering at least one services grid using micro-base station cluster Macro base station covers corresponding 4th power consumption number when at least one services grid;
When the judgment result is yes, the second macro base station for covering at least one services grid is substituted using micro-base station cluster.
4. the method as described in claims 1 to 3 any claim, which is characterized in that be directed to each macro base station and micro-base station Deployed position combination determines in the business low-load period corresponding second power consumption after cutoff micro-base station in accordance with the following methods Value:Wherein:
M and N is respectively the quantity of macro base station and the quantity of micro-base station in macro base station and the combination of micro-base station deployed position;
sMAnd smThe respectively corresponding switch state value of macro base station and micro-base station;
PMAnd PmThe respectively corresponding power consumption number of macro base station and micro-base station.
5. a kind of base station deployment position determining means characterized by comprising
First determination unit, for according to preset network paramter models, determining all given peak value speed of satisfaction in specified region The macro base station and micro-base station deployed position of rate combine, comprising:
Subelement is handled, for carrying out gridding to the service distribution map in the specified region according to preset business model Processing obtains multiple services grids;
Macro base station disposes subelement, for the coverage area according to preset macro base station, the uniformly deployment covering in specified region The macro base station in the specified region;
Subelement is searched, for looking into for each macro base station of deployment according to preset business model and macro base station power module Look for the first macro base station that can not carry portfolio in its coverage area;
Micro-base station disposes subelement, whole services grids for being covered for all first macro base stations found, according to The sequence of portfolio from high to low successively selects a services grid deployment micro-base station, until each macro base station searched covers Macro base station and the micro-base station combination disposed within the scope of lid can carry the portfolio in the first macro base station coverage area;
Second determination unit, for determining that each macro base station and the combination of micro-base station deployed position are corresponding under peak rate respectively Each business low-load period that first power consumption number and each macro base station and the combination of micro-base station deployed position occur in specified duration Corresponding each second power consumption number after interior cutoff micro-base station;
Third determination unit is determined according to preset first power consumption number and each corresponding weighting coefficient of second power consumption number Each macro base station and micro-base station deployed position combine the weighting power consumption number in the specified duration;
4th determination unit, for determining practical base according to the minimum macro base station of weighting power consumption number and the combination of micro-base station deployed position It stands deployed position, wherein the weighting coefficient is determined according to each business hours section duration.
6. device as claimed in claim 5, which is characterized in that the network paramter models include macro base station and micro-base station power Model, macro base station and micro-base station coverage area and business model.
7. device as claimed in claim 5, which is characterized in that further include:
Substituting unit, for at least one services grid not covered by micro-base station, deployment micro-base station cluster substitution covering should Second macro base station of at least one services grid;And it when the judging result of judging unit is to be, is substituted using micro-base station cluster Cover the second macro base station of at least one services grid;
Judging unit, whether corresponding third power consumption number when for judging to cover at least one services grid using micro-base station cluster Less than the 4th power consumption number corresponding when covering at least one services grid using the second macro base station.
8. the device as described in claim 5~7 any claim, which is characterized in that
The third determination unit is specifically used for combining for each macro base station and micro-base station deployed position, in accordance with the following methods Determine in the business low-load period corresponding second power consumption number after cutoff micro-base station:Wherein: M and N is respectively the quantity of macro base station and the quantity of micro-base station in macro base station and the combination of micro-base station deployed position;sMAnd smRespectively Macro base station and the corresponding switch state value of micro-base station;PMAnd PmThe respectively corresponding power consumption number of macro base station and micro-base station.
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108174388B (en) * 2016-12-07 2021-05-04 ***通信集团设计院有限公司 Automatic decision-making method and device for microcellular site planning
TWI788928B (en) * 2021-07-29 2023-01-01 國立陽明交通大學 Simulation device and method for base station deployment
CN114793340A (en) * 2022-05-19 2022-07-26 中国银行股份有限公司 5G base station site selection method and device

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102300220A (en) * 2011-09-16 2011-12-28 华为技术有限公司 Method and device for determining deployment position of micro base station
CN103118369A (en) * 2011-11-16 2013-05-22 华为技术有限公司 Selection method and equipment of site locations and selection method and equipment of grids
CN103269490A (en) * 2013-05-28 2013-08-28 大连海事大学 Method for locating wireless mixing cellular network base station and measuring and calculating scale
CN103702337A (en) * 2014-01-03 2014-04-02 北京邮电大学 Determining method for small-scale base station deployment position
CN103957533A (en) * 2014-04-21 2014-07-30 南开大学 Multilayer heterogeneous network base station address selection method based on gradient algorithm
WO2015003768A1 (en) * 2013-07-12 2015-01-15 Alcatel Lucent Wireless telecommunications network nodes and methods
CN104378772A (en) * 2014-11-12 2015-02-25 西安交通大学 Cell-oriented amorphous coverage small base station deployment method in cellular network
CN104394535A (en) * 2014-12-05 2015-03-04 重庆大学 Base station planning method for cooperative communication

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102300220A (en) * 2011-09-16 2011-12-28 华为技术有限公司 Method and device for determining deployment position of micro base station
CN103118369A (en) * 2011-11-16 2013-05-22 华为技术有限公司 Selection method and equipment of site locations and selection method and equipment of grids
CN103269490A (en) * 2013-05-28 2013-08-28 大连海事大学 Method for locating wireless mixing cellular network base station and measuring and calculating scale
WO2015003768A1 (en) * 2013-07-12 2015-01-15 Alcatel Lucent Wireless telecommunications network nodes and methods
CN103702337A (en) * 2014-01-03 2014-04-02 北京邮电大学 Determining method for small-scale base station deployment position
CN103957533A (en) * 2014-04-21 2014-07-30 南开大学 Multilayer heterogeneous network base station address selection method based on gradient algorithm
CN104378772A (en) * 2014-11-12 2015-02-25 西安交通大学 Cell-oriented amorphous coverage small base station deployment method in cellular network
CN104394535A (en) * 2014-12-05 2015-03-04 重庆大学 Base station planning method for cooperative communication

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
一种覆盖室外热点用户区域的微基站选址算法;王坦, 朱欣;《2011全国无线及移动通信学术大会论文集》;20110915;全文

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