CN107404726A - A kind of isomery cellular network micro-base station dispositions method based on efficiency - Google Patents
A kind of isomery cellular network micro-base station dispositions method based on efficiency Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
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- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
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Abstract
The invention discloses a kind of isomery cellular network micro-base station dispositions method based on efficiency, the energy efficiency of isomery cellular network is improved by reasonably setting the density of micro-base station, realizes green communications.Isomery cellular network micro-base station dispositions method provided by the invention based on efficiency, by reasonably setting the density of micro-base station to increase the covering of the capacity of system, enhancing cell edge, the energy efficiency of two layers of isomery cellular network can also be made effectively to be lifted.
Description
Technical field
The present invention relates to a kind of isomery cellular network micro-base station deployment scheme based on efficiency, belong to isomery cellular network with
And green communications technology.
Background technology
Isomery cellular network is a kind of brand-new network architecture developed on the basis of conventional cellular network, at present
It is confirmed as the network architecture of the 5th Generation Mobile Communication System (5G).In order to meet the mobile service amount demand of rapid growth, 5G
The delay of offer 20Gbps peak rate and Millisecond it is expected.In order to meet these demands, academia is proposed in macro base station base
On plinth, introduce some low power consumption nodes be used for expand power system capacity, unload focus macro base station load, enhancing in-door covering,
Improve the service quality of Cell Edge User.The network architecture being made up of macro base station and low power nodes is referred to as isomery Cellular Networks
Network.
With the growth of mobile service amount, the energy consumption problem of mobile network gradually protrudes.Key of the energy efficiency as 5G
Performance indications, the problem of having become the extensive concern of academia and industrial quarters.Future, there is provided the micro-base station of high-speed data access
Will be more and more, due to the dense deployment of a large amount of micro-base stations, interference profile is more complicated in isomery cellular network, in order to ensure
The communication quality of user, operator will certainly improve the transmission power of base station, and this can cause the significantly drop of network energy efficiency
It is low, do not meet the requirement of green communications.Because, it is necessary to the cellular network energy efficiency of isomery is studied and optimized.
At present, the research work on the power-economizing method of heterogeneous network is broadly divided into the management of Radio Resource, network is cut
The strategy changed and base station dormancy strategy etc..But most of researchs be all the power consumption of isomery cellular network is carried out it is excellent
Change, the directly research to energy efficiency is also more rare.
The content of the invention
Goal of the invention：Energy efficiency reduces during in order to solve the problems, such as micro-base station dense deployment in different honeycomb network forming network, this
Invention provides a kind of micro-base station dispositions method that can lift isomery cellular network energy efficiency, by reasonably setting micro-base station
Density improve the energy efficiency of isomery cellular network, realize green communications.
Technical scheme：To achieve the above object, the technical solution adopted by the present invention is：
Two layers of isomery cellular network is made up of macro base station, micro-base station and user, and macro base station provides basic covering；General feelings
The transmission power of macro base station is bigger under condition, and density is smaller；Supplement of the micro-base station as macro base station, for mitigating macro base station
Load, enhancing in-door covering, the service quality for improving Cell Edge User；Micro-base station transmission power is smaller, and density is bigger；
In addition, all kinds of mobile subscribers are dispersed with network.
A kind of isomery cellular network micro-base station dispositions method based on efficiency, comprises the following steps：
(1) system modelling：Macro base station, micro-base station and user are built using the Poisson process several times in random geometry
Mould, two layers of isomery cellular network model is obtained, user is using the base station access criterion based on maximum signal interference ratio；
(2) the signal interference ratio analysis of targeted customer：The signal interference ratio of targeted customer is calculated based on two layers of isomery cellular network model；
(3) coverage rate analysis of targeted customer：Represented using the complementary Cumulative Distribution Function of targeted customer's statistic SINR
The coverage rate distribution of targeted customer, uses the probability generating function of Poisson process and the characteristic derivation system pair of Laplace transform
The coverage rate of targeted customer；
The minimum throughout of (4) two layers of isomery cellular network is analyzed：Using each layer base station to the coverage rate of targeted customer and
The minimum throughout of Shannon's theorems derivation system；
(5) total power consumption of two layers of base station is analyzed：The power consumption of base station is mainly by quiescent dissipation and dynamic power consumption two
Part, the total power consumption of base station is derived according to the minimum throughout of the power consumption of base station and system；
The energy efficiency mathematical modeling of (6) two layers isomery cellular network：Energy efficiency is defined as system unit area
The ratio of total throughout and total power consumption；
The optimization of (7) two layers isomery cellular network energy efficiency：Optimized variable be micro-base station density, optimization object function
For negative energy efficiency, the upper density limit of micro-base station is less than the density of macro base station, and optimization method is Fibonacci method.
Beneficial effect：Isomery cellular network micro-base station dispositions method provided by the invention based on efficiency, by rational
The capacity of system can not only be increased, strengthen the covering of cell edge by setting the density of micro-base station, can also make two layers of isomery honeybee
The energy efficiency of nest network is effectively lifted.
Brief description of the drawings
Fig. 1 is the schematic diagram of a scenario of two layers of isomery cellular network；
Fig. 2 is macro base station and the deployment schematic diagram of micro-base station；
Fig. 3 is the particular flow sheet that this method is realized.
Embodiment
The present invention is further described below in conjunction with the accompanying drawings.
It is a kind of two layers of isomery cellular network architecture being made up of macro base station and micro-base station as shown in Figure 1, solid line represents to connect
The useful signal received, dotted line represent the interference signal received.Here base station uses open access pattern, as long as i.e. target
User's statistic SINR is more than the signal interference ratio thresholding of base station, then user just accesses this base station.In order to avoid a user simultaneously
Access the situation of multilayer base station, it is assumed that the signal interference ratio thresholding β of base stationkValue be both greater than 1.
Fig. 3 is the implementation process of the inventive method, and specific implementation process is illustrated below.
(1) system modelling：Macro base station, micro-base station and user are built using the Poisson process several times in random geometry
Mould, two layers of isomery cellular network model shown in Fig. 2 is obtained, user is using the base station access criterion based on maximum signal interference ratio.
Without loss of generality, the position of targeted customer is designated as origin position by us, by the position of i-th of base station of kth layer
It is designated as rki；Consider the situation of full rate multiplexing, base station rkiChannel fading loss between targeted customer is designated asAssuming that letter
Road is Rayleigh channel, thenExponential distribution is obeyed, definition path loss function is L (rki)=| | rki||-α, k=1,2, α ＞ 2, α
For path loss coefficient.
Meanwhile it is P that we, which define the transmission powers of all base stations of kth layer,Tk, the service user number of all base stations of kth layer
It is Nk, all base stations of kth layer are that all users each serviced are assigned with identical bandwidth resources, all base stations of kth layer
Quiescent dissipation is Pstatic_k。
(2) the signal interference ratio analysis of targeted customer：For base station rki, the signal power that targeted customer receives isThe signal interference ratio of targeted customer isWherein, I is other base stations to targeted customer's
Total interference；In theory, the signal interference ratio of targeted customer isσ2For constant additive noise power,
But in typical isomery cellular network, main interference source is the interference of minizone, and it typically can be more much larger than additive noise,
Therefore we have been generally acknowledged that additive noise does not have too much influence to the performance of isomery cellular network, therefore this method ignores additivity
Noise item；
(3) coverage rate analysis of targeted customer：(believed dry using the complementary Cumulative Distribution Function of targeted customer's statistic SINR
Than the probability more than a certain threshold value) represent that the coverage rate of targeted customer is distributed, use the probability generating function and La Pu of Poisson process
The characteristic derivation system of Lars conversion is embodied as to the coverage rate of targeted customer
Wherein, PCCoverage rate for system to targeted customer, λkFor the density of kth layer base station, βkKth layer base station is accessed for targeted customer
Signal interference ratio thresholding；
The minimum throughout of (4) two layers of isomery cellular network is analyzed：Derive first each user be connected to kth layer base station when
Between accounting beThen it is using the minimum throughout of coverage rate and Shannon's theorems derivation system
PCkCoverage rate for kth layer base station to targeted customer,λuFor user density, RkFor target
User is connected to the achievable rate of kth layer base station,B is system bandwidth,
(5) total power consumption of two layers of base station is analyzed：The power consumption of base station is mainly by quiescent dissipation and dynamic power consumption two
Part, the total power consumption of all base stations of kth layer is Pk=Pstatic_k+E[Nk]PTk；In theory, base station rkiGeneral power disappear
Consume for Pki=Pstatic_k+wkiPTk, wkiFor base station rkiThe scale factor related to load, it is E that we, which unify value, in this method
[Nk], therefore the total power consumption of all base stations of kth layer is identical, represents as above；
The energy efficiency mathematical modeling of (6) two layers isomery cellular network：Energy efficiency is defined as system unit area
The ratio of total throughout and total power consumption, i.e.,
The optimization of (7) two layers isomery cellular network energy efficiency：Optimized variable is the density λ of micro-base station2, optimization aim letter
Count as negative energy efficiency, i.e. f (x)=0- ηEE(x) the density λ of micro-base station, is represented used here as variable x2, the density of micro-base station
The upper limit is less than the density of macro base station, and optimization method is Fibonacci method；Detailed process is：
(a) initial section (a, b) and precision ε ＞ 0 are set；
(b) x is made2=a+0.618 (b-a), f2=f (x2), go to step (c)；
(c) x is made1=a+0.382 (b-a), f1=f (x1), go to step (d)；
If (d) | x1-x2| ＜ ε, thenStop iteration；If | f1-f2| >=ε, then go to step (e)；
If (e) f1＜ f2, then b=x2, x2=x1, x1=a+0.382 (b-a), goes to step (d)；
If f1=f2, then a=x1, b=x2, go to step (b)；
If f1＞ f2, then a=x1, x1=x2, x2=a+0.618 (b-a), goes to step (d)；
Initial section (a, b) is set to (0, λ by us2max), wherein λ2max, can according to above-mentioned steps for the upper density limit of micro-base station
Try to achieve the density of optimal micro-base station As λ2It is brought into energy efficiency mathematical modeling
The maximum of energy efficiency can be tried to achieve.
Described above is only the preferred embodiment of the present invention, it should be pointed out that：For the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (7)
- A kind of 1. isomery cellular network micro-base station dispositions method based on efficiency, it is characterised in that：Comprise the following steps：(1) system modelling：Macro base station, micro-base station and user are modeled using the Poisson process several times in random geometry, obtained To two layers of isomery cellular network model, user uses the base station based on maximum to access criterion；(2) the signal interference ratio analysis of targeted customer：The signal interference ratio of targeted customer is calculated based on two layers of isomery cellular network model；(3) coverage rate analysis of targeted customer：Target is represented using the complementary Cumulative Distribution Function of targeted customer's statistic SINR The coverage rate distribution of user, using the probability generating function of Poisson process and the characteristic derivation system of Laplace transform to target The coverage rate of user；The minimum throughout of (4) two layers of isomery cellular network is analyzed：Coverage rate and Shannon using each layer base station to targeted customer The minimum throughout of Theorem deduction system；(5) total power consumption of two layers of base station is analyzed：The power consumption of base station mainly by quiescent dissipation and dynamic power consumption two parts, The total power consumption of base station is derived according to the minimum throughout of the power consumption of base station and system；The energy efficiency mathematical modeling of (6) two layers isomery cellular network：Energy efficiency is defined as always gulping down for system unit area The ratio of the amount of telling and total power consumption；The optimization of (7) two layers isomery cellular network energy efficiency：Optimized variable is the density of micro-base station, and optimization object function is negative Energy efficiency, the upper density limit of micro-base station is less than the density of macro base station, and optimization method is Fibonacci method.
- 2. the isomery cellular network micro-base station dispositions method according to claim 1 based on efficiency, it is characterised in that：It is described In step (1), the position of targeted customer is designated as origin position, the position of i-th of base station of kth layer is designated as rki, base station rki Channel fading loss between targeted customer is designated asPath loss function is L (rki)=| | rki||-α, k=1,2, α ＞ 2, α is path loss coefficient.
- 3. the isomery cellular network micro-base station dispositions method according to claim 2 based on efficiency, it is characterised in that：It is described In step (2), the signal power that targeted customer receives isThe signal interference ratio of targeted customer isWherein, I is total interference of other base stations to targeted customer.
- 4. the isomery cellular network micro-base station dispositions method according to claim 3 based on efficiency, it is characterised in that：It is described In step (3), using the probability generating function of Poisson process and the characteristic derivation system of Laplace transform to targeted customer's Coverage rate, it is embodied asWherein, PCCoverage rate for system to targeted customer, λkFor The density of kth layer base station, βkThe signal interference ratio thresholding of kth layer base station is accessed for targeted customer.
- 5. the isomery cellular network micro-base station dispositions method according to claim 4 based on efficiency, it is characterised in that：It is described In step (4), each user is derived first be connected to the time accounting of kth layer base station and beThen use The minimum throughout of coverage rate and Shannon's theorems derivation system isPCkIt is kth layer base station to targeted customer Coverage rate,λuFor user density, RkKth layer base is connected to for targeted customer The achievable rate stood,B is system bandwidth,
- 6. the isomery cellular network micro-base station dispositions method according to claim 5 based on efficiency, it is characterised in that：It is described In step (5), the total power consumption of all base stations of kth layer is Pk=Pstatic_k+E[Nk]PTk。
- 7. the isomery cellular network micro-base station dispositions method according to claim 6 based on efficiency, it is characterised in that：It is described In step (7), the detailed process of Fibonacci method is：(a) initial section (a, b) and precision ε ＞ 0 are set；(b) x is made2=a+0.618 (b-a), f2=f (x2), go to step (c)；(c) x is made1=a+0.382 (b-a), f1=f (x1), go to step (d)；If (d) | x1-x2| ＜ ε, thenStop iteration；If | f1-f2| >=ε, then go to step (e)；If (e) f1＜ f2, then b=x2, x2=x1, x1=a+0.382 (b-a), goes to step (d)；If f1=f2, then a=x1, b=x2, go to step (b)；If f1＞ f2, then a=x1, x1=x2, x2=a+0.618 (b-a), goes to step (d).
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| CN110233751A (en) * | 2019-05-27 | 2019-09-13 | 曲阜师范大学 | A kind of isomery hybrid network method for analyzing performance of equal value based on interference |
| CN110519770A (en) * | 2019-08-30 | 2019-11-29 | 南京工程学院 | A kind of two layers of isomery cellular network energy efficiency optimization method |
| CN115190493A (en) * | 2022-07-07 | 2022-10-14 | 苏州麦杰工业大数据产业研究院有限公司 | Network base station deployment optimization method, system, device and storage medium based on hardmac distance and dynamic payment mechanism |
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Application publication date: 20171128 Assignee: Nanjing Chuangxin Technology Co.,Ltd. Assignor: NANJING INSTITUTE OF TECHNOLOGY Contract record no.: X2024980002730 Denomination of invention: A method for deploying micro base stations in heterogeneous cellular networks based on energy efficiency Granted publication date: 20190906 License type: Common License Record date: 20240312 |