CN106686707A - Tilt-adjusting dynamic sector hibernating method based on centralized self-organizing network architecture - Google Patents
Tilt-adjusting dynamic sector hibernating method based on centralized self-organizing network architecture Download PDFInfo
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- CN106686707A CN106686707A CN201710017491.4A CN201710017491A CN106686707A CN 106686707 A CN106686707 A CN 106686707A CN 201710017491 A CN201710017491 A CN 201710017491A CN 106686707 A CN106686707 A CN 106686707A
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- 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
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- 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
Abstract
The invention discloses a tilt-adjusting dynamic sector hibernating method based on a centralized self-organizing network architecture. Multiple types of base stations exist in a heterogeneous network, the centralized SON architecture is adopted to control working modes of micro base stations and electrical downtilt of macro base stations under the condition that the macro base stations keep network coverage so as to achieve dynamic network adjustment, key performance indexes collected by an SON and about the base stations and a user are utilized to calculate and sort effect index function values of the micro base stations, hibernation testing is conducted on the micro base stations having smaller effect function values one by one, and if the micro base stations can be successfully switched into a hibernating state, the electrical downtilts of antennae of the macro sector base stations where the micro base stations are located are optimized and adjusted. The macro sector antenna tilt optimization and adjustment are increased. Due to the fact that antenna tilt serves as a key factor affecting system coverage and capacity properties, the problems of system capacity reduction and possible occurred coverage loopholes brought by base station closing can be effectively overcome.
Description
Technical field
The present invention relates to based on Inclination maneuver and the green communications power-saving technology of base station dormancy under a kind of heterogeneous network scene.
Background technology
As wireless communication technology constantly develops, the business demand of user also increases exponential so that business when
Between on Characteristic fluctuation, the multiformity in undulatory property and content spatially become more and more significant, network is generally with hotspot service
The form in region causes the problem of non-uniform of Network demand.Additionally, traditional macrocellular network is mainly to carry at the beginning of disposing
It is not intended to provide high data rate for big area coverage, is lifted by carrying out big change to existing network framework
Data rate and efficiency be not also very real, and these all bring huge challenge to traditional homogeneous network.If will have
The miniaturization base station (Small Cell) of lower-wattage is deployed under the coverage of conventional macro base station, and composition connects with difference
The heterogeneous network (HetNets) of ingress is possible to efficiently solve above-mentioned challenge.Small Cell are used as the effective of macro base station
Supplement, shorten the distance of network and user so that carry out radio communication using high band and be possibly realized, simultaneously because using same
The mode of frequency deployment also increases the reusability of Radio Resource.Enable Small Cell clever the characteristics of miniaturization volume simultaneously
Work is deployed in the hot spot region that traffic needs compare concentration, realizes lifting the effect of network capacity and coverage.But will
Small Cell introduce traditional macrocellular network while above-mentioned gain is obtained, and also bring new challenge.In HetNets
In order to increase the handling capacity of network and the service quality of network, the deployment density of Small Cell is constantly increasing, this not only increases
HetNets inside is added with layer interference and cross-layer interference problem, also can cause to cause unnecessary when network is in the low-load stage
Energy resource consumption.Based on the analysis of the problems referred to above, to HetNets efficiency optimizations in terms of improvement appoint and have huge space.
At present, industry expands extensive discussions with further investigation to the efficiency technology in HetNets.Due to traditional grand base
Station is to guarantee to obtain larger coverage, it is impossible to enough to adopt dormancy strategy to macro base station, has scholar to propose
Sleep mode is introduced to femto base station (Pico BS) in HetNets, ensures that suitable Pico BS meet by dormancy strategy real
The loading demand on border, closes the Pico BS of redundancy to reach the purpose of energy-conservation, so have effectively achieved the energy-conservation of network.So
And base station dormancy technology also causes covering leak and service Quality Down etc. while carrying out efficiency lifting for Netowrk tape to network
Problem, because HetNets environment itself has complexity and the characteristics of randomness, needs to consider net during design dormancy scheme
Factors in network, such as network capacity, the interference problem between coverage and cell, an efficient base station dormancy
Algorithm should simultaneously take into account the problems referred to above and power saving.Additionally, the vertical dip angle of antenna affects as in Radio Access Network
System covers a key factor with volumetric properties, and substantial amounts of research shows, by antenna tilt in optimization process
The lifting that can be realized to network entirety covering performance and volumetric properties is optimized and revised, while realizing to a certain extent to energy
The purpose of effect optimization.It should be noted that due to the HetNets complicated network structures, there is substantial amounts of systematic parameter, if to base
Station is optimized configuration and can then cause huge cost and workload.Both approaches cut both ways, and how to be bonded to
Come, reach mutual supplement with each other's advantages, become a difficult problem for research, this also provides thinking well for the development of novel energy-conserving algorithm.
The content of the invention
Goal of the invention：In order to overcome the above-mentioned deficiencies of the prior art, the invention provides a kind of be based on centralized self-organizing
The Inclination maneuver dynamic section dormancy method of the network architecture.The present invention is directed to HetNets scenes, proposes a kind of based on joint base station
The novel base station power-economizing method of dormant technology and sector Inclination maneuver technology.Wherein, the Pico BS in HetNets are stopped
Dormancy is processed, by the use of the utility function for designing as the foundation for choosing dormancy test, if Pico BS can be successfully entered dormancy shape
State, the then sector inclination angle in the sector cluster being further located to it carries out combined optimization, by the inclination angle performance index function of design
As optimal objective function, optimum inclination angle combination is found by the inclination angle prioritization scheme for designing.By to all of in network
Pico BS are carried out after dormancy test, using SON frameworks self-configuration function realize in HetNets grand sector inclination angle it is excellent
Change configuration.
Technical scheme：A kind of Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework, grand
Under conditions of the guarantee network coverage of base station, the mode of operation and the lower decline angle of macro base station to micro-base station in HetNets is concentrated
Process is controlled, the dynamic adjustment to network is realized, the dormancy to Pico BS in network is completed using centralized SON structures
Process is sought unity of action with grand fan antenna Inclination maneuver algorithm, finally realizes that Remote configuration network is joined using self-configuration function
Number.
In further embodiment, there is provided stop a kind of Inclination maneuver dynamic section based on centralized self-organizing network framework
Dormancy method, under conditions of macro base station keeps the network coverage, using centralized SON frameworks to the mode of operation of micro-base station and grand
The lower decline angle of base station is controlled, and realizes the dynamic adjustment to network；
Using SON collect with regard to base station and the Key Performance Indicator of user, calculate the utility function of each micro-base station
Value simultaneously sorts to it, carries out dormancy test to the micro-base station with less utility function value one by one；
If micro-base station enters dormancy, the antenna lower decline angle of the grand sector base stations being located to it is optimized adjustment.
Preferably, the method is further：
Step 1, acquisition network service status information and grand sector base stations antenna lower decline angle information；
Step 2, the utility function value according to all micro-base stations of utility function calculating for designing simultaneously are ranked up；According to effectiveness
Functional value order from small to large carries out dormancy test to each micro-base station successively；
If step 3, micro-base station can successfully carry out resting state, enter the micro-base station place sector as sector cluster center
The process of row cluster, to the sector inclination angle in the cluster of sector adjustment is optimized；
Step 4, centralized configuration is carried out to the inclination angle of grand sector in HetNets by the self-configuration function of SON.
Preferably, in step 1, network state information on services is collected and is processed：Collect the use of micro-base station service
The blocking probability information of user data rate information, micro-base station load information and micro-base station historical record.
Preferably, in step 2, the utility function of micro-base station p is expressed as：
Wherein, α, β, χ represent respectively weight factor, meet alpha+beta+χ=1, RpThe average user speed of micro-base station p is represented,
RmaxShow the maximum user rate of micro-base station p, LmaxRepresent the maximum load of micro-base station p, WmaxRepresent WpMaximum, RpTable
It is shown as：
Wherein,Represent user's set of micro-base station p, LpRepresent the loading condition of micro-base station p, LpIt is expressed as：
Wherein, NuseRepresent occupied Resource Block in micro-base station, NRBRepresent number of resource blocks total in micro-base station, WpIt is base
In the function of the blocking probability of micro-base station historical record, WpIt is expressed as：
WpConsider UE quantity N of micro-base station p acceptable serviceserved,pAnd in the range of micro-base station p it is blocked
UE quantity Nblocked,p, Pblocked,thRepresent blocking probability threshold value.
Preferably, in step 2, it is to the process that micro-base station carries out dormancy test：Calculated according to the utility function of design
The size of the utility function value of each micro-base station simultaneously sorts, and utility function value is stopped less than the micro-base station of predetermined value successively
Sleep and test；If tested micro-base station can completely shift user, then the micro-base station enters dormancy transition；
Whole users of service are handed over to into neighbouring macro base station or micro-base station, micro-base station set is updated；If will can not use
Family is shifted completely, then kept it turned on, and updates micro-base station set.
Preferably, when test micro-base station smoothly enters resting state, then centered on the micro-base station place sector, carry out into
Cluster process, to the sector in the cluster of sector Inclination maneuver is carried out, and the adjustment based on sector inclination angle is used sector spectrum efficiency and surrounding
Family interference selects to ensure object function：
More than the optimum obliquity information of inclination angle combination conduct of predetermined value, sector inclination angle is adjusted；Wherein, Sm,avg(β)、
Sm,edge(β)、Ip,totalAnd Ii,totalIt is expressed as：
Wherein, RM, u(β)、User u, edge customer u are represented respectivelyedgeThe data obtained in macro station sector m
Speed；
RBM, u、The user u and edge customer u of macro station sector m are represented respectivelyedgeThe Resource Block for obtaining；
Resource occupation indicator is represented, is 1 when n-th RB block of macro station sector i is occupied, otherwise
For 0；The power on n-th RB block of macro station sector i is represented,Represent from macro station sector i to UE u, n-th
Average channel gain on individual RB blocks；
Resource occupation indicator is represented, is 1 when n-th RB block of micro-base station p is occupied, otherwise be
0,The power on n-th RB block of micro-base station p is represented,Represent that user u receives n-th RB from micro-base station p
The logarithm value of the channel gain of block；β represents the angle vector being made up of grand fan antenna inclination angle,Represent the collection of femto base station p
Close,Represent the set of macro station sector m；
A, b, wavg, wedgeRepresent that utility function needs the weight coefficient of Consideration, meet a+b=1, wavgAnd wedge's
Unit is 1/bits/s/Hz；
Sm,avgAnd Sm,edgeThe average spectral efficiency (ase) and edge spectrum efficiency of sector m, wherein edge spectrum efficiency are represented respectively
It is 5% calculating being distributed according to whole spectrum efficiency；
wavgAnd wedgeUtility function is affected as the weighter factor of spectrum efficiency to Sm,avgAnd Sm,edgeStress；
Ip,totalThe user of micro-base station is subject to the interference signal intensity from grand sector m around representing,
Ii,totalMacro base station around representingIn user be subject to macro station sector m interference signal intensity, then
Macro station sector m calculates interference information and simultaneously sends information to OAM, and what the max of subscripting was represented is the maximum of corresponding factor, this
A little information are used for being normalized, and the above-mentioned parameter information for calculating grand sector utility function is concentrated by OAM
Collection processes what is obtained.
Preferably, treating the sector at dormancy micro-base station place carries out cluster process, and is produced from sector around according to target sector
The raw size for affecting decides whether cluster, when the impact that sector change of pitch angle is produced to sector around is more than the grand sector of desired value
Study as a sector cluster unit.
Preferably, the sector in the cluster of sector is carried out unifying Inclination maneuver, is found Inclination maneuver problem as one most
The problem of optimization aim is processing, and inclination angle optimization process is specific as follows：
4) assume to sector clusterIn sector inclination angle according to the regular derivation for being given：
WhereinSector in set S represents and be likely to result in a sector office
The sector of portion's smallest point, finally obtains normaliztion constantT is guarantee object function TmGeneral type；
5) presetting dip vector is obtainedWherein m ∈ M, k ∈ K,
Wherein
M represents the set of macro station sector m；K is the number of times for limiting optimal solution；K takes 10；
6) according to following equation
It is determined that optimal day
Line dip vector.
Preferably, in step 3, dormancy survey is carried out to the micro-base station in network according to the size of micro-base station utility function value
Examination, carries out joint inclination angle and optimizes and revises to the sector in the micro-base station place sector cluster that can successfully carry out dormancy；Circulation is above-mentioned
Process, till all micro-base stations are all tested.
Preferably, in step 4, when network completes the dormancy test to all micro-base stations and the adjustment at sector inclination angle,
The inclination angle of grand sector in heterogeneous network is configured by the self-configuration function of SON.
Beneficial effect：Inclination maneuver dynamic section based on centralized self-organizing network framework provided in an embodiment of the present invention
Dormancy method, has the advantage that：
1st, the characteristics of this method make use of base station dormancy technology effectively can reduce network energy consumption, in HetNets
Pico BS devise a kind of novel energy-conserving algorithm for combining base station dormancy and Inclination maneuver technology, in centralized SON frameworks
OAM platforms are focused on to determine that needs are stopped according to the Pico BS utility functions of design to the service status information of base station
The base station of dormancy, can macroscopically realize the balance to network whole energy effect and network performance；
2nd, this method increased the adjustment to grand fan antenna inclination angle on the basis of base station dormancy, using the change at inclination angle
The network coverage leak caused come the closing made up due to Pico BS and the problem of service Quality Down.Additionally, inclining in design
The consideration of the spectrum efficiency to base station and interference is fully demonstrated in the tuning performance function of angle, has been conducive to improving system spectrum utilization
Rate and throughput performance.
3rd, this method has been considered as centralized SON to realize algorithm when Inclination maneuver dynamic section dormancy algorithm is realized
Scheme and network configuration, are so effectively improved the response speed of network, decrease operation costs and networking
Cost is in interior fixed assets investment.
Description of the drawings
Fig. 1 is the Inclination maneuver dynamic section dormancy based on centralized self-organizing network framework provided in an embodiment of the present invention
The implementing procedure figure of method.
Fig. 2 is the Inclination maneuver dynamic section dormancy based on centralized self-organizing network framework provided in an embodiment of the present invention
The example scenario figure of method.
Fig. 3 is the Inclination maneuver dynamic section dormancy based on centralized self-organizing network framework provided in an embodiment of the present invention
The centralized SON configuration diagrams of method.
Fig. 4 is the Inclination maneuver dynamic section dormancy based on centralized self-organizing network framework provided in an embodiment of the present invention
The sector cluster schematic diagram of method.
Specific embodiment
With reference to specific embodiment and Figure of description, the present invention is further elucidated, it should be understood that these embodiments are only used
In the explanation present invention rather than restriction the scope of the present invention, after the present invention has been read, those skilled in the art are to this
The modification of the bright various equivalent form of values falls within the application claims limited range.
As shown in figure 1, a kind of Inclination maneuver dynamic fan based on centralized self-organizing network framework of closed type SON structure
Area dormancy method realizes schematic diagram.Macro base station is located at center of housing estate wherein in HetNets scenes, by Pico BS random placements
To around grand sector, the dip vector being made up of grand fan antenna inclination angle is β.Using OFDMA as descending access way, according to
LTE protocol, using time/frequency source block as traffic scheduling ultimate unit, when Pico BS are closed, by changing grand sector day
Line inclination angle size is changing the coverage of sector and the channel situation of user, and concrete step is as follows：
Step one, the OAM of centralized SON frameworks obtain network service shape by the interface between base station in HetNets
State information and grand sector base stations antenna lower decline angle information, wherein network service status information are mainly comprising the user of base station service
The information such as number, loading condition, the history blocking probability of base station and Resource Block occupancy situation, these information will be for determining base station
Dormancy and inclination angle adjustment；
Step 2, according to the service state situation with regard to Pico BS in HetNets collected in step one, using setting
The micro-base station utility function of meterThe utility function value of each micro-base station is calculated, is selected
The minimum Pico BS of functional value are selected as dormancy testing base station.If Pico BS to be tested can hand over to neighbour whole users
Nearly base station, then the Pico BS can enter resting state.Otherwise, the testing base station can not enter resting state, update to be tested
Collection of base stations；
Step 3, when test micro-base station smoothly enter resting state, then with the Pico BS places sector as sector cluster in
The heart, carries out cluster process, and the foundation of sector cluster is to produce the size for affecting on sector around according to target sector center to determine
The sector that sector cluster is included, i.e., produce the grand sector for significantly affecting when target sector center inclination angle changes to sector around
Study as a sector cluster unit.Then carry out joint inclination angle to the sector in the cluster of sector to optimize and revise.Define inclination angle to adjust
The performance index function of whole design is
The object function that the function is optimized and revised as inclination angle, realizes finding according to the gradient rise method of present invention design
The optimized algorithm at optimum inclination angle, gradient rise method detailed process is as follows, carries out derivation to performance index function first,WhereinIn set S
Sector represents the sector for being likely to result in local minimum points in a sector, and using derivation result normaliztion constant is obtained
Then, presetting dip vector is obtained,Wherein m ∈ P, k ∈ K.Finally, according to optimum inclination angle principleIt is determined that optimal antenna tilt vector.
Step 4, circulation execution step three, until all micro-base stations are all till test.When network is completed to all
The dormancy test of micro-base station and the adjustment at sector inclination angle, are inclined by the self-configuration function of SON to grand sector in heterogeneous network
Angle is configured.
To make the object, technical solutions and advantages of the present invention become more apparent, embodiment is named and referring to the drawings right
It is described in detail based on the Inclination maneuver dynamic section dormancy method of centralized self-organizing network framework.
Embodiment 1：The invention discloses a kind of Inclination maneuver dynamic section based on centralized self-organizing network framework is stopped
Dormancy method, the Matlab softwares used in the HetNets scenes typically comprising 19 macro base stations and 228 Pico BS compositions
Emulation, scene is as shown in Fig. 2 specifically include step：
(1) base station information is collected：The characteristics of centralized SON network architectures is that the product platform OAM for realizing SON is concentrated on
MME/S-GW sides, so can effectively concentrate and complete the self-optimizing to network and self-configuration function.OAM by with base station it
Between interface S1 and interface X2 between base station and base station obtain under network service status information and grand sector base stations antenna electric
Obliquity information, as shown in Figure 3.Wherein network service status information is mainly comprising number of users, loading condition, the base station of base station service
History blocking probability and the key performance information (KPI) such as Resource Block occupancy situation, these information will be used for determining base station
Dormancy and the adjustment at inclination angle；
(2) the dormancy test of Pico BS：Information of network service to collecting in OAM platforms is processed, it is assumed that micro-
Collection of base stations isUsing micro-base station utility functionCalculate the effect of each micro-base station
It is ranked up with functional value, the Pico BS p for selecting functional value minimumtestAs dormancy testing base station.If Pico to be tested
BS ptestWhole users can be handed over to neighbor base station, represent that the Pico BS can enter resting state.Otherwise, the test
Base station can not enter resting state.Update collection of base stations to be tested
(3) grand fan antenna Inclination maneuver：When test micro-base station ptestResting state is smoothly entered, by the Pico BS institutes
In sector as sector cluster center, cluster process is carried out, the sector gathering of formation is combined intoThe foundation of sector cluster is basis
Target sector center produces the size for affecting on sector around and determines the sector that sector cluster is included, i.e., when target sector center inclination angle
When changing sector around is produced the grand sector for significantly affecting as a sector cluster unit to study, as shown in Figure 4.Connect
To sector clusterIn sector carry out joint inclination angle and optimize and revise.By Inclination maneuver performance index function：As the object function that inclination angle is optimized and revised, profit
Optimized search is carried out to performance index function with gradient rise method, first derivation is carried out to performance index function, i.e.,
Wherein
Sector in set S represents the fan for being likely to result in local minimum points in a sector
Area, using derivation result normaliztion constant is obtainedThen, presetting dip vector is obtained,
Wherein m ∈ P, k ∈ K.Finally, according to optimum inclination angle principle
It is determined that optimal antenna tilt vector, by the combination of optimum inclination angle antenna tilt vector is assigned to
(4) Remote configuration network：After Inclination maneuver algorithm is terminated, when network completes the dormancy to all micro-base stations
Test and the adjustment at sector inclination angle, are configured, such as by the self-configuration function of SON to the inclination angle of grand sector in heterogeneous network
Shown in Fig. 1, the execution schematic diagram of whole invention is illustrated.
(5) processing procedure of the embodiment is as follows：
1. initializing grand sets of sectors isPico BS collection is combined intoThe inclination angle being made up of all grand fan antenna inclination angles
Vector isWherein inclination angleCorresponding is grand sectorThe inclination angle number of degrees.The Pico of starting stage dormancy
BS gathersThe Pico BS set of unlatching
2. according to OAM collection networks service status information and the inclination angle situation of each sector, set of computationsIn own
The utility function value of Pico BS simultaneously sorts, by the Pico with minimum utility functionAs testing base station, what it was located
Grand sector is mtest；
3. attempt Pico BS stestUser be transferred to neighbouring Macro BS or Pico BS, according to the frequency of user
Spectrum efficiency size is paid the utmost attention to shift the low user of spectrum efficiency as the judgment criterion of user's transfer sequence；
If 4. Pico BS stestTo can completely be shifted with corpse, then stestDormancy transition can be entered.First, will
stestWhole users of service hand over to neighbouring Macro BS or Pico BS, then update collection of base stations
If stestUser can not completely be shifted, then keep stestOpening, updates collection of base stations
If 5. Pico BS stestDormancy process is successfully carried out, with sector mtestFor sector centers, sector cluster is determinedIt is right
Sector cluster carries out inclination angle and optimizes and revises, by adjusting sector cluster in the size of antenna tilt realize the excellent of coverage and capacity
Change；Otherwise, it is directly entered step 6；
6. collection of base stations is updatedJudgeWhether it is empty.IfIt is not sky, then return to step 2 continues to hold
Row dormancy strategy, otherwise algorithm terminates, and completes sleep procedure.
The preferred embodiment of the present invention described in detail above, but, the present invention is not limited in above-mentioned embodiment
Detail, the present invention range of the technology design in, various equivalents can be carried out to technical scheme, this
A little equivalents belong to protection scope of the present invention.It is further to note that described in above-mentioned specific embodiment
Each particular technique feature, in the case of reconcilable, can be combined by any suitable means.In order to avoid not
Necessary repetition, the present invention is no longer separately illustrated to various possible compound modes.
Claims (10)
1. a kind of Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework, it is characterised in that：
Under conditions of macro base station keeps the network coverage, using mode of operation and grand base of the centralized SON frameworks to micro-base station
The lower decline angle stood is controlled, and realizes the dynamic adjustment to network；
Using SON collect with regard to base station and the Key Performance Indicator of user, calculate the utility function value of each micro-base station simultaneously
It is sorted, one by one dormancy test is carried out to the micro-base station with less utility function value；
If micro-base station enters dormancy, the antenna lower decline angle of the grand sector base stations being located to it is optimized adjustment.
2. the Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework according to claim 1,
Characterized in that, the method is further：
Step 1, acquisition network service status information and grand sector base stations antenna lower decline angle information；
Step 2, the utility function value according to all micro-base stations of utility function calculating for designing simultaneously are ranked up；According to utility function
Value order from small to large carries out dormancy test to each micro-base station successively；
If step 3, micro-base station can successfully carry out resting state, carry out into the micro-base station place sector as sector cluster center
Cluster process, to the sector inclination angle in the cluster of sector adjustment is optimized；
Step 4, centralized configuration is carried out to the inclination angle of grand sector in HetNets by the self-configuration function of SON.
3. the Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework according to claim 2,
Characterized in that, in step 1, network state information on services is collected and is processed：Collect the number of users of micro-base station service
According to the blocking probability information of rate information, micro-base station load information and micro-base station historical record.
4. the Inclination maneuver dynamic section dormancy side based on centralized self-organizing network framework according to Claims 2 or 3
Method, it is characterised in that：
In step 2, the utility function of micro-base station p is expressed as：
Wherein, α, β, χ represent respectively weight factor, meet alpha+beta+χ=1, RpRepresent the average user speed of micro-base station p, RmaxTable
Show the maximum user rate of micro-base station p, LmaxRepresent the maximum load of micro-base station p, WmaxRepresent WpMaximum, RpIt is expressed as：
Wherein,Represent user's set of micro-base station p, LpRepresent the loading condition of micro-base station p, LpIt is expressed as：
Wherein, NuseRepresent occupied Resource Block in micro-base station, NRBRepresent number of resource blocks total in micro-base station, WpIt is based on micro-
The function of the blocking probability of base station historical record, WpIt is expressed as：
WpConsider UE quantity N of micro-base station p acceptable serviceserved,pAnd in the range of micro-base station p blocked UE numbers
Amount Nblocked,p, Pblocked,thRepresent blocking probability threshold value.
5. the Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework according to claim 4,
It is characterized in that：
In step 2, it is to the process that micro-base station carries out dormancy test：Each micro-base station is calculated according to the utility function of design
Utility function value size and sort, successively dormancy test is carried out less than the micro-base station of predetermined value to utility function value；If
Tested micro-base station can completely shift user, then the micro-base station enters dormancy transition；
Whole users of service are handed over to into neighbouring macro base station or micro-base station, micro-base station set is updated；If can not be complete by user
Total transfer, then keep it turned on, and updates micro-base station set.
6. the Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework according to claim 5,
It is characterized in that：When test micro-base station smoothly enters resting state, then centered on the micro-base station place sector, carry out at cluster
Reason, to the sector in the cluster of sector Inclination maneuver is carried out, and the adjustment based on sector inclination angle is dry to sector spectrum efficiency and surrounding user
Disturb selection and ensure object function：
More than the optimum obliquity information of inclination angle combination conduct of predetermined value, sector inclination angle is adjusted；Wherein, Sm,avg(β)、
Sm,edge(β)、Ip,totalAnd Ii,totalIt is expressed as：
Wherein, RM, u(β)、User u, edge customer u are represented respectivelyedgeThe data speed obtained in macro station sector m
Rate；
RBM, u、The user u and edge customer u of macro station sector m are represented respectivelyedgeThe Resource Block for obtaining；
Resource occupation indicator is represented, is 1 when n-th RB block of macro station sector i is occupied, otherwise for 0；
PTi (n)The power on n-th RB block of macro station sector i is represented,Represent from macro station sector i to UEu, in n-th RB block
On average channel gain；
Resource occupation indicator is represented, is 1 when n-th RB block of micro-base station p is occupied, otherwise for 0,The power on n-th RB block of micro-base station p is represented,Represent that user u receives n-th RB block from micro-base station p
Channel gain logarithm value；β represents the angle vector being made up of grand fan antenna inclination angle,The set of femto base station p is represented,Represent the set of macro station sector m；
A, b, wavg, wedgeRepresent that utility function needs the weight coefficient of Consideration, meet a+b=1, wavgAnd wedgeUnit
For 1/bits/s/Hz；
Sm,avgAnd Sm,edgeRespectively represent sector m average spectral efficiency (ase) and edge spectrum efficiency, wherein edge spectrum efficiency be by
According to 5% calculating of whole spectrum efficiency distribution；
wavgAnd wedgeUtility function is affected as the weighter factor of spectrum efficiency to Sm,avgAnd Sm,edgeStress；
Ip,totalThe user of micro-base station is subject to the interference signal intensity from grand sector m around representing,
Ii,totalMacro base station around representingIn user be subject to macro station sector m interference signal intensity, then macro station fan
Area m calculates interference information and simultaneously sends information to OAM, and what the max of subscripting was represented is the maximum of corresponding factor, these information
For being normalized, the above-mentioned parameter information for calculating grand sector utility function is all by OAM centralized collections
What reason was obtained.
7. the Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework according to claim 6,
It is characterized in that：Treating the sector at dormancy micro-base station place carries out cluster process, and shadow is produced to sector around according to target sector
Loud size decides whether cluster, when the impact that sector change of pitch angle is produced to sector around is more than the grand sector conduct of desired value
One sector cluster unit is studying.
8. the Inclination maneuver dynamic section dormancy method based on centralized self-organizing network framework according to claim 6,
It is characterized in that：Sector in the cluster of sector is carried out to unify Inclination maneuver, using Inclination maneuver problem as a searching optimization
The problem of target is processing, and inclination angle optimization process is specific as follows：
1) assume to sector clusterIn sector inclination angle according to the regular derivation for being given：
WhereinSector in set S represents and be likely to result in a sector local most
The sector of point, finally obtains normaliztion constantT is guarantee object function TmGeneral type, j represents jth
Individual macro station sector；I represents i-th macro base station sector；βiRepresent the antenna tilt of i-th macro station sector；
2) presetting dip vector is obtainedWherein m ∈ M, k ∈ K,
Wherein
M represents the set of macro station sector m；K is the number of times for limiting optimal solution；K takes 10；
3) according to following equation
It is determined that optimal antenna inclines
Angle vector；βtAnd βt+1The antenna tilt vector at t, t+1 moment is represented respectively.
9. the Inclination maneuver dynamic section based on centralized self-organizing network framework according to any one of claim 2 to 7
Dormancy method, it is characterised in that：In step 3, the micro-base station in network is stopped according to the size of micro-base station utility function value
Sleep and test, joint inclination angle is carried out to the sector in the micro-base station place sector cluster that can successfully carry out dormancy and is optimized and revised；Circulation
Said process, till all micro-base stations are all tested.
10. the Inclination maneuver dynamic section based on centralized self-organizing network framework according to any one of claim 2 to 7
Dormancy method, it is characterised in that：In step 4, when network completes the dormancy test to all micro-base stations and sector inclination angle
Adjustment, is configured by the self-configuration function of SON to the inclination angle of grand sector in heterogeneous network.
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