CN105208580B - Physical-layer cell identifier PCI optimization method and system in LTE network - Google Patents
Physical-layer cell identifier PCI optimization method and system in LTE network Download PDFInfo
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Abstract
The invention discloses PCI optimization method and systems in a kind of LTE long-term evolving network, are related to mobile communication technology field.The embodiment of the present invention, which is mentioned, optimizes PCI allocation plan by using genetic algorithm, relatively traditional optimal way, genetic algorithm is that evolutionary search calculates since trail, covering surface is big, more conducively it is global preferentially, so that pci signal optimization analysis is more accurate rationally, more accurate, reasonable planning and adjustment are carried out to wireless network signal so as to realize, fundamentally improve the overall performance of LTE wireless network.Further using first to the secondary synchronization signal SSS progress crossing operation and mutation operator of PCI each in current candidate group grouping, crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping again, so as to avoid situation distribution PSS identical in same station in PCI distribution, the more serious same mould disturbed condition such as mould 3, mould 6 can be substantially reduced.
Description
Technical field
The present invention relates to mobile communication technology field, in particular to physical-layer cell is marked in a kind of LTE long-term evolving network
Know the method and system of PCI optimization.
Background technique
Under LTE (Long Term Evolution, long term evolution) network, the base station density of base station density ratio 2G, 3G network
Greatly, station spacing is small；There is MPS process planning, PCI planning is unreasonable etc. leads to problems such as same mould interference obvious, influences wireless
Network performance.
With the Large scale construction of LTE network, the same mould interference analysis and optimization of scientific and efficient LTE wireless network are to protect
Demonstrate,prove one ring of key of the construction quality of LTE wireless network.
Therefore, it is necessary to signal interference optimization analytical technology and method new under LTE network be explored, to LTE wireless network
Interference and optimization problem carry out more deep scientific qualitative and accurate quantification analysis, and then obtain more accurately optimizing solution party
Case fundamentally improves the overall performance of LTE wireless network.
Summary of the invention
In view of the above problems, the embodiment of the present invention is provided in a kind of LTE long-term evolving network based on area interference total amount
Signal optimizing method and system propose a kind of new pci signal quantitative accurate optimization analytical technology, so as to realize to network
Signal carries out more accurate, reasonable adjustment, fundamentally improves the overall performance of LTE wireless network.
The embodiment of the present invention adopts the technical scheme that
One embodiment of the invention provides a kind of method of PCI optimization in LTE long-term evolving network, the method packet
It includes:
PCI allocation plan is generated into multiple candidate sets at random；
The direction reduced using same mould probability of interference total amount carries out hereditary fortune as genetic evolution direction, to the multiple candidate set
It calculates；Wherein, a genetic operation is to carry out crossing operation to current candidate group using genetic algorithm according to PCI assignment constraints condition
And mutation operator, generate next generation PC I allocation plan candidate set；
Every during cycle, the relatively upper period PCI distribution of same mould probability of interference total amount of current PC I allocation plan is calculated
The reduced value of the same mould probability of interference total amount of scheme terminates the genetic operation if the reduced value is less than outage threshold, will
Current PC I allocation plan realizes the PCI optimization of LTE network as preferred PCI allocation plan.
The PCI assignment constraints condition includes:
The cell for belonging to same PCI grouping in the co-sited cell of current PC I allocation plan, in next generation PC I allocation plan
It is middle to distribute identical secondary synchronization signal SSS；
It is described that crossing operation and variation fortune are carried out to current candidate group using genetic algorithm according to PCI assignment constraints condition
It calculates, generating next generation PC I allocation plan candidate set includes:
Crossing operation and variation are carried out to the secondary synchronization signal SSS that PCI each in current candidate group is grouped using genetic algorithm
Operation obtains SSS signal in next generation PC I allocation plan and distributes candidate set；Wherein, belong to the cell of same PCI grouping in institute
It states crossing operation and mutation operator front and back still falls within same PCI grouping；
Crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping using genetic algorithm, obtained down
PSS signal distributes candidate set in generation PCI allocation plan.
The same mould probability of interference total amount is that the minizone target area Nei Ge is weighed with mould probability of interference according to cellular traffic
The sum of the weighting that value, cell switching weight, cell adjacent area weight and interference type weight computing obtain；
Calculation method with mould probability of interference total amount includes:
For grid is respectively detected in target area, multiple Reference Signal Received Power are obtained；
Determine that the corresponding quasi- serving cell of each detection grid and standard are dry according to the multiple Reference Signal Received Power
Disturb cell；
Judge minizone with mould interference relationships, and calculate first community detection grid at by second community same mould interfere
Probability；The first community is the serving cell surely at the detection grid；The second community is in addition to first community
One other quasi- serving cells or surely interfered cell；
For cell each in target area, calculate first community as at multiple detection grids of quasi- serving cell by second
The sum of same mould probability of interference of cell obtains same mould probability of interference of the first community by second community；
The minizone the target area Nei Ge is calculated with mould probability of interference according to cellular traffic weight, cell switching power
The sum of value, cell adjacent area weight and weighting of interference type weight, obtain in target area with mould probability of interference total amount.
It is described according to the multiple Reference Signal Received Power determine the corresponding quasi- serving cell of each detection grid and
Quasi- interfered cell includes:
The average value for calculating each cell Reference Signal Received Power at detection grid, as each cell at detection grid
Average reference signal receive power；
It calculates each cell average reference signal at detection grid and receives power and maximum average reference signal reception function
The difference of rate；Determine that cell corresponding to average reference signal reception power of the difference less than first threshold takes subject to determining
Business cell determines that the difference is less than second threshold and is greater than corresponding to the average reference signal reception power of the first threshold
Cell determine subject to interfered cell；
The judgement minizone calculates first community at detection grid by the same mould of second community with mould interference relationships
Probability of interference includes:
At detection grid, for each quasi- serving cell, between judgement and quasi- serving cell, there are each similar mould interference to close
Other quasi- serving cells of system and quasi- interfered cell；Each similar mould interference relationships include same physical-layer cell identifier PCI dry
Disturb, PCI there are the interference of 3 relationship of mould, PCI there are the interference of 6 relationship of mould, PCI that there are the interference of 30 relationship of mould, PCI, there are moulds
There are SSS with the interference of m1 relationship for interference and PCI of the interference, PCI of 50 relationships there are secondary synchronization signal SSS with m0 relationship；
At detection grid, calculates first community and the same mould that there is the second community with mould interference relationships therewith is interfered generally
Rate；The first community is the serving cell surely at the detection grid；The second community is one in addition to first community
Other quasi- serving cells or surely interfered cell；
It is described to judge that existing each similar mould is dry between each quasi- serving cell and other quasi- serving cells and quasi- interfered cell
The relationship of disturbing includes:
Judge whether other quasi- serving cells and the PCI of quasi- interfered cell and the PCI of the quasi- serving cell are identical, if they are the same
It is then determining to exist with the quasi- serving cell with PCI interference relationships；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to PCI pairs of the results of 3 modulus and the quasi- serving cell
Whether the result of 3 modulus is identical, then determines that there are the interference of 3 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to PCI pairs of the results of 6 modulus and the quasi- serving cell
Whether the result of 6 modulus is identical, then determines that there are the interference of 6 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 30 modulus and the PCI of the quasi- serving cell
It is whether identical to the result of 30 modulus, then determine that there are the interference of 30 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 50 modulus and the PCI of the quasi- serving cell
It is whether identical to the result of 50 modulus, then determine that there are the interference of 50 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the m0 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell
Whether the m0 of PCI secondary synchronization signal SSS is identical, then determines that there are PCI secondary synchronization signal SSS is same with the quasi- serving cell if they are the same
The interference of m0 relationship；
Judge the m1 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell
Whether the m1 of PCI secondary synchronization signal SSS is identical, then determines that there are PCI secondary synchronization signal SSS is same with the quasi- serving cell if they are the same
The interference of m1 relationship.
It calculates in detection grid (logp,latp) at first community A by therewith exist with mould interference relationships second community B
Same mould probability of interference CS AB(logp,latp) method are as follows:
First community A is calculated as the same mould probability of interference at multiple detection grids of quasi- serving cell by second community B
The sum of, obtain same mould probability of interference C of the first community A by second community BS ABMethod are as follows:
Wherein, there is n detection grid small by second in the detection grid that first community A is covered as quasi- serving cell
Area B is interfered with mould, CA(logp,latp) it is cell A in detection grid (logp,latp) at average reference signal receive power,
IBFor cell B (logp,latp) in detection grid (logp,latp) at average reference signal receive power, logpTo detect grid
Lattice longitude；latpTo detect grid dimension values；MAB,nFor the Reference Signal Received Power for detecting second community B at grid at n
The number being detected；
The calculating minizone the target area Nei Ge switches with mould probability of interference according to cellular traffic weight, cell
The sum of weight, cell adjacent area weight and weighting of interference type weight, obtain include: with mould probability of interference total amount in target area
F (P)=FCoCH(P)+FCoPCI(P)+Fmod(3)(P)+Fmod(6)(P)+Fmod(30)(P)+Fmod(50)(P)+Fm0(P)+Fm1
(P)
Wherein,
Wherein,
The TWiFor cell i telephone traffic weight, SWijIt is cell i to the switching weight of cell j, AWijIt is cell i to cell
The adjacent area weight of j；Cell in target area includes { cell 1, cell 2 ... cell i ... cell j ... cell L }；kxTo interfere class
Type weight, wherein kCoCHFor co-channel interference weight, kCoPCIWeight, k are interfered for same PCImod(3)Weight, k are interfered for mould 3mod(6)For
Mould 6 interferes weight, kmod(30)Weight, k are interfered for mould 30mod(50)Weight, k are interfered for mould 50m0Weight, k are interfered for same m0m1It is same
M1 interferes weight；c0For co-channel interference constant.
Specifically multiple reference signals are obtained from LTE frequency sweep data, LTE drive test data and/or MR measurement report data to connect
Receive power.
In addition, the embodiment of the invention also provides the system that PCI in a kind of LTE long-term evolving network optimizes, the system
Include:
Random grouping module, for PCI allocation plan to be generated multiple candidate sets at random；
Genetic optimization module, genetic evolution direction is in the direction for being reduced using same mould probability of interference total amount, to described more
A candidate set carries out genetic operation；Wherein, a genetic operation is using genetic algorithm according to PCI assignment constraints condition to current
Candidate set carries out crossing operation and mutation operator, generates next generation PC I allocation plan candidate set；
Optimize determining module, for calculating the same mould probability of interference total amount phase of current PC I allocation plan every during cycle
To the reduced value of the same mould probability of interference total amount of upper period PCI allocation plan, if the reduced value is less than outage threshold, eventually
The only genetic operation realizes the PCI optimization of LTE network using current PC I allocation plan as preferred PCI allocation plan.
The PCI assignment constraints condition includes:
The cell for belonging to same PCI grouping in the co-sited cell of current PC I allocation plan, in next generation PC I allocation plan
It is middle to distribute identical secondary synchronization signal SSS；
The genetic optimization module includes hereditary control unit and single genetic element:
The heredity control unit, genetic evolution direction is in the direction for being reduced using same mould probability of interference total amount, control
Single genetic element carries out genetic operation to the multiple candidate set；
The single genetic element, for being carried out using genetic algorithm to current candidate group according to PCI assignment constraints condition
Crossing operation and mutation operator generate next generation PC I allocation plan candidate set；
The single genetic element includes:
Secondary synchronization signal heredity subelement, the auxiliary synchronization for being grouped using genetic algorithm to PCI each in current candidate group
Signal SSS carries out crossing operation and mutation operator, obtains SSS signal in next generation PC I allocation plan and distributes candidate set；Wherein,
The cell for belonging to same PCI grouping still falls within same PCI grouping before and after the crossing operation and mutation operator；
Primary synchronization signal heredity subelement, for being carried out using genetic algorithm to the primary synchronization signal PSS in each PCI grouping
Crossing operation and mutation operator obtain PSS signal in next generation PC I allocation plan and distribute candidate set.
The same mould probability of interference total amount is that the minizone target area Nei Ge is weighed with mould probability of interference according to cellular traffic
The sum of the weighting that value, cell switching weight, cell adjacent area weight and interference type weight computing obtain；
The system also includes same mould probability of interference total amount computing modules, for calculating with mould probability of interference total amount；
The same mould probability of interference total amount computing module includes:
Reference Signal Received Power acquiring unit, it is multiple with reference to letter for obtaining for grid is respectively detected in target area
Number receive power；
Cell type judging unit, for determining each detection grid pair according to the multiple Reference Signal Received Power
The quasi- serving cell answered and quasi- interfered cell；
With mould probability of interference computing unit, for judging that minizone with mould interference relationships, and calculates first community and detecting
By the same mould probability of interference of second community at grid；The first community is the serving cell surely at the detection grid；Institute
Stating second community is other quasi- serving cells in addition to first community or interfered cell surely；
Cell is with mould probability of interference computing unit, for calculating first community as quasi- for each cell in target area
By the sum of same mould probability of interference of second community at multiple detection grids of serving cell, first community is obtained by second community
With mould probability of interference；
With mould probability of interference total amount calculating unit, for calculating the minizone the target area Nei Ge with mould probability of interference root
According to the sum of cellular traffic weight, cell switching weight, cell adjacent area weight and weighting of interference type weight, target area is obtained
With mould probability of interference total amount in domain.
The cell type judging unit includes:
Average reference signal receives power calculation subelement, receives for calculating each cell reference signal at detection grid
The average value of power receives power as average reference signal of each cell at detection grid；
Cell type judgment sub-unit, for calculate each cell average reference signal at detection grid receive power with most
Big average reference signal receives the difference of power；Determine that the difference is less than the average reference signal reception power of first threshold
Serving cell subject to corresponding cell is determining determines that the difference is less than second threshold and is greater than being averaged for the first threshold
Interfered cell subject to cell corresponding to Reference Signal Received Power is determining；
The same mould probability of interference computing unit includes:
With mould interference relationships judgment sub-unit, at detection grid, for each quasi- serving cell, judgement to be serviced with quasi-
There are other quasi- serving cells of each similar mould interference relationships and quasi- interfered cells between cell；Each similar mould interference relationships
Including same physical-layer cell identifier PCI interference, PCI, there are the interference of 3 relationship of mould, PCI, there are the interference of 6 relationship of mould, PCI to exist
Interference and PCI of the interference, PCI of 30 relationship of mould there are the interference of 50 relationship of mould, PCI there are secondary synchronization signal SSS with m0 relationship
There are SSS with the interference of m1 relationship；
It is dry with mould to existing therewith at detection grid, calculating first community with mould probability of interference computation subunit
Disturb the same mould probability of interference of the second community of relationship；The first community is the serving cell surely at the detection grid；Institute
Stating second community is other quasi- serving cells in addition to first community or interfered cell surely；
The same mould probability of interference computation subunit is calculated in detection grid (logp,latp) at first community A deposited therewith
In the same mould probability of interference C of the second community B of same mould interference relationshipsS AB(logp,latp) formula are as follows:
The cell calculates multiple detection grids of the first community A as quasi- serving cell with mould probability of interference computing unit
Place is obtained same mould probability of interference C of the first community A by second community B by the sum of the same mould probability of interference of second community BS ABPublic affairs
Formula are as follows:
Wherein, there is n detection grid small by second in the detection grid that first community A is covered as quasi- serving cell
Area B is interfered with mould, CA(logp,latp) it is cell A in detection grid (logp,latp) at average reference signal receive power,
IBFor cell B (logp,latp) in detection grid (logp,latp) at average reference signal receive power, logpTo detect grid
Lattice longitude；latpTo detect grid dimension values；MAB,nFor the Reference Signal Received Power for detecting second community B at grid at n
The number being detected；
The same mould probability of interference total amount calculating unit calculates the formula with mould probability of interference total amount are as follows:
F (P)=FCoCH(P)+FCoPCI(P)+Fmod(3)(P)+Fmod(6)(P)+Fmod(30)(P)+Fmod(50)(P)+Fm0(P)+Fm1
(P)
Wherein,
Wherein,
The TWiFor cell i telephone traffic weight, SWijIt is cell i to the switching weight of cell j, AWijIt is cell i to cell
The adjacent area weight of j；Cell in target area includes { cell 1, cell 2 ... cell i ... cell j ... cell L }；kxTo interfere class
Type weight, wherein kCoCHFor co-channel interference weight, kCoPCIWeight, k are interfered for same PCImod(3)Weight, k are interfered for mould 3mod(6)For
Mould 6 interferes weight, kmod(30)Weight, k are interfered for mould 30mod(50)Weight, k are interfered for mould 50m0Weight, k are interfered for same m0m1It is same
M1 interferes weight；c0For co-channel interference constant.
As it can be seen that the embodiment of the present invention provides a kind of method of physical-layer cell identifier PCI optimization in LTE long-term evolving network
And system, a kind of new pci signal frequency distribution analysis and optimisation technique are proposed, PCI is distributed by using genetic algorithm
Scheme optimizes, and relatively traditional optimal way, genetic algorithm used in the embodiment of the present invention is the evolutionary search since trail
Calculate, covering surface is big, more conducively it is global preferentially so that pci signal optimization analysis is more accurate rationally, so as to realize to net
Network signal carries out more accurate, reasonable adjustment, fundamentally improves the overall performance of LTE wireless network.
Further, in the embodiment of the present invention, PCI allocation plan progress genetic computation is obtained using genetic algorithm next
During for candidate set, using first to the secondary synchronization signal SSS progress crossing operation of PCI each in current candidate group grouping and change
Xor, then crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping, so as to avoid PCI points
It distributes PSS identical situation in same station in matching, the more serious same mould disturbed condition such as mould 3, mould 6 can be substantially reduced,
So that the genetic effect of the embodiment of the present invention is more preferably faster, optimize more targeted.
Further, in the embodiment of the present invention, same mould probability of interference total amount is calculated using based on aggregative weighted algorithm,
It accurately calculates to obtain according to cellular traffic weight, cell switching weight, cell adjacent area weight and interference type weight etc. each
With mould probability of interference total amount in target area under PCI allocation plan, make it possible to the overall interference degree to each PCI allocation plan
Quantitative accurate analysis is realized, so that prioritization scheme is more rationally accurate.
Detailed description of the invention
Fig. 1 is PCI optimization method flow chart in a kind of LTE long-term evolving network provided in an embodiment of the present invention；
Fig. 2 is mapping function schematic diagram of the C/I provided in an embodiment of the present invention to probability of interference；
Fig. 3 is PCI optimization system structural block diagram in a kind of LTE long-term evolving network provided in an embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is described in further detail.
Referring to Fig. 1, the embodiment of the present invention provides a kind of method of PCI optimization in LTE long-term evolving network, including walks as follows
It is rapid:
S101: PCI allocation plan is generated into multiple candidate sets at random.
Here, candidate set is referred to as candidate set population, for implementing genetic evolution operation to candidate set population, obtains
Preferred scheme.
It should be noted that 504 independent physical-layer cell identifier PCI, these PCI quilts are defined in LTE system altogether
It is divided into 168 groups, every group respectively corresponds different sets of numbers(value range is 0~167).Contain 3 in each group again only
One identification code(value range is 0~2, respectively corresponds ID in different groups).So in the presence ofIt is right
It should be related to.
TD-LTE system efficiently controls co-channel interference using mechanism such as interference randomization, interference elimination, interference coordinations.
In LTE system, many physical channel/signal such as PSS/SSS, PCFICH etc., frequency domain position is all related with PCI at that time, therefore
The reasonability of PCI planning is critically important.If PCI planning is bad, more serious neighboring interval interference will cause, to reduce cell
Handling capacity increases propagation delay time etc..
From the point of view of physical layer, PCI (physical-layer Cell identity) identifies the physical-layer cell mark of cell
Know, is made of, can be obtained by simple operation primary synchronization signal (PSS) and secondary synchronization signal (SSS).Formula is as follows: PCI
=PSS+3*SSS, wherein PSS value is 0...2 (actually 3 kinds of difference PSS sequences), and SSS value is (actually 168 kinds of 0...167
Different SSS sequences), it is that there are 504 PCI from 0...503, therefore in physical layer using the range that above-mentioned formula can obtain PCI.
In fact, PCI can be interpreted as scrambling code, it is right just as downlink scrambling code is used to distinguish sector in a wcdma system
Data to be sent are scrambled, so that terminal can distinguish different sectors.
Same mould interference described here, SameMode ILTErference refers in TLE communication system, since PCI is same
Wireless network signal between neighboring community caused by stamping is prominent interferes with each other.
Genetic algorithm, the main spy of genetic algorithm (Genetic Algorithm) are specifically used in the embodiment of the present invention
Point is directly to operate to structure objects, and there is no the restrictions of derivation and function continuity；With inherent Implicit Parallelism and
Better global optimizing ability；Using the optimization method of randomization, the search space of optimization can be obtained and instruct automatically, adaptively
Ground adjusts the direction of search, does not need determining rule.
S102: the direction reduced using same mould probability of interference total amount carries out the multiple candidate set as genetic evolution direction
Genetic operation；Wherein, a genetic operation is to be handed over using genetic algorithm current candidate group according to PCI assignment constraints condition
Operation and mutation operator are pitched, next generation PC I allocation plan candidate set is generated.
It should be noted that preferably, can be that is, random by multiple candidate sets first to candidate set progress crossing operation
Or according to certain regular combined crosswise, then mutation operator is carried out to candidate set, i.e., to the apportioning cost in candidate set according to according to PCI points
Random variation is carried out with constraint condition.But in practical application, it can also mutation operator on one side while crossing operation, can also first become
Xor, then carry out crossing operation, etc..
In LTE system, since PCI be used to determine the frequency domain position of the signals such as PSS, RS and PCFICH in cell.Its
In, the PCI assignment constraints condition includes:
The cell for belonging to same PCI grouping in the co-sited cell of current PC I allocation plan, in next generation PC I allocation plan
It is middle to distribute identical secondary synchronization signal SSS.
That is, the cell distribution for belonging to same PCI grouping in co-sited cell has in current PC I allocation plan
Identical secondary synchronization signal SSS, and in genetic operation, the above-mentioned cell for belonging to same PCI grouping is constrained at next generation PC I points
With identical secondary synchronization signal SSS is still distributed in scheme, for example, belonging in co-sited cell in current PC I allocation plan
The cell distribution secondary synchronization signal SSS of same PCI grouping is H, then belongs in co-sited cell in current PC I allocation plan same
If the secondary synchronization signal SSS that the cell of PCI grouping is distributed in next generation PC I allocation plan is also identical, for example is
T.In practical application, the SSS number that the cell that same PCI is grouped specifically is distributed is belonged to before and after genetic operation to change,
That is H can be equal to T, can also be not equal to T.
Originally belonged to the newly assigned secondary synchronization sequences SSS (PCI of all cells of same PCI Group in co-sited cell
GroupID:0~167) it also must be identical.Multiple PCI Group can be supported below the same eNodeBID, if belong to same
The judgement algorithm of one PCI Group is as follows:
WhereinExpression carries out lower floor operation to X.
In practical application, in order to further increase the effect of optimization, PCI assignment constraints condition can also include in following
Hold:
(1) identical PCI is avoided to distribute to adjacent area；
(2) the identical PCI of mould 3 is avoided to distribute to adjacent area, the identical bring access of the PSS sequence to evade neighboring community is same
Step interference and synchronization delayed time；
(3) the identical PCI of mould 6 is avoided to distribute to adjacent area, to evade the time-frequency domain position phase of neighboring community reference signal CRS
It comes between cell reference signals and interferes with generation；
(4) the identical PCI of mould 30 is avoided to distribute to adjacent area, it is identical with SRS with the DM RS frequency domain position for evading neighboring community
The interference of bring uplink detection signal；
(5) the identical PCI of mould 50 is avoided to distribute to adjacent area, the PCFICH frequency domain position to evade neighboring community is identical to be brought
Minizone PCFICH signal interference.
(6) the identical m0/m1 of SSS signal is avoided to distribute to adjacent area, it is same to evade the identical phase shift bring SSS signal of SSS
Step interference and synchronization delayed time.
Etc..
Preferably, described carry out intersection fortune to current candidate group using genetic algorithm according to PCI assignment constraints condition
It calculates and mutation operator, generation next generation PC I allocation plan candidate set includes:
Firstly, the secondary synchronization signal SSS that PCI each in current candidate group is grouped using genetic algorithm carry out crossing operation and
Mutation operator obtains SSS signal in next generation PC I allocation plan and distributes candidate set；Wherein, belong to the cell of same PCI grouping
Same PCI grouping is still fallen within before and after the crossing operation and mutation operator.
It should be noted that belonging to the cell SSS having the same of same PCI grouping, that is to say, that current PC I distribution
The cell for belonging to same PCI grouping in the co-sited cell of scheme is distributed after crossing operation and mutation operator in next generation PC I
Identical secondary synchronization signal SSS is distributed in scheme.In practical application, through belonging to same PCI before and after crossing operation and mutation operator
The SSS number that the cell of grouping is specifically distributed can be identical, can not also be identical.
Secondly, crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping using genetic algorithm,
It obtains PSS signal in next generation PC I allocation plan and distributes candidate set.
That is, genetic algorithm in PCI assigning process, carries out SSS (0 first for group cell same in LTE wireless network
~167) it distributes；Then PSS (0~2) distribution of cell in group is carried out again.Total interference is carried out on this basis just when the meter of F (P)
It calculates.Search for F (P) the smallest PCI allocation plan.
Total interference is just when F (P) i.e. with mould probability of interference total amount.
S103: every during cycle, a same mould probability of interference total amount relatively upper period for current PC I allocation plan is calculated
The reduced value of the same mould probability of interference total amount of PCI allocation plan terminates the heredity if the reduced value is less than outage threshold
Operation realizes the PCI optimization of LTE network using current PC I allocation plan as preferred PCI allocation plan.
For example, calculating every 300 seconds once with mould probability of interference total amount, if the current PC I allocation plan obtained through heredity
Same mould probability of interference total amount ratio 300s before PCI allocation plan same mould probability of interference total amount reduction degree it is enough
It is small, such as less than 0.1, then explanation, which is further continued for hereditary obtained result of going down, to get well too much than present, that is, has not had
There is the meaning for continuing genetic operation, has been at present substantially than more preferably scheme.At this point, genetic operation is terminated, it will
Current PC I allocation plan realizes the PCI optimization of LTE network as preferred PCI allocation plan.
Preferably, the same mould probability of interference total amount be the minizone target area Nei Ge with mould probability of interference according to small
The sum of the weighting that area's telephone traffic weight, cell switching weight, cell adjacent area weight and interference type weight computing obtain.That is this hair
In bright embodiment, using same mould probability of interference total amount is calculated based on aggregative weighted algorithm, i.e., according to cellular traffic weight,
Cell switching weight, cell adjacent area weight and interference type weight etc. accurately calculate to obtain target area under each PCI allocation plan
Interior same mould probability of interference total amount makes it possible to realize quantitative accurate analysis to the overall interference degree of each PCI allocation plan, in turn
So that prioritization scheme is more rationally accurate.
It should be noted that above-mentioned target area can be regional area, it is also possible to whole network, the i.e. embodiment of the present invention
Part PCI can be carried out for cell cluster, that is, serious interference region of serious interference to optimize and revise, can also be directed to entire net
Network region optimizes adjustment, for example optimizes to new network.
Preferably, the calculation method with mould probability of interference total amount includes:
For grid is respectively detected in target area, multiple Reference Signal Received Power are obtained；
Determine that the corresponding quasi- serving cell of each detection grid and standard are dry according to the multiple Reference Signal Received Power
Disturb cell；
Judge minizone with mould interference relationships, and calculate first community detection grid at by second community same mould interfere
Probability；The first community is the serving cell surely at the detection grid；The second community is in addition to first community
One other quasi- serving cells or surely interfered cell；
For cell each in target area, calculate first community as at multiple detection grids of quasi- serving cell by second
The sum of same mould probability of interference of cell obtains same mould probability of interference of the first community by second community；
The minizone the target area Nei Ge is calculated with mould probability of interference according to cellular traffic weight, cell switching power
The sum of value, cell adjacent area weight and weighting of interference type weight, obtain in target area with mould probability of interference total amount.
In LTE (Long Term Evolution, long term evolution) network, the Data Detections sides such as frequency sweep, drive test are used
Formula, for each detection grid, available multiple Reference Signal Received Power.In practical application, it can be obtained from multiple channel
Take Reference Signal Received Power.It preferably, specifically can be from LTE frequency sweep data, LTE drive test data and/or MR
Multiple Reference Signal Received Power are obtained in (Measurement Report, measurement report) data.
LTE drive test provides analysis indexes abundant for the service feature of wireless network, and LTE frequency sweep is then to the nothing of network
Linearly can be carried out the comprehensive measurement being fully accurate, the integrated analysis of drive test frequency sweep for promoted network precision of analysis and
Efficiency is most important.
It should be noted that for some detect grid for, around have several cells, pass through drive test or frequency sweep etc.
It is available to arrive Reference Signal Received Power of multiple cell at the detection grid in detection data.For multiple detections
For period, some cell may detect multiple Reference Signal Received Power at the detection grid, under normal circumstances, excellent
A kind of scheme of choosing is to need multiple Reference Signal Received Power of the cell calculating average value, to further increase data
The accurate of operation is determined.
Preferably, this step further includes to LTE frequency sweep data, LTE drive test data and/or MR (Measurement
Report, measurement report) multiple Reference Signal Received Power are obtained in data carries out pretreated step, specifically it may is that
(1) give up hash: data incomplete for frequency sweep data, while giving up the number for lacking longitude and latitude, PCI
According to；
(2) give up low-level data: since the sensitivity of sweep generator is higher, the signal lower than -120dBm can be connect
It receives, and these data do not parse for mobile phone, data do not have effect to analysis, therefore during importing
It gives and removes；
(3) frequency sweep point is corresponded into cell: be first according in frequency sweep data frequency point and PCI determine cell.If root
It is not unique according to the cell that frequency point and PCI are determined, then by distance after passing through calculation of longitude & latitude frequency sweep point to the distance of cell
Serving cell of the nearest cell as the frequency sweep point；
(4) the RSRP level mean value of the identical same cell of longitude and latitude is taken.Etc..
Further, described that the corresponding quasi- clothes of each detection grid are determined according to the multiple Reference Signal Received Power
Business cell and quasi- interfered cell include:
The average value for calculating each cell Reference Signal Received Power at detection grid, as each cell at detection grid
Average reference signal receive power；
It calculates each cell average reference signal at detection grid and receives power and maximum average reference signal reception function
The difference of rate；Determine that cell corresponding to average reference signal reception power of the difference less than first threshold takes subject to determining
Business cell determines that the difference is less than second threshold and is greater than corresponding to the average reference signal reception power of the first threshold
Cell determine subject to interfered cell.
That is, some cell may detect multiple Reference Signal Received Power at certain detection grid, firstly,
It calculates the multiple Reference Signal Received Power detected at the detection grid and calculates average value according to cell, even in certain detection grid
At lattice, around there are 4 cells, respectively A cell, B cell, C cell, D cell.Multiple ginsengs of A, B, C, D cell are detected altogether
Signal reception power is examined, firstly, calculate at the detection grid, for the average value of multiple Reference Signal Received Power of A cell,
It obtains average reference signal of the A cell at detection grid and receives power PA；For multiple Reference Signal Received Power of B cell
Average value, obtain B cell detection grid at average reference signal receive power PB；For the multiple with reference to letter of C cell
Number receive power average value, obtain C cell detection grid at average reference signal receive power PC；For D cell
The average value of multiple Reference Signal Received Power obtains average reference signal of the D cell at detection grid and receives power PD。
It is received in power in aforementioned four average reference signal, maximum value is denoted as Pmax。
It then calculates each cell average reference signal at detection grid and receives power and the reception of maximum average reference signal
The difference of power, specifically, calculating separately Pmax-PA、Pmax-PB、Pmax-PC、Pmax-PD.Determine that the difference is less than first threshold
Average reference signal receive power corresponding to cell determine subject to serving cell, that is to say, that above-mentioned difference is in the first threshold
Serving cell subject to cell corresponding to average reference signal reception power in value (such as 6db) is determining, the quasi- service are small
Area refers at the detection grid, may become the cell of serving cell.Above-mentioned difference is less than second threshold (such as 12db)
And be greater than the average reference signal in first threshold (such as 6db) and receive interfered cell subject to the determination of cell corresponding to power,
The quasi- interfered cell refers at the detection grid, may become the cell of interfered cell.And reference signal is received
Power is less than the cell that maximum Reference Signal Received Power is more than second threshold (such as 12db), it is generally recognized that the detection grid
Interference it is sufficiently small, do not constitute interference signal, can ignore.
Specifically, the judgement minizone is with mould interference relationships, and it is small by second at detection grid to calculate first community
The same mould probability of interference in area includes:
At detection grid, for each quasi- serving cell, between judgement and quasi- serving cell, there are each similar mould interference to close
Other quasi- serving cells of system and quasi- interfered cell；Each similar mould interference relationships include same physical-layer cell identifier PCI dry
Disturb, PCI there are the interference of 3 relationship of mould, PCI there are the interference of 6 relationship of mould, PCI that there are the interference of 30 relationship of mould, PCI, there are moulds
There are SSS with the interference of m1 relationship for interference and PCI of the interference, PCI of 50 relationships there are secondary synchronization signal SSS with m0 relationship；
At detection grid, calculates first community and the same mould that there is the second community with mould interference relationships therewith is interfered generally
Rate；The first community is the serving cell surely at the detection grid；The second community is one in addition to first community
Other quasi- serving cells or surely interfered cell.
Preferably, existing all kinds of between each quasi- serving cell of the judgement and other quasi- serving cells and quasi- interfered cell
Include: with mould interference relationships
Judge whether other quasi- serving cells and the PCI of quasi- interfered cell and the PCI of the quasi- serving cell are identical, if they are the same
It is then determining to exist with the quasi- serving cell with PCI interference relationships；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to PCI pairs of the results of 3 modulus and the quasi- serving cell
Whether the result of 3 modulus is identical, then determines that there are the interference of 3 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to PCI pairs of the results of 6 modulus and the quasi- serving cell
Whether the result of 6 modulus is identical, then determines that there are the interference of 6 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 30 modulus and the PCI of the quasi- serving cell
It is whether identical to the result of 30 modulus, then determine that there are the interference of 30 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 50 modulus and the PCI of the quasi- serving cell
It is whether identical to the result of 50 modulus, then determine that there are the interference of 50 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the m0 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell
Whether the m0 of PCI secondary synchronization signal SSS is identical, then determines that there are PCI secondary synchronization signal SSS is same with the quasi- serving cell if they are the same
The interference of m0 relationship；
Judge the m1 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell
Whether the m1 of PCI secondary synchronization signal SSS is identical, then determines that there are PCI secondary synchronization signal SSS is same with the quasi- serving cell if they are the same
The interference of m1 relationship.
It continues to use above-mentioned example: existing with quasi- serving cell A with mould interference relationships at detection grid through above-mentioned judgement
Other quasi- serving cells include { B ... C }, with quasi- serving cell A exist with mould interference relationships other quasi- interfered cells include D,
E…T}.Then, implementation as one preferred, the embodiment of the present invention are calculated in detection grid (logp,latp) at it is first small
Area A is by the same mould probability of interference C that there is the second community B with mould interference relationships therewithS AB(logp,latp) method are as follows:
In detection grid (logp,latp) at cell A to the calculation method principle phase of the same mould probability of interference of other cells
Together, it no longer repeats one by one.
For the calculation method of probability of interference, it is described in detail as follows:
In specified longitude and latitude frequency sweep point (logp,latp), it is assumed that the serving cell is CELLi, Ci(logp,latp) and Ij
(logp,latp) be respectively sweep generator in the point to serving cell CELLiWith interfered cell CELLjReference signal transmission power electricity
Flat measured value RSRP, then the co-channel interference probability C of the frequency sweep pointS ij(logp,latp) algorithm is as follows:
Wherein:
FER (C/I) is C/I to probability of interference nonlinear mapping function, as shown in Fig. 2, FER (C/I) ∈ (0,1), FER
(C/I) closer to 1, show that the probability of interference of two minizones is bigger.
Preferably, it in the embodiment of the present invention, is implemented by the way of probability of interference matrix.Specifically,
Record has detection grid ID, latitude and longitude information, serving cell ID, interfered cell ID, each similar mould interference in probability of interference matrix
In the presence of mark and detection grid at serving cell to information such as the co-channel interference probability of interfered cell.Probability of interference matrix
A kind of specific implementation form can be form shown in table 1:
1 probability of interference matrix of table
Wherein, serving cell ID can be obtained by CellID=eNodeBID*256+SectorID.
S_PCI: serving cell PCI.
Interfered cell ID can be obtained by CellID=eNodeBID*256+SectorID.
I_PCI: interfered cell PCI.
In practical application, through determining, the PCI relationship of serving cell and interfered cell: for identical PCI, with mould 3/6/30/
50, SSS same m0, SSS are the same as one or more of m1 kind PCI relationship interference.According to judgement as a result, in the same mould of probability of interference matrix
It interferes at mark, does following mark and (exist and be denoted as 1, there is no be denoted as 0).
1: two adjacent cell is interfered with PCI, CoPCI=1, otherwise CoPCI=0；
2: two adjacent cell PCI are there are the interference of mould 3, MOD3=1, otherwise MOD3=0；
3: two adjacent cell PCI are there are the interference of mould 6, MOD6=1, otherwise MOD6=0；
4: two adjacent cell PCI are there are the interference of mould 30, MOD30=1, otherwise MOD30=0；
5: two adjacent cell PCI are there are the interference of mould 50, MOD50=1, otherwise MOD50=0；
There are SSS to interfere with m0 by 6: two adjacent cells (being not belonging to cell in same PCI group) PCI, SSSm0=1, otherwise
SSSm0=0；
There are SSS to interfere with m1 by 7: two adjacent cells (being not belonging to cell in same PCI group) PCI, SSSm1=1, otherwise
SSSm1=0.
The computation grid interference value interfered by different type with mould according to the different each grids of service coverage cell
Total amount carrys out quantificational description specified services cell with this and is disturbed degree in the grid.
Preferably, in the embodiment of the present invention, calculate first community A as at multiple detection grids of quasi- serving cell by the
The sum of same mould probability of interference of two cell B obtains same mould probability of interference C of the first community A by second community BS ABMethod are as follows:
Wherein, there is n detection grid small by second in the detection grid that first community A is covered as quasi- serving cell
Area B is interfered with mould, CA(logp,latp) it is cell A in detection grid (logp,latp) at average reference signal receive power,
IBFor cell B (logp,latp) in detection grid (logp,latp) at average reference signal receive power, logpTo detect grid
Lattice longitude；latpTo detect grid dimension values；MAB,nFor the Reference Signal Received Power for detecting second community B at grid at n
The number being detected.
Wherein, there is n detection grid small by second in the detection grid that first community A is covered as quasi- serving cell
Area B is interfered with mould.
Specifically, the detection grid { g, i ... j } that cell A is covered as quasi- serving cell.Wherein there is n (assuming that n=
5) exist with cell B with mould interference relationships in a detection grid, then in this n detection grid:
At first detection grid, the same mould probability of interference of cell A and cell B are C1, second is small at the detection grid
The number that the Reference Signal Received Power of area B is detected is 5, i.e. MAB,1It is 5；
At second detection grid, the same mould probability of interference of cell A and cell B are C2, second is small at the detection grid
The number that the Reference Signal Received Power of area B is detected is 3, i.e. MAB,2It is 3；
Third detects at grid, and the same mould probability of interference of cell A and cell B are C3, second is small at the detection grid
The number that the Reference Signal Received Power of area B is detected is 4, i.e. MAB,3It is 4；
At 4th detection grid, the same mould probability of interference of cell A and cell B are C4, second is small at the detection grid
The number that the Reference Signal Received Power of area B is detected is 6, i.e. MAB,4It is 6；
At 5th detection grid, the same mould probability of interference of cell A and cell B are C5, second is small at the detection grid
The number that the Reference Signal Received Power of area B is detected is 3, i.e. MAB,5It is 3；
Then cell A is by cell B by the same mould probability of interference total amount of second community are as follows:
The same mould probability of interference total amount of minizone is bigger, then illustrates that the interference of two minizones is more serious.The present invention
In embodiment, the same mould probability of interference of two minizones at detection grid can be accurately calculated, for being embodied in certain detection
Two minizones are with mould annoyance level at grid, so can accurate calculation go out two cells at all detection grids covered
Same mould probability of interference total amount, for embody two minizones with mould interfere overall degree.
Then, the calculating minizone the target area Nei Ge is with mould probability of interference according to cellular traffic weight, cell
Switch the sum of weight, cell adjacent area weight and weighting of interference type weight, obtains in target area with mould probability of interference total amount
Include:
F (P)=FCoCH(P)+FCoPCI(P)+Fmod(3)(P)+Fmod(6)(P)+Fmod(30)(P)+Fmod(50)(P)+Fm0(P)+Fm1
(P)
Wherein,
Wherein,
The TWiFor cell i telephone traffic weight, SWijIt is cell i to the switching weight of cell j, AWijIt is cell i to cell
The adjacent area weight of j；Cell in target area includes { cell 1, cell 2 ... cell i ... cell j ... cell L }；kxTo interfere class
Type weight, wherein kCoCHFor co-channel interference weight, kCoPCIWeight, k are interfered for same PCImod(3)Weight, k are interfered for mould 3mod(6)For
Mould 6 interferes weight, kmod(30)Weight, k are interfered for mould 30mod(50)Weight, k are interfered for mould 50m0Weight, k are interfered for same m0m1It is same
M1 interferes weight；c0For co-channel interference constant.
PCI in accurate quantification analysis and positioning LTE wireless network is same in LTE wireless network with mould interference problem
The optimization of mould interference provides scientific basis.Optimize to be provided the whole or local PCI of optimization with mould serious interference cell cluster by PCI
Scheme.
As it can be seen that the embodiment of the present invention provides a kind of side of physical-layer cell identifier PCI optimization in LTE long-term evolving network
Method proposes a kind of new pci signal frequency distribution analysis and optimisation technique, by using genetic algorithm to PCI allocation plan
It optimizing, relatively traditional optimal way, genetic algorithm used in the embodiment of the present invention is that evolutionary search calculates since trail,
Covering surface is big, and more conducively the overall situation preferentially, so that pci signal optimization analysis is more accurate rationally, is believed network so as to realize
Number more accurate, reasonable adjustment is carried out, fundamentally improves the overall performance of LTE wireless network.
Further, in the embodiment of the present invention, PCI allocation plan progress genetic computation is obtained using genetic algorithm next
During for candidate set, using first to the secondary synchronization signal SSS progress crossing operation of PCI each in current candidate group grouping and change
Xor, then crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping, so as to avoid PCI points
It distributes PSS identical situation in same station in matching, the more serious same mould disturbed condition such as mould 3, mould 6 can be substantially reduced,
So that the genetic effect of the embodiment of the present invention is more preferably faster, optimize more targeted.
Further, in the embodiment of the present invention, same mould probability of interference total amount is calculated using based on aggregative weighted algorithm,
It accurately calculates to obtain according to cellular traffic weight, cell switching weight, cell adjacent area weight and interference type weight etc. each
With mould probability of interference total amount in target area under PCI allocation plan, make it possible to the overall interference degree to each PCI allocation plan
Quantitative accurate analysis is realized, so that prioritization scheme is more rationally accurate.
Shown in Figure 3, the embodiment of the invention also provides the system that PCI in a kind of LTE long-term evolving network optimizes, institutes
The system of stating includes:
Random grouping module 301, for PCI allocation plan to be generated multiple candidate sets at random；
Genetic optimization module 302, genetic evolution direction is in the direction for being reduced using same mould probability of interference total amount, to described
Multiple candidate sets carry out genetic operation；Wherein, genetic operation is using genetic algorithm according to PCI assignment constraints condition to working as
Preceding candidate set carries out crossing operation and mutation operator, generates next generation PC I allocation plan candidate set；
Optimize determining module 303, for every during cycle, the same mould probability of interference for calculating current PC I allocation plan to be total
The reduced value of the same mould probability of interference total amount of relatively upper period PCI allocation plan is measured, if the reduced value is less than outage threshold,
The genetic operation is then terminated, using current PC I allocation plan as preferred PCI allocation plan, realizes the PCI optimization of LTE network.
Wherein, the PCI assignment constraints condition includes:
The cell for belonging to same PCI grouping in the co-sited cell of current PC I allocation plan, in next generation PC I allocation plan
It is middle to distribute identical secondary synchronization signal SSS.
Preferably, the genetic optimization module includes hereditary control unit and single genetic element:
The heredity control unit, genetic evolution direction is in the direction for being reduced using same mould probability of interference total amount, control
Single genetic element carries out genetic operation to the multiple candidate set.
The single genetic element, for being carried out using genetic algorithm to current candidate group according to PCI assignment constraints condition
Crossing operation and mutation operator generate next generation PC I allocation plan candidate set.
Wherein, the single genetic element includes:
Secondary synchronization signal heredity subelement, the auxiliary synchronization for being grouped using genetic algorithm to PCI each in current candidate group
Signal SSS carries out crossing operation and mutation operator, obtains SSS signal in next generation PC I allocation plan and distributes candidate set；Wherein,
The cell for belonging to same PCI grouping still falls within same PCI grouping before and after the crossing operation and mutation operator.
And primary synchronization signal heredity subelement, for using genetic algorithm to the primary synchronization signal in each PCI grouping
PSS carries out crossing operation and mutation operator, obtains PSS signal in next generation PC I allocation plan and distributes candidate set.
Preferably, the same mould probability of interference total amount is that the minizone target area Nei Ge is talked about with mould probability of interference according to cell
The sum of the weighting that business amount weight, cell switching weight, cell adjacent area weight and interference type weight computing obtain.
As a preferred embodiment, system described in the embodiment of the present invention further includes same mould probability of interference total amount computing module,
For calculating with mould probability of interference total amount.
Specifically, the same mould probability of interference total amount computing module includes:
Reference Signal Received Power acquiring unit, it is multiple with reference to letter for obtaining for grid is respectively detected in target area
Number receive power；
Cell type judging unit, for determining each detection grid pair according to the multiple Reference Signal Received Power
The quasi- serving cell answered and quasi- interfered cell；
With mould probability of interference computing unit, for judging that minizone with mould interference relationships, and calculates first community and detecting
By the same mould probability of interference of second community at grid；The first community is the serving cell surely at the detection grid；Institute
Stating second community is other quasi- serving cells in addition to first community or interfered cell surely；
Cell is with mould probability of interference computing unit, for calculating first community as quasi- for each cell in target area
By the sum of same mould probability of interference of second community at multiple detection grids of serving cell, first community is obtained by second community
With mould probability of interference；
With it is general with mould interference for calculating the minizone the target area Nei Ge with mould probability of interference total amount calculating unit
Rate obtains mesh according to the sum of cellular traffic weight, cell switching weight, cell adjacent area weight and weighting of interference type weight
It marks in region with mould probability of interference total amount.
Preferably, the cell type judging unit includes:
Average reference signal receives power calculation subelement, receives for calculating each cell reference signal at detection grid
The average value of power receives power as average reference signal of each cell at detection grid；
Cell type judgment sub-unit, for calculate each cell average reference signal at detection grid receive power with most
Big average reference signal receives the difference of power；Determine that the difference is less than the average reference signal reception power of first threshold
Serving cell subject to corresponding cell is determining determines that the difference is less than second threshold and is greater than being averaged for the first threshold
Interfered cell subject to cell corresponding to Reference Signal Received Power is determining.
The same mould probability of interference computing unit includes:
With mould interference relationships judgment sub-unit, at detection grid, for each quasi- serving cell, judgement to be serviced with quasi-
There are other quasi- serving cells of each similar mould interference relationships and quasi- interfered cells between cell；Each similar mould interference relationships
Including same physical-layer cell identifier PCI interference, PCI, there are the interference of 3 relationship of mould, PCI, there are the interference of 6 relationship of mould, PCI to exist
Interference and PCI of the interference, PCI of 30 relationship of mould there are the interference of 50 relationship of mould, PCI there are secondary synchronization signal SSS with m0 relationship
There are SSS with the interference of m1 relationship；
It is dry with mould to existing therewith at detection grid, calculating first community with mould probability of interference computation subunit
Disturb the same mould probability of interference of the second community of relationship；The first community is the serving cell surely at the detection grid；Institute
Stating second community is other quasi- serving cells in addition to first community or interfered cell surely.
Wherein, judge that existing each similar mould is dry between each quasi- serving cell and other quasi- serving cells and quasi- interfered cell
The relationship of disturbing includes:
Judge whether other quasi- serving cells and the PCI of quasi- interfered cell and the PCI of the quasi- serving cell are identical, if they are the same
It is then determining to exist with the quasi- serving cell with PCI interference relationships；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to PCI pairs of the results of 3 modulus and the quasi- serving cell
Whether the result of 3 modulus is identical, then determines that there are the interference of 3 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to PCI pairs of the results of 6 modulus and the quasi- serving cell
Whether the result of 6 modulus is identical, then determines that there are the interference of 6 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 30 modulus and the PCI of the quasi- serving cell
It is whether identical to the result of 30 modulus, then determine that there are the interference of 30 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 50 modulus and the PCI of the quasi- serving cell
It is whether identical to the result of 50 modulus, then determine that there are the interference of 50 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the m0 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell
Whether the m0 of PCI secondary synchronization signal SSS is identical, then determines that there are PCI secondary synchronization signal SSS is same with the quasi- serving cell if they are the same
The interference of m0 relationship；
Judge the m1 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell
Whether the m1 of PCI secondary synchronization signal SSS is identical, then determines that there are PCI secondary synchronization signal SSS is same with the quasi- serving cell if they are the same
The interference of m1 relationship.
Preferably, the same mould probability of interference computation subunit is calculated in detection grid (logp,latp) at it is first small
Area A is by the same mould probability of interference C that there is the second community B with mould interference relationships therewithS AB(logp,latp) formula are as follows:
The cell calculates multiple detection grids of the first community A as quasi- serving cell with mould probability of interference computing unit
Place is obtained same mould probability of interference C of the first community A by second community B by the sum of the same mould probability of interference of second community BS ABPublic affairs
Formula are as follows:
Wherein, there is n detection grid small by second in the detection grid that first community A is covered as quasi- serving cell
Area B is interfered with mould, CA(logp,latp) it is cell A in detection grid (logp,latp) at average reference signal receive power,
IBFor cell B (logp,latp) in detection grid (logp,latp) at average reference signal receive power, logpTo detect grid
Lattice longitude；latpTo detect grid dimension values；MAB,nFor the Reference Signal Received Power for detecting second community B at grid at n
The number being detected.
The same mould probability of interference total amount calculating unit calculates the formula with mould probability of interference total amount are as follows:
F (P)=FCoCH(P)+FCoPCI(P)+Fmod(3)(P)+Fmod(6)(P)+Fmod(30)(P)+Fmod(50)(P)+Fm0(P)+Fm1
(P)
Wherein,
Wherein,
The TWiFor cell i telephone traffic weight, SWijIt is cell i to the switching weight of cell j, AWijIt is cell i to cell
The adjacent area weight of j；Cell in target area includes { cell 1, cell 2 ... cell i ... cell j ... cell L }；kxTo interfere class
Type weight, wherein kCoCHFor co-channel interference weight, kCoPCIWeight, k are interfered for same PCImod(3)Weight, k are interfered for mould 3mod(6)For
Mould 6 interferes weight, kmod(30)Weight, k are interfered for mould 30mod(50)Weight, k are interfered for mould 50m0Weight, k are interfered for same m0m1It is same
M1 interferes weight；c0For co-channel interference constant.
It should be noted that can specifically be surveyed from LTE frequency sweep data, LTE drive test data and/or MR in the embodiment of the present invention
Multiple Reference Signal Received Power are obtained in amount data reporting.
It should be noted that the working principle of modules or submodule in present system embodiment and processed
Journey can be referring specifically to the associated description in embodiment of the method shown in above-mentioned Fig. 1-Fig. 2, and details are not described herein again.
As it can be seen that the embodiment of the present invention physical-layer cell identifier PCI optimization in a kind of LTE long-term evolving network is provided be
System proposes a kind of new pci signal frequency distribution analysis and optimisation technique, by using genetic algorithm to PCI allocation plan
It optimizing, relatively traditional optimal way, genetic algorithm used in the embodiment of the present invention is that evolutionary search calculates since trail,
Covering surface is big, and more conducively the overall situation preferentially, so that pci signal optimization analysis is more accurate rationally, is believed network so as to realize
Number more accurate, reasonable adjustment is carried out, fundamentally improves the overall performance of LTE wireless network.
Further, in the embodiment of the present invention, PCI allocation plan progress genetic computation is obtained using genetic algorithm next
During for candidate set, using first to the secondary synchronization signal SSS progress crossing operation of PCI each in current candidate group grouping and change
Xor, then crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping, so as to avoid PCI points
It distributes PSS identical situation in same station in matching, the more serious same mould disturbed condition such as mould 3, mould 6 can be substantially reduced,
So that the genetic effect of the embodiment of the present invention is more preferably faster, optimize more targeted.
Further, in the embodiment of the present invention, same mould probability of interference total amount is calculated using based on aggregative weighted algorithm,
It accurately calculates to obtain according to cellular traffic weight, cell switching weight, cell adjacent area weight and interference type weight etc. each
With mould probability of interference total amount in target area under PCI allocation plan, make it possible to the overall interference degree to each PCI allocation plan
Quantitative accurate analysis is realized, so that prioritization scheme is more rationally accurate.
For the ease of clearly describing the technical solution of the embodiment of the present invention, in the embodiment of invention, use " first ",
Printed words such as " second " distinguish function and the essentially identical identical entry of effect or similar item, and those skilled in the art can manage
The printed words such as solution " first ", " second " are not defined quantity and execution order.
It will appreciated by the skilled person that implement the method for the above embodiments be can be with
Relevant hardware is instructed to complete by program, the program can be stored in a computer readable storage medium,
The program when being executed, includes the following steps: (the step of method), the storage medium, such as: ROM/RAM, magnetic disk, CD
Deng.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (8)
1. a kind of method that PCI optimizes in LTE long-term evolving network, which is characterized in that the described method includes:
PCI allocation plan is generated into multiple candidate sets at random；
The direction reduced using same mould probability of interference total amount carries out genetic operation as genetic evolution direction, to the multiple candidate set；
Wherein, genetic operation be according to PCI assignment constraints condition using genetic algorithm to current candidate group carry out crossing operation and
Mutation operator generates next generation PC I allocation plan candidate set；
Every during cycle, the relatively upper period PCI allocation plan of same mould probability of interference total amount of current PC I allocation plan is calculated
Same mould probability of interference total amount reduced value, if the reduced value be less than outage threshold, terminate the genetic operation, will be current
PCI allocation plan realizes the PCI optimization of LTE network as preferred PCI allocation plan；
The PCI assignment constraints condition includes:
The cell for belonging to same PCI grouping in the co-sited cell of current PC I allocation plan, divides in next generation PC I allocation plan
With identical secondary synchronization signal SSS；
It is described that crossing operation and mutation operator are carried out to current candidate group using genetic algorithm according to PCI assignment constraints condition, it is raw
Include: at next generation PC I allocation plan candidate set
Crossing operation and mutation operator are carried out to the secondary synchronization signal SSS that PCI each in current candidate group is grouped using genetic algorithm,
It obtains SSS signal in next generation PC I allocation plan and distributes candidate set；Wherein, belong to the cell of same PCI grouping in the intersection
Same PCI grouping is still fallen within before and after operation and mutation operator；
Crossing operation and mutation operator are carried out to the primary synchronization signal PSS in each PCI grouping using genetic algorithm, obtain the next generation
PSS signal distributes candidate set in PCI allocation plan.
2. the method that PCI optimizes in LTE long-term evolving network according to claim 1, which is characterized in that the same mould is dry
Disturbing probability total amount is that the minizone target area Nei Ge with mould probability of interference switches weight, small according to cellular traffic weight, cell
The sum of the weighting that area adjacent area weight and interference type weight computing obtain；
Calculation method with mould probability of interference total amount includes:
For grid is respectively detected in target area, multiple Reference Signal Received Power are obtained；
Determine that the corresponding quasi- serving cell of each detection grid and quasi- interference are small according to the multiple Reference Signal Received Power
Area；
Judge minizone with mould interference relationships, and calculate same mould of the first community at detection grid by second community interfere it is general
Rate；The first community is the serving cell surely at the detection grid；The second community is one in addition to first community
Other quasi- serving cells or surely interfered cell；
For cell each in target area, calculate first community as at multiple detection grids of quasi- serving cell by second community
The sum of same mould probability of interference, obtain same mould probability of interference of the first community by second community；
The minizone the target area Nei Ge is calculated with mould probability of interference according to cellular traffic weight, cell switching weight, small
The sum of area adjacent area weight and the weighting of interference type weight obtain in target area with mould probability of interference total amount.
3. the method that PCI optimizes in LTE long-term evolving network according to claim 2, which is characterized in that described according to institute
State that multiple Reference Signal Received Power determine each corresponding quasi- serving cell of detection grid and quasi- interfered cell includes:
The average value for calculating each cell Reference Signal Received Power at detection grid is flat at detection grid as each cell
Equal Reference Signal Received Power；
It calculates each cell average reference signal at detection grid and receives power and maximum average reference signal reception power
Difference；Determine that the difference is small less than servicing subject to cell determination corresponding to the average reference signal of first threshold reception power
Area determines that the difference is less than second threshold and is greater than small corresponding to the average reference signal reception power of the first threshold
Interfered cell subject to area is determining；
The judgement minizone calculates same mould of the first community at detection grid by second community and interferes with mould interference relationships
Probability includes:
At detection grid, for each quasi- serving cell, there are each similar mould interference relationships between judgement and quasi- serving cell
Other quasi- serving cells and quasi- interfered cell；Each similar mould interference relationships include same physical-layer cell identifier PCI interference,
There are the interference of 6 relationship of mould, PCI, there are the interference of 30 relationship of mould, PCI, there are the passes of mould 50 there are the interference of 3 relationship of mould, PCI by PCI
There are SSS with the interference of m1 relationship for interference and PCI of the interference, PCI of system there are secondary synchronization signal SSS with m0 relationship；
At detection grid, first community is calculated to the same mould probability of interference that there is the second community with mould interference relationships therewith；
The first community is the serving cell surely at the detection grid；The second community is other for one in addition to first community
Quasi- serving cell or surely interfered cell；
It is described to judge that existing each similar mould interference is closed between each quasi- serving cell and other quasi- serving cells and quasi- interfered cell
System includes:
Judge whether other quasi- serving cells and the PCI of quasi- interfered cell and the PCI of the quasi- serving cell are identical, if they are the same then really
The fixed and quasi- serving cell exists with PCI interference relationships；
Judge that the PCI of other quasi- serving cells and quasi- interfered cell takes the result of 3 modulus and the PCI of the quasi- serving cell to 3
Whether the result of mould is identical, then determines that there are the interference of 3 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge that the PCI of other quasi- serving cells and quasi- interfered cell takes the result of 6 modulus and the PCI of the quasi- serving cell to 6
Whether the result of mould is identical, then determines that there are the interference of 6 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 30 modulus and the PCI of the quasi- serving cell to 30
Whether the result of modulus is identical, then determines that there are the interference of 30 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge the PCI of other quasi- serving cells and quasi- interfered cell to the result of 50 modulus and the PCI of the quasi- serving cell to 50
Whether the result of modulus is identical, then determines that there are the interference of 50 relationship of PCI mould with the quasi- serving cell if they are the same；
Judge that the PCI of the m0 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell are auxiliary
Whether the m0 of synchronization signal SSS is identical, and then determining if they are the same there are PCI secondary synchronization signal SSS with the pass m0 with the quasi- serving cell
The interference of system；
Judge that the PCI of the m1 and the quasi- serving cell of the PCI secondary synchronization signal SSS of other quasi- serving cells and quasi- interfered cell are auxiliary
Whether the m1 of synchronization signal SSS is identical, and then determining if they are the same there are PCI secondary synchronization signal SSS with the pass m1 with the quasi- serving cell
The interference of system.
4. the method that PCI optimizes in LTE long-term evolving network according to claim 3, which is characterized in that calculating is detecting
Grid (logp,latp) at first community A by therewith exist with mould interference relationships second community B same mould probability of interference CS AB
(logp,latp) method are as follows:
First community A is calculated as the sum of the same mould probability of interference at multiple detection grids of quasi- serving cell by second community B,
Obtain same mould probability of interference C of the first community A by second community BS ABMethod are as follows:
Wherein, there is n detection grid by second community B in the detection grid that first community A is covered as quasi- serving cell
It is interfered with mould, CA(logp,latp) it is cell A in detection grid (logp,latp) at average reference signal receive power, IBFor
Cell B (logp,latp) in detection grid (logp,latp) at average reference signal receive power, logpFor detection grid warp
Angle value；latpTo detect grid dimension values；MAB,nIt is detected to detect the Reference Signal Received Power of second community B at grid at n
The number measured；
The calculating minizone the target area Nei Ge is with mould probability of interference according to cellular traffic weight, cell switching power
The sum of value, cell adjacent area weight and weighting of interference type weight, obtain include: with mould probability of interference total amount in target area
F (P)=FCoCH(P)+FCoPCI(P)+Fmod(3)(P)+Fmod(6)(P)+Fmod(30)(P)+Fmod(50)(P)+Fm0(P)+Fm1(P)
Wherein,
Wherein,
The TWiFor cell i telephone traffic weight, SWijIt is cell i to the switching weight of cell j, AWijIt is cell i to cell j's
Adjacent area weight；Cell in target area includes { cell 1, cell 2 ... cell i ... cell j ... cell L }；kxFor interference type
Weight, wherein kCoCHFor co-channel interference weight, kCoPCIWeight, k are interfered for same PCImod(3)Weight, k are interfered for mould 3mod(6)For mould
6 interference weights, kmod(30)Weight, k are interfered for mould 30mod(50)Weight, k are interfered for mould 50m0Weight, k are interfered for same m0m1For same m1
Interfere weight；c0For co-channel interference constant；F (P) is indicated in target area with mould probability of interference total amount.
5. the method that PCI optimizes in LTE long-term evolving network according to claim 1, which is characterized in that specifically from LTE
Multiple Reference Signal Received Power are obtained in frequency sweep data, LTE drive test data and/or MR measurement report data.
6. the system that PCI optimizes in a kind of LTE long-term evolving network, which is characterized in that the system comprises:
Random grouping module, for PCI allocation plan to be generated multiple candidate sets at random；
Genetic optimization module, genetic evolution direction is in the direction for being reduced using same mould probability of interference total amount, to the multiple time
Choosing group carries out genetic operation；Wherein, a genetic operation is using genetic algorithm according to PCI assignment constraints condition to current candidate
Group carries out crossing operation and mutation operator, generates next generation PC I allocation plan candidate set；
Optimize determining module, for every during cycle, calculate the same mould probability of interference total amount of current PC I allocation plan relatively on
The reduced value of the same mould probability of interference total amount of one period PCI allocation plan terminates institute if the reduced value is less than outage threshold
Genetic operation is stated, using current PC I allocation plan as preferred PCI allocation plan, realizes the PCI optimization of LTE network；
The PCI assignment constraints condition includes:
The cell for belonging to same PCI grouping in the co-sited cell of current PC I allocation plan, divides in next generation PC I allocation plan
With identical secondary synchronization signal SSS；
The genetic optimization module includes hereditary control unit and single genetic element:
The heredity control unit, the direction for being reduced using same mould probability of interference total amount control single as genetic evolution direction
Genetic element carries out genetic operation to the multiple candidate set；
The single genetic element, for being intersected using genetic algorithm to current candidate group according to PCI assignment constraints condition
Operation and mutation operator generate next generation PC I allocation plan candidate set；
The single genetic element includes:
Secondary synchronization signal heredity subelement, the secondary synchronization signal for being grouped using genetic algorithm to PCI each in current candidate group
SSS carries out crossing operation and mutation operator, obtains SSS signal in next generation PC I allocation plan and distributes candidate set；Wherein, belong to
The cell of same PCI grouping still falls within same PCI grouping before and after the crossing operation and mutation operator；
Primary synchronization signal heredity subelement, for being intersected using genetic algorithm to the primary synchronization signal PSS in each PCI grouping
Operation and mutation operator obtain PSS signal in next generation PC I allocation plan and distribute candidate set.
7. the system that PCI optimizes in LTE long-term evolving network according to claim 6, which is characterized in that the same mould is dry
Disturbing probability total amount is that the minizone target area Nei Ge with mould probability of interference switches weight, small according to cellular traffic weight, cell
The sum of the weighting that area adjacent area weight and interference type weight computing obtain；
The system also includes same mould probability of interference total amount computing modules, for calculating with mould probability of interference total amount；
The same mould probability of interference total amount computing module includes:
Reference Signal Received Power acquiring unit, for obtaining multiple reference signals and connecing for grid is respectively detected in target area
Receive power；
Cell type judging unit, for determining that each detection grid is corresponding according to the multiple Reference Signal Received Power
Quasi- serving cell and quasi- interfered cell；
With mould probability of interference computing unit, for judging that minizone with mould interference relationships, and calculates first community in detection grid
Same mould probability of interference of the place by second community；The first community is the serving cell surely at the detection grid；Described
Two cells interfered cell for the other quasi- serving cells in addition to first community or surely；
Cell is with mould probability of interference computing unit, for calculating first community as quasi- service for each cell in target area
By the sum of same mould probability of interference of second community at multiple detection grids of cell, same mould of the first community by second community is obtained
Probability of interference；
With mould probability of interference total amount calculating unit, for calculating the minizone the target area Nei Ge with mould probability of interference according to small
The sum of area's telephone traffic weight, cell switching weight, cell adjacent area weight and weighting of interference type weight, obtain in target area
With mould probability of interference total amount.
8. the system that PCI optimizes in LTE long-term evolving network according to claim 7, which is characterized in that
The cell type judging unit includes:
Average reference signal receives power calculation subelement, for calculating each cell Reference Signal Received Power at detection grid
Average value, as each cell detection grid at average reference signal receive power；
Cell type judgment sub-unit, for calculate each cell average reference signal at detection grid receive power with it is maximum
The difference of average reference signal reception power；Determine that the difference is right less than the average reference signal of first threshold reception power institute
Serving cell subject to the cell answered is determining determines that the difference is less than second threshold and is greater than the average reference of the first threshold
Interfered cell subject to cell corresponding to signal reception power is determining；
The same mould probability of interference computing unit includes:
With mould interference relationships judgment sub-unit, for for each quasi- serving cell, judging and quasi- serving cell at detection grid
Between there are other quasi- serving cells of each similar mould interference relationships and quasi- interfered cells；Each similar mould interference relationships include
With physical-layer cell identifier PCI interference, there are the interference of 6 relationship of mould, PCI, there are moulds 30 there are the interference of 3 relationship of mould, PCI by PCI
Interference and PCI of the interference, PCI of relationship there are the interference of 50 relationship of mould, PCI there are secondary synchronization signal SSS with m0 relationship exist
Interference of the SSS with m1 relationship；
It with mould probability of interference computation subunit, is used at detection grid, calculates first community to therewith in the presence of with mould interference pass
The same mould probability of interference of the second community of system；The first community is the serving cell surely at the detection grid；Described
Two cells interfered cell for the other quasi- serving cells in addition to first community or surely；
The same mould probability of interference computation subunit is calculated in detection grid (logp,latp) at first community A it is same by existing therewith
The same mould probability of interference C of the second community B of mould interference relationshipsS AB(logp,latp) formula are as follows:
The cell with mould probability of interference computing unit calculate first community A as at multiple detection grids of quasi- serving cell by
The sum of same mould probability of interference of second community B obtains same mould probability of interference C of the first community A by second community BS ABFormula
Are as follows:
Wherein, there is n detection grid by second community B in the detection grid that first community A is covered as quasi- serving cell
It is interfered with mould, CA(logp,latp) it is cell A in detection grid (logp,latp) at average reference signal receive power, IBFor
Cell B (logp,latp) in detection grid (logp,latp) at average reference signal receive power, logpFor detection grid warp
Angle value；latpTo detect grid dimension values；MAB,nIt is detected to detect the Reference Signal Received Power of second community B at grid at n
The number measured；
The same mould probability of interference total amount calculating unit calculates the formula with mould probability of interference total amount are as follows:
F (P)=FCoCH(P)+FCoPCI(P)+Fmod(3)(P)+Fmod(6)(P)+Fmod(30)(P)+Fmod(50)(P)+Fm0(P)+Fm1(P)
Wherein,
Wherein,
The TWiFor cell i telephone traffic weight, SWijIt is cell i to the switching weight of cell j, AWijIt is cell i to cell j's
Adjacent area weight；Cell in target area includes { cell 1, cell 2 ... cell i ... cell j ... cell L }；kxFor interference type
Weight, wherein kCoCHFor co-channel interference weight, kCoPCIWeight, k are interfered for same PCImod(3)Weight, k are interfered for mould 3mod(6)For mould
6 interference weights, kmod(30)Weight, k are interfered for mould 30mod(50)Weight, k are interfered for mould 50m0Weight, k are interfered for same m0m1For same m1
Interfere weight；c0For co-channel interference constant；F (P) is indicated in target area with mould probability of interference total amount.
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| CN107182062A (en) * | 2016-03-11 | 2017-09-19 | 中国移动通信集团广东有限公司 | Physical area optimization method and device in LTE network |
| CN105764069B (en) * | 2016-04-11 | 2019-05-03 | 长讯通信服务有限公司 | A kind of LTE network PCI planning Multipurpose Optimal Method |
| CN108632845A (en) * | 2017-03-16 | 2018-10-09 | 中兴通讯股份有限公司 | A kind of the optimization decision method and device of PCI confusion |
| CN109561436B (en) * | 2017-09-26 | 2021-04-30 | 中国移动通信集团公司 | Physical layer cell identity (PCI) optimization method, equipment, computer readable storage medium and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102595417A (en) * | 2012-02-22 | 2012-07-18 | 电信科学技术研究院 | Planning method and system for community resources |
| CN102740300A (en) * | 2012-06-29 | 2012-10-17 | 中兴通讯股份有限公司 | Automatic distribution method and device of physical-layer cell identities (PCIs) |
| CN103716801A (en) * | 2013-12-05 | 2014-04-09 | 广东省电信规划设计院有限公司 | Physical cell identification (PCI) allocation method and system |
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| CN102740300A (en) * | 2012-06-29 | 2012-10-17 | 中兴通讯股份有限公司 | Automatic distribution method and device of physical-layer cell identities (PCIs) |
| CN103716801A (en) * | 2013-12-05 | 2014-04-09 | 广东省电信规划设计院有限公司 | Physical cell identification (PCI) allocation method and system |
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