CN105208580A - A physical layer cell identification PCI optimization method in LTE network and system - Google Patents

Abstract

The invention discloses a PCI optimization method in an LTE long-term evolution network and a system and relates to the mobile communication technology field. In an embodiment of the invention, a genetic algorithm is used to optimize a PCI distribution scheme; relative to a traditional optimization mode, in the genetic algorithm, evolution search calculating is performed from a string set; a coverage area is large, which is good for global prioritizing; PCI signal optimization analysis is accurate and reasonable; accurate and reasonable planning and adjustment can be performed on a wireless network signal and integral performance of an LTE wireless network is radically improved and increased. Crossover operation and mutation operation are firstly performed on an auxiliary synchronization signal SSS of each PCI group in a current candidate group. And then the crossover operation and the mutation operation are performed on a main synchronization signal PSS in each PCI group so that a condition that a same PSS is distributed in a same station during PCI distribution can be avoided and a severe same-mode interference condition of a model 3, a model 6 and the like can be greatly reduced.

Description

Physical-layer cell identifier PCI optimization method and system in LTE network

Technical field

The present invention relates to mobile communication technology field, the method and system that particularly in a kind of LTE long-term evolving network, physical-layer cell identifier PCI optimizes.

Background technology

Under LTE (LongTermEvolution, Long Term Evolution) network, base station density is larger than the base station density of 2G, 3G network, and station spacing is little; There is MPS process planning, the PCI planning problems such as isotype interference that cause such as unreasonable are obvious, affect wireless network performance.

Along with the Large scale construction of LTE network, the isotype interference analysis of scientific and efficient LTE wireless network and optimization are key one rings of the construction quality ensureing LTE wireless network.

Therefore, signal disturbing Optimization analyses technology new under LTE network and method must be explored, qualitative and the accurate quantitative analyses of more deep science is carried out to the interference of LTE wireless network and optimization problem, and then obtain optimal solution more accurately, fundamentally improve the overall performance of LTE wireless network.

Summary of the invention

In view of the above problems, the embodiment of the present invention provides in a kind of LTE long-term evolving network based on the signal optimizing method of area interference total amount and system, propose a kind of new pci signal quantitative accurate Optimization analyses technology, thus can realize carrying out more accurately, reasonably adjusting to network signal, fundamentally improve the overall performance of LTE wireless network.

The embodiment of the present invention have employed following technical scheme:

One embodiment of the invention provides a kind of method that in LTE long-term evolving network, PCI optimizes, and described method comprises:

By the multiple candidate set of PCI allocative decision stochastic generation;

Genetic operation, for genetic evolution direction, is carried out to described multiple candidate set in the direction reduced with isotype probability of interference total amount; Wherein, a genetic operation, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Every during cycle, the isotype probability of interference total amount calculating current PC I allocative decision goes up the reduced value of the isotype probability of interference total amount of a cycle PCI allocative decision relatively, if described reduced value is less than outage threshold, then stop described genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

Described PCI assignment constraints condition comprises:

Belong to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS;

Describedly adopt genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generate next generation PC I allocative decision candidate set and comprise:

Adopt the auxiliary synchronous signals SSS of genetic algorithm to PCI grouping each in current candidate group to carry out crossing operation and mutation operator, obtain SSS signal in next generation PC I allocative decision and distribute candidate set; Wherein, the community belonging to same PCI grouping still belongs to same PCI and divides into groups before and after described crossing operation and mutation operator;

Adopt genetic algorithm to carry out crossing operation and mutation operator to the master sync signal PSS in each PCI grouping, obtain PSS signal in next generation PC I allocative decision and distribute candidate set.

Described isotype probability of interference total amount is the weighting sum that the isotype probability of interference in Nei Ge minizone, target area obtains according to cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weight computing;

The computational methods of isotype probability of interference total amount comprise:

Respectively detect grid in target area, obtain multiple Reference Signal Received Power;

The accurate Serving cell that each described detection grid is corresponding and accurate interfered cell is determined according to described multiple Reference Signal Received Power;

Judge the isotype interference relationships in minizone, and calculate the isotype probability of interference of the first community at detection grid place by the second community; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

For Nei Ge community, target area, calculate the multiple detection grid places of the first community as accurate Serving cell by the isotype probability of interference sum of the second community, obtain the isotype probability of interference of the first community by the second community;

Calculate the isotype probability of interference in Nei Ge minizone, described target area according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtain isotype probability of interference total amount in target area.

Describedly determine that the accurate Serving cell that each described detection grid is corresponding and accurate interfered cell comprise according to described multiple Reference Signal Received Power:

Calculate each community at the mean value detecting grid place Reference Signal Received Power, as each community in the average reference signal received power detecting grid place;

Calculate in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power; Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, determine that described difference is less than Second Threshold and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power being greater than described first threshold;

The isotype interference relationships in described judgement minizone, and calculate the first community detecting grid place and comprise by the isotype probability of interference of the second community:

At detection grid place, for each accurate Serving cell, judge to there is other accurate Serving cell of all kinds of isotype interference relationships and accurate interfered cell between accurate Serving cell; There is the interference of mould 50 relation in the interference that described all kinds of isotype interference relationships comprises same physical-layer cell identifier PCI disturbs, PCI exists the interference of mould 3 relation, PCI exists mould 6 relation interference, PCI exists mould 30 relation, PCI, PCI exists the interference of auxiliary synchronous signals SSS with m0 relation, and PCI exists the interference of SSS with m1 relation;

At detection grid place, calculate the first community to the isotype probability of interference of the second community that there is with it isotype interference relationships; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

All kinds of isotype interference relationships existed between each accurate Serving cell of described judgement and other accurate Serving cell and accurate interfered cell comprises:

Judge that whether the PCI of other accurate Serving cell and accurate interfered cell is identical with the PCI of this accurate Serving cell, if identical, determine that accurate Serving cell exists with PCI interference relationships with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 3 deliverys and this be identical to the result of 3 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 3 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 6 deliverys and this be identical to the result of 6 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 6 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 30 deliverys and this be identical to the result of 30 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 30 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 50 deliverys and this be identical to the result of 50 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 50 relation with this;

Judge that whether the m0 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m0 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m0 relation with this;

Judge that whether the m1 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m1 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m1 relation with this.

Calculate at detection grid (log _p, lat _p) place first community A is by the isotype probability of interference C of the second community B that to there is with it isotype interference relationships ^s _aB(log _p, lat _p) method be:

${C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)=\frac{1}{1+e^{-0.357+0.248\×[C_A({\log }_p,{\mathrm{lat}}_p)/I_B({\log }_p,{\mathrm{lat}}_p)]}}$

Calculate the multiple detection grid places of the first community A as accurate Serving cell by the isotype probability of interference sum of the second community B, obtain the isotype probability of interference C of the first community A by the second community B ^s _aBmethod be:

${C^S}_{\mathrm{AB}}=\frac{\underset{n}{\mathrm{\Σ}}{C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)\×M_{\mathrm{AB},n}}{\underset{n}{\mathrm{\Σ}}{M}_{\mathrm{AB},n}}$

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B, C _a(log _p, lat _p) for community A is at detection grid (log _p, lat _p) the average reference signal received power at place, I _bfor community B (log _p, lat _p) at detection grid (log _p, lat _p) the average reference signal received power at place, log _pfor detecting grid longitude; lat _pfor detecting grid dimension values; M _{aB, n}for the number of times that the Reference Signal Received Power detecting grid place second community B at n is detected;

The isotype probability of interference in Nei Ge minizone, described calculating described target area, according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtains isotype probability of interference total amount in target area and comprises:

F(P)＝F _CoCH(P)+F _CoPCI(P)+F _mod(3)(P)+F _mod(6)(P)+F _mod(30)(P)+F _mod(50)(P)+F _m0(P)+F _m1(P)

Wherein, $F_{\mathrm{CoCH}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoCH}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoCH}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{CoPCI}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoPCI}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoPCI}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(3\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(3\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(3\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(6\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(6\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(6\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(30\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(30\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(30\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(50\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(50\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(50\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m0}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m0}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m0}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m1}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m1}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m1}\×{C^S}_{\mathrm{ij}}+c_0)]$

Wherein,

Described TW _ifor cell i telephone traffic weights, SW _ijfor cell i is to the switching weights of community j, AW _ijfor cell i is to the adjacent area weights of community j; Community in target area comprises { community 1, community 2 ... cell i ... community j ... community L}; k _xfor interference type weights, wherein, k _coCHfor co-channel interference weights, k _coPCIfor same PCI disturbs weights, k _{mod (3)}for mould 3 disturbs weights, k _{mod (6)}for mould 6 disturbs weights, k _{mod (30)}for mould 30 disturbs weights, k _{mod (50)}for mould 50 disturbs weights, k _m0for same m0 disturbs weights, k _m1for same m1 disturbs weights; c ₀for co-channel interference constant.

Specifically from LTE frequency sweep data, LTE drive test data and/or MR measurement report data, obtain multiple Reference Signal Received Power.

In addition, the embodiment of the present invention additionally provides the system that in a kind of LTE long-term evolving network, PCI optimizes, and described system comprises:

Random packet module, for by the multiple candidate set of PCI allocative decision stochastic generation;

Genetic optimization module, for the direction that reduces with isotype probability of interference total amount for genetic evolution direction, carries out genetic operation to described multiple candidate set; Wherein, a genetic operation, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Optimize determination module, for every during cycle, the isotype probability of interference total amount calculating current PC I allocative decision goes up the reduced value of the isotype probability of interference total amount of a cycle PCI allocative decision relatively, if described reduced value is less than outage threshold, then stop described genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

Described PCI assignment constraints condition comprises:

Belong to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS;

Described genetic optimization module comprises hereditary control unit and single genetic element:

Described hereditary control unit, for the direction that reduces with isotype probability of interference total amount for genetic evolution direction, controls single genetic element and carries out genetic operation to described multiple candidate set;

Described single genetic element, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Described single genetic element comprises:

Auxiliary synchronous signals heredity subelement, for adopting the auxiliary synchronous signals SSS of genetic algorithm to PCI grouping each in current candidate group to carry out crossing operation and mutation operator, obtaining SSS signal in next generation PC I allocative decision and distributing candidate set; Wherein, the community belonging to same PCI grouping still belongs to same PCI and divides into groups before and after described crossing operation and mutation operator;

Master sync signal heredity subelement, for adopting genetic algorithm to carry out crossing operation and mutation operator to the master sync signal PSS in each PCI grouping, obtaining PSS signal in next generation PC I allocative decision and distributing candidate set.

Described isotype probability of interference total amount is the weighting sum that the isotype probability of interference in Nei Ge minizone, target area obtains according to cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weight computing;

Described system also comprises isotype probability of interference calculation of total module, for calculating isotype probability of interference total amount;

Described isotype probability of interference calculation of total module comprises:

Reference Signal Received Power acquiring unit, for respectively detecting grid in target area, obtains multiple Reference Signal Received Power;

Cell type judging unit, for determining the accurate Serving cell that each described detection grid is corresponding and accurate interfered cell according to described multiple Reference Signal Received Power;

Isotype probability of interference computing unit, for judging the isotype interference relationships in minizone, and calculates the isotype probability of interference of the first community at detection grid place by the second community; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

Community is isotype probability of interference computing unit, for for Nei Ge community, target area, calculates the multiple detection grid places of the first community as accurate Serving cell by the isotype probability of interference sum of the second community, obtains the isotype probability of interference of the first community by the second community;

Isotype probability of interference total amount calculating unit, for calculating the isotype probability of interference in Nei Ge minizone, described target area according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtain isotype probability of interference total amount in target area.

Described cell type judging unit comprises:

Average reference signal received power computation subunit, for calculating each community at the mean value detecting grid place Reference Signal Received Power, as each community in the average reference signal received power detecting grid place;

Cell type judgment sub-unit, for calculating in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power; Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, determine that described difference is less than Second Threshold and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power being greater than described first threshold;

Described isotype probability of interference computing unit comprises:

Isotype interference relationships judgment sub-unit, at detection grid place, for each accurate Serving cell, judges to there is other accurate Serving cell of all kinds of isotype interference relationships and accurate interfered cell between accurate Serving cell; There is the interference of mould 50 relation in the interference that described all kinds of isotype interference relationships comprises same physical-layer cell identifier PCI disturbs, PCI exists the interference of mould 3 relation, PCI exists mould 6 relation interference, PCI exists mould 30 relation, PCI, PCI exists the interference of auxiliary synchronous signals SSS with m0 relation, and PCI exists the interference of SSS with m1 relation;

Isotype probability of interference computation subunit, at detection grid place, calculates the first community to the isotype probability of interference of the second community that there is with it isotype interference relationships; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

Described isotype probability of interference computation subunit calculates at detection grid (log _p, lat _p) place first community A is by the isotype probability of interference C of the second community B that to there is with it isotype interference relationships ^s _aB(log _p, lat _p) formula be:

${C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)=\frac{1}{1+e^{-0.357+0.248\×[C_A({\log }_p,{\mathrm{lat}}_p)/I_B({\log }_p,{\mathrm{lat}}_p)]}}$

Described community is isotype, and probability of interference computing unit calculates the multiple detection grid places of the first community A as accurate Serving cell by the isotype probability of interference sum of the second community B, obtains the isotype probability of interference C of the first community A by the second community B ^s _aBformula be:

${C^S}_{\mathrm{AB}}=\frac{\underset{n}{\mathrm{\Σ}}{C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)\×M_{\mathrm{AB},n}}{\underset{n}{\mathrm{\Σ}}{M}_{\mathrm{AB},n}}$

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B, C _a(log _p, lat _p) for community A is at detection grid (log _p, lat _p) the average reference signal received power at place, I _bfor community B (log _p, lat _p) at detection grid (log _p, lat _p) the average reference signal received power at place, log _pfor detecting grid longitude; lat _pfor detecting grid dimension values; M _{aB, n}for the number of times that the Reference Signal Received Power detecting grid place second community B at n is detected;

The formula that described isotype probability of interference total amount calculating unit calculates isotype probability of interference total amount is:

F(P)＝F _CoCH(P)+F _CoPCI(P)+F _mod(3)(P)+F _mod(6)(P)+F _mod(30)(P)+F _mod(50)(P)+F _m0(P)+F _m1(P)

Wherein, $F_{\mathrm{CoCH}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoCH}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoCH}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{CoPCI}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoPCI}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoPCI}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(3\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(3\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(3\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(6\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(6\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(6\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(30\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(30\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(30\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(50\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(50\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(50\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m0}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m0}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m0}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m1}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m1}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m1}\×{C^S}_{\mathrm{ij}}+c_0)]$

Wherein,

Described TW _ifor cell i telephone traffic weights, SW _ijfor cell i is to the switching weights of community j, AW _ijfor cell i is to the adjacent area weights of community j; Community in target area comprises { community 1, community 2 ... cell i ... community j ... community L}; k _xfor interference type weights, wherein, k _coCHfor co-channel interference weights, k _coPCIfor same PCI disturbs weights, k _{mod (3)}for mould 3 disturbs weights, k _{mod (6)}for mould 6 disturbs weights, k _{mod (30)}for mould 30 disturbs weights, k _{mod (50)}for mould 50 disturbs weights, k _m0for same m0 disturbs weights, k _m1for same m1 disturbs weights; c ₀for co-channel interference constant.

Visible, the embodiment of the present invention provides the method and system that in a kind of LTE long-term evolving network, physical-layer cell identifier PCI optimizes, propose a kind of new pci signal parallel compensate optimum technology, by adopting genetic algorithm, PCI allocative decision is optimized, relatively traditional optimal way, the genetic algorithm that the embodiment of the present invention adopts is that evolutionary search calculates from trail, wide coverage, be more conducive to the overall situation preferentially, make pci signal Optimization analyses more precisely rationally, thus can realize carrying out network signal more accurate, rational adjustment, fundamentally improve the overall performance of LTE wireless network.

Further, in the embodiment of the present invention, utilizing genetic algorithm to carry out genetic computation to PCI allocative decision obtains in the process of candidate set of future generation, adopt and first crossing operation and mutation operator are carried out to the auxiliary synchronous signals SSS of PCI grouping each in current candidate group, again crossing operation and mutation operator are carried out to the master sync signal PSS in each PCI grouping, thus PCI distributes the identical situation of PSS in same station in can be avoided to distribute, namely mould 3 can greatly be reduced, the isotype disturbed condition that mould 6 grade is comparatively serious, make the genetic effect of the embodiment of the present invention better faster, optimize more targeted.

Further, in the embodiment of the present invention, adopt and calculate isotype probability of interference total amount based on aggregative weighted algorithm, namely isotype probability of interference total amount in target area is obtained under each PCI allocative decision according to accurate Calculation such as cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, make it possible to realize quantitative accurate analysis to the overall interference degree of each PCI allocative decision, and then make prioritization scheme more rationally accurately.

Accompanying drawing explanation

PCI optimization method flow chart in a kind of LTE long-term evolving network that Fig. 1 provides for the embodiment of the present invention;

The C/I that Fig. 2 provides for the embodiment of the present invention is to the mapping function schematic diagram of probability of interference;

PCI optimization system structured flowchart in a kind of LTE long-term evolving network that Fig. 3 provides for the embodiment of the present invention.

Embodiment

For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.

See Fig. 1, the embodiment of the present invention provides a kind of method that in LTE long-term evolving network, PCI optimizes, and comprises the steps:

S101: by the multiple candidate set of PCI allocative decision stochastic generation.

Here, candidate set also can be called candidate set population, for implementing genetic evolution computing to candidate set population, obtains preferred scheme.

It should be noted that, define 504 independently physical-layer cell identifier PCI in LTE system altogether, these PCI are divided into 168 groups, the sets of numbers that often group is corresponding different respectively (span is 0 ~ 167).Again containing 3 unique identification codes in each group (span is 0 ~ 2, ID in groups corresponding different respectively).So exist corresponding relation.

TD-LTE system adopts the mechanism such as interference randomization, interference elimination, interference coordination effectively to control co-channel interference.In LTE system, a lot of physical channel/signal is as PSS/SSS, PCFICH etc., and frequency domain position is all relevant with PCI at that time, and therefore the reasonability of PCI planning is very important.If PCI planning is bad, more serious neighboring interval interference can be caused, thus reduce cell throughout, increase propagation delay time etc.

From physical layer, the physical-layer cell identifier of PCI (physical-layerCellidentity) identifying cells, is made up of master sync signal (PSS) and auxiliary synchronous signals (SSS), can be obtained by simple operation.Formula is as follows: PCI=PSS+3*SSS, wherein PSS value is 0...2 (being 3 kinds of different PSS sequences in fact), SSS value is 0...167 (being 168 kinds of different SSS sequences in fact), the scope utilizing above-mentioned formula can obtain PCI is from 0...503, therefore there are 504 PCI in physical layer.

In fact, PCI can being interpreted as scrambler, just as downlink scrambling code is in a wcdma system for distinguishing sector, carrying out scrambling to sent data, so that terminal can distinguish different sector.

Isotype interference described here, SameModeILTErference, refers in TLE communication system, because the wireless network signal between the neighbor cell that the isotype conflict of PCI causes disturbs mutually.

Specifically have employed genetic algorithm in the embodiment of the present invention, the main feature of genetic algorithm (GeneticAlgorithm) directly operates structure objects, there is not the successional restriction of differentiate sum functions; There is inherent Implicit Parallelism and better global optimizing ability; Adopt the optimization method of randomization, the search volume that energy automatic acquisition and guidance are optimized, adjust the direction of search adaptively, do not need the rule determined.

S102: genetic operation, for genetic evolution direction, is carried out to described multiple candidate set in the direction reduced with isotype probability of interference total amount; Wherein, a genetic operation, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set.

It should be noted that, as preferably, first crossing operation can be carried out to candidate set, random or according to certain regular combined crosswise by multiple candidate set, again mutation operator is carried out to candidate set, namely according to according to PCI assignment constraints condition, random variation is carried out to the apportioning cost in candidate set.But in practical application, also can crossing operation mutation operator on one side, also can first mutation operator, then carry out crossing operation, etc.

In LTE system, be used to determine the frequency domain position of the signals such as PSS, RS and PCFICH in community due to PCI.Wherein, described PCI assignment constraints condition comprises:

Belong to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS.

That is, in current PC I allocative decision, the cell allocation belonging to same PCI grouping in co-sited community has identical auxiliary synchronous signals SSS, and when genetic operation, retrain the above-mentioned community belonging to same PCI grouping and still distribute identical auxiliary synchronous signals SSS in next generation PC I allocative decision, illustrate, in current PC I allocative decision, the cell allocation auxiliary synchronous signals SSS belonging to same PCI grouping in co-sited community is H, if the auxiliary synchronous signals SSS that the community then belonging to same PCI grouping in current PC I allocative decision in co-sited community is distributed in next generation PC I allocative decision is also identical, all such as T.In practical application, the SSS numbering that the community belonging to same PCI grouping before and after genetic operation is specifically distributed can change, and namely H can equal T, also can be not equal to T.

Originally the newly assigned secondary synchronization sequences SSS (PCIGroupID:0 ~ 167) belonging to all communities of same PCIGroup in co-sited community also must be identical.Can support multiple PCIGroup below same eNodeBID, the evaluation algorithm whether belonging to same PCIGroup is as follows:

Wherein represent and lower floor operation is carried out to X.

In practical application, in order to improve the effect of optimization further, PCI assignment constraints condition can also comprise following content:

(1) identical PCI is avoided to distribute to adjacent area;

(2) the identical PCI of mould 3 is avoided to distribute to adjacent area, with the identical access synchronous interference brought of the PSS sequence of evading neighbor cell and synchronization delayed time;

(3) avoid the identical PCI of mould 6 to distribute to adjacent area, come between cell reference signals with the time-frequency domain position identical generation of evading neighbor cell reference signal CRS and disturb;

(4) the identical PCI of mould 30 is avoided to distribute to adjacent area, with the identical uplink detection signal interference brought of SRS with the DMRS frequency domain position evading neighbor cell;

(5) the identical PCI of mould 50 is avoided to distribute to adjacent area, with the identical minizone PCFICH signal disturbing brought of the PCFICH frequency domain position evading neighbor cell.

(6) the identical m0/m1 of SSS signal is avoided to distribute to adjacent area, to evade the SSS signal synchronous interference and synchronization delayed time that the identical phase shift of SSS brings.

Etc..

As preferably, describedly adopt genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generate next generation PC I allocative decision candidate set and comprise:

First, adopt the auxiliary synchronous signals SSS of genetic algorithm to PCI grouping each in current candidate group to carry out crossing operation and mutation operator, obtain SSS signal in next generation PC I allocative decision and distribute candidate set; Wherein, the community belonging to same PCI grouping still belongs to same PCI and divides into groups before and after described crossing operation and mutation operator.

It should be noted that, the community belonging to same PCI grouping has identical SSS, that is, belongs to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, after crossing operation and mutation operator, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS.In practical application, the SSS numbering that the community belonging to same PCI grouping before and after crossing operation with mutation operator is specifically distributed can be identical, also can not be identical.

Secondly, adopt genetic algorithm to carry out crossing operation and mutation operator to the master sync signal PSS in each PCI grouping, obtain PSS signal in next generation PC I allocative decision and distribute candidate set.

That is, genetic algorithm, in PCI assigning process, is first carried out SSS (0 ~ 167) for LTE wireless network Zhong Tongzu community and is distributed; And then the PSS (0 ~ 2) carrying out Zu Nei community distributes.Carry out the calculating of total interference just when F (P) on this basis.The PCI allocative decision that search F (P) is minimum.

Total interference is just when the isotype probability of interference total amount of F (P) i.e..

S103: every during cycle, the isotype probability of interference total amount calculating current PC I allocative decision goes up the reduced value of the isotype probability of interference total amount of a cycle PCI allocative decision relatively, if described reduced value is less than outage threshold, then stop described genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

Such as, every 300 seconds, calculate once isotype probability of interference total amount, if the degree that the isotype probability of interference total amount of the current PC I allocative decision obtained through heredity reduces than the isotype probability of interference total amount of the PCI allocative decision before 300s is enough little, such as be less than 0.1, then illustrate continue again heredity go down the result that obtains also can not be good more too many than present, namely not continued the meaning of genetic operation, has been the scheme of comparative optimization substantially at present.Now, stop genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

As preferably, described isotype probability of interference total amount is the weighting sum that the isotype probability of interference in Nei Ge minizone, target area obtains according to cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weight computing.Namely in the embodiment of the present invention, adopt and calculate isotype probability of interference total amount based on aggregative weighted algorithm, namely isotype probability of interference total amount in target area is obtained under each PCI allocative decision according to accurate Calculation such as cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, make it possible to realize quantitative accurate analysis to the overall interference degree of each PCI allocative decision, and then make prioritization scheme more rationally accurately.

It should be noted that, above-mentioned target area can be regional area, also can be whole network, namely the embodiment of the present invention can be carried out local PCI for the region of the cell cluster of serious interference and serious interference and optimized and revised, also can be optimized adjustment for whole network area, such as new network is optimized.

As preferably, the computational methods of isotype probability of interference total amount comprise:

Respectively detect grid in target area, obtain multiple Reference Signal Received Power;

The accurate Serving cell that each described detection grid is corresponding and accurate interfered cell is determined according to described multiple Reference Signal Received Power;

Judge the isotype interference relationships in minizone, and calculate the isotype probability of interference of the first community at detection grid place by the second community; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

For Nei Ge community, target area, calculate the multiple detection grid places of the first community as accurate Serving cell by the isotype probability of interference sum of the second community, obtain the isotype probability of interference of the first community by the second community;

Calculate the isotype probability of interference in Nei Ge minizone, described target area according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtain isotype probability of interference total amount in target area.

In LTE (LongTermEvolution, Long Term Evolution) network, have employed the Data Detection such as frequency sweep, drive test mode, detect grid for each, multiple Reference Signal Received Power can be obtained.In practical application, Reference Signal Received Power can be obtained from multiple channel.Preferably, specifically multiple Reference Signal Received Power can be obtained from LTE frequency sweep data, LTE drive test data and/or MR (MeasurementReport, measurement report) data.

LTE drive test is that the service feature of wireless network provides abundant analysis indexes, LTE frequency sweep has then carried out fully measuring accurately to the wireless performance of network comprehensively, and the integrated analysis of drive test frequency sweep is most important for the precision of analysis and efficiency promoting network.

It should be noted that, certain is detected for grid, around it, has several community, detected in data by drive test or frequency sweep etc., the Reference Signal Received Power of the plurality of community at this detection grid place can be got.For multiple sense cycle, multiple Reference Signal Received Power may have been detected at this detection grid place in certain community, and generally, preferred a kind of scheme is, need multiple Reference Signal Received Power calculating mean values of this community, to improve the accurately fixed of data operation further.

As preferably, this step also comprises carries out pretreated step to obtaining multiple Reference Signal Received Power in LTE frequency sweep data, LTE drive test data and/or MR (MeasurementReport, measurement report) data, can be specifically:

(1) give up hash: for the incomplete data of frequency sweep data, give up the data lacking longitude and latitude, PCI simultaneously;

(2) low-level data is given up: because the sensitivity of sweep generator is higher, can receive for the signal lower than-120dBm, and these data are not resolved concerning mobile phone, data do not have effect to analysis, therefore remove in the process imported;

(3) frequency sweep point is corresponded to community: be first determine community according to the frequency in frequency sweep data and PCI.If be not unique according to the community that frequency and PCI are determined, so by after the distance of calculation of longitude & latitude frequency sweep Dian Dao community using the Serving cell of nearest community as this frequency sweep point;

(4) the RSRP level average of the same community of identical longitude and latitude is got.Etc..

Further, describedly determine that the accurate Serving cell that each described detection grid is corresponding and accurate interfered cell comprise according to described multiple Reference Signal Received Power:

Calculate each community at the mean value detecting grid place Reference Signal Received Power, as each community in the average reference signal received power detecting grid place;

Calculate in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power; Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, determine that described difference is less than Second Threshold and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power being greater than described first threshold.

That is, grid place is detected at certain in certain community may detect multiple Reference Signal Received Power, first, calculate multiple Reference Signal Received Power that this detection grid place detects according to community calculating mean value, even detect grid place at certain, there are 4 communities around, are respectively A community, B community, C community, D community.Multiple Reference Signal Received Power of A, B, C, D community detected altogether, first, calculate this detection grid place, for the mean value of multiple Reference Signal Received Power of A community, obtain A community at the average reference signal received power P detecting grid place _a; For the mean value of multiple Reference Signal Received Power of B community, obtain B community at the average reference signal received power P detecting grid place _b; For the mean value of multiple Reference Signal Received Power of C community, obtain C community at the average reference signal received power P detecting grid place _c; For the mean value of multiple Reference Signal Received Power of D community, obtain D community at the average reference signal received power P detecting grid place _d.

In above-mentioned four average reference signal received powers, maximum is designated as P _max.

Then calculate in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power, be specially, calculate P respectively _max-P _a, P _max-P _b, P _max-P _c, P _max-P _d.Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, that is, the Serving cell that is as the criterion is determined in community corresponding to the average reference signal received power of above-mentioned difference in first threshold (such as 6db), described accurate Serving cell, refer at this detection grid place, the community of Serving cell may be become.Above-mentioned difference is less than Second Threshold (such as 12db) and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power be greater than in first threshold (such as 6db), described accurate interfered cell, refer at this detection grid place, the community of interfered cell may be become.And the community that maximum Reference Signal Received Power exceedes Second Threshold (such as 12db) is less than for Reference Signal Received Power, it has been generally acknowledged that the interference of this detection grid enough little, do not form interference signal, can ignore.

Concrete, the isotype interference relationships in described judgement minizone, and calculate the first community detecting the isotype probability of interference of grid place by the second community and comprise:

At detection grid place, for each accurate Serving cell, judge to there is other accurate Serving cell of all kinds of isotype interference relationships and accurate interfered cell between accurate Serving cell; There is the interference of mould 50 relation in the interference that described all kinds of isotype interference relationships comprises same physical-layer cell identifier PCI disturbs, PCI exists the interference of mould 3 relation, PCI exists mould 6 relation interference, PCI exists mould 30 relation, PCI, PCI exists the interference of auxiliary synchronous signals SSS with m0 relation, and PCI exists the interference of SSS with m1 relation;

At detection grid place, calculate the first community to the isotype probability of interference of the second community that there is with it isotype interference relationships; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely.

Preferably, all kinds of isotype interference relationships existed between each accurate Serving cell of described judgement and other accurate Serving cell and accurate interfered cell comprises:

Judge that whether the PCI of other accurate Serving cell and accurate interfered cell is identical with the PCI of this accurate Serving cell, if identical, determine that accurate Serving cell exists with PCI interference relationships with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 3 deliverys and this be identical to the result of 3 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 3 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 6 deliverys and this be identical to the result of 6 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 6 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 30 deliverys and this be identical to the result of 30 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 30 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 50 deliverys and this be identical to the result of 50 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 50 relation with this;

Judge that whether the m0 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m0 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m0 relation with this;

Judge that whether the m1 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m1 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m1 relation with this.

Continue to use above-mentioned example: through above-mentioned judgement, at detection grid place, other the accurate Serving cell that there is isotype interference relationships with accurate Serving cell A comprises { B ... C}, other the accurate interfered cell that there is isotype interference relationships with accurate Serving cell A comprises { D, E ... T}.Then, as the preferred implementation of one, the embodiment of the present invention calculates at detection grid (log _p, lat _p) place first community A is by the isotype probability of interference C of the second community B that to there is with it isotype interference relationships ^s _aB(log _p, lat _p) method be:

${C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)=\frac{1}{1+e^{-0.357+0.248\×[C_A({\log }_p,{\mathrm{lat}}_p)/I_B({\log }_p,{\mathrm{lat}}_p)]}}$

At detection grid (log _p, lat _p) the computational methods principle of community, place A to the isotype probability of interference of other community be identical, repeat no longer one by one.

For the computational methods of probability of interference, be described in detail as follows:

At appointment longitude and latitude frequency sweep point (log _p, lat _p), assuming that this Serving cell is CELL _i, C _i(log _p, lat _p) and I _j(log _p, lat _p) be respectively sweep generator at this point to Serving cell CELL _iwith interfered cell CELL _jthe measured value RSRP of reference signal transmitted power level, then the co-channel interference probability C of this frequency sweep point ^s _ij(log _p, lat _p) algorithm is as follows:

$\begin{array}{c}{C^S}_{\mathrm{ij}}({\log }_p,{\mathrm{lat}}_p)=\mathrm{FER}[C_i({\log }_p,{\mathrm{lat}}_p)/I_j({\log }_p,{\mathrm{lat}}_p)]\\ =\frac{1}{1+e^{-0.357+0.248\×[C_i({\log }_p,{\mathrm{lat}}_p)/I_j({\log }_p,{\mathrm{lat}}_p)]}}\end{array}$

Wherein:

$\mathrm{FER}(C/I)=\frac{1}{1+e^{-0.357+0.248\×C/I}}$

FER (C/I) is for C/I is to probability of interference nonlinear mapping function, and as shown in Figure 2, FER (C/I) ∈ (0,1), FER (C/I), more close to 1, show that the probability of interference of two minizones is larger.

Preferably, in the embodiment of the present invention, adopt the mode specific implementation of probability of interference matrix.Concrete, record in probability of interference matrix and detect grid ID, latitude and longitude information, Serving cell ID, interfered cell ID, all kinds of isotype interference existence mark and detecting Serving cell, grid place to information such as the co-channel interference probability of interfered cell.A kind of specific implementation form of probability of interference matrix can be form shown in table 1:

Table 1 probability of interference matrix

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 judging, the PCI relation of Serving cell and interfered cell: be identical PCI, one or more during isotype 3/6/30/50, SSS same m0, SSS disturbs with m1 kind PCI relation.According to result of determination, at probability of interference matrix isotype interference mark place, do following mark (existence is designated as 1, does not exist and is designated as 0).

1: two adjacent cell is disturbed with PCI, CoPCI=1, otherwise CoPCI=0;

2: two adjacent cell PCI exist mould 3 to be disturbed, MOD3=1, otherwise MOD3=0;

3: two adjacent cell PCI exist mould 6 to be disturbed, MOD6=1, otherwise MOD6=0;

4: two adjacent cell PCI exist mould 30 to be disturbed, MOD30=1, otherwise MOD30=0;

5: two adjacent cell PCI exist mould 50 to be disturbed, MOD50=1, otherwise MOD50=0;

6: two adjacent cells (not belonging to same PCI Zu Nei community) there is SSS and disturb with m0, SSSm0=1 in PCI, otherwise SSSm0=0;

7: two adjacent cells (not belonging to same PCI Zu Nei community) there is SSS and disturb with m1, SSSm1=1 in PCI, otherwise SSSm1=0.

Be subject to the computation grid interference value total amount of dissimilar isotype interference according to each grid in different service coverage communities, come quantificational description specified services community with this and be disturbed degree at this grid.

Preferably, in the embodiment of the present invention, calculate the multiple detection grid places of the first community A as accurate Serving cell by the isotype probability of interference sum of the second community B, obtain the isotype probability of interference C of the first community A by the second community B ^s _aBmethod be:

${C^S}_{\mathrm{AB}}=\frac{\underset{n}{\mathrm{\Σ}}{C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)\×M_{\mathrm{AB},n}}{\underset{n}{\mathrm{\Σ}}{M}_{\mathrm{AB},n}}$

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B, C _a(log _p, lat _p) for community A is at detection grid (log _p, lat _p) the average reference signal received power at place, I _bfor community B (log _p, lat _p) at detection grid (log _p, lat _p) the average reference signal received power at place, log _pfor detecting grid longitude; lat _pfor detecting grid dimension values; M _{aB, n}for the number of times that the Reference Signal Received Power detecting grid place second community B at n is detected.

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B.

Specifically, detection grid { g, i of covering as accurate Serving cell of community A ... j}.Wherein there is n (supposing n=5) individual detection grid Zhong Yu community B to there is isotype interference relationships, then detect in grid for this n:

First is detected grid place, and the isotype probability of interference of community A and community B is C ₁, the number of times be detected at the Reference Signal Received Power of this detection grid place second community B is 5, i.e. M _{aB, 1}be 5;

Second is detected grid place, and the isotype probability of interference of community A and community B is C ₂, the number of times be detected at the Reference Signal Received Power of this detection grid place second community B is 3, i.e. M _{aB, 2}be 3;

3rd is detected grid place, and the isotype probability of interference of community A and community B is C ₃, the number of times be detected at the Reference Signal Received Power of this detection grid place second community B is 4, i.e. M _{aB, 3}be 4;

4th is detected grid place, and the isotype probability of interference of community A and community B is C ₄, the number of times be detected at the Reference Signal Received Power of this detection grid place second community B is 6, i.e. M _{aB, 4}be 6;

5th is detected grid place, and the isotype probability of interference of community A and community B is C ₅, the number of times be detected at the Reference Signal Received Power of this detection grid place second community B is 3, i.e. M _{aB, 5}be 3;

Then community A by community B by the isotype probability of interference total amount of the second community is:

${C^S}_{\mathrm{AB}}=\frac{C_1\×5+C_2\×3+C_3\×4+C_4\×6+C_5\×3}{5+3+4+6+3}$

The isotype probability of interference total amount of minizone is larger, then illustrate these two minizones interference more serious.In the embodiment of the present invention, the isotype probability of interference detecting two minizones, grid place can be calculated accurately, the isotype annoyance level in minizone, grid place two is detected for being embodied in certain, and then can the isotype probability of interference total amount of accurate calculation Chu Liangge community at all detection grid places covered, for embodying two isotype interference overall degree in minizone.

Then, the isotype probability of interference in Nei Ge minizone, described calculating described target area, according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtains isotype probability of interference total amount in target area and comprises:

F(P)＝F _CoCH(P)+F _CoPCI(P)+F _mod(3)(P)+F _mod(6)(P)+F _mod(30)(P)+F _mod(50)(P)+F _m0(P)+F _m1(P)

Wherein, $F_{\mathrm{CoCH}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoCH}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoCH}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{CoPCI}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoPCI}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoPCI}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(3\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(3\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(3\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(6\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(6\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(6\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(30\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(30\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(30\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(50\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(50\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(50\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m0}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m0}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m0}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m1}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m1}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m1}\×{C^S}_{\mathrm{ij}}+c_0)]$

Wherein,

Described TW _ifor cell i telephone traffic weights, SW _ijfor cell i is to the switching weights of community j, AW _ijfor cell i is to the adjacent area weights of community j; Community in target area comprises { community 1, community 2 ... cell i ... community j ... community L}; k _xfor interference type weights, wherein, k _coCHfor co-channel interference weights, k _coPCIfor same PCI disturbs weights, k _{mod (3)}for mould 3 disturbs weights, k _{mod (6)}for mould 6 disturbs weights, k _{mod (30)}for mould 30 disturbs weights, k _{mod (50)}for mould 50 disturbs weights, k _m0for same m0 disturbs weights, k _m1for same m1 disturbs weights; c ₀for co-channel interference constant.

Accurate quantification is analyzed and is located the isotype interference problem of PCI in LTE wireless network, for the optimization of the isotype interference in LTE wireless network provides scientific basis.PCI prioritization scheme that is overall or local is optimized for providing by the isotype serious interference cell cluster of PCI.

Visible, the embodiment of the present invention provides a kind of method that in LTE long-term evolving network, physical-layer cell identifier PCI optimizes, propose a kind of new pci signal parallel compensate optimum technology, by adopting genetic algorithm, PCI allocative decision is optimized, relatively traditional optimal way, the genetic algorithm that the embodiment of the present invention adopts is that evolutionary search calculates from trail, wide coverage, be more conducive to the overall situation preferentially, make pci signal Optimization analyses more precisely rationally, thus can realize carrying out network signal more accurate, rational adjustment, fundamentally improve the overall performance of LTE wireless network.

Further, in the embodiment of the present invention, utilizing genetic algorithm to carry out genetic computation to PCI allocative decision obtains in the process of candidate set of future generation, adopt and first crossing operation and mutation operator are carried out to the auxiliary synchronous signals SSS of PCI grouping each in current candidate group, again crossing operation and mutation operator are carried out to the master sync signal PSS in each PCI grouping, thus PCI distributes the identical situation of PSS in same station in can be avoided to distribute, namely mould 3 can greatly be reduced, the isotype disturbed condition that mould 6 grade is comparatively serious, make the genetic effect of the embodiment of the present invention better faster, optimize more targeted.

Further, in the embodiment of the present invention, adopt and calculate isotype probability of interference total amount based on aggregative weighted algorithm, namely isotype probability of interference total amount in target area is obtained under each PCI allocative decision according to accurate Calculation such as cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, make it possible to realize quantitative accurate analysis to the overall interference degree of each PCI allocative decision, and then make prioritization scheme more rationally accurately.

Shown in Figure 3, the embodiment of the present invention additionally provides the system that in a kind of LTE long-term evolving network, PCI optimizes, and described system comprises:

Random packet module 301, for by the multiple candidate set of PCI allocative decision stochastic generation;

Genetic optimization module 302, for the direction that reduces with isotype probability of interference total amount for genetic evolution direction, carries out genetic operation to described multiple candidate set; Wherein, a genetic operation, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Optimize determination module 303, for every during cycle, the isotype probability of interference total amount calculating current PC I allocative decision goes up the reduced value of the isotype probability of interference total amount of a cycle PCI allocative decision relatively, if described reduced value is less than outage threshold, then stop described genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

Wherein, described PCI assignment constraints condition comprises:

Belong to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS.

Preferably, described genetic optimization module comprises hereditary control unit and single genetic element:

Described hereditary control unit, for the direction that reduces with isotype probability of interference total amount for genetic evolution direction, controls single genetic element and carries out genetic operation to described multiple candidate set.

Described single genetic element, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set.

Wherein, described single genetic element comprises:

Auxiliary synchronous signals heredity subelement, for adopting the auxiliary synchronous signals SSS of genetic algorithm to PCI grouping each in current candidate group to carry out crossing operation and mutation operator, obtaining SSS signal in next generation PC I allocative decision and distributing candidate set; Wherein, the community belonging to same PCI grouping still belongs to same PCI and divides into groups before and after described crossing operation and mutation operator.

And master sync signal heredity subelement, for adopting genetic algorithm to carry out crossing operation and mutation operator to the master sync signal PSS in each PCI grouping, obtaining PSS signal in next generation PC I allocative decision and distributing candidate set.

Preferably, described isotype probability of interference total amount is the weighting sum that the isotype probability of interference in Nei Ge minizone, target area obtains according to cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weight computing.

As preferred embodiment, system described in the embodiment of the present invention also comprises isotype probability of interference calculation of total module, for calculating isotype probability of interference total amount.

Concrete, described isotype probability of interference calculation of total module comprises:

Reference Signal Received Power acquiring unit, for respectively detecting grid in target area, obtains multiple Reference Signal Received Power;

Cell type judging unit, for determining the accurate Serving cell that each described detection grid is corresponding and accurate interfered cell according to described multiple Reference Signal Received Power;

Isotype probability of interference computing unit, for judging the isotype interference relationships in minizone, and calculates the isotype probability of interference of the first community at detection grid place by the second community; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

Community is isotype probability of interference computing unit, for for Nei Ge community, target area, calculates the multiple detection grid places of the first community as accurate Serving cell by the isotype probability of interference sum of the second community, obtains the isotype probability of interference of the first community by the second community;

With, isotype probability of interference total amount calculating unit, for calculating the isotype probability of interference in Nei Ge minizone, described target area according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtain isotype probability of interference total amount in target area.

Preferably, described cell type judging unit comprises:

Average reference signal received power computation subunit, for calculating each community at the mean value detecting grid place Reference Signal Received Power, as each community in the average reference signal received power detecting grid place;

Cell type judgment sub-unit, for calculating in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power; Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, determine that described difference is less than Second Threshold and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power being greater than described first threshold.

Described isotype probability of interference computing unit comprises:

Isotype interference relationships judgment sub-unit, at detection grid place, for each accurate Serving cell, judges to there is other accurate Serving cell of all kinds of isotype interference relationships and accurate interfered cell between accurate Serving cell; There is the interference of mould 50 relation in the interference that described all kinds of isotype interference relationships comprises same physical-layer cell identifier PCI disturbs, PCI exists the interference of mould 3 relation, PCI exists mould 6 relation interference, PCI exists mould 30 relation, PCI, PCI exists the interference of auxiliary synchronous signals SSS with m0 relation, and PCI exists the interference of SSS with m1 relation;

Isotype probability of interference computation subunit, at detection grid place, calculates the first community to the isotype probability of interference of the second community that there is with it isotype interference relationships; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely.

Wherein, judge that all kinds of isotype interference relationships existed between each accurate Serving cell and other accurate Serving cell and accurate interfered cell comprises:

Judge that whether the PCI of other accurate Serving cell and accurate interfered cell is identical with the PCI of this accurate Serving cell, if identical, determine that accurate Serving cell exists with PCI interference relationships with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 3 deliverys and this be identical to the result of 3 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 3 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 6 deliverys and this be identical to the result of 6 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 6 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 30 deliverys and this be identical to the result of 30 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 30 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 50 deliverys and this be identical to the result of 50 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 50 relation with this;

Judge that whether the m0 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m0 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m0 relation with this;

Judge that whether the m1 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m1 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m1 relation with this.

As preferably, described isotype probability of interference computation subunit calculates at detection grid (log _p, lat _p) place first community A is by the isotype probability of interference C of the second community B that to there is with it isotype interference relationships ^s _aB(log _p, lat _p) formula be:

${C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)=\frac{1}{1+e^{-0.357+0.248\×[C_A({\log }_p,{\mathrm{lat}}_p)/I_B({\log }_p,{\mathrm{lat}}_p)]}}$

Described community is isotype, and probability of interference computing unit calculates the multiple detection grid places of the first community A as accurate Serving cell by the isotype probability of interference sum of the second community B, obtains the isotype probability of interference C of the first community A by the second community B ^s _aBformula be:

${C^S}_{\mathrm{AB}}=\frac{\underset{n}{\mathrm{\Σ}}{C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)\×M_{\mathrm{AB},n}}{\underset{n}{\mathrm{\Σ}}{M}_{\mathrm{AB},n}}$

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B, C _a(log _p, lat _p) for community A is at detection grid (log _p, lat _p) the average reference signal received power at place, I _bfor community B (log _p, lat _p) at detection grid (log _p, lat _p) the average reference signal received power at place, log _pfor detecting grid longitude; lat _pfor detecting grid dimension values; M _{aB, n}for the number of times that the Reference Signal Received Power detecting grid place second community B at n is detected.

The formula that described isotype probability of interference total amount calculating unit calculates isotype probability of interference total amount is:

F(P)＝F _CoCH(P)+F _CoPCI(P)+F _mod(3)(P)+F _mod(6)(P)+F _mod(30)(P)+F _mod(50)(P)+F _m0(P)+F _m1(P)

Wherein, $F_{\mathrm{CoCH}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoCH}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoCH}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{CoPCI}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoPCI}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoPCI}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(3\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(3\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(3\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(6\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(6\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(6\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(30\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(30\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(30\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(50\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(50\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(50\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m0}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m0}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m0}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m1}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m1}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m1}\×{C^S}_{\mathrm{ij}}+c_0)]$

Wherein,

Described TW _ifor cell i telephone traffic weights, SW _ijfor cell i is to the switching weights of community j, AW _ijfor cell i is to the adjacent area weights of community j; Community in target area comprises { community 1, community 2 ... cell i ... community j ... community L}; k _xfor interference type weights, wherein, k _coCHfor co-channel interference weights, k _coPCIfor same PCI disturbs weights, k _{mod (3)}for mould 3 disturbs weights, k _{mod (6)}for mould 6 disturbs weights, k _{mod (30)}for mould 30 disturbs weights, k _{mod (50)}for mould 50 disturbs weights, k _m0for same m0 disturbs weights, k _m1for same m1 disturbs weights; c ₀for co-channel interference constant.

It should be noted that, in the embodiment of the present invention, specifically can obtain multiple Reference Signal Received Power from LTE frequency sweep data, LTE drive test data and/or MR measurement report data.

It should be noted that, the modules in present system embodiment or the operation principle of submodule and processing procedure specifically see the associated description in embodiment of the method shown in above-mentioned Fig. 1-Fig. 2, can repeat no more herein.

Visible, the embodiment of the present invention provides the system that in a kind of LTE long-term evolving network, physical-layer cell identifier PCI optimizes, propose a kind of new pci signal parallel compensate optimum technology, by adopting genetic algorithm, PCI allocative decision is optimized, relatively traditional optimal way, the genetic algorithm that the embodiment of the present invention adopts is that evolutionary search calculates from trail, wide coverage, be more conducive to the overall situation preferentially, make pci signal Optimization analyses more precisely rationally, thus can realize carrying out network signal more accurate, rational adjustment, fundamentally improve the overall performance of LTE wireless network.

Further, in the embodiment of the present invention, utilizing genetic algorithm to carry out genetic computation to PCI allocative decision obtains in the process of candidate set of future generation, adopt and first crossing operation and mutation operator are carried out to the auxiliary synchronous signals SSS of PCI grouping each in current candidate group, again crossing operation and mutation operator are carried out to the master sync signal PSS in each PCI grouping, thus PCI distributes the identical situation of PSS in same station in can be avoided to distribute, namely mould 3 can greatly be reduced, the isotype disturbed condition that mould 6 grade is comparatively serious, make the genetic effect of the embodiment of the present invention better faster, optimize more targeted.

Further, in the embodiment of the present invention, adopt and calculate isotype probability of interference total amount based on aggregative weighted algorithm, namely isotype probability of interference total amount in target area is obtained under each PCI allocative decision according to accurate Calculation such as cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, make it possible to realize quantitative accurate analysis to the overall interference degree of each PCI allocative decision, and then make prioritization scheme more rationally accurately.

For the ease of the technical scheme of the clear description embodiment of the present invention, in inventive embodiment, have employed the printed words such as " first ", " second " to distinguish the substantially identical identical entry of function and efficacy or similar item, it will be appreciated by those skilled in the art that the printed words such as " first ", " second " do not limit quantity and execution order.

One of ordinary skill in the art will appreciate that, the all or part of step realized in above-described embodiment method is that the hardware that can carry out instruction relevant by program has come, described program can be stored in a computer read/write memory medium, this program is when performing, comprise the steps: (step of method), described storage medium, as: ROM/RAM, magnetic disc, CD etc.

The foregoing is only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.All any amendments done within the spirit and principles in the present invention, equivalent replacement, improvement etc., be all included in protection scope of the present invention.

Claims (10)

1. the method that in LTE long-term evolving network, PCI optimizes, it is characterized in that, described method comprises:

By the multiple candidate set of PCI allocative decision stochastic generation;

Genetic operation, for genetic evolution direction, is carried out to described multiple candidate set in the direction reduced with isotype probability of interference total amount; Wherein, a genetic operation, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Every during cycle, the isotype probability of interference total amount calculating current PC I allocative decision goes up the reduced value of the isotype probability of interference total amount of a cycle PCI allocative decision relatively, if described reduced value is less than outage threshold, then stop described genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

2. the method that in LTE long-term evolving network according to claim 1, PCI optimizes, it is characterized in that, described PCI assignment constraints condition comprises:

Belong to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS;

Describedly adopt genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generate next generation PC I allocative decision candidate set and comprise:

Adopt the auxiliary synchronous signals SSS of genetic algorithm to PCI grouping each in current candidate group to carry out crossing operation and mutation operator, obtain SSS signal in next generation PC I allocative decision and distribute candidate set; Wherein, the community belonging to same PCI grouping still belongs to same PCI and divides into groups before and after described crossing operation and mutation operator;

Adopt genetic algorithm to carry out crossing operation and mutation operator to the master sync signal PSS in each PCI grouping, obtain PSS signal in next generation PC I allocative decision and distribute candidate set.

3. the method that in LTE long-term evolving network according to claim 1, PCI optimizes, it is characterized in that, described isotype probability of interference total amount is the weighting sum that the isotype probability of interference in Nei Ge minizone, target area obtains according to cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weight computing;

The computational methods of isotype probability of interference total amount comprise:

Respectively detect grid in target area, obtain multiple Reference Signal Received Power;

The accurate Serving cell that each described detection grid is corresponding and accurate interfered cell is determined according to described multiple Reference Signal Received Power;

Judge the isotype interference relationships in minizone, and calculate the isotype probability of interference of the first community at detection grid place by the second community; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

For Nei Ge community, target area, calculate the multiple detection grid places of the first community as accurate Serving cell by the isotype probability of interference sum of the second community, obtain the isotype probability of interference of the first community by the second community;

Calculate the isotype probability of interference in Nei Ge minizone, described target area according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtain isotype probability of interference total amount in target area.

4. the method that in LTE long-term evolving network according to claim 3, PCI optimizes, is characterized in that, describedly determines that the accurate Serving cell that each described detection grid is corresponding and accurate interfered cell comprise according to described multiple Reference Signal Received Power:

Calculate each community at the mean value detecting grid place Reference Signal Received Power, as each community in the average reference signal received power detecting grid place;

Calculate in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power; Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, determine that described difference is less than Second Threshold and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power being greater than described first threshold;

The isotype interference relationships in described judgement minizone, and calculate the first community detecting grid place and comprise by the isotype probability of interference of the second community:

At detection grid place, for each accurate Serving cell, judge to there is other accurate Serving cell of all kinds of isotype interference relationships and accurate interfered cell between accurate Serving cell; There is the interference of mould 50 relation in the interference that described all kinds of isotype interference relationships comprises same physical-layer cell identifier PCI disturbs, PCI exists the interference of mould 3 relation, PCI exists mould 6 relation interference, PCI exists mould 30 relation, PCI, PCI exists the interference of auxiliary synchronous signals SSS with m0 relation, and PCI exists the interference of SSS with m1 relation;

At detection grid place, calculate the first community to the isotype probability of interference of the second community that there is with it isotype interference relationships; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

All kinds of isotype interference relationships existed between each accurate Serving cell of described judgement and other accurate Serving cell and accurate interfered cell comprises:

Judge that whether the PCI of other accurate Serving cell and accurate interfered cell is identical with the PCI of this accurate Serving cell, if identical, determine that accurate Serving cell exists with PCI interference relationships with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 3 deliverys and this be identical to the result of 3 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 3 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 6 deliverys and this be identical to the result of 6 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 6 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 30 deliverys and this be identical to the result of 30 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 30 relation with this;

Judge that whether the PCI of the PCI of other accurate Serving cell and accurate interfered cell to the accurate Serving cell of the result of 50 deliverys and this be identical to the result of 50 deliverys, if identical, determine that accurate Serving cell exists the interference of PCI mould 50 relation with this;

Judge that whether the m0 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m0 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m0 relation with this;

Judge that whether the m1 of the PCI auxiliary synchronous signals SSS of other accurate Serving cell and accurate interfered cell is identical with the m1 of the PCI auxiliary synchronous signals SSS of this accurate Serving cell, if identical, determine that accurate Serving cell exists the interference of PCI auxiliary synchronous signals SSS with m1 relation with this.

5. the method that in LTE long-term evolving network according to claim 4, PCI optimizes, is characterized in that, calculates at detection grid (log _p, lat _p) place first community A is by the isotype probability of interference C of the second community B that to there is with it isotype interference relationships ^s _aB(log _p, lat _p) method be:

${C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)=\frac{1}{1+e^{-0.357+0.248\×[C_A({\log }_p,{\mathrm{lat}}_p)/I_B({\log }_p,{\mathrm{lat}}_p)]}}$

Calculate the multiple detection grid places of the first community A as accurate Serving cell by the isotype probability of interference sum of the second community B, obtain the isotype probability of interference C of the first community A by the second community B ^s _aBmethod be:

${C^S}_{\mathrm{AB}}=\frac{\underset{n}{\mathrm{\Σ}}{C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)\×M_{\mathrm{AB},n}}{\underset{n}{\mathrm{\Σ}}{M}_{\mathrm{AB},n}}$

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B, C _a(log _p, lat _p) for community A is at detection grid (log _p, lat _p) the average reference signal received power at place, I _bfor community B (log _p, lat _p) at detection grid (log _p, lat _p) the average reference signal received power at place, log _pfor detecting grid longitude; lat _pfor detecting grid dimension values; M _{aB, n}for the number of times that the Reference Signal Received Power detecting grid place second community B at n is detected;

The isotype probability of interference in Nei Ge minizone, described calculating described target area, according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtains isotype probability of interference total amount in target area and comprises:

F(P)＝F _CoCH(P)+F _CoPCI(P)+F _mod(3)(P)+F _mod(6)(P)+F _mod(30)(P)+F _mod(50)(P)+F _m0(P)+F _m1(P)

Wherein, $F_{\mathrm{CoCH}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoCH}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoCH}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{CoPCI}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoPCI}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoPCI}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(3\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(3\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(3\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(6\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(6\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(6\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(30\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(30\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(30\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(50\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(50\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(50\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m0}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m0}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m0}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m1}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m1}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m1}\×{C^S}_{\mathrm{ij}}+c_0)]$

Wherein,

Described TW _ifor cell i telephone traffic weights, SW _ijfor cell i is to the switching weights of community j, AW _ijfor cell i is to the adjacent area weights of community j; Community in target area comprises { community 1, community 2 ... cell i ... community j ... community L}; k _xfor interference type weights, wherein, k _coCHfor co-channel interference weights, k _coPCIfor same PCI disturbs weights, k _{mod (3)}for mould 3 disturbs weights, k _{mod (6)}for mould 6 disturbs weights, k _{mod (30)}for mould 30 disturbs weights, k _{mod (50)}for mould 50 disturbs weights, k _m0for same m0 disturbs weights, k _m1for same m1 disturbs weights; c ₀for co-channel interference constant.

6. in LTE long-term evolving network according to claim 1 based on aggregative weighted algorithm realization pci signal optimization method, it is characterized in that, specifically from LTE frequency sweep data, LTE drive test data and/or MR measurement report data, obtain multiple Reference Signal Received Power.

7. the system that in LTE long-term evolving network, PCI optimizes, it is characterized in that, described system comprises:

Random packet module, for by the multiple candidate set of PCI allocative decision stochastic generation;

Genetic optimization module, for the direction that reduces with isotype probability of interference total amount for genetic evolution direction, carries out genetic operation to described multiple candidate set; Wherein, a genetic operation, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Optimize determination module, for every during cycle, the isotype probability of interference total amount calculating current PC I allocative decision goes up the reduced value of the isotype probability of interference total amount of a cycle PCI allocative decision relatively, if described reduced value is less than outage threshold, then stop described genetic operation, using current PC I allocative decision as preferred PCI allocative decision, the PCI realizing LTE network optimizes.

8. the system that in LTE long-term evolving network according to claim 7, PCI optimizes, it is characterized in that, described PCI assignment constraints condition comprises:

Belong to the community that same PCI divides into groups in the co-sited community of current PC I allocative decision, in next generation PC I allocative decision, distribute identical auxiliary synchronous signals SSS;

Described genetic optimization module comprises hereditary control unit and single genetic element:

Described hereditary control unit, for the direction that reduces with isotype probability of interference total amount for genetic evolution direction, controls single genetic element and carries out genetic operation to described multiple candidate set;

Described single genetic element, for adopting genetic algorithm to carry out crossing operation and mutation operator to current candidate group according to PCI assignment constraints condition, generates next generation PC I allocative decision candidate set;

Described single genetic element comprises:

Auxiliary synchronous signals heredity subelement, for adopting the auxiliary synchronous signals SSS of genetic algorithm to PCI grouping each in current candidate group to carry out crossing operation and mutation operator, obtaining SSS signal in next generation PC I allocative decision and distributing candidate set; Wherein, the community belonging to same PCI grouping still belongs to same PCI and divides into groups before and after described crossing operation and mutation operator;

Master sync signal heredity subelement, for adopting genetic algorithm to carry out crossing operation and mutation operator to the master sync signal PSS in each PCI grouping, obtaining PSS signal in next generation PC I allocative decision and distributing candidate set.

9. the system that in LTE long-term evolving network according to claim 7, PCI optimizes, it is characterized in that, described isotype probability of interference total amount is the weighting sum that the isotype probability of interference in Nei Ge minizone, target area obtains according to cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weight computing;

Described system also comprises isotype probability of interference calculation of total module, for calculating isotype probability of interference total amount;

Described isotype probability of interference calculation of total module comprises:

Reference Signal Received Power acquiring unit, for respectively detecting grid in target area, obtains multiple Reference Signal Received Power;

Cell type judging unit, for determining the accurate Serving cell that each described detection grid is corresponding and accurate interfered cell according to described multiple Reference Signal Received Power;

Isotype probability of interference computing unit, for judging the isotype interference relationships in minizone, and calculates the isotype probability of interference of the first community at detection grid place by the second community; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

Community is isotype probability of interference computing unit, for for Nei Ge community, target area, calculates the multiple detection grid places of the first community as accurate Serving cell by the isotype probability of interference sum of the second community, obtains the isotype probability of interference of the first community by the second community;

Isotype probability of interference total amount calculating unit, for calculating the isotype probability of interference in Nei Ge minizone, described target area according to the weighting sum of cellular traffic weights, cell merge weights, adjacent area, community weights and interference type weights, obtain isotype probability of interference total amount in target area.

10. the system that in LTE long-term evolving network according to claim 9, PCI optimizes, is characterized in that,

Described cell type judging unit comprises:

Average reference signal received power computation subunit, for calculating each community at the mean value detecting grid place Reference Signal Received Power, as each community in the average reference signal received power detecting grid place;

Cell type judgment sub-unit, for calculating in the difference detecting grid Chu Ge community average reference signal received power and maximum average reference signal received power; Determine that the Serving cell that is as the criterion is determined in the community corresponding to average reference signal received power that described difference is less than first threshold, determine that described difference is less than Second Threshold and the interfered cell that is as the criterion is determined in the community corresponding to average reference signal received power being greater than described first threshold;

Described isotype probability of interference computing unit comprises:

Isotype interference relationships judgment sub-unit, at detection grid place, for each accurate Serving cell, judges to there is other accurate Serving cell of all kinds of isotype interference relationships and accurate interfered cell between accurate Serving cell; There is the interference of mould 50 relation in the interference that described all kinds of isotype interference relationships comprises same physical-layer cell identifier PCI disturbs, PCI exists the interference of mould 3 relation, PCI exists mould 6 relation interference, PCI exists mould 30 relation, PCI, PCI exists the interference of auxiliary synchronous signals SSS with m0 relation, and PCI exists the interference of SSS with m1 relation;

Isotype probability of interference computation subunit, at detection grid place, calculates the first community to the isotype probability of interference of the second community that there is with it isotype interference relationships; Described first community is the Serving cell surely at this detection grid place; Described second community is other accurate Serving cell except the first community or interfered cell surely;

Described isotype probability of interference computation subunit calculates at detection grid (log _p, lat _p) place first community A is by the isotype probability of interference C of the second community B that to there is with it isotype interference relationships ^s _aB(log _p, lat _p) formula be:

${C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)=\frac{1}{1+e^{-0.357+0.248\×[C_A({\log }_p,{\mathrm{lat}}_p)/I_B({\log }_p,{\mathrm{lat}}_p)]}}$

Described community is isotype, and probability of interference computing unit calculates the multiple detection grid places of the first community A as accurate Serving cell by the isotype probability of interference sum of the second community B, obtains the isotype probability of interference C of the first community A by the second community B ^s _aBformula be:

${C^S}_{\mathrm{AB}}=\frac{\underset{n}{\mathrm{\Σ}}{C^S}_{\mathrm{AB}}({\log }_p,{\mathrm{lat}}_p)\×M_{\mathrm{AB},n}}{\underset{n}{\mathrm{\Σ}}{M}_{\mathrm{AB},n}}$

Wherein, there is n to detect grid in the detection grid that the first community A covers as accurate Serving cell and be subject to the isotype interference of the second community B, C _a(log _p, lat _p) for community A is at detection grid (log _p, lat _p) the average reference signal received power at place, I _bfor community B (log _p, lat _p) at detection grid (log _p, lat _p) the average reference signal received power at place, log _pfor detecting grid longitude; lat _pfor detecting grid dimension values; M _{aB, n}for the number of times that the Reference Signal Received Power detecting grid place second community B at n is detected;

The formula that described isotype probability of interference total amount calculating unit calculates isotype probability of interference total amount is:

F(P)＝F _CoCH(P)+F _CoPCI(P)+F _mod(3)(P)+F _mod(6)(P)+F _mod(30)(P)+F _mod(50)(P)+F _m0(P)+F _m1(P)

Wherein, $F_{\mathrm{CoCH}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoCH}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoCH}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{CoPCI}}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{CoPCI}}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{CoPCI}}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(3\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(3\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(3\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(6\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(6\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(6\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(30\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(30\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(30\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{\mathrm{mod}\left(50\right)}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{\mathrm{mod}\left(50\right)}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{\mathrm{mod}\left(50\right)}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m0}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m0}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m0}\×{C^S}_{\mathrm{ij}}+c_0)]$

$F_{m1}\left(P\right)=\underset{i=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{TW}}_i\×\underset{j=1}{\overset{L}{\mathrm{\Σ}}}[{\mathrm{AW}}_{\mathrm{ij}}{x}_{\mathrm{ij}}^{m1}\×{\mathrm{SW}}_{\mathrm{ij}}(k_{m1}\×{C^S}_{\mathrm{ij}}+c_0)]$

Wherein,

Described TW _ifor cell i telephone traffic weights, SW _ijfor cell i is to the switching weights of community j, AW _ijfor cell i is to the adjacent area weights of community j; Community in target area comprises { community 1, community 2 ... cell i ... community j ... community L}; k _xfor interference type weights, wherein, k _coCHfor co-channel interference weights, k _coPCIfor same PCI disturbs weights, k _{mod (3)}for mould 3 disturbs weights, k _{mod (6)}for mould 6 disturbs weights, k _{mod (30)}for mould 30 disturbs weights, k _{mod (50)}for mould 50 disturbs weights, k _m0for same m0 disturbs weights, k _m1for same m1 disturbs weights; c ₀for co-channel interference constant.