CN101547449B - Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization - Google Patents

Abstract

The invention provides a frequency sweep and mobile phone measurement report-based method for automatic frequency optimization. The method specifically and efficiently grasps the improvement of wireless coverage quality on user groups from user group hierarchy, associative network quality and user awareness through the association and integration of frequency sweep data and mobile phone measurement report data so as to achieve a better balance among the user awareness, the network quality and various performance assessment indexes, reduce blindness and avoid fluctuations in network quality.

Description

Based on the autonomous frequency optimization method of frequency sweep and mobile phone measurement report

Technical field

The invention belongs to the core network technology field in mobile communications network, relate to the autonomous frequency optimization method based on frequency sweep and mobile phone measurement report.

Background technology

In gsm networks, frequency planning optimization directly affects network performance and user awareness.Be currently applied to GSM network frequency plan optimization and mainly contain three kinds of technology:

1) based on the Automatic Frequency Planning technology of propagation model coverage prediction.

2) based on the automatic frequency optimization technology of sweep measurement statistics.

3) based on the automatic frequency optimization technology of mobile phone measurement report (MR).If application number is " 2008100721495 ", denomination of invention is " the network optimization method based on measurement report ", and publication number is " CN101409884 ", and publication date is that the patent of invention of " 2009.04.15 " is described in detail this technology.

The first widely applies in the Planning Tool at networking initial stage.Because the electronic chart update cycle is limited, based on signal propagation model automatic frequency optimization when process city multipath (diffraction) disturb, have certain gap from the data accuracy required by real network optimization.Meanwhile, the Automatic Frequency Planning technology based on propagation model coverage prediction can not reflect that user's traffic distributes in time, and therefore, the Automatic Frequency Planning technology based on propagation model coverage prediction can not meet the network optimization management expectancy day by day become more meticulous.

The second is that actual measurement frequency sweep statistics Network Based carries out automatic frequency optimization.Current network optimization service both provides automatic frequency optimization platform and the instrument of actual measurement frequency sweep data Network Based substantially.This technology is better to the improvement effect of coverage hole, is that more conventional art is applied in the current network optimization.

The third is the automatic frequency optimization technology based on mobile phone measurement report.Existing Ge great Wireless Telecom Equipment producer provides the automatic frequency optimization instrument for this plant equipment successively.Advantage is:

1), magnanimity test data source, comparatively objectively respond the actual perceived of terminal use group;

2), from OMCR read network configuration data, mobile statistics etc., Data Source is reliable, and collection desired data is convenient, low cost;

This technology becomes the main flow value-added service content of Ge great Wireless Telecom Equipment producer gradually.

The technology limitation of the first: along with the expansion of network size, from the complaint of VIP base station coverage index and emphasis user, city fine optimization increasingly urgent, and building, city and dense city interlock, indoor distributed system becomes more and more important, and community, city constantly divides, and overlay area constantly diminishes, overlap, mobile phone signal covers main dependence multipath diffraction, does not meet Line-of-Sight Propagation Model.Automatic Frequency Planning technology based on propagation model coverage prediction cannot meet the network optimization management expectancy that becomes more meticulous.

The limitation of the second technology is:

1), comprehensively frequency sweep workload is large, and the duration is long;

2), to urban district, road frequency sweep, some building inconvenience often passes in and out measurement, and Data Collection has incompleteness;

3), the various data of frequency sweep on the spot cannot effectively, as one man be gathered.At present often adopt last look adopting in frequency sweep data.Underuse different times, the relevance of different location frequency sweep data and stability analysis.

4), the frequency sweep data of drive test, CQT can not rationalization's association.Also do not form a comprehensive network optimization quality-monitoring net.

5), frequency sweep data only point out the actual covering quality of network, can not the service-aware of objective expression user.

The limitation of the third technology is:

1), mass data lack feature information extraction, cannot effectively utilize;

2), collection process needs in time monitoring, corrected parameter variation, likely affects existing network normal parameter and network quality.

3), the data acquisition of this technology is generally confined to the application of this plant equipment, limits other application in larger scope.

Limit to for above technology, the technical scheme of this motion is based on the automatic frequency optimization technology of frequency sweep data and mobile phone measurement report (MR).Data from the mobile phone measurement report (MR) that existing frequency sweep data and OMCR report, Data Source has better guarantee, and highlight real network cover associate with End-user services perception.

Summary of the invention

The object of this invention is to provide a kind of autonomous frequency optimization method based on frequency sweep and mobile phone measurement report, solving Data Source in prior art does not have better guarantee, and real network covers and associates poor problem with End-user services perception.

The technical scheme that present system adopts is, based on the autonomous frequency optimization method of frequency sweep and mobile phone measurement report, performs as follows:

(1), in the overlay area needing to optimize, the cell in region divide can according to differentiation location different user group, separate distinct coverage region, traffic variation and optimize the dimensions such as emphasis, the shape of determining unit of making rational planning for lattice and size;

(2), C/I distributes the setting of the degree of association and dynamic conditioning;

(3), neighbor cell interference relational matrix is set up based on frequency sweep data;

(4), neighbor cell interference relational matrix is set up based on mobile phone measurement report (MR);

(5), association mates frequency sweep and mobile phone measurement report (MR) data, formation interference matrix;

(6), for different class frequency allocative decision, the fitness of each frequency allocation plan in frequency allocation plan group and the improvement after optimizing is calculated respectively according to obtained interference matrix;

(7) above-mentioned (6) step, is constantly repeated, until there is a kind of frequency allocation plan optimum in new frequency allocation plan; This frequency allocation plan is the network allocation plan after existing network optimization.

The invention has the beneficial effects as follows:

1), not limit by current each communication equipment model, and this technical scheme is stablized, fast convergence rate.

2), real from customer group level, related network quality and user awareness, can specific aim, hold wireless coverage quality to the lifting of groups of users efficiently.

3), qualitative assessment C/I interference matrix to the actual influence of objective groups of users, though avoid paying close attention to network environment based on Method of Sweeping Algorithm and frequently knowing user awareness in technical scheme based on automatically changing of mobile phone measurement report, the limitation of improvement cannot be implemented.Specific aim and practicality stronger.

4), by mobile phone measurement report mass data accumulate and analyze, can effectively analyze tidal period traffic, for a long time ignore or be difficult to monitor hot zones, focus traffic.

5), by parameter adjustment, can conveniently implement different automatically to change strategy and recruitment evaluation frequently.Based on user terminal perception mass data, dynamics can be ensured in conjunction with Various Seasonal, different operating day, distinct coverage region and different user, propose critic network and optimize emphasis and the Automatic Frequency Planning that need take and effect.Meanwhile, also trend in measurable and anticipation a period of time.All kinds of balance Parameter adjustable, can to revise flexibly.

6), associated data, except drive test, CQT test data and the mobile phone measurement report that can provide at present and basic base station geographic, configuration information, no longer need other other data importings.Do not increase the workload of network optimization personnel;

In addition, the technical program can carry out automatic frequency optimization to the whole network, also frequency optimization can be carried out to individual cells, the He Ne laser problem of newly-built station can be solved equally, do not affect existing network operation, can independently change network performance index contrast frequently by visual assessment, meet the requirement that carrier network is steadily safeguarded.

Accompanying drawing explanation

Fig. 1 is the autonomous frequency optimization method flow chart of the present invention;

Fig. 2 is base station in the embodiment of the present invention under a certain overlay area and MPS process signal distribution;

Fig. 3 is embodiment of the present invention customer group 3-D view;

Fig. 4 is customer group two dimension view in the embodiment of the present invention;

Fig. 5 is interference signal intensity schematic diagram in the embodiment of the present invention;

Fig. 6 is interference signal distribution schematic diagram in the embodiment of the present invention;

Fig. 7 is by parameter f (N/1+e in the embodiment of the present invention ^{a+b × CI}) the C/I distribution schematic diagram that generates;

Fig. 8 is by parameter f (N in the embodiment of the present invention ³/ 1+e ^{a+b × CI}) the C/I distribution schematic diagram that generates.

Embodiment

Below in conjunction with accompanying drawing, technical solution of the present invention is described in detail

The enforcement prerequisite of technical solution of the present invention:

Automatically the enforcement and the effect that change technical scheme frequently be unable to do without following four kinds of situations:

1), one of daily basic configuration information make peace accurately.

2), increase, deletion community, neighbor cell and relevant parameter adjustment upgrade in time.

3), the data integrity of mobile phone measurement report (MR), continuity are consistent with Statistical Criteria.

4), frequency sweep data meet area measure specification, as required in district complicated and changeable, pay close attention to district and strengthen that data are carefully surveyed, repetition measurement, ensure that frequency sweep data sample is true, reliable.

The implementation process of technical solution of the present invention:

Because this technical scheme is in implementation process, should be noted that following some:

1), noting the true of data and long term accumulation, is ensure the efficient prerequisite of this technical scheme;

2), pay close attention to the Cover Characteristics of zones of different and customer group actual change, in analysis, carry out in time correcting and checking.By mass data correction, implement, refine model parameter, ensure from now on promote in efficient.

Concrete implementation step is described below:

1, in the overlay area needing to optimize, the cell in region divide can according to differentiation location different user group, separate distinct coverage region, traffic variation and optimize the dimensions such as emphasis, the shape of determining unit of making rational planning for lattice and size.

In the early stage, the cell of overlay area can be roughly consistent.Due to the restriction of mobile phone measurement report precision, preliminary advice is comparatively safe with 100 meters of X100 rice regions.In same cell, suppose that C/I distributes roughly uniformity.

2, C/I distributes the setting of the degree of association and dynamic conditioning

At different adjacent cells lattice, according to coverage condition on the spot, set the different C/I distribution degrees of association.The rule of foundation is:

2.1 similar outdoor cover environment, as: the same floor etc. of road, open ground, indoor distribution, the C/I distribution degree of association of different adjacent cells lattice can suitably improve, otherwise, then suitably successively decrease.

2.2 C/I meeting different adjacent direction distribute the degree of association, can according to actual conditions, consider setting C/I and to distribute the degree of association; Also region can be optimized in target coverage, the representational overlay area of selected part, carry out comprehensive network frequency sweep, as: intensive commercial region, school and government affairs office, opening, important highway etc., obtain the C/I distribution degree of association in different adjacent direction, representational overlay area.

The setting of the 2.3 different units C/I distribution degrees of association is rolled, and foundation actual conditions dynamic corrections.The Data Source revised is the frequency sweep drive test and the data such as CQT constantly updated.

2.4 carry out filling into of frequency sweep data missing data for the first time, according to the frequency sweep data of adjacent cells lattice, can determine by modes such as simple average values.And in the frequency sweep data of actual measurement afterwards, determine that the C/I of different units lattice distributes the degree of association and C/I Distribution Value.

2.5 in cladding solid building, the needs that the partitioning standards real network of cell is optimized, both can layering, also can be not stratified.But the division of cell all needs the C/I distribution degree of association and the C/I Distribution Value of determining different units lattice according to above-mentioned rule.

3, neighbor cell interference relational matrix is set up based on frequency sweep data

By frequency sweep drive test, DQT test, the region C/I collecting difference in community distributes, whole BCCH, TCH frequency spectrum of the traversal all communities of interest region.These C/I distribute, and insert respectively and determine in the cell of identical longitude and latitude by step 1.In same cell, the C/I distribution of different B CCH, TCH frequency spectrum is approximately consistent.Divide according to the cell of above-mentioned overlay area and C/I distribution degree of association rule, the neighbor cell interference relation C/I set up based on frequency sweep data distributes, and inserts in different cells.

And tradition based on frequency sweep data set up neighbor cell interference relation C/I distribution be: by statistics, estimation C/I distribution in, account for the interference matrix value of bad part≤5% value as this community.The whole BCCH frequency spectrum of the traversal all communities of interest region, generates interference matrix.

Advantage: account for bad part≤5% value owing to adopting, as interference matrix value, comparatively careful.Take into full account the covering defective region of this Intra-cell.

Shortcoming: whether this value rationally needs practice test, owing to lacking subscriber group cells distribution, cannot take further to analyze.Whether simply standardized processing mode, be applicable to the whole network, all the period of time worth discussion.

By this step, the technical program interference relationships C/I that is comparatively objective, that dynamically reflect whole overlay area distributes, and avoids the impact of simple standardized process on whole neighbor cell interference relation.

4, neighbor cell interference relational matrix is set up based on mobile phone measurement report (MR)

According to GSM specification, in power control and switching controls, the measurement report of Serving cell measured by it and adjacent cell regularly reported by the mobile phone under talking state to network with 480 millisecond periods.Mainly comprise Serving cell BCCH, signal level, speech quality and TA value etc., in addition, also comprise 6 the strongest adjacent cell BCCH of signal, signal level and BSIC (Network Color Code) etc.All frequencies do not measured by mobile phone, and institute's reporting neighboring cell information is only confined to the community that BCCH frequency is positioned at BA table that this Serving cell defines and Neighboring Cell List.

The report of mobile phone out-hole run to comprise in network all users when all period calls, each inter-cell signal strength conditions in its position.By collecting the mobile phone measurement report (MR) of magnanimity, obtaining all inter-cell signal interference in network, forming interference matrix C/I distribution.

The generation of interference matrix:

The generation of 4.1 measurement reports: mobile phone is collected this community and dominated the BCCH received power value of community and the received power value of adjacent BCCH, report network.Many mobile phones form magnanimity measurement report data after reporting and adding up;

The foundation of 4.2 neighbor cell interference relations: in measurement report, travels through whole BCCH frequency spectrum, pays close attention to community, establishes the power distribution between different B CCH, the C/I distribution of this leading community of corresponding formation.

Tradition generates the good and bad point of interference matrix based on mobile phone measurement report (MR):

Advantage: account for bad part≤5% value owing to adopting, as interference matrix value, comparatively careful.Take into full account the covering defective region of this Intra-cell.

Shortcoming: whether this value rationally needs practice test, owing to lacking subscriber group cells distribution, cannot take further to analyze.Whether the process simplifying is applicable to the whole network, all the period of time worth discussion.

By this step, the technical program is no longer by Distribution Statistics, and simple intercepting accounts for bad part≤5% value, as interference matrix value, avoids the impact on whole neighbor cell interference relation.

5, association coupling frequency sweep and mobile phone measurement report (MR) data, form interference matrix

5.1 based on the autonomous frequency optimization technical scheme principle of frequency sweep and mobile phone measurement report (MR)

Have from actual frequency sweep data on the one hand, reflection real network coverage condition is the autonomous frequency optimization of foundation, on the other hand from the magnanimity mobile phone measurement report data of system acquisition, and the frequency optimization of the perception of reflection terminal use group.User accepts in GSM network service process, acknowledge(ment) signal quality during network implementation, and constantly adjusts.And due to complicated overlay environments such as cities, coverage hole, call drop may be there is.The association actual frequency sweep data of coupling and magnanimity mobile phone measurement report data are the autonomous frequency optimization technical scheme emphasis based on frequency sweep and mobile phone measurement report (MR).

5.2 based on the scheme implementation of the autonomous frequency optimization technology of frequency sweep and mobile phone measurement report (MR)

So far, we have obtained the C/I distribution of the actual covering of network in target coverage optimization region in different units lattice and the C/I distribution of groups of users actual perceived.

In same cell, the C/I distribution of different B CCH, TCH frequency spectrum is approximately consistent.In target coverage area, in the different units lattice C/I distribution of identical BCCH, TCH frequency spectrum based on frequency sweep data genaration, suppose that frequency sweep data are mobile phone measurement report (MR) user data of the C/I distribution being uniform-distribution with identical BCCH, TCH frequency spectrum in the C/I distribution unit lattice of identical BCCH, TCH frequency spectrum. along with mobile phone measurement report (MR) user data dividing different B CCH in the different units lattice C/I distribution of different B CCH, TCH frequency spectrum, the C/I of TCH frequency spectrum distributes, groups of users is distinct refinement gradually in target coverage area, and precision constantly promotes.Namely mobile phone measurement report (MR) and frequency sweep data combine, and are estimated by maximum Bayesian likelihood, tentatively determine that customer group distributes.

The distribution situation of customer group is as shown in the formula expression:

$N=\underset{\mathrm{CI\; fre}=\min }{\overset{\max }{\mathrm{\Σ}}}\underset{x,y=\min }{\overset{\max }{\mathrm{\Σ}}}f(\mathrm{CI},x,y,h,\mathrm{mb}\_\mathrm{CI},t|P(\mathrm{mb}\_\mathrm{CI})=P\left(\mathrm{CI}\right))$

In above formula, N represents the number of users in this cell.P (mb_CI) represents the C/I value collected by mobile phone measurement report.P (CI) is the C/I value obtained by frequency sweep data acquisition.P (mb_CI)=P (CI) represents when both maximum likelihood couplings.X, y, h represent the longitude and latitude of this cell respectively and highly wait geographical location information, and t represents the time.

F (CI, x, y, h, mb_CI, t|P (mb_CI)=P (CI)) when representing P (mb_CI)=P (CI), according to maximum likelihood probability apportion the mobile phone measurement report number of this cell, report mechanism by every 480ms timing, be converted into number of users.

Obtain the different B CCH of target area different units lattice, the C/I of TCH frequency spectrum distributes and after customer group distribution, adopt different weight, the user assessed in this coverage cell is subject to the C/I annoyance level of different frequency.Adopt the loop iteration optimisation technique scheme of stable convergence, the associating reached based on frequency sweep and mobile phone measurement report (MR) changes frequent rate masterplate and assessment automatically.In formula, also can add the analysis of non-homochromy community adjacent frequency and co-channel interference.Principle and above-described similar.

The technical program according to reality, can analyze network optimization strategy emphasis, and adjustment different parameters weight, draws preferred plan.

After adopting different weight, obtain the C/I distribution of certain overlay area as shown in the formula expression:

$C/I=\left[\begin{array}{cccc}{\mathrm{CI}}_{f_1\×f_1}& {\mathrm{CI}}_{f_1\×f_2}& ...& {\mathrm{CI}}_{f_1\×f_N}\\ {\mathrm{CI}}_{f_2\×f_1}& ...& ...& ...\\ ...& ...& ...& ...\\ {\mathrm{CI}}_{f_1\×f_n}& ...& ...& {\mathrm{CI}}_{f_N\×f_n}\end{array}\right]=\left[\begin{array}{ccc}{\underset{x=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}\underset{y=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}{N}_{x,y}\×{\mathrm{CI}}_{x,y}}_{f_1\×f_1}& ...& ...\\ ...& ...& ...\\ ...& ...& {\underset{x=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}\underset{y=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}{N}_{x,y}\×{\mathrm{CI}}_{x,y}}_{f_N\×f_n}\end{array}\right]$

Above formula represents certain overlay area, full frequency band C/I interference profile situation each other. represent frequency f ₁and frequency f ₁between C/I interference value.N _{x, y}represent the number of users of this overlay area, as the weighted value of full frequency band C/I interference profile situation each other.

6, for different class frequency allocative decision, the fitness of each frequency allocation plan in frequency allocation plan group and the improvement after optimizing is calculated respectively according to obtained interference matrix.

7, above-mentioned (6) step is constantly repeated, until there is a kind of frequency allocation plan optimum in new frequency allocation plan.

8, this frequency allocation plan be existing network optimize after network allocation plan.

Based on the frequently technical scheme that automatically changes of frequency sweep, to promote network service quality be more rely on daily monitoring, DT and CQI test and customer complaint process, and the processing time is long, cannot active, efficient lifting network optimization quality.Although and implied customer location based on the mobile phone measurement report of mass data, accepted the multiple parameters such as level, frequency sweep data and mobile phone measurement report cannot be associated.Only based on frequency sweep or automatically changing frequently technical scheme and all cannot understand customer group distribution in community only based on mobile phone measurement report, thus extract more dominant characters.

Distinguishing feature of the present invention be compensate for existing method can only rough estimate parallel compensate performance, and can not according to existing network frequency sweep and mobile phone measurement report (MR) data, interrelated, form the deficiency that allocative decision quality is evaluated in interference.Solve the problems such as the cutting off rate brought because of co-channel interference in network.Frequency optimization is carried out to existing network, improves the quality of parallel compensate, improve frequency spectrum resource utilization rate, the whole network of network is disturbed and reaches optimization.

Embodiment:

Suppose: 1), research community be 100 × 100 grid overlay areas;

2), overlay area is covered continuously by 9 irregular communities and forms;

3), frequency sweep Data Source obtains by propagation attenuation model, can be substituted in further emulation by actual frequency sweep data;

4), MR measurement report, by distributed area be [-15,10] normal distribution estimation.

The overlay area of a certain overlay area different base station and community as shown in Figure 2:

According to assumed condition, constantly carry out by the C/I distribution of frequency sweep data C/I distributed users data in cell identical in mobile phone measurement report (MR) obtain target coverage area customer group distribution after carrying out sharing coupling.

The customer group distribution 3-D view obtained after emulation as shown in Figure 3.

The customer group obtained after emulation distributes two-dimentional vertical view as shown in Figure 4.

The interference signal intensity schematic diagram of this overlay area as shown in Figure 5, interference signal distribution schematic diagram as shown in Figure 6: in whole coverage cell, the leading signal that covers generally is greater than interference signal.Interference signal is randomly dispersed in overlay area.If stronger interference signal and customer group distribution overlap, a large number of users perception can be caused to decline, therefore, in Automatic Frequency Planning, the distribution of customer group should be considered, also need the signal disturbing situation considered on the spot simultaneously.

In whole coverage cell, consider temporarily to introduce parameter f (N/1+e ^{a+b × CI}), as certain overlay area distribution situation.This parameter had both considered the groups of users distribution of certain overlay area, have also contemplated that the signal covering quality in this overlay area, was the overall balance strengthening network coverage input and As soon as possible Promising Policy user awareness index.If this parameter is bigger than normal, then represent that the number of users of this overlay area (cell) is more, or the signal quality of this overlay area (cell) poor (C/I distribution is lower), therefore, this overlay area (cell) is the overlay area needing to optimize as early as possible.And if this parameter is less, then represent that the number of users of this overlay area (cell) is less, such as in areas such as open farmlands, or the signal quality of this overlay area is better (C/I distribution is higher), and such as: priority support section etc.

Specifically be expressed as follows formula:

$A(N/1+e^{a+b\×\mathrm{CI}})=\frac{{\underset{f=f_{\min }}{\overset{\max }{\mathrm{\Σ}}}\underset{x=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}\underset{y=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}(N/1+e^{a+b\×\mathrm{CI}})}_{f_1\×f_1}}{{\underset{x=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}\underset{y=\mathrm{cell}\_\min }{\overset{\max }{\mathrm{\Σ}}}N}_{f_1\×f_1}}$

Above formula is C/I distribution work one parameter optimization to certain overlay area.N represents the number of users of this overlay area.In a+b × CI, a is the minimum threshold of C/I distribution influence.B represents the weighted value of C/I distribution influence.A and b can adjust in real time according to real network situation.A (N/1+e ^{a+b × CI}) represent consider user distribution and C/I distribution after, the optimization key area obtained.

By parameter f (N/1+e ^{a+b × CI}) the C/I distribution schematic diagram that generates, shown in Fig. 7.

In real network optimizing process, this parameter can be paid close attention to face difference according to optimization target coverage being optimized to region and change to some extent.The dynamic fluctuation situation of number of users is more paid close attention on the impact of overlay area if any optimizing region to target coverage.Be f (N as adjusted parameter ³/ 1+e ^{a+b × CI}) under key area change signal as Fig. 8.

If need emphasis to optimize the signal quality of this overlay area, then by the sensitivity of C/I interference under definition zones of different, automatically change technical scheme frequently and ensure the effective distributed network Radio Resource of emphasis.Reach the better balance of user awareness, network quality and performance assessment criteria.Reduce blindness, avoid network quality to fluctuate.

Claims (3)

1., based on the autonomous frequency optimization method of frequency sweep and mobile phone measurement report, it is characterized in that performing as follows:

(1), in the overlay area needing to optimize, the cell in region divide can according to differentiation location different user group, separate distinct coverage region, traffic variation and optimize emphasis dimension, the shape of determining unit of making rational planning for lattice and size;

(2), C/I distributes the setting of the degree of association and dynamic conditioning;

(3), neighbor cell interference relational matrix is set up based on frequency sweep data;

(4), neighbor cell interference relational matrix is set up based on mobile phone measurement report (MR);

(5), association mates frequency sweep and mobile phone measurement report (MR) data, formation interference matrix;

(6), for different class frequency allocative decision, the fitness of each frequency allocation plan in frequency allocation plan group and the improvement after optimizing is calculated respectively according to obtained interference matrix;

(7) above-mentioned (6) step, is constantly repeated, until there is a kind of frequency allocation plan optimum in new frequency allocation plan; This frequency allocation plan is the network allocation plan after existing network optimization;

Formed in described step 5 in interference matrix process and mobile phone measurement report (MR) and frequency sweep data combined, estimated by maximum Bayesian likelihood, tentatively determine that customer group distributes,

As shown in the formula expression:

$N=\underset{\mathrm{CI}\_\mathrm{fre}=\min }{\overset{\max }{\mathrm{\Σ}}}\underset{x,y=\min }{\overset{\max }{\mathrm{\Σ}}}f(\mathrm{CI},x,y,h,\mathrm{mb}\_\mathrm{CI},t|P(\mathrm{mb}\_\mathrm{CI})=P\left(\mathrm{CI}\right))$

In above formula, N represents the number of users in this cell; P (mb_CI) represents the C/I value collected by mobile phone measurement report; P (CI) is the C/I value obtained by frequency sweep data acquisition; Maximum likelihood coupling both P (mb_CI)=P (CI) represents; X, y, h represent the longitude and latitude of this cell and the geographical location information of height respectively, and t represents the time; F (CI, x, y, h, mb_CI, t|P (mb_CI)=P (CI)) when representing P (mb_CI)=P (CI), according to maximum likelihood probability apportion the mobile phone measurement report number of this cell, report mechanism by every 480ms timing, be converted into number of users.

2. the autonomous frequency optimization method based on frequency sweep and mobile phone measurement report according to claim 1, is characterized in that the size of cell in step 1 is 100 meters of X100 rice.

3. the autonomous frequency optimization method based on frequency sweep and mobile phone measurement report according to claim 1, it is characterized in that in step 3 neighbor cell interference relational matrix process of establishing by statistics, estimation C/I distribution, accounts for the interference matrix value of bad part≤5% value as this community.