CN105472660B

CN105472660B - A kind of load-balancing method, the network equipment and system

Info

Publication number: CN105472660B
Application number: CN201410461294.8A
Authority: CN
Inventors: 江鹏; 刘林南
Original assignee: China Mobile Communications Group Co Ltd
Current assignee: China Mobile Communications Group Co Ltd
Priority date: 2014-09-11
Filing date: 2014-09-11
Publication date: 2019-10-15
Anticipated expiration: 2034-09-11
Also published as: CN105472660A

Abstract

The invention discloses a kind of load-balancing method, the network equipment and systems, wherein the described method includes: obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1；Using the corresponding operation data of the M network, predicted load of each cell in the first period in the M network is calculated；According to the predicted load and preset load balancing, determine each cell and the adjusting parameter of Target cell in the M network, the adjusting parameter of each cell and its corresponding Target cell is sent to corresponding second network equipment, second network equipment for controlling each cell is adjusted according to the Target cell and adjusting parameter, and second network equipment for controlling each Target cell is adjusted according to adjusting parameter.

Description

A kind of load-balancing method, the network equipment and system

Technical field

The present invention relates to the administrative skill of the communications field more particularly to a kind of load-balancing methods, the network equipment and system.

Background technique

With the continuous development of cordless communication network, in TD SDMA (Time Division- Synchronous Code Division Multiple Access, TD-SCDMA), global system for mobile communications (Global System for Mobile Communication, GSM) in network, when there is load imbalance situation, network is needed to tie up Shield personnel are found the problem in the side OMC by monitoring, and the artificial provisional parameter that imposes adjusts.In long term evolution (Long Term Evolution, LTE) in network to improve optimization efficiency, propose load balancing (Mobility Load Balancing, MLB) function is to solve this laod unbalance phenomenon；It is mainly used for that cell load is excessively high, or the industry between multiple cell occurs Be engaged in the unbalanced scene of power load distributing, target be changed by certain mode traffic load distribution, make radio resource keep compared with High utilization efficiency, while guaranteeing the service quality (Quality of Service, QoS) of established business.

But cannot achieve load balancing between different vendor's equipment, for the equipment of the service provider of heterogeneous networks, need Being analyzed by OMC according to the measurement data that base station reports respectively, thus be difficult to form unified Optimal Decision-making, to be difficult to Realize the load balance optimization across manufacturer, so just will appear can not carry out loading between the network of above-mentioned several different systems Weighing apparatus, therefore new network is allowed effectively to share the telephone traffic of former network, there is the case where " old net is busy dead, and new net is not busy dead ".

Summary of the invention

In view of this, at least being solved the purpose of the present invention is to provide a kind of load-balancing method, the network equipment and system The above-mentioned problems in the prior art.

In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:

The present invention provides a kind of load-balancing methods, which comprises

The corresponding operation data of M network is obtained, M is the positive integer more than or equal to 1；

Using the corresponding operation data of the M network, each cell is calculated in the M network in the first period In predicted load；

According to the predicted load and preset load balancing, determine in the M network each cell and The adjusting parameter of each cell and its corresponding Target cell is sent to corresponding second by the adjusting parameter of Target cell The network equipment, second network equipment for controlling each cell is adjusted according to the Target cell and adjusting parameter, and is controlled Second network equipment for making each Target cell is adjusted according to adjusting parameter.

It is described using the corresponding operation data of the M network in above scheme, it is calculated in the M network each Predicted load of a cell in the first period, comprising:

The corresponding operation data of each cell is extracted respectively；

From the corresponding operation data of the cell, the traffic statistics of three set periods are extracted；

Using the traffic statistics of three set periods, load prediction of the cell in the first period is predicted Value.

It is described according to the predicted load and preset load balancing in above scheme, determine the M net Each cell and the adjusting parameter of Target cell in network, comprising:

A cell is chosen from each cell one by one as first community, the load for extracting the first community is pre- Measured value；

When the predicted load of the first community is greater than preset load-threshold value,

The type that the first community is judged according to the cell attribute parameter in the cell parameter of the first community, works as institute When to state first community be LTE cell, according to preset first selection sequence, alien frequencies neighboring community, LTE system out of LTE system It is the first community selection target cell, and determine first in interior homogeneous frequency adjacent area, TD-SCDMA system in neighboring community The adjusting parameter of cell and its corresponding Target cell；

When the first community is TD-SCDMA cell, according to preset second selection sequence, from TD-SCDMA system In interior neighboring community and gsm system in neighboring community, be the first community selection target cell, and determine first community and The adjusting parameter of its corresponding Target cell；

When the first community is GSM cell, from gsm system in neighboring community, mesh is selected for the first community Cell is marked, and determines the adjusting parameter of first community and its corresponding Target cell.

In above scheme, the selection target cell, comprising:

According to the cell parameter in the corresponding operation data of the M network, determine that first community is corresponding n adjacent small Area, n are the positive integer more than or equal to 1；

Using base station basic data, the area coverage of the first community is calculated, and is calculated and described first The area coverage of n neighboring community of cell, calculates separately the area ratio between n neighboring community and the first community；

Each cell extracts the n neighboring community in the predicted load in the first period from the M network Predicted load in the first period；

Predicted load of the n neighboring community in the first period is calculated, with preset small domain tyeory total traffic T Between ratio, obtain the traffic idle ratio of n neighboring community described in the first period；

It is idle using the traffic of area ratio and the n neighboring community between n neighboring community and the first community Than the corresponding load balancing index in the n neighboring community is calculated；

The maximum cell of load balancing index is chosen from the n neighboring community as Target cell.

The present invention provides a kind of load-balancing methods, are applied to second network equipment, which comprises

Receive the corresponding Target cell of each cell and adjusting parameter of self-management；

Each cell is controlled to be adjusted according to the Target cell and adjusting parameter.

The present invention also provides a kind of network equipment, the network equipment includes:

Data capture unit, for obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1；

Computing unit, for being calculated each in the M network using the corresponding operation data of the M network Predicted load of the cell in the first period；

Adjustment unit, for determining the M network according to the predicted load and preset load balancing In each cell and the adjusting parameter of Target cell；

Transmission unit, for the adjusting parameter of each cell and its corresponding Target cell to be sent to corresponding Two network equipments, second network equipment for controlling each cell are adjusted according to the Target cell and adjusting parameter, and Second network equipment for controlling each Target cell is adjusted according to adjusting parameter.

In above scheme, the computing unit includes:

Subelement is extracted, for extracting the corresponding operation data of each cell respectively；From the corresponding operation number of the cell In, the traffic statistics of three set periods are extracted；

Computation subunit predicts the cell first for the traffic statistics using three set periods Predicted load in period.

In above scheme, the adjustment unit includes:

Subelement is determined, for choosing a cell from each cell one by one as first community, described in extraction The predicted load of first community；Judge whether the predicted load of the first community is greater than preset load-threshold value；

Adjusting parameter determines subelement, is greater than preset load-threshold value for the predicted load when the first community When, the type of the first community is judged according to the cell attribute parameter in the cell parameter of the first community, when described When one cell is LTE cell, according to preset first selection sequence, the alien frequencies neighboring community, same in LTE system out of LTE system It is the first community selection target cell, and determine first community in frequency adjacent area, TD-SCDMA system in neighboring community And its adjusting parameter of corresponding Target cell；

In above scheme, the adjusting parameter determines subelement, is specifically used for according to the corresponding operation number of the M network Cell parameter in determines the corresponding n neighboring community of first community；Using base station basic data, it is calculated described The area coverage of one cell, and the area coverage with n neighboring community of the first community is calculated, calculate separately n Area ratio between neighboring community and the first community；Load of each cell in the first period from the M network In predicted value, predicted load of the n neighboring community in the first period is extracted；The n neighboring community is calculated Ratio between predicted load in one period, with preset small domain tyeory total traffic T, obtains n described in the first period The traffic idle ratio of a neighboring community；Utilize the area ratio and the n phase between n neighboring community and the first community The corresponding load balancing index in the n neighboring community is calculated in the traffic idle ratio of adjacent cell；It is adjacent small from the n The maximum cell of load balancing index is chosen in area as Target cell.

The present invention provides a kind of network equipment, the network equipment includes:

Communication unit, for receiving the corresponding Target cell of each cell and adjusting parameter of self-management；

Processing unit is adjusted for controlling each cell according to the Target cell and adjusting parameter.

The present invention also provides a kind of SiteServer LBS, the system comprises:

First network equipment, for obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1；It utilizes The corresponding operation data of the M network, is calculated load prediction of each cell in the first period in the M network Value；According to the predicted load and preset load balancing, determine that each cell and target are small in the M network The adjusting parameter of each cell and its corresponding Target cell is sent to corresponding second network and set by the adjusting parameter in area It is standby；

Second network equipment, for receiving the corresponding Target cell of each cell and adjusting parameter of self-management；Control Each cell is made to be adjusted according to the Target cell and adjusting parameter.

Load-balancing method, the network equipment and system provided by the present invention can pass through the operation number of M network of acquisition According to, the predicted load of each cell in M network is calculated, it is determining each further according to the predicted load of each cell The adjusting parameter of a cell and its corresponding Target cell；To realize the tune to each cell and its corresponding Target cell It is whole, the effect of multiple network cooperating development is effectively achieved, the situation of busy unevenness is avoided, improves network resource usage Rate.

Detailed description of the invention

Fig. 1 is load-balancing method flow diagram one in the embodiment of the present invention；

Fig. 2 is the flow diagram for determining adjusting parameter in the embodiment of the present invention according to preset load balancing；

Fig. 3 is the flow diagram of selection target cell in the embodiment of the present invention；

Fig. 4 is load balancing scheme of embodiment of the present invention flow diagram two；

Fig. 5 is the network equipment of embodiment of the present invention composed structure schematic diagram one；

Fig. 6 is the network equipment of embodiment of the present invention composed structure schematic diagram two；

Fig. 7 is SiteServer LBS of embodiment of the present invention composed structure schematic diagram；

Fig. 8 is a kind of networking schematic diagram of the embodiment of the present invention.

Specific embodiment

With reference to the accompanying drawing and specific embodiment the present invention is further described in more detail.

Embodiment one,

The embodiment of the invention provides a kind of load-balancing methods, are applied to first network equipment, as shown in Figure 1, comprising:

Step 101: obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1.

Step 102: using the corresponding operation data of the M network, each cell in the M network is calculated and exists Predicted load in first period.

Step 103: according to the predicted load and preset load balancing, determining each in the M network The adjusting parameter of each cell and its corresponding Target cell is sent to pair by the adjusting parameter of a cell and Target cell Second network equipment answered, second network equipment for controlling each cell are adjusted according to the Target cell and adjusting parameter It is whole, and second network equipment for controlling each Target cell is adjusted according to adjusting parameter.

Here, the corresponding operation data of the M network may include: respectively from the Operation and Maintenance in the M network Center (OMC, Operation and Maintenance Center), extracts corresponding operation data.

Wherein, the M network can include at least a TD-SCDMA network, a GSM network, a LTE network.

The operation data may include: traffic statistics, cell parameter, base station basic data；

Wherein, the traffic statistics may include: at least one period and each period cell wirelessly utilize The length of rate and/or congestion ratio, the period can be preset according to the actual situation, such as 1 hour or 15 minutes；

The cell parameter may include at least one of: cell attribute parameter, power configuration, frequency point configuration, Half Speed Rate parameter configuration, data service parameter configuration, neighbor cell configuration；

The base station basic data may include at least one of: latitude and longitude of base station, angle of declination, deflection.

Above-mentioned steps 102 can specifically include: the corresponding operation data of the M network is saved to database；Respectively Extract the corresponding operation data of each cell；From the corresponding operation data of the cell, the traffic of three set periods is extracted Statistical data；Using the traffic statistics of three set periods, predict that load of the cell in the first period is pre- Measured value.

First period can according to the actual conditions preset period；For example, when the embodiment of the present invention is periodically When execution, then first period can be for next cycle；When the embodiment of the present invention is at the appointed time to execute, that First period can be for according to the actual conditions preset period.

Three set periods may include: that the first set period is identical with first period in the scheduled date Period, the second set period are the period where current time in the scheduled date, and third set period is the period where current time； Wherein, the scheduled date can be arranged according to the actual situation, for example, can in upper one week, can also in upper two weeks, or Person is in first three days.

The traffic statistics using three set periods, predict load of the cell in the first period Predicted value may include:

The variance for calculating traffic statistics in the first set period, when the variance is greater than pre-determined threshold, using the One predictor formula predicts predicted load of the cell in the first period；When the variance is not more than pre-determined threshold, adopt Predicted load of the cell in the first period is predicted with the second predictor formula.

First predictor formula are as follows: predicted load of the cell in the first period is equal to the first set period Maximum value in traffic statistics, divided by the second set period traffic statistics average value, then refer to multiplied by third The traffic statistics of timing section.

Second predictor formula are as follows: predicted load of the cell in the first period is equal to the first set period The average value of traffic statistics, divided by the second set period traffic statistics average value, multiplied by third set period Traffic statistics.

Above-mentioned steps 103 determine in the M network according to the predicted load and preset load balancing The adjusting parameter of each cell and Target cell may include:

The type that the first community is judged according to the cell attribute parameter in the cell parameter of the first community, works as institute When to state first community be LTE cell, according to preset first selection sequence, alien frequencies neighboring community, LTE system out of LTE system It is the first community selection target cell, and determine first in interior homogeneous frequency adjacent area, TD-SCDMA system in neighboring community The adjusting parameter of cell and its corresponding Target cell；Wherein, the first selection sequence can be adjacent for alien frequencies in LTE system Homogeneous frequency adjacent area in cell, LTE system, neighboring community in TD-SCDMA system；

When the first community is TD-SCDMA cell, according to preset second selection sequence, from TD-SCDMA system In interior neighboring community and gsm system in neighboring community, be the first community selection target cell, and determine first community and The adjusting parameter of its corresponding Target cell；Second selection sequence can be to be neighboring community in TD-SCDMA system, so first It is afterwards neighboring community in gsm system；

Below for above-mentioned according to the predicted load, according to the predicted load and preset load balancing plan Slightly, determine that each cell and the adjusting parameter of Target cell provide a specific implementation scene in the M network, such as Fig. 2 institute Show, comprising:

Step 201: choosing a cell from each cell one by one as first community, extract the first community Predicted load；

Step 202: when the predicted load of the first community is greater than preset load-threshold value, wherein described negative Carrying threshold value can be set separately according to heterogeneous networks different community；

Step 203: according to the cell attribute parameter in the cell parameter of the first community, judging the first community Type executes step 204 when the first community is LTE cell；When the first community is TD-SCDMA cell, hold Row step 208；When the first community is GSM cell, step 209 is executed.

Step 204: judging the first community with the presence or absence of iso-frequency adjacent community in the LTE system of low-load, if so, then selecting The alien-frequency district LTE is selected as Target cell, determines the cell parameter of the Target cell and the adjustment ginseng of the Target cell The adjusting parameter of several, the described first community, ends processing process；Otherwise, step 205 is executed；

Step 205: co-frequency neighbor cell in the LTE system of low-load is judged whether there is, if so, then selecting LTE small with frequency Area determines the cell parameter of the Target cell and the adjusting parameter of the Target cell, described first as Target cell The adjusting parameter of cell, ends processing process；Otherwise, step 206 is executed；

Step 206: neighboring community in the TD-SCDMA system of low-load is judged whether there is, if so, then selecting TD- SCDMA cell as Target cell, determine the cell parameter of the Target cell and the adjusting parameter of the Target cell, The adjusting parameter of the first community, ends processing process；Otherwise, step 207 is executed；

Step 207: when there is no neighboring community or adjacent cell load too high in TD-SCDMA system, not having load balancing item When part, trial will load to gsm system cell and carry out equilibrium；In view of the difference of LTE system and gsm system bearing capacity, LTE System high load cell will not attempt to carry out load balancing to gsm system cell, and prompt to carry out loading without suitable cell Weighing apparatus, ends processing process.

Step 208: neighboring community in the TD-SCDMA system of low-load is judged whether there is, if so, then selecting TD- SCDMA cell as Target cell, determine the cell parameter of the Target cell and the adjusting parameter of the Target cell, The adjusting parameter of the first community, ends processing process；Otherwise, step 209 is executed；

Step 209: adjacent cell in the gsm system of low-load is judged whether there is, if so, then selecting GSM cell as mesh Cell is marked, determines the tune of the cell parameter of the Target cell and the adjusting parameter of the Target cell, the first community Whole parameter, ends processing process；Otherwise, prompt carries out load balancing without suitable cell.

Preferably, the selection method of above-mentioned Target cell can be as shown in Figure 3, comprising:

Step 301: according to the cell parameter in the corresponding operation data of the M network, determining the corresponding n of first community A neighboring community, n are the positive integer more than or equal to 1；

Step 302: utilize base station basic data, the area coverage S of the first community is calculated, and be calculated with Area coverage S1, S2 of n neighboring community of the first community ..., Sn, calculate separately n neighboring community and described first Area ratio between cell；

Step 303: each cell extracts the n in the predicted load in the first period from the M network Predicted load T1, T2 of the neighboring community in the first period ..., Tn；

Step 304: calculate one by one predicted load T1, T2 of the n neighboring community in the first period ..., Tn, with Ratio between preset small domain tyeory total traffic T, obtains the traffic idle ratio of n neighboring community described in the first period；

Step 305: using between n neighboring community and the first community area ratio and the n neighboring community Traffic idle ratio determines the corresponding load balancing index in the n neighboring community；

Step 306: the maximum cell of load balancing index is chosen from the n neighboring community as Target cell.

Wherein, the operation for calculating the area ratio between n neighboring community and the cell can carry out offline, and calculating makes With following formula:

Calculate predicted load T1, T2 of the n neighboring community in the first period ..., Tn, managed with preset cell By the formula of the ratio between total traffic T:

It determines the corresponding load balancing index in the n neighboring community, following formula: LB can be used₁=P₁*Q₁, LB₂ =P₂*Q₂..., LB_n=P_n*Q_n。

It preferably, can also include: to be carried out to this cell for carrying out parameter adjustment after the completion of above-mentioned steps 103 execute Label；

Correspondingly, can also include: to be examined within the second period to the predicted value that meets for the cell being marked Look into, when inspection result be predicted load be lower than load-threshold value, then delete its label.

Each cell and the adjusting parameter of Target cell may include: switching, reselecting parameters, and in each cell By the user terminal in range to while external migration, postpone the user terminal of the Target cell switch to source cell when Between.

Preferably, each cell and the adjusting parameter of Target cell can also include: adjustment each cell Power configuration, so that the power ascension designated value of each cell；And the power of the Target cell of adjustment each cell is matched It sets, so that the power of the Target cell reduces designated value.

In this way, it is to ensure that the user terminal that cell is handed over tries not to be switched back into source cell again, to prevent Only pingpang handoff；For example, may include the switching of LTE alien frequencies, such as the switching in A4/A5 event, reselecting parameters；LTE is same to be cut frequently It changes, switching, reselecting parameters in A3 event；Different system switching, for example, switching, reselecting parameters in A2, A4 event.

Preferably, the adjusting parameter by each cell and its corresponding Target cell is sent to corresponding second The network equipment can be with are as follows: each cell and the adjusting parameter of Target cell are sent to corresponding second network by OMC Equipment；Wherein, second network equipment can be eNB, RNC, BSC.

It preferably, can also include: condition execution instruction in feedback process implementation process, report cannot be adjusted small Area, areas of congestion, so as to the subsequent carry out artificial optimization of maintenance personnel.

Preferably, above-mentioned steps 101 to step 103 can be executed periodically, for example, each period is 2 hours；

Alternatively, above-mentioned steps 101 can also start to execute at the appointed time to step 103, for example, by statistics, often It loads the maximum period as 10-16 point, starts to execute a step 101 at daily 10 points to step then can specify 103,12 points execute it is primary, 14 points execute it is primary, 16 points execute again primary, remaining time on the same day can not execute step 101, I.e. without using the present invention.

In the prior art, it cannot achieve load balancing between different vendor's equipment, be because existing scheme is determined in optimization When plan, same vendor equipment is respectively necessary for being analyzed by the OMC of different vendor according to the measurement data that each base station reports, and It ultimately forms prioritization scheme, but for different vendor equipment, adheres to different OMC management separately, thus be difficult to form unified optimization and determine Plan, to be difficult to realize the load balancing scheme provided in the load balance optimization above scheme across manufacturer, it is difficult to form complete move The unified Optimal Decision-making of dynamic network；Also, since load balancing can not be carried out between the network of above-mentioned several different systems, cause New network can not be allowed effectively to share the telephone traffic of former network, to the case where " old net is busy dead, and new net is not busy dead " occur.

Using above scheme provided in this embodiment, the operation data of M network can be obtained, M network is calculated In each cell predicted load, determine each cell and its corresponding mesh further according to the predicted load of each cell The adjusting parameter of cell is marked, to realize the adjustment to each cell and its corresponding Target cell.As it can be seen that using the above scheme By obtaining the operation data of multiple networks, determines corresponding adjusting parameter, effectively achieve the effect of multiple network cooperating development Fruit, the case where avoiding " busy net is busy dead, and spare time net is not busy dead ", occur, and improve network resource utilization.

Meanwhile can also effectively save manpower maintenance cost, while avoiding the mistake behaviour being likely to occur during manual operation Make, improves the validity and reliability of load balance optimization.

Embodiment two,

The embodiment of the invention provides a kind of load-balancing methods, as shown in Figure 4, comprising:

Step 401: receiving the corresponding Target cell of each cell and adjusting parameter of self-management；

Step 402: control each cell is adjusted according to the Target cell and adjusting parameter.

The present embodiment can be applied to second network equipment, and second network equipment can be RNC, BSC, eNB etc..

Preferably, the method can also include: the OMC of network where being sent to operation data.

Using above scheme provided in this embodiment, the second electronic equipment in each network can be controlled and report itself fortune Row data, and each cell and its corresponding Target cell are determined according to the predicted load of each cell received Adjusting parameter, to realize adjustment to each cell and its corresponding Target cell.As it can be seen that using the above scheme effectively The case where achieving the effect that multiple network cooperating development, avoiding " busy net is busy dead, and spare time net is not busy dead " occurs, and improves Internet resources Utilization rate.Meanwhile can also effectively save manpower maintenance cost, while avoiding the mistake behaviour being likely to occur during manual operation Make, improves the validity and reliability of load balance optimization.

Embodiment three,

The embodiment of the invention provides a kind of network equipments, as shown in Figure 5, comprising:

Data capture unit 51, for obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1；

Computing unit 52, for being calculated in the M network each using the corresponding operation data of the M network Predicted load of a cell in the first period；

Adjustment unit 53, for determining the M net according to the predicted load and preset load balancing Each cell and the adjusting parameter of Target cell in network；

Transmission unit 54, it is corresponding for the adjusting parameter of each cell and its corresponding Target cell to be sent to Second network equipment, second network equipment for controlling each cell are adjusted according to the Target cell and adjusting parameter, and And second network equipment of control each Target cell is adjusted according to adjusting parameter.

The present embodiment network equipment can be an equipment being separately provided, and connect between OMC；Alternatively, described The network equipment can be OMC, can be for an independent unit is arranged in OMC, dedicated for executing this programme.

The computing unit 52 includes:

Subelement 521 is extracted, for extracting the corresponding operation data of each cell respectively；From the corresponding operation of the cell In data, the traffic statistics of three set periods are extracted；

Computation subunit 522 predicts the cell for the traffic statistics using three set periods Predicted load in one period.

The computation subunit 522, specifically for calculating the variance of traffic statistics in the first set period, when described When variance is greater than pre-determined threshold, predicted load of the cell in the first period is predicted using the first predictor formula；Work as institute When stating variance no more than pre-determined threshold, predicted load of the cell in the first period is predicted using the second predictor formula.

The adjustment unit 53 includes:

Determine subelement 531, for choosing a cell from each cell one by one as first community, extracts institute State the predicted load of first community；Judge whether the predicted load of the first community is greater than preset load-threshold value；

Adjusting parameter determines subelement 532, is greater than preset load door for the predicted load when the first community When limit value, the type of the first community is judged according to the cell attribute parameter in the cell parameter of the first community, works as institute When to state first community be LTE cell, according to preset first selection sequence, alien frequencies neighboring community, LTE system out of LTE system It is the first community selection target cell, and determine first in interior homogeneous frequency adjacent area, TD-SCDMA system in neighboring community The adjusting parameter of cell and its corresponding Target cell；When the first community is TD-SCDMA cell, according to preset the Two selections sequence is selected from neighboring community in TD-SCDMA system and gsm system in neighboring community for the first community Target cell, and determine the adjusting parameter of first community and its corresponding Target cell；When the first community is GSM cell When, from gsm system in neighboring community, being the first community selection target cell, and determine first community and its corresponding The adjusting parameter of Target cell.

Below for above-mentioned according to the predicted load, according to the predicted load and preset load balancing plan Slightly, determine that each cell and the adjusting parameter of Target cell provide a specific implementation scene in the M network, comprising:

When the predicted load of the first community is greater than preset load-threshold value, wherein the load-threshold value It can be set separately according to heterogeneous networks different community；

The type that the first community is judged according to the cell attribute parameter in the cell parameter of the first community, works as institute State first community be LTE cell when, judge the first community with the presence or absence of low-load LTE system in iso-frequency adjacent community, if Have, then selects the alien-frequency district LTE as Target cell, determine the cell parameter and the Target cell of the Target cell Adjusting parameter, the adjusting parameter of the first community, end processing process；Otherwise, it is determined whether there are the LTE systems of low-load Co-frequency neighbor cell in uniting, if so, then select the co-frequency cell LTE as Target cell, determine the Target cell cell parameter, And adjusting parameter, the adjusting parameter of the first community of the Target cell, end processing process；Otherwise, it is determined whether There are neighboring communities in the TD-SCDMA system of low-load, if so, then selecting TD-SCDMA cell as Target cell, determine institute The cell parameter of Target cell and the adjusting parameter of the Target cell, the adjusting parameter of the first community are stated, at end Manage process；Otherwise, when there is no neighboring community or adjacent cell load too high in TD-SCDMA system, do not have load balancing condition When, trial will load to gsm system cell and carry out equilibrium；In view of the difference of LTE system and gsm system bearing capacity, LTE system System high load cell will not attempt to carry out load balancing to gsm system cell, and prompt to carry out load balancing without suitable cell, End processing process.

When the first community is TD-SCDMA cell, judge whether there is adjacent in the TD-SCDMA system of low-load Cell determines the cell parameter of the Target cell and described if so, then select TD-SCDMA cell as Target cell The adjusting parameter of the adjusting parameter of Target cell, the first community, ends processing process；Otherwise, it is determined whether there are low negative Adjacent cell in the gsm system of load determines the cell ginseng of the Target cell if so, then selecting GSM cell as Target cell Adjusting parameter, the adjusting parameter of the first community of the several and described Target cell, end processing process；Otherwise, nothing is prompted Suitable cell carries out load balancing；

When the first community is GSM cell, adjacent cell in the gsm system of low-load is judged whether there is, if so, then It selects GSM cell as Target cell, determines the cell parameter of the Target cell and the adjustment ginseng of the Target cell The adjusting parameter of several, the described first community, ends processing process；Otherwise, prompt carries out load balancing without suitable cell.

Preferably, the adjusting parameter determines subelement, is specifically used for according in the corresponding operation data of the M network Cell parameter, determine the corresponding n neighboring community of first community；Using base station basic data, it is small to be calculated described first The area coverage in area, and the area coverage with n neighboring community of the first community is calculated, it is a adjacent to calculate separately n Area ratio between cell and the first community；Load prediction of each cell in the first period from the M network In value, predicted load of the n neighboring community in the first period is extracted；The n neighboring community is calculated at first Predicted load in section, the ratio between preset small domain tyeory total traffic T obtain n phase described in the first period The traffic idle ratio of adjacent cell；Using between n neighboring community and the first community area ratio and the n it is adjacent small The corresponding load balancing index in the n neighboring community is calculated in the traffic idle ratio in area；From the n neighboring community The maximum cell of load balancing index is chosen as Target cell.

Preferably, the cell that above-mentioned adjustment unit can be also used for carrying out this parameter adjustment is marked；Second In period, the predicted value that meets for the cell being marked is checked, when inspection result is predicted load lower than negative Threshold value is carried, then deletes its label.

Adjusting parameter may include: switching, reselecting parameters, and each cell by the user terminal in range to While external migration, postpone the time for switching to source cell of the user terminal of the Target cell.Preferably, described each small The adjusting parameter of area and Target cell can also include: to adjust the power configuration of each cell, so that the function of each cell Rate promotes designated value；And the power configuration of the Target cell of adjustment each cell, so that the power of the Target cell Reduce designated value.

Preferably, the transmission unit 54, specifically for passing through the adjusting parameter of each cell and Target cell OMC is sent to corresponding second network equipment；Wherein, second network equipment can be eNB, RNC, BSC.

Preferably, the adjusting parameter determines that subelement can be also used for instruction execution feelings in feedback process implementation process Condition reports cell, the areas of congestion that cannot be adjusted, so as to the subsequent carry out artificial optimization of maintenance personnel.

Preferably, aforesaid operations can be executed periodically, for example, whole day can be divided into 6 periods, each period It is 2 hours；

Alternatively, aforesaid operations can also be to start execution, for example, load daily is most by statistics at the appointed time The big period is 10-16 point, then can specify start to execute at daily 10 points it is primary, 12 points execute it is primary, 14 points hold Row is primary, 16 points execute again primary, remaining time on the same day can not execute, i.e., without using the present invention.

Using above scheme provided in this embodiment, the operation data of M network can be obtained, M network is calculated In each cell predicted load, determine each cell and its corresponding mesh further according to the predicted load of each cell The adjusting parameter of cell is marked, to realize the adjustment to each cell and its corresponding Target cell.As it can be seen that using the above scheme The operation data that multiple networks can be obtained effectively achieves the effect of multiple network cooperating development, avoid " busy net is busy dead, Spare time net is not busy dead " the case where occur, improve network resource utilization.

Example IV,

The embodiment of the invention provides a kind of network equipments, as shown in Figure 6, comprising:

Communication unit 61, for the corresponding Target cell of each cell and adjusting parameter for receiving self-management；

Processing unit 62 is adjusted for controlling each cell according to the Target cell and adjusting parameter.

The present embodiment can be applied to second network equipment, for example, RNC, BSC etc..

Preferably, the communication unit 61, is also used to acquire operation data, network where the operation data is sent to OMC；Wherein, the operation data may include: traffic statistics, cell parameter, base station basic data；

Embodiment five,

A kind of SiteServer LBS is present embodiments provided, as shown in fig. 7, the system comprises:

First network equipment 71, for obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1；Benefit With the corresponding operation data of the M network, it is pre- that load of each cell in the first period in the M network is calculated Measured value；According to the predicted load and preset load balancing, each cell and target in the M network are determined The adjusting parameter of each cell and its corresponding Target cell is sent to corresponding second network by the adjusting parameter of cell Equipment；

Second network equipment 72, for receiving the corresponding Target cell of each cell and adjusting parameter of self-management； Each cell is controlled to be adjusted according to the Target cell and adjusting parameter.

Above-mentioned first network equipment, comprising:

The present embodiment network equipment can be an equipment being separately provided, and connect between OMC.

The computing unit includes:

The computation subunit, specifically for calculating the variance of traffic statistics in the first set period, as the side When difference is greater than pre-determined threshold, predicted load of the cell in the first period is predicted using the first predictor formula；When described When variance is not more than pre-determined threshold, predicted load of the cell in the first period is predicted using the second predictor formula.

The adjustment unit includes:

Adjusting parameter determines subelement, is greater than preset load-threshold value for the predicted load when the first community When, the type of the first community is judged according to the cell attribute parameter in the cell parameter of the first community, when described When one cell is LTE cell, according to preset first selection sequence, the alien frequencies neighboring community, same in LTE system out of LTE system It is the first community selection target cell, and determine first community in frequency adjacent area, TD-SCDMA system in neighboring community And its adjusting parameter of corresponding Target cell；When the first community is TD-SCDMA cell, according to preset second choosing Sequence is taken, from neighboring community in TD-SCDMA system and gsm system in neighboring community, being the first community selection target Cell, and determine the adjusting parameter of first community and its corresponding Target cell；When the first community is GSM cell, from It is the first community selection target cell in gsm system in neighboring community, and determines that first community and its corresponding target are small The adjusting parameter in area.

Preferably, the cell that adjustment unit is also used to carry out this parameter adjustment is marked；It is right within the second period The predicted value that meets for the cell being marked checked, when inspection result is that predicted load is lower than load-threshold value, Then delete its label.

Preferably, the transmission unit, specifically for the adjusting parameter of each cell and Target cell is passed through OMC It is sent to corresponding second network equipment；Wherein, second network equipment can be eNB, RNC, BSC.

Second network equipment, comprising:

Preferably, the communication unit is also used to acquire operation data, network where the operation data is sent to OMC；Wherein, the operation data may include: traffic statistics, cell parameter, base station basic data；

A kind of networking embodiment that the present invention is implemented, can be as shown in figure 8, wherein first network equipment and multiple OMC Connection, extracts operation data from the multiple OMC；Second network equipment can be BSC, RNC or eNB, be used for from OMC The adjusting parameter that the first network equipment is sent is received, finally, the multiple cells managed itself are adjusted.

Using above scheme provided in this embodiment, the operation data of M network can be obtained, M network is calculated In each cell predicted load, determine each cell and its corresponding mesh further according to the predicted load of each cell The adjusting parameter of cell is marked, to realize the adjustment to each cell and its corresponding Target cell.As it can be seen that using the above scheme The operation data that multiple networks can be obtained effectively achieves the effect of multiple network cooperating development, avoid " busy net is busy dead, Spare time net is not busy dead " the case where occur, improve network resource utilization.Meanwhile can also effectively save manpower maintenance cost, keep away simultaneously Exempt from the maloperation being likely to occur during manual operation, improves the validity and reliability of load balance optimization.

If the module integrated described in the embodiment of the present invention is realized in the form of software function module and as independent production Product when selling or using, also can store in a computer readable storage medium.Based on this understanding, the present invention is real Applying the technical solution of example, substantially the part that contributes to existing technology can embody in the form of software products in other words Come, which is stored in a storage medium, including some instructions are used so that a computer equipment (can To be personal computer, server or network equipment etc.) execute the whole or portion of each embodiment the method for the present invention Point.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), deposits at random The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic or disk. It is combined in this way, the embodiment of the present invention is not limited to any specific hardware and software.

Correspondingly, the embodiment of the present invention also provides a kind of computer storage medium, wherein it is stored with computer program, the meter Calculation machine program is used to execute the method in the client cell switching of the embodiment of the present invention with WLAN interoperability decision.

The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.

Claims

1. a kind of load-balancing method, which is characterized in that the described method includes:

Using the corresponding operation data of the M network, each cell is calculated in the M network in the first period Predicted load；

According to the predicted load and preset load balancing, each cell and target in the M network are determined The adjusting parameter of each cell and its corresponding Target cell is sent to corresponding second network by the adjusting parameter of cell Equipment, second network equipment for controlling each cell is adjusted according to the Target cell and adjusting parameter, and controls institute Second network equipment for stating each Target cell is adjusted according to adjusting parameter；Wherein, the adjusting parameter include: switching, Reselecting parameters, and user terminal in the range of each cell is by each cell postpone the mesh to when external migration Mark the time for switching to source cell of the user terminal of cell.

2. the method according to claim 1, wherein described utilize the corresponding operation data of the M network, meter Calculation obtains predicted load of each cell in the first period in the M network, comprising:

The corresponding operation data of each cell is extracted respectively；

Using the traffic statistics of three set periods, predicted load of the cell in the first period is predicted.

3. the method according to claim 1, wherein described according to the predicted load and preset load Balance policy determines each cell and the adjusting parameter of Target cell in the M network, comprising:

A cell is chosen from each cell one by one as first community, extracts the load prediction of the first community Value；

The type that the first community is judged according to the cell attribute parameter in the cell parameter of the first community, when described When one cell is long term evolution LTE cell, according to preset first selection sequence, alien frequencies neighboring community, LTE out of LTE system Homogeneous frequency adjacent area in system in TD SDMA TD-SCDMA system in neighboring community, is selected for the first community Target cell is selected, and determines the adjusting parameter of first community and its corresponding Target cell；

When the first community is TD-SCDMA cell, according to preset second selection sequence, the phase out of TD-SCDMA system It is the first community selection target cell, and really in adjacent cell and global system for mobile communications gsm system in neighboring community Determine the adjusting parameter of first community and its corresponding Target cell；

When the first community is GSM cell, from gsm system in neighboring community, being that the first community selection target is small Area, and determine the adjusting parameter of first community and its corresponding Target cell.

4. according to the method described in claim 3, it is characterized in that, the selection target cell, comprising:

According to the cell parameter in the corresponding operation data of the M network, the corresponding n neighboring community of first community, n are determined For the positive integer more than or equal to 1；

Using base station basic data, the area coverage of the first community is calculated, and is calculated and the first community N neighboring community area coverage, calculate separately the area ratio between n neighboring community and the first community；

Each cell extracts the n neighboring community in the predicted load in the first period from the M network Predicted load in one period；

Predicted load of the n neighboring community in the first period is calculated, between preset small domain tyeory total traffic T Ratio, obtain the traffic idle ratio of n neighboring community described in the first period；

Using the traffic idle ratio of area ratio and the n neighboring community between n neighboring community and the first community, The corresponding load balancing index in the n neighboring community is calculated；

5. a kind of load-balancing method is applied to second network equipment, which is characterized in that the described method includes:

Receive the corresponding Target cell of each cell and adjusting parameter of self-management；Wherein, the adjusting parameter includes: to cut It changes, reselecting parameters, and user terminal in the range of each cell is by each cell is to when external migration, described in delay The time for switching to source cell of the user terminal of Target cell；

6. a kind of network equipment, which is characterized in that the network equipment includes:

Computing unit, for each cell in the M network to be calculated using the corresponding operation data of the M network Predicted load in the first period；

Adjustment unit, it is each in the M network for determining according to the predicted load and preset load balancing The adjusting parameter of a cell and Target cell；Wherein, the adjusting parameter includes: switching, reselecting parameters, and described each User terminal in the range of each cell to when external migration, is postponed switching to for the user terminal of the Target cell by cell The time of source cell；

Transmission unit, for the adjusting parameter of each cell and its corresponding Target cell to be sent to corresponding second net Network equipment, second network equipment for controlling each cell is adjusted according to the Target cell and adjusting parameter, and is controlled Second network equipment of each Target cell is adjusted according to adjusting parameter.

7. the network equipment according to claim 6, which is characterized in that the computing unit includes:

Subelement is extracted, for extracting the corresponding operation data of each cell respectively；From the corresponding operation data of the cell, Extract the traffic statistics of three set periods；

Computation subunit predicts the cell in the first period for the traffic statistics using three set periods In predicted load.

8. the network equipment according to claim 6, which is characterized in that the adjustment unit includes:

Determine subelement, for choosing a cell from each cell one by one as first community, extracts described first The predicted load of cell；Judge whether the predicted load of the first community is greater than preset load-threshold value；

Adjusting parameter determines subelement, for when the predicted load of the first community be greater than preset load-threshold value when, The type that the first community is judged according to the cell attribute parameter in the cell parameter of the first community, when described first small When area is LTE cell, according to preset first selection sequence, out of LTE system alien frequencies neighboring community, in LTE system with frequency phase In adjacent cell, TD-SCDMA system in neighboring community, be the first community selection target cell, and determine first community and its The adjusting parameter of corresponding Target cell；When the first community is TD-SCDMA cell, chosen according to preset second suitable Sequence, from neighboring community in TD-SCDMA system and gsm system in neighboring community, being that the first community selection target is small Area, and determine the adjusting parameter of first community and its corresponding Target cell；When the first community is GSM cell, from GSM It is the first community selection target cell, and determine first community and its corresponding Target cell in intra-system neighbor cells Adjusting parameter.

9. the network equipment according to claim 8, which is characterized in that

The adjusting parameter determines subelement, specifically for according to the cell parameter in the corresponding operation data of the M network, Determine the corresponding n neighboring community of first community；Using base station basic data, the covering surface of the first community is calculated Product, and is calculated the area coverage with n neighboring community of the first community, calculate separately n neighboring community with it is described Area ratio between first community；Each cell extracts institute in the predicted load in the first period from the M network State predicted load of the n neighboring community in the first period；It is pre- to calculate load of the n neighboring community in the first period Ratio between measured value, with preset small domain tyeory total traffic T, obtains the traffic of n neighboring community described in the first period Idle ratio；It is idle using the traffic of area ratio and the n neighboring community between n neighboring community and the first community Than the corresponding load balancing index in the n neighboring community is calculated；Load balancing is chosen from the n neighboring community For the maximum cell of index as Target cell, n is the positive integer more than or equal to 1.

10. a kind of network equipment, which is characterized in that the network equipment includes:

Communication unit, for receiving the corresponding Target cell of each cell and adjusting parameter of self-management；Wherein, the tune Whole parameter includes: switching, reselecting parameters, and user terminal in the range of each cell is by each cell is to moving outside When shifting, postpone the time for switching to source cell of the user terminal of the Target cell；

11. a kind of SiteServer LBS, which is characterized in that the system comprises:

First network equipment, for obtaining the corresponding operation data of M network, M is the positive integer more than or equal to 1；Utilize the M The corresponding operation data of a network, is calculated predicted load of each cell in the first period in the M network；Root According to the predicted load and preset load balancing, each cell and Target cell in the M network are determined The adjusting parameter of each cell and its corresponding Target cell is sent to corresponding second network equipment by adjusting parameter； Wherein, the adjusting parameter includes: switching, reselecting parameters, and use in the range of each cell is by each cell Family terminal is to the time for switching to source cell for when external migration, postponing the user terminal of the Target cell；

Second network equipment, for receiving the corresponding Target cell of each cell and adjusting parameter of self-management.