CN104080114A - Method and device of optimizing switchover performance in static simulation platform - Google Patents
Method and device of optimizing switchover performance in static simulation platform Download PDFInfo
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Abstract
An embodiment of the invention discloses a method and a device of optimizing switchover performance in a static simulation platform, relating to the field of wireless communication for improving the optimization efficiency of the switchover performance. According to the method and the device, a switching band increment distance value, which needs to extend, of a serving cell is determined according to switchover-related parameters and a user moving condition, a signal power increment value is determined according to the switching band increment distance value and a road damage formula, and the switchover performance of the serving cell is optimized according to the signal power increment value. In comparison with an automatic optimization process of the switchover parameters in the prior art, through the scheme, the time required for optimization of the switchover performance is reduced, and the optimization efficiency of the switchover performance is improved.
Description
Technical field
The present invention relates to wireless communication field, relate in particular to performance of handoffs optimization method and device in a kind of STATIC SIMULATION platform.
Background technology
The proposition of self-optimizing network (SON) technology is flattening and the flexibility in order better to adapt to network configuration, and minimizing operator carries out the cost of labor of Operation and Maintenance to network.(the 3rd Generation Partnership Project of 3G (Third Generation) Moblie standardization body, 3GPP) be organized in the multiple use cases (Use Case) that defined SON in 36.902 agreements, may be summarized to be aspect of network self-configuration and self-optimizing two classes, comprise Physical Cell Identifier (PCI) self-configuring, automatically face cell relation (Automatic Neighbour Relation, ANR) function, mobile robustness optimization (Mobile Robustness Optimization, MRO), mobility load balance optimization (MLB) etc.
The target of MRO is dynamically to improve network performance of handoffs, pingpang handoff (the Handover that avoids inappropriate parameter setting to cause, HO), HO failure and Radio Link Failure (Radio Link Failure, RLF), and reduce the waste that user experiences and Internet resources are caused.By assessment RLF and the unnecessary switching of minimizing, automatically adjust handoff boundary parameter, thus the artificial workload in reducing network management and optimizing.
Discussion to MRO use-case in standard, first analyzes various scene and the reasons that may occur handoff failure, then analyzes the solution of avoiding handoff failure, finally how discusses by completing alternately the amendment of parameter between signaling.In 36.300 agreements, introduce following three kinds of scenes that the unreasonable improper switching causing is set due to intra-LTE mobility parameters:
First, spending evening switches: RLF has occurred in cell-of-origin before switching initialization or in handoff procedure, user terminal (User Equipment, UE) is just being attempted rebuilding wireless link (Radio Link, RL) with Target cell and is being connected or do not initiate to switch UE in non-cell-of-origin after initiating to switch.
The second, switch too early: the switching from cell-of-origin to Target cell has just completed or RLF has occurred in handoff procedure, and UE attempts rebuilding in cell-of-origin RL and connects.
The 3rd, be switched to wrong cell: the switching from cell-of-origin to Target cell just completed or handoff procedure in there is RLF, UE attempts other districts beyond cell-of-origin and Target cell and rebuilds RL and be connected.
MRO process is by the long-term statistics to the above three kinds of switching problem scenes of all users in existing network, automatically adjust corresponding handoff parameter, mainly the personalized skew in community (Cell Individual Offset, CIO), triggered time (Time-To-trigger, TTT), A3 event offset (A3Event Offset) and hysteresis (Hysteresis).Finally reach the object of Automatic Optimal network.
Whether to sum up, the handoff parameter Automatic Optimal flow process of discussing in existing standard, needs network side long-time, adds up in a large number key performance instruction (KPI) index of switching problem and network, also need long-time detection to adjust reasonable after adjustment parameter.Detect the overlong time of adjusting and optimizing, be not suitable for system simulation platform and realize this function.
Summary of the invention
The embodiment of the present invention provides performance of handoffs optimization method and the device in a kind of STATIC SIMULATION platform, for improving performance of handoffs optimization efficiency.
A performance of handoffs optimization method in STATIC SIMULATION platform, the method comprises:
According to pre-configured switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell;
Determine signal power increment size according to described switching band distance of increment value and path loss formula;
According to described signal power increment size, the performance of handoffs of Serving cell is optimized.
A performance of handoffs optimization device in STATIC SIMULATION platform, this device comprises:
Switch band increment determining unit, for according to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell;
Power increment determining unit, for determining signal power increment size according to described switching band distance of increment value and path loss formula;
Performance optimization unit, for being optimized the performance of handoffs of Serving cell according to described signal power increment size.
In the scheme that the embodiment of the present invention provides, according to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell, determine signal power increment size according to switching band distance of increment value and path loss formula, according to signal power increment size, the performance of handoffs of Serving cell is optimized.Compared with handoff parameter Automatic Optimal flow process of the prior art, this programme does not need network side a large amount of KPI indexs of adding up switching problems and network for a long time, optimizes the needed time thereby shortened performance of handoffs, has improved performance of handoffs optimization efficiency.
Brief description of the drawings
The method flow schematic diagram that Fig. 1 provides for the embodiment of the present invention;
Fig. 2 A is that the switching band in the embodiment of the present invention changes schematic diagram;
Fig. 2 B is the performance of handoffs Optimizing Flow schematic diagram in the embodiment of the present invention;
The apparatus structure schematic diagram that Fig. 3 provides for the embodiment of the present invention.
Embodiment
In order to improve the performance of handoffs optimization efficiency in system simulation platform, the embodiment of the present invention provides a kind of performance of handoffs optimization method of STATIC SIMULATION platform.
Referring to Fig. 1, the performance of handoffs optimization method in the STATIC SIMULATION platform that the embodiment of the present invention provides, comprises the following steps:
Step 10: according to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell;
Concrete, can, according to the value of pre-configured triggered time (TimeToTrigger, TTT) parameter, hand off signaling time delay (HOD) parameter and user velocity (UESpeed) parameter, determine the switching band distance of increment value that need to extend Serving cell.The implication of each parameter is as follows:
TTT: UE records neighboring cell signal quality higher than local area, and after the lasting TTT time, UE reports this measurement event to network side.
HOD:UE in the time that cell boarder moves, UE record local area signal quality and neighboring cell signal quality differ respectively a dB and-a dB, be with for switching in the region while differing a dB and differ-a dB between UE position point.Because network signal exists time delay, and UE moves and increases UE time of completing switching, and HOD is exactly the processing delay that moves the hand off signaling bringing due to UE so.
Step 11: determine signal power increment size according to switching band distance of increment value and path loss formula;
Here, path loss is by communication environments, and the factors such as terminal base station spacing and height determine.The path loss formula difference that different propagation models is corresponding, for example, in the situation that other factors are definite, path loss formula can be reduced to: L=a+b*logd, wherein, a is intercept, and b is slope, and d is the distance between terminal and base station.A and b are the known parameters that can be determined by other factors, relevant with the increment factor of propagation model type to height, the effective depth of antenna for base station, propagation loss, the height factors of terminal antenna on the relative ground of terminal.
Step 12: the performance of handoffs of Serving cell is optimized according to signal power increment size.
Concrete, in step 10, according to the value of pre-configured TTT parameter, HOD parameter and UESpeed parameter, determine the switching band distance of increment value that need to extend Serving cell, specific implementation can be as follows:
Determine the switching band distance of increment value Δ Dis that need to extend Serving cell according to following formula:
ΔDis=TTT*UESpeed+HOD*UESpeed。
Concrete, in step 11, according to signal power increment size, the performance of handoffs of Serving cell being optimized, specific implementation can adopt one of following two kinds of methods:
The first, redefine the switching band of Serving cell, the region of the difference of the signal quality that this switching band is Serving cell and adjacent cell within the scope of [a, a+ Δ Signal] dB according to signal power increment size; Wherein, a is pre-configured for characterizing the signal quality amount of hysteresis of switching band of Serving cell, and Δ signal is signal power increment size;
According to the switching band of the Serving cell redefining, terminal is carried out and switched, the difference that records adjacent area and local area signal quality as UE is when [a, a+ Δ Signal], and after the lasting TTT time, UE reports this measurement event to network side.Networking side is carried out corresponding switch decision process, thereby this UE is carried out to handover operation.
The second, according to signal power increment size, the downstream signal transmitting power of Serving cell is heightened, heighten a numerical value by the downstream signal transmitting power of Serving cell, this numerical value equals this signal power increment size.
Preferably, after the performance of handoffs of Serving cell being optimized according to signal power increment size, can determine the handover success rate of Serving cell; Judge whether this handover success rate reaches predefined target success rate, in the time judging miss the mark success rate, re-execute step 10-step 12, also: according to the value of TTT parameter, HOD parameter and UESpeed parameter, redefine the switching band distance of increment value that need to extend Serving cell; Redefine signal power increment size according to the switching band distance of increment value and the path loss formula that redefine; Again the performance of handoffs of Serving cell is optimized according to the signal power increment size redefining.
Concrete, determine the handover success rate of Serving cell, specific implementation can be as follows:
First, determine that centre coordinate taking grid under Serving cell is as the center of circle, with Δ D
hODfor the optional switching target grid in the scope of radius and total number of grid; Wherein, Δ D
hOD=HOD*UESpeed; Here, can in advance whole geographic area be divided into multiple foursquare grids, be also that grid is the subregion after whole geographic area is divided;
Then,, for each grid, determine whether the signal quality of this grid is greater than predefined demodulation threshold value; Here, the parameter of characterization signal quality can be Reference Signal Received Power (Reference signal received power, RSRP) or Reference Signal Received Quality (Reference Signal Received Quality, RSRQ); Demodulation threshold value is to be greater than 0 numerical value.
Then, statistical signal quality is greater than the number of the optional switching target grid of this demodulation threshold value;
Finally, be greater than the number of the optional switching target grid of this demodulation threshold value according to total number of grid and signal quality, determine the handover success rate of Serving cell.Concrete, the handover success rate of Serving cell equals signal quality and is greater than the number of optional switching target grid of this demodulation threshold value and the ratio of total number of grid.
With specific embodiment, the present invention will be described below:
When STATIC SIMULATION, may due to initial power arrange unreasonable so that the static system that simulates switch be with improper, thereby cause STATIC SIMULATION performance of handoffs very poor, STATIC SIMULATION handover success rate is low.The cell-level UE parameter that the present embodiment configures by network side: TimeToTrigger, and UE movement velocity (being the movement velocity for UE configuration in system emulation), carry out respective cell and switch the adjustment of being with.
Wherein, embodiment mono-has realized according to certain UE and has adjusted and switch band, and outputting cutting tape swapping distance of increment Δ Dis value and signal power increment Delta Signal value.Embodiment bis-exports after Δ Dis at embodiment mono-, redefines the Target cell that STATIC SIMULATION UE switches, and calculates and adjust the STATIC SIMULATION handover success rate of switching after band.Embodiment tri-is that embodiment mono-exports after Δ Signal, offers the power programming module of STATIC SIMULATION platform, for power programming provides reference conditions, by adjusting the transmitting power of community, realizes equally the Automatic Optimal process of STATIC SIMULATION performance of handoffs.
Embodiment mono-: switch band optimization;
As shown in Figure 2 A, along with the movement of UE, UE reports A3 event, and UE continues movement can go out border, Serving cell, and now due to the adding of TimeToTrigger and HOD, network side is not also able to do in time UE to be switched to Target cell, causes conversation loss.Therefore, the border of Serving cell and the transmitting power of Serving cell should be considered the time delay in UE handoff procedure.
As shown in Figure 2 B, switch and be with Optimizing Flow as follows:
Step 1: according to backstage configuration " signal quality of Serving cell and neighbor cell differ Δ dB(as: ± 3dB) " principle, determine the initial switching band Area0 of Serving cell, it is initial that to switch with Area0 be the difference of signal quality of Serving cell and the adjacent cell region in [3,3] scope;
Step 2: according to the value of the parameter TTT of fixed configurations and HOD parameter, and the value of UESpeed parameter, switching band distance of increment Δ dis value (as: the Δ Dis=Δ D that need to extend according to certain regular calculation services community
tTT+ Δ D
hOD=TTT*UESpeed+HOD*UESpeed, or other computational methods);
Calculate signal power increment Delta signal value according to switching band distance of increment Δ Dis value and path loss formula;
Step 3: redefine the switching band Area1 of Serving cell, switching with Area1 is the difference of signal quality of Serving cell and the adjacent cell region in [3,3+ Δ Signal] scope.
Embodiment bis-: the statistics of handover success rate in STATIC SIMULATION;
In embodiment mono-, no matter how UE moves, increment Delta Dis is the maximum distance of having considered that UE may move, if the signal quality of Serving cell can meet this maximum distance, other situations can make not call drop of UE so; From reporting measurement event (as: A3 event), do and switch in set-up procedure, UE can mobile ultimate range be exactly Δ D
hOD, UE moving direction is uncertain, but moving range is to report centered by the point of measurement event (as A3 event), with Δ D
hODfor radius circular region, meet certain demand on signal quality (as RSRQ or RSRP) etc. all may to serve as target Zone switched.
Calculate optional Zone switched grid number, and judge respectively whether the signal quality (as RSRQ or RSRP) of optional grid is greater than demodulation threshold value, if be greater than, this optional grid can be used as target switching grid.Meet the grid number of cqi (as RSRQ or RSRP) condition by statistics, and then calculate the handover success rate of STATIC SIMULATION.As shown in Figure 2 B, specific as follows:
Step 1-step 3: with the step 1-step 3 in embodiment mono-;
Step 4: determine that centre coordinate taking grid under Serving cell is as the center of circle, with Δ D
hODfor the optional switching target grid in the scope of radius and total number of grid; Wherein, Δ D
hOD=HOD*UESpeed;
Step 5: for each grid, determine whether the signal quality of this grid is greater than predefined demodulation threshold value;
Step 6: statistical signal quality is greater than the number of the optional switching target grid of described demodulation threshold value;
Step 7: be greater than the number of the optional switching target grid of described demodulation threshold value according to total number of grid and signal quality, determine the handover success rate of Serving cell.
Embodiment tri-: optimize transmitting power;
In embodiment mono-, by the signal power increment Delta signal value calculating with distance of increment Δ dis value and path loss formula according to switching, feed back to power programming module, notice power programming module is carried out transmitting power adjustment, and then adjustment signal cover, finally can improve handover success rate index.As shown in Figure 2 B, specific as follows:
Step 1-step 2: with the step 1-step 2 in embodiment mono-, to step 8;
Step 8: Δ signal value is fed back to power programming module, and the downstream signal transmitting power of Serving cell is heightened a numerical value by power programming module, this numerical value equals this Δ signal value.
Referring to Fig. 3, the embodiment of the present invention provides the performance of handoffs optimization device in a kind of STATIC SIMULATION platform, and this device comprises:
Switch band increment determining unit 30, for according to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell;
Power increment determining unit 31, for determining signal power increment size according to described switching band distance of increment value and path loss formula;
Performance optimization unit 32, for being optimized the performance of handoffs of Serving cell according to described signal power increment size.
Further, described switching band increment determining unit 30 for: according to the value of pre-configured pre-configured TTT parameter, HOD parameter and UESpeed parameter, determine the switching band distance of increment value that need to extend Serving cell.
Specifically determine the switching band distance of increment value Δ Dis that need to extend Serving cell according to following formula:
ΔDis=TTT*UESpeed+HOD*UESpeed。
Further, described performance optimization unit 32 for:
Redefine the switching band of Serving cell according to described signal power increment size, the region of the difference of the signal quality that this switching band is Serving cell and adjacent cell within the scope of [a, a+ Δ Signal] dB; Wherein, a is pre-configured for characterizing the signal quality amount of hysteresis of switching band of Serving cell, and Δ signal is described signal power increment size;
According to the switching band of the Serving cell redefining, terminal is carried out and switched.
Further, described performance optimization unit 32 for:
According to described signal power increment size, the downstream signal transmitting power of Serving cell is heightened.
Further, this device also comprises:
Handover success rate determining unit 33, for after the performance of handoffs of Serving cell being optimized according to described signal power increment size, determines the handover success rate of Serving cell;
Judging unit 34, for judging whether described handover success rate reaches predefined target success rate;
Described switching band increment determining unit 30 also for: in the time that the judgement of described judging unit does not reach described target success rate, according to the value of TTT parameter, HOD parameter and UESpeed parameter, redefine the switching band distance of increment value that need to extend Serving cell;
Described power increment determining unit 31 also for: redefine signal power increment size according to the switching band distance of increment value and the path loss formula that redefine;
Described performance optimization unit 32 also for: again the performance of handoffs of Serving cell is optimized according to the signal power increment size redefining.
Further, described success rate determining unit 33 for:
Determine that centre coordinate taking grid under Serving cell is as the center of circle, with Δ D
hODfor the optional switching target grid in the scope of radius and total number of grid; Wherein, Δ D
hOD=HOD*UESpeed;
For each grid, determine whether the signal quality of this grid is greater than predefined demodulation threshold value;
Statistical signal quality is greater than the number of the optional switching target grid of described demodulation threshold value;
Be greater than the number of the optional switching target grid of described demodulation threshold value according to total number of grid and signal quality, determine the handover success rate of Serving cell.
To sum up, beneficial effect of the present invention comprises:
In the scheme that the embodiment of the present invention provides, according to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell, determine signal power increment size according to switching band distance of increment value and path loss formula, according to signal power increment size, the performance of handoffs of Serving cell is optimized.Compared with handoff parameter Automatic Optimal flow process of the prior art, this programme does not need network side a large amount of KPI indexs of adding up switching problems and network for a long time, optimizes the needed time thereby shortened performance of handoffs, has improved performance of handoffs optimization efficiency.
The present invention is with reference to describing according to flow chart and/or the block diagram of the method for the embodiment of the present invention, equipment (system) and computer program.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or the combination of square frame.Can provide these computer program instructions to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, the instruction that makes to carry out by the processor of computer or other programmable data processing device produces the device for realizing the function of specifying at flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, the instruction that makes to be stored in this computer-readable memory produces the manufacture that comprises command device, and this command device is realized the function of specifying in flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make to carry out sequence of operations step to produce computer implemented processing on computer or other programmable devices, thereby the instruction of carrying out is provided for realizing the step of the function of specifying in flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame on computer or other programmable devices.
Although described the preferred embodiments of the present invention, once those skilled in the art obtain the basic creative concept of cicada, can make other change and amendment to these embodiment.So claims are intended to be interpreted as comprising preferred embodiment and fall into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if these amendments of the present invention and within modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.
Claims (12)
1. the performance of handoffs optimization method in STATIC SIMULATION platform, is characterized in that, the method comprises:
According to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell;
Determine signal power increment size according to described switching band distance of increment value and path loss formula;
According to described signal power increment size, the performance of handoffs of Serving cell is optimized.
2. the method for claim 1, is characterized in that, described according to switching-related parameters and user's situation of movement, determines the switching band distance of increment value that need to extend Serving cell, specifically comprises:
According to the value of pre-configured pre-configured triggered time TTT parameter, hand off signaling time delay HOD parameter and user velocity UESpeed parameter, determine the switching band distance of increment value that need to extend Serving cell.
3. the method for claim 1, is characterized in that, describedly according to described signal power increment size, the performance of handoffs of Serving cell is optimized, and specifically comprises:
Redefine the switching band of Serving cell according to described signal power increment size, the region of the difference of the signal quality that this switching band is Serving cell and adjacent cell within the scope of [a, a+ Δ Signal] dB; Wherein, a is pre-configured for characterizing the signal quality amount of hysteresis of switching band of Serving cell, and Δ signal is described signal power increment size;
According to the switching band of the Serving cell redefining, terminal is carried out and switched.
4. the method for claim 1, is characterized in that, describedly according to described signal power increment size, the performance of handoffs of Serving cell is optimized, and specifically comprises:
According to described signal power increment size, the downstream signal transmitting power of Serving cell is heightened.
5. the method for claim 1, is characterized in that, after the performance of handoffs of Serving cell being optimized according to described signal power increment size, further comprises:
Determine the handover success rate of Serving cell;
Judge whether described handover success rate reaches predefined target success rate, in the time that judgement does not reach described target success rate, according to the value of TTT parameter, HOD parameter and UESpeed parameter, redefine the switching band distance of increment value that need to extend Serving cell; Redefine signal power increment size according to the switching band distance of increment value and the path loss formula that redefine; Again the performance of handoffs of Serving cell is optimized according to the signal power increment size redefining.
6. method as claimed in claim 5, is characterized in that, the handover success rate of described definite Serving cell, specifically comprises:
Determine that centre coordinate taking grid under Serving cell is as the center of circle, with Δ D
hODfor the optional switching target grid in the scope of radius and total number of grid; Wherein, Δ D
hOD=HOD*UESpeed;
For each grid, determine whether the signal quality of this grid is greater than predefined demodulation threshold value;
Statistical signal quality is greater than the number of the optional switching target grid of described demodulation threshold value;
Be greater than the number of the optional switching target grid of described demodulation threshold value according to total number of grid and signal quality, determine the handover success rate of Serving cell.
7. the performance of handoffs optimization device in STATIC SIMULATION platform, is characterized in that, this device comprises:
Switch band increment determining unit, for according to switching-related parameters and user's situation of movement, determine the switching band distance of increment value that need to extend Serving cell;
Power increment determining unit, for determining signal power increment size according to described switching band distance of increment value and path loss formula;
Performance optimization unit, for being optimized the performance of handoffs of Serving cell according to described signal power increment size.
8. device as claimed in claim 7, is characterized in that, described switching band increment determining unit is used for:
According to the value of pre-configured pre-configured triggered time TTT parameter, hand off signaling time delay HOD parameter and user velocity UESpeed parameter, determine the switching band distance of increment value that need to extend Serving cell.
9. device as claimed in claim 7, is characterized in that, described performance optimization unit is used for:
Redefine the switching band of Serving cell according to described signal power increment size, the region of the difference of the signal quality that this switching band is Serving cell and adjacent cell within the scope of [a, a+ Δ Signal] dB; Wherein, a is pre-configured for characterizing the signal quality amount of hysteresis of switching band of Serving cell, and Δ signal is described signal power increment size;
According to the switching band of the Serving cell redefining, terminal is carried out and switched.
10. device as claimed in claim 7, is characterized in that, described performance optimization unit is used for:
According to described signal power increment size, the downstream signal transmitting power of Serving cell is heightened.
11. devices as claimed in claim 7, is characterized in that, this device also comprises:
Handover success rate determining unit, for after the performance of handoffs of Serving cell being optimized according to described signal power increment size, determines the handover success rate of Serving cell;
Judging unit, for judging whether described handover success rate reaches predefined target success rate;
Described switching band increment determining unit also for: in the time that the judgement of described judging unit does not reach described target success rate, according to the value of TTT parameter, HOD parameter and UESpeed parameter, redefine the switching band distance of increment value that need to extend Serving cell;
Described power increment determining unit also for: redefine signal power increment size according to the switching band distance of increment value and the path loss formula that redefine;
Described performance optimization unit also for: again the performance of handoffs of Serving cell is optimized according to the signal power increment size redefining.
12. devices as claimed in claim 11, is characterized in that, described success rate determining unit is used for:
Determine that centre coordinate taking grid under Serving cell is as the center of circle, with Δ D
hODfor the optional switching target grid in the scope of radius and total number of grid; Wherein, Δ D
hOD=HOD*UESpeed;
For each grid, determine whether the signal quality of this grid is greater than predefined demodulation threshold value;
Statistical signal quality is greater than the number of the optional switching target grid of described demodulation threshold value;
Be greater than the number of the optional switching target grid of described demodulation threshold value according to total number of grid and signal quality, determine the handover success rate of Serving cell.
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