Performance of handoffs optimization method and device in STATIC SIMULATION platform
Technical field
The present invention relates to the performance of handoffs optimization method in wireless communication field, more particularly to a kind of STATIC SIMULATION platform and
Device.
Background technology
The flattening and flexibility that are proposed to preferably adapt to network structure of self-optimizing network (SON) technology, subtract
Few operator carries out the cost of labor of Operation and Maintenance to network.3G (Third Generation) Moblie standardization body (3rd Generation
Partnership Project, 3GPP) SON multiple use cases (Use Case) have been organized in defined in 36.902 agreements,
It may be summarized to be aspect of network self-configuration and the class of self-optimizing two, including Physical Cell Identifier (PCI) self-configuring, face cell relation automatically
(Automatic Neighbour Relation, ANR) function, mobile robustness optimization (Mobile Robustness
Optimization, MRO), mobility load balance optimization (MLB) etc..
MRO target is that dynamic improves network switching performance, it is to avoid pingpang handoff caused by inappropriate parameter setting
(Handover, HO), HO failure and Radio Link Failure (Radio Link Failure, RLF), and reduce Consumer's Experience and
The waste that Internet resources are caused.By assessing RLF and reducing unnecessary switching, carry out adjust automatically handoff boundary parameter, from
And reduce the artificial workload in network management and optimization.
To the discussion of MRO use-cases in standard, the various scenes and reason for being likely to occur handoff failure, Ran Houfen are analyzed first
Analysis avoids the solution of handoff failure, and the modification that parameter how is completed by interaction between signaling is finally discussed.36.300 agreements
In describe due to intra-LTE mobility parameters set it is unreasonable caused by improper switching following three kinds of scenes:
First, switch too late:Cell-of-origin has occurred and that RLF, user terminal (User before switching initialization or in handoff procedure
Equipment, UE) initiate just attempting to rebuild Radio Link (Radio Link, RL) connection with Target cell after switching or do not have
There is initiation switching UE to be in non-cell-of-origin.
Second, switching too early:Switching from cell-of-origin to Target cell is just completed or there occurs in handoff procedure
RLF, UE attempt to rebuild RL connections in cell-of-origin.
3rd, it is switched to wrong cell:Switching from cell-of-origin to Target cell just completed or handoff procedure in occur
Other areas that RLF, UE attempt beyond cell-of-origin and Target cell rebuild RL connections.
MRO processes are automatic to adjust by for a long time to the statistics of all user's three of the above switching problem scenes in existing network
Whole corresponding handoff parameter, mainly cell personalization skew (Cell Individual Offset, CIO), triggered time
(Time-To-trigger, TTT), A3 event offsets (A3Event Offset) and hysteresis (Hysteresis).It is finally reached
The purpose of Automatic Optimal network.
To sum up, the handoff parameter Automatic Optimal flow discussed in existing standard is, it is necessary to which network side long-time, a large amount of statistics are cut
The key performance for changing problem and network indicates that long-time detection is also needed to after (KPI) index, adjusting parameter to be regulateed whether rationally.
Detection adjustment and the overlong time of optimization, are not suitable for system simulation platform and realize the function.
The content of the invention
The embodiment of the present invention provides the performance of handoffs optimization method and device in a kind of STATIC SIMULATION platform, is cut for improving
Transsexual energy optimization efficiency.
A kind of performance of handoffs optimization method in STATIC SIMULATION platform, this method includes:
According to the switching-related parameters and user's situation of movement being pre-configured with, determine that serving cell needs the switching band extended
Distance of increment value;
Signal power increment size is determined according to the switching band distance of increment value and path loss formula;
The performance of handoffs of serving cell is optimized according to the signal power increment size.
A kind of performance of handoffs optimization device in STATIC SIMULATION platform, the device includes:
Switching band increment determining unit, for according to switching-related parameters and user's situation of movement, determining that serving cell is needed
The switching to be extended band distance of increment value;
Power increment determining unit, for determining that signal power increases according to the switching band distance of increment value and path loss formula
Value;
Performance optimizes unit, for being optimized according to the signal power increment size to the performance of handoffs of serving cell.
In scheme provided in an embodiment of the present invention, according to switching-related parameters and user's situation of movement, serving cell is determined
The switching band distance of increment value of extension is needed, signal power increment size is determined according to switching band distance of increment value and path loss formula,
The performance of handoffs of serving cell is optimized according to signal power increment size.With handoff parameter Automatic Optimal of the prior art
Flow is compared, this programme do not need network side for a long time largely statistics switching problem and network KPI indexs, so as to shorten
Time required for performance of handoffs optimization, improve performance of handoffs optimization efficiency.
Brief description of the drawings
Fig. 1 is method flow schematic diagram provided in an embodiment of the present invention;
Fig. 2A is the switching band change schematic diagram in the embodiment of the present invention;
Fig. 2 B are the performance of handoffs Optimizing Flow schematic diagram in the embodiment of the present invention;
Fig. 3 is apparatus structure schematic diagram provided in an 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 STATIC SIMULATION
The performance of handoffs optimization method of platform.
Referring to Fig. 1, the performance of handoffs optimization method in STATIC SIMULATION platform provided in an embodiment of the present invention, including following step
Suddenly:
Step 10:According to switching-related parameters and user's situation of movement, determine that serving cell needs the switching band extended to increase
Measure distance value;
Specifically, can be according to triggered time (TimeToTrigger, TTT) parameter, the hand off signaling time delay being pre-configured with
(HOD) value of parameter and user velocity (UESpeed) parameter, determines that serving cell needs the switching band distance of increment extended
Value.The implication of each parameter is as follows:
TTT:That is UE measures neighboring cell signal quality higher than local area, and continues after the TTT times, and UE reports the measurement to network side
Event.
HOD:UE is when cell boarder is moved, and UE measures local area signal quality and neighboring cell signal quality and differs a dB respectively
With-a dB, region during difference a dB and difference-a dB between the point of UE positions is switching band.Because network signal is present
Time delay, and UE movement increase UE complete switching time, then HOD precisely due to UE moving belts come hand off signaling processing when
Prolong.
Step 11:Signal power increment size is determined according to switching band distance of increment value and path loss formula;
Here, path loss is that the factor such as distance and height is determined between communication environments, terminal base station.Different propagation models pair
The path loss formula answered is different, for example, in the case where other factors are determined, 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 ginsengs that can be determined by other factors
Number, height, the effective depth of antenna for base station, propagation loss, the height factors of terminal antenna and the propagation on ground relative with terminal
The increment factor of types of models is related.
Step 12:The performance of handoffs of serving cell is optimized according to signal power increment size.
Specifically, in step 10, according to the value for the TTT parameters, HOD parameters and UESpeed parameters being pre-configured with, really
Determine the switching band distance of increment value that serving cell needs to extend, implementing can be as follows:
Determine that serving cell needs the switching band distance of increment value Δ Dis extended according to equation below:
Δ Dis=TTT*UESpeed+HOD*UESpeed.
Specifically, in step 12, the performance of handoffs of serving cell is optimized according to signal power increment size, it is specific real
Now can be using one of the following two kinds method:
First, the switching band of serving cell is redefined according to signal power increment size, the switching band be serving cell with
Region of the difference of the signal quality of adjacent cell in the range of [- a, a+ Δ Signal] dB;Wherein, a is being used for of being pre-configured with
The signal quality amount of hysteresis of the switching band of serving cell is characterized, Δ signal is signal power increment size;
Switching is performed to terminal according to the switching band of the serving cell redefined, i.e., when UE measures adjacent area and local area signal
The difference of quality continues after the TTT times at [- a, a+ Δ Signal], and UE reports the measurement event to network side.Networking side
Corresponding switch decision process is carried out, so as to perform handover operation to the UE.
Second, the downstream signal transmission power of serving cell is heightened according to signal power increment size, i.e., by serving cell
Downstream signal transmission power heighten a numerical value, the numerical value is equal to the signal power increment size.
Preferably, after being optimized according to signal power increment size to the performance of handoffs of serving cell, it may be determined that
The handover success rate of serving cell;Judge whether the handover success rate reaches target success rate set in advance, judging not reach
During to target success rate, step 10- steps 12 are re-executed, namely:According to TTT parameters, HOD parameters and UESpeed parameters
Value, redefine serving cell need extend switching band distance of increment value;According to redefine switching band increment away from
Signal power increment size is redefined from value and path loss formula;It is small to servicing again according to the signal power increment size redefined
The performance of handoffs in area is optimized.
Specifically, determining the handover success rate of serving cell, implementing can be as follows:
First, it is determined that using the centre coordinate of the affiliated grid of serving cell as the center of circle, with Δ DHODFor in the range of radius can
The total number of choosing switching target grid and grid;Wherein, Δ DHOD=HOD*UESpeed;Here it is possible in advance will entirely
Reason region division is multiple square grids, namely grid is the subregion after whole geographic area is divided;
Then, for each grid, determine whether the signal quality of the grid is more than demodulation threshold value set in advance;This
In, characterize signal quality parameter can be Reference Signal Received Power (Reference signal received power,
) or Reference Signal Received Quality (Reference Signal Received Quality, RSRQ) RSRP;Demodulation threshold value is
Numerical value more than 0.
Then, statistical signal quality is more than the number of the optional switching target grid of the demodulation threshold value;
Finally, the number of the optional switching target grid of the demodulation threshold value is more than according to the total number and signal quality of grid
Mesh, determines the handover success rate of serving cell.Specifically, the handover success rate of serving cell, which is equal to signal quality, is more than the demodulation
The ratio of the number of the optional switching target grid of threshold value and the total number of grid.
With specific embodiment, the present invention will be described below:
During STATIC SIMULATION, it may set unreasonable due to initial power, so that the static system switching band simulated is not
Properly, so as to cause STATIC SIMULATION performance of handoffs very poor, STATIC SIMULATION handover success rate is low.The present embodiment is configured by network side
Cell-level UE parameters:TimeToTrigger, and UE movement velocitys (being the movement velocity configured for UE in system emulation),
Carry out the adjustment that respective cell switches band.
Wherein, embodiment one realize according to some UE adjustment switching band, and output switching band distance of increment Δ Dis values with
Signal power increment Delta Signal values.Embodiment two is after the output Δ of embodiment one Dis, to redefine STATIC SIMULATION UE switchings
Target cell, and calculate adjustment switching band after STATIC SIMULATION handover success rate.Embodiment three is the output Δ of embodiment one
There is provided the power planning module to STATIC SIMULATION platform after Signal, reference conditions are provided for power programming, by adjusting cell
Transmission power, equally realize the Automatic Optimal process of STATIC SIMULATION performance of handoffs.
Embodiment one:Switching band optimization;
As shown in Figure 2 A, with UE movement, UE reports A3 events, and UE continues to move to go out serving cell border, and this
When due to TimeToTrigger and HOD addition, network side is not in time for also UE being switched to Target cell, causes user to fall
Words.Therefore, the border of serving cell and the transmission power of serving cell are contemplated that the time delay in UE handoff procedures.
As shown in Figure 2 B, switching band Optimizing Flow is as follows:
Step 1:According to backstage configure " serving cell and the signal quality of neighbor cell difference Δ dB are (such as:±3dB)”
Principle, initially handing over band Area0, the i.e. initially handing over band Area0 for determining serving cell is the letter of serving cell and adjacent cell
Region of the difference of number quality in the range of [- 3,3];
Step 2:According to the value of the value of parameter TTT and the HOD parameter of fixed configurations, and UESpeed parameters, according to
Certain rule, which calculates serving cell, needs the switching band distance of increment Δ dis values extended (such as:Δ Dis=Δs DTTT+ΔDHOD=
TTT*UESpeed+HOD*UESpeed, or other computational methods);
Signal power increment Delta signal values are calculated according to switching band distance of increment Δ Dis values and path loss formula;
Step 3:The switching band Area1 of serving cell is redefined, it is serving cell and the letter of adjacent cell to switch with Area1
Region of the difference of number quality in the range of [- 3,3+ Δ Signal].
Embodiment two:The statistics of handover success rate in STATIC SIMULATION;
In embodiment one, no matter how UE to move, increment Delta Dis be consider UE can movable maximum distance, if
The signal quality of serving cell disclosure satisfy that the maximum distance, then other situations can make UE not call drops;From reporting measurement
Event is (such as:A3 events) after do in switching set-up procedure, UE can mobile ultimate range be exactly Δ DHOD, UE moving directions are not
It is determined that, but moving range is centered on reporting the point of measurement event (such as A3 events), with Δ DHODFor radius circular region,
Meet all Zone switched possibly as target of certain demand on signal quality (such as RSRQ or RSRP).
Calculate optional Zone switched grid number, and judge that the signal quality (such as RSRQ or RSRP) of optional grid is respectively
No to be more than demodulation threshold value, if being more than, the optional grid can switch grid as target.Channel quality is met by statistics
The grid number of index (such as RSRQ or RSRP) condition, and then calculate the handover success rate for obtaining STATIC SIMULATION.As shown in Figure 2 B,
It is specific as follows:
Step 1- steps 3:Step 1- steps 3 in be the same as Example one;
Step 4:It is determined that using the centre coordinate of the affiliated grid of serving cell as the center of circle, with Δ DHODIn the range of radius
The total number of optional switching target grid and grid;Wherein, Δ DHOD=HOD*UESpeed;
Step 5:For each grid, determine whether the signal quality of the grid is more than demodulation threshold value set in advance;
Step 6:Statistical signal quality is more than the number of the optional switching target grid of the demodulation threshold value;
Step 7:It is more than the optional switching target grid of the demodulation threshold value according to the total number and signal quality of grid
Number, determine the handover success rate of serving cell.
Embodiment three:Optimize transmission power;
In embodiment one, it will be increased according to switching with the signal power that distance of increment Δ dis values and the calculating of path loss formula are obtained
Δ signal values are measured, power planning module is fed back to, notify power planning module to carry out transmission power adjustment, and then adjust signal
Coverage, may finally improve handover success rate index.As shown in Figure 2 B, it is specific as follows:
Step 1- steps 2:Step 1- steps 2 in be the same as Example one, to step 8;
Step 8:Δ signal values are fed back into power planning module, power planning module is by the downstream signal of serving cell
Transmission power heightens a numerical value, and the numerical value is equal to Δ signal values.
Referring to Fig. 3, the embodiment of the present invention provides the performance of handoffs optimization device in a kind of STATIC SIMULATION platform, the device bag
Include:
Switching band increment determining unit 30, for according to switching-related parameters and user's situation of movement, determining serving cell
Need the switching band distance of increment value of extension;
Power increment determining unit 31, for determining signal power according to the switching band distance of increment value and path loss formula
Increment size;
Performance optimizes unit 32, excellent for being carried out according to the signal power increment size to the performance of handoffs of serving cell
Change.
Further, the switching band increment determining unit 30 is used for:According to the TTT the being pre-configured with ginsengs being pre-configured with
The value of number, HOD parameters and UESpeed parameters, determines that serving cell needs the switching band distance of increment value extended.
It is specific to determine that serving cell needs the switching band distance of increment value Δ Dis extended according to equation below:
Δ Dis=TTT*UESpeed+HOD*UESpeed.
Further, the performance optimization unit 32 is used for:
The switching band of serving cell is redefined according to the signal power increment size, the switching band is serving cell and neighbour
Region of the difference of the signal quality of cell in the range of [- a, a+ Δ Signal] dB;Wherein, a is to be pre-configured with for table
The signal quality amount of hysteresis of the switching band of serving cell is levied, Δ signal is the signal power increment size;
Switching is performed to terminal according to the switching band of the serving cell redefined.
Further, the performance optimization unit 32 is used for:
The downstream signal transmission power of serving cell is heightened according to the signal power increment size.
Further, the device also includes:
Handover success rate determining unit 33, for according to performance of handoffs of the signal power increment size to serving cell
After optimizing, the handover success rate of serving cell is determined;
Judging unit 34, for judging whether the handover success rate reaches target success rate set in advance;
The switching band increment determining unit 30 is additionally operable to:Judge to be not up to the target success rate in the judging unit
When, according to the value of TTT parameters, HOD parameters and UESpeed parameters, redefine the switching band that serving cell needs to extend
Distance of increment value;
The power increment determining unit 31 is additionally operable to:According to switching band distance of increment value and the path loss formula redefined
Redefine signal power increment size;
The performance optimization unit 32 is additionally operable to:According to the signal power increment size redefined again to serving cell
Performance of handoffs is optimized.
Further, the handover success rate determining unit 33 is used for:
It is determined that using the centre coordinate of the affiliated grid of serving cell as the center of circle, with Δ DHODCut for optional in the range of radius
Change the total number of target grid and grid;Wherein, Δ DHOD=HOD*UESpeed;
For each grid, determine whether the signal quality of the grid is more than demodulation threshold value set in advance;
Statistical signal quality is more than the number of the optional switching target grid of the demodulation threshold value;
It is more than the number of the optional switching target grid of the demodulation threshold value according to the total number and signal quality of grid,
Determine the handover success rate of serving cell.
To sum up, beneficial effects of the present invention include:
In scheme provided in an embodiment of the present invention, according to switching-related parameters and user's situation of movement, serving cell is determined
The switching band distance of increment value of extension is needed, signal power increment size is determined according to switching band distance of increment value and path loss formula,
The performance of handoffs of serving cell is optimized according to signal power increment size.With handoff parameter Automatic Optimal of the prior art
Flow is compared, this programme do not need network side for a long time largely statistics switching problem and network KPI indexs, so as to shorten
Time required for performance of handoffs optimization, improve performance of handoffs optimization efficiency.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
, but those skilled in the art once know basic creation although preferred embodiments of the present invention have been described
Property concept, then can make other change and modification to these embodiments.So, appended claims are intended to be construed to include excellent
Select embodiment and fall into having altered and changing for the scope of the invention.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.