CN107466052B - Parameter optimization method and device - Google Patents
Parameter optimization method and device Download PDFInfo
- Publication number
- CN107466052B CN107466052B CN201610391323.7A CN201610391323A CN107466052B CN 107466052 B CN107466052 B CN 107466052B CN 201610391323 A CN201610391323 A CN 201610391323A CN 107466052 B CN107466052 B CN 107466052B
- Authority
- CN
- China
- Prior art keywords
- abnormal
- frequency point
- switching
- type
- ratio
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
- H04W36/0085—Hand-off measurements
- H04W36/0088—Scheduling hand-off measurements
Abstract
The embodiment of the invention provides a parameter optimization method and a device, wherein the parameter optimization method comprises the following steps: selecting one type of abnormal switching to an adjacent cell, and calculating a first abnormal switching ratio of the type of abnormal switching, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time; judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching; if the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not; and if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells. By means of large-range rapid switching parameter adjustment of different adjacent cells of the same frequency point, mobility optimization efficiency is improved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a parameter optimization method and a parameter optimization apparatus.
Background
in a mobile network, improper setting of handover parameters can seriously affect the system performance and the service experience of a user, and even cause the user to drop the call. The mobility optimization mainly aims to find out problems related to the handover of a certain cell, such as premature handover, too late handover, wrong handover, ping-pong handover and the like, and optimize corresponding handover parameters according to key handover problems of the cell.
The switching parameter optimization can adopt modes such as cell-level parameter optimization, neighbor cell pair-level parameter optimization and the like. The switching parameters corresponding to the cell-level parameter optimization comprise adjustment of parameters such as cell trigger hysteresis factors and the like; the handover parameters corresponding to the neighbor cell pair-level optimization include adjustment of cell personalized offset in the pairing relationship between the serving cell and the neighbor cell.
However, the existing handover parameter optimization method can only optimize handover parameters cell by cell, and the mobility optimization efficiency is low.
Disclosure of Invention
The technical problem to be solved by the embodiment of the invention is to provide a parameter optimization method, and improve the mobility optimization efficiency.
Correspondingly, the embodiment of the invention also provides a parameter optimization device for ensuring the realization and the application of the method.
In order to solve the above problems, the present invention discloses a parameter optimization method, which comprises: selecting one type of abnormal switching to an adjacent cell, and calculating a first abnormal switching ratio of the type of abnormal switching, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time; judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching; if the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not; and if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells.
Optionally, if the first adjustment threshold is not exceeded, performing neighboring cell pair level parameter optimization on the abnormally switched neighboring cells respectively.
Optionally, if the frequency points are different, selecting one of the different frequency points, and calculating a second abnormal switching ratio of the frequency point priority of the frequency point, wherein the second abnormal switching ratio is the ratio of the frequency of switching the frequency point priority to the adjacent cell abnormally in the period time to the total frequency of switching the frequency point priority to the adjacent cell in the period time; and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point.
optionally, if the second abnormal handover ratio is smaller than a second adjustment threshold corresponding to the frequency point, performing neighboring cell pair level parameter optimization on each abnormal handover neighboring cell respectively.
Optionally, if the second abnormal handover ratio is not less than a second adjustment threshold corresponding to the frequency point, comparing the frequency point priority with the frequency point priority of the serving cell; and optimizing the parameters of the measurement event according to the comparison result.
Optionally, if the frequency point priority is equal to the frequency point priority of the serving cell, optimizing the first type of measurement event parameters; if the frequency point priority is greater than the frequency point priority of the service cell, optimizing the second type of measurement event parameters; and if the frequency point priority is less than the frequency point priority of the service cell, optimizing the second type of measurement event parameters.
Optionally, the number of each type of abnormal handover to the neighboring cell within the period time is counted, and one type of abnormal handover with the largest number of abnormal handover is selected.
Optionally, the one type of abnormal handover includes a too early handover, or a too late handover, or an erroneous handover, or a ping-pong handover.
The invention also discloses a parameter optimization device, which comprises: the ratio calculation module is used for selecting one type of abnormal switching to the adjacent cell and calculating a first abnormal switching ratio of the type of abnormal switching, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time; a threshold judging module, configured to judge whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjustment threshold corresponding to the type of abnormal switching; a frequency point judging module, configured to judge whether frequency points of each neighboring cell that are abnormally switched are the same or not if the first abnormal switching ratio exceeds a first adjustment threshold; and the frequency point optimization module is used for simultaneously optimizing the frequency point level parameters of the abnormally switched adjacent cells if the frequency points of the abnormally switched adjacent cells are the same.
Optionally, the neighbor pair optimization module is configured to perform neighbor pair level parameter optimization on the neighbor cells that are abnormally switched if the first adjustment threshold is not exceeded.
Optionally, the cell-level optimization module selects one of different frequency points if the frequency points are different, and calculates a second abnormal switching ratio of the frequency point priorities of the frequency points, wherein the second abnormal switching ratio is a ratio of the frequency of switching the frequency point priorities to the adjacent cell abnormally in a period of time to the total frequency of switching the frequency point priorities to the adjacent cell in the period of time; and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point.
optionally, the neighboring cell pair optimization module is configured to perform neighboring cell pair level parameter optimization on each abnormally switched neighboring cell, if the second abnormally switched specific value is smaller than a second adjustment threshold corresponding to the frequency point.
Optionally, the parameter adjusting sub-module is configured to compare the frequency point priority with a frequency point priority of a serving cell if the second abnormal handover ratio is not smaller than a second adjusting threshold corresponding to the frequency point; and optimizing the parameters of the measurement event according to the comparison result.
Optionally, the first adjusting unit is configured to optimize the first type of measurement event parameters if the frequency point priority is equal to the frequency point priority of the serving cell; the second adjusting unit is used for optimizing the second type of measurement event parameters if the frequency point priority is greater than the frequency point priority of the service cell; and the third adjusting unit is used for optimizing the second type of measurement event parameters if the frequency point priority is smaller than the frequency point priority of the serving cell.
Optionally, the type selection sub-module is configured to count the number of abnormal handover times of each type to the neighboring cell within a period time, and select one type of abnormal handover with the largest number of abnormal handover times.
optionally, the one type of abnormal handover includes a too early handover, or a too late handover, or an erroneous handover, or a ping-pong handover.
compared with the prior art, the embodiment of the invention has the following advantages: selecting one type of abnormal switching to an adjacent cell, and calculating a first abnormal switching ratio of the type of abnormal switching, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time; judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching; if the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not; and if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells. By means of large-range rapid switching parameter adjustment of different adjacent cells of the same frequency point, mobility optimization efficiency is improved.
Drawings
FIG. 1 is a flow chart of steps of a parameter optimization method of an embodiment of the present invention;
FIG. 2 is a flow chart of steps of another embodiment of a method for parameter optimization of the present invention;
FIG. 3 is a block diagram of an embodiment of a parameter optimization apparatus according to the present invention;
FIG. 4 is a block diagram of another embodiment of a parameter optimization device according to the present invention;
FIG. 5 is a block diagram of a parameter adjusting submodule in another embodiment of a parameter optimizing apparatus according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
One of the core ideas of the embodiment of the invention is that one type of abnormal switching to the adjacent cell is selected, and a first abnormal switching ratio of the type of abnormal switching is calculated, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time; judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching; if the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not; and if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells. By means of large-range rapid switching parameter adjustment of different adjacent cells of the same frequency point, mobility optimization efficiency is improved.
Example one
referring to fig. 1, a flowchart of steps of an embodiment of a parameter optimization method of the present invention is shown, which may specifically include the following steps:
Step S102, selecting one type of abnormal switching to the adjacent cell, and calculating a first abnormal switching ratio of the type of abnormal switching.
The first abnormal switching ratio is the ratio of the switching times of the abnormal switching of the type in the period time to the total times of switching to the adjacent cell in the period time.
In this application, a base station refers to a network device providing wireless access for a terminal device, and a coverage area of a wireless signal provided by the base station may be divided into at least one cell. When the terminal moves, if the signal of the current serving cell is weaker, the signal of the adjacent cell is stronger, and the terminal can be switched to the adjacent cell to avoid call drop. The method and the device can define the service cell and the adjacent cell as an adjacent cell pair, and generally set switching parameters aiming at each adjacent cell pair to determine whether the terminal needs to be switched under the current condition. For example, a cell-specific offset (Ocn) of a neighboring cell for a signal strength difference satisfying a handover condition set for each neighboring cell; an offset (Ofn) specific to the frequency of the neighboring cell, which is used for setting a signal strength difference satisfying a handover condition for the neighboring cell of the specific frequency. If the switching parameter is set improperly, different types of abnormal switching may be caused, for example: premature handover, too late handover, erroneous handover, ping-pong handover, etc. In the cycle time, each time of handover, the base station may count each abnormal handover type, for example, by using a counter, if the handover is a premature handover, the number of the premature handover may be increased by 1; if the switching is too late, the number of too late switching can be added by 1, and meanwhile, the total number of switching to the adjacent cell is counted through a counter. Selecting one type of abnormal switching to the adjacent cell, and calculating the ratio of the switching times of the type of abnormal switching in the period time to the total times of switching to the adjacent cell in the period time.
Step S104, judging whether the first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching.
If the first abnormal handover ratio exceeds the first adjustment threshold, step S106 is executed. If the first abnormal handover ratio does not exceed the first adjustment threshold, step S108 is performed.
In order to improve the efficiency and accuracy of parameter optimization, if the first abnormal switching ratio is higher, the switching parameters of each neighboring cell pair can be adjusted at the same time; if the first abnormal switching ratio is low, that is, only a few switching parameters of the neighboring cell pairs need to be adjusted, parameter optimization can be performed on the abnormally switched neighboring cell pairs respectively. Setting a first adjustment threshold aiming at each abnormal type in advance, judging whether a first abnormal switching ratio of the abnormal switching of the selected abnormal type exceeds a first adjustment threshold corresponding to the abnormal switching of the type, and if the first abnormal switching ratio exceeds the corresponding first adjustment threshold, determining that the first abnormal switching ratio is higher, namely abnormal switching can occur in more cells; if the first abnormal switching ratio value does not exceed the corresponding first adjustment threshold, the first abnormal switching ratio value is determined to be lower, namely, the abnormal switching can occur in fewer cells.
And step S106, judging whether the frequency points of the adjacent cells which are abnormally switched are the same.
If the frequency points of the abnormally switched adjacent cells are the same, executing the step S110; if the frequency points of the abnormal handover neighboring cells are different, step S108 is executed.
In order to avoid interference, different frequency points are generally used by adjacent cells, while the interference degree of cells far away is lower, and the same frequency point can be used due to the limited power of the base station. And judging whether the frequency points of the abnormal switched adjacent cells are the same.
And S108, respectively optimizing adjacent cell pair level parameters of the adjacent cells which are abnormally switched.
If the first abnormal handover ratio does not exceed the first adjustment threshold, that is, abnormal handover occurs in only a few cells, in order to ensure accuracy of parameter optimization, only the Ocn of the abnormal handover neighbor cell may be adjusted. If the first abnormal switching ratio corresponding to the selected abnormal switching type exceeds the first adjustment threshold, but the frequency points of all adjacent cells of the abnormal switching type are different, namely the Ofn of all adjacent cells are not completely the same, the grade parameter Ofn of the adjacent cells is optimized for all the abnormally switched adjacent cell pairs.
And step S110, performing frequency point level parameter optimization on the abnormally switched adjacent cells at the same time.
If the frequency points of the adjacent cells of the selected abnormal switching type are the same, namely the Ofn of each adjacent cell pair is the same, in order to improve the efficiency, the adjacent cell pair level parameter Ofn can be optimized aiming at each abnormal switching adjacent cell pair at the same time.
In summary, selecting a type of abnormal handover to the neighboring cell, and calculating a first abnormal handover ratio of the type of abnormal handover, where the first abnormal handover ratio is a ratio of the number of times of switching the type of abnormal handover within a period of time to the total number of times of switching to the neighboring cell within the period of time; judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching; if the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not; and if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells. By means of large-range rapid switching parameter adjustment of different adjacent cells of the same frequency point, mobility optimization efficiency is improved.
Example two
Referring to fig. 2, a flowchart of steps of an embodiment of a parameter optimization method of the present invention is shown, which may specifically include the following steps:
step S202, counting the abnormal switching times of each type of the adjacent cells within the period time, and selecting the abnormal switching of the type with the most abnormal switching times.
wherein, the abnormal switching of one type comprises early switching, late switching, error switching or ping-pong switching.
Step S204, selecting one type of abnormal switching to the adjacent cell, and calculating a first abnormal switching ratio of the type of abnormal switching.
The first abnormal switching ratio is the ratio of the switching times of the abnormal switching of the type in the period time to the total times of switching to the adjacent cell in the period time.
When the terminal moves, if the signal of the current serving cell is weaker, the signal of the adjacent cell is stronger, and the terminal can be switched to the adjacent cell to avoid call drop. Generally, a handover parameter is set for each pair of neighboring cells to determine whether the terminal needs to be handed over under the current situation. For example, a cell-specific offset (Ocn) of a neighboring cell for a signal strength difference satisfying a handover condition set for each neighboring cell; an offset (Ofn) specific to the frequency of the neighboring cell, which is used for setting a signal strength difference satisfying a handover condition for the neighboring cell of the specific frequency. If the switching parameter is set improperly, different types of abnormal switching may be caused, for example: premature handover, too late handover, erroneous handover, ping-pong handover, etc.
the early switching is to initiate switching under the condition that a target signal is weak, and the terminal cannot be normally accessed to cause switching failure; alternatively, although the handover is completed, the terminal cannot maintain the link due to the weak signal of the target cell, which also results in a failure.
Too late handover, that is, the terminal has poor signal in the original serving cell and has not yet triggered handover, which finally results in radio link failure; or although the handover is triggered, the signal coverage of the source cell is poor, which cannot ensure that the handover of the terminal is successfully completed, and also leads to failure.
The wrong handover, when the terminal is handed over, the target cell selection is wrong (or not optimal), which results in the terminal failing in the handover process, or the terminal can switch into the target cell but RLF occurs soon, and then the terminal tries to recover the connection, and the cell selected by the terminal to reestablish the radio connection is not the source cell, not the target cell, but a third party cell.
The ping-pong handover means that the terminal is switched back to the source serving cell after being switched to the target neighbor cell.
In the cycle time, each time of handover, the base station may count each abnormal handover type, for example, by using a counter, if the handover is a premature handover, the number of the premature handover may be increased by 1; if the switching is too late, the number of too late switching can be added by 1, and meanwhile, the total number of switching to the adjacent cell is counted through a counter. Counting the abnormal switching times of each type switched to the adjacent cell within the period time, and selecting the abnormal switching of the type with the most abnormal switching times. And calculating the ratio of the switching times of the selected abnormal switching in the period time to the total times of switching to the adjacent cell in the period time.
step S206, judging whether the first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching.
if not, executing step S208; if the first adjustment threshold is exceeded, step S210 is performed.
Setting a first adjustment threshold aiming at each abnormal type in advance, judging whether a first abnormal switching ratio of the selected abnormal type exceeds a corresponding first adjustment threshold, and if the first abnormal switching ratio exceeds the corresponding first adjustment threshold, determining that the first abnormal switching ratio is higher, namely abnormal switching can occur in most cells; if the first abnormal switching ratio value does not exceed the corresponding first adjusting threshold, the first abnormal switching ratio value is determined to be lower, namely, abnormal switching can occur in only a small part of cells. In order to improve the efficiency and accuracy of parameter optimization, if the first abnormal handover ratio is higher, the handover parameters of each neighboring cell can be adjusted at the same time; if the first abnormal switching ratio is lower, parameter optimization can be respectively carried out on the adjacent cell pairs which are abnormally switched.
and S208, if the abnormal switching neighbor cells do not exceed the first adjustment threshold, respectively optimizing neighbor cell pair level parameters of the abnormal switching neighbor cells.
If the first abnormal handover ratio does not exceed the first adjustment threshold, abnormal handover will occur in only a small number of cells. The base station may collect the identifier of the neighboring cell to which the base station is handed over and handover information, where the handover information includes information such as handover parameters for selecting a handover type, e.g., Ocn. In order to ensure the accuracy of parameter optimization, the base station acquires at least one neighbor cell of abnormal handover, adjusts the Ocn of the neighbor cell, for example, increases the Ocn for the case of premature handover; in the case of too late a handover, Ocn is made smaller.
Step S210, if the first abnormal handover ratio exceeds the first adjustment threshold, determining whether the frequency points of the abnormal handover neighboring cells are the same.
If the frequency points of the abnormally switched neighboring cells are the same, executing step S212; if the frequency points of the abnormal handover neighboring cells are different, step S214 is executed.
To avoid interference, adjacent cells typically use different frequencies, while cells further apart have lower interference levels, and since the base station has limited power, the same frequency can be used. And judging whether the frequency points of the abnormal switched adjacent cells are the same.
and step S212, performing frequency point level parameter optimization on the abnormally switched adjacent cells at the same time.
If the frequency points of the adjacent cells of the selected abnormal switching type are the same, namely the Ofn of each adjacent cell pair is the same, in order to improve the efficiency, the adjacent cell pair level parameter Ofn can be optimized aiming at each abnormal switching adjacent cell pair at the same time.
step S214, one of the different frequency points is selected, and a second abnormal switching ratio of the frequency point priority of the frequency point is calculated.
And the second abnormal switching ratio is the ratio of the frequency point priority abnormal switching times to the adjacent cells in the period time to the total frequency point priority switching times to the adjacent cells in the period time.
Step S216, judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point.
if the frequency points of the abnormally switched adjacent cells are different, namely the Ofn of the adjacent cells are not completely the same, the adjacent cell pair level parameter, namely the Ofn, is optimized aiming at the abnormally switched adjacent cell pairs. One frequency point corresponds to a plurality of priorities, and different adjustment can be carried out on switching parameters according to different frequency point priorities. And counting the abnormal switching times corresponding to the priorities of the frequency points in the abnormal switching and the total switching times corresponding to the priorities of the frequency points. And selecting one of the different frequency points, and calculating the ratio of the times of switching the priority of the selected frequency point to the adjacent cell abnormally in the period time to the total times of switching the priority of the selected frequency point to the adjacent cell in the period time to be used as a second abnormal switching ratio. And comparing the second abnormal switching ratio of the priority of the frequency point with a second adjusting threshold corresponding to the frequency point.
If the second abnormal switching ratio is smaller than a second adjustment threshold corresponding to the frequency point, go to step S218; if the second abnormal switching ratio is not less than the second adjustment threshold corresponding to the frequency point, step S220 is executed.
Step S218, if the difference is smaller than the corresponding second adjustment threshold, performing neighboring cell pair level parameter optimization on each abnormal handover neighboring cell.
If the second abnormal switching ratio of the priority of the selected frequency point does not exceed the second adjustment threshold, only a small part of the cells corresponding to the priority of the frequency point can be abnormally switched. The neighbor cell information collected by the base station includes the identifier of the neighbor cell and handover information, and the handover information includes information such as abnormal handover type handover parameters, e.g., Ocn. In order to ensure the accuracy of parameter optimization, the base station acquires at least one neighbor cell of abnormal handover, adjusts the Ocn of the neighbor cell, and for example, reduces the Ocn for the case of too late handover. The parameter adjustment for the neighbor cell with the priority of the selected frequency point can be suitable for parameter adjustment of neighbor cells with other frequency point priorities.
Step S220, if the second abnormal switching ratio is not less than the second adjusting threshold corresponding to the frequency point, comparing the frequency point priority with the frequency point priority of the service cell.
If the frequency point priority of the abnormal switching neighbor cell is equal to the frequency point priority of the serving cell, executing step S222; if the frequency point priority of the abnormal switching neighbor cell is greater than the frequency point priority of the serving cell, executing step S224; if the frequency point priority of the abnormal handover neighboring cell is less than the frequency point priority of the serving cell, step S226 is executed.
Step S222, if the frequency point priority is equal to the frequency point priority of the service cell, optimizing the first type of measurement event parameters.
and S224, if the frequency point priority is greater than the frequency point priority of the service cell, optimizing the second type of measurement event parameters.
And step S226, if the frequency point priority is less than the frequency point priority of the service cell, optimizing the third type of measurement event parameters.
In the embodiment of the present invention, whether to perform the handover and what kind of handover to perform are determined by triggering several measurement events, such as an A3 event, an a4 event, or an a5 event. The decision of which event to trigger for handover is made by setting a measurement event parameter. And if the second abnormal switching ratio of the selected frequency point priority exceeds the corresponding second adjustment threshold, comparing the frequency point priority of the abnormal switching neighbor cell with the frequency point priority of the serving cell, and optimizing the measurement event parameters according to the comparison result.
Wherein, event A3: switching based on coverage when the signal quality of the neighbor cell is higher than the Serving cell by a threshold (Offset) (neighbor > Serving + Offset, Offset: +/-); event A4: the quality of the neighbor cell is higher than an absolute threshold, for example, an A4RSRP threshold, and is used for load-based handover, that is, handover is determined according to the load of the neighbor cell and the serving cell. Event A5: serving cell quality is below an absolute threshold of 1(RSRP1) (Serving < RSRP1) and neighbor quality is above an absolute threshold of 2(RSRP2 threshold) (neighbor > RSRP2 threshold) for coverage based handover.
In the event of A3, whether to perform handover is determined based on the judgment that whether the difference value of the signal quality between the serving cell and the adjacent cell with the same frequency point priority is higher than Offset. If the frequency point priority of the abnormal handover neighbor cell is equal to the frequency point priority of the serving cell, the first type of measurement event parameters, i.e., the relevant parameters in the a3 measurement event, may be adjusted, for example: threshold Offset in the A3 event, A3 event trigger duration (TTT) hysteresis factor Hys, etc. To improve accuracy, the a4 event is generally set to determine whether the signal quality of the neighbor cell is higher than an absolute threshold when the priority of the frequency point of the neighbor cell is higher than that of the serving cell. If the frequency point priority of the abnormal switching neighbor cell is higher than the frequency point priority of the serving cell, parameter optimization can be performed by adjusting a second type of measurement event parameter, for example, the threshold RSRP in the a4 event. Generally, when the priority of the frequency point of the neighbor cell is lower than that of the frequency point of the serving cell, it is required to simultaneously satisfy that the quality of the serving cell in the event of a5 is lower than threshold1 and the quality of the neighbor cell is higher than threshold2 before switching. If the frequency point priority of the abnormal handover neighbor cell is lower than the frequency point priority of the serving cell, parameter optimization can be performed by adjusting the third type of measurement event parameters, such as RSRP1 and RSRP2 thresholds in the a5 event.
in summary, one of the different frequency points is selected, and a second abnormal switching ratio of the frequency point priorities of the frequency points is calculated, wherein the second abnormal switching ratio is a ratio of the number of times that the frequency point priorities are abnormally switched to the adjacent cell within the period time to the total number of times that the frequency point priorities are switched to the adjacent cell within the period time; and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point. If the second abnormal switching ratio is not smaller than a second adjusting threshold corresponding to the frequency point, comparing the frequency point priority with the frequency point priority of the service cell; and optimizing the parameters of the measurement event according to the comparison result. By increasing judgment and optimization processing of the frequency point priority, the efficiency and accuracy of mobility optimization are improved.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
EXAMPLE III
Referring to fig. 3, a block diagram of a parameter optimization apparatus according to an embodiment of the present invention is shown, which may specifically include the following modules:
A ratio calculation module 302, configured to select a type of abnormal handover from the neighboring cell, and calculate a first abnormal handover ratio of the type of abnormal handover, where the first abnormal handover ratio is a ratio of the number of times of switching the type of abnormal handover within a period time to the total number of times of switching to the neighboring cell within the period time; .
a threshold determining module 304, configured to determine whether a first abnormal handover ratio of the type of abnormal handover exceeds a first adjustment threshold corresponding to the type of abnormal handover.
a frequency point judging module 306, configured to judge whether the frequency points of the abnormally switched neighboring cells are the same if the first abnormal switching ratio exceeds a first adjustment threshold.
and a frequency point optimization module 308, configured to perform frequency point level parameter optimization on the abnormally switched neighboring cells simultaneously if the frequency points of the abnormally switched neighboring cells are the same.
In summary, selecting a type of abnormal handover to the neighboring cell, and calculating a first abnormal handover ratio of the type of abnormal handover, where the first abnormal handover ratio is a ratio of the number of times of switching the type of abnormal handover within a period of time to the total number of times of switching to the neighboring cell within the period of time; judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching; if the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not; and if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells. By means of large-range rapid switching parameter adjustment of different adjacent cells of the same frequency point, mobility optimization efficiency is improved.
Example four
referring to fig. 4, a block diagram of another embodiment of the parameter optimization apparatus of the present invention is shown, which may specifically include the following modules:
A ratio calculation module 302, configured to select a type of abnormal handover from the neighboring cell, and calculate a first abnormal handover ratio of the type of abnormal handover, where the first abnormal handover ratio is a ratio of the number of handovers of the type of abnormal handover within a period time to a total number of handovers to the neighboring cell within the period time.
A threshold determining module 304, configured to determine whether a first abnormal handover ratio of the type of abnormal handover exceeds a first adjustment threshold corresponding to the type of abnormal handover.
A frequency point judging module 306, configured to judge whether the frequency points of the abnormally switched neighboring cells are the same if the first abnormal switching ratio exceeds a first adjustment threshold.
And a frequency point optimization module 308, configured to perform frequency point level parameter optimization on the abnormally switched neighboring cells simultaneously if the frequency points of the abnormally switched neighboring cells are the same.
And an adjacent cell pair optimizing module 310, configured to perform adjacent cell pair level parameter optimization on the abnormally switched adjacent cells respectively if the first adjustment threshold is not exceeded. And the neighbor cell pair level parameter optimization module is used for respectively optimizing neighbor cell pair level parameters of each abnormal handover neighbor cell if the second abnormal handover ratio is smaller than a second adjustment threshold corresponding to the frequency point.
a cell level optimizing module 312, configured to select one of different frequency points if the frequency points are different, and calculate a second abnormal switching ratio of the frequency point priorities of the frequency points, where the second abnormal switching ratio is a ratio of the number of times that the frequency point priorities are abnormally switched to the neighboring cell within a period time to the total number of times that the frequency point priorities are switched to the neighboring cell within the period time; and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point.
In a preferred embodiment of the present invention, the cell-level optimization module 312 includes the following sub-modules:
The parameter adjusting submodule 3122 is configured to compare the frequency point priority with a frequency point priority of a serving cell if the second abnormal handover ratio is not less than a second adjusting threshold corresponding to the frequency point; and optimizing the parameters of the measurement event according to the comparison result.
As shown in fig. 5, in a preferred embodiment of the present invention, the parameter adjusting sub-module 3122 includes the following units:
A first adjusting unit 31222, configured to optimize the first type of measurement event parameters if the frequency point priority is equal to the frequency point priority of the serving cell.
A second adjusting unit 31224, configured to optimize the second type of measurement event parameters if the frequency point priority is greater than the frequency point priority of the serving cell.
A third adjusting unit 31226, configured to optimize the second type measurement event parameter if the frequency point priority is less than the frequency point priority of the serving cell.
In summary, one of the different frequency points is selected, and a second abnormal switching ratio of the frequency point priorities of the frequency points is calculated, wherein the second abnormal switching ratio is a ratio of the number of times that the frequency point priorities are abnormally switched to the adjacent cell within the period time to the total number of times that the frequency point priorities are switched to the adjacent cell within the period time; and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point. If the second abnormal switching ratio is not smaller than a second adjusting threshold corresponding to the frequency point, comparing the frequency point priority with the frequency point priority of the service cell; and optimizing the parameters of the measurement event according to the comparison result. By increasing judgment and optimization processing of the frequency point priority, the efficiency and accuracy of mobility optimization are improved.
for the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
the embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
as will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
the parameter optimization method and the parameter optimization device provided by the invention are introduced in detail, and the principle and the implementation mode of the invention are explained by applying specific examples, and the description of the examples is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (16)
1. A method of parameter optimization, the method comprising:
Selecting one type of abnormal switching to an adjacent cell, and calculating a first abnormal switching ratio of the type of abnormal switching, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time;
Judging whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjusting threshold corresponding to the type of abnormal switching;
If the first abnormal switching ratio exceeds a first adjusting threshold, judging whether the frequency points of the abnormal switching neighbor cells are the same or not;
And if the frequency points of the abnormally switched adjacent cells are the same, simultaneously carrying out frequency point level parameter optimization on the abnormally switched adjacent cells.
2. The method of claim 1, after determining whether the first abnormal handover ratio value of the type of abnormal handover exceeds the first adjustment threshold corresponding to the type of abnormal handover, further comprising:
If the first adjustment threshold is not exceeded,
and respectively carrying out adjacent cell pair level parameter optimization on the adjacent cells which are abnormally switched.
3. the method according to claim 1, after determining whether the frequency points of the abnormally switched neighboring cells are the same, further comprising:
If not, selecting one of the different frequency points, and calculating a second abnormal switching ratio of the frequency point priority of the frequency point, wherein the second abnormal switching ratio is the ratio of the frequency of switching the frequency point priority to the adjacent cell abnormally in the period time to the total frequency of switching the frequency point priority to the adjacent cell in the period time;
and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point.
4. The method according to claim 3, after determining whether the second abnormal handover ratio value exceeds a second adjustment threshold corresponding to the frequency point, further comprising:
And if the second abnormal switching ratio is smaller than a second adjusting threshold corresponding to the frequency point, respectively optimizing the adjacent cell pair level parameters of each abnormal switching adjacent cell.
5. the method according to claim 3, after determining whether the second abnormal handover ratio value exceeds a second adjustment threshold corresponding to the frequency point, further comprising:
If the second abnormal switching ratio is not smaller than a second adjusting threshold corresponding to the frequency point, comparing the frequency point priority with the frequency point priority of the service cell;
And optimizing the parameters of the measurement event according to the comparison result.
6. the method of claim 5, the measurement event parameter optimization as a function of the comparison, comprising:
if the frequency point priority is equal to the frequency point priority of the service cell, optimizing first-class measurement event parameters, wherein the first-class measurement event parameters comprise: threshold Offset in A3 event, A3 event trigger duration hysteresis factor Hys;
If the frequency point priority is greater than the frequency point priority of the service cell, optimizing second-class measurement event parameters, wherein the second-class measurement event parameters comprise: a threshold RSRP in the event of a 4;
If the frequency point priority is less than the frequency point priority of the service cell, optimizing a third type of measurement event parameters, wherein the third type of measurement event parameters comprise: RSRP1 threshold, RSRP2 threshold in the a5 event.
7. The method of claim 1, selecting a type of abnormal handover to a neighbor cell, comprising:
Counting the abnormal switching times of each type switched to the adjacent cell within the period time, and selecting the abnormal switching of the type with the most abnormal switching times.
8. The method of claim 7, the one type of abnormal handover, comprising:
A too early handover, or a too late handover, or a wrong handover, or a ping-pong handover.
9. an apparatus for parameter optimization, the apparatus comprising:
The ratio calculation module is used for selecting one type of abnormal switching to the adjacent cell and calculating a first abnormal switching ratio of the type of abnormal switching, wherein the first abnormal switching ratio is the ratio of the switching times of the type of abnormal switching in a period time to the total times of switching to the adjacent cell in the period time;
A threshold judging module, configured to judge whether a first abnormal switching ratio of the type of abnormal switching exceeds a first adjustment threshold corresponding to the type of abnormal switching;
A frequency point judging module, configured to judge whether frequency points of each neighboring cell that are abnormally switched are the same or not if the first abnormal switching ratio exceeds a first adjustment threshold;
and the frequency point optimization module is used for simultaneously optimizing the frequency point level parameters of the abnormally switched adjacent cells if the frequency points of the abnormally switched adjacent cells are the same.
10. The apparatus of claim 9, the apparatus further comprising:
And the adjacent cell pair optimization module is used for respectively optimizing the adjacent cell pair level parameters of the abnormal switched adjacent cells if the first adjustment threshold is not exceeded.
11. The apparatus of claim 9, the apparatus further comprising:
The cell level optimization module is used for selecting one of different frequency points if the frequency points are different, and calculating a second abnormal switching ratio of the frequency point priority of the frequency point, wherein the second abnormal switching ratio is the ratio of the frequency point priority to be abnormally switched to the adjacent cell in the period time to the total frequency of the frequency point priority to be switched to the adjacent cell in the period time; and judging whether the second abnormal switching ratio exceeds a second adjusting threshold corresponding to the frequency point.
12. The apparatus of claim 11,
And the neighboring cell pair optimization module is configured to perform neighboring cell pair level parameter optimization on each abnormally switched neighboring cell if the second abnormally switched specific value is smaller than a second adjustment threshold corresponding to the frequency point.
13. The apparatus of claim 11, the cell-level optimization module, comprising:
The parameter adjusting submodule is used for comparing the frequency point priority with the frequency point priority of the service cell if the second abnormal switching ratio is not smaller than a second adjusting threshold corresponding to the frequency point; and optimizing the parameters of the measurement event according to the comparison result.
14. The apparatus of claim 13, the parameter adjustment submodule, comprising:
A first adjusting unit, configured to optimize a first type of measurement event parameter if the frequency point priority is equal to a frequency point priority of a serving cell, where the first type of measurement event parameter includes: threshold Offset in A3 event, A3 event trigger duration hysteresis factor Hys;
A second adjusting unit, configured to optimize a second type of measurement event parameters if the frequency point priority is greater than the frequency point priority of the serving cell, where the second type of measurement event parameters include: a threshold RSRP in the event of a 4;
A third adjusting unit, configured to optimize a third type of measurement event parameters if the frequency point priority is less than the frequency point priority of the serving cell, where the third type of measurement event parameters includes: RSRP1 threshold, RSRP2 threshold in the a5 event.
15. The apparatus of claim 9, the ratio calculation module, comprising:
And the type selection submodule is used for counting the abnormal switching times of each type switched to the adjacent cell within the period time and selecting the abnormal switching of the type with the maximum abnormal switching times.
16. The apparatus of claim 15, the one type of abnormal handover, comprising:
a too early handover, or a too late handover, or a wrong handover, or a ping-pong handover.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610391323.7A CN107466052B (en) | 2016-06-03 | 2016-06-03 | Parameter optimization method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610391323.7A CN107466052B (en) | 2016-06-03 | 2016-06-03 | Parameter optimization method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107466052A CN107466052A (en) | 2017-12-12 |
| CN107466052B true CN107466052B (en) | 2019-12-06 |
Family
ID=60544973
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610391323.7A Active CN107466052B (en) | 2016-06-03 | 2016-06-03 | Parameter optimization method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107466052B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114205876B (en) * | 2020-09-02 | 2023-11-10 | 中国移动通信集团安徽有限公司 | Frequency point measuring method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102932813A (en) * | 2011-08-10 | 2013-02-13 | 中国移动通信集团河南有限公司 | Method and device for adjusting cell individual offset (CIO) parameters |
| WO2013093214A2 (en) * | 2011-12-19 | 2013-06-27 | Solairemed | Photovoltaic equipment, and method for generating electrical power at a predetermined value regardless of being subjected to power losses |
| CN103987061A (en) * | 2013-01-18 | 2014-08-13 | 北京三星通信技术研究有限公司 | Self-optimization method for UE group |
| CN104717703A (en) * | 2015-04-01 | 2015-06-17 | 北京北方烽火科技有限公司 | Switched parameter self-optimizing method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8296450B2 (en) * | 2006-03-21 | 2012-10-23 | Fortinet, Inc. | Delegated network management system and method of using the same |
-
2016
- 2016-06-03 CN CN201610391323.7A patent/CN107466052B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102932813A (en) * | 2011-08-10 | 2013-02-13 | 中国移动通信集团河南有限公司 | Method and device for adjusting cell individual offset (CIO) parameters |
| WO2013093214A2 (en) * | 2011-12-19 | 2013-06-27 | Solairemed | Photovoltaic equipment, and method for generating electrical power at a predetermined value regardless of being subjected to power losses |
| CN103987061A (en) * | 2013-01-18 | 2014-08-13 | 北京三星通信技术研究有限公司 | Self-optimization method for UE group |
| CN104717703A (en) * | 2015-04-01 | 2015-06-17 | 北京北方烽火科技有限公司 | Switched parameter self-optimizing method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107466052A (en) | 2017-12-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2485721C2 (en) | Method to prevent ping-pong-handover in mobile radio networks | |
| EP2819461B1 (en) | Wireless network optimization method, device and system | |
| EP2742725B1 (en) | Mobility robustness optimization with an extended key performance indicator message | |
| US9629056B2 (en) | Method of controlling handover by user equipment | |
| US9838929B2 (en) | Radio communication system and handover control method | |
| WO2016101451A1 (en) | Neighboring cell handover adjustment method, device, and computer storage medium | |
| WO2016083524A1 (en) | Self-organizing network engine for mobility load balancing between wi-fi and cellular networks | |
| CN103313324A (en) | Target cell selection method and eNB of LTE system | |
| CN104349403A (en) | Pre-switching processing method and apparatus, user equipment and cell | |
| CN104469861B (en) | Cell selection method, device and terminal | |
| CN104754616A (en) | Method, device and system for processing unnecessary switching | |
| CN103313316A (en) | Method and device for detection and processing of inter-system ping-pong handover | |
| CN103037440A (en) | Method and device for mobile load balancing | |
| CN103228007A (en) | Switching or reselection method and equipment | |
| CN108260159B (en) | Different system service self-adaptive switching method and base station | |
| JP2013518493A (en) | Cell selection and reselection in communication networks | |
| JP5080656B2 (en) | Method for handover of terminal, network element, base station, and communication system | |
| CN107466052B (en) | Parameter optimization method and device | |
| CN111314971A (en) | Network switching method and device | |
| CN103369603A (en) | A method and an apparatus for interoperation of a self-organized network | |
| RU2013146947A (en) | METHOD, NETWORK ACCESS CONTROL UNIT AND SYSTEM FOR RECEIVING AND SENDING LOAD INFORMATION | |
| CN104471980B (en) | Judge the method and device of different system table tennis | |
| CN103379536A (en) | Measurement reporting method and device, notification method and device and measurement reporting system | |
| WO2014094280A1 (en) | Method for cell handover and apparatus therefor | |
| CN108462980B (en) | Switching method and device of voice call network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |