CN111371537A - Method, device and equipment for optimizing cell carrier aggregation parameters and storage medium - Google Patents
Method, device and equipment for optimizing cell carrier aggregation parameters and storage medium Download PDFInfo
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- CN111371537A CN111371537A CN201811600658.0A CN201811600658A CN111371537A CN 111371537 A CN111371537 A CN 111371537A CN 201811600658 A CN201811600658 A CN 201811600658A CN 111371537 A CN111371537 A CN 111371537A
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Abstract
The invention discloses a method, a device, equipment and a storage medium for optimizing cell carrier aggregation parameters. The method for optimizing the cell carrier aggregation parameters comprises the following steps: acquiring network management statistical data of a target cell within preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of UE, the carrier aggregation configuration proportion of UE and the maximum number of users with data transmission; if the average utilization rate of the downlink PRB is greater than the average utilization rate threshold, the CA activation threshold is increased; if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, the number of the available users of the CA and the number of the available resources of the CA are adjusted or the CA activation threshold is reduced according to the network management statistical data. According to the embodiment of the invention, the cell CA parameter can be dynamically adjusted according to the network management statistical data so as to optimize the cell CA parameter and achieve the purpose of balancing the user perception.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a method, a device, equipment and a storage medium for optimizing cell carrier aggregation parameters.
Background
With the popularization of mobile networks, the number of users of the mobile networks is rapidly increased, the daily average flow of a single cell in a dense urban area can reach more than 30GB, and the Resource utilization rate of a cell system Resource Block (PRB) can also reach more than 99% in busy hours, which leads to the rapid reduction of user perception. The existing method generally expands the capacity of a cell and simultaneously opens a Carrier Aggregation (CA) function of the cell to ensure that a user can obtain better experience.
However, the relevant parameters of the CA function of the existing network are generally set uniformly, and for cells where users increase rapidly, since the activation threshold of the secondary cell (Scell) is not changed, more CA users activate the secondary cell, so that a single user may consume too many PRB resources, thereby affecting the perception of using users that do not support the CA function. In addition, for cells with fewer users, the secondary cell (Scell) cannot be activated due to the excessively high activation threshold, and thus the CA function cannot be fully performed.
The existing method can only optimize the cell CA parameters manually: firstly, confirming a secondary carrier configuration related parameter value, wherein the secondary carrier configuration related parameter comprises: an auxiliary carrier activation/deactivation threshold and the number of available CA users configured in a cell; secondly, judging the current CA User proportion according to the User Equipment (UE) carrier aggregation support proportion in the network management statistical data; and finally, optimizing the CA scheduling mode and parameter configuration according to the UE carrier aggregation support proportion:
a. for the area with high CA user ratio, if the equipment capability supports, adjusting the CA scheduling mode (according to the equipment manufacturer supporting capability), and simultaneously increasing the difficulty of the CA user for activating the auxiliary carrier wave through the auxiliary carrier wave activation related parameter (the auxiliary carrier wave activation threshold);
b. for the area with low CA user occupation ratio, the CA scheduling mode is adjusted (according to the support capability of the equipment manufacturer), and meanwhile, the difficulty of the CA user for activating the auxiliary carrier is reduced through the auxiliary carrier activation related parameters (the auxiliary carrier activation threshold).
The existing method for optimizing cell CA parameters has the following disadvantages:
because the network is changed in real time, the UE is updated continuously, and the number of users in the cell supporting the CA function may be different every day, the method is time-consuming and more labor-consuming. Moreover, the counted ratio of CA users in the cell is only a relative value, and is often changed, which results in coarse data. In addition, each cell parameter configuration is different and needs to be updated in real time or regularly, and the method is not suitable for personalized configuration of the cells, is not beneficial to network management and is not beneficial to improvement of optimization work based on user perception.
Disclosure of Invention
The embodiment of the invention provides a cell carrier aggregation parameter optimization method, a device, equipment and a storage medium, which can dynamically adjust cell CA parameters according to network management statistical data so as to optimize the cell CA parameters and achieve the aim of balancing user perception.
In one aspect, an embodiment of the present invention provides a method for optimizing cell carrier aggregation parameters, including:
acquiring network management statistical data of a target cell within preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of UE, the carrier aggregation configuration proportion of UE and the maximum number of users with data transmission;
if the average utilization rate of the downlink PRB is greater than the average utilization rate threshold, the CA activation threshold is increased;
if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, the number of the available users of the CA and the number of the available resources of the CA are adjusted or the CA activation threshold is reduced according to the network management statistical data.
Further, the average utilization threshold is 90%.
Further, increasing the CA activation threshold includes:
the setting value of the CA activation threshold is increased by 5% or an integer multiple of 5%.
Further, according to the network management statistical data, adjusting the number of available users of the CA, the number of available resources of the CA, or reducing the CA activation threshold includes:
calculating to obtain the user number of the current configurable CA according to the product of the UE carrier aggregation support proportion and the maximum number of users with data transmission;
if the number of the current users of the configurable CA is larger than the number of the current set available users of the CA, adjusting the number of the available users of the CA;
and if the number of the current users of the configurable CA is less than or equal to the number of the current set available CA users, adjusting the number of the available CA resources or reducing the CA activation threshold according to the network management statistical data.
Further, adjusting the number of available users of the CA includes:
and adjusting the number of the available users of the CA according to a cell load index and a cell basic index, wherein the cell load index comprises the average utilization rate of the downlink PRB, the maximum number of users with data transmission and downlink flow, and the cell basic index comprises an access success rate, a disconnection rate and a switching success rate.
Further, according to the cell load index and the cell basic index, adjusting the number of available users of the CA includes:
setting a cell load index and a weighted value of each parameter of a cell basic index;
calculating the adjustment strength of the number of the CA available users according to the weight value of each parameter;
calculating the number of available CA users to be adjusted according to the adjustment force, the number of users of the current configurable CA and the number of currently set available CA users;
and rounding the calculated adjusted CA available user number, and adjusting the CA available user number according to the rounded numerical value.
Further, according to the network management statistical data, adjusting the number of available resources of the CA or reducing the CA activation threshold includes:
judging whether the available CA resources are limited or not according to the difference value of the UE carrier aggregation support proportion and the UE carrier aggregation configuration proportion;
if the available resources of the CA are limited, adjusting the number of the available resources of the CA;
and if the available resources of the CA are not limited, reducing the CA activation threshold.
Further, determining whether the available resources of the CA are limited comprises:
judging whether the difference value of the UE carrier aggregation support proportion and the UE carrier aggregation configuration proportion is 0 or not;
if the difference is 0, determining that the available resources of the CA are not limited;
and if the difference is not 0, determining that the available resources of the CA are limited.
Further, adjusting the number of available resources of the CA includes:
and adding the difference value by using the currently set number of the available CA resources, and taking the added value as the new number of the available CA resources.
Further, lowering the CA activation threshold includes:
the set value of the CA activation threshold is reduced by 5% or an integer multiple of 5%.
In another aspect, an embodiment of the present invention provides a device for optimizing cell carrier aggregation parameters, where the device includes:
the data acquisition unit is configured to acquire network management statistical data of a target cell within preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of UE, the carrier aggregation configuration proportion of UE and the maximum number of users with data transmission;
a parameter optimization unit configured to increase a CA activation threshold if an average utilization rate of a downlink PRB is greater than an average utilization rate threshold; if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, the number of the available users of the CA and the number of the available resources of the CA are adjusted or the CA activation threshold is reduced according to the network management statistical data.
In another aspect, an embodiment of the present invention provides a cell carrier aggregation parameter optimization device, where the device includes: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the cell carrier aggregation parameter optimization method described above.
In another aspect, an embodiment of the present invention provides a storage medium, where computer program instructions are stored on the storage medium, and when the computer program instructions are executed by a processor, the method for optimizing cell carrier aggregation parameters is implemented.
The cell carrier aggregation parameter optimization method, device, equipment and storage medium of the embodiment of the invention can improve the CA activation threshold or adjust the number of available CA users and the number of available CA resources or reduce the CA activation threshold according to the network management statistical data by using the comparison result of the average utilization rate of the downlink PRB in the acquired network management statistical data and the average utilization rate threshold, thereby adjusting the number of the activated CA users in the auxiliary cell of the CA cell, ensuring the user sensing balance and maximizing the network resource utilization rate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for optimizing a cell carrier aggregation parameter according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for optimizing a cell carrier aggregation parameter according to another embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for adjusting the number of available users of a CA according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for optimizing a cell carrier aggregation parameter according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of a cell carrier aggregation parameter optimization apparatus according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of a cell carrier aggregation parameter optimization device according to an embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is 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 apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In order to solve the problem of the prior art, embodiments of the present invention provide a method, an apparatus, a device, and a storage medium for optimizing cell carrier aggregation parameters. First, a method for optimizing a cell carrier aggregation parameter provided in an embodiment of the present invention is described below.
Fig. 1 shows a flowchart of a method for optimizing cell carrier aggregation parameters according to an embodiment of the present invention. As shown in fig. 1, the method for optimizing cell carrier aggregation parameters includes:
s110, acquiring network management statistical data of a target cell within preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of UE, the carrier aggregation configuration proportion of UE and the maximum number of users with data transmission;
s120, if the average utilization rate of the downlink PRB is greater than the average utilization rate threshold, improving the CA activation threshold;
and S130, if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, adjusting the number of the available users of the CA and the number of the available resources of the CA or reducing the CA activation threshold according to the network management statistical data.
The embodiment of the invention optimizes the cell CA parameters according to the Self-optimization thought of a Self-Organizing Network (SON), can identify the user condition of the LTE Network by using the acquired Network management statistical data, and particularly can improve the CA activation threshold or adjust the number of available CA users and the number of available CA resources or reduce the CA activation threshold according to the Network management statistical data by using the comparison result of the average utilization rate of downlink PRBs and the average utilization rate threshold, thereby achieving the purpose of Self-optimizing the cell CA parameters, adjusting the number of the activated CA users of the auxiliary cell of the CA cell, ensuring the user perception balance and maximizing the Network resource utilization rate.
In the embodiment of the invention, because the average utilization rate of the downlink PRB, the carrier aggregation support ratio of the UE, the carrier aggregation configuration ratio of the UE and the maximum number of users with data transmission represent the service condition of the target cell and the relevant condition of the cell CA, the cell CA parameters can be optimized based on the average utilization rate of the downlink PRB, the carrier aggregation support ratio of the UE, the carrier aggregation configuration ratio of the UE and the maximum number of users with data transmission.
The utilization rate of the downlink PRB reflects the use condition of the downlink shared physical resource, and the higher the utilization rate of the downlink PRB is obtained according to the analysis of the whole network telephone traffic model, the lower the rate of the UE is. When the downlink PRB utilization is greater than 90%, the rate of the single-user UE is lower than 2 Mbps. If the rate of a single user UE is lower than 2Mbps and is set as the lower limit of the user experience, the average utilization threshold of the average utilization of the downlink PRBs of the target cell needs to be set to 90%.
Therefore, in the embodiment of the present invention, the average utilization threshold may be 90%. However, it should be noted that in other embodiments of the present invention, the average utilization threshold may be set to other values according to the actual conditions of the network and the rate of the UE expected to be the user.
In step S120 of the embodiment of the present invention, if the average utilization rate of the downlink PRB is greater than the average utilization rate threshold, it indicates that the average utilization rate of the downlink PRB is too high. When the average utilization rate of the downlink PRB is high, the CA user occupies the resources of the primary and secondary cells at the same time, which leads to worse perception of the non-CA user. Therefore, the number of CA active users needs to be reduced to reduce the occupation of resources by CA users.
The CA activation threshold (traffic volume) represents a threshold for activating a secondary cell (SCell), the smaller the CA activation threshold setting, the more easily the SCell is activated, and the larger the CA activation threshold setting, the less easily the SCell is activated. Therefore, in step S120 of the embodiment of the present invention, the CA activation threshold needs to be increased, and the CA secondary cell activation difficulty needs to be increased, so as to reduce the number of CA activated users, thereby ensuring the non-CA user perception balance.
In this embodiment of the present invention, a specific method for increasing the CA activation threshold may include:
the setting value of the CA activation threshold is increased by 5% or an integer multiple of 5%.
Fig. 2 is a flowchart illustrating a method for optimizing cell carrier aggregation parameters according to another embodiment of the present invention. As shown in fig. 2, in step S130, according to the network management statistical data, the specific method for adjusting the number of available users of the CA, the number of available resources of the CA, or reducing the CA activation threshold may include:
s210, if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, calculating to obtain the number of users of the current configurable CA according to the product of the UE carrier aggregation support proportion and the maximum number of users with data transmission;
s220, if the number of the current users of the configurable CA is larger than the number of the current set available users of the CA, adjusting the number of the available users of the CA;
and S230, if the number of the current users of the configurable CA is less than or equal to the number of the current set available CA users, adjusting the number of the available CA resources or reducing the CA activation threshold according to the network management statistical data.
The number of available users of CA represents the number of base station configurable secondary cells (scells). After the number of available users of the CA is set, the occupation of resources by a secondary cell (SCell) can be limited by limiting the number of the configurable secondary cells (SCells) on the base station.
In step S220 of the embodiment of the present invention, if the number of users of the currently configurable CA is greater than the number of currently set available users of the CA, it is proved that the number of available users of the CA limits the configuration of the user auxiliary cell, and the number of available users of the CA needs to be adjusted. If the number of the current users of the configurable CA is smaller than or equal to the number of the current set available users of the CA, the number of the available users of the CA is proved not to be the limiting factor, so that the number of the available resources of the CA is continuously adjusted or the CA activation threshold is reduced according to the network management statistical data.
In the embodiment of the invention, the number of the available users of the CA is the maximum configurable number of the auxiliary carriers during the configuration of the CA auxiliary carriers, so that when the number of the currently configurable users of the CA is larger than the currently set number of the available users of the CA, the configuration limit of the CA auxiliary cell can be removed by increasing the number of the available users of the CA. Specifically, the specific method for adjusting the number of available users of the CA may be:
and adjusting the number of the available users of the CA according to the cell load index and the cell basic index. The cell load index comprises the average utilization rate of downlink PRB, the maximum number of users with data transmission and downlink flow, and the cell basic indexes comprise an access success rate, a disconnection rate and a switching success rate.
Fig. 3 is a flowchart illustrating a method for adjusting the number of available users of a CA according to an embodiment of the present invention. As shown in fig. 3, in step S220, a specific method for adjusting the number of available users of the CA according to the cell load index and the cell basic index may include:
s221, setting cell load indexes and weight values of all parameters of cell basic indexes;
s222, calculating the adjustment strength of the number of the available users of the CA according to the weight value of each parameter;
s223, calculating the number of available CA users to be adjusted according to the adjustment force, the number of users of the current configurable CA and the number of currently set available CA users;
and S224, rounding the calculated adjusted number of the available users of the CA, and adjusting the number of the available users of the CA according to the rounded numerical value.
Assuming that the number of available users of the CA currently set is M, the number of users of the current configurable CA obtained by using the maximum number of users with data transmission plus the carrier aggregation support proportion of the UE is N, and the adjustment percentage of the number of available users of the CA is W%. The W% is calculated by the weight of the cell load index and the cell basic index which respectively account for 50%, and specifically is as follows:
1. by judging the cell load index, the cell load index adjustment weight can be output, the weight of the cell load index adjustment weight is 50%, and the method comprises the following steps:
the weight of the maximum number of users A with data transmission is 15%, the weight of the average utilization rate B of the downlink PRB is 15% and the weight of the downlink flow C is 20%.
The weight value range of each parameter of the cell load index is suggested as follows:
weight of maximum number of users with data transmission A0-15%: the value range [ 100-400 ];
weight of downlink PRB average utilization rate B is 0-15%: the value range is from 10 percent to 90 percent;
weight of downlink traffic C0-20%: the value range is 0.1 to 3, and the unit is GB.
The calculation formula corresponding to the weight of each parameter of the cell load index is as follows:
(A-10)/200*15％
(B-10％)/40％*15％
(C-0.1)/1.5*20％
2. the cell basic index is judged, the cell basic index adjustment weight can be output, the weight of the cell basic index adjustment weight is 50%, and the method comprises the following steps:
the weight of the access success rate E is 20%, the weight of the drop rate F is 15%, and the weight of the handover success rate G is 15%.
The weight value range of each parameter of the cell basic index is suggested as follows:
weight of access success rate E20%: the value range is (0-99%);
weight of disconnection rate F15%: the value range is (0-1%);
weight of handover success rate G15%: the value range is 0-99%.
The calculation formula corresponding to the weight of each parameter of the cell basic index is as follows:
MAX(E,99)/99％*20％
-MAX(F,1)/1％*15％
MAX(G,99)/99％*15％
3. according to the above calculation formula corresponding to the weight of each parameter of the cell load index and the cell basic index, the adjustment percentage W% of the number of available users of CA can be calculated:
W％＝MIN((A-10)/200*15％,15％)+MIN((B-10％)/40％*15％,15％)+MIN((C-0.1)/1.5*20％,20％)+MAX(E,99)/99％*20％+(-MAX(F,1)/1％*15％)+MAX(G,99)/99％*15％
after the adjustment percentage W% of the number of the available users of the CA is calculated, the number of the available users of the CA needing to be adjusted can be calculated to be W% + (N-M) + N, INT (W% + (N-M) + N) is obtained by integrating the calculated number of the available users of the CA, and the number of the available users of the CA is adjusted by utilizing the proved numerical value INT (W% + (N-M) + N), so that the number of the available users of the CA can be fully adjusted within the range of the maximum number of the available users of the CA in a cell.
Fig. 4 is a flowchart illustrating a method for optimizing cell carrier aggregation parameters according to yet another embodiment of the present invention. As shown in fig. 4, in step S230, according to the network management statistical data, a specific method for adjusting the number of available resources of the CA or reducing the CA activation threshold may include:
s310, if the number of the current users of the configurable CA is smaller than or equal to the number of the current set available users of the CA, judging whether the available resources of the CA are limited according to the difference value of the carrier aggregation support proportion of the UE and the carrier aggregation configuration proportion of the UE;
s320, if the available CA resources are limited, adjusting the number of the available CA resources;
and S330, if the available CA resources are not limited, reducing the CA activation threshold.
In the embodiment of the invention, if the number of the available users of the CA is not the configuration limiting factor of the CA auxiliary cell, the available resources of the CA can be continuously evaluated. And allocating resource consumption allowance according to percentage by using available resources of the cell CA, wherein the resource consumption allowance is used as a threshold for judging whether to allocate a secondary cell (Scell), and once the threshold is reached, the allocation of a new SCell is stopped.
In step S310 of the embodiment of the present invention, a specific method for determining whether the available CA resources are limited may include:
judging whether the difference value of the UE carrier aggregation support proportion and the UE carrier aggregation configuration proportion is 0 or not;
if the difference is 0, determining that the available resources of the CA are not limited;
and if the difference is not 0, determining that the available resources of the CA are limited.
Specifically, if the difference is 0, it indicates that all users supporting CA in the cell have configured the secondary carrier, and the available resources of CA are not limited. If the difference is not 0, it indicates that there is a CA user under the cell that does not configure the secondary cell, and if the number of CA available users is not limited, the CA available resources are limited.
In step S320 in the embodiment of the present invention, a specific method for adjusting the number of available resources of the CA may include:
and adding the difference to the currently set number of available CA resources, and taking the added value as a new number of available CA resources, that is, the new number of available CA resources is equal to the currently set number of available CA resources + (UE carrier aggregation support ratio-UE carrier aggregation configuration ratio).
If the available resources of the CA are not limited, the situation that the load of the target cell is not high and the number of the available users of the CA and the available resources of the CA are not limiting conditions is indicated, and at the moment, the CA activation threshold (traffic) can be reduced so as to reduce the activation difficulty of the CA auxiliary cell, increase the users of the CA of the cell and improve the rate of user UE. In step S330 of the embodiment of the present invention, a specific method for reducing the CA activation threshold may include: the set value of the CA activation threshold is reduced by 5% or an integer multiple of 5%.
In the embodiment of the invention, the preset time is the same as the time interval of carrier aggregation parameter optimization, the carrier aggregation parameter optimization can be carried out on a target cell once every 15 minutes or longer (the time can be set), the cell CA parameter is adjusted, the cell CA related parameter for opening the CA function is ensured to accord with the actual traffic condition of the cell, the occupation of single terminal resources is reduced under the condition that users are increased, the aim of reducing the CA activation threshold is fulfilled under the condition that the users are reduced, the cell CA parameter self-optimization is realized, and the network resources are utilized to the maximum extent while the user perception is ensured.
Fig. 5 is a schematic structural diagram illustrating a cell carrier aggregation parameter optimization apparatus according to an embodiment of the present invention. As shown in fig. 5, the apparatus for optimizing cell carrier aggregation parameters includes:
a data obtaining unit 410, configured to obtain network management statistical data of a target cell within a preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of UE, the carrier aggregation configuration proportion of UE and the maximum number of users with data transmission;
a parameter optimization unit 420 configured to increase the CA activation threshold if the average utilization of the downlink PRBs is greater than the average utilization threshold; if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, the number of the available users of the CA and the number of the available resources of the CA are adjusted or the CA activation threshold is reduced according to the network management statistical data.
In the embodiment of the present invention, the data obtaining unit 410 is mainly used for establishing a connection with a network manager, and periodically obtaining the network management statistical data required for evaluation from the network manager.
The embodiment of the invention optimizes the cell CA parameters according to the Self-optimization thought of a Self-Organizing Network (SON), can identify the user condition of the LTE Network by using the acquired Network management statistical data, and particularly can improve the CA activation threshold or adjust the number of available CA users and the number of available CA resources or reduce the CA activation threshold according to the Network management statistical data by using the comparison result of the average utilization rate of downlink PRBs and the average utilization rate threshold, thereby achieving the purpose of Self-optimizing the cell CA parameters, adjusting the number of the activated CA users of the auxiliary cell of the CA cell, ensuring the user perception balance and maximizing the Network resource utilization rate.
In this embodiment of the present invention, the parameter optimization unit 420 may be further configured to calculate, if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, to obtain the number of users of the current configurable CA according to a product of the UE carrier aggregation support proportion and the maximum number of users having data transmission; if the number of the current users of the configurable CA is larger than the number of the current set available users of the CA, adjusting the number of the available users of the CA; and if the number of the current users of the configurable CA is less than or equal to the number of the current set available CA users, adjusting the number of the available CA resources or reducing the CA activation threshold according to the network management statistical data.
In this embodiment of the present invention, the parameter optimization unit 420 may be further configured to, if the number of users of the current configurable CA is less than or equal to the number of currently set available users of the CA, determine whether the available CA resources are limited according to a difference between a UE carrier aggregation support ratio and a UE carrier aggregation configuration ratio; if the available resources of the CA are limited, adjusting the number of the available resources of the CA; and if the available resources of the CA are not limited, reducing the CA activation threshold.
In the embodiment of the present invention, the parameter optimization unit 420 may initiate a cell CA parameter optimization procedure every predetermined time, so that the data acquisition unit 410 acquires the network management statistical data within the predetermined time. The predetermined time may be set to 15 minutes, or may be set by itself as needed. If the parameter optimization unit 420 does not receive the network management statistical data, it will re-initiate the cell CA parameter optimization procedure 5 minutes (which can be set by itself as needed) after the time of initiating the cell CA parameter optimization procedure. When the parameter optimization unit 420 initiates the cell CA parameter optimization procedure, it may send an acquisition instruction to the data acquisition unit 410, where the acquisition instruction includes a field of network management statistical data required for evaluation and a network management storage location of the field.
In the embodiment of the present invention, a parameter adjusting unit may be further included, and the parameter adjusting unit may receive an adjusting instruction issued by the parameter optimizing unit 420 according to the processing result. After receiving the adjustment instruction, the parameter adjustment unit can adjust the corresponding cell CA parameter and feed back the result, thereby realizing the intelligent adjustment of the cell CA parameter.
In order to establish a connection between the data obtaining unit 410 and the network manager and obtain the required network management statistical data, in the embodiment of the present invention, the network management IP address and the corresponding network management storage location of the required index also need to be configured.
In the embodiment of the present invention, the device may further include a data storage unit, configured to store the network management statistical data for evaluation, the network management IP address, and the storage location of the network management corresponding to the required index, where the network management statistical data is acquired from the network management by the data acquisition unit 410.
Fig. 6 shows a schematic hardware structure diagram of a cell carrier aggregation parameter optimization device according to an embodiment of the present invention.
The device for optimizing carrier aggregation parameters in a cell may comprise a process 501 and a memory 502 in which computer program instructions are stored.
Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement any one of the cell carrier aggregation parameter optimization methods in the above embodiments.
In one example, the cell carrier aggregation parameter optimization device may also include a communication interface 503 and a bus 510. As shown in fig. 6, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 to complete communication therebetween.
The communication interface 503 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.
The cell carrier aggregation parameter optimization device may perform the cell carrier aggregation parameter optimization method in the embodiment of the present invention, so as to implement the cell carrier aggregation parameter optimization method and apparatus described in conjunction with the above drawings.
In addition, in combination with the method for optimizing the cell carrier aggregation parameter in the foregoing embodiment, an embodiment of the present invention may provide a storage medium to implement. The storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any one of the cell carrier aggregation parameter optimization methods in the above embodiments.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (13)
1. A method for optimizing cell carrier aggregation parameters, comprising:
acquiring network management statistical data of a target cell within preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of the UE, the carrier aggregation configuration proportion of the UE and the maximum number of users with data transmission;
if the average utilization rate of the downlink PRB is greater than the average utilization rate threshold, improving a CA activation threshold;
and if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, adjusting the number of available CA users and the number of available CA resources or reducing the CA activation threshold according to the network management statistical data.
2. The method of claim 1, wherein the average utilization threshold is 90%.
3. The method of claim 1, wherein raising the CA activation threshold comprises:
the setting value of the CA activation threshold is increased by 5% or an integer multiple of 5%.
4. The method of claim 1, wherein adjusting the number of available users of CA, the number of available resources of CA, or lowering the CA activation threshold according to the network management statistics comprises:
calculating the number of users of the current configurable CA according to the product of the UE carrier aggregation support proportion and the maximum number of users with data transmission;
if the number of the current users of the configurable CA is larger than the number of the current set available users of the CA, adjusting the number of the available users of the CA;
and if the number of the current users of the configurable CA is less than or equal to the number of the current set available CA users, adjusting the number of the available CA resources or reducing the CA activation threshold according to the network management statistical data.
5. The method of claim 4, wherein adjusting the number of available users for CA comprises:
and adjusting the number of the available users of the CA according to a cell load index and a cell basic index, wherein the cell load index comprises the average utilization rate of downlink PRBs (physical resource blocks), the maximum number of users with data transmission and downlink flow, and the cell basic index comprises an access success rate, a drop rate and a switching success rate.
6. The method of claim 5, wherein the adjusting the number of available users of the CA according to the cell load index and the cell basis indicator comprises:
setting the cell load index and the weight value of each parameter of the cell basic index;
calculating the adjustment strength of the CA available user number according to the weight value of each parameter;
calculating the number of available CA users to be adjusted according to the adjustment strength, the number of users of the current configurable CA and the number of currently set available CA users;
and rounding the calculated adjusted CA available user number, and adjusting the CA available user number according to a numerical value obtained by rounding.
7. The method of claim 4, wherein the adjusting the number of available CA resources or reducing the CA activation threshold according to the webmaster statistics comprises:
judging whether available CA resources are limited or not according to the difference value of the UE carrier aggregation support proportion and the UE carrier aggregation configuration proportion;
if the available CA resources are limited, adjusting the number of the available CA resources;
and if the available CA resources are not limited, reducing the CA activation threshold.
8. The method of claim 7, wherein determining whether CA available resources are limited comprises:
judging whether the difference value of the UE carrier aggregation support proportion and the UE carrier aggregation configuration proportion is 0 or not;
if the difference is 0, determining that the available CA resources are not limited;
and if the difference is not 0, determining that the available resources of the CA are limited.
9. The method of claim 7, wherein adjusting the number of available CA resources comprises:
and adding the difference value by using the currently set number of the CA available resources, and taking the added value as the new number of the CA available resources.
10. The method of claim 7, wherein lowering the CA activation threshold comprises:
the set value of the CA activation threshold is reduced by 5% or an integer multiple of 5%.
11. An apparatus for optimizing cell carrier aggregation parameters, the apparatus comprising:
the data acquisition unit is configured to acquire network management statistical data of a target cell within preset time; the network management statistical data at least comprises the average utilization rate of downlink PRBs, the carrier aggregation support proportion of the UE, the carrier aggregation configuration proportion of the UE and the maximum number of users with data transmission;
a parameter optimization unit configured to increase a CA activation threshold if the average utilization of the downlink PRBs is greater than an average utilization threshold; and if the average utilization rate of the downlink PRB is less than or equal to the average utilization rate threshold, adjusting the number of available CA users and the number of available CA resources or reducing the CA activation threshold according to the network management statistical data.
12. A cell carrier aggregation parameter optimization device, the device comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method for cell carrier aggregation parameter optimization according to any of claims 1-10.
13. A storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method for cell carrier aggregation parameter optimization according to any one of claims 1 to 10.
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