CN110167056B - 5G cell capacity evaluation method and device - Google Patents
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Abstract
The embodiment of the invention discloses a 5G cell capacity evaluation method and device, relates to the technical field of communication, and aims to solve the technical problem that in the prior art, 5G cell transmission resources are wasted or insufficient due to the fact that the difference between a 5G cell throughput evaluation result and an actual situation is large. The embodiment of the invention can acquire the first distribution function of the reporting times of the CQI value of the cell to be evaluated from the 4G network of the cell to be evaluated, then acquire the second distribution function of the SINR in the 5G network according to the preset CQI value-5G SINR relation function and the first distribution function, acquire the evaluation throughput of the typical SINR, calculate the evaluation throughput of the typical SINR according to the preset step length, the second distribution function and the average throughput of the typical SINR, and finally take the sum result of the evaluation throughputs of all the typical SINRs as the throughput of the cell to be evaluated. The embodiment of the invention is used for 5G cell capacity evaluation.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a 5G cell capacity evaluation method and device.
Background
5G (5-Generation, fifth Generation mobile phone standard) is different from the traditional cellular mobile network, and the 5G NR base station is a novel base station formed by adopting high-power (200W), large-bandwidth (100MHz) and large-scale antenna technology and has strong computing power. For a good point (e.g., -85< RSRP (Reference Signal Receiving Power) ≦ -95dBm, 16dB ≦ SINR (Signal to Interference plus Noise Ratio) ≦ 24dB), a midpoint (e.g., -105dBm < RSRP < ≦ -95dBm, 11dB ≦ SINR ≦ 15dB), and a difference point (e.g., -115dBm ≦ RSRP < -105dBm, 3dB ≦ SINR ≦ 10dB) in a 5G or 4G (4-Generation) test point, the 5G NR base station may implement pairing between different test point users, such as good point user and midpoint user pairing, and user throughput may vary from user pairing to user, such as after good point user and midpoint user pairing, throughput may be 1.2 times or more that of independent transmissions. Therefore, the throughput evaluation of the 5G cell is no longer applicable to the evaluation of the good point throughput, the middle point throughput, and the bad point throughput in 4G.
In practical situations, the current method for evaluating the throughput of the 5G cell is to use about 50% of the cell limit capacity as the evaluation result of the throughput of the 5G cell, and the evaluation result is greatly different from the practical situation, which causes the situations that the transmission resources are wasted in a low data traffic area or the transmission resources are insufficient in a high data traffic area, the transmission resources are distributed unreasonably, and the network construction cost is high.
Disclosure of Invention
The embodiment of the invention provides a 5G cell capacity evaluation method and device, which are used for solving the technical problem that transmission resources of a 5G cell are wasted or insufficient due to the fact that the difference between a 5G cell throughput evaluation result and an actual situation is large in the prior art, the accuracy of the 5G cell throughput evaluation result can be effectively improved, the rationality of 5G cell transmission resource distribution is effectively improved, and the network construction cost is reduced.
In a first aspect, a method for evaluating capacity of a 5G cell is provided, including: acquiring a first distribution function of the reporting times of Channel Quality Indicator (CQI) values of a cell to be evaluated in a 4G network within preset time, and acquiring a second distribution function of the SINR of the cell to be evaluated in the 5G network according to the first distribution function and a preset CQI value-5G SINR relation function; the preset CQI value-5G SINR relation function is used for expressing the function relation between the reporting times of the CQI value in the 4G network and the SINR in the 5G network;
acquiring the average value of the total throughput of the multiple channel correlation degrees under the typical SINR as the average throughput of the typical SINR; wherein, the total throughput of the channel correlation degree under each typical SINR is the sum of the throughput of each terminal under a terminal included angle corresponding to the total throughput of the channel correlation degree, and the terminal included angle is an included angle formed by a transmitting signal end of every two terminals in all the terminals and a receiving signal end of an antenna on a base station;
calculating the estimated throughput of the typical SINR according to the preset step length, the second distribution function and the average throughput of the typical SINR, and taking the sum result of the estimated throughputs of all the typical SINRs as the throughput of the cell to be estimated; wherein, the interval between every two adjacent typical SINRs is preset step size.
Therefore, in the 5G cell capacity evaluation method provided by the embodiment of the invention, the first distribution function of the reporting times of the CQI values of the cell to be evaluated can be obtained from the 4G network of the cell to be evaluated, so as to obtain the actual distribution situation of users in the cell to be evaluated; obtaining a second distribution function of the SINR in the 5G network of the cell to be evaluated according to a preset CQI value-5G SINR relation function and the first distribution function so as to obtain the actual distribution condition of the SINR in the cell to be evaluated; then, an average value of the total throughputs of the multiple channel correlation degrees under the typical SINR is obtained and used as an average throughput of the typical SINR, an estimated throughput of the typical SINR is calculated according to a preset step size, a second distribution function and the average throughput of the typical SINR, and finally, a sum result of the estimated throughputs of all the typical SINRs is used as a throughput of the cell to be estimated. Therefore, the embodiment of the invention can evaluate the throughput of the 5G cell based on the actual distribution situation of the user and the channel correlation, greatly reduces the error between the evaluation result of the throughput of the 5G cell and the actual situation, improves the accuracy of the evaluation result of the throughput of the 5G cell, ensures that the transmission resource distribution of the 5G cell is more reasonable, and effectively saves the investment cost of network construction.
In a second aspect, a 5G cell capacity evaluation apparatus is provided, including:
the first acquisition module is used for acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network within the preset time, and acquiring a second distribution function of the SINR of the cell to be evaluated in the 5G network according to the first distribution function and a preset CQI value-5G SINR relation function; the preset CQI value-5G SINR relation function is used for expressing the functional relation between the reporting times of the CQI value in the 4G network and the SINR in the 5G network;
a second obtaining module, configured to obtain an average value of total throughputs of the multiple channel correlations under the typical SINR as an average throughput of the typical SINR; wherein, the total throughput of the channel correlation degree under each typical SINR is the sum of the throughput of each terminal under a terminal included angle corresponding to the total throughput of the channel correlation degree, and the terminal included angle is an included angle formed by the transmitting signal ends of every two terminals in all the terminals and the receiving signal end of an antenna on a base station;
the processing module is used for calculating the estimated throughput of the typical SINR according to the preset step length, the second distribution function acquired by the first acquisition module and the average throughput of the typical SINR acquired by the second acquisition module, and taking the sum result of the estimated throughputs of all the typical SINRs as the throughput of the cell to be estimated; wherein, the interval between every two adjacent typical SINRs is preset step size.
In a third aspect, a 5G cell capacity evaluation apparatus is provided, including: one or more processors; the processor is configured to execute computer program code in the memory, the computer program code comprising instructions to cause the 5G cell capacity estimation apparatus to perform the 5G cell capacity estimation method of the first aspect described above.
In a fourth aspect, there is provided a storage medium, wherein the storage medium stores instruction codes for performing the 5G cell capacity assessment method according to the first aspect.
In a fifth aspect, a computer program product is provided, wherein the computer program product comprises instruction codes for performing the 5G cell capacity assessment method according to the first aspect.
It can be understood that, the 5G cell capacity evaluation apparatus, the storage medium, and the computer product provided above are used to execute the method according to the first aspect provided above, and therefore, the beneficial effects achieved by the method according to the first aspect and the beneficial effects of the solutions in the following detailed description may be referred to, and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and the drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention.
Fig. 1 shows a flowchart of a method for evaluating 5G cell capacity according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating header information of MR data in a 5G cell capacity evaluation method according to an embodiment of the present invention;
fig. 3 is a CDF graph illustrating a first distribution function in a 5G cell capacity estimation method according to an embodiment of the present invention;
fig. 4 shows a CDF graph of a preset CQI value-5G SINR relationship function in a 5G cell capacity evaluation method provided in an embodiment of the present invention;
fig. 5 is a CDF graph illustrating a second distribution function in a 5G cell capacity estimation method according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating an included angle of a terminal provided by an embodiment of the invention;
fig. 7 is a functional block diagram of a 5G cell capacity evaluation apparatus according to an embodiment of the present invention;
fig. 8 is a functional block diagram of a 5G cell capacity evaluation apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application. The use of the terms first, second, etc. do not denote any order, and the terms first, second, etc. may be interpreted as names of the objects described. In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion.
Currently, 5G network deployment requires planning transmission resources of the 5G network using cell capacity. The conventional method for evaluating the throughput of the 5G cell is to use a cell limit capacity of about 50% as an evaluation result of the throughput of the 5G cell, and the evaluation result is greatly different from an actual situation because: in practical situations, a 5G NR base station is a novel base station formed by using high power (200W), large bandwidth (100MHz) and large-scale antenna technologies, and the 5G NR has Multiple subcarriers and can perform beamforming, so that a 5G network uses a working mode of a MU-MIMO (Multi-User Multiple-Input Multiple-Output) system (when processing downlink data, the MU-MIMO system can separate data streams of different users in advance by using a beamforming method at a transmitting end). However, the implementation of the operation mode of the MU-MIMO system depends on the channel characteristics of the system and the distribution characteristics of the user terminals, which results in that the throughput of the 5G network is related to the channel correlation and the actual distribution situation of the users, and at present, when the throughput of the 5G cell is evaluated, the channel correlation and the actual distribution situation of the users are considered to influence the throughput of the 5G cell, which results in that the transmission resources in the low data traffic area are wasted or the transmission resources in the high data traffic area are insufficient, the transmission resources of the cell are distributed unreasonably, and the network construction cost is high.
Based on the existing problems, an embodiment of the present invention provides a 5G cell capacity evaluation method, which is shown in fig. 1 and includes:
step S110: and acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network within the preset time.
Specifically, a CQI (Channel Quality Indicator) is an information Indicator of Channel Quality, a CQI value is used to indicate current Channel Quality, and when the CQI value is larger, the CQI value indicates that the Channel Quality is better; the minimum CQI value is 0, which indicates the worst channel quality. In specific implementation, there are various ways to obtain the reporting times of the CQI values, for example, the reporting times of the CQI values reported by the UE in the cell to be evaluated within the preset time may be directly counted, or MR (Measurement Report) data of the cell to be evaluated in the 4G network within the preset time may also be obtained, and the reporting times of the CQI values of the cell to be evaluated are extracted from the MR data, and the like.
In the embodiment of the present invention, it is preferable to acquire the number of reporting of the CQI value by using the MR data, as shown in fig. 2, where the header information of the MR data includes the number of reporting of the CQI value (that is, the number of reporting of the full-bandwidth CQI of the CQI value (0-15) on each air interface), and after the MR data is acquired, the number of reporting of the CQI value of the cell to be evaluated may be extracted from the MR data according to the header information of the MR data. The reporting times of the CQI values can be rapidly acquired through the MR data, and the acquisition efficiency of the reporting times of the CQI values is improved.
After the reporting times of the CQI values of the cell to be evaluated are obtained, the reporting times with the CQI value of 0 may be eliminated first, then, in the remaining CQI values, the ratio of the reporting times of each CQI value to the total number of the reporting times of all CQI values (i.e., the ratio corresponding to each CQI value, as shown in table 1) is obtained, and the relationship function of the reporting times of each CQI value and the ratio corresponding to the CQI value is obtained as the first distribution function.
TABLE 1
The first distribution function is used for expressing a functional relation between the reporting times of all CQI values in the cell to be evaluated and the occurrence probability of the reporting times of the CQI values, wherein the more the reporting times of the CQI values are, the more the number of the UE reporting the CQI values is, and the ratio corresponding to the CQI values can reflect the proportion of the number of the UE in a certain data flow area of the cell to be evaluated to the number of the UE in the cell to be evaluated, so that the actual distribution condition of users in the cell to be evaluated is reflected. In a specific implementation, the first distribution function may be represented by a functional relation or a functional relation curve, as shown in fig. 3, where fig. 3 shows a cumulative probability curve cdf (cumulative distribution function) of the CQI values fitted according to the reporting times of the CQI values and the ratio corresponding to the CQI values, where the horizontal axis represents the reporting times of the CQI values, and the vertical axis represents the ratio corresponding to the CQI values.
It should be understood that, in the embodiment of the present invention, the preset time may be set by a person skilled in the art according to practical situations, and the present invention is not limited to this, for example, measurement report MR data of a cell to be evaluated in a 4G network is obtained every 3 hours.
Step S120: and acquiring a second distribution function of the SINR of the cell to be evaluated in the 5G network according to the first distribution function and a preset CQI value-5G SINR relation function.
Specifically, the preset CQI value-5G SINR relationship function is used to represent a functional relationship between the number of reporting CQI values in the 4G network and the SINR in the 5G network. The preset CQI value-5G SINR relationship function may be obtained in a variety of ways, for example, simulation data of the number of reporting CQI values in the 4G network and the SINR in the 5G network may be obtained, then the functional relationship between the number of reporting CQI values in the 4G network and the SINR in the 5G network is estimated according to the obtained simulation data, or the number of reporting CQI values in the 4G network and the SINR in the 5G network of the cell to be estimated are directly obtained, then the functional relationship between the number of reporting CQI values in the 4G network and the SINR in the 5G network is estimated according to the obtained number of reporting CQI values in the 4G network and the SINR in the 5G network, and finally the estimation result is used as the preset CQI value-5G SINR relationship function. The functional relationship between the number of reporting CQI values in the 4G network and the SINR in the 5G network may be set by a person skilled in the art according to actual conditions, which is not limited in the present invention. In a preferred embodiment, the preset CQI value-5G SINR relationship function may specifically be: 1.9346 × 4G CQI value-6.799, wherein 5G SINR is SINR in 5G network; the 4G CQI value is the reporting times of the CQI value in the 4G network.
In specific implementation, referring to fig. 4, fig. 4 shows a CDF curve of a functional relationship between the reporting times of the CQI values in the 4G network and the SINR in the 5G network, which is fit to the obtained simulation data of the reporting times of the CQI values in the 4G network and the SINR in the 5G network, that is, the CDF curve includes: and presetting a CDF curve of a relation function of CQI value-5G SINR. The horizontal axis represents the reporting times of the CQI value in the 4G network, and the vertical axis represents the value of the SINR in the 5G network.
In this step, since the first distribution function is used to represent a functional relationship between the number of reporting times of each CQI value in the cell to be evaluated and the occurrence probability of the number of reporting times of the CQI value, a functional relationship between each SINR in the 5G network and the occurrence probability of the SINR can be obtained by fitting according to the first distribution function and a preset CQI value-5G SINR relationship function, and in this step, the functional relationship between each SINR in the 5G network and the occurrence probability of the SINR is used as a second distribution function to obtain an actual distribution condition of the SINR in the cell to be evaluated. In a specific implementation, the second distribution function can be expressed by the following formula: f (SINR) < a × SINR ^3+ b × SINR ^2+ b × SINR + d; the SINR is the SINR in a 5G network, a, b, c and d are fitting parameters respectively, a, b, c and d are different according to different cells to be evaluated, and x represents that the operational relationship is multiplication.
In a specific implementation, referring to fig. 5, fig. 5 shows a CDF curve of the second distribution function fitted according to fig. 3 and 4. Where the abscissa represents the value of SINR in a 5G network and the ordinate represents the probability of occurrence of the value of SINR.
Step S130: and acquiring the average value of the total throughput of the plurality of channel correlation degrees under the typical SINR as the average throughput of the typical SINR.
Specifically, the typical SINR is set by those skilled in the art according to actual circumstances. In this step, referring to table 2 (in table 2, a typical SINR is X, and X may be set by a person skilled in the art according to practical situations), the total throughput of channel correlation in each typical SINR is the sum of throughputs of each terminal under a terminal angle corresponding to the total throughput of channel correlation, that is, there is a total throughput of channel correlation corresponding to each terminal angle, for example, in table 2, the total throughput of channel correlation in angle 1 is M1, which is a1+ a2+ a3+ … + an; the total throughput of the channel correlation degree at the angle 2 is M2 ═ b1+ b2+ b3+ … + bn, the total throughput of the channel correlation degree at the angle k is Mk ═ x1+ x2+ x3+ … + xn, and so on. In this step, an average value of a plurality of channel correlations in the typical SINR is obtained and taken as an average throughput of the typical SINR. Referring to fig. 6, the terminal included angle is an included angle (i.e., an included angle α in fig. 6) formed by a transmitting signal end of each terminal (e.g., terminal 1 and terminal 2 in fig. 6) of every two terminals and a receiving signal end of an antenna on a base station, where the receiving signal end of the antenna on the base station is a vertex of the terminal included angle. The terminal angle and the number of terminals can be set by those skilled in the art according to practical situations, and the present invention is not limited thereto. In a specific implementation, the number of terminals is preferably greater than or equal to 4, so as to ensure that the ultimate throughput evaluation can be realized. In a specific implementation, in an optional manner, the size of the terminal included angle k may specifically be: and the terminal included angle k is 20-2k, wherein k is more than or equal to 0 and less than or equal to 10, and k is a natural number.
TABLE 2
In the embodiment of the invention, the channel correlation degree is changed by changing the included angle between the terminals, and the throughput of the terminal under each channel correlation degree and the total throughput of the channel correlation degree under each typical SINR are measured and recorded in advance, so as to obtain the average throughput of the typical SINR under each typical SINR.
Step S140: and calculating the estimated throughput of the typical SINR according to the preset step size, the second distribution function and the average throughput of the typical SINR, and taking the sum result of the estimated throughputs of all the typical SINRs as the throughput of the cell to be estimated.
Specifically, firstly, acquiring an SINR interval corresponding to a typical SINR according to a preset step length, where the typical SINR is a central point of the SINR interval, an interval length of the SINR interval is the preset step length, and the SINR interval is a closed interval; then, an interval upper limit and an interval lower limit of the SINR interval are obtained, a first distribution probability corresponding to the interval upper limit in a second distribution function and a second distribution probability corresponding to the interval lower limit in the second distribution function are determined according to a second distribution function, a difference value of the second distribution probability and the first distribution probability is obtained as a ratio of a typical SINR, and finally a product of an average throughput of the typical SINR and the ratio of the typical SINR is obtained as an estimated throughput of the typical SINR. The preset step size can be set by those skilled in the art according to practical situations, and the present invention is not limited to this.
For example, if the preset step size is 5 and the typical SINR is 5, the SINR interval corresponding to the typical SINR 5 is [2.5, 7.5], and the interval upper limit of the SINR interval is 2.5 and the interval lower limit is 7.5. If the second distribution function is F (SINR), the first distribution probability corresponding to the interval upper limit 2.5 is determined to be F (2.5) according to the second distribution function, and the second distribution probability corresponding to the interval upper limit 7.5 is determined to be F (7.5) according to the second distribution function, the ratio of typical SINR 5 is F (7.5) -F (2.5), and the estimated throughput of typical SINR 5 is 5 × [ F (7.5) -F (2.5) ].
The determination method of the preset step length may be various, for example, a corresponding numerical value of the preset step length input by the user may be directly obtained as the preset step length; alternatively, the preset step length may be determined according to all typical SINRs input by the user, as long as the preset step length is spaced between every two adjacent typical SINRs. For example, if the interval between adjacent typical SINRs in all typical SINRs input by the user is equal, the interval between every two adjacent typical SINRs in all typical SINRs may be used as a preset step length, or the maximum value and the minimum value in all typical SINRs input by the user are obtained, the interval length of the maximum value and the minimum value is obtained, the interval length is divided into a preset number of sub-interval lengths with equal length, and the sub-interval length is used as a preset step length, and so on.
Wherein, all the typical SINRs may at least include: at least one point in good points, at least one point in middle points and at least one point in poor points in the 5G test points; or, further, in order to improve the accuracy of the throughput of the cell to be evaluated, on the basis of including at least one of the good points, at least one of the middle points, and at least one of the bad points, the total typical SINR may further include: at least one of the super points, and at least one of the super difference points. The RSRP ranges and the SINR ranges of the super good points, the middle points, the poor points and the super poor points are determined according to actual conditions.
In the 5G cell capacity evaluation method provided by the embodiment of the invention, a first distribution function of the reporting times of the CQI value of the cell to be evaluated can be obtained from the 4G network of the cell to be evaluated so as to obtain the actual distribution condition of users in the cell to be evaluated; obtaining a second distribution function of SINR in the 5G network of the cell to be evaluated according to a preset CQI value-5G SINR relation function and the first distribution function so as to obtain the actual distribution condition of SINR in the cell to be evaluated; then, an average value of the total throughputs of the multiple channel correlation degrees under the typical SINR is obtained and used as an average throughput of the typical SINR, an estimated throughput of the typical SINR is calculated according to a preset step size, a second distribution function and the average throughput of the typical SINR, and finally, a sum result of the estimated throughputs of all the typical SINRs is used as a throughput of the cell to be estimated. Therefore, the embodiment of the invention can evaluate the throughput of the 5G cell based on the actual distribution condition and the channel correlation of the user, greatly reduces the error between the evaluation result of the throughput of the 5G cell and the actual condition, improves the accuracy of the evaluation result of the throughput of the 5G cell, and can evaluate the throughput of different cells according to the actual distribution condition and the channel correlation of the user under different cells, so that the transmission resource distribution of the 5G cell is more reasonable, and the investment cost of network construction is effectively saved.
An embodiment of the present invention further provides a 5G cell capacity evaluation apparatus, as shown in fig. 7, the apparatus includes:
a first obtaining module 71, configured to obtain a first distribution function of the reporting times of the CQI values of the cell to be evaluated in the 4G network within a preset time, and obtain a second distribution function of the SINR of the cell to be evaluated in the 5G network according to the first distribution function and a preset CQI value-5G SINR relation function; the preset CQI value-5G SINR relation function is used for expressing the function relation between the reporting times of the CQI value in the 4G network and the SINR in the 5G network.
Optionally, the first obtaining module is specifically configured to: acquiring measurement report MR data of a cell to be evaluated in a 4G network within preset time; and acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network according to the MR data.
A second obtaining module 72, configured to obtain an average value of the total throughput of the multiple channel correlations under the typical SINR as an average throughput of the typical SINR; wherein, the total throughput of the channel correlation degree under each typical SINR is the sum of the throughput of each terminal under the terminal included angle corresponding to the total throughput of the channel correlation degree, and the terminal included angle is the included angle between every two terminals in all terminals.
Specifically, the second obtaining module 72 may specifically be configured to: acquiring an SINR interval corresponding to the typical SINR according to a preset step length, wherein the typical SINR is the center point of the SINR interval, the interval length of the SINR interval is the preset step length, and the SINR interval is a closed interval; then, an interval upper limit and an interval lower limit of the SINR interval are obtained, a first distribution probability corresponding to the interval upper limit in a second distribution function and a second distribution probability corresponding to the interval lower limit in the second distribution function are determined according to a second distribution function, a difference value of the second distribution probability and the first distribution probability is obtained as a ratio of a typical SINR, and finally a product of an average throughput of the typical SINR and the ratio of the typical SINR is obtained as an estimated throughput of the typical SINR. The preset step length can be set by a person skilled in the art according to actual conditions, and the present invention is not limited to this.
Optionally, the preset CQI value-5G SINR relation function may specifically be: the 5G SINR is 1.9346 multiplied by 4G CQI takes the value-6.799; wherein, the 5G SINR is the SINR in the 5G network; the 4G CQI value is the reporting times of the CQI value in the 4G network.
Optionally, the number of the terminals is greater than or equal to 4.
A processing module 73, configured to calculate an estimated throughput of the typical SINR according to a preset step size, the second distribution function obtained by the first obtaining module 71, and the average throughput of the typical SINR obtained by the second obtaining module 72, and use a summation result of the estimated throughputs of all the typical SINRs as a throughput of the cell to be estimated; wherein, the interval between every two adjacent typical SINRs is preset step size.
All relevant contents of the steps related to the above method embodiments may be referred to the functional description of the corresponding functional module, and the functions thereof are not described herein again.
In the case of using an integrated module, the 5G cell capacity evaluating apparatus includes: the device comprises a storage unit, a processing unit and an interface unit. The processing unit is configured to control and manage operations of the 5G cell capacity evaluation apparatus, and for example, the processing unit is configured to support the 5G cell capacity evaluation apparatus to execute the steps in fig. 1. The interface unit is used for the interaction between the 5G cell capacity evaluation device and other devices; and the storage unit is used for storing the 5G cell capacity evaluation device code and data.
For example, the processing unit is a processor, the storage unit is a memory, and the interface unit is a communication interface. The 5G cell capacity evaluation apparatus is shown in fig. 8, and includes a communication interface 801, a processor 802, a memory 803, and a bus 804, where the communication interface 801 and the processor 802 are connected to the memory 803 through the bus 804.
The processor 802 may be a general-purpose Central Processing Unit (CPU), a microprocessor, an Application-Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to control the execution of programs in accordance with the teachings of the present disclosure.
The Memory 803 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
The memory 803 is used for storing application program codes for executing the scheme of the application, and the execution of the application program codes is controlled by the processor 802. Communication interface 801 is used to support the interaction of the 5G cell capacity assessment apparatus with other apparatuses. The processor 802 is configured to execute application program code stored in the memory 803 to implement the methods of embodiments of the present invention.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied in hardware or in software instructions executed by a processor. Embodiments of the present invention also provide a storage medium, which may include a memory for storing computer software instructions for a 5G cell capacity evaluation apparatus, including program code designed to perform a 5G cell capacity evaluation method. Specifically, the software instructions may be composed of corresponding software modules, and the software modules may be stored in a Random Access Memory (RAM), a flash Memory, a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a register, a hard disk, a removable hard disk, a compact disc Read Only Memory (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor.
The embodiment of the present invention further provides a computer program, where the computer program may be directly loaded into a memory and contains a software code, and the computer program is loaded and executed by a computer, so as to implement the above 5G cell capacity evaluation method.
Those skilled in the art will recognize that, in one or more of the examples described above, the functions described in this invention may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A5G cell capacity evaluation method is characterized by comprising the following steps:
acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of a cell to be evaluated in a 4G network within preset time, and acquiring a second distribution function of the SINR of the cell to be evaluated in a 5G network according to the first distribution function and a preset CQI value-5G SINR relation function; the preset CQI value-5G SINR relation function is used for expressing the function relation between the reporting times of the CQI value in the 4G network and the SINR in the 5G network;
acquiring an average value of a plurality of channel correlation degree total throughputs under a typical SINR as an average throughput of the typical SINR; wherein, the total throughput of the channel correlation degree under each typical SINR is the sum of the throughput of each terminal under a terminal included angle corresponding to the total throughput of the channel correlation degree, and the terminal included angle is an included angle formed by the transmitting signal ends of every two terminals in all terminals and the receiving signal end of an antenna on a base station;
calculating the estimated throughput of the typical SINR according to a preset step length, the second distribution function and the average throughput of the typical SINR, and taking the sum result of the estimated throughputs of all the typical SINRs as the throughput of the cell to be estimated; wherein the typical SINR adjacent to each other in every two sizes is separated by the preset step size.
2. The 5G cell capacity evaluation method according to claim 1, wherein the obtaining of the first distribution function of the number of reporting of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network within the preset time includes:
acquiring measurement report MR data of a cell to be evaluated in a 4G network within preset time;
and acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network according to the MR data.
3. The 5G cell capacity evaluation method according to claim 1, wherein the preset CQI value-5G SINR relation function is specifically: 5G SINR = 1.9346 × 4G CQI takes the value-6.799;
wherein, the 5G SINR is the SINR in the 5G network; the 4G CQI value is the reporting times of the CQI value in the 4G network.
4. The 5G cell capacity evaluation method of claim 1, wherein the number of terminals is greater than or equal to 4.
5. A 5G cell capacity evaluation apparatus, comprising:
the first acquisition module is used for acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network within the preset time, and acquiring a second distribution function of the SINR of the cell to be evaluated in the 5G network according to the first distribution function and a preset CQI value-5G SINR relation function; the preset relation function of the CQI value-5G SINR is used for expressing the functional relation between the reporting times of the CQI value in the 4G network and the SINR in the 5G network;
a second obtaining module, configured to obtain an average value of total throughputs of a plurality of channel correlations under a typical SINR as an average throughput of the typical SINR; wherein, the total throughput of the channel correlation degree under each typical SINR is the sum of the throughput of each terminal under a terminal included angle corresponding to the total throughput of the channel correlation degree, and the terminal included angle is an included angle formed by a transmitting signal end of every two terminals in all terminals and a receiving signal end of an antenna on a base station;
a processing module, configured to calculate an estimated throughput of the typical SINR according to a preset step size, the second distribution function obtained by the first obtaining module, and the average throughput of the typical SINR obtained by the second obtaining module, and use a summation result of the estimated throughputs of all the typical SINRs as a throughput of the cell to be estimated; wherein the typical SINR adjacent to each other in every two sizes is separated by the preset step size.
6. The 5G cell capacity evaluation device of claim 5, wherein the first obtaining module is specifically configured to: acquiring measurement report MR data of a cell to be evaluated in a 4G network within preset time; and acquiring a first distribution function of the reporting times of the Channel Quality Indicator (CQI) values of the cell to be evaluated in the 4G network according to the MR data.
7. The 5G cell capacity evaluation device according to claim 5 or 6, wherein the preset CQI value-5G SINR relation function is specifically: 5G SINR = 1.9346 × 4G CQI takes the value-6.799; wherein, the 5G SINR is the SINR in the 5G network; the 4G CQI value is the reporting times of the CQI value in the 4G network.
8. The 5G cell capacity evaluation device of claim 5 or 6, wherein the number of terminals is greater than or equal to 4.
9. A 5G cell capacity evaluation apparatus, comprising: one or more processors; the processor is configured to execute computer program code in the memory, the computer program code comprising instructions to cause the 5G cell capacity assessment apparatus to perform the 5G cell capacity assessment method according to any of claims 1-4.
10. A computer-readable storage medium having stored thereon instruction code for performing the 5G cell capacity assessment method according to any one of claims 1-4.
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| CN110719595B (en) * | 2019-09-17 | 2023-04-07 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110662225B (en) * | 2019-09-17 | 2022-04-08 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110753353B (en) * | 2019-09-17 | 2022-06-07 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110753352B (en) * | 2019-09-17 | 2022-04-08 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110650483B (en) * | 2019-09-17 | 2022-08-12 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110719594B (en) * | 2019-09-17 | 2023-05-16 | 中国联合网络通信集团有限公司 | Equipment type selection method and device |
| CN110636512B (en) * | 2019-09-17 | 2022-04-08 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110708703B (en) * | 2019-09-17 | 2022-04-12 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN110677206B (en) * | 2019-09-17 | 2021-09-14 | 中国联合网络通信集团有限公司 | Equipment model selection method and device |
| CN111278044A (en) * | 2020-01-10 | 2020-06-12 | 四川豪威尔信息科技有限公司 | 5G cell capacity evaluation method and device |
| CN112333754B (en) * | 2020-11-27 | 2023-05-26 | 中国联合网络通信集团有限公司 | Method and device for estimating number of accessible users |
| CN112512077B (en) * | 2020-12-15 | 2023-08-11 | 中国联合网络通信集团有限公司 | Uplink rate evaluation method and device |
| CN112752291B (en) * | 2020-12-15 | 2022-12-13 | 中国联合网络通信集团有限公司 | Uplink rate evaluation method and device |
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