Base station energy efficiency test method, device, equipment and storage medium

Abstract

The invention discloses a model base station energy efficiency test method, apparatus and device, and a storage medium, relates to the technical field of communication, and aims to solve the problem of poor accuracy of a test result obtained in the prior art. The base station energy efficiency test method comprises the steps that at least one service model is acquired, and the service model is set according to different load conditions under the actual operation condition of a 5G network; within the first test duration, obtaining the terminal receiving data volume corresponding to each service model and the energy consumption of the to-be-tested base station; within a second test duration, according to the terminal receiving data volume corresponding to each service model and the energy consumption of the to-be-tested base station, obtaining the total terminal receiving data volume of all the service models and the total energy consumption of the to-be-tested base station; and obtaining the 5G base station operation energy efficiency of the to-be-detected base station according to the total terminal receiving data volume and the total energy consumption of the to-be-detected base station.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a base station energy efficiency testing method, apparatus, device and storage medium. Background Art

[0002] Currently, base station energy efficiency testing primarily involves conducting energy efficiency tests in the laboratory using a service model based on historical operational data from existing base stations. This method yields results with limited accuracy, failing to meet practical testing requirements. Summary of the Invention

[0003] The embodiments of the present application provide a base station energy efficiency testing method, apparatus, device, and storage medium to solve the problem of poor accuracy of test results obtained in the prior art.

[0004] In a first aspect, an embodiment of the present application provides a base station energy efficiency testing method, comprising:

[0005] Obtain at least one service model, where the service model is set according to different load conditions under actual operation of the 5G network;

[0006] During the first test duration, obtaining the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each of the service models;

[0007] During the second test duration, according to the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each of the service models, the total amount of data received by the terminal and the total energy consumption of the base station to be tested of all the service models are obtained;

[0008] According to the total amount of data received by the terminal and the total energy consumption of the base station to be tested, the 5G base station operating energy efficiency of the base station to be tested is obtained.

[0009] Optionally, within the first test duration, obtaining the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each service model includes:

[0010] Obtaining a first weighting factor corresponding to each of the business models respectively;

[0011] Determining a first sub-test duration corresponding to each of the business models according to the first weighting factor and the first test duration;

[0012] The amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to the service model are obtained within each of the first sub-test durations.

[0013] Optionally, before obtaining the amount of terminal received data and the energy consumption of the base station to be tested corresponding to the service model within each first sub-test duration, the method further includes:

[0014] In the case where an energy-saving technology is deployed in the business scenario corresponding to the business model, obtaining a second weighting factor corresponding to the energy-saving technology;

[0015] Determining a second subtest duration corresponding to the energy-saving technology according to the second weighting factor and the first subtest duration;

[0016] The obtaining, within each first sub-test duration, the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to the service model includes:

[0017] During the second sub-test duration, obtaining the amount of data received by the first sub-terminal and the energy consumption of the first sub-base station to be tested corresponding to the service model;

[0018] Within a third sub-test duration, obtaining the amount of data received by the second sub-terminal and the energy consumption of the second sub-base station to be tested corresponding to the service model, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration;

[0019] According to the amount of data received by the first sub-terminal and the amount of data received by the second sub-terminal, the amount of terminal received data corresponding to the business model is obtained, and according to the energy consumption of the first sub-base station to be tested and the second sub-base station to be tested, the energy consumption of the base station to be tested corresponding to the business model is obtained.

[0020] Optionally, the first weighting factor is: the ratio of different load levels within the second test duration.

[0021] Optionally, the second weighting factor is: the proportion of the energy-saving technology operation time within the second test duration.

[0022] Optionally, after obtaining the 5G base station operation energy efficiency of the base station to be tested based on the total amount of data received by the terminal and the total energy consumption of the base station to be tested, the method further includes:

[0023] When energy-saving technology is deployed in the business scenario corresponding to the business model, the deployment parameters of the energy-saving technology are optimized according to the 5G base station operation energy efficiency of the base station to be detected.

[0024] Optionally, the business model includes: a no-load business model, a low-load business model, a medium-load business model, and a high-load business model.

[0025] Optionally, the load of the no-load service model is 0;

[0026] The load of the low-load service model is less than or equal to a first threshold load;

[0027] The load of the medium-load service model is greater than the first threshold load and less than the second threshold load, wherein the first threshold load is less than the second threshold load;

[0028] The load of the high-load service model is greater than or equal to the second threshold load;

[0029] The load includes the number of terminal users or the physical resource block (PRB) utilization rate.

[0030] Optionally, the data contained in the amount of data received by the terminal consists of a first part and a second part, the first part is obtained by different types of services sent by a terminal simulator, and the second part is obtained by interference noise generated by an interferometer.

[0031] In a second aspect, an embodiment of the present application provides a base station energy efficiency testing device, characterized by comprising:

[0032] The first module is used to obtain at least one service model, where the service model is set according to different load conditions under the actual operation of the 5G network;

[0033] The second module is used to obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each of the service models within the first test duration;

[0034] The third module is used to obtain the total amount of terminal received data and the total energy consumption of the base station to be tested for all the business models according to the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each business model within the second test duration;

[0035] The fourth module is used to obtain the 5G base station operating energy efficiency of the base station to be tested based on the total amount of data received by the terminal and the total energy consumption of the base station to be tested.

[0036] Optionally, the second module is also used to obtain the first weighting factor corresponding to each of the business models, determine the first sub-test duration corresponding to each of the business models based on the first weighting factor and the first test duration, and obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to the business model within each of the first sub-test duration.

[0037] Optionally, the second module is also used to obtain a second weighting factor corresponding to the energy-saving technology when the energy-saving technology is deployed in the business scenario corresponding to the business model, determine the second sub-test duration corresponding to the energy-saving technology based on the second weighting factor and the first sub-test duration, obtain the first sub-terminal received data volume and the first sub-base station energy consumption to be tested corresponding to the business model within the second sub-test duration, obtain the second sub-terminal received data volume and the second sub-base station energy consumption to be tested corresponding to the business model within the third sub-test duration, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration, obtain the terminal received data volume corresponding to the business model based on the first sub-terminal received data volume and the second sub-terminal received data volume, and obtain the energy consumption of the base station to be tested corresponding to the business model based on the first sub-base station energy consumption and the second sub-base station energy consumption to be tested.

[0038] Optionally, the first weighting factor is: the ratio of different load levels within the second test duration.

[0039] Optionally, the second weighting factor is: the proportion of the energy-saving technology operation time within the second test duration.

[0040] Optionally, the fourth module is also used to optimize the deployment parameters of the energy-saving technology according to the 5G base station operating energy efficiency of the base station to be detected when the energy-saving technology is deployed in the business scenario corresponding to the business model.

[0041] Optionally, the business model includes: a no-load business model, a low-load business model, a medium-load business model, and a high-load business model.

[0042] Optionally, the load of the no-load service model is 0;

[0043] The load of the low-load service model is less than or equal to a first threshold load;

[0044] The load of the medium-load service model is greater than the first threshold load and less than the second threshold load, wherein the first threshold load is less than the second threshold load;

[0045] The load of the high-load service model is greater than or equal to the second threshold load;

[0046] The load includes the number of terminal users or the physical resource block (PRB) utilization rate.

[0047] Optionally, the data contained in the amount of data received by the terminal consists of a first part and a second part, the first part is obtained by different types of services sent by a terminal simulator, and the second part is obtained by interference noise generated by an interferometer.

[0048] In a third aspect, an embodiment of the present application provides a base station energy efficiency testing device, comprising: a processor and a transceiver;

[0049] The processor is configured to obtain, within a first test duration, the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each business model; within a second test duration, according to the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each business model, obtain the total amount of terminal received data and the total energy consumption of the base station to be tested for all the business models; and according to the total amount of terminal received data and the total energy consumption of the base station to be tested, obtain the 5G base station operation energy efficiency of the base station to be tested;

[0050] The transceiver is used to obtain at least one of the business models, and the business model is set according to different load conditions under the actual operation of the 5G network.

[0051] Optionally, the processor is also used to obtain the first weighting factor corresponding to each of the business models, determine the first sub-test duration corresponding to each of the business models based on the first weighting factor and the first test duration, and obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to the business model within each of the first sub-test duration.

[0052] Optionally, the processor is also used to, when energy-saving technology is deployed in the business scenario corresponding to the business model, obtain a second weighting factor corresponding to the energy-saving technology, determine the second sub-test duration corresponding to the energy-saving technology based on the second weighting factor and the first sub-test duration, obtain the first sub-terminal received data volume and the first sub-base station energy consumption to be tested corresponding to the business model within the second sub-test duration, obtain the second sub-terminal received data volume and the second sub-base station energy consumption to be tested corresponding to the business model within the third sub-test duration, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration, obtain the terminal received data volume corresponding to the business model based on the first sub-terminal received data volume and the second sub-terminal received data volume, and obtain the energy consumption of the base station to be tested corresponding to the business model based on the first sub-base station energy consumption and the second sub-base station energy consumption to be tested.

[0053] Optionally, the first weighting factor is: the ratio of different load levels within the second test duration.

[0054] Optionally, the second weighting factor is: the proportion of the energy-saving technology operation time within the second test duration.

[0055] Optionally, the processor is also used to optimize the deployment parameters of the energy-saving technology according to the 5G base station operating energy efficiency of the base station to be detected when the energy-saving technology is deployed in the business scenario corresponding to the business model.

[0056] Optionally, the business model includes: a no-load business model, a low-load business model, a medium-load business model, and a high-load business model.

[0057] Optionally, the load of the no-load service model is 0;

[0058] The load of the low-load service model is less than or equal to a first threshold load;

[0059] The load of the medium-load service model is greater than the first threshold load and less than the second threshold load, wherein the first threshold load is less than the second threshold load;

[0060] The load of the high-load service model is greater than or equal to the second threshold load;

[0061] The load includes the number of terminal users or the physical resource block (PRB) utilization rate.

[0062] Optionally, the data contained in the amount of data received by the terminal consists of a first part and a second part, the first part is obtained by different types of services sent by a terminal simulator, and the second part is obtained by interference noise generated by an interferometer.

[0063] In a fourth aspect, an embodiment of the present application provides a communication device, comprising: a transceiver, a memory, a processor, and a program stored on the memory and executable on the processor; the processor is configured to read the program in the memory to implement the steps in the above-described base station energy efficiency testing method.

[0064] In a fifth aspect, an embodiment of the present application provides a readable storage medium for storing a program, which, when executed by a processor, implements the steps in the base station energy efficiency testing method described above.

[0065] In a sixth aspect, an embodiment of the present application further provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps in the above-mentioned base station energy efficiency testing method.

[0066] In an embodiment of the present application, at least one business model is used to test the base station energy efficiency, and each business model is set according to different load conditions under the actual operation of the 5G network, so that the business model setting is more in line with the business load scenario of the actual network; since the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model can be obtained within the first test duration, the total terminal received data volume and the total energy consumption of the base station to be tested are obtained according to the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model within the second test duration, and the 5G base station operating energy efficiency of the base station to be tested is obtained based on the total terminal received data volume and the total energy consumption of the base station to be tested, so that the embodiment of the present application can perform segmented testing on the base station to be tested according to different business load scenarios, and the 5G base station operating energy efficiency of the base station to be tested obtained according to the segmented test results is more accurate, which solves the problem of poor accuracy of the test results obtained according to the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 This is one of the flow charts of the base station energy efficiency testing method provided in an embodiment of the present application;

[0068] Figure 2 yes Figure 1 One of the flowcharts of step 102 in the base station energy efficiency testing method provided in the embodiment of the present application is shown;

[0069] Figure 3 yes Figure 1 The second flowchart of step 102 in the base station energy efficiency testing method provided in the embodiment of the present application is shown;

[0070] Figure 4 This is the second flow chart of the base station energy efficiency testing method provided in an embodiment of the present application;

[0071] Figure 5 This is one of the structural diagrams of the base station energy efficiency testing device provided in an embodiment of the present application;

[0072] Figure 6 This is the second structural diagram of the base station energy efficiency testing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0073] In the embodiments of this application, the term "and / or" describes the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0074] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar.

[0075] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0076] See also Figure 1 , Figure 1 The base station energy efficiency testing method provided by the embodiment of the present application may include the following steps:

[0077] Step 101: Obtain at least one business model, where the business model is set according to different load conditions under actual operation of the 5G network.

[0078] In this embodiment, based on the different load conditions under the actual operation of the 5G network, service scenarios can be divided into four types: no-load service scenario, low-load service scenario, medium-load service scenario, and high-load service scenario. Each service scenario corresponds to a service model: no-load service model, low-load service model, medium-load service model, and high-load service model.

[0079] The load of the no-load service model is 0; the load of the low-load service model is less than or equal to the first threshold load; the load rate of the load service model is greater than the first threshold load and less than the second threshold load, and the first threshold load is less than the second threshold load; the load of the high-load service model is greater than or equal to the second threshold load. In this embodiment, the load may include the number of terminal users or the utilization rate of the physical resource block (PRB).

[0080] It should be noted that the above division of business scenarios into four types is only a specific example of this embodiment. In actual use, business scenarios can be divided into other forms according to load conditions and business needs, which will not be repeated here.

[0081] It should be noted that this embodiment does not limit the specific values of the first threshold load and the second threshold load. Those skilled in the art may set the specific values of the first threshold load and the second threshold load according to actual business requirements.

[0082] Step 102: During the first test duration, the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each service model are obtained.

[0083] In this embodiment, if Figure 2As shown, step 102 obtains the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each service model within the first test duration, which may include the following steps:

[0084] Step 201: Obtain a first weighting factor corresponding to each business model.

[0085] In this embodiment, the first weighting factor may specifically be: the ratio of different load levels within the second test duration.

[0086] This embodiment is described by taking the second test duration as 24 hours as an example. In actual use, the second test duration may also be other values, such as one week or one month, etc., and each case will not be described here one by one.

[0087] The corresponding relationship between each service model and the first weighting factor in this embodiment may be shown in Table 1:

[0088]

[0089] Table 1

[0090] Step 202: Determine a first sub-test duration corresponding to each service model according to the first weighting factor and the first test duration.

[0091] In this embodiment, the first weighting factor corresponding to each service model can be as shown in Table 1. Let the first test duration be T, then the first sub-test duration corresponding to the no-load service model is T idle =T*W idle , the first sub-test duration T corresponding to the low-load business model low =T*W low ; The first sub-test duration T corresponding to the medium load business model medium =T*W medium ; The first sub-test duration T corresponding to the high-load business model high =T*W high .

[0092] It should be noted that this embodiment does not limit the specific value of the first test duration, and the value can be set according to actual test requirements.

[0093] Step 203: Obtain the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to the service model within each first sub-test duration.

[0094] In this embodiment, in the first sub-test duration T idle =T*W idle In the no-load service model, the amount of data received by the terminal is 0. In the first sub-test duration T low =T*W lowThe amount of data received by the terminal corresponding to the low-load business model is DV low ; In the first subtest, duration T medium =T*W medium The amount of data received by the terminal corresponding to the medium load business model is DV medium ; In the first subtest, duration T high =T*W high The amount of data received by the terminal corresponding to the high-load business model is DV high .

[0095] In this embodiment, in the first sub-test duration T low =T*W low The energy consumption E of the tested base station corresponding to the low-load business model is low It can be obtained by the following formula (1):

[0096]

[0097] Where n = T low / Δt; Δt is the power consumption sampling period of the base station to be tested; P i is the power consumption value of the i-th sampling point within the first test duration T.

[0098] Similarly, according to formula (1), the first sub-test duration T medium =T*W medium The energy consumption E of the base station to be tested corresponding to the medium load business model medium ; In the first subtest, duration T high =T*W high In the high-load business model, E high .

[0099] In this embodiment, 5G networks have significantly higher peak energy efficiency than 4G networks. However, 5G services are subject to tidal effects and load imbalances, leading to significant "idling" of base stations during low-load periods, resulting in significant energy waste. To implement the concept of green development and deepen energy conservation and emission reduction, various energy-saving technologies have been proposed, including subframe packet accumulation, channel muting, shallow sleep, and deep sleep. These energy-saving technologies can be deployed in existing networks based on different scenarios and service conditions to improve 5G network operational efficiency.

[0100] At this time, if Figure 3 As shown, before step 203, the following steps may also be included:

[0101] Step 204: When the energy-saving technology is deployed in the business scenario corresponding to the business model, obtain a second weighting factor corresponding to the energy-saving technology.

[0102] In this embodiment, the second weighting factor may specifically be: the proportion of the energy-saving technology operation time within the second test duration.

[0103] This embodiment is described by taking the second test time as 24 hours as an example. In actual use, the first test time can also be other values, such as one week or one month, etc., and each case will not be described here one by one.

[0104] The corresponding relationship between the energy-saving technology described in this embodiment and the second weighting factor can be shown in Table 2:

[0105] Energy-saving technologies Sub-frame package Channel Silence shallow hibernation Deep Sleep Second weighting factor <![CDATA[W SS ]]> <![CDATA[W CS ]]> <![CDATA[W LS ]]> <![CDATA[W DS ]]>

[0106] Table 2

[0107] Step 205: Determine the second sub-test duration corresponding to the energy-saving technology according to the second weighting factor and the first sub-test duration.

[0108] In this embodiment, the second weighting factor corresponding to each energy-saving technology can be as shown in Table 2. Let the first test duration be T, then the second sub-test duration corresponding to the sub-frame packet accumulation is T SS =T*W SS ; The second sub-test duration T corresponding to channel silence CS =T*W CS ; The second subtest duration corresponding to shallow sleep is T LS =T*W LS ; The second sub-test duration corresponding to deep sleep is T DS =T*W DS .

[0109] At this time, step 203 can be replaced by:

[0110] Step 206: During the second sub-test duration, the amount of data received by the first sub-terminal and the energy consumption of the first sub-base station to be tested corresponding to the service model are obtained.

[0111] Step 207: During the third sub-test duration, obtain the second sub-terminal received data volume and the second sub-base station energy consumption corresponding to the service model, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration.

[0112] Step 208: Obtain the terminal received data volume corresponding to the service model based on the first sub-terminal received data volume and the second sub-terminal received data volume, and obtain the energy consumption of the base station to be tested corresponding to the service model based on the energy consumption of the first sub-base station to be tested and the second sub-base station to be tested energy consumption.

[0113] This embodiment uses a low-load service model and sub-frame packet aggregation as an example for explanation.

[0114] The second sub-test duration T corresponding to the sub-frame packet accumulation SS =T*WSS The first sub-terminal receiving data volume DV corresponding to the low-load service model is obtained. low1 =DVss; in the third subtest, duration T' = T low -T SS =T*(W low -W SS ), obtain the second sub-terminal received data volume DV corresponding to the low-load service model low2 According to the amount of data received by the first sub-terminal DV low1 The second sub-terminal receives the data volume DV low2 , obtain the terminal received data volume DV corresponding to the low-load business model low =DV low1 +DV low2 =DVss+DV low2 .

[0115] The second sub-test duration T corresponding to the sub-frame packet accumulation SS =T*W SS Obtain the energy consumption E of the first sub-base station to be tested corresponding to the low-load service model low1 =E ss , where E ss It can be obtained by formula (1), where n=T ss / Δt; in the third sub-test, duration T'=T low -T SS =T*(W low -W SS ), obtain the energy consumption E of the second sub-base station to be tested corresponding to the low-load business model low2 According to the energy consumption E of the first sub-base station to be tested low1 and the energy consumption of the second sub-base station to be tested E low2 , obtain the energy consumption E of the base station to be tested corresponding to the low-load business model low =E low1 +E low2 =E ss +E low2 .

[0116] The technical solution provided in this embodiment introduces the energy-saving technology deployed in the business scenario corresponding to the business model into the process of obtaining the energy consumption of the base station to be tested corresponding to the business model in the form of a second weighting factor, which can better fit the existing network application and thus improve the accuracy of the base station performance test results.

[0117] Step 103 : During the second test duration, the total amount of data received by the terminal and the total energy consumption of the base station to be tested for all business models are obtained based on the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each business model.

[0118] In this embodiment, the total amount of data received by the terminal and the total energy consumption of the base station to be tested can be obtained within the second test time. This embodiment is described by taking the second test time of 24 hours as an example.

[0119] At this time, the total amount of data received by the terminal is DV total It can be obtained by the following formula (2):

[0120]

[0121] Total energy consumption E of the base station to be tested total It can be obtained by the following formula (3):

[0122]

[0123] Step 104: Obtain the 5G base station operating energy efficiency of the base station to be tested based on the total amount of data received by the terminal and the total energy consumption of the base station to be tested.

[0124] According to the above formulas (2) and (3),

[0125] It should be noted that in this embodiment, the data volume received by the terminal consists of a first part and a second part. The first part is obtained by sending different types of services from the terminal simulator, and the second part is obtained by the interference noise generated by the interferometer. By adding the interferometer, the complex environment similar to the existing network can be simulated, resulting in more accurate test results.

[0126] In an embodiment of the present application, at least one business model is used to test the base station energy efficiency, and each business model is set according to different load conditions under the actual operation of the 5G network, so that the business model setting is more in line with the business load scenario of the actual network; since the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model can be obtained within the first test duration, the total terminal received data volume and the total energy consumption of the base station to be tested are obtained according to the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model within the second test duration, and the 5G base station operating energy efficiency of the base station to be tested is obtained based on the total terminal received data volume and the total energy consumption of the base station to be tested, so that the embodiment of the present application can perform segmented testing on the base station to be tested according to different business load scenarios, and the 5G base station operating energy efficiency of the base station to be tested obtained according to the segmented test results is more accurate, which solves the problem of poor accuracy of the test results obtained according to the prior art.

[0127] See also Figure 4 , Figure 4 The base station energy efficiency test method provided by the embodiment of the present application is a flowchart of the base station energy efficiency test method provided by the embodiment of the present application. Figure 1The method is basically the same as shown in the figure, except that after step 104, the method may further include:

[0128] Step 105: When energy-saving technology is deployed in the business scenario corresponding to the business model, the deployment parameters of the energy-saving technology are optimized according to the 5G base station operation energy efficiency of the base station to be detected.

[0129] In this embodiment, the deployment parameters of the energy-saving technology may include: the activation conditions of the energy-saving technology, such as the packet accumulation time of sub-frame packet accumulation, or the opening threshold and closing threshold of channel silence, shallow sleep and deep sleep, etc.

[0130] This embodiment uses the energy-saving technology of sub-frame packet aggregation as an example to illustrate:

[0131] When the packet accumulation time is 1ms, 3ms and 5ms respectively, the above Figure 1-3 The steps shown can obtain the energy efficiency test results of the base station to be tested as X, Y, and Z. At this time, the packet accumulation duration corresponding to the best energy efficiency value among X, Y, and Z can be taken to optimize the packet accumulation duration of the sub-frame packet accumulation in the existing network.

[0132] This embodiment achieves Figure 1 On the basis of the beneficial effects brought by the shown embodiments, the deployment parameters of the energy-saving technology can be optimized according to the 5G base station operating energy efficiency of the base station to be tested, which can be more in line with the actual application conditions of the existing network. In addition, optimization verification based on the business model in the laboratory can avoid the impact on existing network users.

[0133] See also Figure 5 , Figure 5 Schematic diagram of the structure of the base station energy efficiency test device provided in the embodiment of the present application. The base station energy efficiency test device 500 provided in the embodiment of the present application may include:

[0134] The first module 501 is used to obtain at least one service model, where the service model is set according to different load conditions in the actual operation of the 5G network;

[0135] The second module 502 is configured to obtain, within a first test duration, the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each of the service models;

[0136] The third module 503 is configured to obtain, within a second test duration, the total amount of data received by the terminal and the total energy consumption of the base station to be tested for all the service models according to the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each service model;

[0137] The fourth module 504 is used to obtain the 5G base station operating energy efficiency of the base station to be tested based on the total amount of data received by the terminal and the total energy consumption of the base station to be tested.

[0138] Optionally, the second module 502 is also used to obtain the first weighting factor corresponding to each of the business models, determine the first sub-test duration corresponding to each of the business models based on the first weighting factor and the first test duration, and obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to the business model within each of the first sub-test durations.

[0139] Optionally, the second module 502 is also used to obtain a second weighting factor corresponding to the energy-saving technology when the energy-saving technology is deployed in the business scenario corresponding to the business model, determine the second sub-test duration corresponding to the energy-saving technology based on the second weighting factor and the first sub-test duration, obtain the first sub-terminal received data volume and the first sub-base station energy consumption to be tested corresponding to the business model within the second sub-test duration, obtain the second sub-terminal received data volume and the second sub-base station energy consumption to be tested corresponding to the business model within the third sub-test duration, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration, obtain the terminal received data volume corresponding to the business model based on the first sub-terminal received data volume and the second sub-terminal received data volume, and obtain the energy consumption of the base station to be tested corresponding to the business model based on the first sub-base station energy consumption and the second sub-base station energy consumption to be tested.

[0140] Optionally, the first weighting factor is: the ratio of different load levels within the second test duration.

[0141] Optionally, the second weighting factor is: the proportion of the energy-saving technology operation time within the second test duration.

[0142] Optionally, the fourth module 504 is also used to optimize the deployment parameters of the energy-saving technology according to the 5G base station operating energy efficiency of the base station to be detected when the energy-saving technology is deployed in the business scenario corresponding to the business model.

[0143] Optionally, the business model includes: a no-load business model, a low-load business model, a medium-load business model, and a high-load business model.

[0144] Optionally, the load of the no-load service model is 0;

[0145] The load of the low-load service model is less than or equal to a first threshold load;

[0146] The load of the medium-load service model is greater than the first threshold load and less than the second threshold load, wherein the first threshold load is less than the second threshold load;

[0147] The load of the high-load service model is greater than or equal to the second threshold load;

[0148] The load includes the number of terminal users or the physical resource block (PRB) utilization rate.

[0149] Optionally, the data contained in the amount of data received by the terminal consists of a first part and a second part, the first part is obtained by different types of services sent by a terminal simulator, and the second part is obtained by interference noise generated by an interferometer.

[0150] The specific implementation method of the base station energy efficiency testing device described in this embodiment can refer to the base station energy efficiency testing method described in the above embodiment, and will not be repeated here.

[0151] In an embodiment of the present application, at least one business model is used to test the base station energy efficiency, and each business model is set according to different load conditions under the actual operation of the 5G network, so that the business model setting is more in line with the business load scenario of the actual network; since the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model can be obtained within the first test duration, the total terminal received data volume and the total energy consumption of the base station to be tested are obtained according to the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model within the second test duration, and the 5G base station operating energy efficiency of the base station to be tested is obtained based on the total terminal received data volume and the total energy consumption of the base station to be tested, so that the embodiment of the present application can perform segmented testing on the base station to be tested according to different business load scenarios, and the 5G base station operating energy efficiency of the base station to be tested obtained according to the segmented test results is more accurate, which solves the problem of poor accuracy of the test results obtained according to the prior art.

[0152] See also Figure 6 , Figure 6 6 is a schematic diagram of the structure of a base station energy efficiency test device provided in an embodiment of the present application. The base station energy efficiency test device provided in an embodiment of the present application includes: a processor 601 and a transceiver 602;

[0153] The processor 601 is configured to, within a first test duration, obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each business model; within a second test duration, obtain the total amount of terminal received data and the total energy consumption of the base station to be tested for all the business models based on the amount of terminal received data and the energy consumption of the base station to be tested; and obtain the 5G base station operation energy efficiency of the base station to be tested based on the total amount of terminal received data and the total energy consumption of the base station to be tested;

[0154] The transceiver 602 is used to obtain at least one of the business models, and the business model is set according to different load conditions under the actual operation of the 5G network.

[0155] Optionally, the processor 601 is also used to obtain the first weighting factor corresponding to each of the business models, determine the first sub-test duration corresponding to each of the business models based on the first weighting factor and the first test duration, and obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to the business model within each of the first sub-test durations.

[0156] Optionally, the processor 601 is also used to, when energy-saving technology is deployed in the business scenario corresponding to the business model, obtain a second weighting factor corresponding to the energy-saving technology, determine the second sub-test duration corresponding to the energy-saving technology based on the second weighting factor and the first sub-test duration, obtain the first sub-terminal received data volume and the first sub-base station energy consumption to be tested corresponding to the business model within the second sub-test duration, obtain the second sub-terminal received data volume and the second sub-base station energy consumption to be tested corresponding to the business model within the third sub-test duration, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration, obtain the terminal received data volume corresponding to the business model based on the first sub-terminal received data volume and the second sub-terminal received data volume, and obtain the energy consumption of the base station to be tested corresponding to the business model based on the first sub-base station energy consumption and the second sub-base station energy consumption to be tested.

[0157] Optionally, the first weighting factor is: the ratio of different load levels within the second test duration.

[0158] Optionally, the second weighting factor is: the proportion of the energy-saving technology operation time within the second test duration.

[0159] Optionally, the processor 601 is also used to optimize the deployment parameters of the energy-saving technology according to the 5G base station operating energy efficiency of the base station to be detected when the energy-saving technology is deployed in the business scenario corresponding to the business model.

[0160] Optionally, the business model includes: a no-load business model, a low-load business model, a medium-load business model, and a high-load business model.

[0161] Optionally, the load of the no-load service model is 0;

[0162] The load of the low-load service model is less than or equal to a first threshold load;

[0163] The load of the medium-load service model is greater than the first threshold load and less than the second threshold load, wherein the first threshold load is less than the second threshold load;

[0164] The load of the high-load service model is greater than or equal to the second threshold load;

[0165] The load includes the number of terminal users or the physical resource block (PRB) utilization rate.

[0166] Optionally, the data contained in the amount of data received by the terminal consists of a first part and a second part, the first part is obtained by different types of services sent by a terminal simulator, and the second part is obtained by interference noise generated by an interferometer.

[0167] The specific implementation method of the base station energy efficiency testing device described in this embodiment can refer to the base station energy efficiency testing method described in the above embodiment, and will not be repeated here.

[0168] In an embodiment of the present application, at least one business model is used to test the base station energy efficiency, and each business model is set according to different load conditions under the actual operation of the 5G network, so that the business model setting is more in line with the business load scenario of the actual network; since the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model can be obtained within the first test duration, the total terminal received data volume and the total energy consumption of the base station to be tested are obtained according to the terminal received data volume and the energy consumption of the base station to be tested corresponding to each business model within the second test duration, and the 5G base station operating energy efficiency of the base station to be tested is obtained based on the total terminal received data volume and the total energy consumption of the base station to be tested, so that the embodiment of the present application can perform segmented testing on the base station to be tested according to different business load scenarios, and the 5G base station operating energy efficiency of the base station to be tested obtained according to the segmented test results is more accurate, which solves the problem of poor accuracy of the test results obtained according to the prior art.

[0169] An embodiment of the present application also provides a communication device, including: a transceiver, a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor implements the steps in the above-described base station energy efficiency testing method when executing the program.

[0170] It should be noted that the division of units in the embodiments of the present application is schematic and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0171] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0172] The embodiment of the present application also provides a readable storage medium, on which a program is stored. When the program is executed by the processor, each process of the step embodiment of the base station energy efficiency test method described above is implemented, and the same technical effect is achieved. To avoid repetition, it is not repeated here. The readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disk, hard disk, tape, magneto-optical disk (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)), etc.

[0173] An embodiment of the present application also provides a computer program product, including computer instructions. When the computer instructions are executed by a processor, the various processes of the above-mentioned base station energy efficiency testing method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, they will not be repeated here.

[0174] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0175] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD-ROM), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0176] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

Claims

1. A base station energy efficiency testing method, characterized in that: include: Obtain at least one service model, where the service model is set according to different load conditions under actual operation of the 5G network; During the first test duration, obtaining the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each of the service models; During the second test duration, according to the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each of the service models, the total amount of data received by the terminal and the total energy consumption of the base station to be tested of all the service models are obtained; According to the total amount of data received by the terminal and the total energy consumption of the base station to be tested, the 5G base station operating energy efficiency of the base station to be tested is obtained.

2. The method according to claim 1, characterized in that The obtaining, within the first test duration, the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to each of the service models includes: Obtaining a first weighting factor corresponding to each of the business models respectively; Determining a first sub-test duration corresponding to each of the business models according to the first weighting factor and the first test duration; The amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to the service model are obtained within each of the first sub-test durations.

3. The method according to claim 2, characterized in that Before obtaining the amount of terminal received data and the energy consumption of the base station to be tested corresponding to the service model within each first sub-test duration, the method further includes: In the case where an energy-saving technology is deployed in the business scenario corresponding to the business model, obtaining a second weighting factor corresponding to the energy-saving technology; Determining a second subtest duration corresponding to the energy-saving technology according to the second weighting factor and the first subtest duration; The obtaining, within each first sub-test duration, the amount of data received by the terminal and the energy consumption of the base station to be tested corresponding to the service model includes: During the second sub-test duration, obtaining the amount of data received by the first sub-terminal and the energy consumption of the first sub-base station to be tested corresponding to the service model; Within a third sub-test duration, obtaining the amount of data received by the second sub-terminal and the energy consumption of the second sub-base station to be tested corresponding to the service model, wherein the third sub-test duration is the difference between the first sub-test duration and the second sub-test duration; According to the amount of data received by the first sub-terminal and the amount of data received by the second sub-terminal, the amount of terminal received data corresponding to the business model is obtained, and according to the energy consumption of the first sub-base station to be tested and the second sub-base station to be tested, the energy consumption of the base station to be tested corresponding to the business model is obtained.

4. The method according to claim 2, characterized in that The first weighting factor is: the ratio of different load levels within the second test duration.

5. The method according to claim 3, characterized in that The second weighting factor is: the proportion of the energy-saving technology operation time within the second test duration.

6. The method according to claim 1, characterized in that After obtaining the 5G base station operation energy efficiency of the base station to be tested based on the total amount of data received by the terminal and the total energy consumption of the base station to be tested, the method further includes: When energy-saving technology is deployed in the business scenario corresponding to the business model, the deployment parameters of the energy-saving technology are optimized according to the 5G base station operation energy efficiency of the base station to be detected.

7. The method according to claim 1, characterized in that The service models include: no-load service model, low-load service model, medium-load service model and high-load service model.

8. The method according to claim 7, characterized in that The load of the no-load service model is 0; The load of the low-load service model is less than or equal to a first threshold load; The load of the medium-load service model is greater than the first threshold load and less than the second threshold load, wherein the first threshold load is less than the second threshold load; The load of the high-load service model is greater than or equal to the second threshold load; The load includes the number of terminal users or the physical resource block (PRB) utilization rate.

9. The method according to claim 1, characterized in that The data contained in the amount of data received by the terminal consists of a first part and a second part, the first part is obtained by different types of services sent by a terminal simulator, and the second part is obtained by interference noise generated by an interferometer.

10. A base station energy efficiency testing device, characterized in that: include: The first module is used to obtain at least one service model, where the service model is set according to different load conditions under the actual operation of the 5G network; The second module is used to obtain the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each of the service models within the first test duration; The third module is configured to obtain, within a second test duration, the total amount of data received by the terminal and the total energy consumption of the base station to be tested corresponding to each of the business models according to the amount of data received by the terminal and the energy consumption of the base station to be tested; The fourth module is used to obtain the 5G base station operating energy efficiency of the base station to be tested based on the total amount of data received by the terminal and the total energy consumption of the base station to be tested.

11. A base station energy efficiency testing device, comprising: A processor and a transceiver; characterized in that, The processor is configured to obtain, within a first test duration, the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each business model; within a second test duration, according to the amount of terminal received data and the energy consumption of the base station to be tested corresponding to each business model, obtain the total amount of terminal received data and the total energy consumption of the base station to be tested for all the business models; and according to the total amount of terminal received data and the total energy consumption of the base station to be tested, obtain the 5G base station operation energy efficiency of the base station to be tested; The transceiver is used to obtain at least one of the business models, and the business model is set according to different load conditions under the actual operation of the 5G network.

12. A communication device comprising: A transceiver, a memory, a processor, and a program stored in the memory and executable on the processor; characterized in that: The processor is configured to read a program in a memory to implement the steps of the base station energy efficiency testing method according to any one of claims 1 to 9.

13. A readable storage medium for storing a program, characterized in that: When the program is executed by a processor, the steps in the base station energy efficiency testing method according to any one of claims 1 to 9 are implemented.

14. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps in the base station energy efficiency testing method according to any one of claims 1 to 9.

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