A 5G network subcarrier dynamic off energy-saving method

Abstract

The application provides a 5G network sub-carrier dynamic shutdown energy-saving method, which comprises the following steps: step 1, dividing the time period of 5G base station sub-carrier dynamic adjustment; step 2, counting the 5G base station time period historical network radio utilization; step 3, predicting the 5G base station time period network radio utilization; step 4, calculating the number of 5G base station time period closable sub-carriers; step 5, closing part of the sub-carriers of the 5G base station according to the number of closable sub-carriers; and step 6, executing step 1 to perform the next time period 5G base station sub-carrier dynamic shutdown operation. The method reduces the energy consumption of the system on the basis of guaranteeing the network stability, and dynamically corrects the predicted value of the network radio utilization according to the deviation, so that the predicted result of the network radio utilization can better reflect the actual load condition of the network.

Description

Technical Field

[0001] This invention relates to a 5G network energy-saving method, and more particularly to a 5G network subcarrier dynamic shutdown energy-saving method. Background Technology

[0002] my country's mobile communications have entered the 5G era. While enjoying the high bandwidth, massive connectivity, and low latency of 5G networks, we also face the challenge of significantly increased power consumption of 5G base station equipment. Since 5G base station equipment operates at a bandwidth of 100MHz and has a typical transmit power of 200W, its power consumption is significantly higher than that of 4G. To better implement the new development concept of green and energy conservation, research on relevant energy-saving technologies for 5G base stations is necessary.

[0003] The current deep sleep solution used for energy saving in 5G base stations needs to be combined with an on-demand wake-up function to maximize its effectiveness. However, the conditions for waking up need to be determined based on historical and real-time data to find a balance between energy saving and user experience. This solution has two drawbacks: first, the deep sleep time is preset and cannot be dynamically adjusted, resulting in low system intelligence; second, the deep sleep function requires manual judgment to determine when to turn on the base station and manually wake it up, leading to low system automation.

[0004] In addition, the carrier shutdown technology currently used in mobile communications is mostly the overall shutdown of the carrier. Although this can save energy, when applied to 5G networks, the overall shutdown of the carrier will inevitably migrate services from the 5G network to the 4G network, thus affecting the user experience. Summary of the Invention

[0005] Purpose of the invention: The technical problem to be solved by the present invention is to provide a method for dynamic shutdown and energy saving of 5G network subcarriers, which addresses the shortcomings of the existing technology.

[0006] To address the aforementioned technical problems, this invention discloses a method for dynamically shutting down and saving power in 5G network subcarriers, comprising the following steps:

[0007] Step 1: Divide the time period for dynamic adjustment of 5G base station subcarriers;

[0008] Step 2: Calculate the historical network wireless utilization rate of 5G base stations by time period;

[0009] Step 3: Predict the time-segmented network wireless utilization rate of 5G base stations;

[0010] Step 4: Calculate the number of subcarriers that can be turned off by the 5G base station in different time periods;

[0011] Step 5: Based on the number of subcarriers that can be turned off, turn off some subcarriers of the 5G base station;

[0012] Step 6: Execute Step 1 to perform dynamic shutdown operation of 5G base station subcarriers for the next time period.

[0013] Beneficial effects:

[0014] (1) The method proposed in this invention reduces the number of times the subcarrier is dynamically adjusted to a certain extent by dividing the time period of subcarrier dynamic adjustment, thereby reducing the system load and improving the stability of the network.

[0015] (2) The method proposed in this invention introduces a parameter to ensure the maximum network wireless utilization rate during the stable operation of 5G base stations for the application of the predicted results of 5G base station network wireless utilization rate. If the predicted result exceeds this parameter value, the dynamic shutdown operation of subcarriers will not be performed to improve the stability of network operation.

[0016] (3) The method proposed in this invention takes into account the deviation between the actual value and the predicted value of the network wireless utilization rate at the previous moment when applying the prediction results of the 5G network wireless utilization rate in practice, and dynamically corrects the predicted value of the network wireless utilization rate according to the deviation, so that the prediction results of the network wireless utilization rate can better reflect the actual load of the network. Attached Figure Description

[0017] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments, and the advantages of the present invention in the above and / or other aspects will become clearer.

[0018] Figure 1 This is a schematic diagram of the overall process of the present invention. Detailed Implementation

[0019] This application proposes a 5G network subcarrier dynamic shutdown energy-saving method, which enables 5G base stations to predict the network wireless utilization rate in future periods based on the historical data of network wireless utilization in each period, and to perform 5G base station subcarrier dynamic shutdown operation based on the prediction results, so as to achieve the energy-saving effect.

[0020] (1) Scheme Principle

[0021] During the operation of the 5G network, each day will be divided into multiple time periods. The predicted and actual data of network wireless utilization in each time period will be comprehensively considered. Based on this, the 5G network wireless utilization will be predicted and corrected. Based on the corrected network wireless utilization, the 5G base station will be controlled to perform subcarrier dynamic shutdown operations.

[0022] (2) Detailed description of the plan

[0023] A method for power saving by dynamically shutting down subcarriers in 5G networks, such as Figure 1 As shown, it includes the following steps:

[0024] Step 1: Divide the time period for dynamic adjustment of 5G base station subcarriers. Specific methods include:

[0025] The daily operating time of the 5G base station is divided into N time periods, and the i-th time period is labeled as... , The 5G base station predicts the number of subcarriers that can be turned off based on the N time periods it is divided into. The 5G base station performs the subcarrier shutdown operation at the beginning of each time period.

[0026] Step 2: Calculate the historical network wireless utilization rate of 5G base stations by time period. Specific methods include:

[0027] Suppose a 5G base station has been operating for M days. The network wireless utilization rate for the i-th time period on day j is calculated. ,in , .

[0028] Step 3, predict the time-segmented network wireless utilization of 5G base stations. Specific methods include:

[0029]

[0030] in, This represents the network wireless utilization rate of the 5G base station during the i-th time period on the (M+1)-th day of operation, i.e., the predicted result of network wireless utilization. This represents the network wireless utilization rate of the 5G base station during the i-th time period on the k-th day of operation.

[0031] Step 4: Calculate the number of subcarriers that can be turned off by a 5G base station in different time periods. Specific methods include:

[0032] Step 4-1: Based on the predicted network wireless utilization, determine whether to perform a dynamic subcarrier shutdown operation. Specific methods include:

[0033] Let the predicted network wireless utilization of the 5G base station in the i-th time period on day M+1 be: When the following conditions are met:

[0034]

[0035] If the subcarrier dynamic shutdown operation is not performed, skip the subsequent steps and proceed directly to step 6; otherwise, proceed to step 4-2; where UT is the maximum network wireless utilization rate to meet the stable operation of the 5G network.

[0036] Step 4-2, calculate the network wireless utilization correction factor, the specific method includes:

[0037]

[0038] in, This is a correction factor for network wireless utilization. This represents the predicted value of network wireless utilization during the (i-1)th time period on day M+1. This represents the actual value of network wireless utilization.

[0039] Step 4-3: Based on the network wireless utilization correction factor, determine whether the predicted value of network wireless utilization needs to be adjusted. Specific methods include:

[0040] If the following conditions are met:

[0041]

[0042] If it is determined that the predicted value of network wireless utilization needs to be adjusted, proceed to step 4-4; otherwise, proceed to step 5.

[0043] Step 4-4: Adjust the predicted value of network wireless utilization, and calculate the number of subcarriers that can be dynamically turned off based on the adjusted predicted value of network wireless utilization. The specific method is as follows:

[0044]

[0045] in, This represents the predicted value of the adjusted network wireless utilization.

[0046] If the following conditions are met:

[0047]

[0048] The number of subcarriers that can be turned off If the value is 0, meaning the 5G base station does not perform subcarrier dynamic shutdown, proceed to step 6; otherwise, calculate the predicted network wireless utilization rate of the 5G base station in the i-th time period of day M+1. The values ​​are adjusted as follows:

[0049]

[0050] Calculate the number of subcarriers that can be dynamically turned off. The calculation method is as follows:

[0051]

[0052] in, This refers to the total number of subcarriers owned by a 5G base station.

[0053] Step 5: Based on the number of subcarriers that can be turned off, turn off some subcarriers of the 5G base station. The specific method is as follows:

[0054] Based on the number of subcarriers that can be turned off The 5G base station will be turned off at the beginning of the i-th time period on day M+1. Then, select one subcarrier and proceed to step 6.

[0055] Step 6: Execute Step 1 to perform dynamic shutdown operation of 5G base station subcarriers for the next time period.

[0056] Example:

[0057] In a 5G network that supports dynamic subcarrier shutdown, a 5G base station has a total of CRA subcarriers. The 5G base station performs dynamic shutdown of subcarriers according to the following steps.

[0058] Step 1: Divide the time period for dynamic adjustment of 5G base station subcarriers.

[0059] Divide the daily operating time of 5G base stations into N time periods, and label the i-th time period as TS. i , The 5G base station predicts the number of subcarriers that can be dynamically shut down based on the N time periods it is divided into. Then, the 5G base station performs the dynamic shutdown operation of the subcarriers at the beginning of each time period.

[0060] Step 2: Calculate the historical network wireless utilization rate of 5G base stations by time period.

[0061] In the M days that the 5G base station has been operating, the network wireless utilization rate of the i-th time period on the j-th day is UT. j，i ,in , Then UT j，i It can be calculated using the following method:

[0062] UT j，i = CRA j，i / CRA (1)

[0063] Among them: CRA j，i CRA represents the number of subcarriers occupied during the i-th time period on day j, and CRA represents the total number of subcarriers owned by the 5G base station.

[0064] Step 3: Predict the time-segmented network wireless utilization rate of 5G base stations.

[0065] The network wireless utilization rate of the 5G base station in the i-th time period on the (M+1)th day before it begins operation is... ,but:

[0066] (2)

[0067] Among them: CRA M+1，i This represents the number of subcarriers occupied during the i-th time period on day M+1.

[0068] but The prediction results are as follows:

[0069] (3)

[0070] Step 4: Calculate the number of subcarriers that can be turned off by the 5G base station in different time periods.

[0071] The predicted network wireless utilization rate of 5G base stations in the i-th time period on day M+1 is as follows: ,if:

[0072] (4)

[0073] UT represents the maximum network wireless utilization rate required to ensure stable operation of the 5G network.

[0074] If formula (4) is satisfied, then proceed to step 4.1; otherwise, proceed to step 4.2.

[0075] Step 4.1: The 5G base station does not perform subcarrier dynamic shutdown operation, proceed to step 6.

[0076] Since the predicted wireless utilization rate of 5G base stations is already greater than the maximum wireless utilization rate required for stable network operation, shutting down subcarriers will further increase the wireless utilization rate of 5G networks, thereby affecting network stability and reducing network quality.

[0077] Step 4.2: Calculate the time-segmented network wireless utilization correction factor for 5G base stations.

[0078] The predicted network wireless utilization rate of 5G base stations in the (M+1)th day, time period i-1 is The actual value of its network wireless utilization rate is The network wireless utilization correction factor COR is:

[0079] (5)

[0080] Step 4.3: Determine the network wireless utilization correction factor for 5G base stations.

[0081] For the network wireless utilization correction factor COR, if:

[0082] (6)

[0083] If formula (6) is satisfied, it means that the actual value of the network wireless utilization rate in the i-1 time period on the M+1 day is greater than the predicted value. Therefore, the predicted value has a deviation and the predicted value of the network wireless utilization rate needs to be adjusted. Step 4.4 is executed. Otherwise, step 5 is executed.

[0084] Step 4.4: Correct the predicted value of 5G base station network wireless utilization.

[0085] The revised 5G base station wireless utilization forecast is ,but:

[0086] (7)

[0087] for ,if

[0088] (8)

[0089] If formula (8) is satisfied, the 5G base station will not perform subcarrier dynamic shutdown operation and will proceed to step 6; otherwise, the prediction result of the network wireless utilization rate of the 5G base station in the i-th time period on the (M+1)-th day will be used. The value is adjusted according to the following principles:

[0090] (9)

[0091] Then proceed to step 5.

[0092] Step 5: Dynamically disable some subcarriers of the 5G base station.

[0093] Based on the following formula, calculate the number of subcarriers that can be turned off for the i-th time period on day M+1 of a 5G base station, and label the number of subcarriers that can be turned off as CRA. cos ,but:

[0094] (10)

[0095] CRA refers to the total number of subcarriers owned by a 5G base station.

[0096] 5G base stations are turned off at the start of the i-th time period on day M+1. Then, select one subcarrier and proceed to step 6.

[0097] Step 6: Execute Step 1 to perform dynamic shutdown operation of 5G base station subcarriers for the next time period.

[0098] In its specific implementation, this application provides a computer storage medium and a corresponding data processing unit. The computer storage medium is capable of storing a computer program, which, when executed by the data processing unit, can run the invention's content regarding a 5G network subcarrier dynamic shutdown energy-saving method, as well as some or all of the steps in various embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0099] Those skilled in the art will clearly understand that the technical solutions in the embodiments of the present invention can be implemented using computer programs and their corresponding general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of computer programs, i.e., software products. These computer program software products can be stored in a storage medium and include several instructions to cause a device containing a data processing unit (which may be a personal computer, server, microcontroller, MUU, or network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments of the present invention.

[0100] This invention provides a concept and method for dynamic shutdown and energy saving of 5G network subcarriers. Many methods and approaches exist for implementing this technical solution; the above description is merely a preferred embodiment. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention. All components not explicitly stated in this embodiment can be implemented using existing technologies.

Claims

1. A method for dynamically shutting down subcarriers in a 5G network to save energy, characterized in that, Includes the following steps: Step 1: Divide the time period for dynamic adjustment of 5G base station subcarriers. Specific methods include: The daily operating time of the 5G base station is divided into N time periods, and the i-th time period is labeled as... , The 5G base station predicts the number of subcarriers that can be turned off based on the N time periods it is divided into, and performs the subcarrier shutdown operation at the beginning of each time period. Step 2: Calculate the historical network wireless utilization rate of 5G base stations by time period; Step 3: Predict the time-segmented network wireless utilization rate of 5G base stations; Step 4: Calculate the number of subcarriers that can be turned off by the 5G base station in different time periods; Step 5: Based on the number of subcarriers that can be turned off, turn off some subcarriers of the 5G base station; Step 6: Execute Step 1 to perform dynamic shutdown operation of 5G base station subcarriers for the next time period; The specific method for calculating the number of subcarriers that can be turned off by a 5G base station in time periods, as described in step 4, includes: Step 4-1: Based on the predicted results of network wireless utilization, determine whether to perform subcarrier dynamic shutdown operation; Step 4-2: Calculate the network wireless utilization correction factor; Step 4-3: Determine whether the predicted value of wireless utilization needs to be adjusted based on the network wireless utilization correction factor. Step 4-4: Adjust the predicted value of network wireless utilization and calculate the number of subcarriers that can be dynamically turned off based on the adjusted predicted value of network wireless utilization. Step 4-1, which involves determining whether to perform a subcarrier dynamic shutdown operation, includes the following specific methods: Let the predicted network wireless utilization of the 5G base station in the i-th time period on day M+1 be: When the following conditions are met: ； If the subcarrier dynamic shutdown operation is not performed, skip the subsequent steps and proceed directly to step 6; otherwise, proceed to step 4-2; where UT is the maximum wireless utilization rate to meet the stable operation of the 5G network. Step 4-2, which involves calculating the network wireless utilization correction factor, specifically includes the following methods: ； in, This is a correction factor for network wireless utilization. This represents the predicted value of network wireless utilization during the (i-1)th time period on day M+1. This represents the actual value of network wireless utilization. Step 4-3, which describes determining whether the predicted value of wireless utilization needs to be adjusted, includes the following specific methods: If the following conditions are met: ； If it is determined that the predicted value of wireless utilization needs to be adjusted, proceed to step 4-4; otherwise, proceed to step 5. The method for adjusting the predicted value of wireless utilization as described in step 4-4 is as follows: ； in, This represents the predicted value of the adjusted network wireless utilization. If the following conditions are met: ； The number of subcarriers that can be turned off If the value is 0, meaning the 5G base station does not perform subcarrier dynamic shutdown, proceed to step 6; otherwise, calculate the predicted network wireless utilization rate of the 5G base station in the i-th time period of day M+1. The values ​​are adjusted as follows: ； Calculate the number of subcarriers that can be dynamically turned off. The calculation method is as follows: ； in, This refers to the total number of subcarriers owned by a 5G base station.

2. The 5G network subcarrier dynamic shutdown energy-saving method according to claim 1, characterized in that, Step 1 describes the time period for dynamically adjusting 5G base station subcarriers.

3. The 5G network subcarrier dynamic shutdown energy-saving method according to claim 2, characterized in that, Step 2, which involves calculating the historical network wireless utilization rate of 5G base stations by time period, includes the following specific methods: Suppose a 5G base station has been operating for M days. The network wireless utilization rate for the i-th time period on day j is calculated. ,in , .

4. The 5G network subcarrier dynamic shutdown energy-saving method according to claim 3, characterized in that, Step 3, which describes the prediction of 5G base station time-based network wireless utilization, specifically includes the following methods: ； in, This represents the network wireless utilization rate of the 5G base station during the i-th time period on the (M+1)-th day of operation, i.e., the predicted result of network wireless utilization. This represents the network wireless utilization rate of the 5G base station during the i-th time period on the k-th day of operation.

5. A 5G network subcarrier dynamic shutdown energy-saving method according to claim 4, characterized in that, Step 5, which involves shutting down some subcarriers of the 5G base station, is described in the following steps: Based on the number of subcarriers that can be turned off The 5G base station will be turned off at the beginning of the i-th time period on day M+1. Then, select one subcarrier and proceed to step 6.

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