5G indoor active antenna power consumption energy-saving adjustment method based on user position

Abstract

The invention discloses a 5G indoor active antenna power consumption energy-saving adjustment method based on a user position, and belongs to the technical field of base station equipment adjustment. The method comprises the following steps: obtaining an uplink signal accuracy evaluation value of each pRRU according to uplink signal quality data processing of each pRRU, obtaining a service demand evaluation value of each pRRU according to service state data processing of each pRRU, and obtaining a signal coverage evaluation value of each pRRU according to comprehensive analysis of the uplink signal accuracy evaluation value and signal transmitting power of each pRRU; according to the number of the user equipment of each pRRU and the signal coverage evaluation value of each pRRU, obtaining a signal coverage requirement value of each pRRU through processing, obtaining an active antenna output power requirement evaluation value of each pRRU through comprehensive analysis, and adjusting the active antenna output power according to the active antenna output power requirement evaluation value of each pRRU.

Description

Technical Field

[0001] The present invention relates to the technical field of base station equipment adjustment, and in particular to a 5G indoor active antenna power consumption energy-saving adjustment method based on user location. Background Art

[0002] With the continuous maturity of 5G technology and the acceleration of commercialization, 5G networks have been widely used in various fields. 5G uses higher frequency bands and achieves higher data transmission rates. However, the advantages of 5G technology are also accompanied by increased power consumption. In order to cover a wider area, more 5G base stations and indoor active antennas need to be deployed, which increases the overall power consumption.

[0003] The existing 5G indoor active antenna power consumption energy-saving adjustment method is achieved through intelligent energy-saving strategies, hardware energy-saving technologies, software function optimization, and system-level energy-saving coordination. It helps to reduce the power consumption of 5G base stations and improve energy utilization efficiency, thereby achieving a more efficient and environmentally friendly communication network.

[0004] For example, the invention patent announcement with announcement number: CN110401473B discloses a method, a mobile terminal and a storage medium for dynamically adjusting the transmission power, including: obtaining reception performance parameters corresponding to different antennas of the mobile terminal; determining power backoff values ​​corresponding to different antennas according to the reception performance parameters; and adjusting the transmission power corresponding to different antennas of the mobile terminal according to the power backoff values. The invention also discloses a mobile terminal and a computer-readable storage medium.

[0005] For example, the invention patent with announcement number CN112039572B discloses an antenna mode switching method, device, receiver and storage medium, including: the receiver can follow the initial antenna configuration information sent by the transmitter. After the receiver receives the service data of the transmitter, when the attribute of the service data sent by the transmitter meets the preset conditions, the receiver adjusts the number of working antennas from the first number to the second number, thereby adjusting the number of working antennas according to the attribute of the service data, so that when the data service does not need to use multiple antennas, the number of antennas used is reduced and the power consumption is reduced; when the data service requires multiple antennas, the number of antennas used is increased to improve the performance of the antenna in receiving service data, so that the receiver reduces the power consumption caused by the antenna while ensuring the performance.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, methods for reducing antenna power consumption are all completed by receiving instructions, and the power consumption cannot be automatically analyzed and adjusted according to actual conditions. Summary of the invention

[0008] The embodiments of the present application provide a 5G indoor active antenna power consumption energy-saving adjustment method based on user location, which solves the problem that the methods of reducing antenna power consumption in the prior art are all completed by receiving instructions and cannot automatically analyze and adjust their power consumption according to actual conditions, thereby realizing intelligent and automated antenna power consumption management.

[0009] The embodiment of the present application provides a 5G indoor active antenna power consumption energy-saving adjustment method based on user location, comprising the following steps: obtaining the number of user devices of each pRRU by counting, and acquiring uplink signal quality data of each pRRU and service status data of each pRRU; obtaining an uplink signal accuracy evaluation value of each pRRU according to the uplink signal quality data of each pRRU, obtaining a service demand evaluation value of each pRRU according to the service status data of each pRRU, and obtaining a signal coverage evaluation value of each pRRU by comprehensive analysis based on the uplink signal accuracy evaluation value of each pRRU and the signal transmission power; obtaining a signal coverage requirement value of each pRRU according to the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU through processing, obtaining an output power requirement evaluation value of each pRRU active antenna through comprehensive analysis, and adjusting the output power of the active antenna according to the output power requirement evaluation value of each pRRU active antenna.

[0010] Furthermore, the step of counting the number of user equipment of each pRRU includes: each user equipment obtains an uplink signal allocated by the base station and sends the uplink signal to a nearby pRRU; each pRRU measures each received uplink signal; each uplink signal is allocated according to the measurement result, and the number of uplink signals of each pRRU is counted, that is, the number of user equipment of each pRRU.

[0011] Furthermore, the step of obtaining the accuracy evaluation value of each pRRU uplink signal according to the uplink signal quality data of each pRRU includes: the uplink signal quality data of each pRRU includes signal-to-noise ratio, bit error rate and signal strength; obtaining the critical signal-to-noise ratio, critical bit error rate and critical signal strength from the power consumption adjustment database; and obtaining the accuracy evaluation value of each pRRU uplink signal through comprehensive analysis.

[0012] Furthermore, the step of obtaining the service demand assessment value of each pRRU based on the service status data of each pRRU includes: the service status data of each pRRU includes service response time and service concurrency; obtaining the critical service response time and critical service concurrency from the power consumption adjustment database; and obtaining the service demand assessment value of each pRRU through comprehensive analysis.

[0013] Furthermore, the step of obtaining the signal coverage evaluation value of each pRRU through comprehensive analysis based on the uplink signal accuracy evaluation value and signal transmission power of each pRRU includes: obtaining the critical pRRU uplink signal accuracy evaluation value and critical signal transmission power from the power consumption adjustment database; and obtaining the signal coverage evaluation value of each pRRU through comprehensive analysis.

[0014] Furthermore, based on the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU, the step of obtaining the signal coverage requirement value of each pRRU after processing includes: matching the number of user devices of each pRRU from the reference pRRU signal coverage evaluation value corresponding to the number of user devices preset in the power consumption adjustment database to obtain the reference pRRU signal coverage evaluation value; comparing each pRRU signal coverage evaluation value with the reference pRRU signal coverage evaluation value to obtain the signal coverage requirement value of each pRRU.

[0015] Furthermore, the step of comparing each pRRU signal coverage evaluation value with the reference pRRU signal coverage evaluation value to obtain each pRRU signal coverage requirement value includes: subtracting each pRRU signal coverage evaluation value from the reference pRRU signal coverage evaluation value to obtain each pRRU signal coverage evaluation difference value; when a pRRU signal coverage evaluation difference value is greater than or equal to 0, marking the pRRU signal coverage requirement value as 0; when a pRRU signal coverage evaluation difference value is less than 0, marking the pRRU signal coverage requirement value as the absolute value of the pRRU signal coverage evaluation difference value.

[0016] Furthermore, the step of comprehensively analyzing and obtaining the output power requirement evaluation value of each pRRU active antenna includes: obtaining the critical signal coverage requirement value, the critical service requirement evaluation value and the critical number of user devices from the power consumption adjustment database; and comprehensively analyzing and obtaining the output power requirement evaluation value of each pRRU active antenna based on the signal coverage requirement value of each pRRU, the service requirement evaluation value of each pRRU and the number of user devices of each pRRU.

[0017] Furthermore, the method for obtaining the output power requirement evaluation value of each pRRU active antenna is as follows:

[0018]

[0019] Where ξP k represents the output power requirement evaluation value of the kth pRRU, α1 represents the output power requirement evaluation impact factor corresponding to the signal coverage requirement value, α2 represents the output power requirement evaluation impact factor corresponding to the service requirement evaluation value, α3 represents the output power requirement evaluation impact factor corresponding to the number of user equipment, ξE krepresents the signal coverage requirement value of the kth pRRU uplink signal, ξE0 represents the critical signal coverage requirement value, ξD k represents the service demand assessment value of the kth pRRU uplink signal, ξD0 represents the critical service demand assessment value, U1 represents the number of user equipments, U0 represents the critical number of user equipments, e is a natural constant, k is the number of each pRRU, k=1,2,3,...,X, X is the total number of pRRUs.

[0020] Further, the output power demand assessment value of each pRRU active antenna is matched with the active antenna output power reference range corresponding to the output power demand assessment value interval of each active antenna preset in the power consumption adjustment database to obtain the output power reference range of each pRRU active antenna; the actual output power of each pRRU active antenna is obtained, and the actual output power of each pRRU active antenna is compared with the output power reference range of each pRRU active antenna; if the actual output power of a pRRU active antenna is within the output power reference range of the pRRU active antenna, the output power of the pRRU active antenna is not adjusted; if the actual output power of a pRRU active antenna is greater than the upper limit of the output power reference range of the pRRU active antenna, the output power of the pRRU active antenna is reduced; if the actual output power of a pRRU active antenna is less than the lower limit of the output power reference range of the pRRU active antenna, the output power of the pRRU active antenna is increased.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. The present invention provides a 5G indoor active antenna power consumption energy-saving adjustment method based on user location, thereby monitoring and analyzing the user location and service status in real time, adjusting the power output of the indoor active antenna, and dynamically adjusting according to the user location distribution, thereby achieving precise regulation of the antenna output power, effectively meeting service needs and reducing energy waste.

[0023] 2. The present invention optimizes network performance and reduces signal loss and interference during transmission by performing feedback adjustment based on the accuracy evaluation value of each pRRU uplink signal, thereby improving signal stability and reliability and achieving a dual improvement in network quality and user experience.

[0024] 3. The present invention obtains a signal coverage evaluation value by comprehensively analyzing the accuracy and signal characteristics of each pRRU uplink signal, thereby accurately reflecting the actual coverage of the network and discovering the weak links and potential problems of network coverage. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1A flow chart of a method for energy-saving adjustment of 5G indoor active antenna power consumption based on user location is provided in an embodiment of the present application.

[0026] Figure 2 A graph showing changes in the pRRU uplink signal accuracy assessment value based on active antenna power consumption energy saving adjustment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiment of the present application provides a 5G indoor active antenna power consumption energy-saving adjustment method based on user location, which solves the problem that the methods for reducing antenna power consumption in the prior art are all completed by receiving instructions and cannot automatically analyze and adjust their power consumption according to actual conditions. The uplink signal accuracy evaluation value of each pRRU is obtained according to the uplink signal quality data of each pRRU, the service demand evaluation value of each pRRU is obtained according to the service status data of each pRRU, and the signal coverage evaluation value of each pRRU is obtained by comprehensive analysis based on the uplink signal accuracy evaluation value and signal transmission power of each pRRU. According to the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU, the signal coverage requirement value of each pRRU is obtained through processing, and the output power requirement evaluation value of each pRRU active antenna is obtained by comprehensive analysis. The output power of the active antenna is adjusted according to the output power requirement evaluation value of each pRRU active antenna, thereby realizing intelligent and automated antenna power consumption management.

[0028] The technical solution in the embodiment of the present application is to solve the problem that the above-mentioned methods for reducing antenna power consumption are all completed by receiving instructions, and cannot automatically analyze and adjust their power consumption according to actual conditions. The overall idea is as follows:

[0029] The number of user devices of each pRRU is obtained by statistics, and the uplink signal quality data of each pRRU and the service status data of each pRRU are obtained; the uplink signal accuracy evaluation value of each pRRU is obtained according to the uplink signal quality data of each pRRU, the service demand evaluation value of each pRRU is obtained according to the service status data of each pRRU, and the signal coverage evaluation value of each pRRU is obtained by comprehensive analysis according to the uplink signal accuracy evaluation value of each pRRU and the signal transmission power; according to the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU, the signal coverage requirement value of each pRRU is obtained after processing, and the output power requirement evaluation value of each pRRU active antenna is obtained by comprehensive analysis, and the output power of the active antenna is adjusted according to the output power requirement evaluation value of each pRRU active antenna, thereby achieving precise adjustment of the output power of the active antenna.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1 As shown, a flow chart of a 5G indoor active antenna power consumption energy-saving adjustment method based on user location provided in an embodiment of the present application is provided, and the method includes the following steps: obtaining the number of user devices of each pRRU by counting, and obtaining the uplink signal quality data of each pRRU and the service status data of each pRRU; obtaining the uplink signal accuracy evaluation value of each pRRU according to the uplink signal quality data of each pRRU, obtaining the service demand evaluation value of each pRRU according to the service status data of each pRRU, and obtaining the signal coverage evaluation value of each pRRU by comprehensive analysis based on the uplink signal accuracy evaluation value of each pRRU and the signal transmission power; obtaining the signal coverage requirement value of each pRRU according to the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU through processing, obtaining the output power requirement evaluation value of each pRRU active antenna through comprehensive analysis, and adjusting the output power of the active antenna according to the output power requirement evaluation value of each pRRU active antenna.

[0032] In this embodiment, pRRU (Purple Radio Rel ay Unit, full name pico base station equipment) is a wireless communication device, which is a miniaturized, low-power, low-power indoor coverage radio frequency unit, that is, an indoor base station; the uplink signal refers to the signal sent from the user equipment (such as mobile phones, tablet computers, etc.) to the base station. In this method, the base station will assign an uplink signal to each user equipment, and the pRRU receives the uplink signal from the user equipment and transmits it to the base station for processing. Through precise power regulation, the coverage of the network can be optimized, the signal blind spots or weak coverage areas can be reduced, and the user's network experience can be improved. Network resources can also be dynamically adjusted according to business needs to improve the capacity and carrying capacity of the network to meet the growing user needs. By saving energy and reducing consumption, the operating costs of operators can be reduced and economic benefits can be improved. At the same time, this intelligent adjustment mechanism also helps to reduce the risk of network interruption caused by equipment failure or improper maintenance.

[0033] In addition, the power consumption adjustment database is used to store data related to the 5G indoor active antenna power consumption energy-saving adjustment method based on user location, including: critical signal-to-noise ratio, critical bit error rate, critical signal strength, signal accuracy assessment influencing factor corresponding to the signal-to-noise ratio, critical pRRU uplink signal accuracy assessment value, reference pRRU signal coverage assessment value corresponding to the number of user devices, and active antenna output power requirement assessment threshold, etc. The data in the power consumption adjustment database can be obtained by real-time statistics and recording through the network management system, base station controller or by utilizing the uplink signal receiving and processing capabilities on the base station side, and can also be integrated and obtained through the network management system or business monitoring platform.

[0034] Furthermore, the step of counting the number of user equipment of each pRRU includes: each user equipment obtains an uplink signal allocated by the base station and sends the uplink signal to a nearby pRRU; each pRRU measures each received uplink signal; each uplink signal is allocated according to the measurement result, and the number of uplink signals of each pRRU is counted, that is, the number of user equipment of each pRRU.

[0035] In this embodiment, the base station will automatically allocate an exclusive uplink signal to the user equipment, and the user equipment will send the signal to the nearby pRRU after receiving the uplink signal. After the pRRU receives the uplink reference signal, it will measure it to determine the uplink signal strength. The measurement result is that the base station will analyze the uplink signal strength received by the pRRU and allocate each user equipment to each pRRU according to the uplink signal strength. For example, there are three pRRUs near a user equipment, namely pRRU1, pRRU2 and pRRU3, where the uplink signal strength of the user equipment measured by pRRU1 is 3dBm, the uplink signal strength of the user equipment measured by pRRU2 is 4dBm, and the uplink signal strength of the user equipment measured by pRRU3 is 2dBm. Since the uplink signal strength of the user equipment measured by pRRU2 is the largest, the base station will allocate the user equipment to pRRU2.

[0036] Furthermore, the step of obtaining the accuracy evaluation value of each pRRU uplink signal according to the uplink signal quality data of each pRRU includes: the uplink signal quality data of each pRRU includes signal-to-noise ratio, bit error rate and signal strength; obtaining the critical signal-to-noise ratio, critical bit error rate and critical signal strength from the power consumption adjustment database; and obtaining the accuracy evaluation value of each pRRU uplink signal through comprehensive analysis.

[0037] The method for obtaining the accuracy evaluation value of each pRRU uplink signal is as follows:

[0038]

[0039] Where ξA k represents the uplink signal accuracy evaluation value of the kth pRRU, α6 represents the signal accuracy evaluation factor corresponding to the signal-to-noise ratio, α7 represents the signal accuracy evaluation factor corresponding to the bit error rate, α8 represents the signal accuracy evaluation factor corresponding to the signal strength, N ik represents the signal-to-noise ratio of the i-th uplink signal of the k-th pRRU, N0 represents the critical signal-to-noise ratio, B ik represents the bit error rate of the i-th uplink signal of the k-th pRRU, B0 represents the critical bit error rate, S ikrepresents the signal strength of the i-th uplink signal of the k-th pRRU, S0 represents the critical pRRU uplink signal strength, where i is the uplink signal number, i=1,2,3,...,N, N is the number of uplink signals, k is the number of each pRRU, k=1,2,3,...,X, X is the total number of pRRUs.

[0040] α6, α7 and α8 are signal accuracy assessment impact factors corresponding to the signal-to-noise ratio, bit error rate and signal strength preset in the power consumption adjustment database, respectively, and represent the numerical values ​​of the degree of influence of the signal-to-noise ratio, bit error rate and signal strength on the pRRU uplink signal accuracy assessment value, and can be directly obtained from the power consumption adjustment database when used. For example, the signal-to-noise ratio and the signal accuracy assessment impact factor corresponding to the signal-to-noise ratio preset in the power consumption adjustment database form a mapping set, and the signal accuracy assessment impact factor corresponding to the signal-to-noise ratio is obtained according to the signal-to-noise ratio input mapping set; the bit error rate and the signal accuracy assessment impact factor corresponding to the bit error rate preset in the power consumption adjustment database form a mapping set, and the signal accuracy assessment impact factor corresponding to the bit error rate is obtained according to the bit error rate input mapping set; the signal strength and the signal accuracy assessment impact factor corresponding to the signal strength preset in the power consumption adjustment database form a mapping set, and the signal accuracy assessment impact factor corresponding to the signal strength is obtained according to the signal strength input mapping set, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the impact factor in this embodiment is between 0 and 1.

[0041] In this embodiment, the signal-to-noise ratio is the ratio of signal strength to noise strength, reflecting the ratio of effective information to noise in the signal. The signal power and noise power can be measured by professional signal processing equipment such as network analyzers, noise parameter analyzers, etc., and the ratio of signal power to noise power is the signal-to-noise ratio; the bit error rate is an indicator to measure the accuracy of signal transmission, indicating the ratio of the number of data bits with errors to the total number of data bits transmitted during the transmission process. The number of error data bits and the total number of data bits transmitted can be directly obtained by communication analyzers, logic analyzers and other equipment. The value obtained by comparing the number of error data bits with the total number of data bits transmitted is the bit error rate; the signal strength usually refers to the power or amplitude of the signal, which reflects the strength of the signal and can be directly measured by instruments such as signal strength testers and field strength meters. There is a close connection between the three. For example, under a fixed transmission rate and modulation mode, an increase in the signal-to-noise ratio usually leads to a decrease in the bit error rate; under a certain noise level, an increase in signal strength will increase the signal-to-noise ratio, thereby reducing the bit error rate. By comprehensively analyzing the signal-to-noise ratio, bit error rate and signal strength, the accuracy evaluation value of each pRRU uplink signal can be accurately obtained, which can more comprehensively reflect the performance of the pRRU uplink signal and provide strong support for optimizing the communication system design and improving the reliability of data transmission.

[0042] The signal accuracy assessment impact factor corresponding to the signal-to-noise ratio is set to 0.3, the signal accuracy assessment impact factor corresponding to the bit error rate is set to 0.3, the signal accuracy assessment impact factor corresponding to the signal strength is set to 0.4, the number of uplink signals is set to 1, the signal-to-noise ratio of the kth pRRU uplink signal is set to 1.4dB, the critical signal-to-noise ratio is set to 1.2dB, the bit error rate of the kth pRRU uplink signal is set to 1.2%, the critical bit error rate is set to 1.2%, the critical pRRU uplink signal strength is set to 1.6dBm, and the kth pRRU uplink signal accuracy assessment value is calculated when the signal strength of the kth pRRU uplink signal is constantly changing. As shown in Table 1, the pRRU uplink signal accuracy assessment value data table based on active antenna power consumption energy saving adjustment.

[0043] Table 1 Data table of pRRU uplink signal accuracy evaluation value based on active antenna power consumption energy saving adjustment

[0044] serial number <![CDATA[S ik dBm]]> <![CDATA[ξA k ]]> 1 1.5 1.190 2 1.55 1.210 3 1.6 1.229 4 1.65 1.249 5 1.7 1.269

[0045] like Figure 2 As shown in Table 1 and Figure 2 It can be seen that when the signal accuracy assessment influence factor corresponding to the signal-to-noise ratio, the signal accuracy assessment influence factor corresponding to the bit error rate, the signal accuracy assessment influence factor corresponding to the signal strength, the number of uplink signals, the signal-to-noise ratio of the k-th pRRU uplink signal, the critical signal-to-noise ratio, the bit error rate of the k-th pRRU uplink signal, the critical bit error rate, and the critical pRRU uplink signal strength remain unchanged, and the signal strength of the k-th pRRU uplink signal continues to increase, the k-th pRRU uplink signal accuracy assessment value also continues to increase.

[0046] Furthermore, the step of obtaining the service demand assessment value of each pRRU based on the service status data of each pRRU includes: the service status data of each pRRU includes service response time and service concurrency; obtaining the critical service response time and critical service concurrency from the power consumption adjustment database; and obtaining the service demand assessment value of each pRRU through comprehensive analysis.

[0047] The method for obtaining the service demand assessment value of each pRRU is as follows:

[0048]

[0049] Where, ξD k represents the kth pRRU service demand evaluation value, α9 represents the service demand evaluation impact factor corresponding to the service response time, α 10 Indicates the impact factor of business demand assessment corresponding to business concurrency, Tjk represents the response time of the jth service of the kth pRRU, T0 represents the critical service response time, and W k represents the concurrent service volume of the kth pRRU, W0 represents the critical concurrent service volume, where j is the service number, j=1,2,3,...,M, and M is the number of services.

[0050] α9 and α 10 The business demand assessment impact factors corresponding to the business response time and business concurrency preset in the power consumption adjustment database respectively represent the numerical values ​​of the degree of influence of the business response time and business concurrency on the pRRU business demand assessment value, and can be directly obtained from the power consumption adjustment database when used. For example, the business response time and the business demand assessment impact factors corresponding to the business response time preset in the power consumption adjustment database form a mapping set, and the business demand assessment impact factors corresponding to the business response time are obtained according to the business response time input mapping set; the business demand assessment impact factors corresponding to the business concurrency preset in the power consumption adjustment database form a mapping set, and the business demand assessment impact factors corresponding to the business concurrency are obtained according to the business concurrency input mapping set, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the impact factor in this embodiment is between 0 and 1.

[0051] In this embodiment, the service response time refers to the time required from the user sending a request to the system or device responding and returning the result; the service concurrency refers to the maximum number of requests that the system or device can handle at the same time. Both can be measured by performance testing tools such as LoadRunner and Apache JMeter. There is a certain mutual influence between the service response time and the service concurrency. When the concurrency increases, the load of the system will also increase, which may cause the response time to become longer. Conversely, when the response time becomes longer, the processing capacity of the system may decrease, thereby affecting the performance of the concurrency. The service demand evaluation value of each pRRU obtained by comprehensively analyzing the service response time and the service concurrency can reflect the performance and capacity of each pRRU in the current service scenario, and can also provide a basis for resource planning.

[0052] Furthermore, the step of obtaining the signal coverage evaluation value of each pRRU through comprehensive analysis based on the uplink signal accuracy evaluation value and signal transmission power of each pRRU includes: obtaining the critical pRRU uplink signal accuracy evaluation value and critical signal transmission power from the power consumption adjustment database; and obtaining the signal coverage evaluation value of each pRRU through comprehensive analysis.

[0053] The method for obtaining the signal coverage evaluation value of each pRRU is as follows:

[0054]

[0055] In the formula, ξC k represents the signal coverage evaluation value of the kth pRRU, α4 represents the signal coverage evaluation influencing factor corresponding to the signal transmission power, α5 represents the signal coverage evaluation influencing factor corresponding to the pRRU uplink signal accuracy evaluation value, F1 represents the signal transmission power, F0 represents the critical signal transmission power, which refers to the minimum signal transmission power that can meet the pRRU signal coverage evaluation value requirement, ξA 1k represents the accuracy evaluation value of the kth pRRU uplink signal, and ξA0 represents the accuracy evaluation value of the critical pRRU uplink signal.

[0056] α4 and α5 are signal coverage assessment impact factors corresponding to the signal transmission power and the pRRU uplink signal accuracy assessment value preset in the power consumption adjustment database, respectively, and represent the numerical values ​​of the degree of influence of the signal transmission power and the pRRU uplink signal accuracy assessment value on the signal coverage assessment value of the pRRU, and can be directly obtained from the power consumption adjustment database when used. For example, the signal coverage assessment impact factor corresponding to the signal transmission power preset in the power consumption adjustment database is obtained according to the signal transmission power input mapping set; the signal coverage assessment impact factor corresponding to the pRRU uplink signal accuracy assessment value and the pRRU uplink signal accuracy assessment value preset in the power consumption adjustment database is obtained according to the pRRU uplink signal accuracy assessment value input mapping set. The mapping relationship is a many-to-one or one-to-one relationship. In this embodiment, the value range of the impact factor is between 0 and 1.

[0057] In this embodiment, the signal transmission power refers to the power of the electromagnetic wave signal output by the transmitter, which can be directly measured by power measurement equipment such as a power meter and a spectrum analyzer. There is a close correlation between the uplink signal accuracy evaluation value of each pRRU and the signal transmission power. The greater the signal transmission power, the stronger the signal sent by the transmitter and the wider the signal coverage, thereby improving the accuracy and reliability of the uplink signal. The signal coverage evaluation value of each pRRU obtained by combining the uplink signal accuracy evaluation value of each pRRU and the signal transmission power helps to optimize the performance of the wireless communication system, improve resource utilization efficiency and user experience.

[0058] Furthermore, based on the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU, the step of obtaining the signal coverage requirement value of each pRRU after processing includes: matching the number of user devices of each pRRU from the reference pRRU signal coverage evaluation value corresponding to the number of user devices preset in the power consumption adjustment database to obtain the reference pRRU signal coverage evaluation value; comparing each pRRU signal coverage evaluation value with the reference pRRU signal coverage evaluation value to obtain the signal coverage requirement value of each pRRU.

[0059] In this embodiment, the number of user devices of each pRRU can be matched with the reference pRRU signal coverage evaluation value corresponding to the number of user devices to establish a mapping set. According to the number of user devices input into the mapping set, the reference pRRU signal coverage evaluation value corresponding to the number of user devices of the pRRU can be obtained, wherein the mapping relationship is a many-to-one or one-to-one relationship. By comparing the signal coverage evaluation value of each pRRU with the reference pRRU signal coverage evaluation value, it can be determined whether the signal coverage of each pRRU meets the requirements of the current number of user devices. If it is found that the signal coverage is insufficient, timely measures can be taken to optimize it, such as increasing the transmit power, adjusting the antenna direction, or increasing the number of pRRUs.

[0060] Furthermore, the step of comparing each pRRU signal coverage evaluation value with the reference pRRU signal coverage evaluation value to obtain each pRRU signal coverage requirement value includes: subtracting each pRRU signal coverage evaluation value from the reference pRRU signal coverage evaluation value to obtain each pRRU signal coverage evaluation difference value; when a pRRU signal coverage evaluation difference value is greater than or equal to 0, marking the pRRU signal coverage requirement value as 0; when a pRRU signal coverage evaluation difference value is less than 0, marking the pRRU signal coverage requirement value as the absolute value of the pRRU signal coverage evaluation difference value.

[0061] In this embodiment, the signal coverage evaluation difference of each pRRU reflects the gap between the actual signal coverage of each pRRU and the expected signal coverage. When the signal coverage evaluation difference of a pRRU is greater than or equal to 0, it means that the signal coverage of the pRRU has met or exceeded the expected value, so its signal coverage requirement value is marked as 0; when the signal coverage evaluation difference of a pRRU is less than 0, it means that the signal coverage of the pRRU is insufficient and measures need to be taken to improve it. At this time, the absolute value of the difference is marked as the signal coverage requirement value of the pRRU to indicate the signal coverage metric that needs to be increased. By calculating the signal coverage evaluation difference and marking the requirement value, it is possible to clearly identify which signals have insufficient coverage, providing a clear direction and goal for subsequent optimization work.

[0062] Furthermore, the step of comprehensively analyzing and obtaining the output power requirement evaluation value of each pRRU active antenna includes: obtaining the critical signal coverage requirement value, the critical service requirement evaluation value and the critical number of user devices from the power consumption adjustment database; and comprehensively analyzing and obtaining the output power requirement evaluation value of each pRRU active antenna based on the signal coverage requirement value of each pRRU, the service requirement evaluation value of each pRRU and the number of user devices of each pRRU.

[0063] In this embodiment, the signal coverage requirement value of each pRRU reflects the signal strength or coverage range that each pRRU needs to achieve to meet the current or future signal coverage requirements. The higher the signal coverage requirement value, the higher the output power requirement evaluation value of each pRRU active antenna; the service demand evaluation value takes into account the status of each service processing. The higher the service demand evaluation value, the higher the output power requirement evaluation value of each pRRU active antenna; and the more user devices there are, the greater the demand for signal quality and coverage range will be, and the higher the service demand evaluation value will be. The output power requirement evaluation value of each pRRU active antenna obtained through comprehensive analysis helps to ensure that each pRRU can achieve the best signal coverage and signal quality while meeting current and future service requirements.

[0064] Furthermore, the method for obtaining the output power requirement evaluation value of each pRRU active antenna is as follows:

[0065]

[0066] Where ξP k represents the output power requirement evaluation value of the kth pRRU, α1 represents the output power requirement evaluation impact factor corresponding to the signal coverage requirement value, α2 represents the output power requirement evaluation impact factor corresponding to the service requirement evaluation value, α3 represents the output power requirement evaluation impact factor corresponding to the number of user equipment, ξE k represents the signal coverage requirement value of the kth pRRU uplink signal, ξE0 represents the critical signal coverage requirement value, ξD k represents the service demand assessment value of the kth pRRU uplink signal, ξD0 represents the critical service demand assessment value, U1 represents the number of user equipments, U0 represents the critical number of user equipments, and e is a natural constant.

[0067] In this embodiment, α1, α2 and α3 are respectively the output power demand assessment influencing factors corresponding to the signal coverage requirement value, service demand assessment value and number of user devices preset in the power consumption adjustment database, and respectively represent the numerical values ​​of the influence of the signal coverage requirement value, the service demand assessment value and the number of user devices on the pRRU output power demand assessment value, and can be directly obtained from the power consumption adjustment database when used. For example, the signal coverage requirement value and the output power requirement assessment influence factor corresponding to the signal coverage requirement value preset in the power consumption adjustment database form a mapping set, and the output power requirement assessment influence factor corresponding to the signal coverage requirement value is obtained by inputting the mapping set according to the signal coverage requirement value; the business demand assessment value and the output power demand assessment influence factor corresponding to the business demand assessment value preset in the power consumption adjustment database form a mapping set, and the output power demand assessment influence factor corresponding to the business demand assessment value is obtained by inputting the mapping set according to the business demand assessment value; the number of user devices and the output power demand assessment influence factor corresponding to the number of user devices preset in the power consumption adjustment database form a mapping set, and the mapping set is input according to the number of user devices to obtain the output power demand assessment influence factor corresponding to the number of user devices, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the influence factor in this embodiment is between 0 and 1.

[0068] Further, the output power demand assessment value of each pRRU active antenna is matched with the active antenna output power reference range corresponding to the output power demand assessment value interval of each active antenna preset in the power consumption adjustment database to obtain the output power reference range of each pRRU active antenna; the actual output power of each pRRU active antenna is obtained, and the actual output power of each pRRU active antenna is compared with the output power reference range of each pRRU active antenna; if the actual output power of a pRRU active antenna is within the output power reference range of the pRRU active antenna, the output power of the pRRU active antenna is not adjusted; if the actual output power of a pRRU active antenna is greater than the upper limit of the output power reference range of the pRRU active antenna, the output power of the pRRU active antenna is reduced; if the actual output power of a pRRU active antenna is less than the lower limit of the output power reference range of the pRRU active antenna, the output power of the pRRU active antenna is increased.

[0069] In this embodiment, the actual output power of each pRRU active antenna can be measured by a power meter, a spectrum analyzer and other equipment. When the actual output power of a pRRU active antenna is within its reference range, it indicates that the output power of the antenna has met the system requirements and no adjustment is required; when the actual output power of a pRRU active antenna is greater than the upper limit of its reference range, it is necessary to reduce the output power, and the difference between the actual output power of the pRRU active antenna and the upper limit of its reference range is marked as the output power required to be adjusted for the pRRU active antenna. The power supply voltage can be reduced by using a transformer and a power supply according to the output power required to be adjusted for the pRRU active antenna, thereby reducing the output power; similarly, when the actual output power of a pRRU active antenna is less than the lower limit of its reference range, it is necessary to increase the output power, and the difference between the lower limit of the reference range of the pRRU active antenna and its actual output power is marked as the output power required to be adjusted for the pRRU active antenna. The power supply voltage can be increased by using a transformer and a power supply according to the output power required to be adjusted for the pRRU active antenna, thereby increasing the output power. By precisely adjusting the power output of the antenna, we can ensure that the network meets coverage and capacity requirements while maximizing energy conservation; by optimizing power output, we can ensure that users can obtain stable, high-quality communication services in various environments.

[0070] In summary, the embodiment of the present application obtains the number of user devices of each pRRU through statistics, and obtains the uplink signal quality data of each pRRU and the service status data of each pRRU; obtains the uplink signal accuracy evaluation value of each pRRU according to the uplink signal quality data of each pRRU, obtains the service demand evaluation value of each pRRU according to the service status data of each pRRU, and obtains the signal coverage evaluation value of each pRRU through comprehensive analysis based on the uplink signal accuracy evaluation value of each pRRU and the signal transmission power; obtains the signal coverage requirement value of each pRRU according to the number of user devices of each pRRU and the signal coverage evaluation value of each pRRU through processing, obtains the output power requirement evaluation value of each pRRU active antenna through comprehensive analysis, and adjusts the output power of the active antenna according to the output power requirement evaluation value of each pRRU active antenna, thereby realizing the intelligent and automated management of antenna power consumption, and further achieving precise adjustment of the output power of the active antenna.

[0071] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0072] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0073] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0075] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location, characterized in that: The following steps are involved: Count the number of user equipments of each pRRU, and obtain uplink signal quality data of each pRRU and service status data of each pRRU; The uplink signal accuracy evaluation value of each pRRU is obtained by processing the uplink signal quality data of each pRRU, the service demand evaluation value of each pRRU is obtained by processing the service status data of each pRRU, and the signal coverage evaluation value of each pRRU is obtained by comprehensive analysis of the uplink signal accuracy evaluation value and signal transmission power of each pRRU; According to the number of user devices of each pRRU and the evaluation value of the signal coverage of each pRRU, the signal coverage requirement value of each pRRU is obtained through processing, and the output power requirement evaluation value of each pRRU active antenna is obtained through comprehensive analysis, and the active antenna output power is adjusted according to the output power requirement evaluation value of each pRRU active antenna.

2. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of obtaining the number of user equipments of each pRRU by counting includes: Each user equipment obtains the uplink signal allocated by the base station and sends the uplink signal to the nearby pRRU; Each pRRU measures each received uplink signal; The uplink signals are allocated according to the measurement results, and the number of uplink signals of each pRRU is counted, that is, the number of user equipments of each pRRU.

3. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of obtaining the accuracy evaluation value of each pRRU uplink signal according to the uplink signal quality data of each pRRU comprises: The uplink signal quality data of each pRRU includes signal-to-noise ratio, bit error rate and signal strength; Obtaining a critical signal-to-noise ratio, a critical bit error rate, and a critical signal strength from a power adjustment database; Comprehensive analysis is performed to obtain the accuracy assessment value of each pRRU uplink signal.

4. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of obtaining the service demand evaluation value of each pRRU according to the service status data of each pRRU comprises: The service status data of each pRRU includes service response time and service concurrency; Obtain critical service response time and critical service concurrency from the power consumption adjustment database; Comprehensive analysis is performed to obtain the service demand assessment value of each pRRU.

5. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of obtaining the signal coverage evaluation value of each pRRU according to the comprehensive analysis of the uplink signal accuracy evaluation value and the signal transmission power of each pRRU comprises: Obtaining a critical pRRU uplink signal accuracy assessment value and a critical signal transmission power from a power consumption adjustment database; Comprehensive analysis is performed to obtain the signal coverage evaluation value of each pRRU.

6. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of obtaining the required signal coverage value of each pRRU by processing according to the number of user equipments of each pRRU and the signal coverage evaluation value of each pRRU comprises: Matching the number of user equipments of each pRRU with the reference pRRU signal coverage evaluation value corresponding to the number of user equipments preset in the power consumption adjustment database to obtain the reference pRRU signal coverage evaluation value; The signal coverage evaluation value of each pRRU is compared with the signal coverage evaluation value of the reference pRRU to obtain the signal coverage requirement value of each pRRU.

7. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 6, characterized in that: The step of comparing each pRRU signal coverage evaluation value with a reference pRRU signal coverage evaluation value to obtain each pRRU signal coverage requirement value comprises: Subtract the signal coverage evaluation value of each pRRU from the signal coverage evaluation value of the reference pRRU to obtain the signal coverage evaluation difference value of each pRRU; When a pRRU signal coverage evaluation difference is greater than or equal to 0, the pRRU signal coverage requirement value is marked as 0. When a pRRU signal coverage evaluation difference is less than 0, the pRRU signal coverage requirement value is marked as the absolute value of the pRRU signal coverage evaluation difference.

8. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of comprehensively analyzing and obtaining the output power requirement evaluation value of each pRRU active antenna includes: Obtaining a critical signal coverage requirement value, a critical service requirement assessment value, and a critical number of user devices from a power consumption adjustment database; According to the signal coverage requirement value of each pRRU, the service demand evaluation value of each pRRU and the number of user equipment of each pRRU, a comprehensive analysis is performed to obtain the output power requirement evaluation value of each pRRU active antenna.

9. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The method for obtaining the output power requirement evaluation value of each pRRU active antenna is as follows: Where ξP k represents the output power requirement evaluation value of the kth pRRU, α1 represents the output power requirement evaluation impact factor corresponding to the signal coverage requirement value, α2 represents the output power requirement evaluation impact factor corresponding to the service requirement evaluation value, α3 represents the output power requirement evaluation impact factor corresponding to the number of user equipment, ξE k represents the signal coverage requirement value of the kth pRRU uplink signal, ξE0 represents the critical signal coverage requirement value, ξD k represents the service demand assessment value of the kth pRRU uplink signal, ξD0 represents the critical service demand assessment value, U1 represents the number of user equipments, U0 represents the critical number of user equipments, e is a natural constant, k is the number of each pRRU, k=1,2,3,...,X, X is the total number of pRRUs.

10. A 5G indoor active antenna power consumption energy-saving adjustment method based on user location as claimed in claim 1, characterized in that: The step of adjusting the output power of the active antenna according to the output power requirement evaluation value of each pRRU active antenna includes: Matching the output power demand evaluation value of each pRRU active antenna with the active antenna output power reference range corresponding to the output power demand evaluation value interval of each active antenna preset in the power consumption adjustment database to obtain the output power reference range of each pRRU active antenna; Obtain the actual output power of each pRRU active antenna, and compare the actual output power of each pRRU active antenna with the reference range of the output power of each pRRU active antenna; If the actual output power of a pRRU active antenna is within the reference range of the pRRU active antenna output power, the output power of the pRRU active antenna is not adjusted; If the actual output power of a pRRU active antenna is greater than the upper limit of the reference range of the pRRU active antenna output power, the output power of the pRRU active antenna is reduced; If the actual output power of a pRRU active antenna is less than the lower limit of the reference range of the output power of the pRRU active antenna, the output power of the pRRU active antenna is increased.

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