Equipment selection method, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention provides a device selection method, an electronic device and a computer readable storage medium. The device selection method comprises the following steps: acquiring a sounding reference signal of a target cell; determining user cut-in times and user migration times according to the sounding reference signal; determining a position distribution attribute of a remote radio frequency unit according to the user cut-in times, and determining user movement distribution information according to the user migration times; and determining a target far-end radio frequency unit according to the far-end radio frequency unit position distribution attribute and the user movement distribution information. According to the technical scheme, manual field exploration selection can be replaced, and the deployment efficiency and effect of the deep dormancy function of the indoor distribution system are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to, but are not limited to, the field of communication technology, and in particular to a device selection method, an electronic device, and a computer-readable storage medium. Background Art

[0002] Deep sleep, as a heavy-duty energy-saving method, is more suitable for periods of low 5G load, especially in distributed indoor system sites such as subways and shopping malls. A distributed indoor system primarily consists of a baseband unit (BBU), a remote convergence unit (RCU), and a remote radio frequency unit (RRU). When implementing deep sleep, only a small number of RRUs are retained to monitor changes in traffic volume. These RRUs are called sentinel RRUs. The selection of sentinel RRUs is crucial for the deep sleep function of the distributed indoor system. Traditionally, the selection of sentinel RRUs relies on on-site surveys by operations and maintenance personnel, often requiring manual identification, selection, and configuration. This makes it impossible to accurately identify the appropriate RRU, thus impacting the efficiency and effectiveness of deep sleep deployment. Summary of the Invention

[0003] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0004] The embodiments of the present application provide a device selection method, an electronic device, and a computer-readable storage medium, which can replace manual on-site survey and selection, and improve the deployment efficiency and effectiveness of the deep sleep function of the indoor distributed system.

[0005] In a first aspect, an embodiment of the present application provides a device selection method, the method comprising:

[0006] Obtaining a sounding reference signal of a target cell;

[0007] Determining the number of user hand-ins and the number of user migrations according to the detection reference signal;

[0008] Determining a remote radio frequency unit location distribution attribute according to the number of user hand-ins, and determining user mobility distribution information according to the number of user migrations;

[0009] A target remote radio frequency unit is determined according to the remote radio frequency unit location distribution attribute and the user mobility distribution information.

[0010] In a second aspect, an embodiment of the present application provides an electronic device, including:

[0011] at least one processor;

[0012] at least one memory for storing at least one program;

[0013] When at least one of the programs is executed by at least one of the processors, the device selection method described above is implemented.

[0014] In a third aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the device selection method as described above.

[0015] The embodiments of the present application include: in the device selection process, first obtaining the detection reference signal of the target cell, then determining the number of user cut-ins and the number of user migrations based on the detection reference signal; then determining the remote radio frequency unit location distribution attributes based on the number of user cut-ins, and determining the user mobility distribution information based on the number of user migrations; finally, the target remote radio frequency unit can be determined based on the remote radio frequency unit location distribution attributes and the user mobility distribution information. According to the technical solution provided by the embodiments of the present application, in the process of determining the target remote radio frequency unit, the remote radio frequency unit location distribution attributes and the user mobility information are comprehensively considered to realize intelligent device selection, replacing manual on-site exploration and selection, thereby greatly improving the deployment efficiency and effectiveness of the deep sleep function of the indoor distributed system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0017] Figure 1 This is a flow chart of a device selection method provided by an embodiment of the present application;

[0018] Figure 2 This is a flow chart for determining the number of user cut-in times and the number of user migration times provided by an embodiment of the present application;

[0019] Figure 3 This is a flowchart of determining remote radio unit location distribution attributes provided by an embodiment of the present application;

[0020] Figure 4 This is a flowchart of determining user mobility distribution information provided by an embodiment of the present application;

[0021] Figure 5 This is a flowchart of determining a target remote radio frequency unit provided by an embodiment of the present application;

[0022] Figure 6 This is a flowchart of a traversal process provided by an embodiment of the present application;

[0023] Figure 7 This is a flowchart of a first screening process provided by one embodiment of the present application;

[0024] Figure 8 is a flowchart of a second screening process provided by one embodiment of the present application;

[0025] Figure 9 is a flowchart of a device selection method provided by another embodiment of the present application;

[0026] Figure 10 This is a flow chart for determining movement probability provided by one embodiment of the present application;

[0027] Figure 11 is a flowchart of a device selection method provided by another embodiment of the present application;

[0028] Figure 12 This is a flowchart for determining the number of user cut-in times and the number of user migration times provided by another embodiment of the present application;

[0029] Figure 13 is a flow chart for determining movement probability provided by another embodiment of the present application;

[0030] Figure 14 is a flowchart of determining a target remote radio frequency unit provided by another embodiment of the present application;

[0031] Figure 15 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0033] It should be noted that although the device schematics illustrate functional module divisions and the flowcharts illustrate logical sequences, in certain circumstances, the steps shown or described may be performed in a sequence that differs from the module divisions in the device or the sequence in the flowcharts. The terms "first," "second," and so on, in the specification, claims, and drawings, are used to distinguish similar items and are not necessarily used to describe a specific sequence or precedence.

[0034] In the description of this application, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The terms "first" and "second" are used solely to distinguish technical features and are not to be construed as indicating or implying relative importance, or as implicitly specifying the number or order of the technical features indicated.

[0035] In the description of this application, unless otherwise clearly defined, terms such as setting, installing, and connecting should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application based on the specific content of the technical solution.

[0036] The embodiments of the present application provide a device selection method, an electronic device, and a computer-readable storage medium. During the device selection process, the detection reference signal of the target cell is first obtained, and then the number of user cut-ins and the number of user migrations are determined based on the detection reference signal; then the remote radio frequency unit location distribution attributes are determined based on the number of user cut-ins, and the user mobility distribution information is determined based on the number of user migrations; finally, the target remote radio frequency unit can be determined based on the remote radio frequency unit location distribution attributes and the user mobility distribution information. According to the technical solution provided by the embodiments of the present application, in the process of determining the target remote radio frequency unit, the remote radio frequency unit location distribution attributes and the user mobility information are comprehensively considered to realize intelligent device selection, replacing manual on-site exploration and selection, thereby greatly improving the deployment efficiency and effect of the deep sleep function of the indoor distributed system.

[0037] The embodiments of the present application are further described below with reference to the accompanying drawings.

[0038] like Figure 1 As shown, an embodiment of the first aspect of the present application provides a flow chart of a device selection method. The method includes but is not limited to step S100, step S200, step S300 and step S400.

[0039] Step S100: Acquire a sounding reference signal of a target cell;

[0040] Step S200, determining the number of user hand-ins and the number of user migrations according to the sounding reference signal;

[0041] Step S300, determining a remote radio unit location distribution attribute based on the number of user hand-ins, and determining user mobility distribution information based on the number of user migrations;

[0042] Step S400: determining a target remote radio unit according to remote radio unit location distribution attributes and user mobility distribution information.

[0043] In an embodiment of the present application, during the device selection process, the detection reference signal of the target cell is first obtained, and then the number of user cut-ins and the number of user migrations are determined based on the detection reference signal; then the remote radio frequency unit location distribution attributes are determined based on the number of user cut-ins, and the user mobility distribution information is determined based on the number of user migrations; finally, the target remote radio frequency unit can be determined based on the remote radio frequency unit location distribution attributes and the user mobility distribution information. According to the technical solution provided in the embodiment of the present application, in the process of determining the target remote radio frequency unit, the remote radio frequency unit location distribution attributes and the user mobility information are comprehensively considered to realize intelligent device selection, replacing manual on-site exploration and selection, thereby greatly improving the deployment efficiency and effect of the deep sleep function of the indoor distributed system.

[0044] It can be understood that the target cell is the cell where the sentinel remote radio frequency unit needs to be selected; there are multiple remote radio frequency units in the target cell, and each remote radio frequency unit covers a certain area. However, in order to reduce the energy consumption of the base station, it is necessary to select the sentinel remote radio frequency unit from multiple remote radio frequency units. On the basis of satisfying signal coverage, energy saving can also be achieved.

[0045] It's worth noting that base station energy consumption is a crucial metric in 5G deployment. Reducing base station energy consumption while ensuring user experience is a key technical direction currently being explored by communications equipment vendors and operators. To this end, various base station energy-saving technologies have been widely adopted in 5G deployment. Currently, these energy-saving technologies primarily include symbol shutdown, channel shutdown, carrier shutdown, and deep sleep. Symbol shutdown primarily achieves energy savings by disabling the power amplifier during idle symbol periods; channel shutdown reduces energy consumption by shutting down certain RF channels during periods of low traffic; carrier shutdown reduces energy consumption by migrating users on low-traffic carriers to other carriers and shutting down those carriers; and deep sleep, when traffic is low, leaves only the minimum wake-up unit (the power module and optical communication interface) active, shutting down all other components that can be shut down (digital intermediate frequency, transceiver, power amplifier, etc.), achieving maximum energy savings. Deep sleep, as a highly energy-efficient method, is particularly suitable for periods of low 5G load, particularly in indoor distributed system sites such as subways and shopping malls. A distributed indoor system primarily consists of a baseband unit (BBU), a remote convergence unit (RCU), and remote radio units (RRUs). When deep sleep is implemented, only a small number of RRUs remain to monitor traffic changes. These RRUs are called sentinel RRUs. When there is no traffic or traffic is low, non-sentinel RRUs are put into sleep mode. When a sentinel RRU detects an increase in traffic, it awakens the dormant RRUs. The selection of sentinel RRUs is crucial for the deep sleep functionality of the distributed indoor system. Sentinel RRUs are typically located near user distribution and mobile hubs within the cell. Improper location selection may prevent effective monitoring of user traffic changes, leading to delayed awakening of dormant RRUs and a negative user experience. Traditionally, the selection of sentinel RRUs relies on on-site inspections by operations and maintenance personnel, often requiring manual identification and configuration. This inability to accurately identify appropriate RRUs significantly impacts the efficiency and effectiveness of deep sleep deployment. The technical solution of the embodiment of the present application mainly selects the target remote radio frequency unit as the sentinel remote radio frequency unit through an intelligent selection method, which can achieve environmental protection and energy saving effects on the basis of meeting signal coverage.

[0046] In some embodiments of the present application, it is necessary to collect and process the sounding reference signal of the target cell in rotation, and a certain time threshold can be set. For example, the time threshold can be set to 7 days, so that the sounding reference signal of the target cell can be collected and processed for 7 consecutive days, so that the subsequent sentinel remote radio frequency unit can be prepared for data collection.

[0047] It is worth noting that the number of user cut-ins and the number of user migrations can be determined based on the collected detection reference signal; the remote RF unit position distribution attributes can be determined based on the number of user cut-ins, and the user mobility distribution information can be determined based on the number of user migrations. In the subsequent process of selecting the target remote RF unit from multiple remote RF units in the target cell, the remote RF unit position distribution attributes and user mobility distribution information can be considered at the same time, so that the selection of the target remote RF unit can be more intelligent and accurate, without the need for manual selection, which can greatly save labor costs.

[0048] like Figure 2 As shown, the above step S200 may include but is not limited to step S210 and step S220.

[0049] Step S210: determining a resident remote radio frequency unit corresponding to the user equipment according to the sounding reference signal;

[0050] Step S220: every preset time interval, determining the number of user hand-ins according to the number of user equipments entering the resident remote radio frequency unit, and determining the number of user migrations according to the number of user equipments leaving the resident remote radio frequency unit.

[0051] In some embodiments of the present application, in the process of determining the number of user cut-ins and the number of user migrations, the resident remote radio frequency unit corresponding to the user equipment can be first determined based on the detection reference signal; then, after each preset time interval, the number of user cut-ins is determined based on the number of user equipment entering the resident remote radio frequency unit, and the number of user migrations can also be determined based on the number of user equipment leaving the resident remote radio frequency unit; through the above technical solution, the distribution of the remote radio frequency units of the target cell and the mobility of user equipment within the target cell can be well confirmed, and preparations can be made for the accurate selection of the target remote radio frequency unit.

[0052] It is worth noting that, based on the collected sounding reference signal of the target cell, it can be determined that the user equipment is currently located in the signal coverage area of ​​a certain remote radio frequency unit, and the remote radio frequency unit is determined as a resident remote radio frequency unit; then, based on a pre-set time interval, the number of user equipment entering the resident remote radio frequency unit is statistically processed to determine the number of user entry times; and the number of user equipment leaving the resident remote radio frequency unit is statistically processed to determine the number of user migration times. For example, the preset time interval can be 5 days, that is, within 5 days, the number of user entry times is determined based on the number of user equipment entering the resident remote radio frequency unit, and within 5 days, the number of user migration times is determined based on the number of user equipment leaving the resident remote radio frequency unit.

[0053] It is worth noting that the number of user devices entering the resident remote radio frequency unit in the embodiment of the present application is the number of user devices entering the resident remote radio frequency unit in the target cell through neighboring cell switching; the number of user devices leaving the resident remote radio frequency unit is the number of user devices leaving the resident remote radio frequency unit and entering other remote radio frequency units in the target cell.

[0054] like Figure 3 As shown, the remote radio frequency unit location distribution attributes include edge remote radio frequency units and internal remote radio frequency units. The above step S300 may include but is not limited to step S310, step S320 and step S330.

[0055] Step S310, comparing the number of user hand-in times with a preset threshold;

[0056] Step S320: If the number of user hand-ins is greater than or equal to the threshold, determine the resident remote radio unit as an edge remote radio unit;

[0057] Step S330: When the number of user hand-ins is less than the threshold, the resident remote radio frequency unit is determined as an internal remote radio frequency unit.

[0058] In some embodiments of the present application, in the process of determining the location distribution attributes of remote radio frequency units based on the number of user access times, the number of user access times is first compared with a preset threshold value. If the number of user access times is greater than or equal to the preset threshold value, the resident remote radio frequency unit is determined to be an edge remote radio frequency unit; if the number of user access times is less than the threshold value, the resident remote radio frequency unit is determined to be an internal remote radio frequency unit. In this way, the location distribution attributes of the remote radio frequency units in the target cell can be confirmed, the remote radio frequency units can be divided into edge remote radio frequency units and internal remote radio frequency units, and the edge remote radio frequency units can be preferentially determined as sentinel remote radio frequency units, so that user equipment entering the target cell can be well monitored.

[0059] It is worth noting that the threshold value can be confirmed based on historical data. For example, the threshold value can be set to 20 times. When the number of user cut-ins is greater than or equal to 20, the corresponding resident remote radio frequency unit can be determined as an edge remote radio frequency unit; when the number of user cut-ins is less than 20, the corresponding resident remote radio frequency unit can be determined as an internal remote radio frequency unit.

[0060] like Figure 4 As shown, the above step S300 may include but is not limited to step S340 and step S350.

[0061] Step S340: determining a movement probability based on the number of user migrations and the computing performance of the base station corresponding to the target cell, wherein the movement probability is used to represent the probability of the user equipment moving between any two remote radio frequency units in the target cell;

[0062] Step S350: Determine the movement probability as user movement distribution information.

[0063] In some embodiments of the present application, in determining user mobility distribution information based on the number of user migrations, a mobility probability is first determined based on the number of user migrations and the computing performance of the base station corresponding to the target cell. Finally, the user mobility distribution information can be determined based on the mobility probability. The mobility probability is used to represent the probability of a user device moving between any two remote radio frequency units in the target cell. By confirming the user mobility distribution information, the mobility of the user device in the target cell can be analyzed and confirmed, thereby further facilitating the accurate selection of sentinel remote radio frequency units.

[0064] It's worth noting that the base station's computing performance is also its computing capacity. Based on the number of user migrations and the computing capacity of the base station corresponding to the target cell, the probability of movement between any two Remote Radio Units in the target cell can be determined. This movement probability characterizes the probability of a user device moving between any two Remote Radio Units in the target cell and reflects the user device's mobility within the target cell. By confirming user mobility distribution information, the sentinel Remote Radio Unit's identification can be more accurately determined.

[0065] like Figure 5 As shown, the above step S400 may include but is not limited to step S410, step S420 and step S430.

[0066] Step S410: All edge remote radio frequency units in the target cell are traversed and edge remote radio frequency units that meet a preset first hub selection condition are determined as target remote radio frequency units, wherein the number of target remote radio frequency units is determined to be a first value;

[0067] Step S420: If the first value is less than a preset number threshold, edge remote radio frequency units determined as target remote radio frequency units are eliminated, and the remaining remote radio frequency units in the target cell are subjected to a first screening process, and remote radio frequency units that meet a preset second hub selection condition are determined as target remote radio frequency units, wherein the number of all target remote radio frequency units in the target cell is determined as a second value;

[0068] In step S430, when the second value is less than the quantity threshold, all remote RF units in the target cell that are determined to be target remote RF units are eliminated, the remaining remote RF units in the target cell are subjected to a second screening process, and the remote RF units that meet the preset third hub selection condition are determined as target remote RF units.

[0069] In some embodiments of the present application, in the process of determining the target remote radio frequency unit according to the remote radio frequency unit position distribution attribute and the user mobility distribution information, all edge remote radio frequency units in the target cell are first traversed and processed, and the edge remote radio frequency units that meet the preset first hub selection condition are determined as target remote radio frequency units, wherein the number of target remote radio frequency units is a first value; when the first value is less than the preset number threshold, the edge remote radio frequency units determined as target remote radio frequency units are eliminated, the remaining remote radio frequency units in the target cell are subjected to a first screening process, and the remote radio frequency units that meet the preset second hub selection condition are selected. The radio frequency unit is determined as a target remote radio frequency unit, wherein the number of all target remote radio frequency units in the target cell is determined as a second value; when the second value is less than the quantity threshold, all remote radio frequency units determined as target remote radio frequency units in the target cell are eliminated, and then the remaining remote radio frequency units in the target cell are subjected to a second screening process, and finally the remote radio frequency unit that meets the preset third hub selection condition is determined as the target remote radio frequency unit; through the above-mentioned multiple screenings, the remote radio frequency units screened from the target cell can meet the signal coverage requirements within the cell, and can also achieve the purpose of energy saving and environmental protection.

[0070] It is worth noting that remote RF units that meet the first hub selection criteria are first selected from all edge remote RF units in the target cell as sentinel remote RF units. This is because when a user device enters the target cell from other cells, it first enters the signal coverage area of ​​the edge remote RF unit. Therefore, the sentinel remote RF unit is first selected from the edge remote RF units, making the selection of the target remote RF unit more reasonable and accurate. All edge remote RF units in the target cell that are determined to be target remote RF units are eliminated, and then the target remote RF unit is selected from the remaining remote RF units in the target cell to better meet the requirements of signal coverage and energy saving.

[0071] It is worth noting that the number threshold can be determined based on historical data. By determining based on historical data, the determination of the sentinel remote radio frequency units can be more reasonable, and energy saving can be achieved on the basis of meeting the signal coverage of the cell.

[0072] like Figure 6As shown, the above step S410 may include but is not limited to step S411, step S412 and step S413.

[0073] Step S411: Compare the movement probabilities corresponding to all edge remote radio frequency units with a preset probability threshold to obtain a third value, where the third value is used to represent the number of edge remote radio frequency units in the target cell whose movement probabilities are greater than the probability threshold.

[0074] Step S412: determining a first ratio threshold according to the third value and the number of all remote radio frequency units in the target cell;

[0075] Step S413: When the first ratio threshold is greater than a preset ratio threshold, the corresponding edge remote radio frequency unit is determined as a target remote radio frequency unit.

[0076] In some embodiments of the present application, in the process of traversing all edge remote radio frequency units in the target cell, the mobility probabilities corresponding to all edge remote radio frequency units are first compared with a preset probability threshold to obtain a third value, wherein the third value is used to represent the number of edge remote radio frequency units in the target cell whose mobility probabilities are greater than the probability threshold; then a first proportional threshold is determined based on the third value and the number of all remote radio frequency units in the target cell; finally, when the first proportional threshold is greater than the preset proportional threshold, the corresponding edge remote radio frequency unit is determined as the target remote radio frequency unit. Through the above technical solution, a remote radio frequency unit that meets the conditions can be screened out from multiple edge remote radio frequency units in the target cell as the target remote radio frequency unit, so that the selection and determination of the target remote radio frequency unit can be more reasonable.

[0077] It should be noted that both the probability threshold and the ratio threshold can be determined based on historical data, thereby making the selection of the target remote radio frequency unit more accurate.

[0078] like Figure 7 As shown, the above step S420 may include but is not limited to step S421, step S422 and step S423.

[0079] Step S421: Compare the mobility probabilities corresponding to the remaining remote radio frequency units in the target cell with a preset probability threshold to obtain a fourth value, where the fourth value is used to represent the number of remote radio frequency units remaining in the target cell whose mobility probabilities are greater than the probability threshold.

[0080] Step S422: determining a plurality of second ratio thresholds according to the plurality of fourth values ​​and the number of all remote radio frequency units in the target cell;

[0081] Step S423: Select a preset number of second proportional thresholds from the plurality of second proportional thresholds in descending order, and use the remote radio frequency units corresponding to the selected second proportional thresholds as target remote radio frequency units.

[0082] In some embodiments of the present application, during the first screening process of the remaining remote radio frequency units in the target cell, the mobility probabilities corresponding to the remaining remote radio frequency units in the target cell are first compared with a preset probability threshold to obtain a fourth value, wherein the fourth value is used to represent the number of remote radio frequency units remaining in the target cell whose mobility probabilities are greater than the probability threshold; then, multiple second proportional thresholds are determined based on the multiple fourth values ​​and the number of all remote radio frequency units in the target cell; finally, a preset number of second proportional thresholds are selected from the multiple second proportional thresholds in descending order, and the remote radio frequency units corresponding to the selected second proportional thresholds are used as target remote radio frequency units. After traversing all edge remote radio frequency units in the target cell, if the number of target remote radio frequency units selected does not meet the requirements, the first screening process will continue to be performed on the remaining remote radio frequency units in the target cell to select remote radio frequency units that meet the second hub selection conditions, so as to meet the signal coverage requirements of the cell and the energy saving requirements of the base station.

[0083] It is worth noting that the probability threshold and the preset number can be determined based on historical data, so that the selection of the target remote radio frequency unit can better meet the needs of actual application scenarios.

[0084] like Figure 8 As shown, the above step S430 may include but is not limited to step S431 and step S432.

[0085] Step S431, sorting the mobility probabilities corresponding to the remaining remote radio frequency units in the target cell;

[0086] Step S432: Multiple movement probabilities are selected from large to small, and the remote radio frequency units corresponding to the selected movement probabilities are used as target remote radio frequency units, until the number of target remote radio frequency units determined in the target cell reaches a number threshold.

[0087] In some embodiments of the present application, after the remote radio frequency units of the target cell are traversed and subjected to the first screening process, when the number of target remote radio frequency units selected does not meet the requirements, the remaining remote radio frequency units will continue to be subjected to the second screening process. First, the mobility probabilities corresponding to the remaining remote radio frequency units in the target cell are sorted; then, multiple mobility probabilities are selected from large to small, and the remote radio frequency units corresponding to the selected mobility probabilities are used as target remote radio frequency units, until the number of target remote radio frequency units determined in the target cell reaches the quantity threshold, thereby well meeting the signal coverage of the target cell and the energy-saving and environmental protection requirements of the base station.

[0088] It is worth noting that the multiple mobility probabilities are sorted from large to small, and then selected from the sorted multiple mobility probabilities from large to small, so that the selected remote radio frequency unit can better provide signal coverage to the user equipment in the cell, thereby making the selection of the target remote radio frequency unit more accurate.

[0089] like Figure 9 As shown, after executing the above step S400, it may also include but not limited to step S510 and step S520.

[0090] Step S510: comparing the currently determined target remote radio frequency unit with the historical target remote radio frequency units;

[0091] Step S520: When the current target remote RF unit is inconsistent with the historical target remote RF unit, the remote RF unit list for storing the target remote RF unit is updated to the current target remote RF unit.

[0092] In some embodiments of the present application, after selecting the target remote RF unit, the currently determined target remote RF unit and the historical target remote RF unit can be compared. If the current target remote RF unit is inconsistent with the historical target remote RF unit, the remote RF unit list used to store the target remote RF unit can be updated to the current target remote RF unit, so that the historical remote RF unit can be updated to better adapt to the current network conditions of the cell, thereby better achieving signal coverage of the cell.

[0093] like Figure 10 As shown, the above step S340 may include but is not limited to step S341, step S342 and step S343.

[0094] Step S341: determining a first-order transition probability according to the number of remote radio frequency units of the target cell and the number of user migrations; and determining a computing performance value according to the computing performance of the base station corresponding to the target cell;

[0095] Step S342, determining multi-order transition probabilities based on the first-order transition probability and the calculated performance value;

[0096] Step S343: determining the movement probability according to the multi-order transition probability and the calculated performance value.

[0097] In some embodiments of the present application, in the process of determining the mobility probability based on the number of user migrations and the computing performance of the base station corresponding to the target cell, the first-order transfer probability is first determined based on the number of remote radio frequency units of the target cell and the number of user migrations; and the computing performance value is determined based on the computing performance of the base station corresponding to the target cell; then, the multi-order transfer probability is determined based on the first-order transfer probability and the computing performance value; finally, the corresponding mobility probability is determined based on the multi-order transfer probability and the computing performance value; through the above technical solution, the calculated mobility probability is used to evaluate the mobility of the user equipment under the corresponding remote radio frequency unit, which is more conducive to the determination of the sentinel remote radio frequency unit.

[0098] In order to more clearly illustrate the process of the device selection method provided by the embodiment of the present invention, a specific example is given below for illustration.

[0099] like Figure 11 As shown, one embodiment of the present application discloses a method for self-identification of sentinel remote radio frequency units in deep sleep of an indoor distributed system, which mainly includes five steps: data collection and update, identification of remote radio frequency unit location distribution, identification of user mobility distribution, screening of hub points, and updating of sentinel remote radio frequency unit list. The overall process schematic diagram is shown in the attached Figure 11 The details are as follows:

[0100] Step 1: Data collection and update;

[0101] The cell SRS (Sounding Reference Signal) is turned on for round-robin reception, and the remote radio unit with the strongest power is determined as the remote radio unit where the user equipment is currently residing. The HoI nNumi (the number of times the user equipment has switched from other cells to remote radio unit i in the current cell) and TranNumi j (the number of times the user equipment has moved from remote radio unit i in the current cell to other remote radio unit j) are collected.

[0102] In the form of a sliding window, continuously collect data for the last 7 consecutive days and delete the data before 7 days. When the data is updated and the time reaches 7 days, proceed to the next step, otherwise continue collecting.

[0103] Step 2: Identify the remote radio unit location distribution;

[0104] The number of times the user equipment switches from other cells to a remote radio unit in this cell, HoInNumi, is used to determine whether the physical location of the remote radio unit is at the cell edge or inside the cell. If the number of times is greater than the set threshold HoInNum thrd , it is judged to be an edge remote radio unit, otherwise it is an internal remote radio unit, that is, when HoInNum i ≥HoInNum thrd When , the remote radio frequency unit i is an edge remote radio frequency unit.

[0105] Step 3: Identify user mobility distribution;

[0106] This step can be performed simultaneously with the second step. The probability of the user equipment moving between any two remote radio frequency units is determined by taking into account the number of times the user equipment moves between remote radio frequency units in the cell and taking an appropriate calculation method into account the computing capability of the base station.

[0107] Step 4: Screening pivot points;

[0108] Prioritize hub locations at the cell edge, then supplement them from the remaining remote radio units until the required number is met. Filtering criteria: If the number of user equipment moving from a remote radio unit location in the cell to other locations with a probability above the threshold is higher, then that location is prioritized as the hub location.

[0109] Step 5: Update the Sentinel Remote Radio Unit list;

[0110] The currently selected hub RRU is compared with the previous one. If they are the same, the Sentinel RRU list is not updated. If they are different, the Sentinel RRU list is updated to the current hub RRU. When the function is first started, the previous Sentinel RRU list is set to empty.

[0111] like Figure 12 As shown, HoInNumi and TranNumij are collected and counted through SRS round-robin reception; cell sounding reference signal round-robin reception is started. After the cell receives the handover success message through the user equipment handover signaling, the user equipment ID carried in the signaling is obtained. The measurement result reported by the SRS round-robin reception is waited for 30 seconds to determine the remote radio unit i where the user equipment resides, and the number of handovers of the remote radio unit i is recorded, which is set to HoInNumi+1;

[0112] Statistics are reported every 30 seconds. When a user equipment resides on a remote radio unit in the cell, if the reported result is the same as the remote radio unit reported last time, the number of times remote radio unit i moves to remote radio unit i is recorded, set to TranNumii+1, and the next report is waited for. If the reported result is different from the remote radio unit reported last time, the number of times remote radio unit i moves to remote radio unit j is recorded, set to TranNumij+1.

[0113] like Figure 13 As shown, a suitable calculation method is adopted considering the computing capability of the base station to determine the probability of the user equipment moving between any two remote radio frequency units;

[0114] Obtain HoInNumi and TranNumij and use statistical correlation methods to calculate the probability. Taking Markov transition probability as an example, if there are m remote radio units in a cell, the first-order transition probability pij of the user equipment from remote radio unit i to remote radio unit j can be expressed as: Then the n-order probability rij(n) can be expressed as: Therefore, the probability that the user equipment moves from remote radio unit i to remote radio unit j is The sum of its 1st to nth order transition probabilities n can be selected based on the computing capability of the base station.

[0115] like Figure 14 As shown, filter the pivot points;

[0116] Define the function P(C), which is the ratio of the number of remote radio units that meet condition C to the total number of remote radio units in the cell. Filter according to the following conditions:

[0117] (1) Select hub locations from the edge of the community;

[0118] Traverse the cell edge remote radio units and select all remote radio unit locations that meet the conditions from the cell edge. For a specified edge remote radio unit i and any remote radio unit j, the hub point remote radio unit i meets the following conditions:

[0119]

[0120] where r thrd and P thrd are the probability threshold and the proportion threshold respectively. If the number of hub points screened by the current conditions does not meet the minimum number requirement, continue screening according to condition (2), otherwise complete the screening.

[0121] (2) Select hub points from the entire community;

[0122] Eliminate the selected hub point, for any remote radio unit i and remote radio unit j in the cell, The values ​​are sorted from large to small, and the remote radio frequency unit i corresponding to the large value is taken as the hub point. If the number of hub points screened by the current condition does not meet the minimum number requirement, the screening is continued according to condition (3), otherwise the screening is completed. It is worth noting that the screening hub point in the embodiment of the present application is the selected target remote radio frequency unit.

[0123] (3) Screening and supplementing from the remaining points;

[0124] Eliminate the selected hub point, for any remote radio unit i and remote radio unit j in the cell, The values ​​are sorted from large to small, and the remote radio frequency units i corresponding to the large values ​​are taken as hub points in turn until the number of selected hub points reaches the minimum number.

[0125] It is worth noting that the pRRU is the remote radio frequency unit in the embodiment of the present application.

[0126] In addition, if Figure 15 As shown, an embodiment of the present application further provides an electronic device 700, which includes:

[0127] The memory 720 , the processor 710 , and computer programs stored in the memory 720 and executable on the processor 710 .

[0128] The processor 710 and the memory 720 may be connected via a bus or other means.

[0129] It should be noted that the electronic device 700 in this embodiment and the device selection method in the above embodiments belong to the same inventive concept, so these embodiments have the same implementation principles and technical effects, which will not be described in detail here.

[0130] The non-transient software program and instructions required to implement the device selection method of the above embodiment are stored in the memory 720. When executed by the processor 710, the device selection method of the above embodiment is executed, for example, the above-described Figure 1 Steps S100 to S400 of the method, Figure 2 Steps S210 to S220 of the method, Figure 3 Steps S310 to S330 of the method, Figure 4 Steps S340 to S350 of the method, Figure 5 Steps S410 to S430 of the method, Figure 6 Steps S411 to S413 of the method, Figure 7 Steps S421 to S423 of the method, Figure 8 Steps S431 to S432 of the method, Figure 9 Steps S510 to S520 of the method, Figure 10 Method steps S341 to S343.

[0131] In addition, an embodiment of the present application further provides a computer-readable storage medium, which stores computer-executable instructions. The computer-executable instructions are executed by a processor 710, for example, by a processor 710 in the embodiment of the electronic device 700, so that the processor 710 can execute the device selection method in the embodiment, for example, execute the above-described Figure 1 Steps S100 to S400 of the method, Figure 2 Steps S210 to S220 of the method, Figure 3 Steps S310 to S330 of the method, Figure 4 Steps S340 to S350 of the method, Figure 5 Steps S410 to S430 of the method, Figure 6 Steps S411 to S413 of the method, Figure 7 Steps S421 to S423 of the method, Figure 8 Steps S431 to S432 of the method, Figure 9 Steps S510 to S520 of the method, Figure 10 Method steps S341 to S343.

[0132] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0133] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above implementation mode. Technical personnel familiar with the field can also make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A device selection method, the method comprising: Obtaining a sounding reference signal of a target cell; Determining the number of user hand-ins and the number of user migrations according to the detection reference signal; Determining a remote radio frequency unit location distribution attribute according to the number of user hand-ins, and determining user mobility distribution information according to the number of user migrations; A target remote radio frequency unit is determined according to the remote radio frequency unit location distribution attribute and the user mobility distribution information.

2. The device selection method according to claim 1, characterized in that: The determining the number of user hand-in times and the number of user migration times according to the sounding reference signal includes: Determine a resident remote radio frequency unit corresponding to the user equipment according to the sounding reference signal; At each preset time interval, the number of user hand-ins is determined according to the number of user equipments entering the resident remote radio frequency unit, and the number of user migrations is determined according to the number of user equipments leaving the resident remote radio frequency unit.

3. The device selection method according to claim 2, characterized in that: The remote radio frequency unit location distribution attribute includes edge remote radio frequency units and internal remote radio frequency units, and determining the remote radio frequency unit location distribution attribute according to the number of user hand-ins includes: Comparing the user cut-in times with a preset threshold; When the number of user hand-ins is greater than or equal to the threshold, determining the resident remote radio frequency unit as the edge remote radio frequency unit; In a case where the number of user hand-ins is less than the threshold, the resident remote radio frequency unit is determined as the internal remote radio frequency unit.

4. The device selection method according to claim 1, characterized in that: The determining of user mobility distribution information according to the number of user migrations includes: Determining a movement probability based on the number of user migrations and the computing performance of the base station corresponding to the target cell, wherein the movement probability is used to represent a probability of a user equipment moving between any two remote radio frequency units in the target cell; The movement probability is determined as the user movement distribution information.

5. The device selection method according to claim 1, characterized in that: The determining a target remote radio frequency unit according to the remote radio frequency unit location distribution attribute and the user mobility distribution information includes: Performing a traversal process on all edge remote radio frequency units in the target cell, and determining the edge remote radio frequency units that meet a preset first hub selection condition as the target remote radio frequency units, wherein the number of the target remote radio frequency units is determined to be a first value; If the first value is less than a preset number threshold, the edge remote radio frequency units determined as the target remote radio frequency units are eliminated, the remaining remote radio frequency units in the target cell are subjected to a first screening process, and the remote radio frequency units that meet a preset second hub selection condition are determined as the target remote radio frequency units, wherein the number of all the target remote radio frequency units in the target cell is determined as a second value; When the second value is less than the quantity threshold, all the remote RF units in the target cell that are determined to be the target remote RF units are eliminated, and the remaining remote RF units in the target cell are subjected to a second screening process, and the remote RF units that meet the preset third hub selection condition are determined as the target remote RF units.

6. The device selection method according to claim 5, characterized in that: The traversing all edge remote radio frequency units in the target cell and determining the edge remote radio frequency unit that meets a preset first hub selection condition as the target remote radio frequency unit includes: Comparing the movement probabilities corresponding to all the edge remote radio frequency units with a preset probability threshold to obtain a third value, wherein the third value is used to represent the number of the number of edge remote radio frequency units in the target cell whose movement probabilities corresponding to the edge remote radio frequency units are greater than the probability threshold; Determine a first proportional threshold according to the third value and the number of all the remote radio frequency units in the target cell; When the first ratio threshold is greater than a preset ratio threshold, the corresponding edge remote radio frequency unit is determined as the target remote radio frequency unit.

7. The device selection method according to claim 5, characterized in that: The performing a first screening process on the remaining remote radio frequency units in the target cell and determining the remote radio frequency units that meet a preset second hub selection condition as the target remote radio frequency units includes: Comparing the movement probabilities corresponding to the remaining remote radio frequency units in the target cell with a preset probability threshold to obtain a fourth value, wherein the fourth value is used to represent the number of remote radio frequency units remaining in the target cell for which the movement probabilities corresponding to each remote radio frequency unit are greater than the probability threshold; determining a plurality of second proportional thresholds according to the plurality of fourth values ​​and the number of all the remote radio frequency units in the target cell; A preset number of second proportional thresholds are selected from the plurality of second proportional thresholds in descending order, and the remote radio frequency units corresponding to the selected second proportional thresholds are used as the target remote radio frequency units.

8. The device selection method according to claim 5, characterized in that: The performing a second screening process on the remaining remote radio frequency units in the target cell and determining the remote radio frequency units that meet a preset third hub selection condition as the target remote radio frequency units includes: sorting the movement probabilities corresponding to the remaining remote radio frequency units in the target cell; The multiple movement probabilities are selected from large to small, and the remote radio frequency units corresponding to the selected movement probabilities are used as the target remote radio frequency units, until the number of the target remote radio frequency units determined in the target cell reaches the number threshold.

9. The device selection method according to claim 1, characterized in that: After determining the target remote radio frequency unit according to the remote radio frequency unit location distribution attribute and the user mobility distribution information, the method further includes: comparing the currently determined target remote radio frequency unit with historical target remote radio frequency units; In a case where the current target remote radio frequency unit is inconsistent with the historical target remote radio frequency unit, the remote radio frequency unit list for storing the target remote radio frequency unit is updated to the current target remote radio frequency unit.

10. The device selection method according to claim 4, characterized in that: The determining of the movement probability according to the number of user migrations and the computing performance of the base station corresponding to the target cell includes: Determining a first-order transition probability according to the number of remote radio frequency units of the target cell and the number of user migrations; and determining a computing performance value according to the computing performance of a base station corresponding to the target cell; determining a multi-order transition probability based on the first-order transition probability and the computational performance value; The movement probability is determined according to the multi-order transition probability and the calculated performance value.

11. An electronic device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When at least one of the programs is executed by at least one of the processors, the device selection method according to any one of claims 1 to 10 is implemented.

12. A computer-readable storage medium storing computer-executable instructions, characterized in that: The computer-executable instructions are used to execute the device selection method described in any one of claims 1 to 10.

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