Cell capacity expansion management method and device

Abstract

The invention discloses a cell capacity expansion management method and device. The method comprises the following steps: determining a scene type of a target cell; for the public-oriented scene, obtaining the number of users and the total downlink traffic in a target time period; when the user number exceeds a threshold value set based on a user experience model reflecting user network experience changes, or the downlink flow exceeds a threshold value set based on a flow suppression model reflecting cell downlink flow changes along with the user number, expansion processing is carried out; for an enterprise-oriented scene, the total uplink bandwidth demand and the average network transmission delay in the same time period need to be acquired; and if the uplink bandwidth demand exceeds an uplink bandwidth threshold value determined according to the network equipment parameters, or the average network transmission delay exceeds a preset transmission delay threshold value, performing capacity expansion on the target cell as well. According to the method and the device, the technical problem that a related cell capacity expansion analysis scheme is difficult to accurately adapt to capacity expansion requirements of different scenes due to single judgment basis is solved.

Description

Technical Field

[0001] The present application relates to the field of communication service technology, and in particular to a method and device for cell expansion management. Background Art

[0002] The existing 5G cell expansion assessment method mainly relies on the physical resource block utilization indicator. When the downlink or uplink PRB utilization of a cell exceeds 70% for more than 18 days in a month, it is defined as a high-load cell and triggers expansion. In addition, there are a variety of expansion assessment methods and technologies, such as making expansion decisions based on the proportion of weak coverage sampling points of the cell RSRP (Reference Signal Received Power), network traffic carrying thresholds, traffic prediction results, and user perception indicators. These methods aim to optimize network resource allocation through different evaluation criteria and improve overall network performance and user experience.

[0003] Although the existing 5G cell expansion assessment methods and patent applications have proposed some improvement measures, these methods still have obvious limitations. The main manifestation is that the evaluation criteria are single and fail to comprehensively consider multiple key factors such as user experience rate drop, traffic suppression, uplink bandwidth requirements and end-to-end latency, resulting in unreasonable allocation of network resources and affecting service quality and resource utilization efficiency. Especially in enterprise scenarios, high uplink bandwidth and low latency are crucial to ensuring business continuity and service quality, and the existing methods fail to fully meet these requirements, which may lead to impaired user experience and poor network optimization effects. In addition, the expansion standards are not flexible enough, and all scenarios use the same threshold value, which cannot adapt to diverse business needs, further limiting the application scenarios and execution efficiency of network optimization.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a method and device for managing cell expansion, so as to at least solve the technical problem that related cell expansion analysis schemes are difficult to accurately apply to the expansion requirements of different scenarios due to a single decision basis.

[0006] According to one aspect of an embodiment of the present application, a cell expansion management method is provided, including: determining a scenario type corresponding to a target cell; when the scenario type is a public scenario, obtaining the target number of users using the network and the total amount of downlink traffic in the target cell within a target time period, and when the target number of users is greater than a user number threshold, and / or the total amount of downlink traffic is greater than a downlink traffic threshold, expanding the target cell, wherein the user number threshold is determined based on a user experience model that reflects that the user's network experience changes with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects that the cell downlink traffic changes with the number of users; when the scenario type is an enterprise scenario, obtaining the total amount of uplink bandwidth demand and the average network transmission delay of the target cell within the target time period, and when the total amount of uplink bandwidth demand is greater than the uplink bandwidth threshold, and / or the average network transmission delay is greater than a preset transmission delay threshold, expanding the target cell, wherein the uplink bandwidth threshold is determined based on device parameters of a network device that provides network services for the target cell.

[0007] Optionally, the process of determining the user quantity threshold includes: obtaining multiple groups of network experience data of the target cell within a historical time period, wherein each group of network experience data includes the number of users using the network at a historical moment and the average network experience rate of the users; drawing a first scatter plot based on the multiple groups of network experience data, and determining a first curve in which the average network experience rate of the users decays with the number of users using the network based on the first scatter plot, and using the first curve as a user experience model; determining a target network experience rate that meets the user's network usage needs; and determining the number of users corresponding to the target network experience rate in the user experience model as the user quantity threshold.

[0008] Optionally, determining a target network experience rate that meets the user's network usage needs includes: obtaining multiple groups of satisfaction rating data of multiple users for different network experience rates; determining a second curve according to the multiple groups of satisfaction rating data, in which the proportion of users who are satisfied with the network experience rate increases with the network experience rate; and determining the network experience rate corresponding to a preset user proportion in the second curve as the target network experience rate.

[0009] Optionally, the process of determining the downlink traffic threshold includes: obtaining multiple groups of network traffic data of the target cell within a historical time period, wherein each group of network traffic data includes the number of users using the network and the cell downlink traffic at a historical moment; drawing a second scatter plot based on the multiple groups of network traffic data, and determining a third curve of the cell downlink traffic as the number of users using the network changes based on the second scatter plot, and using the third curve as a traffic suppression model; determining the cell downlink traffic corresponding to the point in the traffic suppression model where the slope of the curve is first less than a preset threshold as the downlink traffic threshold.

[0010] Optionally, obtaining the total uplink bandwidth demand of the target cell within the target time period includes: obtaining multiple data services to be processed in the target cell within the target time period; determining the uplink bandwidth demand data of the data services when the service quality of each data service reaches a preset indicator, wherein the uplink bandwidth demand data includes at least one of the following: an average uplink bandwidth demand, a peak uplink bandwidth demand; and determining the total uplink bandwidth demand based on the uplink bandwidth demand data of each data service.

[0011] Optionally, the process of determining the uplink bandwidth threshold includes: obtaining equipment parameters of a network device that provides network services for a target cell, wherein the equipment parameters include at least one of the following: operating frequency band, bandwidth, antenna configuration, transmit power, maximum uplink throughput, maximum downlink throughput, number of supported users, latency, and packet loss rate; determining the maximum uplink bandwidth of the network device under preset working conditions based on the equipment parameters, the average uplink rate of the target cell under the corresponding conditions, and determining the theoretical maximum uplink rate of the target cell; determining the ratio of the average uplink rate to the maximum uplink rate as the target resource utilization; and determining the product of the maximum uplink bandwidth and the target resource utilization as the uplink bandwidth threshold.

[0012] Optionally, the target cell is expanded, including: generating expansion prompt information, wherein the expansion prompt information is used to prompt the target object that the resource configuration of the target cell cannot meet the demand and needs to be expanded; in response to the expansion strategy configured by the target object, the target cell is expanded according to the expansion strategy, wherein the expansion strategy includes at least one of the following: increasing the resource allocation of the base station to the target cell, adding a new cell to the area corresponding to the target cell, and adding base stations covering the target cell.

[0013] According to another aspect of an embodiment of the present application, a cell expansion management device is also provided, including: a determination module, used to determine the scenario type corresponding to the target cell; a first expansion module, used to obtain the target number of users using the network and the total amount of downlink traffic in the target cell within the target time period when the scenario type is a public-oriented scenario, and expand the target cell when the number of target users is greater than the user number threshold and / or the total amount of downlink traffic is greater than the downlink traffic threshold, wherein the user number threshold is determined based on a user experience model that reflects the user's network experience as the number of users changes, and the downlink traffic threshold is determined based on a traffic suppression model that reflects the cell downlink traffic as the number of users changes; a second expansion module, used to obtain the total amount of uplink bandwidth demand and average network transmission delay of the target cell within the target time period when the scenario type is an enterprise-oriented scenario, and expand the target cell when the total amount of uplink bandwidth demand is greater than the uplink bandwidth threshold and / or the average network transmission delay is greater than a preset transmission delay threshold, wherein the uplink bandwidth threshold is determined based on device parameters of a network device that provides network services for the target cell.

[0014] According to another aspect of an embodiment of the present application, a computer program product is further provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the above-mentioned cell expansion management method is implemented.

[0015] According to another aspect of an embodiment of the present application, an electronic device is further provided, the electronic device comprising: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned cell expansion management method through the computer program.

[0016] In the embodiment of the present application, by identifying the scenario type of the target cell, different expansion strategies can be applied in a targeted manner to ensure that the expansion decision is highly matched with the actual service scenario, thereby enhancing the scenario adaptability and pertinence of network optimization. In the evaluation of public scenarios, by setting the user quantity threshold and the downlink traffic threshold, combined with the user experience model and the traffic suppression model, it can ensure that even under high network load, users can enjoy basic service quality, avoiding the experience rate from dropping to an unacceptable level or the traffic growth reaching the suppression inflection point, thereby significantly improving the service experience of public users. In the evaluation of enterprise scenarios, based on the monitoring of the total uplink bandwidth demand and the average network transmission delay, it is possible to promptly discover and solve the problem of insufficient uplink bandwidth or delay exceeding the tolerance range, ensuring the strict requirements of enterprise-level applications for network stability and low latency, and improving business continuity and service efficiency in enterprise scenarios. Through the expansion standards customized based on the scenario, unnecessary expansion operations are avoided to ensure the rational allocation and efficient use of network resources. At the same time, the dual-dimensional (user experience / traffic suppression, uplink bandwidth demand / latency) evaluation criteria enhance the flexibility and adaptability of capacity expansion decisions, and can better serve changing business needs, thereby solving the technical problem that the relevant cell expansion analysis solutions are difficult to accurately apply to the capacity expansion needs of different scenarios due to the single decision basis. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 It is a flowchart of an optional cell expansion management method according to an embodiment of the present application;

[0019] Figure 2 is a schematic diagram of an optional user experience model curve according to an embodiment of the present application;

[0020] Figure 3is an optional scatter plot of multiple groups of network experience data according to an embodiment of the present application;

[0021] Figure 4 is an optional flow suppression model curve schematic diagram according to an embodiment of the present application;

[0022] Figure 5 is an optional scatter plot of multiple groups of network traffic data according to an embodiment of the present application;

[0023] Figure 6 is a schematic structural diagram of an optional cell expansion management device according to an embodiment of the present application;

[0024] Figure 7 It is a schematic diagram of the structure of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] The information collected in the embodiments of the present application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with the relevant laws, regulations and standards of the relevant countries and regions, take necessary confidentiality measures, do not violate public order and good customs, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0028] Example 1

[0029] According to an embodiment of the present application, a cell expansion management method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] Figure 1 is a flow chart of a cell expansion management method provided according to an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0031] Step S102, determining the scene type corresponding to the target cell;

[0032] Step S104, when the scenario type is a public scenario, the number of target users using the network and the total amount of downlink traffic in the target cell within the target time period are obtained, and when the number of target users is greater than the user number threshold and / or the total amount of downlink traffic is greater than the downlink traffic threshold, the target cell is expanded, wherein the user number threshold is determined based on a user experience model that reflects that the user's network experience varies with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects that the cell downlink traffic varies with the number of users;

[0033] Step S106, when the scenario type is an enterprise-oriented scenario, the total uplink bandwidth demand and average network transmission delay of the target cell in the target time period are obtained, and when the total uplink bandwidth demand is greater than the uplink bandwidth threshold, and / or the average network transmission delay is greater than the preset transmission delay threshold, the target cell is expanded, wherein the uplink bandwidth threshold is determined based on the device parameters of the network device that provides network services for the target cell.

[0034] The following describes each step of the cell expansion management method in conjunction with a specific implementation process.

[0035] First, determine the scenario type corresponding to the target cell.

[0036] For example, we can examine the geographical location characteristics covered by the cell, such as the city center, commercial area, industrial park, subway, urban village or rural area, and analyze the population density, building structure, mobility requirements, etc. in the area to identify its main usage scenarios. Or we can analyze the business needs of the area, including data traffic, uplink / downlink bandwidth requirements, latency sensitivity, etc. For public scenarios, we mainly focus on consumer applications, such as video streaming, social media, online games, etc. For enterprise scenarios, we focus more on industry applications, such as remote monitoring, automatic control, industrial Internet of Things, etc., which usually have higher requirements for uplink bandwidth and latency. Or, we can analyze the user behavior patterns in the cell, including usage time, activity, data usage, etc. User behavior in public scenarios may be more dispersed, while user activities in enterprise scenarios may be more concentrated and related to specific business processes or working hours. Based on the actual technical indicators of the cell, such as PRB (Physical Resource Block) utilization, RSRP level, MIMO (Multiple-Input Multiple-Output) performance, etc., its main service scenarios can be inferred. Public scenarios may pay more attention to downlink rate and number of users, while enterprise scenarios often require stable uplink bandwidth and low latency.

[0037] Once the scenario type is determined, corresponding expansion assessment strategies can be formulated for public or enterprise scenarios. For example, for public scenarios, the focus will be on user experience rate and traffic suppression; while for enterprise scenarios, the focus will be on uplink bandwidth requirements and end-to-end latency assessment.

[0038] Different treatment measures are taken according to different scenario types, as follows:

[0039] When the scenario type is a public scenario, the target number of users using the network and the total amount of downlink traffic in the target cell within the target time period are obtained, and when the target number of users is greater than the user number threshold, and / or the total amount of downlink traffic is greater than the downlink traffic threshold, the target cell is expanded, wherein the user number threshold is determined based on a user experience model that reflects how the user's network experience varies with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects how the cell downlink traffic varies with the number of users.

[0040] As an optional implementation, the process of determining the user quantity threshold may adopt the following steps:

[0041] S1, obtaining multiple groups of network experience data of the target cell within a historical time period, wherein each group of network experience data includes the number of users using the network and the average network experience rate of the users at a historical moment;

[0042] S2, drawing a first scatter plot based on the multiple sets of network experience data, and determining a first curve according to which the average network experience rate of users decays with the number of users using the network, and using the first curve as a user experience model;

[0043] Collect multiple sets of network experience data for the target cell. These data include the number of users at different time points (such as the number of RRC connected users) and the corresponding average network experience rate (such as download speed or video streaming fluency). These data are collected in the system configuration under the 3.5 GHz frequency band, 64T64R configuration, 100 MHz bandwidth, and 7:3 timeslot ratio, while ensuring that the MU-MIMO feature is enabled.

[0044] For example, multiple sets of network experience data of the target cell within a certain historical time period (such as the past month) are collected. Each set of data contains the number of users at a specific moment (the number of RRC-connected users using the network) and the corresponding average network experience rate (such as download rate). By representing the above historical data in a scatter plot, with the horizontal axis representing the number of users and the vertical axis representing the average network experience rate, the relationship between the number of users and the experience rate can be observed. These scatter plot data are analyzed, and a curve is determined through trend lines or curve fitting techniques to show how the user's average network experience rate decays as the number of users increases. This curve shows how the user's average network experience rate decreases as the number of users increases. This is the user experience model, which is used to reflect the negative impact of an increase in the number of users on the network experience. This curve can be shown as Figure 2 As shown, in Figure 2 In the figure, point A can be understood as the user experience requirement, that is, the average network experience rate meets the required expansion threshold, that is, the limit on the number of users.

[0045] S3, determining a target network experience rate that meets the user's network usage requirements;

[0046] As an optional implementation, to determine a target network experience rate that meets the user's network usage needs, the following steps may be taken: obtaining multiple sets of satisfaction rating data from multiple users for different network experience rates; determining, based on the multiple sets of satisfaction rating data, a second curve in which the proportion of users who are satisfied with the network experience rate increases with the network experience rate; and determining the network experience rate corresponding to a preset user proportion in the second curve as the target network experience rate.

[0047] For example, in order to determine the target network experience rate, the technicians may conduct a user satisfaction survey, collect user satisfaction rating data for different network experience rates, and based on these data, draw a second curve of user ratio and network experience rate. Figure 3It shows that when the number of users increases to a certain point, the improvement in network experience rate begins to slow down, that is, the rate improvement perceived by users is no longer significant. At this time, the optimal network experience rate corresponding to the preset user ratio (for example, 90% of users are satisfied) is the target network experience rate.

[0048] S4, determining the number of users corresponding to the target network experience rate in the user experience model as a user number threshold.

[0049] According to the target network experience rate determined in S3, find the number of users corresponding to this rate in the user experience model (first curve), and combine Figure 2 , assuming that this critical point A is when the number of users reaches 180, the experienced rate drops to 10Mbps@90%, which means that when the number of users in the cell reaches 180, the network will begin to be unable to provide sufficient experienced rate to meet the needs of most users, thus defining the user number threshold.

[0050] As an optional implementation, the process of determining the downlink traffic threshold may be: obtaining multiple sets of network traffic data of the target cell within a historical time period, wherein each set of network traffic data includes the number of users using the network and the cell downlink traffic at a historical moment; drawing a second scatter plot based on the multiple sets of network traffic data, and determining a third curve showing how the cell downlink traffic changes with the number of users using the network based on the second scatter plot, and using the third curve as a traffic suppression model; determining the cell downlink traffic corresponding to the point in the traffic suppression model where the slope of the curve is first less than a preset threshold as the downlink traffic threshold.

[0051] The third curve can be Figure 4 The number of users in corresponds to the actual growth model curve of network traffic. Figure 4 In an ideal state, the relationship between network performance (such as user experience rate, cell traffic, etc.) and influencing factors (such as the number of users) usually shows a linear or nearly linear growth model until the maximum carrying capacity of the system design is reached, that is, Figure 4The curve of the ideal growth model of the number of users and network traffic in the network. In fact, network performance indicators (such as user experience rate, cell traffic, etc.) increase with the increase of certain factors (such as the number of users), but when they reach a certain point, the performance indicators begin to decline, which indicates that the network begins to be congested or resource-constrained. The threshold is usually set at the point where the curve begins to decline, that is, the inflection point where the performance indicator begins to decline after reaching the maximum value. This inflection point indicates that the system has reached the optimal state, and the performance will deteriorate thereafter. Therefore, it is the key point for network expansion decisions. The case where the threshold is set to 0 usually refers to the inflection point where the slope of the curve changes from positive to negative, marking the end of the growth trend and the beginning of the downward trend. However, the actual threshold setting is not 0 in a numerical sense, but refers to the performance turning point, that is, the point where the system performance turns from growth to decline. For example, Figure 5 As shown in FIG. 1 , when the downlink traffic reaches or exceeds 50 GB, a traffic suppression signal is triggered, which means that the network load has reached or exceeded the traffic suppression threshold and capacity expansion is required.

[0052] In the case of enterprise scenarios, the quality of network services is crucial to business continuity and user experience. Therefore, monitoring the total uplink bandwidth demand and average network transmission delay of the target cell and judging whether capacity expansion is needed based on these data are important measures to ensure service quality. The following is a detailed explanation of the process:

[0053] When the scenario type is an enterprise-oriented scenario, the total uplink bandwidth demand and average network transmission delay of the target cell in the target time period are obtained, and when the total uplink bandwidth demand is greater than the uplink bandwidth threshold, and / or the average network transmission delay is greater than the preset transmission delay threshold, the target cell is expanded, wherein the uplink bandwidth threshold is determined based on the device parameters of the network device that provides network services for the target cell.

[0054] As an optional implementation, obtaining the total uplink bandwidth demand of the target cell within the target time period may include the following steps: obtaining multiple data services to be processed by the target cell within the target time period; determining the uplink bandwidth demand data of the data services when the service quality of each data service reaches a preset indicator, wherein the uplink bandwidth demand data includes at least one of the following: an average uplink bandwidth demand and a peak uplink bandwidth demand; and determining the total uplink bandwidth demand based on the uplink bandwidth demand data of each data service.

[0055] First, it is necessary to collect multiple data services to be processed in the target cell within the target time period. These services may include video backhaul, remote control, industrial automation data transmission, etc. Each service has its own unique data transmission requirements and characteristics. For each data service, determine the uplink bandwidth demand data when the service quality reaches the preset indicators. The preset indicators may include but are not limited to the clarity of the video stream, the response time of the remote control, etc., to ensure the normal operation of the service and user experience.

[0056] For example, for the implementation scenario of real-time video backhaul of cameras in factories, the I frame size varies greatly under different cameras, resolutions, and encoding methods. Video frames are divided into I frames and P frames. In particular, the bandwidth requirement of I frames is 6 to 10 times the bit rate, which is very important for calculating bandwidth requirements. Table 1 provides the I frame bandwidth requirements under different resolutions, bit rates, and encoding methods. For example, for 1080p video with a bit rate of 4Mbps, the I frame rate can reach 34Mbps. Based on the I frame / P frame principle, considering the typical bit rate and I frame rate, as well as the redundancy coefficient, the total bandwidth requirement of each CPE is calculated. Table 2 summarizes key indicators under different resolutions, including typical bit rate, I frame bandwidth, number of cameras / CPE, and redundancy coefficient. For example, when the resolution is 2K, the bit rate is 2Mbps, the I frame bandwidth is 15Mbps, and the redundancy coefficient is 3.6, the total bandwidth requirement of each CPE is 36Mbps, and the total bandwidth requirement of each CPE is finally obtained. For example, when supporting 5 CPEs, the total bandwidth requirement is 5×36=180 Mbps; when supporting 10 CPEs, the total bandwidth requirement is 10×36=360 Mbps.

[0057] Table 1 Typical camera I frame bandwidth requirements

[0058]

[0059] Table 2 Key indicator requirements for different resolutions

[0060]

[0061] As an optional implementation, the process of determining the uplink bandwidth threshold may include the following steps: obtaining device parameters of a network device that provides network services for a target cell, wherein the device parameters include at least one of the following: operating frequency band, bandwidth, antenna configuration, transmit power, maximum uplink throughput, maximum downlink throughput, number of supported users, latency, and packet loss rate; determining the maximum uplink bandwidth of the network device under preset working conditions based on the device parameters, the average uplink rate of the target cell under the corresponding conditions, and determining the theoretical maximum uplink rate of the target cell; determining the ratio of the average uplink rate to the maximum uplink rate as the target resource utilization; and determining the product of the maximum uplink bandwidth and the target resource utilization as the uplink bandwidth threshold.

[0062] Table 3 shows the average uplink rate of the cell under different equipment configurations. For example, the average uplink rate of AAU 64TRX under 100MHz bandwidth, 7:3 timeslot ratio, and 2T4R UE configuration is 300Mbps. Assume that the theoretical maximum uplink rate of AAU 64TRX is 400Mbps: Based on this assumption, the resource utilization rate (300Mbps / 400Mbps=0.75) can be calculated. The uplink bandwidth capacity of the cell is the theoretical maximum rate multiplied by the resource utilization rate, which is 300Mbps. Therefore, the uplink bandwidth threshold of AAU 64TRX is 300Mbps.

[0063] Table 3 Average uplink rate of cells

[0064]

[0065] The above two key performance indicators are continuously monitored. If it is found that the total uplink bandwidth demand exceeds the uplink bandwidth threshold, or the average network transmission delay exceeds the preset transmission delay threshold, it can be decided to expand the capacity of the target cell to improve its service capability and ensure service quality.

[0066] Expanding the capacity of the target cell may include the following steps: generating expansion prompt information, wherein the expansion prompt information is used to prompt the target object that the resource configuration of the target cell cannot meet the demand and needs to be expanded; in response to the expansion strategy configured by the target object, expanding the target cell according to the expansion strategy, wherein the expansion strategy includes at least one of the following: increasing the resource allocation of the base station to the target cell, adding a new cell to the area corresponding to the target cell, and adding base stations covering the target cell.

[0067] The expansion prompt information usually includes the current cell load situation, unmet indicators (such as reduced user experience rate, suppressed traffic, insufficient uplink bandwidth, and excessive latency), the recommended reasons and urgency for expansion, and an overview of possible expansion plans. The expansion prompt information can be conveyed to decision makers or the operation and maintenance team via email, text messages, operation and maintenance platform interfaces, etc., so that they can proceed to the next step.

[0068] Increasing the resource allocation of the base station to the target cell can include: adjusting the carrier configuration of the base station, increasing spectrum resources, optimizing base station parameter settings (such as power, time slot ratio, etc.). For example, in a public scenario, when the experience rate is affected by the increase in the number of users, the capacity can be increased by increasing downlink frequency resources or optimizing MIMO settings.

[0069] Adding new cells to the area corresponding to the target cell means further subdividing the existing cells geographically, and adding small base stations or micro cells to cover specific areas, thereby dispersing users and traffic and improving overall network capacity. In enterprise scenarios such as factories or industrial parks, this may be a key measure to solve uplink bandwidth requirements and reduce latency, especially in scenarios with high-density deployment and specific performance requirements.

[0070] For example, when 10 CPEs need to be supported and each CPE requires 36Mbps of uplink bandwidth, a total bandwidth of 360Mbps is required. Using 64TRX AAU, the uplink bandwidth capacity is 300Mbps, so 2 AAU cells are needed to meet the demand. Because the required number of cells is ≥ 2, capacity expansion is required, which means that the current single AAU cell cannot meet business needs, and more AAU cells must be added or other measures must be taken to increase the uplink bandwidth capacity.

[0071] Adding base stations covering the target cells is not only applicable to public scenarios, such as urban villages, subways and other high-density areas, but also to enterprise scenarios, such as large enterprise parks or complex industrial environments, to ensure signal quality and carrying capacity.

[0072] In the embodiment of the present application, by identifying the scenario type of the target cell, different expansion strategies can be applied in a targeted manner to ensure that the expansion decision is highly matched with the actual service scenario, thereby enhancing the scenario adaptability and pertinence of network optimization. In the evaluation of public scenarios, by setting the user quantity threshold and the downlink traffic threshold, combined with the user experience model and the traffic suppression model, it can ensure that even under high network load, users can enjoy basic service quality, avoiding the experience rate from dropping to an unacceptable level or the traffic growth reaching the suppression inflection point, thereby significantly improving the service experience of public users. In the evaluation of enterprise scenarios, based on the monitoring of the total uplink bandwidth demand and the average network transmission delay, it is possible to promptly discover and solve the problem of insufficient uplink bandwidth or delay exceeding the tolerance range, ensuring the strict requirements of enterprise-level applications for network stability and low latency, and improving business continuity and service efficiency in enterprise scenarios. Through the expansion standards customized based on the scenario, unnecessary expansion operations are avoided to ensure the rational allocation and efficient use of network resources. At the same time, the dual-dimensional (user experience / traffic suppression, uplink bandwidth demand / latency) evaluation criteria enhance the flexibility and adaptability of capacity expansion decisions, and can better serve changing business needs, thereby solving the technical problem that the relevant cell expansion analysis solutions are difficult to accurately apply to the capacity expansion needs of different scenarios due to the single decision basis.

[0073] Example 2

[0074] According to an embodiment of the present application, a cell expansion management device for implementing the cell expansion management method in embodiment 1 is also provided. Figure 6 As shown, the cell expansion management device at least includes: a determination module 61, a first expansion module 62 and a second expansion module 63, wherein:

[0075] A determination module 61, used to determine the scene type corresponding to the target cell;

[0076] A first expansion module 62 is used for obtaining the number of target users using the network and the total amount of downlink traffic in the target cell within the target time period when the scenario type is a public scenario, and expanding the target cell when the number of target users is greater than a user number threshold and / or the total amount of downlink traffic is greater than a downlink traffic threshold, wherein the user number threshold is determined based on a user experience model that reflects the change of the user's network experience with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects the change of the cell downlink traffic with the number of users;

[0077] The second capacity expansion module 63 is used to obtain the total uplink bandwidth demand and average network transmission delay of the target cell within the target time period when the scenario type is an enterprise-oriented scenario, and to expand the target cell when the total uplink bandwidth demand is greater than the uplink bandwidth threshold and / or the average network transmission delay is greater than the preset transmission delay threshold, wherein the uplink bandwidth threshold is determined based on the device parameters of the network device that provides network services for the target cell.

[0078] The functions of each module of the cell expansion management device are described below in conjunction with a specific implementation process.

[0079] The determination module determines the scene type corresponding to the target cell.

[0080] Different treatment measures are taken according to different scenario types, as follows:

[0081] When the scenario type is a public scenario, the first expansion module obtains the target number of users using the network and the total amount of downlink traffic in the target cell within the target time period, and expands the target cell when the target number of users is greater than the user number threshold and / or the total amount of downlink traffic is greater than the downlink traffic threshold, wherein the user number threshold is determined based on a user experience model that reflects how the user's network experience varies with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects how the cell downlink traffic varies with the number of users.

[0082] As an optional implementation, the process of determining the user quantity threshold may adopt the following steps:

[0083] S1, obtaining multiple groups of network experience data of the target cell within a historical time period, wherein each group of network experience data includes the number of users using the network and the average network experience rate of the users at a historical moment;

[0084] S2, drawing a first scatter plot based on the multiple sets of network experience data, and determining a first curve according to which the average network experience rate of users decays with the number of users using the network, and using the first curve as a user experience model;

[0085] S3, determining a target network experience rate that meets the user's network usage requirements;

[0086] As an optional implementation, to determine a target network experience rate that meets the user's network usage needs, the following steps may be taken: obtaining multiple sets of satisfaction rating data from multiple users for different network experience rates; determining, based on the multiple sets of satisfaction rating data, a second curve in which the proportion of users who are satisfied with the network experience rate increases with the network experience rate; and determining the network experience rate corresponding to a preset user proportion in the second curve as the target network experience rate.

[0087] S4, determining the number of users corresponding to the target network experience rate in the user experience model as a user number threshold.

[0088] As an optional implementation, the process of determining the downlink traffic threshold may be: obtaining multiple sets of network traffic data of the target cell within a historical time period, wherein each set of network traffic data includes the number of users using the network and the cell downlink traffic at a historical moment; drawing a second scatter plot based on the multiple sets of network traffic data, and determining a third curve showing how the cell downlink traffic changes with the number of users using the network based on the second scatter plot, and using the third curve as a traffic suppression model; determining the cell downlink traffic corresponding to the point in the traffic suppression model where the slope of the curve is first less than a preset threshold as the downlink traffic threshold.

[0089] When the scenario type is an enterprise-oriented scenario, the second expansion module obtains the total uplink bandwidth demand and the average network transmission delay of the target cell within the target time period, and expands the target cell when the total uplink bandwidth demand is greater than the uplink bandwidth threshold and / or the average network transmission delay is greater than the preset transmission delay threshold, wherein the uplink bandwidth threshold is determined based on the device parameters of the network device providing network services for the target cell.

[0090] As an optional implementation, obtaining the total uplink bandwidth demand of the target cell within the target time period may include the following steps: obtaining multiple data services to be processed by the target cell within the target time period; determining the uplink bandwidth demand data of the data services when the service quality of each data service reaches a preset indicator, wherein the uplink bandwidth demand data includes at least one of the following: an average uplink bandwidth demand and a peak uplink bandwidth demand; and determining the total uplink bandwidth demand based on the uplink bandwidth demand data of each data service.

[0091] As an optional implementation, the process of determining the uplink bandwidth threshold may include the following steps: obtaining device parameters of a network device that provides network services for a target cell, wherein the device parameters include at least one of the following: operating frequency band, bandwidth, antenna configuration, transmit power, maximum uplink throughput, maximum downlink throughput, number of supported users, latency, and packet loss rate; determining the maximum uplink bandwidth of the network device under preset working conditions based on the device parameters, the average uplink rate of the target cell under the corresponding conditions, and determining the theoretical maximum uplink rate of the target cell; determining the ratio of the average uplink rate to the maximum uplink rate as the target resource utilization; and determining the product of the maximum uplink bandwidth and the target resource utilization as the uplink bandwidth threshold.

[0092] Expanding the capacity of the target cell may include the following steps: generating expansion prompt information, wherein the expansion prompt information is used to prompt the target object that the resource configuration of the target cell cannot meet the demand and needs to be expanded; in response to the expansion strategy configured by the target object, expanding the target cell according to the expansion strategy, wherein the expansion strategy includes at least one of the following: increasing the resource allocation of the base station to the target cell, adding a new cell to the area corresponding to the target cell, and adding base stations covering the target cell.

[0093] It should be noted that the modules in the cell expansion management device in the embodiment of the present application correspond one-to-one to the implementation steps of the cell expansion management method in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1, and will not be repeated here.

[0094] Example 3

[0095] According to an embodiment of the present application, a computer program product is also provided, which includes a computer program, wherein when the computer program is executed by a processor, the cell expansion management method in Example 1 is implemented.

[0096] According to an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the cell expansion management method in Example 1 by running the computer program.

[0097] According to an embodiment of the present application, a processor is also provided, which is used to run a computer program, wherein the cell expansion management method in Example 1 is executed when the computer program is running.

[0098] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the cell expansion management method in Example 1 through the computer program.

[0099] Specifically, when the computer program is running, the following steps are executed: determining the scenario type corresponding to the target cell; when the scenario type is a public scenario, obtaining the target number of users using the network and the total amount of downlink traffic in the target cell within the target time period, and when the target number of users is greater than the user number threshold, and / or the total amount of downlink traffic is greater than the downlink traffic threshold, expanding the target cell, wherein the user number threshold is determined based on a user experience model that reflects that the user's network experience changes with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects that the cell downlink traffic changes with the number of users; when the scenario type is an enterprise scenario, obtaining the total amount of uplink bandwidth demand and the average network transmission delay of the target cell within the target time period, and when the total amount of uplink bandwidth demand is greater than the uplink bandwidth threshold, and / or the average network transmission delay is greater than the preset transmission delay threshold, expanding the target cell, wherein the uplink bandwidth threshold is determined based on device parameters of a network device that provides network services for the target cell.

[0100] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 7 FIG. 1 shows a hardware structure block diagram of an electronic device for implementing a cell expansion management method. Figure 7 As shown, the electronic device 70 may include one or more (shown as 702a, 702b, ..., 702n in the figure) processors 702 (the processor 702 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 704 for storing data, and a transmission device 706 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 7 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 7 More or fewer components as shown, or with Figure 7Different configurations are shown.

[0101] It should be noted that the one or more processors 702 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the electronic device 70. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0102] The memory 704 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the cell expansion management method in the embodiment of the present application. The processor 702 executes various functional applications and data processing by running the software programs and modules stored in the memory 704, that is, realizing the vulnerability detection method of the above-mentioned application. The memory 704 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 704 may further include a memory remotely arranged relative to the processor 702, and these remote memories may be connected to the electronic device 70 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0103] The transmission device 706 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the electronic device 70. In one example, the transmission device 706 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 706 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0104] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 70 .

[0105] The serial numbers of the above embodiments are only for description and do not represent the advantages or disadvantages of the embodiments.

[0106] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0111] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A cell expansion management method, characterized in that: include: Determine the scene type corresponding to the target cell; When the scenario type is a public scenario, the number of target users using the network and the total amount of downlink traffic in the target cell within the target time period are obtained, and when the number of target users is greater than a user number threshold and / or the total amount of downlink traffic is greater than a downlink traffic threshold, the target cell is expanded, wherein the user number threshold is determined based on a user experience model that reflects that the user's network experience varies with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects that the cell downlink traffic varies with the number of users; In case the scenario type is an enterprise-oriented scenario, the total uplink bandwidth demand and the average network transmission delay of the target cell in a target time period are obtained, and when the total uplink bandwidth demand is greater than an uplink bandwidth threshold, and / or the average network transmission delay is greater than a preset transmission delay threshold, the target cell is expanded, wherein the uplink bandwidth threshold is determined based on device parameters of a network device that provides network services for the target cell.

2. The method according to claim 1, characterized in that The process of determining the user quantity threshold comprises: Acquire multiple groups of network experience data of the target cell within a historical time period, wherein each group of network experience data includes the number of users using the network and the average network experience rate of the users at a historical moment; Draw a first scatter plot according to the plurality of groups of network experience data, and determine a first curve according to which the average network experience rate of users decays with the number of users using the network, and use the first curve as the user experience model; Determine the target network experience rate that meets the user's network usage needs; Determine the number of users corresponding to the target network experience rate in the user experience model as the user number threshold.

3. The method according to claim 2, characterized in that Determine the target network experience rate that meets the user's network usage requirements, including: Obtain multiple groups of satisfaction rating data of multiple users for different network experience rates; Determine, based on the plurality of groups of satisfaction rating data, a second curve showing that the proportion of users who are satisfied with the network experience rate increases with the network experience rate; Determine the network experience rate corresponding to the preset user ratio in the second curve as the target network experience rate.

4. The method according to claim 1, characterized in that The process of determining the downstream traffic threshold includes: Acquire multiple groups of network traffic data of the target cell within a historical time period, wherein each group of network traffic data includes the number of users using the network and the downlink traffic of the cell at a historical moment; Draw a second scatter plot based on the plurality of groups of network traffic data, and determine a third curve showing the change of the cell downlink traffic as a function of the number of users using the network based on the second scatter plot, and use the third curve as the traffic suppression model; The cell downlink traffic corresponding to the point where the slope of the curve in the traffic suppression model is first smaller than a preset threshold is determined as the downlink traffic threshold.

5. The method according to claim 1, characterized in that The total uplink bandwidth demand of the target cell within the target time period is obtained, including: Acquire multiple data services to be processed by the target cell within the target time period; Determining the uplink bandwidth demand data of the data service when the service quality of each data service reaches the preset index, wherein the uplink bandwidth demand data includes at least one of the following: average uplink bandwidth demand, peak uplink bandwidth demand; The total uplink bandwidth requirement is determined according to the uplink bandwidth requirement data of each data service.

6. The method according to claim 1, characterized in that The process of determining the uplink bandwidth threshold includes: Acquire device parameters of a network device that provides network services for the target cell, wherein the device parameters include at least one of the following: operating frequency band, bandwidth, antenna configuration, transmit power, maximum uplink throughput, maximum downlink throughput, number of supported users, delay, and packet loss rate; Determine, based on the device parameters, the maximum uplink bandwidth of the network device under preset working conditions, the average uplink rate of the target cell under corresponding conditions, and determine the theoretical maximum uplink rate of the target cell; Determine a ratio of the average uplink rate to the maximum uplink rate as a target resource utilization rate; A product of the maximum uplink bandwidth and the target resource utilization is determined as the uplink bandwidth threshold.

7. The method according to claim 1, characterized in that Expanding the target cell includes: Generate capacity expansion prompt information, wherein the capacity expansion prompt information is used to prompt the target object that the resource configuration of the target cell cannot meet the demand and needs to be expanded; In response to the capacity expansion strategy configured for the target object, the target cell is expanded according to the capacity expansion strategy, wherein the capacity expansion strategy includes at least one of the following: increasing the resource allocation of the base station to the target cell, adding a new cell to the area corresponding to the target cell, and adding base stations covering the target cell.

8. A cell expansion management device, characterized in that: include: A determination module, used to determine the scene type corresponding to the target cell; A first capacity expansion module, configured to, when the scenario type is a public-oriented scenario, obtain the number of target users using the network and the total amount of downlink traffic in the target cell within a target time period, and expand the target cell when the number of target users is greater than a user number threshold and / or the total amount of downlink traffic is greater than a downlink traffic threshold, wherein the user number threshold is determined based on a user experience model that reflects the change of a user's network experience with the number of users, and the downlink traffic threshold is determined based on a traffic suppression model that reflects the change of a cell's downlink traffic with the number of users; The second capacity expansion module is used to obtain the total uplink bandwidth demand and average network transmission delay of the target cell within a target time period when the scenario type is an enterprise-oriented scenario, and to expand the target cell when the total uplink bandwidth demand is greater than an uplink bandwidth threshold and / or the average network transmission delay is greater than a preset transmission delay threshold, wherein the uplink bandwidth threshold is determined based on device parameters of a network device that provides network services for the target cell.

9. A computer program product, characterized in that include: A computer program, wherein when the computer program is executed by a processor, the cell expansion management method according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the cell expansion management method according to any one of claims 1 to 7 through the computer program.

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