Network deployment method, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses a network deployment method, electronic equipment and a computer readable storage medium, and belongs to the technical field of mobile communication. The network deployment method comprises the following steps: acquiring cell dynamic data in a predetermined network; calculating the average reachable channel capacity of users in the predetermined network according to the cell dynamic data; and determining a cell deployment strategy in the predetermined network according to the average reachable channel capacity of the user so as to deploy the predetermined network according to the cell deployment strategy. According to the embodiment of the invention, the optimal user perception of the cell networking configuration can be achieved.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of mobile communication, and particularly relate to a network deployment method, an electronic device and a computer readable storage medium. BACKGROUND

[0002] In the related art, the network deployment method of a super cell of a mobile communication network is to compare some indexes (such as handover frequency, interference noise, number of users, resource utilization) of a cell in the network with preset thresholds to determine whether to perform cell merging or splitting. For example, when the handover frequency is higher than a certain threshold, or the handover success rate is lower than a certain threshold, or the interference noise is higher than a certain threshold, the cell is merged to form a super cell, or the super cell is further merged to form a larger super cell. When the number of users or the number of high-speed mobile users is higher than a certain threshold, or the load is higher than a certain threshold, the super cell is split to become a smaller super cell or revert to a normal cell.

[0003] However, this network deployment method cannot determine or prove whether the corresponding configuration can achieve the best user perception. SUMMARY

[0004] The main purpose of embodiments of the present application is to provide a network deployment method, an electronic device and a computer readable storage medium, aiming to solve the technical problem of how to make the cell networking configuration achieve the best user perception.

[0005] To achieve the above-mentioned purpose, embodiments of the present application provide a network deployment method, which is applied to a network management and includes:

[0006] Obtaining cell dynamic data in a predetermined network, the predetermined network including at least two continuously covered normal cells and / or super cells;

[0007] Calculating user average reachable channel capacity in the predetermined network according to the cell dynamic data;

[0008] Determining a cell deployment strategy in the predetermined network according to the user average reachable channel capacity in the predetermined network, so as to deploy the predetermined network according to the cell deployment strategy.

[0009] In addition, to achieve the above-mentioned purpose, embodiments of the present application also provide a network deployment method, which is applied to a network infrastructure and includes:

[0010] Obtaining a space division multiplexing capability supported by a current super cell and a number of cells configured under the current super cell;

[0011] determining a proportion of spatial division multiplexing resources of each cell in the current super cell according to the spatial division multiplexing capability and the number of cells; wherein the proportion of spatial division multiplexing resources belongs to one of dynamic data of the cells, and the network management is configured to determine an average reachable channel capacity of users in the predetermined network according to the dynamic data of the cells, and determine a cell deployment strategy in the predetermined network according to the average reachable channel capacity of the users.

[0012] In addition, to achieve the above object, the embodiment of the present application further provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is executed by the processor to implement the network deployment method as described above.

[0013] In addition, to achieve the above object, the embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the network deployment method as described above.

[0014] The embodiment of the present application provides a network deployment method, an electronic device and a computer readable storage medium. In the network deployment method, first, cell dynamic data in a predetermined network is acquired; then, an average reachable channel capacity of users in the predetermined network is calculated according to the cell dynamic data; the user perception is represented by defining a new quantitative index, i.e., the average reachable channel capacity of users; then, a cell deployment strategy in the predetermined network is determined according to the average reachable channel capacity of the users, so as to deploy the predetermined network according to the cell deployment strategy; and finally, the best average user perception under the predetermined network is obtained. The embodiment of the present application measures the network user perception under different super cell configurations, and then compares and selects the super cell configuration with the highest network user perception to deploy the network. Compared with the scheme in the related art which only considers part of factors of the super cell, the embodiment of the present application considers more factors and is more consistent with the actual experience of users. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the following will briefly introduce the drawings needed to be used in the embodiments or the related art description. Obviously, the drawings in the following description only constitute a part of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0016] Figure 1 a schematic diagram of a mobile communication cellular network cell;

[0017] Figure 2 a schematic diagram of a room division coverage network cell;

[0018] Figure 3 For Figure 2 The super cell schematic diagram of the room split coverage network after the small cells are merged into super cells;

[0019] Figure 4 The cell schematic diagram of the high-speed rail coverage network;

[0020] Figure 5 For Figure 4 The super cell schematic diagram of the high-speed rail coverage network after the small cells are merged into super cells;

[0021] Figure 6 The flowchart of the network deployment method provided by an embodiment of the present application;

[0022] Figure 7 For Figure 6 The detailed flowchart of step S20;

[0023] Figure 8 The flowchart of the network deployment method provided by another embodiment of the present application;

[0024] Figure 9 The overall flowchart of the network deployment method provided by another embodiment of the present application;

[0025] Figure 10 The structural schematic diagram of the electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] In the following description, specific details are set forth, such as a particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. However, persons skilled in the art should understand that the embodiments of the present application can be implemented in other embodiments without these specific details. In other cases, well-known systems, devices, circuits, and methods have not been described in detail in order not to obscure the description of the embodiments of the present application with unnecessary detail.

[0027] It should be noted that although the logical order is shown in the flowchart, in some cases, the steps shown or described can be performed in an order different from that in the flowchart. The terms "first", "second", etc. in the specification and claims and the above-described figures are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0028] It should also be appreciated that a reference to "one embodiment" or "some embodiments" (or equivalent language) in the specification or claims of this application indicates that the particular feature or features described are included in at least one embodiment of the application, but not necessarily all embodiments. Thus, appearances of the phrases "in one embodiment" or "in some embodiments" or "in other embodiments" or "in still other embodiments" or other similar language in various places throughout this specification do not necessarily all refer to the same embodiment, and are also not necessarily inclusive of the entire scope of the application. These phrases can refer to one or more embodiments.

[0029] There is a concept of super cell in the cell of mobile communication cellular network, multiple cells are merged into a new cell, this new cell is called super cell, such as multiple continuous coverage micro cell in micro cell coverage network are merged into a super cell, multiple continuous coverage high-speed rail cell in high-speed rail coverage network are merged into a super cell, etc. Figure 1 Fig. 1 shows a schematic diagram of cell in mobile communication cellular network, Figure 2 Fig. 2 shows a schematic diagram of micro cell coverage network, Figure 3 Fig. 3 shows a schematic diagram of micro cell coverage network after multiple cells are merged into super cell, Figure 4 Fig. 4 shows a schematic diagram of high-speed rail coverage network, and Figure 5 Fig. 5 shows a schematic diagram of high-speed rail coverage network after multiple cells are merged into super cell.

[0030] The reason for merging into super cell is that it can reduce the handover caused by user moving between cells, reduce the inter-cell co-channel interference, and improve user perception. Especially in high-speed rail coverage network, the frequent handover caused by high-speed moving of users on train will have a great impact on user perception, and bring bad user experience. But the number of cells in super cell cannot be increased unlimitedly, because the capacity of super cell is the same as that of single cell before merging when space division multiplexing is not supported, and the total capacity of network is decreased after multiple cells in network are merged into super cell. Therefore, super cell is usually formed only when the total number of users in network is not large and the network load is not high, and the total network capacity can accommodate the total number of users and load at this time. If the number of users or load exceeds the capacity, the user perception will also be greatly affected, and at this time the super cell must be split into smaller super cells or restored into ordinary cells to increase the capacity of network by increasing the number of cells.

[0031] The network deployment method of the super cell of the mobile communication network in the related art is often to compare some indexes (such as the handover frequency, the interference noise, the number of users, and the resource utilization) of the cells in the network with the preset threshold to determine whether the cell needs to be merged or split. For example, when the handover frequency is higher than a certain threshold, or the handover success rate is lower than a certain threshold, or the interference noise is higher than a certain threshold, the cells are merged to form a super cell, or the super cell is further merged to form a larger super cell. When the number of users or the number of high-speed moving users is higher than a certain threshold, or the load is higher than a certain threshold, the super cell is split to become a smaller super cell or restore to a normal cell.

[0032] Therefore, the network configuration method of the super cell merging or splitting provided by the related art does not consider the indexes directly related to the user perception or quantitatively evaluate the influence on the user perception, and cannot determine or prove whether the corresponding configuration or adjustment can achieve the best user perception. The user perception is the ultimate goal that the network configuration should pursue. Like the AMC (Adaptive Modulation and Coding) technology in the adaptive processing of the communication signal, the AMC is double-nested controlled by the inner loop SINR (Signal Interference Noise Ratio) and the outer loop BLER (block error rate), and the MCS (Modulation and Coding Scheme) adaptively obtained is only the appearance or intermediate result of the adaptive processing result, and the target BLER (Block Error Rate) is the ultimate goal pursued by the AMC.

[0033] Based on this, the embodiments of the present application provide a network deployment method, an electronic device, and a computer readable storage medium. A new quantitative index, i.e., the user reachable channel capacity, is defined to represent the user perception. The cell dynamic data in the predetermined network is obtained, and then the user average reachable channel capacity in the predetermined network for reflecting the user perception is calculated. Then, according to the quantitative index, it is determined that the predetermined network should be deployed based on which cell deployment strategy to obtain the best average user perception under the predetermined network.

[0034] The network deployment method, the electronic device, and the computer readable storage medium provided by the embodiments of the present application are specifically explained by the following embodiments. First, the network deployment method in the embodiments of the present application is described.

[0035] Reference Figure 6 , Figure 6 A flowchart of a network deployment method provided by an embodiment of the present application is shown in FIG. 1. The network deployment method can be applied to network management, such as the network management of the 5G network. Figure 6As shown, the network deployment method provided in this embodiment includes steps S10 to S30.

[0036] In step S10, cell dynamic data in a predetermined network is acquired, the predetermined network including at least two continuously covered normal cells and / or super cells;

[0037] In this embodiment, the execution subject is network management, which refers to a series of management work for monitoring, configuring, troubleshooting and performance optimization of network resources. It usually includes the management of hardware devices, software systems and network services, to ensure the stable operation and efficient service of the network. The network management system can provide functions such as fault alarm, performance statistics, configuration management, security management and billing management. In this embodiment, the predetermined network is the target object of network deployment performed by the network management, and the predetermined network is a communication network composed of cells, which at least includes cells covered by base stations, and can also include super cells composed of these cells. In this embodiment, the cell dynamic data refers to indicators directly related to user perception in the predetermined network, which directly affects the quantitative evaluation of user perception. Generally, the network management can acquire the cell dynamic data from each base station in the predetermined network, or calculate part of the data.

[0038] In step S20, the user average reachable channel capacity in the predetermined network is calculated according to the cell dynamic data;

[0039] In this embodiment, a new indicator for quantifying user perception, i.e. user average reachable channel capacity, is defined on the network management, and the quantitative value can reflect the user perception of all users after weighted average in the predetermined network. Based on the average value, the network deployment can make the user perception of each user in the predetermined network basically consistent, avoiding the situation that some users have excellent experience while some users have poor experience.

[0040] In step S30, the cell deployment strategy in the predetermined network is determined according to the user average reachable channel capacity, so as to deploy the predetermined network according to the cell deployment strategy.

[0041] In the embodiment, since the input value for calculating the user average reachable channel capacity, i.e., the cell dynamic data, is a dynamic value that changes with time and cell configuration, the cell dynamic data can be acquired multiple times in the foregoing step, and the corresponding user average reachable channel capacity is calculated for each acquired cell dynamic data. In this way, by comparing the user average reachable channel capacities at different times and under different cell configurations, the highest value in the user average reachable channel capacities, i.e., the best average user perception in the data samples, can be obtained. The cell deployment strategy corresponding to the highest user average reachable channel capacity is used to redeploy the predetermined network, so that the user perceptions of the users in the redeployed predetermined network can be basically consistent.

[0042] The embodiment provides a network deployment method. A new quantitative index, i.e., user reachable channel capacity, is defined to represent user perception. Cell dynamic data in a predetermined network is acquired, and user average reachable channel capacities in the predetermined network that reflect user perception are calculated. Then, according to the quantitative index, it is determined that the predetermined network should be deployed based on which cell deployment strategy to obtain the best average user perception under the predetermined network, so that the average user experience of the users in the predetermined network is improved.

[0043] In some possible embodiments, the user average reachable channel capacity in the predetermined network includes: an ordinary cell user average reachable channel capacity, a super cell user average reachable channel capacity, and a network user average reachable channel capacity.

[0044] With reference to Figure 7 The step S20 specifically can include:

[0045] The step S21 calculates, according to the cell dynamic data, to obtain the ordinary cell user average reachable channel capacity.

[0046] The step S22 performs weighted average calculation according to the ordinary cell user average reachable channel capacities of the ordinary cells in the super cell and the cell dynamic data, to obtain the super cell user average reachable channel capacity.

[0047] The step S23 performs weighted average calculation according to the super cell user average reachable channel capacities of the super cells in the predetermined network and the cell dynamic data, to obtain the network user average reachable channel capacity.

[0048] The step S24 determines the user average reachable channel capacity in the predetermined network according to the ordinary cell user average reachable channel capacity, the super cell user average reachable channel capacity, and the network user average reachable channel capacity.

[0049] In the embodiment, the predetermined network can be composed of a plurality of contiguous coverage normal cells which are adjacent and need to be configured as super cells, such as a room coverage network in a building or a high-speed rail coverage network with a certain length; in addition, the predetermined network can also be composed of a plurality of super cells formed by the super cell configuration of the contiguous coverage normal cells; further, the predetermined network can also be a combination of the contiguous coverage normal cells and super cells, but in order to achieve the best network deployment effect, the normal cells and super cells which are not configured as super cells are generally deployed respectively, because the space division multiplexing capabilities of the two are different, and in order to maximize the space division multiplexing capability of the super cell, the deployment is the best choice.

[0050] In the embodiment, the quantification index user average reachable channel capacity defined in the above embodiment is further divided into three new indexes according to the architecture of the predetermined network, which are normal cell user average reachable channel capacity P1, super cell user average reachable channel capacity P2 and network user average reachable channel capacity P3, the units of the three new indexes are all bit / s / user, and they respectively correspond to the user perception of the normal cell, the user perception of the super cell and the user perception of the predetermined network; in this way, the network management can gradually calculate P1, P2 and P3 by obtaining the cell dynamic data, and then determine the user average reachable channel capacity in the predetermined network.

[0051] As an example, the cell dynamic data can include the number of normal cell users, the cell channel capacity, the cell switching overhead loss ratio, and the cell space division multiplexing resource ratio, and P1 can be calculated according to these cell dynamic data; P2 can be calculated by the weighted average of P1 of each normal cell in the super cell based on the number of users of each normal cell; and P3 can be calculated by the weighted average of P2 of each super cell in the network based on the number of users of each super cell.

[0052] The cell switching overhead loss ratio can be calculated by the number of cell users, the number of cell switching users, and user switching overhead loss; the cell space division multiplexing resource ratio can be calculated by the base station based on the space division multiplexing capability of the super cell, the scheduling resource optimization allocation process of each ordinary cell in the super cell, and transmitted to the network management, or calculated by the network management itself; the space division multiplexing capability of the super cell represents the maximum number of cells that can be simultaneously scheduled by the super cell, which is determined by the capability of the base station of the super cell; the space division multiplexing capability of the super cell affects the cell space division multiplexing resource ratio, and then affects P1, P2, and finally P3; the super cell configuration affects the number of cell switching users, and then affects the cell switching overhead loss ratio, and then affects P1, P2, and finally P3; the super cell configuration also affects the cell space division multiplexing resource ratio, and then affects P1, P2, and finally P3; the super cell configuration affects the number of super cell users, and then affects P2 and P3.

[0053] In addition, in the process of calculating P1 / P2 / P3 by the network management, the movement of users over time and the resulting switching will cause changes in the number of cell users and the distribution of users, affecting the channel capacity of the cell, the switching overhead loss ratio, the space division multiplexing resource ratio, and finally affecting P3; in the process of calculating P1 / P2 / P3 by the network management, in order to fully traverse the influence caused by user movement and switching, continuous calculation needs to be performed in a continuous time period, for example, 1 hour, 1 day, or 1 week; in the process of calculating P1 / P2 / P3 by the network management, the calculation period, i.e., the time interval of calculation, can be selected according to the speed of user movement, for example, for a relatively static and stable indoor coverage network, the calculation period can be set to be larger, such as 10 seconds or 1 minute, and for a high-speed rail coverage network with rapid changes in user distribution, the calculation period needs to be set to be smaller, such as 1 second.

[0054] In some possible embodiments, the above-mentioned cell dynamic data includes: the number of ordinary cell users, the cell channel capacity, the cell switching overhead loss ratio, and the cell space division multiplexing resource ratio;

[0055] The above-mentioned step S21 can specifically include:

[0056] In step S210, the product of the cell channel capacity, the cell switching overhead loss ratio, and the cell space division multiplexing resource ratio is divided by the number of ordinary cell users to obtain a quotient, which is taken as the average reachable channel capacity of the ordinary cell users.

[0057] In this embodiment, the average reachable channel capacity P1 of the ordinary cell users can be calculated in the following manner:

[0058]

[0059] Wherein, the cell space division multiplexing resource ratio can be calculated synchronously in the scheduling resource optimization distribution process of each normal cell in the super cell by the base station based on the space division multiplexing capability of the super cell, and is transmitted to the network management, or can be calculated by the network management itself;

[0060] The cell switching overhead loss ratio can be calculated in the following way:

[0061]

[0062] Wherein, the user switching overhead loss R Handover Should satisfy 0 < R Handover <1, which represents the user resource overhead loss ratio caused by switching and related measurement, interference, etc. If the user switching time length needs 200 milliseconds, and the calculation period is 1 second, R Handover = 0.2 can be set, which can be valued according to the actual situation of the predetermined network.

[0063] In some feasible embodiments, the above-mentioned cell dynamic data further includes: super cell user number, the super cell user number being the sum of the normal cell user numbers in each super cell;

[0064] The above-mentioned step S22 can specifically include:

[0065] Step S220: the quotient obtained by dividing the sum of the products of the cell user average reachable channel capacity of each normal cell in the super cell and the normal cell user number by the super cell user number is taken as the super cell user average reachable channel capacity.

[0066] In the embodiment, the super cell user average reachable channel capacity P2 can be calculated in the following way:

[0067]

[0068] Wherein: super cell user number = ∑ normal cell user number.

[0069] In some feasible embodiments, the above-mentioned cell dynamic data further includes: network user number, the network user number being the sum of the super cell user numbers in each super cell in the predetermined network;

[0070] The above-mentioned step S23 can specifically include:

[0071] Step S230: the quotient obtained by dividing the sum of the products of the super cell user average reachable channel capacity of each super cell in the predetermined network and the super cell user number by the network user number is taken as the network user average reachable channel capacity.

[0072] In this embodiment, the average reachable channel capacity P3 for network users can be calculated as follows:

[0073]

[0074] Where: Number of network users = ∑ number of supercell users.

[0075] In some feasible embodiments, the step S30 above, which involves determining the cell deployment strategy in the predetermined network based on the average reachable channel capacity of the user, may specifically include:

[0076] Step S31: Determine the cell deployment strategy table of the predetermined network based on the average reachable channel capacity of users in the predetermined network in different super cells.

[0077] Step S32: Based on the cell deployment strategy table of the predetermined network, select the cell deployment strategy corresponding to the highest average reachable channel capacity of users in the predetermined network as the cell deployment strategy in the predetermined network.

[0078] In this embodiment, the network management system will compare the average reachable channel capacity of network users under different super cell configurations in the predetermined network to obtain the comparison results; determine the highest average reachable channel capacity of network users based on the comparison results; and use the super cell configuration strategy corresponding to the highest average reachable channel capacity of network users as the cell deployment strategy in the predetermined network.

[0079] As an example, the network management system will calculate the average achievable channel capacity P3 for network users under each of the various super cell networking configuration schemes used in the predetermined network. Then, it will determine the cell deployment strategy table for the predetermined network. By comparing each P3, the system will select the largest P3max and use the super cell networking configuration scheme corresponding to P3max as the cell deployment strategy in the predetermined network, so that the predetermined network can obtain the best average user experience.

[0080] To further understand the technical solution provided in this embodiment, the following detailed calculation methods are provided for the three new indicators mentioned above:

[0081] Assuming the network is configured using the m-th supercell topology scheme. m There are N m Supercell m_n m∈[1,M], m_n∈[1,N] m ].

[0082] Supercell m_n Below is I m_nCommon Cell m_n_i m_n_i∈[1,I m_n ]。

[0083] The number of common cells participating in spatial division multiplexing at the time point t of the current user perception calculation period is

[0084] Common Cell participating in spatial division multiplexing m_n_i corresponds to a spatial division multiplexing resource ratio G_sdma m_n_i , 0≤G_sdma m_n_i ≤1.

[0085] 0 indicates that the super cell does not allocate resources to this common cell, and the common cell has no resource scheduling throughout the period, while 1 indicates that the super cell guarantees resource allocation for this common cell throughout the calculation period, and the common cell maintains resource scheduling throughout the period, so this spatial division multiplexing resource ratio can also be understood as the scheduling time ratio of spatial division multiplexing. If the common cell has no users, this G_sdma m_n_i is 0.

[0086] I SDMA is defined as the spatial division multiplexing capability of the super cell supported by the base station, indicating the maximum number of cells that can be simultaneously scheduled by the super cell. As the capability of the base station increases, this value can increase.

[0087] All common cells Cell m,n,i are discretely segmented according to the SNR (Signal Noise Ratio, abbreviated as SNR) representing the channel quality of the cell, divided into J intervals, and the division criteria of all common cells are unified. According to the Shannon theorem of channel capacity C under Gaussian white noise channel in communication theory:

[0088] C=B·log2(1+SNR) (1)

[0089] Note: The unit of channel capacity C is bit / s, i.e. bits per second, representing the maximum transmission rate of the channel.

[0090] As can be seen from formula (1), the channel capacity C of the common cell is not only related to the frequency spectrum bandwidth B of the common cell, but also related to the SNR of the common cell, and the SNR of the common cell is related to the user distribution of the common cell. Since the channel capacity of the common cell corresponds to the SNR of the common cell, the J intervals also correspond to different channel capacities.

[0091] The channel capacity corresponding to the jth interval is defined as c m_n_i_j , m_n_i_j∈[1,J]; ​

[0092] Since the division criterion of all common cells is unified, c m_n_i_j j , j∈[1, J];

[0093] Define K m_n_i_j as the number of users in the jth interval.

[0094] Define the channel capacity of Cell m_n_i as C m_n_i ,

[0095]

[0096] The number of users of Cell m_n_i is K m_n_i ,

[0097]

[0098] Define the cell handover overhead loss ratio F_Handover m_n_i of Cell m_n_i , which represents the conversion ratio of the cell channel capacity after the overhead loss caused by handover and related measurement, interference, etc.,

[0099] 0<F_Handover m_n_i <1

[0100] F_Handover m_n_i is related to the number of cell handover users, the higher the proportion of handover users in the entire common cell user number, the greater the overhead loss of the cell channel capacity, and the smaller F_Handover m_n_i .

[0101] Define R Handover as the user handover overhead, which represents the overhead loss ratio of user resources caused by handover and related measurement, interference, etc.,

[0102] 0<R Handover <1

[0103] Suppose the user handover duration needs 200 milliseconds, and the calculation period is 1 second, then R Handover = 0.2 can be set, and the value can be determined according to the actual situation of the network.

[0104]

[0105] wherein K m_n_i and K_Handover m_n_i are the number of common cell users and the number of cell handover users, respectively.

[0106] ​Overhead losses can be reduced through optimizations such as handover signaling, which can shorten handover time and thus reduce R. Handover Increase F_Handover m_n_i .

[0107] Define Cell m_n_i The average achievable channel capacity for ordinary cell users is P1 m_n_i

[0108]

[0109] Define Supercell m_n The average achievable channel capacity for users in a supercell is P2 m_n This is not the P1 level of any ordinary residential community within a super-community. m_n_i It is not a simple average, but a weighted average based on the number of users in each ordinary community, which can more accurately reflect the true overall user perception.

[0110]

[0111] Supercell m_n The number of users is K m_n

[0112]

[0113] Define a network m The average achievable channel capacity for network users is P3. m This is not the P2 of each super residential community. m_n It is not a simple average, but a weighted average based on the number of users in each supercell, which can more accurately reflect the true overall user perception.

[0114]

[0115] P3 is obtained by calculating the time points t of each calculation cycle within the calculation time period. m (t) Perform time-based statistical averaging to obtain

[0116]

[0117] choose The maximum corresponding super cell configuration is the optimal networking configuration for the super cell.

[0118]

[0119] The embodiment provides a network deployment method. By comprehensively considering multiple factors related to a super cell, three indexes that can measure user perception are designed and a related quantitative calculation model is designed. Based on the model, by combining an optimization strategy for resource allocation of a cell based on space division multiplexing capability and a number of cell users in the embodiment, three indexes under different super cell configurations are calculated by using network related data, so that network user perception under different super cell configurations is measured. By comparison, a super cell configuration with the highest network user perception is selected as a cell deployment strategy of a predetermined network, and the predetermined network is deployed based on the cell deployment strategy. Compared with a super cell networking configuration method based on a number of users or a number of high-speed mobile users, load / load (such as resource utilization), switching frequency or switching success rate, interference noise and other factors in the related art, since only part of factors of the super cell are considered, the factors are not considered comprehensively, and the influence on user perception is not directly considered or quantitatively considered, whether the super cell configuration obtained by the method is the best configuration of user perception cannot be determined or proved, and therefore, the method cannot achieve the effect of the embodiment. Therefore, the network deployment method provided in the embodiment is considered comprehensively and is more suitable for actual experience of users.

[0120] In addition, the embodiment of the application further provides a network deployment method, which is described with reference to Figure 8 , Figure 8 A flowchart of a network deployment method provided by another embodiment of the application is shown in FIG. 3. The network deployment method can be applied to network infrastructure, such as Figure 8 The network deployment method provided by the embodiment includes steps S01 to S03.

[0121] In step S01, a space division multiplexing capability supported by a current super cell and a number of cells under a current super cell configuration are obtained.

[0122] In step S02, a space division multiplexing resource proportion of each cell in the current super cell is determined according to the space division multiplexing capability and the number of cells. The space division multiplexing resource proportion belongs to one kind of cell dynamic data. A network management device in the network infrastructure is configured to determine an average reachable channel capacity of a user in the predetermined network according to the cell dynamic data, and determine a cell deployment strategy of the predetermined network according to the average reachable channel capacity of the user.

[0123] It should be noted that in the present embodiment, the execution subject can be a network management or a base station. The base station is a key component in a mobile communication network and is mainly used for transmitting and receiving wireless signals. In a mobile communication network, a base station covers a certain geographical area, so that mobile devices such as mobile phones in the area can access the network for communication. A base station is usually composed of one or more antennas, radio frequency units, base station controllers, and the like, can communicate wirelessly with mobile devices, and is connected to a core network through a wired connection. The relationship between the network management and the base station is that the network management system is responsible for monitoring and managing the state of the base station, including configuration settings, performance indicators (such as signal strength, call quality, etc.), fault detection and recovery. When the base station has any problem, the network management system will receive an alarm and can remotely diagnose and repair the fault. At the same time, the network management can also adjust the parameters of the base station according to the network demand to optimize the network performance and user experience. In short, the network management is the "brain" of the entire communication network, while the base station is the "hand and foot" of wireless communication, and the two work together to ensure the normal operation of the communication network.

[0124] In the present embodiment, in the case where the execution subject is a base station, the spatial division multiplexing capability of the current super cell covered by the base station is obtained, the spatial division multiplexing resource proportion of each cell in the super cell is calculated synchronously in the scheduling resource optimization allocation process, and the spatial division multiplexing resource proportion is transmitted to the network management, so that the network management can obtain complete cell dynamic data and calculate the average user reachable channel capacity based on the cell dynamic data, and then determine the cell deployment strategy in the predetermined network according to the average user reachable channel capacity. In the case where the execution subject is the network management, the spatial division multiplexing resource proportion can be calculated directly on the network management, and the process of transmitting the spatial division multiplexing resource proportion from the base station to the network management can be omitted, but at the same time, the base station needs to allocate the scheduling resources of each cell in the super cell according to this scheduling resource optimization allocation method.

[0125] As an example, in the present embodiment, the base station first determines the spatial division multiplexing capability M supported by the current super cell, then determines the number N of cells under the current super cell configuration, and then determines the spatial division multiplexing resource proportion of each cell according to the size relationship between M and N.

[0126] In some possible embodiments, the above step S02 can specifically include:

[0127] Step S021, in the case where the spatial division multiplexing capability is not less than the number of cells, setting the spatial division multiplexing resource proportion of each cell in the current super cell to the maximum value.

[0128] Step S022, in the case where the spatial division multiplexing capability is less than the number of cells, obtaining the number of effective cells under the current super cell configuration, and determining the spatial division multiplexing resource proportion of each cell in the current super cell according to the spatial division multiplexing capability and the number of effective cells.

[0129] In the embodiment, in the case that the spatial division multiplexing capability M is greater than or equal to the cell number N, the spatial division multiplexing resource proportion of each cell is equal to 1 (the value range of the spatial division multiplexing resource proportion is 0-1, and 1 represents the maximum value); in the case that the spatial division multiplexing capability M is less than the cell number N, the number K of cells with the user number greater than 0 (i.e. the effective cell number) in the current super cell configuration needs to be further determined, and then the spatial division multiplexing resource proportion of each cell is determined according to the size relationship between M and K.

[0130] In some feasible embodiments, the step of determining the spatial division multiplexing resource proportion of each cell in the current super cell according to the spatial division multiplexing capability and the effective cell number in step S022 can specifically include:

[0131] In step S0221, in the case that the spatial division multiplexing capability is not less than the effective cell number, the spatial division multiplexing resource proportion of each cell in the current super cell is set to the maximum value.

[0132] In step S0222, in the case that the spatial division multiplexing capability is less than the effective cell number, the spatial division multiplexing rate of each cell is calculated based on the user number of each cell in the current super cell, and the spatial division multiplexing resource proportion of each cell in the current super cell is determined according to the spatial division multiplexing rate of each cell.

[0133] In the embodiment, in the case that the spatial division multiplexing capability M is greater than or equal to the effective cell number K, the spatial division multiplexing resource proportion of each cell is equal to 1; in the case that the spatial division multiplexing capability M is less than the effective cell number K, the spatial division multiplexing rate of each cell needs to be calculated based on the user number of each cell, and the spatial division multiplexing resource proportion of each cell in the current super cell is determined according to the specific situation of the spatial division multiplexing rate of each cell.

[0134] In some feasible embodiments, the step of determining the spatial division multiplexing resource proportion of each cell in the current super cell according to the spatial division multiplexing rate of each cell in step S0222 can specifically include:

[0135] In step S02221, in the case that the spatial division multiplexing rate of each cell is less than a standard threshold, the spatial division multiplexing rate of each cell is taken as the spatial division multiplexing resource proportion of each cell.

[0136] In step S02222, in the case that the spatial division multiplexing rate of each cell is not less than a standard threshold, the number of cells meeting the standard whose spatial division multiplexing rate is not less than the standard threshold is recorded, and the spatial division multiplexing resource proportion of each cell meeting the standard is set to the maximum value.

[0137] The difference obtained by subtracting the number of cells meeting the standard from the spatial division multiplexing capability is taken as the updated spatial division multiplexing capability.

[0138] The difference between the number of effective cells and the number of cells meeting the standard is taken as the updated number of effective cells.

[0139] If the updated spatial division multiplexing capability is a positive integer, return to the step of calculating the spatial division multiplexing rate of each cell based on the number of users in each cell in the current super cell.

[0140] In this embodiment, the range of the spatial division multiplexing rate can be 0-2, and the standard threshold can be 1 (the range can also be 0-2.5, and the standard threshold can also be 1.5, both of which can be flexibly adjusted according to actual conditions, and this embodiment does not limit this). Therefore, the number of cells meeting the standard whose spatial division multiplexing rate is greater than or equal to 1 can be recorded as L. If L is not greater than 0, it means that there is no cell meeting the standard, and the spatial division multiplexing resource proportion of each cell = the spatial division multiplexing rate. If L is greater than 0, the spatial division multiplexing resource proportion of the L cells = 1, and M = M-L and K = K-L are updated. Then, it is judged whether the updated spatial division multiplexing capability M is greater than 0. If yes, return to step S0222; if no, end the current scheduling resource optimization allocation process.

[0141] As an example, the overall process of each of the above embodiments can be combined with Figure 9 understood, Figure 9 the processes and each judgment branch described in the above embodiments are basically the same as those described in the above embodiments, and therefore will not be described in detail here.

[0142] In order to further understand the technical solutions provided by the present embodiment, in combination with the specific calculation method of the three new indexes in the network deployment method executed by the network management, it is known that there are cells participating in spatial division multiplexing at the time point t of the current calculation period, and The spatial division multiplexing resource proportion G_sdma m_n_i of the m_n_i cells is obtained by the base station based on the super cell spatial division multiplexing capability and the super cell user number, and the scheduling resource optimization allocation process of each cell in the super cell is obtained by the process flow, and the specific calculation method is described as follows:

[0143] Step 1: For the super cell Supercell m_n , I m_n cells and spatial division multiplexing capability I SDMA , if I m_n ≤I sDMA , or I m_n >I sDMA , but the number of cells with user number greater than 0 I 、 m_n does not exceed I SDMA , then the G_sdma m_n_i= 1, i.e. all time period participates in space division multiplexing, the user number of 0 cell will not actually be scheduled because there is no user. Otherwise, the space division multiplexing rate R of each cell is defined and calculated according to the following formula m_n_i :

[0144]

[0145] Step 2: If there are x ≥ 1 cells satisfying R m_n_i ≥ 1, go to Step 3, otherwise go to Step 4;

[0146] Step 3: The space division multiplexing resource proportion G_sdma m_n_i of the x cells is taken as 1;

[0147] G_sdma m_n_i = 1 (12)

[0148] Then update according to the following formula (13) and (14):

[0149] I SDMA = I SDMA - x (13)

[0150] I 、 m_n = I 、 m_n - x (14)

[0151] If I SDMA > 0, return to Step 1, otherwise, end the process.

[0152] Step 4: The space division multiplexing resource proportion G_sdma m_n_i of the remaining cells is taken as R m_n_i , as shown in formula (15), indicating that these cells will be partially time space division multiplexing scheduling according to the proportion of R m_n_i , and the partial time is the proportion of R m_n_i of the calculation time period.

[0153] G_sdma m_n_i = R m_n_i (15)

[0154] From the above process, as long as the user number of the cell is greater than 0, the cell will participate in space division multiplexing, only the proportion of resources (scheduling time) is different, which guarantees that the user in the cell has a sense.

[0155] As an example, if the super cell is composed of 6 cells, the supported space division multiplexing capability I SDMA=4, the user numbers of the 6 cells are 180, 50, 0, 20, 30, 120, since the user number of the 3rd cell is 0, no scheduling occurs, the space division multiplexing resource ratio is 0, and no calculation is needed. The space division multiplexing ratios calculated according to formula (11) are 1.8, 0.5, 0.2, 0.3, 1.2 for the first round of calculation of the remaining 5 cells, the 1st and 6th cells are first determined as the cells participating in the space division multiplexing scheduling all the time, and the space division multiplexing resource ratios of the cells are set to 1 according to formula (12), then, after the update of formula (13) and (14) is completed, the remaining 3 cells enter the second round of calculation, the space division multiplexing ratios calculated according to formula (11) are 1, 0.4, 0.6, the 2nd cell is also determined as the cell participating in the space division multiplexing scheduling all the time, and the space division multiplexing resource ratio is set to 1, after the update of formula (13) and (14) is completed, the remaining 2 cells enter the third round of calculation, the space division multiplexing ratios calculated according to formula (11) are 0.4, 0.6, then the space division multiplexing resource ratios of the 4th and 5th cells are set to 0.4 and 0.6 according to formula (15), indicating that the 4th and 5th cells will participate in the space division multiplexing scheduling at a time ratio of 40% and 60% respectively. Thus, the calculation is completed, and the space division multiplexing resource ratios G_sdma m_n_i of all the cells are confirmed.

[0156] The embodiment provides a network deployment method, on a base station, based on the space division multiplexing capability of a super cell, in combination with the user numbers of the ordinary cells in the super cell, the ordinary cells in the super cell are subjected to optimized allocation of scheduling resources, so that the space division multiplexing capability of the super cell is used to the maximum extent, and a basis is provided for reasonable network configuration of network management.

[0157] In addition, for the network deployment method provided in the above embodiment, the embodiment further provides the following several examples for different space division multiplexing capabilities of the super cell, which are all based on the high-speed rail coverage network scenario, and the network user average reachable channel capacity (which can measure and represent the average perception of the network user) under different super cell configurations is calculated under various combinations of high-speed rail user load, super cell space division multiplexing capability and switching overhead loss by using the quantization model provided in the embodiment, and the super cell configuration corresponding to the best perception is obtained.

[0158] The following are the settings of some parameters for the relevant calculation.

[0159] #The start time of the calculation time period is 0 (seconds), the end time is 3600 (seconds), and the calculation time period is T=3600 (seconds).

[0160] #The calculation time period is 1 (second).

[0161] Departure position (two-way departure at both ends of the line): [0, 10000] (m), length of the line: D = 10000 (m).

[0162] Number of tracks: X = [1, 2, 4, 6, 8, 10] (pieces), usually at least one track in each direction.

[0163] Cell coverage: C1 = 250 (m), number of cells: K1 = D / C1 = 40 (pieces).

[0164] Number of cells in a super cell: M = [1, 2, 4, 8, 10, 20, 40] (pieces), when M = 1, the super cell is equal to the ordinary cell.

[0165] Super cell coverage: C2 = [250, 500, 1000, 2000, 2500, 5000, 10000] (m).

[0166] Number of super cells: K2 = D / C2 = [40, 20, 10, 5, 4, 2, 1] (pieces).

[0167] Number of carriages: N = [8, 16] (pieces), carriage length: L1 = 25 (m), train length: L2 = L1*N = [200, 400] (m).

[0168] The minimum unit length of the high-speed rail line grid is 25 (m), which is consistent with the carriage length.

[0169] Number of passengers: P = [5, 100] (pieces), i.e. [minimum, maximum].

[0170] Train speed: V = [55, 70, 85, 100] (m / s), corresponding to approximately [200, 250, 300, 350] (km / h) speed.

[0171] Departure interval: I = [200, 300, 400, 500, 600] (s), corresponding to approximately [3, 5, 7, 8, 9, 10] minute departure interval.

[0172] Tables 1 to 5 below are the calculation results, the values in the table represent the normalized score (maximum value is 1) of the average reachable channel capacity P3 of network users based on the same standard, the higher the value, the better the user perception. According to the calculation results, user load and switching overhead loss have little effect on the selection of the best super cell configuration, and the space division multiplexing capability of the super cell is the decisive factor. In the case of space division multiplexing capability I SDMA ≤4, the best super cell configuration for user perception is basically: super cell = I SDMA cell, but when ISDMA >4 After, the user perception best super cell configuration is more than I SDMA cell, such as I SDMA = 6, the user perception best super cell = 20 cells.

[0173] In addition, by the calculation results can also be obtained more cost-effective combination of spatial division multiplexing capacity and super cell configuration, avoid blindly pursue the strongest spatial division multiplexing capacity but the user perception of the increase in the magnitude is already small. For example, with the increase of user load, high load to increase the spatial division multiplexing capacity, the proportion of the user perception of the increase in the magnitude is smaller. In general, the combination of spatial division multiplexing capacity I SDMA = 2, super cell = 2 cells, the comprehensive cost-effective is higher, is a good choice.

[0174] Table 1. Calculation results 1 spatial division multiplexing capacity = 1

[0175]

[0176]

[0177]

[0178] Table 2. Calculation results 2 spatial division multiplexing capacity = 2

[0179]

[0180]

[0181]

[0182] Table 3. Calculation results 3 spatial division multiplexing capacity = 4

[0183]

[0184]

[0185]

[0186] Table 4. Calculation results 4 spatial division multiplexing capacity = 6

[0187]

[0188]

[0189]

[0190] Table 5. Calculation results 5 spatial division multiplexing capacity = 8

[0191]

[0192]

[0193]

[0194] Furthermore, there is a possible alternative to the aforementioned network deployment method: the spatial multiplexing capability supported by the base station is unlimited, meaning the number of cells in the supercell configuration determines the amount of spatial multiplexing supported. However, this alternative places high demands on the base station's spatial multiplexing-related algorithms and scheduling capabilities, resulting in high implementation costs and low cost-effectiveness. For example, in this embodiment, a 6x spatial multiplexing capability can support a supercell composed of 20 cells. If each doubling of the base station's spatial multiplexing capability requires an additional resource scheduling processing board, then this embodiment only requires 6 processing boards. If the aforementioned alternative were adopted, 20 processing boards would be needed, which would double the costs of network construction, operation, and maintenance (such as energy consumption).

[0195] Furthermore, this application also provides an electronic device. The network management system used to implement the network deployment method in the above embodiments can be implemented by software and / or hardware and integrated into the electronic device. The electronic device can be a terminal device capable of communicating with the network side, such as a PC (personal computer), mobile phone, laptop, or tablet computer.

[0196] Reference Figure 10 , Figure 10 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of this application. Figure 10 As shown, the electronic device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0197] Those skilled in the art can understand that Figure 10 The structure shown in the figure does not constitute a limitation on the electronic device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements. As shown in the figure, Figure 10 As shown in the figure, the memory 1005 as a storage medium can include an operating system, a data storage module, a network communication module, a user interface module and a computer program.

[0198] In the electronic device shown in the figure, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the embodiment can be arranged in the electronic device, and the electronic device calls the computer program stored in the memory 1005 through the processor 1001, and executes the network deployment method applied to the electronic device provided by any of the above embodiments. Figure 10 The electronic device provided in the embodiment belongs to the same technical concept as the network deployment method applied to the electronic device provided in the above embodiments, and the technical details not described in detail in the embodiment can be referred to the above any embodiment, and the embodiment has the same beneficial effects as the network deployment method.

[0199] In addition, the embodiment of the present application also provides a computer readable storage medium, which can be a non-volatile computer readable storage medium, and a computer program is stored on the computer readable storage medium. The computer program is executed by the processor to implement the network deployment method provided by any of the above embodiments.

[0200]

[0201] ​As will be appreciated by one of ordinary skill in the art, all or some steps, systems of the above-disclosed methods can be implemented as software, firmware, hardware, or any suitable combination thereof. Some or all of the 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 as hardware, or as an integrated circuit, such as an application- specific integrated circuit. Such software can be distributed on computer readable media, which can comprise computer storage media (or non-transitory media), and communication media (or transitory media). As is well known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media include, 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 tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Further, as is well known to those of ordinary skill 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 includes any information delivery media.

[0202] The above is the specific description of some embodiments of the present application, but the embodiments of the present application are not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or replacements without departing from the spirit of the embodiments of the present application. These equivalent modifications or replacements are all included in the scope defined by the claims of the embodiments of the present application.

Claims

1. A network deployment method, characterized in that, The network deployment method is applied to network management and includes: Acquire dynamic cell data in a predetermined network, wherein the predetermined network includes at least two continuously covered ordinary cells and / or super cells; The average reachable channel capacity of users in the predetermined network is calculated based on the dynamic data of the cell. The cell deployment strategy in the predetermined network is determined based on the average reachable channel capacity of users in the predetermined network, so as to deploy the predetermined network according to the cell deployment strategy.

2. The network deployment method as described in claim 1, characterized in that, The average reachable channel capacity of users in the predetermined network includes: average reachable channel capacity of ordinary cell users, average reachable channel capacity of super cell users, and average reachable channel capacity of network users; the step of calculating the average reachable channel capacity of users in the predetermined network based on the cell dynamic data includes: The average achievable channel capacity for users in the ordinary cell is calculated based on the cell dynamic data. The average reachable channel capacity of users in the super cell is calculated by weighting the average reachable channel capacity of users in each ordinary cell within the super cell and the cell dynamic data. The average reachable channel capacity of network users is obtained by weighted averaging the average reachable channel capacity of each supercell in the predetermined network and the cell dynamic data. The average reachable channel capacity of users in the predetermined network is determined based on the average reachable channel capacity of users in the ordinary cell, the average reachable channel capacity of users in the super cell, and the average reachable channel capacity of users in the network.

3. The network deployment method as described in claim 2, characterized in that, The cell dynamic data includes: the number of users in a regular cell, cell channel capacity, cell handover overhead loss ratio, and cell spatial multiplexing resource ratio. The step of calculating the average achievable channel capacity for users in a regular cell based on the cell dynamic data includes: The product of the cell channel capacity, the cell handover overhead loss ratio, and the cell spatial multiplexing resource ratio, divided by the number of ordinary cell users, is used as the average achievable channel capacity for the ordinary cell users.

4. The network deployment method as described in claim 3, characterized in that, The cell dynamic data also includes: the number of supercell users, which is the sum of the number of users in each of the ordinary cells within a supercell; The step of calculating the average reachable channel capacity of the supercell users by weighting the average reachable channel capacity of ordinary cell users in each ordinary cell within the supercell and the cell dynamic data includes: The average reachable channel capacity of the supercell user is obtained by summing the products of the average reachable channel capacity of the ordinary cell users in each of the supercells and the number of ordinary cell users, and then dividing the sum by the number of supercell users.

5. The network deployment method as described in claim 4, characterized in that, The cell dynamic data also includes: the number of network users, which is the sum of the number of users in each of the super cells within the predetermined network; The step of calculating the average reachable channel capacity of network users by weighting the average reachable channel capacity of each supercell in the predetermined network and the cell dynamic data includes: The average reachable channel capacity of network users is obtained by summing the products of the average reachable channel capacity of each supercell in the predetermined network and the number of supercell users, and then dividing the sum by the number of network users.

6. The network deployment method as described in claim 1, characterized in that, The step of determining the cell deployment strategy in the predetermined network based on the average reachable channel capacity of users in the predetermined network includes: Based on the average reachable channel capacity of users in different supercells of the predetermined network, determine the cell deployment strategy table of the predetermined network; Based on the cell deployment strategy table of the predetermined network, the cell deployment strategy corresponding to the highest average reachable channel capacity of users in the predetermined network is selected as the cell deployment strategy in the predetermined network.

7. A network deployment method, characterized in that, The network deployment method is applied to network infrastructure, including: Obtain the spatial multiplexing capability supported by the current super cell and the number of cells under the current super cell configuration; The spatial multiplexing resource ratio of each cell in the current supercell is determined based on the spatial multiplexing capability and the number of cells; wherein, the spatial multiplexing resource ratio is a type of cell dynamic data, and the network management system in the network infrastructure is used to determine the average reachable channel capacity of users in the predetermined network based on the cell dynamic data, and to determine the cell deployment strategy in the predetermined network based on the average reachable channel capacity of users.

8. The network deployment method as described in claim 7, characterized in that, The step of determining the spatial multiplexing resource ratio of each cell in the current supercell based on the spatial multiplexing capability and the number of cells includes: When the spatial multiplexing capacity is not less than the number of cells, the spatial multiplexing resource ratio of each cell in the current super cell is set to the maximum value. When the spatial multiplexing capacity is less than the number of cells, the number of effective cells under the current super cell configuration is obtained, and the spatial multiplexing resource ratio of each cell in the current super cell is determined according to the spatial multiplexing capacity and the number of effective cells.

9. The network deployment method as described in claim 8, characterized in that, The step of determining the spatial multiplexing resource ratio of each cell in the current supercell based on the spatial multiplexing capability and the number of effective cells includes: When the spatial multiplexing capacity is not less than the number of effective cells, the spatial multiplexing resource ratio of each cell in the current super cell is set to the maximum value. When the spatial multiplexing capacity is less than the number of effective cells, the spatial multiplexing rate of each cell is calculated based on the number of users in each cell of the current super cell, and the spatial multiplexing resource ratio of each cell in the current super cell is determined according to the spatial multiplexing rate of each cell.

10. The network deployment method as described in claim 9, characterized in that, The step of determining the space division reuse resource ratio of each cell in the current supercell based on the space division reuse rate of each cell includes: If the spatial multiplexing rate of each cell is less than the standard threshold, the spatial multiplexing rate of each cell will be used as the spatial multiplexing resource ratio of each cell. If the space division multiplexing rate of each cell is not less than the standard threshold, record the number of qualified cells whose space division multiplexing rate meets the preset requirements, and set the space division multiplexing resource ratio of each qualified cell to the maximum value. The difference between the space division multiplexing capacity and the number of qualified units is used as the updated space division multiplexing capacity. The difference between the number of valid cells and the number of cells that meet the standard is used as the updated number of valid cells; If the updated spatial multiplexing capability is a positive integer, return to the step of calculating the spatial multiplexing rate of each cell based on the number of users in each cell of the current supercell.

11. An electronic device, characterized in that, The electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the network deployment method as described in any one of claims 1 to 10.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the network deployment method as described in any one of claims 1 to 10.

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