Network deployment method, electronic device, and computer-readable storage medium

Abstract

Embodiments of the present application relate to the technical field of mobile communications, and disclosed are a network deployment method, an electronic device, and a computer-readable storage medium. The network deployment method comprises: acquiring cell dynamic data in a predetermined network (S10); calculating an average achievable channel capacity for users in the predetermined network on the basis of the cell dynamic data (S20); and determining a cell deployment strategy for the predetermined network on the basis of the average achievable channel capacity for the users, so as to deploy the predetermined network on the basis of the cell deployment strategy (S30).

Description

Network deployment method, electronic device and computer readable storage medium

[0001] Cross-reference to Related Applications

[0002] The present application is based on and claims priority to Chinese Patent Application No. 202410738815.3, filed on June 7, 2024, the entire contents of which are incorporated herein by reference. TECHNICAL FIELD

[0003] Embodiments of the present application relate to the field of mobile communication technology, and in particular to a network deployment method, an electronic device and a computer readable storage medium. BACKGROUND

[0004] In related technologies, the network deployment method of a super cell of a mobile communication network is often to compare certain indexes (such as handover frequency, interference noise, number of users, resource utilization) of a cell in the network with a preset threshold to determine whether cell merging or splitting is needed. 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 restore to a normal cell.

[0005] However, this network deployment method cannot determine or prove whether the corresponding configuration can achieve the best user perception. SUMMARY

[0006] 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.

[0007] Embodiments of the present application provide a network deployment method, which is applied to a network management, and includes: acquiring cell dynamic data in a predetermined network, the predetermined network including at least two continuously covered normal cells and / or super cells; calculating user average reachable channel capacity in the predetermined network according to the cell dynamic data; 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.

[0008] Further, the embodiment of the present application further provides a network deployment method, which is applied to network infrastructure, comprising: acquiring spatial division multiplexing capability supported by a current super cell and a cell number under a configuration of the current super cell; determining spatial division multiplexing resource proportion of each cell in the current super cell according to the spatial division multiplexing capability and the cell number; wherein the spatial division multiplexing resource proportion belongs to one kind of cell dynamic data, and a network management is used to determine average reachable channel capacity of a user in a predetermined network according to the cell dynamic data, and determine a cell deployment strategy in the predetermined network according to the average reachable channel capacity of the user.

[0009] Further, 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.

[0010] Further, 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. BRIEF DESCRIPTION OF DRAWINGS

[0011] 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 embodiment or the related art description. Obviously, the drawings in the following description only constitute a part of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0012] Fig. 1 is a schematic diagram of a cell of a mobile communication cellular network;

[0013] Fig. 2 is a schematic diagram of a cell of a room division coverage network;

[0014] Fig. 3 is a schematic diagram of a super cell of a room division coverage network after the cell in Fig. 2 is merged into a super cell;

[0015] Fig. 4 is a schematic diagram of a cell of a high-speed rail coverage network;

[0016] Fig. 5 is a schematic diagram of a super cell of a high-speed rail coverage network after the cell in Fig. 4 is merged into a super cell;

[0017] Fig. 6 is a flowchart of a network deployment method provided by an embodiment of the present application;

[0018] Fig. 7 is a detailed flowchart of step S20 in Fig. 6;

[0019] Fig. 8 is a flowchart of a network deployment method provided by another embodiment of the present application;

[0020] FIG. 9 is a schematic diagram of an overall flow of a network deployment method according to another embodiment of the present application;

[0021] FIG. 10 is a schematic diagram of a structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular architectures, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, circuits, and

[0023] It is noted that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be performed in an order different from that in the flowcharts. The terms "first", "second", etc. in the specification and claims and the above-described drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0024] It should also be understood that, in the specification of the embodiments of the present application, the reference "one embodiment" or "some embodiments" etc. means that the specific features, structures or characteristics described in connection with the embodiment are included in one or more embodiments of the present application. Therefore, the statements "in one embodiment", "in some embodiments", "in other some embodiments", "in yet some embodiments" etc. appearing in different places in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "include", "contain", "have" and their variants mean "including but not limited to", unless otherwise specifically emphasized.

[0025] There is a concept of super cell in a cell of a mobile communication cellular network, a plurality of cells are merged into a new cell, and the new cell is called a super cell. For example, a plurality of continuous coverage microcell cells in a microcell coverage network are merged into a super cell, a plurality of continuous coverage high-speed rail cells in a high-speed rail coverage network are merged into a super cell, etc. As shown in FIG. 1 is a schematic diagram of a cell of a mobile communication cellular network, FIG. 2 and FIG. 3 respectively show a schematic diagram of a cell of a microcell coverage network and a schematic diagram of a super cell of a microcell coverage network after the cells are merged into a super cell, and FIG. 4 and FIG. 5 respectively show a schematic diagram of a cell of a high-speed rail coverage network and a schematic diagram of a super cell of a high-speed rail coverage network after the cells are merged into a super cell.

[0026] The reason for merging into a super cell is that the handover caused by user moving between cells can be reduced, the co-frequency interference between cells can be reduced, and the user perception can be improved. Especially in high-speed rail coverage network, the frequent handover caused by high-speed moving of users on the train will have a great impact on user perception and bring bad user experience. However, the number of cells in a super cell cannot be increased unlimitedly, because the capacity of a super cell is the same as that of a single cell without supporting space division multiplexing. When multiple cells in the network are merged to form a super cell, the total capacity of the network is reduced. Therefore, a super cell is usually formed only when the total number of users in the network is not large and the network load is not high, and the total network capacity can accommodate the total users and load at this time. If the number of users or the load exceeds the capacity, the user perception will also be greatly affected, and the super cell needs to be split into smaller super cells or restored to normal cells to increase the capacity of the network by increasing the number of cells.

[0027] In related technologies, the network deployment method of a super cell of a mobile communication network is usually to compare some indicators (such as handover frequency, interference noise, number of users, and resource utilization) of a cell in the network with a 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 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 moving users is higher than a certain threshold, or the load is higher than a certain threshold, the super cell is split into smaller super cells or restored to normal cells.

[0028] As can be seen, the network configuration method of super cell merging or splitting given by related technologies does not consider indicators directly related to user perception, or quantitatively evaluate the impact on user perception, and cannot determine or prove whether the corresponding configuration or adjustment can achieve the best user perception. User perception is the ultimate goal of network configuration. Like the AMC (Adaptive Modulation and Coding) technology in adaptive processing of communication signals, AMC is controlled by double nested inner loop SINR (Signal Interference Noise Ratio) and outer loop BLER (block error rate), and the MCS (Modulation and Coding Scheme) obtained by adaptation is only a manifestation or intermediate result of the adaptive processing result, and the target BLER (Block Error Rate) is the ultimate goal pursued by AMC.

[0029] Based on this, the embodiment of the present application provides a network deployment method, an electronic device and a computer readable storage medium, by defining a new quantitative index, i.e., user reachable channel capacity, to represent user perception, by obtaining cell dynamic data in a predetermined network, and then calculating the user average reachable channel capacity in the predetermined network for reflecting user perception, and then determining based on the quantitative index which cell deployment strategy should be used to deploy the predetermined network to obtain the best average user perception in the predetermined network.

[0030] The main purpose of the embodiment 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. The network deployment method, the electronic device and the computer readable storage medium provided by the embodiment of the present application are described as follows. First, the network deployment method in the embodiment of the present application is described.

[0031] Referring to FIG. 6, FIG. 6 is a flowchart of a network deployment method provided by an embodiment of the present application. The network deployment method can be applied to network management. As shown in FIG. 6, the network deployment method provided by the embodiment of the present application includes steps S10 to S30.

[0032] In step S10, cell dynamic data in a predetermined network is obtained. The predetermined network includes at least two continuously covered normal cells and / or super cells.

[0033] In the embodiment, the execution subject is network management (Network Management). Network management refers to a series of management work of 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.

[0034] In the embodiment, the predetermined network is the target object of network deployment performed by the network management. 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 the embodiment, the cell dynamic data refers to indexes directly related to user perception in the predetermined network, which directly affect the quantitative evaluation of user perception. Generally, the network management can obtain the cell dynamic data from each base station in the predetermined network, or can calculate part of the data by the network management.

[0035] In step S20, the user average reachable channel capacity in the predetermined network is calculated based on the cell dynamic data.

[0036] In the embodiment, a new index for quantifying user perception is defined on the network management, i.e., user average reachable channel capacity, which can reflect the user perception after weighted average of all users in the predetermined network. Network deployment based on the average value 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.

[0037] 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.

[0038] 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 steps, 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 can be obtained, which represents the best average user perception in each data sample. The cell deployment strategy corresponding to the highest user average reachable channel capacity is used to redeploy the predetermined network, so that the user perception of each user in the redeployed predetermined network can be basically consistent.

[0039] The embodiment provides a network deployment method. A new quantification 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 capacity for reflecting user perception in the predetermined network is calculated. Then, the quantification index is used to determine the cell deployment strategy based on which the predetermined network should be deployed to obtain the best average user perception, thereby improving the average user experience of users in the predetermined network.

[0040] In some possible embodiments, the user average reachable channel capacity in the predetermined network includes: ordinary cell user average reachable channel capacity, super cell user average reachable channel capacity, and network user average reachable channel capacity.

[0041] Referring to FIG. 7, the step S20 can include:

[0042] In step S21, the ordinary cell user average reachable channel capacity is calculated according to the cell dynamic data.

[0043] In step S22, the super cell user average reachable channel capacity is calculated by weighted average of the ordinary cell user average reachable channel capacities of each ordinary cell in the super cell and the cell dynamic data.

[0044] Step S23, the network user average reachable channel capacity is obtained by weighted average calculation according to the super cell user average reachable channel capacity of each super cell in the predetermined network and the cell dynamic data;

[0045] Step S24, the user average reachable channel capacity in the predetermined network is determined 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.

[0046] In the embodiment, the predetermined network can be composed of a plurality of continuous coverage ordinary cells which 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 continuous coverage ordinary cells; further, the predetermined network can also be a combination of the continuous coverage ordinary cells and super cells, but in order to achieve the best network deployment effect, the independent ordinary 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.

[0047] In the embodiment, the quantification index user average reachable channel capacity defined in the above embodiment is further subdivided into three new indexes according to the architecture of the predetermined network, which are respectively the ordinary cell user average reachable channel capacity P1, the super cell user average reachable channel capacity P2 and the 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 ordinary 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.

[0048] As an example, the cell dynamic data can include the number of ordinary cell users, the cell channel capacity, the cell handover 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 obtained by weighted average calculation of the P1 of each ordinary cell in the super cell based on the number of users of each ordinary cell; P3 is obtained by weighted average calculation of the P2 of each super cell in the network based on the number of users of each super cell.

[0049] The cell switching overhead loss ratio can be calculated by the cell user number, the cell switching user number, and the 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 normal 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 cell switching user number, 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 super cell user number, and then affects P2 and P3.

[0050] 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, the calculation needs to be performed continuously 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 the 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 rapidly changing user distribution, the calculation period needs to be set to be smaller, such as 1 second.

[0051] In some possible embodiments, the above-mentioned cell dynamic data includes: the normal cell user number, the cell channel capacity, the cell switching overhead loss ratio, and the cell space division multiplexing resource ratio.

[0052] The above-mentioned step S21 can include:

[0053] 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 normal cell user number to obtain a quotient, which is taken as the average reachable channel capacity of the normal cell user.

[0054] In this embodiment, the average reachable channel capacity P1 of the normal cell user can be calculated in the following way:

[0055] 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, and is obtained by the scheduling resource optimization distribution process of each normal cell in the super cell, and is transmitted to the network management, or is calculated by the network management itself.

[0056] The cell switching overhead loss ratio can be calculated in the following way:

[0057] The user switching overhead loss R Handover 0 < R < 1, which represents the user resource overhead loss ratio caused by switching and related measurement, interference, etc. If the user switching time is 200 milliseconds, and the calculation period is 1 second, R Handover <1, which represents the user resource overhead loss ratio caused by switching and related measurement, interference, etc. If the user switching time is 200 milliseconds, and the calculation period is 1 second, R Handover = 0.2, which can be determined according to the actual situation of the predetermined network.

[0058] In some possible embodiments, the above-mentioned cell dynamic data further includes: the super cell user number, which is the sum of the normal cell user numbers in each super cell;

[0059] The above-mentioned step S22 can include:

[0060] 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.

[0061] In this embodiment, the super cell user average reachable channel capacity P2 can be calculated in the following way:

[0062] The super cell user number = ∑ normal cell user number.

[0063] In some possible embodiments, the above-mentioned cell dynamic data further includes: the network user number, which is the sum of the super cell user numbers in each super cell in the predetermined network;

[0064] The above-mentioned step S23 can include:

[0065] 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.

[0066] In this embodiment, the network user average reachable channel capacity P3 can be calculated in the following way:

[0067] Wherein: the number of network users = ∑ the number of supercell users.

[0068] In some possible embodiments, the step of determining the cell deployment strategy in the predetermined network according to the average reachable channel capacity of users in the step S30 can include:

[0069] In step S31, the cell deployment strategy table of the predetermined network is determined according to the average reachable channel capacity of users in the predetermined network corresponding to different supercell configurations.

[0070] In step S32, 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 based on the cell deployment strategy table of the predetermined network.

[0071] In this embodiment, the network management compares the average reachable channel capacities of users in the network under different supercell configurations of the predetermined network, obtains a comparison result, determines the highest average reachable channel capacity of users in the network according to the comparison result, and takes the supercell configuration strategy corresponding to the highest average reachable channel capacity of users in the network as the cell deployment strategy in the predetermined network.

[0072] As an example, the network management calculates the average reachable channel capacities P3 of users in the network under different supercell configuration schemes of the predetermined network, determines the cell deployment strategy table of the predetermined network, selects the maximum P3max from the P3, and takes the supercell configuration scheme corresponding to the P3max as the cell deployment strategy in the predetermined network, so that the predetermined network can obtain the best average user perception.

[0073] In order to further understand the technical solutions provided in this embodiment, the following calculation method is provided for the above three new indexes for detailed description:

[0074] Supercell m_n under the mth supercell configuration scheme of the network Network m_n m has N m supercells Supercell m_n , m∈[1,M] and m_n∈[1,N m ].

[0075] Supercell m_n has I m_n ordinary cells Cell m_n_i , m_n_i∈[1,I m_n ].

[0076] The number of normal cells participating in spatial division multiplexing at the time point t of the current user perception calculation period has

[0077] The normal cell 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.

[0078] 0 indicates that the super cell does not allocate resources to this normal cell, and the normal cell has no resource scheduling throughout the period, while 1 indicates that the super cell guarantees resource allocation for this normal cell throughout the calculation period, and the normal 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 normal cell has no users, this G_sdma m_n_i is 0.

[0079] Define I SDMA as the spatial division multiplexing capability of the super cell supported by the base station, indicating the maximum number of cells that the super cell can simultaneously support scheduling, which can be increased as the capability of the base station is enhanced.

[0080] All normal 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 normal cells are unified. According to the Shannon theorem of channel capacity C under Gaussian white noise channel in communication theory:

[0081] C=B·log2(1+SNR) (1)

[0082] Note: The unit of channel capacity C is bit / s, i.e. bits per second, representing the maximum transmission rate of the channel.

[0083] As can be seen from formula (1), the channel capacity C of the normal cell is not only related to the frequency spectrum bandwidth B of the normal cell, but also related to the SNR of the normal cell, and the SNR of the normal cell is related to the user distribution of the normal cell. Since the channel capacity of the normal cell corresponds to the SNR of the normal cell, the J intervals also correspond to different channel capacities.

[0084] Define the channel capacity corresponding to the jth interval as c m_n_i_j , m_n_i_j∈[1,J];

[0085] Since the division criteria of all normal cells are unified, c m_n_i_j =c j ​, j e [1, J] ;

[0086] Define K m_n_i_j as the number of users in the jth interval.

[0087] Define Cell m_n_i 's channel capacity as C m_n_i ,

[0088] The number of users in Cell m_n_i is K m_n_i ,

[0089] Define Cell m_n_i 's cell handover overhead loss ratio F_Handover m_n_i , which represents the scaling ratio of the cell channel capacity after the overhead loss caused by handover and related measurement, interference, etc.

[0090] 0 < F_Handover m_n_i < 1

[0091] F_Handover m_n_i is related to the number of users for handover. The higher the proportion of the number of users for handover in the total number of users in the ordinary cell, the greater the overhead loss of the cell channel capacity, and the smaller F_Handover m_n_i .

[0092] Define R Handover as the user handover overhead loss, which represents the overhead loss ratio of user resources caused by handover and related measurement, interference, etc.

[0093] 0 < R Handover < 1

[0094] Suppose the user handover duration needs 200 milliseconds, and the calculation period is 1 second, then R Handover = 0.2 can be set, which can be valued according to the actual situation of the network.

[0095] where K m_n_i and K_Handover m_n_i are the number of users in the ordinary cell and the number of users for cell handover, respectively.

[0096] The overhead loss can be reduced through optimization such as handover signaling optimization to reduce handover duration, thereby reducing R Handover and increasing F_Handover m_n_i .

[0097] Define Cell m_n_i 's average reachable channel capacity of the ordinary cell users as P1m_n_i

[0098] Definition of Supercell m_n The average reachable channel capacity of the users of the supercell is P2 m_n Here, it is not a simple average of the P1 m_n_i of each normal cell under the supercell, but a weighted average based on the number of users of each normal cell, which can more accurately reflect the real overall user perception.

[0099] Supercell m_n The number of users of the supercell is K m_n

[0100] Definition of Network m The average reachable channel capacity of the users of the network is P3 m Here, it is not a simple average of the P2 m_n of each supercell, but a weighted average based on the number of users of each supercell, which can more accurately reflect the real overall user perception.

[0101] By time-aggregating and statistically averaging the P3 m (t) obtained at the time point t of each calculation period in the calculation period, the P3

[0102] Select The maximum corresponding supercell configuration as the best network configuration of the supercell.

[0103] 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, network related data is used to calculate the three indexes under different super cell configurations, 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 obtained super cell configuration is the best configuration of user perception cannot be determined or proved, and therefore the effect of the embodiment cannot be achieved. Therefore, the network deployment method provided in the embodiment is considered comprehensively and is more suitable for actual experience of users.

[0104] In addition, the embodiment of the application further provides a network deployment method. Referring to FIG. 8, FIG. 8 is a flowchart of a network deployment method provided by another embodiment of the application. The network deployment method can be applied to network infrastructure. As shown in FIG. 8, the network deployment method provided by the embodiment includes steps S01 to S03.

[0105] 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.

[0106] 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 used 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] In some possible embodiments, the above step S02 can include:

[0111] 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.

[0112] 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.

[0113] 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 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.

[0114] 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 include:

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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 include:

[0119] 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.

[0120] In step S02222, in the case that the spatial division multiplexing rate of each cell is not less than the 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] As an example, the overall process of each of the above embodiments can be understood in conjunction with FIG. 9. The process and each judgment branch recorded in FIG. 9 are basically the same as the content recorded in the above embodiments, and therefore will not be described in detail here.

[0126] In order to further understand the technical solutions provided in this embodiment, in combination with the calculation method of the three new indexes in the network deployment method executed by the network management, it can be known that the number of cells participating in spatial division multiplexing at the time point t of the current calculation period is , and the number of cells whose user number is greater than 0 is , and the spatial division multiplexing resource proportion G_sdma m_n_i of the

[0127] Step 1: For the super cell Supercell m_n , the following I m_n cells and the spatial division multiplexing capability I SDMA are obtained. m_n If I SDMA ≤ I m_n , or I SDMA >I m_n , but the number of cells whose user number is greater than 0 I` SDMA does not exceed I 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 :

[0128] Step 2: If there are x ≥ 1 cells satisfying R m_n_i ≥ 1, go to Step 3, otherwise go to Step 4;

[0129] Step 3: The space division multiplexing resource proportion G_sdma m_n_i of the x cells is taken as 1;

[0130] G_sdma m_n_i = 1 (12)

[0131] Then update according to the following formula (13) and (14):

[0132] I SDMA = I SDMA -x (13)

[0133] I` m_n = I` m_n -x (14)

[0134] If I SDMA > 0, return to Step 1, otherwise, end the process.

[0135] 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), which means 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.

[0136] G_sdma m_n_i = R m_n_i (15)

[0137] 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.

[0138] As an example, if the super cell is composed of 6 cells, the supported spatial division multiplexing capability I SDMA = 4, the number of users of the 6 cells are 180, 50, 0, 20, 30, 120 respectively, since the number of users of the 3rd cell is 0, no scheduling occurs, the spatial division multiplexing resource ratio is 0, and no calculation is needed. The remaining 5 cells perform the first round of calculation, and the spatial division multiplexing rates calculated according to formula (11) are 1.8, 0.5, 0.2, 0.3, 1.2 respectively. The 1st and 6th cells are first determined as the cells that participate in spatial division multiplexing scheduling throughout the entire process, and the spatial division multiplexing resource ratios thereof are set to 1 according to formula (12). Then, after the update of formulas (13) and (14) is completed, the remaining 3 cells enter the second round of calculation, and the spatial division multiplexing rates calculated according to formula (11) are 1, 0.4, 0.6 respectively. The 2nd cell is also determined as the cell that participates in spatial division multiplexing scheduling throughout the entire process, and the spatial division multiplexing resource ratio thereof is set to 1. After the update of formulas (13) and (14) is completed, the remaining 2 cells enter the third round of calculation, and the spatial division multiplexing rates calculated according to formula (11) are 0.4, 0.6 respectively. Then, according to formula (15), the spatial division multiplexing resource ratios of the 4th and 5th cells are set to 0.4 and 0.6 respectively, indicating that they will participate in spatial division multiplexing scheduling at a time ratio of 40% and 60% respectively. At this point, the calculation is completed, and the spatial division multiplexing resource ratios G_sdma m_n_i of all the cells are confirmed.

[0139] The embodiment provides a network deployment method. On a base station, based on the spatial division multiplexing capability of a super cell, in combination with the number of users of each ordinary cell in the super cell, the optimization allocation of scheduling resources of each ordinary cell in the super cell is performed, so that the spatial division multiplexing capability of the super cell is used to the greatest extent, and a basis for reasonable network configuration of network management is provided.

[0140] In addition, for the network deployment method provided in the above embodiment, the embodiment further provides the following several examples for different spatial division multiplexing capabilities of the super cell. They are all based on the high-speed rail coverage network scenario, and use the quantization model provided in the embodiment to calculate the average reachable channel capacity of the network users under different super cell configurations under the combination of various high-speed rail user loads, spatial division multiplexing capabilities of the super cell, and switching overhead losses, so as to obtain the super cell configuration corresponding to the best perception.

[0141] The following are the settings of some parameters related to the calculation.

[0142] # The start time of the calculation time period is 0 (seconds), the end time is 3600 (seconds), and the length of the calculation time period is T = 3600 (seconds).

[0143] # The calculation time period is 1 (second).

[0144] # Departure position (two-way departure at both ends of the line): [0, 10000] (meters), line length: D = 10000 (meters).

[0145] # Track of the line: X = [1, 2, 4, 6, 8, 10] (pieces), usually at least one track in each direction.

[0146] # Cell coverage: C1 = 250 (meters), number of cells: K1 = D / C1 = 40 (pieces).

[0147] # 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.

[0148] # Super cell coverage: C2 = [250, 500, 1000, 2000, 2500, 5000, 10000] (meters).

[0149] # Number of super cells: K2 = D / C2 = [40, 20, 10, 5, 4, 2, 1] (pieces).

[0150] # Number of carriages: N = [8, 16] (pieces), carriage length: L1 = 25 (meters), train length: L2 = L1*N = [200, 400] (meters).

[0151] # The minimum unit length of high-speed rail line gridding is 25 (meters), which is consistent with the carriage length.

[0152] # Number of people in the carriage: P = [5, 100] (pieces), i.e. [minimum, maximum].

[0153] # Train speed: V = [55, 70, 85, 100] (m / s), corresponding to approximately [200, 250, 300, 350] (km / h) speed.

[0154] # Departure interval: I = [200, 300, 400, 500, 600] (seconds), corresponding to approximately [3, 5, 7, 8, 9, 10] minute departure interval.

[0155] 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 only the super cell space division multiplexing capability is the decisive factor. In the case of super cell space division multiplexing capability I SDMA ≤4, the best super cell configuration for user perception is basically: super cell = ISDMA cell, but when I SDMA >4, the user perception is best for super cell configuration of more than I SDMA cells, such as I SDMA = 6, the user perception is best for super cell = 20 cells.

[0156] In addition, the calculation results also show that there is a combination of higher cost-effective spatial division multiplexing capability and super cell configuration, which avoids the situation of blindly pursuing the strongest spatial division multiplexing capability but the user perception improvement rate is already very small. For example, as the user load increases, increasing the spatial division multiplexing capability under high load, the proportion of the improvement rate of user perception is smaller. In summary, the combination of spatial division multiplexing capability I SDMA = 2 and super cell = 2 cells has higher comprehensive cost-effectiveness and is a good choice.

[0157] Table 1. Calculation result 1 spatial division multiplexing capability = 1

[0158] Table 2. Calculation result 2 spatial division multiplexing capability = 2

[0159] Table 3. Calculation result 3 spatial division multiplexing capability = 4

[0160] Table 4. Calculation result 4 spatial division multiplexing capability = 6

[0161] Table 5. Calculation result 5 spatial division multiplexing capability = 8

[0162] In addition, the above network deployment method has a possible alternative, that is, the spatial division multiplexing capability supported by the base station is not limited, that is, the super cell configuration supports as many times of spatial division multiplexing as the number of cells. However, this alternative requires high spatial division multiplexing related algorithm and scheduling processing capability of the base station, has high implementation cost, and has low cost-effectiveness. For example, in the embodiment, the 6 times spatial division multiplexing capability can support the super cell formed by 20 cells. If the base station needs to increase one block of resource scheduling processing board for each increase of 1 times of spatial division multiplexing capability, then the embodiment only needs 6 blocks of processing boards. If the above alternative is adopted, 20 blocks of processing boards are needed, which doubles the cost of network construction, operation and maintenance (such as energy consumption).

[0163] In addition, the embodiment of the present application further provides an electronic device. The network management in the above embodiment for implementing the network deployment method can be realized by software and / or hardware and integrated in the electronic device. The electronic device can be a PC (personal computer), a mobile phone, a notebook computer, a tablet computer or the like, which can communicate with the network side.

[0164] Referring to FIG. 10, FIG. 10 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application. As shown in FIG. 10, the electronic device can include a processor 1001, for example, 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 realize the connection and communication among the components. The user interface 1003 can include a display, an input unit such as a keyboard, and can further include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a WIreless-FIdelity (WI-FI) interface). The memory 1005 can be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), for example, a disk memory. The memory 1005 can also be a storage device independent of the processor 1001.

[0165] Those skilled in the art can understand that the structure shown in FIG. 10 does not constitute a limitation on the electronic device, and can include more or fewer components than those shown, or combine certain components, or different component arrangements. As shown in FIG. 10, 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.

[0166] In the electronic device shown in FIG. 10, 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. 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 in any of the above embodiments.

[0167] The electronic device provided in the embodiment and the network deployment method applied to the electronic device provided in the above embodiments belong to the same technical concept, and the technical details not described in detail in the embodiment can be seen from any of the above embodiments, and the embodiment has the same beneficial effects as the network deployment method.

[0168] In addition, the embodiment of the present application further 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 a processor to implement the network deployment method provided in any of the above embodiments.

[0169] 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, the average user reachable channel capacity 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 user reachable channel capacity. Then, the cell deployment strategy in the predetermined network is determined according to the average user reachable channel capacity, so as to deploy the predetermined network according to the cell deployment strategy. Thus, the best average user perception under the predetermined network is obtained. In the embodiment of the present application, the network user perception under different super cell configurations is measured, and then the super cell configuration with the highest network user perception is selected to deploy the network. Compared with the scheme in the related art which only considers the super cell factors, the embodiment of the present application considers more comprehensive factors and is more consistent with the actual experience of users.

[0170] 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.

[0171] 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 applied to network management, comprising: acquiring cell dynamic data in a predetermined network, the predetermined network comprising at least two continuously covered normal cells and / or super cells; calculating user average reachable channel capacity in the predetermined network according to the cell dynamic data; determining 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.

2. The network deployment method of claim 1, wherein, The user average reachable channel capacity in the predetermined network comprises normal cell user average reachable channel capacity, super cell user average reachable channel capacity and network user average reachable channel capacity; the step of calculating the user average reachable channel capacity in the predetermined network according to the cell dynamic data comprises: calculating the normal cell user average reachable channel capacity according to the cell dynamic data; calculating the super cell user average reachable channel capacity according to the normal cell user average reachable channel capacity of each normal cell in the super cell and the cell dynamic data; calculating the network user average reachable channel capacity according to the super cell user average reachable channel capacity of each super cell in the predetermined network and the cell dynamic data; determining the user average reachable channel capacity in the predetermined network according to the normal cell user average reachable channel capacity, the super cell user average reachable channel capacity and the network user average reachable channel capacity.

3. The network deployment method of claim 2, wherein, The cell dynamic data comprises normal cell user number, cell channel capacity, cell handover overhead loss ratio and cell space division multiplexing resource ratio; The step of calculating the normal cell user average reachable channel capacity according to the cell dynamic data comprises: dividing the product of the cell channel capacity, the cell handover overhead loss ratio and the cell space division multiplexing resource ratio by the normal cell user number to obtain the quotient as the normal cell user average reachable channel capacity.

4. The network deployment method of claim 3, wherein, The cell dynamic data further comprises super cell user number, the super cell user number being the sum of the normal cell user number in each super cell; The step of calculating the super cell user average reachable channel capacity according to the normal cell user average reachable channel capacity of each normal cell in the super cell and the cell dynamic data comprises: adding the product of the cell user average reachable channel capacity of each normal cell in the super cell and the normal cell user number to obtain the sum, and dividing the sum by the super cell user number to obtain the quotient as the super cell user average reachable channel capacity.

5. The network deployment method of claim 4, wherein, The cell dynamic data further comprises network user number, the network user number being the sum of the super cell user number in the predetermined network; The step of calculating the network user average reachable channel capacity by weighted average according to the super cell user average reachable channel capacity of each super cell in the predetermined network and the cell dynamic data comprises: The product of the super cell user average reachable channel capacity of each super cell in the predetermined network and the super cell user number is accumulated to obtain a sum, and the sum is divided by the network user number to obtain a quotient, which is the network user average reachable channel capacity.

6. The network deployment method of claim 1, wherein, The step of determining the cell deployment strategy in the predetermined network according to the user average reachable channel capacity in the predetermined network comprises: According to the user average reachable channel capacity in the predetermined network under different super cell configurations, a cell deployment strategy table of the predetermined network is determined; Based on the cell deployment strategy table of the predetermined network, the cell deployment strategy corresponding to the highest user average reachable channel capacity in the predetermined network is selected as the cell deployment strategy in the predetermined network.

7. A network deployment method applied to a network infrastructure, comprising: obtaining the spatial division multiplexing capability supported by a current super cell and the number of cells under the current super cell configuration; 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 cells; wherein the spatial division multiplexing resource proportion belongs to one kind of cell dynamic data, and a network management in the network infrastructure is used to determine the user average reachable channel capacity in a predetermined network according to the cell dynamic data, and determine the cell deployment strategy in the predetermined network according to the user average reachable channel capacity.

8. The network deployment method of claim 7, wherein, 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 number of cells comprises: In the case that the spatial division multiplexing capability is not less than the number of cells, the spatial division multiplexing resource proportion of each cell in the current super cell is set to the maximum value; In the case that the spatial division multiplexing capability is less than the number of cells, the effective cell number under the current super cell configuration is obtained, and the spatial division multiplexing resource proportion of each cell in the current super cell is determined according to the spatial division multiplexing capability and the effective cell number.

9. The network deployment method of claim 8, wherein, 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 comprises: 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; 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.

10. The network deployment method of claim 9, wherein, 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 comprises: in a case where the spatial division multiplexing rate of each of the cells is less than a standard threshold value, taking the spatial division multiplexing rate of each of the cells as the spatial division multiplexing resource proportion of each of the cells; in a case where the spatial division multiplexing rate of each of the cells is not less than a standard threshold value, recording a number of cells that meet a preset requirement according to the spatial division multiplexing rate, and setting the spatial division multiplexing resource proportion of each of the cells that meets the preset requirement as a maximum value; taking a difference between the spatial division multiplexing capability and the number of cells that meet the preset requirement as an updated spatial division multiplexing capability; taking a difference between the number of effective cells and the number of cells that meet the preset requirement as an updated number of effective cells; in a case where the updated spatial division multiplexing capability is a positive integer, returning to perform the step of calculating the spatial division multiplexing rate of each of the cells based on the number of users in each of the cells in the current super cell.

11. An electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being executed by the processor to implement the network deployment method according to any one of claims 1 to 10.

12. A computer readable storage medium, the computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the network deployment method according to any one of claims 1 to 10.

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