Wireless network planning method, apparatus, device, medium, and product

Abstract

The application provides a wireless network planning method, device, equipment, medium and product, and belongs to the technical field of wireless communication. The method comprises the following steps: obtaining a first subset of users to be selected; performing chord distance calculation based on a first channel matrix and a second channel matrix to obtain a first distance set corresponding to each of a plurality of target users; performing chord distance calculation based on a third channel matrix and a fourth channel matrix to obtain a second distance set corresponding to each of the plurality of target users; determining a service user combination of each target user based on the first distance set and the second distance set of the target user; and performing wireless network analysis based on the plurality of service user combinations to obtain a wireless network planning result. The wireless network planning method provided by the application reduces the interference caused by inter-system co-frequency interference and inter-system cross-layer interference in wireless network planning, comprehensively reflects the real network, provides an actual theoretical basis for wireless network planning, and thus improves the accuracy of wireless network planning.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication, and in particular to a wireless network planning method, device, equipment, medium and product. BACKGROUND

[0002] While the deployment of the 4th generation mobile communication (4G) network is in full swing, the new generation of more efficient and intelligent 5th generation mobile communication (5G) has entered the stage of large-scale deployment. However, the construction and coverage of 5G network have not yet been completely popularized, so in a long period of time, 4G and 5G networks will coexist for a long time to ensure the stability and connectivity of the network. Due to the influence of base station hardware device support rate and terminal support rate, the frequency shifting operation of the whole network is difficult to implement, so serious inter-system same frequency interference is generated. In addition, in addition to the need for macro base stations to provide basic coverage, various micro base stations are also needed to strengthen the coverage. Micro base stations and macro base stations together form a multi-level coverage heterogeneous network, which will produce serious inter-system cross-layer interference.

[0003] Based on this, in the era of rapid development of 5G network and long-term coexistence of 4G network, the 4 / 5G collaborative optimization considering inter-system same frequency interference and inter-system cross-layer interference needs to be carried out. The existing network coverage and capacity analysis method cannot combine the current network status, and it is difficult to guide the wireless network planning and construction by simply simulating the coverage through device parameters, resulting in that the network quality cannot meet the expectation. SUMMARY

[0004] The present application provides a wireless network planning method, device, equipment, medium and product to solve the problem of incomplete network coverage and capacity analysis in the prior art.

[0005] In a first aspect, the present application provides a wireless network planning method, comprising:

[0006] Obtaining a first subset of users to be selected in the coverage range of a first 5G micro base station; the service type applied by the users in the first subset of users to be selected is enhanced mobile broadband service;

[0007] Based on the first channel matrix and the second channel matrix, the chord distance is calculated to obtain a first distance set corresponding to each of the target users; the first channel matrix is the interference channel matrix of the first 5G macro base station to the target users in the first subset of users to be selected; the second channel matrix is the interference channel matrix of the first 5G macro base station to other users; the other users are the users in the first subset of users to be selected except the target users;

[0008] performing chord distance calculation based on the third channel matrix and the fourth channel matrix, to obtain a second distance set corresponding to each target user; the third channel matrix is a useful channel matrix of the first 5G micro base station to the target user; the fourth channel matrix is an interference channel matrix of the 4G macro base station to the other user;

[0009] determining a service user combination of each target user based on the first distance set and the second distance set of the target user;

[0010] performing wireless network analysis based on the service user combinations to obtain a wireless network planning result.

[0011] In one embodiment, the first distance set includes a plurality of first distances; the second distance set includes a plurality of second distances; when determining the service user combination of each target user based on the first distance set and the second distance set of the target user, the following steps are performed for each target user:

[0012] performing convolution based on the first distance and the second distance corresponding to the target user and each other user, to obtain a convolution result between the target user and the corresponding other user;

[0013] determining a plurality of users corresponding to the maximum convolution result in each convolution result as the service user combination of the target user; the plurality of users corresponding to the maximum convolution result include the target user and at least one other user.

[0014] In one embodiment, the wireless network analysis based on the service user combinations to obtain a wireless network planning result includes:

[0015] obtaining a user average income value of each user in each service user combination and a wireless communication system energy consumption of each user; the wireless communication system energy consumption includes an energy consumption of the first 5G macro base station and an energy consumption of the first 5G micro base station;

[0016] performing operation income calculation based on the user average income value and the wireless communication system energy consumption to obtain an operation income value of each service user combination;

[0017] determining a service user combination corresponding to the maximum operation income value as an optimal service user combination;

[0018] performing wireless network analysis based on the optimal service user combination to obtain a wireless network planning result.

[0019] In one embodiment, the wireless network planning result includes a first target capacity prediction result; the wireless network analysis based on the optimal service user combination to obtain a wireless network planning result includes:

[0020] If the optimal service user combination includes at least one macro base station service user served by the first 5G macro base station and at least one micro base station service user served by the first 5G micro base station, perform 5G macro base station capacity calculation based on each macro base station service user to obtain a first capacity, and perform 5G micro base station capacity calculation based on each micro base station service user to obtain a second capacity;

[0021] Sum the first capacity and the second capacity to obtain a total capacity of the wireless communication system;

[0022] Update based on the total capacity of the wireless communication system to obtain a first target capacity prediction result.

[0023] In one embodiment, the updating based on the total capacity of the wireless communication system to obtain a first target capacity prediction result comprises:

[0024] Determine a first remaining degree of freedom of the first 5G macro base station and a second remaining degree of freedom of the first 5G micro base station; the first remaining degree of freedom is the number of users that the idle resources of the first 5G macro base station can carry;

[0025] If the first remaining degree of freedom or the second remaining degree of freedom is greater than zero, update the remaining users in the first to-be-selected user subset except the optimal service user combination to the first to-be-selected user subset, and iteratively perform the step of calculating the chord distance of the first channel matrix with each of the plurality of second channel matrices until the first remaining degree of freedom and the second remaining degree of freedom are both equal to zero, to obtain a first target capacity prediction result.

[0026] In one embodiment, the wireless network planning result includes a target coverage prediction result; the target coverage prediction result includes a macro base station coverage prediction result and a micro base station coverage prediction result; and the wireless network analysis based on a plurality of service user combinations to obtain a wireless network planning result further comprises:

[0027] Obtain first hardware device parameters of the first 5G macro base station and second hardware device parameters of the first 5G micro base station;

[0028] Determine a first coverage capability of the first 5G macro base station based on the first hardware device parameters;

[0029] Determine a second coverage capability of the first 5G micro base station based on the second hardware device parameters;

[0030] Determine a macro base station coverage prediction result of the first 5G macro base station based on the distance of each user in the optimal service user combination to the first 5G macro base station;

[0031] Determine a micro base station coverage prediction result of the first 5G micro base station based on distances of users in the optimal service user combination to the first 5G micro base station.

[0032] In an embodiment, the wireless network planning method further comprises:

[0033] Obtain a second to-be-selected user subset in a coverage range of a second 5G micro base station; a service type applied by a user in the second to-be-selected user subset is an ultra-reliable and low-latency communication service;

[0034] Determine a first user based on a user order of the second to-be-selected user subset;

[0035] Obtain first position information of the first user, second position information of a second 5G macro base station, and third position information of the second 5G micro base station;

[0036] Determine a target base station with the shortest distance to the first user based on the first position information, the second position information, and the third position information;

[0037] Perform target base station capacity calculation based on the first user to obtain a third capacity;

[0038] Determine a second target capacity prediction result based on the third capacity.

[0039] In an embodiment, the determining of the second target capacity prediction result based on the third capacity comprises:

[0040] Determine a third residual degree of freedom of the second 5G macro base station and a fourth residual degree of freedom of the second 5G micro base station;

[0041] If the third residual degree of freedom or the fourth residual degree of freedom is greater than zero, update the remaining users in the second to-be-selected user subset except the first user as a second to-be-selected user subset, and iteratively perform the step of determining the first user based on the user order of the second to-be-selected user subset until the third residual degree of freedom and the fourth residual degree of freedom are both equal to zero, to obtain a preset number of third capacities;

[0042] Sum the preset number of third capacities to obtain the second target capacity prediction result.

[0043] In a second aspect, the present application further provides a wireless network planning device, comprising:

[0044] An obtaining module is configured to obtain a first to-be-selected user subset in a coverage range of a first 5G micro base station; a service type applied by a user in the first to-be-selected user subset is an enhanced mobile broadband service;

[0045] The first distance calculation module is used to perform chordal distance calculation based on the first channel matrix and the second channel matrix to obtain a first distance set corresponding to multiple target users respectively; the first channel matrix is ​​the interference channel matrix of the first 5G macro base station to the target users in the first subset of users to be selected; the second matrix is ​​the interference channel matrix of the first 5G macro base station to other users; the other users are users in the first subset of users to be selected other than the target users.

[0046] The second distance calculation module is used to perform chordal distance calculation based on the third channel matrix and the fourth channel matrix to obtain a second distance set corresponding to multiple target users respectively; the third channel matrix is ​​the useful channel matrix of the first 5G micro base station for the target users; the fourth matrix is ​​the interference channel matrix of the 4G macro base station for the other users;

[0047] The determination module is used to determine the service user combination for each target user based on the first distance set and the second distance set.

[0048] The wireless network analysis module is used to perform wireless network analysis based on multiple service user combinations to obtain wireless network planning results.

[0049] Thirdly, the present invention provides an apparatus comprising an electronic device, the electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of any of the above-described wireless network planning methods.

[0050] Fourthly, the present invention also provides a medium comprising a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-described wireless network planning methods.

[0051] Fifthly, the present invention also provides a product comprising a computer program product, the computer program product comprising a computer program, the computer program being able to be stored on a non-transitory computer-readable storage medium, and the computer program, when executed by the processor, implementing the steps of any of the above-described wireless network planning methods.

[0052] The wireless network planning method, apparatus, device, medium, and product provided by this invention, in the scenario of enhanced mobile broadband services, comprehensively considers the co-channel interference between different systems, represented by the 4G macro base station and the first 5G macro base station, and the cross-layer interference within the same system, represented by the first 5G macro base station and the first 5G micro base station. It calculates the chordal distance between channel matrices and further selects users for service based on the calculated first and second distances, obtaining multiple service user combinations. This achieves the optimal solution under the mutual influence of coverage, capacity, and interference, thereby reducing the interference caused by co-channel interference between different systems and cross-layer interference within the same system in wireless network planning. Furthermore, based on multiple service user combinations, it performs wireless network analysis to obtain wireless network planning results, comprehensively reflecting the real network situation and providing a practical theoretical basis for wireless network planning, thus improving the accuracy of wireless network planning. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0054] Figure 1 This is one of the flowcharts of the wireless network planning method provided by the present invention;

[0055] Figure 2 This is the architecture of the wireless network planning method provided by the present invention;

[0056] Figure 3 This invention provides a wireless communication system for the Massive MIMO scenario.

[0057] Figure 4 This is a flowchart of the overall wireless network planning scheme provided by the present invention;

[0058] Figure 5 This is the second flowchart of the wireless network planning method provided by the present invention;

[0059] Figure 6 This is a schematic diagram of the wireless network planning device provided by the present invention;

[0060] Figure 7 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0061] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the scope of protection of the present application.

[0062] The terms "first", "second" and the like in the present application are used to distinguish similar objects, and are not used to describe a particular order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than that illustrated or described herein.

[0063] The embodiments of the present application will be described below with reference to the drawings. Figures 1-7 The wireless network planning method, device, equipment, medium and product provided by the present application are described.

[0064] It should be noted that the wireless network planning method provided by the embodiments of the present application is realized based on a wireless network planning device. The wireless network planning method comprehensively considers the service characteristics of high rate, low latency and large capacity, and distinguishes different data services according to the historical behavior of users, i.e. enhanced mobile broadband service (EMBB), ultra-reliable low latency communication service (URLLC) and massive machine type communication service (MMTC), so as to perform wireless network planning according to different service scenarios. Different users have different needs, so the requirements for wireless network transmission rate are also different. In the three typical service scenarios of 5G, the EMBB service scenario requires a rate of 20Gbps, the URLLC service scenario requires a rate as low as 1ms, and the MMTC service scenario requires a million connections per square kilometer. Therefore, in different service scenarios, the target users are different, and the base stations providing wireless communication services are also different. Among them, the MMTC service is applied to special scenarios such as Internet of Things, which is not considered in the embodiments of the present application, and only the scenarios of EMBB service and URLLC service are considered for wireless network planning. Therefore, the embodiments of the present application take the wireless network planning device as an example to describe the wireless network planning method.

[0065] The following is the wireless network planning in the EMBB service scenario, combined with Figure 1 , Figure 1 is one of the flowcharts of the wireless network planning method provided by the present application.

[0066] As Figure 1 shown, the wireless network planning method provided by the present application includes but is not limited to the following steps:

[0067] Step 101: Obtain a first subset of users to be selected in the coverage range of a first 5G micro base station;

[0068] Step 102: Calculate the chord distance based on the first channel matrix and the second channel matrix to obtain a first distance set corresponding to each of the target users;

[0069] Step 103: Calculate the chord distance based on the third channel matrix and the fourth channel matrix to obtain a second distance set corresponding to each of the target users;

[0070] Step 104: Based on the first distance set and the second distance set of each target user, determine the service user combination of the corresponding target user;

[0071] Step 105: Perform wireless network analysis based on the plurality of service user combinations to obtain a wireless network planning result.

[0072] It should be noted that coverage, capacity and interference are three decisive factors affecting the quality of wireless network, and they influence and restrict each other. Starting from the interference level, taking eliminating inter-system same-frequency interference (such as D-band of 4G network interfering with 5G network service users) and inter-system cross-layer interference (such as 5G macro base station interfering with 5G micro base station service users) as the starting point, a correction chord distance user selection algorithm is proposed. Based on the hardware capability of the base station equipment, the optimal service user combination is selected by combining the user selection algorithm, and the coverage range of the base station is further confirmed; at the same time, the system capacity is accurately predicted by combining the historical behavior data of the users, and the current network capacity is collected for iterative verification, which provides a theoretical basis for the planning work and lays a good foundation for 4 / 5G network collaborative optimization. Figure 2 As Figure 2 shown, the wireless network planning method provided by the present application includes but is not limited to the following steps:

[0073] With the rapid development of 5G network, wide-area coverage and hotspot supplement are carried out at the same time, and a practical way is needed to guide the planning and deployment. The long-term coexistence of 4G network, the increasingly serious interference problem, and the increasing importance of 4 / 5G network collaborative optimization work. According to the following four points, the present application provides a wireless network planning method:

[0074] 1. Considering the inter-system co-frequency interference represented by 4G macro base station to 5G macro base station and the cross-layer interference represented by 5G macro base station to 5G micro base station, a 4 / 5G wireless communication system in a massive multiple input multiple output (Massive MIMO) scenario is established, the correction chord distance user selection algorithm is adopted to eliminate the inter-system interference and cross-layer interference to the maximum extent by using the spatial degrees of freedom, and the optimal service user combination is selected;

[0075] 2. Based on the hardware device capacity of the base station, factors such as transmission power, channel number and radio frequency power consumption are comprehensively considered, combined with the imported real scene map, according to the spatial loss, the coverage hole and the signal coverage shadow area are analyzed, the limit coverage capacity of the base station is confirmed, combined with the selected optimal service user combination, the effective distance of the actual coverage of the base station is confirmed, so as to deduce the reasonable inter-station distance, hanging height, direction angle and downtilt angle and other parameters of the region, and guide the 5G network planning and construction;

[0076] 3. The traffic of each user in the optimal service user combination is calculated, and the total capacity under the station is obtained by summation. The historical behavior of the user is analyzed, mainly from the data service to distinguish URLLC service and MMTC service, and the reserved capacity of the service user is calculated, so as to call when the user needs, and to avoid high load situation to the maximum extent, and to create extreme user experience; combined with the selected optimal service user combination, the total capacity of the base station is confirmed, so as to deduce the reasonable base station parameters, and guide the 5G network planning and construction;

[0077] 4. The present network capacity is collected for iteration verification, and the 4 / 5G network capacity is accurately predicted. The best service user set is selected with the main target of eliminating the interference between users, combined with the device capacity to confirm the effective distance of the base station coverage, and the site capacity is deduced according to the historical behavior of the user. Considering the influence and restriction factors of the three, the edge user service quality threshold and the upper limit of the base station capacity are set, any one condition is met to stop iteration, and the corresponding coverage type and capacity type parameters at this time are extracted as the recommended network performance planning parameters.

[0078] Specifically, the wireless network planning device simulates user behavior, randomly generates user distribution, demarcates a plurality of users within a first 5G micro base station range, and obtains user behavior information, uplink signal containing information, and base station information of the plurality of users within the first 5G micro base station range from an integrated processing information base, wherein the user behavior information specifically includes average revenue per user (ARPU) and dataflow of usage (DOU) of the user, the uplink signal containing information specifically includes user transmission power, information transmission time, user information type, and user location information, and the base station information specifically includes uplink signal receiving power, information arrival time, and base station location information.

[0079] Further, the wireless network planning device respectively marks the service type of each user according to the user behavior information of each user, and demarcates a first to-be-selected user subset from the plurality of users within the first 5G micro base station coverage range, which can be marked as r1, wherein the service type applied by the user in the first to-be-selected user subset is EMBB service, and the plurality of users within the first 5G micro base station coverage range can be users served by a 5G macro base station or users served by a 5G micro base station.

[0080] It should be noted that one 5G macro base station, one 4G macro base station, and L micro base stations can form a wireless communication system in a Massive MIMO scenario, and the embodiment of the present application takes one first 5G macro base station, one 4G macro base station, and the first lth first 5G micro base station as an example to illustrate the combination into a wireless communication system in a Massive MIMO scenario. The micro base stations are isolated from each other and the interference between the micro cells is ignored. There are K M users in the macro cell served by the 4 / 5G macro base station, and there are K p users in the micro cell served by the 5G micro base station. The first 5G macro base station is configured with N M transmit antennas, the first 5G micro base station is configured with N P transmit antennas, and the user is configured with N U receive antennas. Since the transmission power of the micro base station is much smaller than that of the macro base station, the interference from the micro base station to the macro cell users can be ignored when the macro cell users are far away from the micro base station. As Figure 3 shown, Figure 3 is a wireless communication system in a Massive MIMO scenario provided by the present application, wherein the dashed line part represents an interference signal, and the solid line part represents a useful signal. It can be seen that the 4G macro base station will generate inter-system same-frequency interference to the users within the coverage range of the first 5G macro base station, and the first 5G macro base station will generate intra-system cross-layer interference to the users within the coverage range of the first 5G micro base station.

[0081] Assuming that the base station can ideally obtain the channel state information, the embodiment of the present application takes the user terminal configured with multiple antennas in the system as an example, so the channel state information is in the form of a matrix. Using denotes the interference channel matrix between the first 5G macro base station and the ith user in the 1th 5G micro cell, denotes the useful channel matrix between the first 5G macro base station and the jth user in the 5G macro cell, denotes the useful channel matrix between the 4G macro base station and the jth user in the 5G macro cell, denotes the useful channel matrix between the 1th first 5G micro base station and the ith user in the 5G micro cell, denotes the interference channel matrix between the 4G macro base station and the jth user in the 1th 5G micro cell, denotes the useful channel matrix between the 1th first 5G micro base station and the jth user in the 5G micro cell. Since the power of the macro base station is much higher than that of the micro base station, the interference of the micro base station on the users served by the macro base station is ignored.

[0082] Therefore, the received signal of the jth user in the macro cell served by the first 5G macro base station is:

[0083]

[0084] wherein, is the useful signal, is the same-system multi-user interference, is the different-system multi-user interference, z jM is the additive noise, x jM denotes the N U ×1-dimensional transmission signal of the user j in the macro cell, E[∥∥x jM ∥∥ 2 ]=1.

[0085] wherein and denote the received power of the signal received by the user in the macro cell from the first 5G macro base station and the 4G macro base station, respectively, and denote the corresponding Rayleigh fading channels, and the elements in the channel matrix are subject to a complex Gaussian distribution with a mean of 0 and a variance of 1. jM is an N M ×N U matrix, which denotes the precoding matrix of the user when the channel information is ideal. jM denotes an N U ×1-dimensional zero-mean complex Gaussian noise vector with a variance of 1.

[0086] The corresponding signal-to-interference ratio is:

[0087]

[0088] Thus, the received signal of the i-th user in the microcell l served by the first 5G micro base station is:

[0089]

[0090] where, is the useful signal, is the intra-microcell multi-user interference, is the inter-tier inter-cell interference, z il is the additive noise, x il denotes the N U x 1-dimensional transmit signal to the user i in the microcell, E[∥x il ∥ 2 ]=1. where and denote the received power of the signal received by the microcell user from the first 5G macro base station and the 4G macro base station and the first 5G micro base station, respectively, and denote the corresponding Rayleigh fading channels, the elements in the channel matrix follow a complex Gaussian distribution with mean 0 and variance 1. il is an N P x N U matrix, denoting the precoding matrix of the user when the channel information is ideal. il denotes an N U x 1-dimensional zero-mean complex Gaussian noise vector with variance 1.

[0091] The corresponding signal-to-interference ratio is:

[0092]

[0093] Further, according to Shannon's theorem, from equation (2), the total capacity of the user in the 5G macrocell is:

[0094]

[0095] where the user rate in the 5G macrocell can be expressed as:

[0096]

[0097] From equation (4), the total capacity of the user in the 5G microcell l is:

[0098]

[0099] where the user rate in the 5G microcell l can be expressed as:

[0100]

[0101] When the channel information is ideal, the microcell l uses BD precoding to eliminate the interference between users in the cell (inter-system cross-tier interference). That is, when the channel information is ideal, the multi-user interference term As for the cross-tier interference of the 4 / 5G macro base station to the users of the cell l, the macro base station needs to have sufficient spatial degrees of freedom to eliminate the cross-tier interference while eliminating the multi-user interference of the macro base station. However, the spatial degrees of freedom often cannot meet the requirements. When the spatial degrees of freedom of the base station are insufficient to completely eliminate all the multi-user interference in the cell and the inter-cell interference, the multi-user interference can be eliminated first by using the spatial degrees of freedom, and the remaining degrees of freedom are used to eliminate part of the inter-cell interference. Further, by selecting an appropriate user selection algorithm, the interference channel matrix of the serving user and the inter-cell interference channel matrix are parallel in direction, so as to eliminate the inter-cell interference. And when the user uses a single-antenna terminal to receive, the channel thereof is in the form of a vector; when the user uses a multi-antenna terminal to receive, the channel thereof changes to the form of a matrix. Based on this consideration, a user selection algorithm for reducing cross-tier interference in a heterogeneous network of different systems is proposed. The algorithm uses chord distance as a measurement index of the direction between channel matrices, and uses the chord distance to keep the parallelism between channel matrices as much as possible, and uses the chord distance of different systems to correct, so as to eliminate the inter-system same-frequency interference to the greatest extent.

[0102] The chord distance between the matrix and can be expressed as:

[0103]

[0104] Wherein, θ k represents the principal angle of the subspace spanned by the matrix and column matrix and . The chord distance can be calculated by formula (9), that is:

[0105]

[0106] Without loss of generality, the present application assumes that the first 5G macro base station has ξ = 1 degrees of freedom available for eliminating the cross-tier interference to the i th user of the 5G microcell l. In the 5G microcell l, the user j is selected so that the interference channel matrix between the macro base station and the user j and the inter-cell interference channel matrix between the macro base station and the user i are parallel in direction, so as to minimize the cross-tier interference of the macro base station to the user j.

[0107] The matrix and The chord distance between them can be expressed as:

[0108]

[0109] wherein, denotes the subspace spanned by the matrix and the column matrix and the principal angle. The chord distance can be calculated by formula (11), i.e.:

[0110]

[0111] Without loss of generality, the present application assumes that the first 5G micro base station has ξ = 1 degree of freedom available for eliminating the co-frequency interference of the 4G macro base station on the i-th user of the 5G micro cell l. In the 5G micro cell l, a user j is selected such that the interference channel matrix between the macro base station and the user j and the useful channel matrix between the micro base station and the user i are parallel, which can minimize the co-frequency interference received by the user j from the macro base station.

[0112] The target function for correcting the chord distance is defined as:

[0113]

[0114] According to the historical behavior of the user, the required capacity of the user is set in combination with the service characteristics such as high rate, low latency, and large capacity. At the same time, in order to avoid the rapid deterioration of service experience caused by sudden factors, elastic capacity reservation is carried out. The selection range of the served user is limited by the hardware capability of the equipment, and the corresponding channel number and transmission power directly determine the size of the user's received signal strength, and the advantages and disadvantages of the propagation environment directly determine the user experience, which are mutually restricted. Based on the Shannon formula, the capacity demand and the coverage condition are mutually balanced, and the finally formed subset can be divided into the selected service user.

[0115] The interference problem of the selected service user itself is more prominent, which is limited in a relatively small range. Therefore, in this case, the user selection algorithm of the corrected chord distance is applied to user selection, so as to obtain the optimal solution under the mutual influence of coverage, capacity, and interference. The user selection algorithm of the corrected chord distance selects the user with the best useful channel state in the micro cell range as the reference user, selects the user with the farthest chord distance from the reference user in the cross-layer interference information received by the macro base station, and corrects the chord distance of the different system sites to form a plurality of service user combinations.

[0116] Therefore, the following description is directed to the specific process of wireless network planning in the EMBB service scenario, combined with Figure 4 , Figure 4is a whole scheme flow chart of wireless network planning provided by the application.

[0117] Further, the wireless network planning device selects a first service user from the first to-be-selected user subset based on the selection mode of minimum system interference (i.e., maximum channel norm), that is, a target user in the first to-be-selected user subset, so that the target user can be selected in the following way:

[0118]

[0119] wherein π(l, 1) is the target user, represents a useful channel matrix between the first 5G micro base station and the user i in the 5G micro cell l.

[0120] It should be noted that each user in the first to-be-selected user subset will select a service user paired with it as a service user combination through the corrected chord distance method, but in each service user combination calculation, the target user will be selected from the first to-be-selected user subset based on the consideration of minimum interference (i.e., maximum channel norm), and the calculated user will not be calculated repeatedly, and finally K service user combinations are determined in the K users in the first to-be-selected user subset.

[0121] Further, the wireless network planning device adopts precoding processing in the 5G system to eliminate the cross-layer interference on the target user π(l, 1).

[0122] Further, the wireless network planning device determines the interference channel matrix (i.e., the first channel matrix) of the first 5G macro base station on the target user π(l, 1), the interference channel matrix (i.e., the second channel matrix) of the first 5G macro base station on other users j, the useful channel matrix (i.e., the third channel matrix) of the first 5G micro base station on the target user π(l, 1), and the interference channel matrix (i.e., the fourth channel matrix) of the 4G macro base station on other users j, wherein other users j refer to users j in the first to-be-selected user subset except the target user.

[0123] Further, the wireless network planning device performs chord distance calculation on the first channel matrix corresponding to the target user π(l, 1) and the second channel matrix corresponding to each other user j to obtain a plurality of first distances, that is, a first distance set. According to formula (10), the first distance calculation mode is:

[0124]

[0125] Further, the wireless network planning device performs chord distance calculation on the third channel matrix corresponding to the target user π(l, 1) and the fourth channel matrix corresponding to each other user j, to obtain a plurality of second distances, i.e., a second distance set. According to formula (12), the second distance calculation method is as follows:

[0126]

[0127] Therefore, by the above method, the first distance between the first channel matrix of the first 5G macro base station to any target user and the second channel matrix of the first 5G macro base station to each other user can be determined, and the second distance between the third channel matrix of the first 5G micro base station to any target user and the fourth channel matrix of the 4G macro base station to each other user can be determined, and finally the plurality of first distances and the plurality of second distances corresponding to each target user, i.e., the first distance set and the second distance set corresponding to each target user, can be determined.

[0128] Further, the wireless network planning device determines the service user combination of each target user based on the plurality of first distances and the plurality of second distances.

[0129] Further, the wireless network planning device performs wireless network analysis based on the plurality of service user combinations to obtain a wireless network planning result.

[0130] The wireless network planning method provided by the application comprehensively considers the inter-system same-frequency interference represented by the 4G macro base station to the first 5G macro base station and the intra-system cross-layer interference represented by the first 5G macro base station to the first 5G micro base station in the enhanced mobile broadband service scenario, calculates the chord distance between the channel matrices, further selects users for service according to the calculated first distance and second distance, obtains a plurality of service user combinations, realizes the optimal solution under the mutual influence of coverage, capacity and interference, reduces the interference caused by the inter-system same-frequency interference and the intra-system cross-layer interference in wireless network planning, and then performs wireless network analysis based on the plurality of service user combinations to obtain a wireless network planning result, which comprehensively reflects the real network situation and provides an actual theoretical basis for wireless network planning, thereby improving the accuracy of wireless network planning.

[0131] Further, based on step 104, the first distance set includes a plurality of first distances, and the second distance set includes a plurality of second distances. When determining the service user combination of the corresponding target user based on the first distance set and the second distance set of each target user, the following steps are performed for each target user:

[0132] Convolution is performed on the first distance and the second distance corresponding to the target user and each other user to obtain the convolution result between the target user and the corresponding other user.

[0133] determine a plurality of users corresponding to the maximum convolution result in each convolution result as the service user combination of the target user; the plurality of users corresponding to the maximum convolution result includes the target user and at least one other user.

[0134] Specifically, as shown in the following description, the user with the maximum chord distance is selected for service to reduce the inter-system co-channel interference and the intra-system cross-layer interference, and thus it can be understood that the wireless network planning apparatus convolves the first distance and the second distance corresponding to the target user and each other user to obtain the convolution result between the target user and the corresponding other user. Figure 4

[0135] Therefore, by the convolution calculation method, the channel distance between the target user and (K-1) other users is calculated, the inter-system co-channel interference and the intra-system cross-layer interference are considered, (K-1) convolution results are obtained, and the other user with the maximum distance is selected to reduce the inter-system co-channel interference and the intra-system cross-layer interference, so as to realize the chord distance user selection algorithm.

[0136] Further, the wireless network planning apparatus compares the numerical values of each convolution result to obtain a comparison result, and further determines a plurality of users corresponding to the maximum convolution result as the service user combination of the target user according to the comparison result, wherein the plurality of users corresponding to the maximum convolution result includes the target user and at least one other user, for example, if the convolution result calculated between the user m and the target user and the convolution result calculated between the user n and the target user are both the maximum convolution result, then the user m, the user n and the target user are divided into one service user combination.

[0137] According to formula (13), the calculation method of the user selection result can be represented as:

[0138]

[0139] Therefore, the service user combination of each target user can be determined by the above method, and if there is a repeated service user combination, it is classified into the same service user combination.

[0140] The embodiment of the application comprehensively considers the inter-system co-channel interference of the 4G macro base station on the first 5G macro base station and the intra-system cross-layer interference of the first 5G macro base station on the first 5G micro base station, takes the chord distance as the measurement index of the direction between the channel matrices, uses the chord distance to maintain the parallelism between the channel matrices as much as possible, and uses the inter-system chord distance for correction to eliminate the inter-system co-channel interference and the intra-system cross-layer interference to the greatest extent, and finally selects the user with the maximum chord distance for service to form the service user combination. ​

[0141] Further, based on step 105, the wireless network analysis based on multiple service user combinations to obtain wireless network planning results includes:

[0142] Obtain the average revenue per user and the wireless communication system energy consumption for each user in each service user combination; the wireless communication system energy consumption includes the energy consumption of the first 5G macro base station and the energy consumption of the first 5G micro base station.

[0143] Operating revenue is calculated based on the average revenue of each user and the energy consumption of each wireless communication system to obtain the operating revenue value of each service user combination.

[0144] The service user combination corresponding to the maximum operating revenue value is determined as the optimal service user combination;

[0145] Based on the optimal service user combination, wireless network analysis is performed to obtain wireless network planning results.

[0146] Specifically, such as Figure 4 As shown, the following describes the specific process of selecting the optimal service user combination with the highest efficiency from multiple service user combinations from an efficiency-oriented perspective. Therefore, it can be understood that the wireless network planning device obtains the ARPU value of each user in each service user combination and the wireless communication system energy consumption of each user. The wireless communication system energy consumption includes the energy consumption of the first 5G macro base station and the energy consumption of the first 5G micro base station.

[0147] Furthermore, the wireless network planning device calculates the operating revenue based on the average revenue of each user and the energy consumption of each wireless communication system, thereby obtaining the operating revenue value of each service user combination.

[0148] It should be noted that the operator's operating revenue function can be expressed as the difference between the total user revenue and the network operating cost, where the network operating cost is the product of the unit price of energy and the energy consumption of the wireless communication system, as shown below:

[0149]

[0150] Where, k M k represents the user group served by the first 5G macro base station in the service user group. l ARPU represents the average revenue per user within the user portfolio served by the first 5G micro base station. This indicates the energy consumption of the first 5G macro base station. This indicates the energy consumption of the first 5G micro base station.

[0151] In the wireless communication system, energy consumption can be divided into inherent energy consumption and dynamic energy consumption, the inherent energy consumption is the energy consumption required for the base station to maintain normal operation, which is a fixed value; the dynamic energy consumption is dynamically changed by factors such as the number of served users, the distance between the served users and the base station, and the quality of service requirements of the users. Therefore, the cost corresponding to the inherent energy consumption is subtracted from the revenue function, formula (18) is simplified, and only the change part is further studied, so that the calculation method of the operation revenue value of each served user combination can be represented as follows:

[0152]

[0153] It can be simplified as:

[0154]

[0155] Further, the wireless network planning device compares the operation revenue values of each served user combination in numerical size to obtain a comparison result, and further, the wireless network planning device determines the served user combination corresponding to the maximum operation revenue value as the optimal served user combination according to the comparison result.

[0156] Further, the wireless network planning device performs wireless network analysis based on the optimal served user combination to obtain a wireless network planning result, wherein the wireless network planning result includes a first target capacity prediction result and a target coverage prediction result.

[0157] The embodiments of the present application are benefit-oriented, consider network operation cost expenditure when selecting users, reduce inter-system co-channel interference and inter-system cross-layer interference by combining the user selection algorithm of corrected chord distance, define a revenue function on the premise of meeting user service demand, traverse all possible served user combinations, find a cost-optimal set to determine the optimal served user combination, maximize investment value, improve investment efficiency ratio, maximize enterprise revenue, and promote cost reduction and efficiency improvement.

[0158] Further, the wireless network planning result includes a first target capacity prediction result; the wireless network analysis based on the optimal served user combination to obtain a wireless network planning result includes:

[0159] If the optimal served user combination includes at least one macro base station served user served by the first 5G macro base station and at least one micro base station served user served by the first 5G micro base station, perform 5G macro base station capacity calculation based on each macro base station served user to obtain a first capacity, and perform 5G micro base station capacity calculation based on each micro base station served user to obtain a second capacity;

[0160] Sum the first capacity and the second capacity to obtain the total capacity of the wireless communication system;

[0161] The first target capacity prediction result is obtained based on the total capacity of the wireless communication system.

[0162] Specifically, as shown in the following description of the specific process of wireless network capacity prediction, it can be understood that the wireless network planning device determines whether the optimal service user combination includes the users served by the first 5G macro base station and the micro base station service users served by the first 5G micro base station. Figure 4

[0163] Further, if the optimal service user combination includes at least one macro base station service user served by the first 5G macro base station and at least one micro base station service user served by the first 5G micro base station, the wireless network planning device performs 5G macro base station capacity calculation based on each macro base station service user to obtain the first capacity, and performs 5G micro base station capacity calculation based on each micro base station service user to obtain the second capacity.

[0164] Further, the wireless network planning device sums the first capacity and the second capacity to obtain the total capacity of the wireless communication system.

[0165] It should be noted that the first capacity is obtained by performing 5G macro base station capacity calculation according to the above formula (5), and the second capacity is obtained by performing 5G micro base station capacity calculation according to the above formula (7), so the calculation formula of the total capacity of the wireless communication system is as follows:

[0166] R = R M + R l = ∑ J R MJ + ∑ P R lp (21)

[0167] Wherein, R is the total capacity of the wireless communication system, R M is the first capacity, R l is the second capacity, J represents the macro base station service user served by the first macro base station, and P represents the micro base station service user served by the first micro base station.

[0168] Further, if the optimal service user combination includes at least one macro base station service user served by the first 5G macro base station, the wireless network planning device performs 5G macro base station capacity calculation based on each macro base station service user to obtain the first capacity.

[0169] Further, the wireless network planning device determines the first capacity as the total capacity of the wireless communication system, that is:

[0170] R = R M = ∑ J R MJ (22) ​

[0171] Further, if the optimal service user combination set includes at least one micro base station service user served by the first 5G micro base station, the wireless network planning device performs 5G micro base station capacity calculation based on each micro base station service user to obtain a second capacity.

[0172] Further, the wireless network planning device determines the second capacity as the total capacity of the wireless communication system, that is:

[0173] R = R l =∑ P R lp (23)

[0174] Further, the wireless network planning device performs updating based on the total capacity of the wireless communication system to obtain a first target capacity prediction result.

[0175] The embodiment of the application determines the optimal service user combination under the reduction of interference and benefit orientation, which can maximize the use of network resources, improve system efficiency and user experience, and further accurately calculate the capacity of the first 5G macro base station and the capacity of the first 5G micro base station through the macro base station service user and the micro base station service user in the optimal service user combination.

[0176] Further, the updating based on the total capacity of the wireless communication system to obtain a first target capacity prediction result comprises:

[0177] determining a first remaining degree of freedom of the first 5G macro base station and a second remaining degree of freedom of the first 5G micro base station; the first remaining degree of freedom is the number of users that can be carried by the idle resources of the first 5G macro base station;

[0178] If the first remaining degree of freedom or the second remaining degree of freedom is greater than zero, the remaining users in the first to-be-selected user subset except the optimal service user combination are updated to the first to-be-selected user subset, and the steps of performing chord distance calculation on the first channel matrix and a plurality of second channel matrices are iteratively executed until the first remaining degree of freedom and the second remaining degree of freedom are equal to zero, to obtain a first target capacity prediction result.

[0179] Specifically, the wireless network planning device determines a first remaining degree of freedom of the first 5G macro base station and a second remaining degree of freedom of the first 5G micro base station, wherein the first remaining degree of freedom is the number of users that can be carried by the idle resources of the first 5G macro base station, and the second remaining degree of freedom is the number of users that can be carried by the idle resources of the first 5G micro base station.

[0180] Further, if the first remaining degree of freedom or the second remaining degree of freedom is greater than zero, the wireless network planning device updates the remaining users in the first to-be-selected user subset except the optimal service user combination to the first to-be-selected user subset, and iteratively performs the step of calculating the chord distance of the first channel matrix with the plurality of second channel matrices, until the first remaining degree of freedom and the second remaining degree of freedom are both equal to zero, to obtain the first target capacity prediction result.

[0181] Therefore, by the above-mentioned iterative selection of the optimal service user combination and the update of the total capacity of the wireless communication system, the first 5G macro base station and the first 5G micro base station can be loaded to the full capacity under the conditions of reduced interference and high diversity gain, and the precise capacity prediction of the wireless communication system can be realized.

[0182] It should be noted that before each selection of the optimal service user combination and the update of the total capacity of the wireless communication system, whether all the parameters in the uplink signal containing information and the base station information meet the standard is determined according to the current total capacity of the wireless communication system, if the parameters meet the standard, the parameters do not need to be adjusted, and if the parameters do not meet the standard, the parameters need to be adjusted again.

[0183] The embodiment of the present application evaluates the available resource situation of the base station through the remaining degree of freedom, and in the case where the remaining degree of freedom is greater than zero, the iterative process of user selection and channel optimization is performed, which can gradually optimize the resource utilization and improve the user experience, until the remaining degrees of freedom of the base station are all zero, and all the available resources in the base station are fully utilized, and the capacity of the base station is maximized. The total capacity of the wireless communication system obtained by the update is the first target capacity prediction result accurately predicted. Through the precise capacity prediction, the network operator can better plan the resources and improve the network performance and user experience.

[0184] Further, the wireless network planning result includes a target coverage prediction result; the target coverage prediction result includes a macro base station coverage prediction result and a micro base station coverage prediction result; the wireless network analysis based on the plurality of service user combinations to obtain the wireless network planning result further includes:

[0185] obtaining first hardware device parameters of the first 5G macro base station and second hardware device parameters of the first 5G micro base station;

[0186] determining a first coverage capability of the first 5G macro base station based on the first hardware device parameters;

[0187] determining a second coverage capability of the first 5G micro base station based on the second hardware device parameters;

[0188] Based on the distance from each user in the optimal service user combination to the first 5G macro base station, the macro base station coverage prediction result of the first 5G macro base station is determined.

[0189] Based on the distance from each user in the optimal service user combination to the first 5G micro base station, the micro base station coverage prediction result of the first 5G micro base station is determined.

[0190] Specifically, such as Figure 4 As shown below, the specific process of wireless network coverage prediction is described. Therefore, it can be understood that the wireless network planning device obtains the first hardware device parameters of the first 5G macro base station and the second hardware device parameters of the first 5G micro base station. Both the first hardware device parameters and the second hardware device parameters include parameters such as transmit power, number of channels, and radio frequency power consumption.

[0191] Furthermore, the wireless network planning device determines the first coverage capability of the first 5G macro base station, which is the maximum coverage capability of the first 5G macro base station, based on the first hardware device parameters.

[0192] Furthermore, the wireless network planning device determines the second coverage capability of the first 5G micro base station, which is the maximum coverage capability of the first 5G micro base station, based on the first hardware device parameters.

[0193] Furthermore, the wireless network planning device confirms the location information of each user in the optimal service user combination, the location information of the first 5G macro base station, and the location information of the second 5G micro base station.

[0194] Furthermore, the wireless network planning device determines the distance from each user in the optimal service user combination to the first 5G macro base station based on the location information of each user in the optimal service user combination and the location information of the first 5G macro base station. Furthermore, the wireless network planning device determines the macro base station coverage prediction result of the first 5G macro base station based on each distance.

[0195] Furthermore, the wireless network planning device determines the distance from each user in the optimal service user combination to the first 5G micro base station based on the location information of each user in the optimal service user combination and the location information of the first 5G micro base station. Furthermore, the wireless network planning device determines the micro base station coverage prediction result of the first 5G micro base station based on each distance.

[0196] This invention determines the optimal service user combination under the guidance of reducing interference and efficiency. This combination can maximize the utilization of network resources, improve system efficiency and user experience. Furthermore, based on the optimal service user combination, the macro base station coverage prediction results of the first 5G macro base station and the micro base station coverage prediction results of the first 5G micro base station are accurately calculated. Through accurate coverage prediction, it helps network planning and optimization, and improves network coverage and user experience.

[0197] The following is the wireless network planning for the URLLC service scenario, combined with Figure 5 , Figure 5 is a second flowchart of the wireless network planning method provided by the application.

[0198] As Figure 5 shown, the wireless network planning method provided by the application further comprises the following steps:

[0199] Step 501: Obtain a second to-be-selected user subset in the coverage range of a second 5G micro base station;

[0200] Step 502: Determine a first user based on the user order of the second to-be-selected user subset;

[0201] Step 503: Obtain the first position information of the first user, the second position information of the second 5G macro base station, and the third position information of the second 5G micro base station;

[0202] Step 504: Determine the target base station with the shortest distance to the first user based on the first position information, the second position information, and the third position information;

[0203] Step 505: Perform target base station capacity calculation based on the first user to obtain a third capacity;

[0204] Step 506: Determine a second target capacity prediction result based on the third capacity.

[0205] Specifically, as Figure 4 shown, the specific process of wireless network capacity prediction is described below, so it can be understood that the wireless network planning device marks the service type of each user according to the user behavior information of each user, and divides a second to-be-selected user subset from a plurality of users in the coverage range of the second 5G micro base station, which can be marked as r2, wherein the service type applied by the user in the second to-be-selected user subset is URLLC service.

[0206] Further, the wireless network planning device determines a first user based on the user order of the second to-be-selected user subset. It should be noted that the user order can be determined according to the order of base station connection sent by the user through the user terminal.

[0207] It should be noted that in the URLLC service scenario, the distance between the user and the base station directly affects the service delay, the delay is calculated according to the information sending time in the uplink signal and the information arrival time in the base station information, the distance is calculated according to the user position information in the uplink signal and the base station position information in the base station information, and finally the base station closest in physical distance serves the user to realize user selection of base station service. In the case of multiple base station selection, distance and delay are important indicators for base station selection, and base station selection is preferentially performed according to the distance indicator, and in the case of the same distance indicator, the finally selected service base station is determined according to the delay indicator.

[0208] Further, the wireless network planning device obtains first position information of a first user, second position of a second 5G macro base station and third position information of a second 5G micro base station.

[0209] Further, the wireless network planning device determines the distance between the first user and the second 5G macro base station based on the first position information of the first user and the second position information of the second 5G macro base station.

[0210] Further, the wireless network planning device determines the distance between the first user and the second 5G micro base station based on the first position information of the first user and the third position information of the second 5G micro base station.

[0211] Further, the wireless network planning device compares the distance between the first user and the second 5G macro base station and the distance between the first user and the second 5G micro base station to obtain a comparison result.

[0212] Further, if the comparison result is that the distances are equal, the wireless network planning device determines the delay between the first user and the second 5G macro base station based on the information sending time of the first user and the information arrival time of the second 5G macro base station, and determines the delay between the first user and the second 5G micro base station based on the information sending time of the first user and the information arrival time of the second 5G micro base station.

[0213] Further, the wireless network planning device determines the target base station with the shortest delay of the first user based on the delay between the first user and the second 5G macro base station and the delay between the first user and the second 5G micro base station.

[0214] Further, if the comparison result is that the distances are not equal, the wireless network planning device determines the base station closest to the first user as the target base station.

[0215] Further, the wireless network planning device calculates the target base station capacity based on the first user to obtain a third capacity.

[0216] Further, the wireless network planning device determines the second target capacity prediction result based on the third capacity.

[0217] It should be noted that before each next round of base station selection, it is determined whether all parameters in the uplink signal containing information and the base station information meet the standard according to the current total capacity of the wireless communication system, if the parameters meet the standard, the parameters do not need to be adjusted, if the parameters do not meet the standard, the parameters need to be adjusted again.

[0218] In the scene of the ultra-reliable and low-latency communication service, the embodiment of the application determines the target base station with the most suitable distance according to the user demand and the base station position information, and calculates the capacity of the target base station, thereby obtaining the accurate second target capacity prediction result of the wireless communication system, which can effectively select the service base station, improve the user experience and the service quality, provide the actual theoretical basis for the wireless network planning, and thus improve the accuracy of the wireless network planning.

[0219] Further, the wireless network planning device determines the second target capacity prediction result based on the third capacity.

[0220] determining the third remaining degrees of freedom of the second 5G macro base station and the fourth remaining degrees of freedom of the second 5G micro base station;

[0221] If the third remaining degrees of freedom or the fourth remaining degrees of freedom are greater than zero, the remaining users in the second to-be-selected user subset except the first user are updated to a second to-be-selected user subset, and the steps of determining the first user based on the user order of the second to-be-selected user subset are iteratively executed until the third remaining degrees of freedom and the fourth remaining degrees of freedom are equal to zero, and a preset number of third capacities are obtained.

[0222] The preset number of third capacities are summed to obtain the second target capacity prediction result.

[0223] Specifically, the wireless network planning device determines the third remaining degrees of freedom of the second 5G macro base station and the fourth remaining degrees of freedom of the second 5G micro base station.

[0224] Further, if the third residual degree of freedom or the fourth residual degree of freedom is greater than zero, the wireless network planning device updates the remaining users in the second to-be-selected user subset except the first user as the second to-be-selected user subset, and iteratively performs the user sequence based on the second to-be-selected user subset, the step of determining the first user, until the third residual degree of freedom and the fourth residual degree of freedom are both equal to zero, to obtain the preset number of third capacities.

[0225] That is, the users in the second to-be-selected user subset will select the base station in sequence, and the nearest station is determined as the target base station. When the second 5G macro base station and the second 5G micro base station both reach full load, the user selection of the service base station is ended, and the precise capacity prediction of the wireless communication system is realized.

[0226] Further, the wireless network planning device sums the preset number of third capacities to obtain a second target capacity prediction result.

[0227] The embodiment of the application evaluates the available resource situation of the base station according to the residual degree of freedom, and in the case that the residual degree of freedom is greater than zero, iteratively performs the user selection of the target base station, which can gradually optimize the resource utilization and improve the user experience, until the residual degree of freedom of the base station is zero, and all available resources in the base station are fully utilized, and the capacity of the base station is maximized. The sum of all capacities is the second target capacity prediction result accurately predicted. Through the precise capacity prediction, the network operator can better plan the resources and improve the network performance and user experience.

[0228] Further, the application further provides a wireless network planning device.

[0229] Reference Figure 6 , Figure 6 is a structural schematic diagram of the wireless network planning device provided by the application.

[0230] The wireless network planning device comprises:

[0231] The acquisition module 610 is configured to acquire a first to-be-selected user subset in the coverage range of a first 5G micro base station; and the service type applied by the users in the first to-be-selected user subset is an enhanced mobile broadband service.

[0232] The first distance calculation module 620 is configured to perform chord distance calculation based on a first channel matrix and a second channel matrix to obtain a first distance set corresponding to each target user; the first channel matrix is an interference channel matrix of a first 5G macro base station to the target user in the first to-be-selected user subset; the second channel matrix is an interference channel matrix of the first 5G macro base station to other users; and the other users are the users in the first to-be-selected user subset except the target user.

[0233] The second distance calculation module 630 is configured to calculate a chord distance between a third channel matrix and a fourth channel matrix to obtain a second distance set corresponding to each target user, wherein the third channel matrix is a useful channel matrix of the first 5G micro base station to the target user, and the fourth channel matrix is an interference channel matrix of the 4G macro base station to the other user.

[0234] The determination module 640 is configured to determine a service user combination of each target user based on the first distance set and the second distance set of the target user.

[0235] The wireless network analysis module 650 is configured to perform wireless network analysis based on the service user combinations to obtain a wireless network planning result.

[0236] The wireless network planning device provided by the application comprehensively considers the inter-system same-frequency interference represented by the 4G macro base station to the first 5G macro base station and the intra-system cross-layer interference represented by the first 5G macro base station to the first 5G micro base station in the enhanced mobile broadband service scenario, calculates the chord distance between the channel matrices, further selects users for service according to the first distance and the second distance obtained by calculation, obtains multiple service user combinations, and realizes the optimal solution under the mutual influence of coverage, capacity and interference, so as to reduce the interference caused by the inter-system same-frequency interference and the intra-system cross-layer interference in wireless network planning, and then perform wireless network analysis based on the multiple service user combinations to obtain a wireless network planning result, realize the comprehensive reflection of the real network situation, provide an actual theoretical basis for wireless network planning, and thus improve the accuracy of wireless network planning.

[0237] Further, the determination module 640 is further configured to:

[0238] perform convolution based on the first distance and the second distance corresponding to the target user and each other user to obtain a convolution result between the target user and the corresponding other user;

[0239] determine multiple users corresponding to the maximum convolution result in each convolution result as the service user combination of the target user, wherein the multiple users corresponding to the maximum convolution result include the target user and at least one other user.

[0240] Further, the determination module 640 is further configured to:

[0241] obtain a user average income value of each user in each service user combination and a wireless communication system energy consumption of each user, wherein the wireless communication system energy consumption includes an energy consumption of the first 5G macro base station and an energy consumption of the first 5G micro base station;

[0242] The operation income is calculated based on the average income value of each user and the energy consumption of each wireless communication system, and the operation income value of each service user combination is obtained.

[0243] The service user combination corresponding to the maximum operation income value is determined as the optimal service user combination.

[0244] The wireless network analysis is performed based on the optimal service user combination, and a wireless network planning result is obtained.

[0245] Further, the wireless network analysis module 650 is further used to:

[0246] If the optimal service user combination includes at least one macro base station service user served by the first 5G macro base station and at least one micro base station service user served by the first 5G micro base station, the 5G macro base station capacity is calculated based on each macro base station service user, and the first capacity is obtained, and the 5G micro base station capacity is calculated based on each micro base station service user, and the second capacity is obtained.

[0247] The first capacity and the second capacity are summed to obtain the total capacity of the wireless communication system.

[0248] The first target capacity prediction result is obtained based on the update of the total capacity of the wireless communication system.

[0249] Further, the wireless network analysis module 650 is further used to:

[0250] The first remaining degree of freedom of the first 5G macro base station and the second remaining degree of freedom of the first 5G micro base station are determined; the first remaining degree of freedom is the number of users that can be carried by the idle resources of the first 5G macro base station.

[0251] If the first remaining degree of freedom or the second remaining degree of freedom is greater than zero, the remaining users in the first to-be-selected user subset except the optimal service user combination are updated to the first to-be-selected user subset, and the steps of calculating the chord distance of the first channel matrix and the plurality of second channel matrices are iteratively executed until the first remaining degree of freedom and the second remaining degree of freedom are equal to zero, and the first target capacity prediction result is obtained.

[0252] Further, the wireless network analysis module 650 is further used to:

[0253] The first hardware device parameter of the first 5G macro base station and the second hardware device parameter of the first 5G micro base station are obtained.

[0254] Based on the first hardware device parameter, the first coverage capability of the first 5G macro base station is determined.

[0255] determine a second coverage capability of the first 5G micro base station based on the second hardware device parameter;

[0256] determine a macro base station coverage prediction result of the first 5G macro base station based on distances of the users in the optimal service user combination to the first 5G macro base station;

[0257] determine a micro base station coverage prediction result of the first 5G micro base station based on distances of the users in the optimal service user combination to the first 5G micro base station.

[0258] The wireless network planning device is further configured to:

[0259] obtain a second to-be-selected user subset within a coverage range of a second 5G micro base station; a service type applied by a user in the second to-be-selected user subset is an ultra-reliable and low-latency communication service;

[0260] determine a first user based on a user order of the second to-be-selected user subset;

[0261] obtain first position information of the first user, second position information of a second 5G macro base station, and third position information of the second 5G micro base station;

[0262] determine a target base station closest to the first user based on the first position information, the second position information, and the third position information;

[0263] perform target base station capacity calculation based on the first user to obtain a third capacity;

[0264] determine a second target capacity prediction result based on the third capacity.

[0265] The wireless network planning device is further configured to:

[0266] determine a third remaining degree of freedom of the second 5G macro base station and a fourth remaining degree of freedom of the second 5G micro base station;

[0267] if the third remaining degree of freedom or the fourth remaining degree of freedom is greater than zero, update the remaining users in the second to-be-selected user subset except the first user as a second to-be-selected user subset, and iteratively perform the step of determining a first user based on a user order of the second to-be-selected user subset until the third remaining degree of freedom and the fourth remaining degree of freedom are both equal to zero, to obtain a preset number of third capacities;

[0268] sum the preset number of third capacities to obtain a second target capacity prediction result.

[0269] It should be noted that the wireless network planning device provided by the present application can execute the wireless network planning method described in any of the above embodiments during specific operation, and the present embodiment will not be described here.

[0270] Figure 7 is a structural schematic diagram of an electronic device provided by the present application, as Figure 7 shown, the electronic device can include a processor 710, a communications interface 720, a memory 730 and a communications bus 740, wherein the processor 710, the communications interface 720 and the memory 730 complete mutual communication through the communications bus 740. The processor 710 can call the logic instructions in the memory 730 to execute the wireless network planning method, which includes: obtaining a first subset of users to be selected in the coverage range of a first 5G micro base station; the service type applied by the users in the first subset of users to be selected is an enhanced mobile broadband service; based on the first channel matrix and the second channel matrix, the chord distance is calculated to obtain a first distance set corresponding to each target user; the first channel matrix is the interference channel matrix of the first 5G macro base station to the target user in the first subset of users to be selected; the second channel matrix is the interference channel matrix of the first 5G macro base station to other users; the other users are the users in the first subset of users to be selected except the target user; based on the third channel matrix and the fourth channel matrix, the chord distance is calculated to obtain a second distance set corresponding to each target user; the third channel matrix is the useful channel matrix of the first 5G micro base station to the target user; the fourth channel matrix is the interference channel matrix of the 4G macro base station to the other users; based on the first distance set and the second distance set of each target user, the service user combination of the corresponding target user is determined; based on the plurality of service user combinations, the wireless network is analyzed to obtain the wireless network planning result.

[0271] Further, the logic instructions in the memory 730 described above can be implemented in the form of software functional units and sold or used as standalone products, which can be stored in a computer readable storage medium. Based on such an understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0272] In another aspect, the present application also provides a computer program product, which comprises a computer program stored on a non-transitory computer readable storage medium, and the computer program comprises program instructions, when the program instructions are executed by a computer, the computer can execute the wireless network planning method provided by the above-mentioned embodiments, and the method comprises: obtaining a first subset of users to be selected in a coverage range of a first 5G micro base station; the service type applied by the users in the first subset of users to be selected is an enhanced mobile broadband service; performing chord distance calculation based on a first channel matrix and a second channel matrix to obtain a first distance set corresponding to each of a plurality of target users; the first channel matrix is an interference channel matrix of a first 5G macro base station to the target users in the first subset of users to be selected; the second channel matrix is an interference channel matrix of the first 5G macro base station to other users; the other users are users in the first subset of users to be selected except the target users; performing chord distance calculation based on a third channel matrix and a fourth channel matrix to obtain a second distance set corresponding to each of the plurality of target users; the third channel matrix is a useful channel matrix of the first 5G micro base station to the target users; the fourth channel matrix is an interference channel matrix of a 4G macro base station to the other users; determining a service user combination of each target user based on the first distance set and the second distance set of the target user; performing wireless network analysis based on a plurality of service user combinations to obtain a wireless network planning result.

[0273] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the wireless network planning method provided by any of the above embodiments, and the method comprises: obtaining a first subset of users to be selected in a coverage range of a first 5G micro base station; a service type applied by a user in the first subset of users to be selected is an enhanced mobile broadband service; performing chord distance calculation based on a first channel matrix and a second channel matrix to obtain a first distance set corresponding to each of a plurality of target users; the first channel matrix is an interference channel matrix of a first 5G macro base station to the target user in the first subset of users to be selected; the second channel matrix is an interference channel matrix of the first 5G macro base station to other users; the other users are users in the first subset of users to be selected except the target user; performing chord distance calculation based on a third channel matrix and a fourth channel matrix to obtain a second distance set corresponding to each of the plurality of target users; the third channel matrix is a useful channel matrix of the first 5G micro base station to the target user; the fourth channel matrix is an interference channel matrix of a 4G macro base station to the other users; determining a service user combination of each target user based on the first distance set and the second distance set of the target user; and performing wireless network analysis based on the plurality of service user combinations to obtain a wireless network planning result.

[0274] The apparatus embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0275] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software plus necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0276] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of wireless network planning, characterized by The method comprises: obtaining a first subset of users to be selected in a coverage range of a first 5G micro base station; a service type applied by a user in the first subset of users to be selected is an enhanced mobile broadband service; based on a first channel matrix and a second channel matrix, chord distance calculation is performed to obtain a first distance set corresponding to each target user; the first channel matrix is an interference channel matrix of a first 5G macro base station to the target user in the first subset of users to be selected; the second channel matrix is an interference channel matrix of the first 5G macro base station to other users; the other users are users other than the target user in the first subset of users to be selected; based on a third channel matrix and a fourth channel matrix, chord distance calculation is performed to obtain a second distance set corresponding to each target user; the third channel matrix is a useful channel matrix of the first 5G micro base station to the target user; the fourth channel matrix is an interference channel matrix of a 4G macro base station to the other users; based on the first distance set and the second distance set of each target user, a service user combination of the corresponding target user is determined respectively; based on the plurality of service user combinations, wireless network analysis is performed to obtain a wireless network planning result; the first distance set comprises a plurality of first distances; the second distance set comprises a plurality of second distances; when the first distance set and the second distance set of each target user are used to determine the service user combination of the corresponding target user respectively, the following steps are performed for each target user: convolution is performed based on the first distance and the second distance corresponding to the target user and each other user to obtain a convolution result between the target user and the corresponding other user respectively; a plurality of users corresponding to the maximum convolution result in each convolution result are determined as the service user combination of the target user; the plurality of users corresponding to the maximum convolution result include the target user and at least one other user; the wireless network analysis based on the plurality of service user combinations to obtain the wireless network planning result comprises: obtaining a user average income value of each user in each service user combination and a wireless communication system energy consumption of each user; the wireless communication system energy consumption includes energy consumption of the first 5G macro base station and energy consumption of the first 5G micro base station; based on the user average income value and the wireless communication system energy consumption, operation income calculation is performed to obtain an operation income value of each service user combination; a service user combination corresponding to the maximum operation income value is determined as an optimal service user combination; based on the optimal service user combination, wireless network analysis is performed to obtain a wireless network planning result.

2. The wireless network planning method of claim 1, wherein, the wireless network planning result comprises a first target capacity prediction result; the wireless network analysis based on the optimal service user combination to obtain the wireless network planning result comprises: If the optimal service user combination includes at least one macro base station service user served by the first 5G macro base station and at least one micro base station service user served by the first 5G micro base station, perform 5G macro base station capacity calculation based on each macro base station service user to obtain a first capacity, and perform 5G micro base station capacity calculation based on each micro base station service user to obtain a second capacity; Sum the first capacity and the second capacity to obtain a total capacity of the wireless communication system; Update based on the total capacity of the wireless communication system to obtain a first target capacity prediction result.

3. The wireless network planning method of claim 2, wherein, The updating based on the total capacity of the wireless communication system to obtain the first target capacity prediction result comprises: Determine a first remaining degree of freedom of the first 5G macro base station and a second remaining degree of freedom of the first 5G micro base station; the first remaining degree of freedom is the number of users that the idle resources of the first 5G macro base station can carry; If the first remaining degree of freedom or the second remaining degree of freedom is greater than zero, update the remaining users in the first to-be-selected user subset except the optimal service user combination to the first to-be-selected user subset, and iteratively perform the steps of calculating the chord distance of the first channel matrix and the plurality of second channel matrices to obtain the first target capacity prediction result.

4. The wireless network planning method of claim 3, wherein, The wireless network planning result includes a target coverage prediction result; the target coverage prediction result includes a macro base station coverage prediction result and a micro base station coverage prediction result; The wireless network analysis based on a plurality of service user combinations to obtain a wireless network planning result further comprises: Obtain the first hardware device parameters of the first 5G macro base station and the second hardware device parameters of the first 5G micro base station; Determine the first coverage capability of the first 5G macro base station based on the first hardware device parameters; Determine the second coverage capability of the first 5G micro base station based on the second hardware device parameters; Determine the macro base station coverage prediction result of the first 5G macro base station based on the distance of each user in the optimal service user combination to the first 5G macro base station; Determine the micro base station coverage prediction result of the first 5G micro base station based on the distance of each user in the optimal service user combination to the first 5G micro base station.

5. The wireless network planning method of claim 1, wherein, Further comprising: Obtain a second to-be-selected user subset within the coverage range of a second 5G micro base station; The service type applied by the users in the second to-be-selected user subset is an ultra-reliable and low-latency communication service; Determine a first user based on the user order of the second to-be-selected user subset; Obtain first position information of the first user, second position information of a second 5G macro base station, and third position information of the second 5G micro base station; Determine a target base station closest to the first user based on the first position information, the second position information, and the third position information; Perform target base station capacity calculation based on the first user to obtain a third capacity; Determine a second target capacity prediction result based on the third capacity.

6. The wireless network planning method of claim 5, wherein, The determination of the second target capacity prediction result based on the third capacity comprises: determining a third residual degree of freedom of the second 5G macro base station and a fourth residual degree of freedom of the second 5G micro base station; if the third residual degree of freedom or the fourth residual degree of freedom is greater than zero, updating the remaining users in the second to-be-selected user subset except for the first user as a second to-be-selected user subset, and iteratively performing the steps of determining the first user based on the second to-be-selected user subset, determining the first user based on the second to-be-selected user subset, until the third residual degree of freedom and the fourth residual degree of freedom are both equal to zero, obtaining a preset number of third capacities; summing the preset number of third capacities to obtain a second target capacity prediction result.

7. A wireless network planning apparatus, characterized by comprising: an acquisition module configured to acquire a first to-be-selected user subset within a coverage range of a first 5G micro base station; a service type applied by a user in the first to-be-selected user subset is an enhanced mobile broadband service; a first distance calculation module configured to perform chord distance calculation based on a first channel matrix and a second channel matrix to obtain a first distance set corresponding to each target user; the first channel matrix is an interference channel matrix of a first 5G macro base station to a target user in the first to-be-selected user subset; the second channel matrix is an interference channel matrix of the first 5G macro base station to other users; the other users are users in the first to-be-selected user subset except for the target user; a second distance calculation module configured to perform chord distance calculation based on a third channel matrix and a fourth channel matrix to obtain a second distance set corresponding to each target user; the third channel matrix is a useful channel matrix of the first 5G micro base station to the target user; the fourth channel matrix is an interference channel matrix of a 4G macro base station to the other users; a determination module configured to determine a service user combination of each target user based on the first distance set and the second distance set of the target user; a wireless network analysis module configured to perform wireless network analysis based on a plurality of service user combinations to obtain a wireless network planning result; the first distance set includes a plurality of first distances; the second distance set includes a plurality of second distances; when determining the service user combination of each target user based on the first distance set and the second distance set of the target user, the following steps are performed for each target user: perform convolution based on the first distance and the second distance corresponding to the target user and each other user to obtain a convolution result between the target user and the corresponding other user; determine a plurality of users corresponding to the maximum convolution result in each convolution result as the service user combination of the target user; the plurality of users corresponding to the maximum convolution result include the target user and at least one other user; the wireless network analysis based on a plurality of service user combinations to obtain a wireless network planning result, comprising: obtain a user average income value of each user in each service user combination and a wireless communication system energy consumption of each user; the wireless communication system energy consumption includes energy consumption of the first 5G macro base station and energy consumption of the first 5G micro base station; The operation income is calculated based on the average income value of each user and the energy consumption of each wireless communication system, and an operation income value of each service user combination is obtained; The service user combination corresponding to the maximum operation income value is determined as an optimal service user combination; Wireless network analysis is performed based on the optimal service user combination, and a wireless network planning result is obtained.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein, The processor executes the computer program to implement the steps of the wireless network planning method according to any one of claims 1 to 6.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the wireless network planning method according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the wireless network planning method according to any one of claims 1 to 6.

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