Signal bundling control method and device, base station equipment and storage medium

Abstract

The invention relates to a signal bundling control method and device, base station equipment and a storage medium. The signal bundling control method comprises the following steps: acquiring terminal position information of a user terminal; obtaining current network resource information of the base station; determining a cluster signal control strategy according to the terminal position information and the network resource information; and sending the first cluster signal to the user terminal based on the cluster signal control strategy. According to the embodiment of the invention, the cluster signal control strategy can be determined according to the position of the user terminal and the network resource information of the base station, and the first cluster signal is sent to the user terminal, thereby guaranteeing that the user can be located in the coverage area of the cluster signal, greatly improving the transmission efficiency of the signal, optimizing the signal distribution of the network, and improving the communication experience of the user.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a signal bundling control method, apparatus, base station equipment and storage medium. Background Art

[0002] With the rapid development of 5G communication technology, users have an increasingly strong demand for high speed, high capacity and low latency. The widespread application of 5G networks requires base stations to have higher signal transmission efficiency and more flexible signal coverage capabilities.

[0003] The traditional 5G signal transmission method relies on fixed-direction beams, which has problems such as insufficient signal coverage or resource waste, especially in high-density user areas or complex environments, where signals are difficult to transmit effectively. Therefore, how to better optimize the beaming method of 5G signals and improve communication quality has become a key technical issue that needs to be solved urgently. Summary of the invention

[0004] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a signal bundling control method, apparatus, base station equipment and storage medium.

[0005] In a first aspect, the present application provides a signal bundling control method, which is applied to a base station, including:

[0006] Obtaining terminal location information of a user terminal;

[0007] Obtain the current network resource information of the base station itself;

[0008] Determine a cluster signal control strategy according to the terminal location information and the network resource information;

[0009] A first beamforming signal is sent to the user terminal based on the beamforming signal control strategy.

[0010] Optionally, determining a cluster signal control strategy according to the terminal location information and the network resource information includes:

[0011] Determining the priority of the user terminal according to the terminal location information;

[0012] If the priority is a target priority, a cluster signal control strategy is determined according to the terminal location information and the network resource information.

[0013] Optionally, determining the priority of the user terminal according to the terminal location information includes:

[0014] Acquire first channel quality indication information of the user terminal;

[0015] The priority of the user terminal is determined based on the terminal location information and the first channel quality indication information.

[0016] Optionally, determining a cluster signal control strategy according to the terminal location information and the network resource information includes:

[0017] Determine an optimal beam direction according to the terminal location information and the network resource information;

[0018] determining a control parameter corresponding to the optimal beam direction;

[0019] The cluster signal control strategy is determined according to the control parameter.

[0020] Optionally, the control parameter includes: an angle control parameter, and determining the control parameter corresponding to the optimal beam direction includes:

[0021] Obtaining the number of beams in the target area to be covered by beam signal enhancement;

[0022] Acquire the amount of resources allocated to the user terminal and first channel quality indication information of the user terminal;

[0023] A beam weighting factor is determined according to the number of beams, the amount of resources and the first channel quality indication information to serve as an angle control parameter in the control parameters.

[0024] Optionally, the control parameter includes: an intensity control parameter, and determining the control parameter corresponding to the optimal beam direction includes:

[0025] Obtain the total number of propagation paths in the target area to be covered by beam signal enhancement;

[0026] Obtaining power loss and signal power of a path where the user terminal is located;

[0027] A signal gain index is determined according to the signal power, power loss and the total number of propagation paths to serve as an intensity control parameter in the control parameters.

[0028] Optionally, the method further comprises:

[0029] Acquiring user feedback data and location change information of the user terminal;

[0030] Determine a beam signal adjustment strategy according to the user feedback data and the position change information;

[0031] Send a second beam signal to the user terminal based on the beam signal adjustment strategy.

[0032] In a second aspect, the present application provides a signal bundling control device, which is applied to a base station, including:

[0033] A first acquisition module, used to acquire terminal location information of a user terminal;

[0034] The second acquisition module is used to acquire the current network resource information of the base station itself;

[0035] A first determination module, configured to determine a cluster signal control strategy according to the terminal location information and the network resource information;

[0036] The first sending module is configured to send a first beamforming signal to the user terminal based on the beamforming signal control strategy.

[0037] Optionally, the first determining module includes:

[0038] A first determining unit, configured to determine the priority of the user terminal according to the terminal location information;

[0039] The second determining unit is used to determine the cluster signal control strategy according to the terminal location information and the network resource information if the priority is a target priority.

[0040] Optionally, the first determining unit includes:

[0041] An acquiring subunit, configured to acquire first channel quality indication information of the user terminal;

[0042] The first determining subunit is used to determine the priority of the user terminal based on the terminal location information and the first channel quality indication information.

[0043] Optionally, the second determining unit includes:

[0044] A second determining subunit, configured to determine an optimal beam direction according to the terminal location information and the network resource information;

[0045] A third determining subunit, configured to determine a control parameter corresponding to the optimal beam direction;

[0046] The fourth determining subunit is configured to determine the cluster signal control strategy according to the control parameter.

[0047] Optionally, the control parameter includes: an angle control parameter, and the third determining subunit is further used for:

[0048] Obtaining the number of beams in the target area to be covered by beam signal enhancement;

[0049] Acquire the amount of resources allocated to the user terminal and first channel quality indication information of the user terminal;

[0050] A beam weighting factor is determined according to the number of beams, the amount of resources and the first channel quality indication information to serve as an angle control parameter in the control parameters.

[0051] Optionally, the control parameter includes: an intensity control parameter, and the third determining subunit is further used for:

[0052] Obtain the total number of propagation paths in the target area to be covered by beam signal enhancement;

[0053] Obtaining power loss and signal power of a path where the user terminal is located;

[0054] A signal gain index is determined according to the signal power, power loss and the total number of propagation paths to serve as an intensity control parameter in the control parameters.

[0055] Optionally, the device further comprises:

[0056] A third acquisition module, used to acquire user feedback data and location change information of the user terminal;

[0057] A second determination module, configured to determine a beam signal adjustment strategy according to the user feedback data and the position change information;

[0058] The second sending module is configured to send a second beamforming signal to the user terminal based on the beamforming signal adjustment strategy.

[0059] In a third aspect, the present application provides a base station device, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus;

[0060] Memory, used to store computer programs;

[0061] The processor is used to implement any signal bundling control method described in the first aspect when executing a program stored in the memory.

[0062] In a fourth aspect, the present application provides a computer-readable storage medium, on which a program of a signal beam control method is stored. When the program of the signal beam control method is executed by a processor, the steps of the signal beam control method described in any one of the first aspects are implemented.

[0063] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art:

[0064] The embodiment of the present application can determine the beam signal control strategy according to the location of the user terminal and the network resource information of the base station, and send the first beam signal to the user terminal, so as to ensure that the user is in the coverage area of ​​the beam signal, greatly improve the signal transmission efficiency, optimize the signal distribution of the network, and enhance the user's communication experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0066] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0067] Figure 1 A flow chart of a signal bundling control method provided in an embodiment of the present application;

[0068] Figure 2 A structural diagram of a signal bundling control device provided in an embodiment of the present application;

[0069] Figure 3 A structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0070] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0071] Since the traditional 5G signal transmission method relies on fixed-direction beams, there are problems of insufficient signal coverage or waste of resources, especially in high-density user areas or complex environments, where it is difficult to effectively transmit signals. To this end, the embodiments of the present application provide a signal beaming control method, a base station device, and a storage medium, which can better optimize the beaming method of 5G signals and improve communication quality.

[0072] The present application relates to multi-beam signal beamforming algorithms, intelligent dynamic allocation, and adaptive beam control. Among them, the multi-beam signal beamforming algorithm is a technology for optimizing 5G network signal transmission. It transmits multiple signal beams at the same time and dynamically adjusts the direction and strength of each signal beam according to the user's specific location, channel state information (CSI) and other parameters to achieve intelligent optimization of signal beaming and distribution. The algorithm is based on large-scale MIMO (multiple-input multiple-output) technology and can flexibly control the beamforming of different signal beams to reduce interference, improve signal coverage and transmission efficiency. The implementation logic of the algorithm mainly includes real-time monitoring of user needs and network status, dynamic allocation of network resources, and adaptive adjustment of each signal beam to ensure that each user can obtain the best signal quality while effectively managing network load.

[0073] Intelligent dynamic allocation technology is a 5G network resource allocation method based on real-time data and intelligent decision-making. It intelligently allocates the direction, strength and spectrum resources of the signal beam by monitoring factors such as the user's location, signal demand and network load in real time. The core logic of this technology is to use the user's channel state information (CSI) and the overall load of the network to dynamically optimize signal coverage and network resource allocation to ensure the connection quality and network efficiency of each user. Through machine learning and big data analysis, intelligent dynamic allocation technology can predict user needs, adjust beamforming, spectrum and power allocation, improve the network's service capabilities, reduce interference, and achieve efficient network resource management and load balancing.

[0074] Adaptive beam steering is an advanced signal control technology used in 5G networks. It dynamically adjusts the direction, width and strength of the signal beam to adapt to changes in the user's location and changes in the network environment. This technology relies on large-scale MIMO systems, can monitor channel state information (CSI) and user needs in real time, and adjust the beamforming of the antenna array through optimization algorithms to make the signal cover the user's location more accurately. The implementation logic of adaptive beam steering includes real-time collection of network environment data, analysis of current channel conditions, user density and interference, and then dynamically adjusting the direction and strength of the beam to ensure the quality of signal transmission. This technology not only improves the efficiency of signal transmission, but also reduces co-channel interference, ensuring users' stable connection and high-quality experience in different usage scenarios.

[0075] The present application embodiment provides a signal bundling control method, which is applied to a base station, such as Figure 1 As shown, including:

[0076] Step S101, obtaining terminal location information of a user terminal;

[0077] In the embodiment of the present application, the user terminal can use GPS to locate itself, obtain terminal location information, and send it to the base station, and the base station can obtain the terminal location information.

[0078] The system loads the multi-beam signal beamforming algorithm when the base station starts up, and generates the initial beam weight matrix (Weight Matrix) by adjusting the amplitude and phase of the antenna array to ensure that the signal direction can be dynamically adjusted. The algorithm is run using the built-in hardware resources of the base station (such as FPGA or DSP), supporting the function of multi-beam dynamic adjustment, providing a basis for signal distribution and optimization.

[0079] Step S102, obtaining terminal location information of the user terminal;

[0080] In the embodiment of the present application, the network resource information includes: bandwidth utilization, network load, interference intensity, channel quality index (CQI), signal to interference plus noise ratio (SINR) and signal feedback data, etc.

[0081] The base station system monitors network resource information such as bandwidth utilization, network load and interference intensity in real time, and uses algorithms to dynamically optimize channel allocation, beam direction and power control to ensure efficient resource utilization and improved signal quality. The dedicated monitoring module inside the base station determines whether there is an overload based on bandwidth utilization data to avoid base station overload.

[0082] Step S103, determining a cluster signal control strategy according to the terminal location information and the network resource information;

[0083] The angle at which the beam signal is sent can be determined according to the terminal position, and parameters such as the gain of the beam signal can be determined according to network resource information.

[0084] Step S104: Send a first beamforming signal to the user terminal based on the beamforming signal control strategy.

[0085] The embodiment of the present application can determine the beam signal control strategy according to the location of the user terminal and the network resource information of the base station, and send the first beam signal to the user terminal, so as to ensure that the user is in the coverage area of ​​the beam signal, greatly improve the signal transmission efficiency, optimize the signal distribution of the network, and enhance the user's communication experience.

[0086] In another embodiment of the present application, step S103 determines the bundled signal control strategy according to the terminal location information and the network resource information, including:

[0087] Step S201, determining the priority of the user terminal according to the terminal location information;

[0088] In an embodiment of the present application, step S201 determines the priority of the user terminal according to the terminal location information, including:

[0089] Step S301, obtaining first channel quality indication information of the user terminal;

[0090] In the embodiment of the present application, the first channel quality indication information includes: signal strength and / or interference status, etc. By acquiring the first channel quality indication information of the user terminal, the signal demand of the user terminal can be understood.

[0091] Step S302: determining the priority of the user terminal based on the terminal location information and the first channel quality indication information.

[0092] The base station obtains the geographic location through the positioning data of the user equipment (such as Round Trip Time (RTT), Received Signal Strength Indication (RSSI) or Channel State Information (CSI)), and determines the signal demand through the Channel Quality Indication (Continuous Quality Improvement, CQI). The user location is determined by an algorithm based on geometric measurement and triangulation positioning, and the user priority is dynamically calculated through signal feedback data (as shown in Formula 1) to identify the area that needs enhanced coverage.

[0093] User Priority P user＝ w1·CQI+w2·RSSI+w3 / distance formula 1

[0094] Among them, w1, w2, and w3 are weight coefficients, which are dynamically adjusted by the network status or machine learning model. Users with high priority will obtain greater signal coverage when resources are allocated. CQI is an indicator value of the user equipment to quantify the signal quality, and RSSI bits represent the numerical value of the signal strength.

[0095] Step S202: If the priority is a target priority, a cluster signal control strategy is determined according to the terminal location information and the network resource information.

[0096] The target priority can be high priority or medium priority, etc. If the priority of the user terminal is the same as the target priority corresponding to the current beam allocation, the beam signal control strategy can be determined based on the terminal location information and network resource information.

[0097] For example, in an intelligent office building, user terminals on different floors are connected to the same base station. The base station can determine the priority of each user terminal based on the terminal location information (such as whether the user is located on the 1st floor or the 10th floor) and the first channel quality indication information (such as signal strength or interference). For example, when a user is located in a corner with a weak signal and its channel quality is lower than that of other users, the base station sets its priority to a higher one to ensure that the user has priority in obtaining resources in the next beam allocation. The embodiments of the present application can optimize resource allocation, improve the experience of users in weak signal areas, and ensure overall network performance.

[0098] In another embodiment of the present application, step S202 determines the bundled signal control strategy according to the terminal location information and the network resource information, including:

[0099] Step S401, determining an optimal beam direction according to the terminal location information and the network resource information;

[0100] In this step, the base station can calculate the relative position of the user terminal and the base station based on the terminal location information, and calculate the "optimal beam direction" through a geometric algorithm to ensure that the beam is aligned with the vehicle position and obtain the optimal beam direction.

[0101] In one embodiment of the present application, the motion state information of the user terminal can also be obtained, and the position of the user terminal at the next moment can be predicted based on the motion state information (such as moving speed, moving direction), and the direction corresponding to the position of the user terminal at the next moment is determined as the optimal beam direction to ensure that the beam can continue to more accurately align with the vehicle position.

[0102] For example, for the driverless vehicle scenario, on the highway, an driverless car (terminal A) moves at a speed of 80 kilometers per hour. The terminal sends its own location information, including longitude and latitude information, speed information and direction information, to the base station in real time. The base station predicts the location of the user terminal at the next moment based on the longitude and latitude information, speed information and direction information, and determines the direction corresponding to the location of the user terminal at the next moment as the optimal beam direction, thereby achieving precise beam alignment of the driverless car, ensuring maximum data transmission rate (such as stable video data upload), and reducing interference to neighboring vehicles.

[0103] Based on the location information of terminal A, the base station calculates the relative position of its current location and the base station. The base station combines the channel state information to determine whether terminal A is interfered with by other vehicle signals. The base station calculates the "optimal beam direction" through a geometric algorithm to ensure that the beam is aligned with the vehicle position while avoiding interference from other vehicles. This achieves precise beam alignment for driverless cars, ensuring maximum data transmission rate (such as ensuring stable video data upload) while reducing interference to neighboring vehicles.

[0104] The base station can also determine whether the user terminal is interfered with by other vehicle signals based on the channel state information sent by the user terminal and combined with the channel state information. When the user terminal is interfered with by other vehicle signals, the base station combines interference suppression algorithms (such as minimum mean square error or zero forced beam) and dynamic spectrum allocation to allocate independent frequency bands to the target vehicle, ensuring the stability and anti-interference capability of data transmission, and achieving precise beam alignment and interference avoidance.

[0105] Step S402, determining a control parameter corresponding to the optimal beam direction;

[0106] Step S403: determining the cluster signal control strategy according to the control parameters.

[0107] In the embodiment of the present application, the base station can determine the optimal beam direction and the control parameters corresponding to the optimal beam direction in combination with the user's channel quality (such as CQI), service type and real-time interference situation, and generate a beam signal control strategy containing the control parameters to ensure that the beam signal is aimed at the user terminal and provide the best signal coverage for the user terminal. By optimizing the beam direction, channel selection and power allocation, it ensures that high-priority users obtain the best signal coverage, while reducing interference and improving resource utilization efficiency. These adjustment schemes are fed back to the beam control module in real time to execute the optimization strategy.

[0108] In another embodiment of the present application, the control parameter includes: an angle control parameter, and step S402 determines the control parameter corresponding to the optimal beam direction, including:

[0109] Step S501, obtaining the number of beams in the target area to be covered by beam signal enhancement;

[0110] Step S502, obtaining the amount of resources allocated to the user terminal and first channel quality indication information of the user terminal;

[0111] Step S503: Determine a beam weighting factor according to the number of beams, the amount of resources and the first channel quality indication information to serve as an angle control parameter in the control parameters.

[0112] Beam weighting factor

[0113] Among them, N is the target number of beams that the signal needs to cover, Ri is the amount of resources allocated to beam direction i, CQIi is the channel quality index of beam direction i, and Ci is the overhead required to allocate resources to beam direction i (such as power or spectrum resources).

[0114] The beams are dynamically allocated using a signal allocation algorithm based on weight priority. Signal allocation uses a dynamic programming algorithm (such as Formula 2) to calculate the optimal beam direction based on the user location and real-time network status; the beam weight matrix is ​​updated in real time through a convex optimization algorithm to ensure that the beam direction and strength can adapt to user needs and environmental changes.

[0115] For example, in a large stadium, the base station needs to optimize signal coverage for a specific area (such as the auditorium). In step S501, by obtaining the number of beams that need to be covered in the target area (for example, the auditorium is divided into several sub-areas, each sub-area requires a beam coverage), the base station dynamically allocates the number of beams according to the crowd distribution, terminal density and network requirements. For example, in a certain game, the audience distribution is concentrated in the south stands. The base station calculates that 5 beams are needed on the south side, while only 2 beams are needed on the north side, thereby accurately allocating resources to ensure that the network experience of the audience in the densely populated area is not affected.

[0116] In another embodiment of the present application, the control parameter includes: an intensity control parameter, and step S402 determines the control parameter corresponding to the optimal beam direction, including:

[0117] Step S601, obtaining the total number of propagation paths in the target area to be covered by beam signal enhancement;

[0118] Step S602, obtaining the power loss and signal power of the path where the user terminal is located;

[0119] Step S603: determining a signal gain index according to the signal power, power loss and the total number of propagation paths to serve as an intensity control parameter in the control parameters.

[0120] Signal gain index

[0121] Where Pi is the signal power of the i-th path, L(di) is the loss of the i-th path, and N is the total number of propagation paths.

[0122] The base station dynamically adjusts the signal beam propagation angle and strength through a multipath optimization algorithm (such as Formula 3). The path loss model is used to predict the optimal propagation direction, and the signal power distribution is optimized through multiple antennas to maximize the signal coverage and minimize energy waste. The algorithm is executed in the antenna array, and by collecting channel quality feedback from user devices, the optimal beamforming matrix is ​​dynamically calculated, and the weight matrix parameters are adjusted in real time.

[0123] For example, in a high-rise building, the base station needs to provide high-quality communication services to user terminals distributed in different floors and rooms. Due to the complex propagation environment inside the building (such as walls, glass and other obstacles), the number and quality of signal propagation paths will vary.

[0124] In step S601, the base station first obtains the total number of propagation paths in the target area. For example, the base station finds that there are 8 propagation paths in the building, including direct paths and multiple reflection paths (such as wall and ceiling reflection paths).

[0125] Next, in step S602, the base station further analyzes the specific characteristics of the path where the user terminal is located. For example, user A is in the central area of ​​the building, and its direct path power loss is small and the signal power is strong; while user B is in a remote room, and its direct path is blocked by the wall, and the power loss is large, and it mainly relies on the reflection path to receive the signal.

[0126] In step S603, the base station calculates the signal gain index by comprehensively considering the signal power, path power loss and total number of propagation paths of the user terminal. For example, for user A, since its direct path quality is good, its gain index requirement is lower; while for user B, a higher signal gain index is required to compensate for path loss and signal attenuation. Ultimately, these signal gain indicators will be used as strength control parameters in the control parameters to enhance signal coverage in the target area.

[0127] In another embodiment of the present application, the method further includes:

[0128] Step S701, obtaining user feedback data and location change information of the user terminal;

[0129] Step S702, determining a beam signal adjustment strategy according to the user feedback data and the position change information;

[0130] Step S703: Send a second beam signal to the user terminal based on the beam signal adjustment strategy.

[0131] For example, in a large stadium, the number of user terminals is dense and the distribution changes rapidly. For example, in the process of watching a concert, a large number of users are concentrated in the stands, but due to the stage performance interaction, some users may walk from the stands to the area near the stage, resulting in changes in user positions and signal demand distribution. Therefore, user feedback data and position change information of the user terminal can be obtained, and a beam signal adjustment strategy for adjusting parameters such as the angle and strength of the beam signal can be determined based on the user feedback data and the position change information. A second beam signal is sent to the user terminal based on the beam signal adjustment strategy to ensure that the adjusted beam signal can adapt to user needs and environmental changes.

[0132] In another embodiment of the present application, a signal bundling control device is also provided, which is applied to a base station, such as Figure 2 As shown, including:

[0133] A first acquisition module 11 is used to acquire terminal location information of a user terminal;

[0134] The second acquisition module 12 is used to obtain the current network resource information of the base station itself;

[0135] A first determination module 13, configured to determine a cluster signal control strategy according to the terminal location information and the network resource information;

[0136] The first sending module 14 is configured to send a first beamforming signal to the user terminal based on the beamforming signal control strategy.

[0137] Optionally, the first determining module includes:

[0138] A first determining unit, configured to determine the priority of the user terminal according to the terminal location information;

[0139] The second determining unit is used to determine the cluster signal control strategy according to the terminal location information and the network resource information if the priority is a target priority.

[0140] Optionally, the first determining unit includes:

[0141] An acquiring subunit, configured to acquire first channel quality indication information of the user terminal;

[0142] The first determining subunit is used to determine the priority of the user terminal based on the terminal location information and the first channel quality indication information.

[0143] Optionally, the second determining unit includes:

[0144] A second determining subunit, configured to determine an optimal beam direction according to the terminal location information and the network resource information;

[0145] A third determining subunit, configured to determine a control parameter corresponding to the optimal beam direction;

[0146] The fourth determining subunit is configured to determine the cluster signal control strategy according to the control parameter.

[0147] Optionally, the control parameter includes: an angle control parameter, and the third determining subunit is further used for:

[0148] Obtaining the number of beams in the target area to be covered by beam signal enhancement;

[0149] Acquire the amount of resources allocated to the user terminal and first channel quality indication information of the user terminal;

[0150] A beam weighting factor is determined according to the number of beams, the amount of resources and the first channel quality indication information to serve as an angle control parameter in the control parameters.

[0151] Optionally, the control parameter includes: an intensity control parameter, and the third determining subunit is further used for:

[0152] Obtain the total number of propagation paths in the target area to be covered by beam signal enhancement;

[0153] Obtaining power loss and signal power of a path where the user terminal is located;

[0154] A signal gain index is determined according to the signal power, power loss and the total number of propagation paths to serve as an intensity control parameter in the control parameters.

[0155] Optionally, the device further comprises:

[0156] A third acquisition module, used to acquire user feedback data and location change information of the user terminal;

[0157] A second determination module, configured to determine a beam signal adjustment strategy according to the user feedback data and the position change information;

[0158] The second sending module is configured to send a second beamforming signal to the user terminal based on the beamforming signal adjustment strategy.

[0159] In another embodiment of the present application, a base station device is further provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus;

[0160] Memory, used to store computer programs;

[0161] The processor is used to implement the signal bundling control method described in any of the above method embodiments when executing the program stored in the memory.

[0162] In the base station device provided by the embodiment of the present invention, the processor can determine the beam signal control strategy according to the location of the user terminal and the network resource information of the base station by executing the program stored in the memory, and send the first beam signal to the user terminal, thereby ensuring that the user can be in the coverage area of ​​the beam signal, greatly improving the signal transmission efficiency, optimizing the signal distribution of the network, and enhancing the user's communication experience.

[0163] The communication bus 1140 mentioned in the above base station device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0164] The communication interface 1120 is used for communication between the above-mentioned base station device and other devices.

[0165] The memory 1130 may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0166] The above-mentioned processor 1110 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0167] In another embodiment of the present application, a computer-readable storage medium is provided, on which a program of the signal beam control method is stored. When the program of the signal beam control method is executed by a processor, the steps of the signal beam control method described in any of the aforementioned method embodiments are implemented.

[0168] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0169] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A signal bundling control method, characterized in that: Applied to base stations, including: Obtaining terminal location information of a user terminal; Obtain the current network resource information of the base station itself; Determine a cluster signal control strategy according to the terminal location information and the network resource information; A first beamforming signal is sent to the user terminal based on the beamforming signal control strategy.

2. The signal bundling control method according to claim 1, characterized in that: Determining a cluster signal control strategy according to the terminal location information and the network resource information includes: Determining the priority of the user terminal according to the terminal location information; If the priority is a target priority, a cluster signal control strategy is determined according to the terminal location information and the network resource information.

3. The signal bundling control method according to claim 2, characterized in that: Determining the priority of the user terminal according to the terminal location information includes: Acquire first channel quality indication information of the user terminal; The priority of the user terminal is determined based on the terminal location information and the first channel quality indication information.

4. The signal bundling control method according to claim 2, characterized in that: Determining a cluster signal control strategy according to the terminal location information and the network resource information includes: Determine an optimal beam direction according to the terminal location information and the network resource information; determining a control parameter corresponding to the optimal beam direction; The cluster signal control strategy is determined according to the control parameter.

5. The signal bundling control method according to claim 4, characterized in that: The control parameters include: angle control parameters, and determining the control parameters corresponding to the optimal beam direction includes: Obtaining the number of beams in the target area to be covered by beam signal enhancement; Acquire the amount of resources allocated to the user terminal and first channel quality indication information of the user terminal; A beam weighting factor is determined according to the number of beams, the amount of resources and the first channel quality indication information to serve as an angle control parameter in the control parameters.

6. The signal bundling control method according to claim 4, characterized in that: The control parameters include: intensity control parameters, and determining the control parameters corresponding to the optimal beam direction includes: Obtain the total number of propagation paths in the target area to be covered by beam signal enhancement; Obtaining power loss and signal power of a path where the user terminal is located; A signal gain index is determined according to the signal power, power loss and the total number of propagation paths to serve as an intensity control parameter in the control parameters.

7. The signal bundling control method according to claim 1, characterized in that: The method further comprises: Acquiring user feedback data and location change information of the user terminal; Determine a beam signal adjustment strategy according to the user feedback data and the position change information; Send a second beam signal to the user terminal based on the beam signal adjustment strategy.

8. A signal bundling control device, characterized in that: Applied to base stations, including: A first acquisition module, used to acquire terminal location information of a user terminal; The second acquisition module is used to acquire the current network resource information of the base station itself; A first determination module, configured to determine a cluster signal control strategy according to the terminal location information and the network resource information; The first sending module is configured to send a first beamforming signal to the user terminal based on the beamforming signal control strategy.

9. A base station device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; The processor is used to implement the signal bundling control method described in any one of claims 1 to 7 when executing the program stored in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program of the signal beam control method, and when the program of the signal beam control method is executed by a processor, the steps of the signal beam control method according to any one of claims 1 to 7 are implemented.

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