Cellular-network-free access point deployment method and related equipment

Abstract

The invention provides a cellular-free network access point deployment method and related equipment, and relates to the technical field of wireless communication. The method comprises the steps that a target area of a to-be-deployed cellular-network-free access point is divided into a first area and a second area, the first area is an area containing at least one fixed device, and the second area is an area containing at least one mobile device; deploying one or more non-cellular network access points in the first area according to the number and the position distribution condition of the fixed devices in the first area and the signal propagation attribute information of the non-cellular network access points to be deployed; and deploying one or more non-cellular network access points in the second area according to the moving path information of the mobile device in the second area and the signal attribute information of the to-be-deployed non-cellular network access points. According to the invention, effective support for multi-terminal concurrent services is realized, and diversified service requirements for high reliability, low delay and high bandwidth requirements in an industrial environment are met at the same time.

Description

Background Art

[0002] Cell-free technology is an emerging wireless access architecture aimed at overcoming the limitations of traditional cellular networks. Traditional cellular networks improve system capacity by reducing cell radius and increasing base station density, but this approach leads to severe inter-cell interference and cannot provide a stable network throughput rate due to the impact of cell-edge effects. Cell-free technology is a mobile communication system based on distributed Multiple-Input Multiple-Output (MIMO) technology with dynamic resource allocation, enabling each antenna unit or access point (AP) within the coverage area to use the same frequency configuration and eliminating interference through joint processing, thereby enhancing the system's spectral efficiency and network throughput rate.

[0003] Currently, the design of cell-free networks mainly targets the consumer scenario (To Consumer, toC) to ensure that users can obtain stable and high-quality network services during movement. Existing cell-free network deployment solutions usually emphasize the seamless experience of users and high system capacity, and it is difficult to meet the requirements of multi-terminal concurrent services and diverse high-demand services in industrial environments.

[0004] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0005] The present disclosure provides a method for deploying cell-free network access points and related devices, which can meet the requirements of multi-terminal concurrent services and diverse high-demand services in industrial environments.

[0006] Other features and advantages of the present disclosure will become apparent through the following detailed description, or will be learned in part through the practice of the present disclosure.

[0007] According to one aspect of the present disclosure, there is provided a method for deploying cell-free network access points, the method including: dividing a target area where cell-free network access points are to be deployed into a first area and a second area, where the first area is an area containing at least one fixed device, and the second area is an area containing at least one mobile device; deploying one or more cell-free network access points within the first area according to the number and location distribution of fixed devices within the first area and the signal propagation attribute information of the cell-free network access points to be deployed; and deploying one or more cell-free network access points within the second area according to the movement path information of mobile devices within the second area and the signal attribute information of the cell-free network access points to be deployed.

[0008] In some embodiments, deploying one or more cell-free network access points in the first region according to the quantity and location distribution of fixed devices in the first region and the signal propagation attribute information of the to-be-deployed cell-free network access points includes: determining a first spacing and a first quantity of the cell-free network access points according to the quantity and location distribution of fixed devices in the first region and the signal propagation attribute information of the to-be-deployed cell-free network access points; and deploying one or more cell-free network access points in the first region according to the first spacing and the first quantity.

[0009] In some embodiments, determining the first spacing and the first quantity of the cell-free network access points according to the quantity and location distribution of fixed devices in the first region and the signal propagation attribute information of the to-be-deployed cell-free network access points includes: inputting the signal propagation attribute information of the to-be-deployed cell-free network access points into a pre-trained first signal propagation model to output a first coverage range value of the cell-free network access points; and calculating the first spacing and the first quantity of the cell-free network access points according to the quantity and location distribution of fixed devices in the first region and the first coverage range value of the cell-free network access points.

[0010] In some embodiments, the first signal propagation model is constructed according to the first facility configuration information of the first region, and the first facility configuration information includes at least one of the following: the material, shape, and location of facilities in the first region.

[0011] In some embodiments, the method further includes: obtaining the service type of the fixed device and the first communication resource information of one or more cell-free network access points deployed in the first region; and allocating communication resources for the fixed device according to the service type of the fixed device and the first communication resource information.

[0012] In some embodiments, the service type of the fixed device includes a control service and a detection service, and allocating communication resources for the fixed device according to the service type of the fixed device and the first communication resource information includes: when the service type of the fixed device is a control service, allocating exclusive time slot resources for the fixed device based on the first communication resource information; and when the service type of the fixed device is a detection service, allocating bandwidth and time slot resources for the fixed device based on the first communication resource information and the uplink transmission rate of the fixed device.

[0013] In some embodiments, when the service type of the fixed device is a control service, allocating exclusive time slot resources for the fixed device includes: obtaining the frequency at which the fixed device sends control instructions; when the frequency at which the fixed device sends control instructions is greater than or equal to a preset threshold, allocating exclusive time slot resources for the fixed device for a first duration; when the frequency at which the fixed device sends control instructions is less than the preset threshold, allocating exclusive time slot resources for the fixed device for a second duration, where the first duration is less than the second duration.

[0014] In some embodiments, deploying one or more cell-free network access points in the second region according to the movement path information of the mobile devices in the second region and the signal attribute information of the cell-free network access points to be deployed includes: obtaining the historical operation trajectory data of the mobile devices in the second region; determining the operation paths of the mobile devices and the number of mobile devices on the operation paths according to the historical operation trajectory data of the mobile devices; and deploying one or more cell-free network access points in the second region according to the operation paths of the mobile devices, the number of mobile devices on the operation paths, and the signal attribute information of the cell-free network access points to be deployed.

[0015] In some embodiments, deploying one or more cell-free network access points in the second region according to the operation paths of the mobile devices, the number of mobile devices on the operation paths, and the signal attribute information of the cell-free network access points to be deployed includes: inputting the signal attribute information of the cell-free network access points to be deployed into a pre-trained second signal propagation model to output a second coverage range value of the cell-free network access points; calculating according to the operation paths of the mobile devices, the number of mobile devices on the operation paths, and the second coverage range value of the cell-free network access points to obtain a second spacing and a second number of the cell-free network access points; and deploying one or more cell-free network access points in the second region according to the second spacing and the second number of the cell-free network access points.

[0016] In some embodiments, the second signal propagation model is constructed according to the second facility configuration information of the second region, and the second facility configuration information includes at least one of the following: the material, shape, and position of the facilities in the second region.

[0017] In some embodiments, the method further includes: obtaining the status information of the mobile devices and the second communication resource information of one or more cell-free network access points deployed in the second region; and inputting the status information of the mobile devices and the second communication resource information into a pre-trained resource allocation model to output a resource allocation strategy for the mobile devices.

[0018] In some embodiments, the status information includes the number of mobile devices, and obtaining the status information of the mobile devices includes: obtaining the number of historical mobile devices in the second region; and predicting the number of mobile devices based on the number of historical mobile devices.

[0019] According to another aspect of the present disclosure, there is also provided a device for deploying a cell-free network access point. The device includes: a partitioning module configured to partition a target region where a cell-free network access point is to be deployed into a first region and a second region, where the first region is a region containing at least one fixed device, and the second region is a region containing at least one mobile device; a first deployment module configured to deploy one or more cell-free network access points within the first region according to the number and location distribution of fixed devices in the first region and the signal propagation attribute information of the cell-free network access points to be deployed; and a second deployment module configured to deploy one or more cell-free network access points within the second region according to the movement path information of mobile devices in the second region and the signal attribute information of the cell-free network access points to be deployed.

[0020] According to another aspect of the present disclosure, there is also provided an electronic device, which includes: a processor; and a memory configured to store executable instructions of the processor; wherein the processor is configured to execute the cell-free network access point deployment method according to any one of the above by executing the executable instructions.

[0021] According to another aspect of the present disclosure, there is also provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the cell-free network access point deployment method according to any one of the above.

[0022] According to another aspect of the present disclosure, there is also provided a computer program product, including: a computer program or instruction, and when the computer program or instruction is executed by a processor, it implements the cell-free network access point deployment method according to any one of the above.

[0023] The method and related devices for deploying a cell-free network access point provided in the embodiments of the present disclosure. The method includes: dividing a target area where a cell-free network access point is to be deployed into a first area and a second area, where the first area is an area containing at least one fixed device, and the second area is an area containing at least one mobile device; deploying one or more cell-free network access points in the first area according to the number and location distribution of the fixed devices in the first area, and the signal propagation attribute information of the cell-free network access points to be deployed; deploying one or more cell-free network access points in the second area according to the movement path information of the mobile devices in the second area and the signal attribute information of the cell-free network access points to be deployed. The present disclosure divides the target area into a first area containing at least one fixed device and a second area containing at least one mobile device, and performs targeted deployment according to the number, location distribution, and movement path information of the devices in each area and the signal propagation attributes of the access points, realizing effective support for multi-terminal concurrent services, and at the same time meeting the diverse service requirements for high reliability, low latency, and high bandwidth in the industrial environment.

[0024] Furthermore, this deployment strategy not only improves the overall performance of the network, but also particularly enhances the support ability for different application scenarios, thus overcoming the problem of poor adaptability of traditional cell-free network solutions in complex industrial scenarios.

[0025] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0027] Figure 1 The schematic diagram of the system architecture showing a method for deploying a cell-free network access point in an embodiment of the present disclosure; Figure 2 The flowchart showing a method for deploying a cell-free network access point in an embodiment of the present disclosure; Figure 3 The flowchart showing a method for deploying one or more cell-free network access points in the first area in an embodiment of the present disclosure; Figure 4 The flowchart showing a method for deploying one or more cell-free network access points in the second area in an embodiment of the present disclosure; Figure 5A flowchart showing a resource allocation method in an embodiment of the present disclosure; Figure 6 A flowchart showing another resource allocation method in an embodiment of the present disclosure; Figure 7 A schematic diagram of a cell-free network access point deployment device in an embodiment of the present disclosure; Figure 8 A block diagram showing the structure of an electronic device in an embodiment of the present disclosure. Detailed implementation manners

[0028] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The features, structures, or characteristics described may be combined in any suitable manner in one or more embodiments.

[0029] In addition, the drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0030] For ease of understanding, before introducing the embodiments of the present disclosure, several terms involved in the embodiments of the present disclosure are explained as follows: Multiple-Input Multiple-Output (MIMO): A wireless communication technology that uses multiple antennas to transmit and receive signals simultaneously on the same frequency band. In a MIMO system, the transmitting end is configured with multiple transmitting antennas, and the receiving end is correspondingly configured with multiple receiving antennas. In this way, the system can transmit multiple data streams at the same time, achieving spatial multiplexing. Spatial multiplexing enables the wireless channel to carry multiple independent data streams simultaneously, thus significantly enhancing the capacity of the communication system. At the same time, since multiple data streams share the same frequency band, MIMO can also effectively improve the spectral efficiency, making wireless communication more efficient and reliable.

[0031] Access Point (AP): A device that enables terminals to access the network wirelessly. One end of the cell-free network access point is connected to terminal devices, which send wireless signals to communicate with the AP through built-in wireless network cards; the other end is connected to a wired network (such as a broadband network, etc.). In scenarios such as enterprises or factories, there are dedicated AP devices that can be set with different frequency bands, encryption methods, etc. to meet the access needs of numerous terminals and ensure network security.

[0032] Central Processing Unit (CPU): Its main function is to execute computer instructions and process data. The CPU consists of an arithmetic unit, a controller, and registers, etc. The arithmetic unit is responsible for performing arithmetic and logical operations; the controller commands the various components of the computer to work in coordination and complete various operations according to the instructions; the registers are used to temporarily store information such as instructions, data, and addresses. The performance indicators of the CPU include the main frequency, the number of cores, the cache size, etc. The higher the main frequency, the more cores, and the larger the cache, the faster the computing speed is usually.

[0033] Automated Guided Vehicle (AGV): An unmanned automated vehicle. It travels by means of automatic guiding devices such as magnetic strips, tracks, or lasers, which can guide the AGV to move along a pre-planned path. Powered by a battery, it can operate flexibly. The equipped safety protection devices ensure its safe operation and avoid dangers such as collisions. Auxiliary mechanisms such as load transfer and assembly mechanisms expand its functions. For example, it can perform cargo load transfer in the logistics scenario and complete simple assembly work on the production line. In short, the AGV integrates a variety of technical devices and, relying on a preset path, specific power, safety protection, and auxiliary mechanisms, realizes functions such as automated transportation and operation in the fields of industry, logistics, etc.

[0034] The following will describe in detail the specific implementation manners of the embodiments of the present disclosure with reference to the accompanying drawings. Figure 1 The schematic diagram of an exemplary application system architecture in which the cell-free network access point deployment method in the embodiments of the present disclosure can be applied is shown. As Figure 1 shown, the system architecture may include a user terminal 101, a cell-free network access point 102, and a core network device 103.

[0035] The cell-free network access point 102 is used to connect the user terminal 101 to the core network device 103 through a wireless link (as Figure 1 schematically shown by the dotted line part in).

[0036] The user terminal 101 can be various electronic devices, including but not limited to devices such as smart phones and tablet computers that can use a cell-free communication system.

[0037] The core network device 103 is responsible for processing communication requests from the cell-free network access points. The Access and Mobility Management Function (AMF), User Plane Function (UPF), and router are all key devices in the core network, responsible for access control, data processing, data forwarding, and other functions respectively. It should be noted that the cell-free network access point 102 and the core network device 103 can communicate through an optical fiber link (as shown by the solid line part in Figure 1 ).

[0038] Those skilled in the art can understand that Figure 1 the number of user terminals, cell-free network access points, and core network devices in is only illustrative. According to actual needs, there can be any number of user terminals, cell-free network access points, and core network devices, and the embodiments of the present disclosure do not limit this.

[0039] Figure 2 shows a flowchart of a method for deploying a cell-free network access point in an embodiment of the present disclosure. As shown in Figure 2 , the method for deploying a cell-free network access point provided in the embodiment of the present disclosure includes the following steps: S202, divide the target area where the cell-free network access point to be deployed is located into a first area and a second area, where the first area is an area containing at least one fixed device, and the second area is an area containing at least one mobile device.

[0040] In this embodiment, taking the factory production scenario as an example, the target area is the factory. The first area (also called the fixed device area) refers to the area containing industrial terminal devices with fixed positions (such as robotic arms, Automated Optical Inspection (AOI) devices). Such terminals are usually deployed at fixed workstations on the production line and have quasi-static channel state characteristics (slow change of channel parameters) and deterministic service requirements (such as the robotic arm control signal requires a latency of <5 ms, and AOI inspection requires a bandwidth of >1 Gbps). The second area (also called the mobile device area) refers to the area containing mobile industrial terminal devices (such as AGVs, inspection robots). Such devices move along a preset path, and the channel state is time-varying due to the Doppler effect, and the service requirement priority changes dynamically with tasks (for example, the emergency obstacle avoidance instruction of an AGV requires preemptive resource scheduling). To adapt to such scenarios, the deployment in the mobile device area needs to balance dynamic coverage and energy efficiency optimization.

[0041] Specifically, the scope and location of the fixed equipment area (the first area) can be determined through the factory layout drawings and the distribution information of fixed equipment. Among them, the factory layout drawings are a graphical representation of the overall factory planning. It includes the planning of each area in the factory, such as the layout arrangements of the production area, storage area, office area, etc., as well as the planning directions of facilities such as roads and passageways. The fixed equipment distribution information refers to the relevant information of the equipment in the factory that is relatively fixed in position and not easily movable (such as large production machines, fixed storage racks, etc.), including the area where the equipment is located, the occupied space size, etc. Based on the overall planning framework of the factory layout drawings, combined with the specific equipment positions and other situations in the fixed equipment distribution information, the area (scope) for placing these fixed equipment is clarified, as well as the specific location of this area in the factory.

[0042] Similarly, the scope and location of the mobile equipment area (the second area) can be determined through the logistics planning information of the factory and the operation trajectory data of mobile equipment such as AGVs. The logistics planning information is the prior arrangement of the factory for logistics operations, including the planning contents such as the storage of materials, handling routes, loading and unloading positions, etc. It can provide the overall logistics layout framework, such as the functional division of different areas, the main logistics channel directions, etc. The AGV moves and transports goods in the factory according to the set route, and its operation trajectory data records the path it has traveled, the docking stations and other information. Through the logistics planning information, it is possible to know which areas are related to logistics handling under the overall layout, and then combined with the AGV operation trajectory data, the scope where mobile equipment such as AGVs frequently moves can be clarified, so as to determine the specific scope and location of the mobile equipment area (the second area).

[0043] S204, deploy one or more cell-free network access points in the first area according to the quantity and location distribution of the fixed equipment in the first area, and the signal propagation attribute information of the cell-free network access points to be deployed.

[0044] In this embodiment, the cell-free network access point refers to a device that can provide wireless network connection for devices, different from traditional cellular networks (such as 4G, 5G base stations), such as a Wi-Fi router. The fixed equipment refers to the equipment with a relatively fixed position and not easily movable. The quantity and location distribution of the fixed equipment will affect the deployment of network access points. For example: in terms of quantity, if there are many fixed equipment, more network access points are needed to meet the device networking needs, otherwise network congestion is likely to occur; in terms of location distribution, if the fixed equipment is concentrated, the access points can be set centrally; if they are dispersed, the access points also need to be dispersed accordingly to ensure that each device can obtain a stable network signal. The signal propagation attribute information can include characteristic data such as signal strength, coverage range, transmission rate, etc., which can be used to determine the optimal deployment position and quantity of the access points.

[0045] Specifically, taking the factory production scenario as an example, in the fixed equipment area (the first area) with a high density of fixed equipment such as robotic arms, a high-density cell-free network access point needs to be deployed.

[0046] In some embodiments, to overcome the challenges of the environment in the first area, such as a large number of physical obstacles and severe radio wave reflections, a combination of millimeter-wave frequency band and beamforming technology is used when deploying the high-density cell-free network access point. Among them, the millimeter-wave frequency band can provide a high data transmission rate suitable for automated production lines with a large amount of data interaction. However, the millimeter-wave frequency band may not be sufficient to cover the entire target area. Therefore, the beamforming technology can effectively send signals in a directional manner, bypass obstacles, and improve signal quality. The beamforming technology is to adjust parameters such as the signal phase of multiple antenna units so that the emitted wireless signal forms a relatively concentrated beam in a specific direction.

[0047] S206. According to the movement path information of the mobile devices in the second area and the signal attribute information of the cell-free network access points to be deployed, deploy one or more cell-free network access points in the second area.

[0048] In this embodiment, the mobile device refers to a movable electronic device, such as a mobile phone, an AGV (Automated Guided Vehicle), etc., which can send and receive signals. The second area is the area where the mobile devices operate. The cell-free network access points in the second area can specifically be cell-free network access points in the Sub-6GHz frequency band. The Sub-6GHz frequency band refers to the radio wave frequency band with a frequency lower than 6GHz. The signals in this frequency band have a longer propagation distance and stronger penetration ability, and are suitable for providing wide coverage and stable network connections. The movement path information refers to relevant information such as the movement trajectory of the mobile device in the area, specifically including the areas and sections where the mobile device frequently appears, and the traffic change situation at different time periods. The signal attribute information is the relevant attribute information such as the signal strength, frequency band, and coverage range of the cell-free network access point signal. Deploy the cell-free network access points according to the signal attribute information to ensure the service continuity of the mobile devices.

[0049] In this embodiment, when allocating resources, the mobile characteristics of the terminals and the service requirements are taken into account for zonal deployment to ensure diverse service requirements.

[0050] Figure 3 The flowchart of a method for deploying one or more cell-free network access points in the first area in an embodiment of the present disclosure is shown. As Figure 3 shown, the method for deploying one or more cell-free network access points in the first area according to the quantity and location distribution of the fixed equipment in the first area and the signal propagation attribute information of the cell-free network access points to be deployed provided in the embodiment of the present disclosure includes the following steps: S302. Determine the first spacing and the first quantity of the cell-free network access points according to the quantity and location distribution of the fixed devices in the first area and the signal propagation attribute information of the cell-free network access points to be deployed.

[0051] It should be noted that according to different service types, fixed devices can be divided into fixed devices with control services and fixed devices with detection services. For fixed devices with control services, the control services require high reliability and low latency. The signal coverage between cell-free network access points needs to meet this requirement, that is, the signals of the cell-free network access points should be stable, without interruption, and the transmission delay should be extremely small to ensure that control instructions can be transmitted in a timely and accurate manner, such as the transmission of control instructions in industrial automation. For fixed devices with detection services, the detection services require high bandwidth. The signal coverage between cell-free network access points should ensure sufficient bandwidth because the detection services may involve the rapid transmission of a large amount of data, such as the detection data of high-definition videos and the backhaul of a large number of sensor detection data. Only by meeting the high-bandwidth requirements can the detection data be transmitted smoothly.

[0052] In some embodiments, the millimeter wave band has the characteristics of large bandwidth and high transmission rate, which can better meet the high-bandwidth requirements of detection services and can also take into account the low-latency requirements of control services through planning. Therefore, millimeter waves can be selected for the signals in the first area.

[0053] In some embodiments, determining the first spacing and the first quantity of the cell-free network access points according to the quantity and location distribution of the fixed devices in the first area and the signal propagation attribute information of the cell-free network access points to be deployed includes: inputting the signal propagation attribute information of the cell-free network access points to be deployed into a pre-trained first signal propagation model to output the first coverage range value of the cell-free network access points; calculating according to the quantity and location distribution of the fixed devices in the first area and the first coverage range value of the cell-free network access points to obtain the first spacing and the first quantity of the cell-free network access points.

[0054] In this embodiment, the first signal propagation model is a mathematical model for describing signal propagation characteristics. Millimeter-wave propagation models such as the free-space propagation model (suitable for unobstructed free-space environments) and the modified Hata-Cost231 model (considering the impact of factors such as buildings on signal propagation) can be selected. By inputting the signal propagation attribute information of the cell-free network access points to be deployed, the first signal propagation model can calculate and output the coverage range value of a single cell-free network access point, that is, the effective coverage range of a single cell-free network access point. The first spacing refers to the distance between adjacent access points, and the density refers to the number of access points per unit area. It can be understood that if there are many fixed devices with a dense distribution or the signal propagation of the access points is weak, a smaller spacing and a higher density may be required; otherwise, the spacing can be appropriately increased and the density can be reduced.

[0055] Taking the free-space propagation model as an example, by testing the statistical data of non-line-of-sight path loss, shadow fading, and multipath fading caused by obstacles in the factory environment, such as walls and columns, and superimposing them on the free-space model, a propagation model for a specific environment can be formed. The following is a path loss formula for a free-space propagation model provided in this embodiment:

[0056] where L represents path loss in dB; d represents the transmission distance in km; f represents the frequency in MHz.

[0057] Further, setting the path loss threshold as L th , then the effective coverage distance d eff can be obtained by inverse deduction from the propagation model formula.

[0058] When determining the first spacing and the first number of cell-free network access points, first deploy 1 AP (abbreviated as the central AP) at the center of the first area. According to the propagation model, the signal strength Si received by the i-th fixed device from this AP can be obtained; then, each fixed device has a preset rate threshold r th , from the Shannon channel capacity formula , where r represents the data transmission rate in bps; B represents the channel bandwidth in Hz; S represents the received signal strength in dBm or W; N represents the noise power in dBm or W, the minimum signal strength S min1 that meets the rate threshold can be deduced (the bandwidth B in the Shannon channel capacity formula is determined in advance, such as 100 MHz, and the noise intensity N in the formula is selected as Gaussian noise); again, at the edge of the circle with the central AP as the center and d x as the radius, , d eff1It represents the effective coverage range of the central AP. Deploy 2a APs at equal intervals, and calculate the signal strength S received by the i-th fixed device. i (a), Iteratively deploy until S i (a) ≥ S min1 , The value of a starts from 1, and the value of a increases by 1 in each iteration. (For example, in the first iteration, a = 1, and 2 APs need to be deployed in addition to the central AP; when a = 2, 4 APs need to be deployed in addition to the central AP); Repeat the above process for each fixed device until the signal strength of all fixed devices is greater than S min1 .

[0059] In some embodiments, the first signal propagation model is constructed according to the first facility configuration information of the first region, and the first facility configuration information includes at least one of the following: the material, shape, and position of the facilities in the first region.

[0060] In this embodiment, the first facility configuration information covers various characteristics of the facilities in the first region. For example, the material (different materials have different reflections and absorptions of signals), shape (affects the signal propagation path), position (determines the distance and direction relationship of signal propagation), and may also include the atmospheric absorption coefficient in the environment, etc.

[0061] Specifically, the factory environment has its specific parameters. For example, the materials of the obstacles (such as metals and plastics have different effects on millimeter waves), and the shapes (irregular shapes will complexly change the signal direction). By combining these parameters to construct a millimeter wave signal propagation model for the factory environment, the propagation characteristics of millimeter waves in the factory environment can be better described. Considering that the terminal positions in the first region are fixed and the channel state is quasi-static, the millimeter wave propagation model needs to mainly consider the deterministic path loss and static multipath effects. Therefore, millimeter wave propagation models such as the modified indoor ray tracing model and the quasi-static blockage model can be selected.

[0062] S304, Deploy one or more cell-free network access points in the first region according to the first spacing and the first quantity.

[0063] In this embodiment, deploy one or more cell-free network access points in the first region according to the determined first spacing and the first quantity. It should be noted that when configuring each cell-free network access point, beamforming technology can be used to concentrate the signal transmission to the fixed location, so as to achieve a communication link with ultra-low latency or high bandwidth.

[0064] In this embodiment, by deploying cell-free network access points in the first region based on the characteristic information of the fixed devices, the cell-free network access points can reasonably cover the region, ensure good network signals, and avoid situations such as signal blind spots or excessive overlap resulting in resource waste.

[0065] Figure 4The flowchart of a method for deploying one or more cell-free network access points inside a second area in an embodiment of the present disclosure is shown. As Figure 4 shown, the method for deploying one or more cell-free network access points inside a second area according to the movement path information of mobile devices in the second area and the signal attribute information of the cell-free network access points to be deployed in an embodiment of the present disclosure includes the following steps: S402, obtain the historical operation trajectory data of the mobile devices in the second area.

[0066] In this embodiment, obtaining the historical operation trajectory data of mobile devices (such as AGVs) may specifically include information such as the starting point, ending point, key nodes passed through, and driving direction. The historical operation trajectory data of mobile devices contains mobile feature information, specifically including: spatio-temporal dimension data: precise position coordinates of the device at different time points are collected through sensors built into the device or a plant positioning system to form a spatio-temporal trajectory sequence. Operation feature parameters: record the starting and ending point coordinates of each task, key nodes passed through (such as charging stations, loading and unloading points, intersections, etc.), and dynamic information such as the corresponding driving direction and speed change curve. Task-related data: associate the trajectory data with the work order system to obtain business attributes such as task type, cargo status, and priority. These data help to understand the path selection logic in different scenarios.

[0067] S404, determine the operation path of the mobile devices and the number of mobile devices on the operation path according to the historical operation trajectory data of the mobile devices.

[0068] In this embodiment, big data analysis technology can be used to deeply mine the historical operation trajectory data. For example, perform path clustering analysis on the historical operation trajectory data. For example, use the density clustering algorithm to perform spatial clustering on the trajectory points in the historical operation trajectory data to identify the operation path of the mobile devices. It is also possible to cluster to obtain spatio-temporal regular path patterns by setting time windows (such as dividing by shifts or hourly periods). Another example is to use the historical operation trajectory data for path topology modeling: convert the discrete trajectory into a directed graph structure, where the nodes represent key position points and the edge weights reflect the passing frequency. Use graph theory algorithms (such as shortest path analysis) to verify the coincidence degree between the actual path and the theoretical optimal path. It is also possible to construct a spatio-temporal cube model to perform traffic analysis from multiple dimensions, specifically including: spatial dimension: count the device passing density of each path segment; time dimension: analyze the traffic fluctuation characteristics during peak hours; business dimension: associate the path usage differences under different production beats. Specifically, through the analysis of the historical operation trajectory data by big data analysis technology, visual analysis results including path heat maps, period traffic distribution matrices, core path lists (sorted by usage frequency), etc. can be output, providing a quantitative basis for the subsequent deployment of cell-free network access points.

[0069] S406. Deploy one or more cell-free network access points within the second region according to the running path of the mobile device, the number of mobile devices on the running path, and the signal attribute information of the cell-free network access points to be deployed.

[0070] In this embodiment, when the mobile device is moving, it continuously searches for signals. If the coverage areas of the cell-free network access points do not overlap, when the device moves from the coverage range of one cell-free network access point to another, signal interruption may occur, resulting in discontinuous services. Therefore, when deploying cell-free network access points in the second region, the signal coverage areas between adjacent cell-free network access points should overlap with each other to ensure service continuity during the movement of the mobile device. For example, for two adjacent APs, AP1 and AP2, the edges of the effective coverage distances of AP1 and AP2 overlap, that is, the sum of the effective coverage distances of AP1 and AP2 is greater than the distance between AP1 and AP2. With the overlapping area, the device can establish a connection with the next cell-free network access point in advance during the movement, realizing smooth signal switching, so as to ensure that services such as the network will not suddenly interrupt during the movement, always maintaining continuity and enabling the mobile device to continue running.

[0071] It should be noted that on the one hand, the power consumption of the mobile device is considered. The Sub-6GHz band is relatively low, and when transmitting the same amount of data, the power consumption is lower, which is beneficial to the battery life of the mobile device. On the other hand, signal coverage and penetration are considered. The signal coverage range of the Sub-6GHz band is relatively large, and the penetration ability is relatively strong. In the second region, selecting cell-free network access points in the Sub-6GHz band can ensure stable connection of the mobile device and obtain better signal strength and communication quality. It can be understood that the signal selection in the second region can also be other similar band signals, and the present disclosure does not limit this.

[0072] In this embodiment, similar to selecting millimeter waves suitable for fixed devices in the first region, select cell-free network access points in the Sub-6GHz band suitable for mobile devices in the second region, and deploy them in a hybrid manner with millimeter waves and the Sub-6GHz band to adapt to the mobility characteristics and service requirements of different terminals.

[0073] In some embodiments, one or more cell-free network access points are deployed within a second region according to the running path of a mobile device, the number of mobile devices on the running path, and the signal attribute information of the cell-free network access points to be deployed, including: inputting the signal attribute information of the cell-free network access points to be deployed into a pre-trained second signal propagation model to output a second coverage range value of the cell-free network access points; calculating according to the running path of the mobile device, the number of mobile devices on the running path, and the second coverage range value of the cell-free network access points to obtain a second spacing and a second number of the cell-free network access points; and deploying one or more cell-free network access points within the second region according to the second spacing and the second number of the cell-free network access points.

[0074] In some embodiments, the second signal propagation model is constructed according to the second facility configuration information of the second region, and the second facility configuration information includes at least one of the following: the material, shape, and position of the facilities in the second region.

[0075] In this embodiment, for the time-varying channel characteristics of the mobile device area, the second signal propagation model needs to capture the dynamic multipath evolution and Doppler effect. Therefore, the second signal propagation model can use a geometric time-varying channel model or a dynamic double-slope path loss model. Inputting the signal attribute information of the cell-free network access points to be deployed into the pre-trained second signal propagation model, the second signal propagation model calculates the path loss and the influence of obstacles and outputs the second coverage range value of a single cell-free network access point, that is, the second effective coverage range.

[0076] In some embodiments, taking the factory scenario as an example, the number of mobile devices that may appear in the second region can be estimated through the historical running trajectory data of mobile devices (such as AGVs, automated guided forklifts, etc.), and / or according to the production plan and logistics requirements of the factory, the number of mobile devices that may appear in the second region can be estimated. The position of the cell-free network access points is determined according to the maximum value of the estimated number of mobile devices and the signal propagation characteristics of the Sub-6GHz frequency band.

[0077] Specifically, according to the maximum value of the estimated number of mobile devices and the second coverage range value of a single cell-free network access point, the deployment density of the cell-free network access points is determined. First, set the proportion α of the overlapping area of the second region, and the value of α ranges from 0 to 1; the spacing between adjacent APs is , where d eff2 represents the effective coverage range of a single AP, and APs are deployed equidistantly along the mobile device path at this spacing; calculate the signal strength S j received by the mobile device at each position on its path and the minimum signal strength S min2 that the mobile device satisfies the rate threshold. If Sj is less than S min2, then deploy 1 additional AP between adjacent APs in the previous step; continuously add APs until S j is less than or equal to S min2 . In this embodiment, in areas with a large number of devices, the density of the cell-free network access points is increased to meet the high traffic demand; in areas with a small number of devices, the number of cell-free network access points is reduced to lower the deployment cost.

[0078] In this embodiment, by deploying cell-free network access points based on the characteristic information of mobile devices in the second area, the cell-free network access points can reasonably cover the area, ensure good network signals, and avoid situations such as signal blind spots or excessive overlap resulting in wasted resources.

[0079] In some embodiments, considering the different resource requirements of fixed devices and mobile devices, the embodiments of the present disclosure also provide a resource allocation method. In the communication resource allocation method provided by the present disclosure, the fixed device resource allocation includes time slot pre-configuration and optimization to meet the low latency requirements of control service terminals such as robotic arms and the high bandwidth requirements of detection service terminals such as AOI. The mobile device resource allocation adopts dynamic resource allocation based on reinforcement learning and performs resource reservation based on user number prediction to schedule network resources in advance to meet the service requirements of mobile devices.

[0080] Figure 5 The flowchart showing a resource allocation method in the embodiments of the present disclosure is as Figure 5 shown. The resource allocation method provided in the embodiments of the present disclosure includes the following steps: S502, obtain the service type of the fixed device and the first communication resource information of one or more cell-free network access points deployed in the first area.

[0081] In this embodiment, the first communication resource information refers to the communication resource-related information of one or more cell-free network access points deployed in the first area, such as bandwidth, frequency band, and transmit power, etc.

[0082] S504, allocate communication resources for the fixed device according to the service type of the fixed device and the first communication resource information.

[0083] In this embodiment, the service type of the fixed device refers to the specific tasks or functions performed by the fixed device, such as the control service of the robotic arm, the detection service of AOI, etc. The communication resource allocation refers to reasonably allocating communication resources, such as time slots, bandwidth, etc., according to the device service type and communication resource information.

[0084] In some embodiments, the service types of the fixed devices include control services and detection services. According to the service types of the fixed devices and the first communication resource information, communication resource allocation for the fixed devices is performed, including: when the service type of the fixed device is a control service, exclusive time slot resources are allocated to the fixed device based on the first communication resource information; when the service type of the fixed device is a detection service, bandwidth and time slot resources are allocated based on the first communication resource information and the uplink transmission rate of the fixed device.

[0085] In this embodiment, for fixed devices such as robotic arms that perform control services, the requirement for real-time performance is stringent. Each time slot requires a reliable communication link to transmit high-precision control instructions to ensure the accurate execution of control services. Therefore, exclusive time slot resources are allocated to the fixed devices. It should be noted that in time-division multiplexing (TDM) technology, the channel is divided into several equal-length time segments, called "time slots". Each time slot is used to transmit one signal, and each signal takes turns using these time slots in chronological order. Exclusive means that a specific time slot is completely occupied by a single user or signal source, and other users cannot use this time slot during this period. This method ensures the stability and reliability of data transmission because each user has a fixed transmission period, reducing the possibility of mutual interference. For terminals such as AOI that perform detection services, since they need to upload high-definition pictures or videos, the demand for uplink bandwidth and time slots is large. Therefore, more uplink time slots are configured to meet their data upload needs. Specifically, bandwidth and time slot resources can be allocated according to the transmission rate requirements. In this embodiment, since the functions of the fixed devices are different, the resource allocation methods are also different. Control services emphasize real-time reliability, and detection services emphasize upload capabilities. Reasonable resource allocation can improve the overall system operation efficiency.

[0086] Specifically, first, set the number of time slots allocated to a certain terminal. On the premise of knowing the transmission rate requirements (which are service requirements and are assumed to be known by default), calculate the required rate for a single time slot in an equal-division manner. For example, let the total rate requirement be Rtotal (bps) and the number of allocated time slots be Nslots. Then the required rate for each time slot is:

[0087] Then obtain the signal strength through a propagation model, calculate the signal-to-noise ratio using the Gaussian noise model, and deduce the required bandwidth resources through the Shannon channel formula, the signal-to-noise ratio, and the required rate for a single time slot. For example: Calculate the received power Pr (unit: watt) through a propagation model (such as the free space path loss model).

[0088]

[0089] Where Pt is the transmit power, Gt and Gr are the antenna gains, λ is the wavelength, and d is the transmission distance.

[0090] In the Gaussian noise model, the noise power spectral density is N 0 (W / Hz), and the bandwidth is B (Hz), then the SNR is:

[0091] where SNR represents the signal-to-noise ratio.

[0092] According to Shannon's formula , substituting into the SNR expression gives:

[0093] Solve this equation by numerical methods (such as Newton's iteration method) to obtain the bandwidth B.

[0094] According to the bandwidth resource and the configured subcarrier spacing, calculate the required number of subcarriers; for example, if the subcarrier spacing is Δf (Hz), then the required number of subcarriers is:

[0095] It should be noted that N = B / Δf needs to be rounded up.

[0096] In some embodiments, when the service type of the fixed device is a control service, exclusive time slot resources are allocated to the fixed device, including: obtaining the frequency at which the fixed device sends control instructions; when the frequency at which the fixed device sends control instructions is greater than or equal to a preset threshold, allocating exclusive time slot resources with a first duration to the fixed device; when the frequency at which the fixed device sends control instructions is less than the preset threshold, allocating exclusive time slot resources with a second duration to the fixed device, where the first duration is less than the second duration.

[0097] In this embodiment, on the basis of resource allocation, time slot configuration optimization is further performed, that is, according to the service requirements and working cycle of the fixed device, the length and allocation method of the time slot are optimized. For example, for some robotic arms that need to send control instructions frequently, shorter time slots (the first duration) can be allocated to improve the sending frequency of control signals and ensure real-time performance; while for some robotic arms with a relatively low sending frequency of control instructions, longer time slots (the second duration) can be allocated to improve resource utilization.

[0098] The embodiments of the present disclosure take into account the terminal mobility characteristics and service requirements during resource allocation, ensuring diverse service requirements.

[0099] Figure 6 The flowchart showing another resource allocation method in the embodiments of the present disclosure is as follows Figure 6 As shown, the resource allocation method provided in the embodiments of the present disclosure includes the following steps: S602. Obtain the status information of the mobile device and the second communication resource information of one or more cell-free network access points deployed in the second area.

[0100] In this embodiment, the second communication resource information refers to the communication resource-related information of one or more cell-free network access points deployed in the second area, such as bandwidth, frequency band, and transmit power.

[0101] S604. Input the status information of the mobile device and the second communication resource information into a pre-trained resource allocation model, and output the resource allocation strategy of the mobile device.

[0102] In this embodiment, the pre-trained resource allocation model is trained in the following way: First, collect historical data and simulation data, covering information such as mobile device location, service requirements, and network resource status, and at the same time prepare the corresponding resource allocation plan as a label. Build a reinforcement learning model on the CPU, and determine the structure and parameters of the reinforcement learning model. Input the prepared training data into the built reinforcement learning model. The reinforcement learning model, based on the input data, continuously tries different resource allocation strategies through the reinforcement learning algorithm, and adjusts the strategy according to the environmental feedback (reward signals, such as resource utilization rate, user experience, and other indicators). Repeat the above process, through a large amount of data training, continuously update the model parameters, so that the resource allocation plan output by the model becomes better and better, and finally obtain an efficient resource allocation model that can adapt to various scenarios, and obtain the final resource allocation model.

[0103] During the actual operation, the CPU receives the status information of the mobile device and the second communication resource information in real time, inputs them into the trained resource allocation model, and the resource allocation model makes a quick decision according to the current status, generates the corresponding resource allocation plan, and sends the plan to the relevant cell-free network access points. For example, when an AGV enters a new area, the resource allocation model will dynamically adjust the transmit power and bandwidth allocation of the cell-free network access points according to the resource status of the cell-free network access points in this area and the service requirements of the AGV, and provide a reliable communication link for the AGV.

[0104] In some embodiments, the status information includes the number of mobile devices. Obtaining the status information of the mobile device includes: obtaining the number of historical mobile devices in the second area; predicting the number of mobile devices based on the number of historical mobile devices.

[0105] In this embodiment, predict the number of users in the mobile device area in the next period of time, and according to the prediction result, schedule the corresponding network resources in advance. When the network load is high, increase resources for high-priority services in advance to ensure that the communication requirements of mobile devices are met.

[0106] Specifically, historical user data, time series analysis, and machine learning algorithms (such as neural networks, etc.) can be utilized to predict the future number of users. According to the prediction results, if the predicted number of users is large, more resources such as bandwidth and power are reserved in advance; if it is small, the resource reservation is reasonably reduced to ensure the efficient utilization of resources.

[0107] In this embodiment, dynamic allocation is implemented in the resource allocation of mobile devices to provide a reliable communication link and ensure the continuity of services.

[0108] Based on the same inventive concept, an apparatus for deploying a cell-free network access point is also provided in an embodiment of the present disclosure, as described in the following embodiments. Since the principle of solving problems in this apparatus embodiment is similar to that of the above method embodiment, the implementation of this apparatus embodiment can refer to the implementation of the above method embodiment, and the repeated parts will not be elaborated.

[0109] Figure 7 The schematic diagram of an apparatus for deploying a cell-free network access point in an embodiment of the present disclosure is shown, as Figure 7 shown, the apparatus includes: a partitioning module 71, a first deployment module 72, and a second deployment module 73.

[0110] The partitioning module 71 is configured to partition a target area where a cell-free network access point is to be deployed into a first area and a second area, where the first area is an area containing at least one fixed device, and the second area is an area containing at least one mobile device; the first deployment module 72 is configured to deploy one or more cell-free network access points in the first area according to the number and location distribution of fixed devices in the first area and the signal propagation attribute information of the cell-free network access point to be deployed; the second deployment module 73 is configured to deploy one or more cell-free network access points in the second area according to the movement path information of mobile devices in the second area and the signal attribute information of the cell-free network access point to be deployed.

[0111] In some embodiments, the first deployment module 72 is configured to: determine a first spacing and a first number of cell-free network access points according to the number and location distribution of fixed devices in the first area and the signal propagation attribute information of the cell-free network access point to be deployed; and deploy one or more cell-free network access points in the first area according to the first spacing and the first number.

[0112] In some embodiments, the first deployment module 72 is configured to: input the signal propagation attribute information of the cell-free network access point to be deployed into a pre-trained first signal propagation model, and output a first coverage range value of the cell-free network access point; calculate based on the number and location distribution of the fixed devices in the first area and the first coverage range value of the cell-free network access point to obtain a first spacing and a first number of the cell-free network access points.

[0113] In some embodiments, the first signal propagation model is constructed according to the first facility configuration information of the first area, and the first facility configuration information includes at least one of the following: the material, shape, and location of the facilities in the first area.

[0114] In some embodiments, the first deployment module 72 is further configured to: obtain the service type of the fixed device and the first communication resource information of one or more cell-free network access points deployed in the first area; allocate communication resources for the fixed device according to the service type of the fixed device and the first communication resource information.

[0115] In some embodiments, the service type of the fixed device includes a control service and a detection service, and the first deployment module 72 is further configured to: when the service type of the fixed device is a control service, allocate exclusive time slot resources for the fixed device based on the first communication resource information; when the service type of the fixed device is a detection service, allocate bandwidth and time slot resources based on the first communication resource information and the uplink transmission rate of the fixed device.

[0116] In some embodiments, when the service type of the fixed device is a control service, the first deployment module 72 is further configured to: obtain the frequency at which the fixed device sends control instructions; when the frequency at which the fixed device sends control instructions is greater than or equal to a preset threshold, allocate exclusive time slot resources of a first duration for the fixed device; when the frequency at which the fixed device sends control instructions is less than the preset threshold, allocate exclusive time slot resources of a second duration for the fixed device, where the first duration is less than the second duration.

[0117] In some embodiments, the second deployment module 73 is configured to: obtain the historical operation trajectory data of the mobile devices in the second area; determine the operation path of the mobile devices and the number of mobile devices on the operation path according to the historical operation trajectory data of the mobile devices; deploy one or more cell-free network access points in the second area according to the operation path of the mobile devices, the number of mobile devices on the operation path, and the signal attribute information of the cell-free network access points to be deployed.

[0118] In some embodiments, the second deployment module 73 is configured to: input the signal attribute information of the cell-free network access point to be deployed into a pre-trained second signal propagation model, and output a second coverage range value of the cell-free network access point; calculate according to the running path of the mobile device, the number of mobile devices on the running path, and the second coverage range value of the cell-free network access point to obtain a second spacing and a second number of the cell-free network access points; deploy one or more cell-free network access points within the second region according to the second spacing and the second number of the cell-free network access points.

[0119] In some embodiments, the second signal propagation model is constructed according to the second facility configuration information of the second region, and the second facility configuration information includes at least one of the following: the material, shape, and position of the facilities in the second region.

[0120] In some embodiments, the second deployment module 73 is further configured to: obtain the status information of the mobile device and the second communication resource information of one or more cell-free network access points deployed in the second region; input the status information of the mobile device and the second communication resource information into a pre-trained resource allocation model, and output a resource allocation strategy for the mobile device.

[0121] In some embodiments, the status information includes the number of mobile devices, and the second deployment module 73 is further configured to: obtain the number of historical mobile devices in the second region; predict the number of mobile devices according to the number of historical mobile devices.

[0122] It should be noted here that the examples and application scenarios implemented by each module in the above device embodiments are the same as the corresponding steps in the method embodiments, but are not limited to the content disclosed in the above method embodiments. It should be noted that the above modules, as a part of the device, can be executed in a computer system such as a set of computer-executable instructions.

[0123] Those skilled in the art can understand that various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuit", "module" or "system" here.

[0124] Based on the same inventive concept, embodiments of the present disclosure also provide an electronic device, which includes: a processor; and a memory for storing executable instructions of the processor; wherein, the processor is configured to execute the method for deploying a cell-free network access point in any of the above items by executing the executable instructions. Since the principle of solving problems in the embodiments of this electronic device is similar to that of the above method embodiments, the implementation of the embodiments of this electronic device can refer to the implementation of the above method embodiments, and the repeated parts will not be described again.

[0125] Next, refer to Figure 8 to describe the electronic device 800 according to this embodiment of the present disclosure. Figure 8 The shown electronic device 800 is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present disclosure.

[0126] As Figure 8 shown, the electronic device 800 is presented in the form of a general-purpose computing device. The components of the electronic device 800 may include but are not limited to: at least one of the above processing units 810, at least one of the above storage units 820, and a bus 830 connecting different system components (including the storage unit 820 and the processing unit 810).

[0127] Among them, the storage unit stores program codes, and the program codes can be executed by the processing unit 810, so that the processing unit 810 executes the steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of this specification. For example, the processing unit 810 may execute the following steps of the above method embodiment: dividing the target area where the cell-free network access point is to be deployed into a first area and a second area, where the first area is an area containing at least one fixed device, and the second area is an area containing at least one mobile device; deploying one or more cell-free network access points in the first area according to the number and location distribution of the fixed devices in the first area and the signal propagation attribute information of the cell-free network access point to be deployed; deploying one or more cell-free network access points in the second area according to the movement path information of the mobile devices in the second area and the signal attribute information of the cell-free network access point to be deployed.

[0128] The storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 8201 and / or a cache storage unit 8202, and may further include a read-only storage unit (ROM) 8203.

[0129] The storage unit 820 may also include a program / utility 8204 having a set (at least one) of program modules 8205. Such program modules 8205 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment.

[0130] The bus 830 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus structures.

[0131] The electronic device 800 may also communicate with one or more external devices 840 (such as a keyboard, a pointing device, a Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 800, and / or may communicate with any device that enables the electronic device 800 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication may be carried out through an input / output (I / O) interface 850. Also, the electronic device 800 may communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 860. As shown in the figure, the network adapter 860 communicates with other modules of the electronic device 800 through the bus 830. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0132] Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software or by a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which may be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0133] Based on the same inventive concept, embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the method for deploying a cell-free network access point in any of the above items. Since the principle of solving problems in the embodiments of the computer-readable storage medium is similar to that of the above method embodiments, the implementation of the embodiments of the computer-readable storage medium can refer to the implementation of the above method embodiments, and the repeated parts will not be elaborated.

[0134] More specific examples of the computer-readable storage medium in the present disclosure may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0135] In the present disclosure, the computer-readable storage medium may include a data signal propagated in a baseband or as part of a carrier wave, on which a readable program code is carried. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium may also be any readable medium other than the readable storage medium, and this readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0136] Optionally, the program code included on the computer-readable storage medium may be transmitted by any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0137] In specific implementation, the program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's device, executed as an independent software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user's computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (for example, by using an Internet service provider to connect through the Internet).

[0138] Based on the same inventive concept, embodiments of the present disclosure also provide a computer program product, including: a computer program or instructions, which, when executed by a processor, implement the method for deploying a cell-free network access point according to any one of the above method embodiments. Since the principle of solving problems in this computer program product embodiment is similar to that of the above method embodiments, the implementation of this computer program product embodiment can refer to the implementation of the above method embodiments, and the repeated parts will not be elaborated again.

[0139] It should be noted that although several modules or units of devices for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more of the above-mentioned modules or units can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0140] In addition, although the steps of the methods in the present disclosure are described in a specific order in the drawings, this does not require or imply that these steps must be executed in that specific order, or that all the steps shown must be executed to achieve the desired result. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution, etc.

[0141] From the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (such as a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0142] After considering the specification and practicing the invention disclosed herein, those skilled in the art will readily conceive of other embodiments of the present disclosure. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include known common knowledge or conventional technical means in the technical field not disclosed by the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the appended claims.

Claims

1. A method for deploying a non-cellular network access point, characterized in that: The method comprises: Dividing a target area where no cellular network access point is to be deployed into a first area and a second area, wherein the first area is an area including at least one fixed device, and the second area is an area including at least one mobile device; deploying one or more non-cellular network access points in the first area according to the number and location distribution of fixed devices in the first area and signal propagation attribute information of the non-cellular network access points to be deployed; One or more non-cellular network access points are deployed in the second area according to the moving path information of the mobile device in the second area and the signal attribute information of the non-cellular network access points to be deployed.

2. The method for deploying non-cellular network access points according to claim 1, characterized in that: The deploying one or more non-cellular network access points in the first area according to the number and location distribution of fixed devices in the first area and the signal propagation attribute information of the non-cellular network access points to be deployed includes: Determine a first spacing and a first number of non-cellular network access points according to the number and location distribution of fixed devices in the first area and signal propagation property information of the non-cellular network access points to be deployed; One or more non-cellular network access points are deployed in the first area according to the first distance and the first number.

3. The method for deploying non-cellular network access points according to claim 2, characterized in that: The determining, according to the number and location distribution of fixed devices in the first area and the signal propagation attribute information of the non-cellular network access points to be deployed, a first spacing and a first number of non-cellular network access points includes: Inputting the signal propagation attribute information of the non-cellular network access point to be deployed into a pre-trained first signal propagation model, and outputting a first coverage range value of the non-cellular network access point; A first spacing and a first number of non-cellular network access points are obtained by performing calculations based on the number and location distribution of fixed devices in the first area and the first coverage range value of the non-cellular network access points.

4. The method for deploying non-cellular network access points according to claim 3, characterized in that: The first signal propagation model is constructed according to first facility configuration information of the first area, and the first facility configuration information includes at least one of the following: material, shape and location of the facility in the first area.

5. The method for deploying a non-cellular network access point according to any one of claims 1 to 4, characterized in that: The method further comprises: Acquire a service type of the fixed device and first communication resource information of one or more non-cellular network access points deployed in the first area; Communication resources are allocated to the fixed device according to the service type of the fixed device and the first communication resource information.

6. The method for deploying non-cellular network access points according to claim 5, characterized in that: The service type of the fixed device includes a control service and a detection service, and the allocating communication resources for the fixed device according to the service type of the fixed device and the first communication resource information includes: When the service type of the fixed device is a control service, allocating an exclusive time slot resource to the fixed device based on the first communication resource information; When the service type of the fixed device is a detection service, bandwidth and time slot resources are allocated based on the first communication resource information and the uplink transmission rate of the fixed device.

7. The method for deploying non-cellular network access points according to claim 6, characterized in that: When the service type of the fixed device is a control service, allocating an exclusive time slot resource to the fixed device includes: Acquire the frequency at which the fixed device sends control instructions; When the frequency of the fixed device sending the control instruction is greater than or equal to a preset threshold, allocating an exclusive time slot resource of a first duration to the fixed device; When the frequency of the fixed device sending the control instruction is less than a preset threshold, an exclusive time slot resource of a second duration is allocated to the fixed device, and the first duration is less than the second duration.

8. The method for deploying non-cellular network access points according to claim 1, characterized in that: The deploying one or more non-cellular network access points in the second area according to the moving path information of the mobile device in the second area and the signal attribute information of the non-cellular network access points to be deployed includes: Acquire historical running trajectory data of the mobile device in the second area; Determining a running path of the mobile device and the number of mobile devices on the running path according to the historical running track data of the mobile device; One or more non-cellular network access points are deployed in the second area according to the running path of the mobile device, the number of mobile devices on the running path, and signal attribute information of the non-cellular network access points to be deployed.

9. The method for deploying non-cellular network access points according to claim 8, characterized in that: The deploying one or more non-cellular network access points in the second area according to the running path of the mobile device, the number of mobile devices on the running path, and the signal attribute information of the non-cellular network access points to be deployed includes: Inputting the signal attribute information of the non-cellular network access point to be deployed into a pre-trained second signal propagation model, and outputting a second coverage range value of the non-cellular network access point; Calculating according to the running path of the mobile device, the number of mobile devices on the running path, and the second coverage value of the non-cellular network access point to obtain a second spacing and a second number of the non-cellular network access points; One or more non-cellular network access points are deployed in the second area according to the second interval and the second number of the non-cellular network access points.

10. The method for deploying non-cellular network access points according to claim 9, characterized in that: The second signal propagation model is constructed according to second facility configuration information of the second area, and the second facility configuration information includes at least one of the following: material, shape and location of facilities in the second area.

11. The method for deploying non-cellular network access points according to any one of claims 8 to 10, characterized in that: The method further comprises: Acquire status information of the mobile device and second communication resource information of one or more non-cellular network access points deployed in the second area; The state information of the mobile device and the second communication resource information are input into a pre-trained resource allocation model, and a resource allocation strategy of the mobile device is output.

12. The method for deploying non-cellular network access points according to claim 11, characterized in that: The state information includes the number of the mobile devices, and obtaining the state information of the mobile devices includes: Obtain the number of historical mobile devices in the second area; The number of the mobile devices is predicted based on the number of historical mobile devices.

13. A non-cellular network access point deployment device, characterized in that: The device comprises: A division module, configured to divide a target area to be deployed without a cellular network access point into a first area and a second area, wherein the first area is an area including at least one fixed device, and the second area is an area including at least one mobile device; A first deployment module, configured to deploy one or more non-cellular network access points in the first area according to the number and location distribution of fixed devices in the first area and signal propagation attribute information of the non-cellular network access points to be deployed; The second deployment module is used to deploy one or more non-cellular network access points in the second area according to the moving path information of the mobile device in the second area and the signal attribute information of the non-cellular network access points to be deployed.

14. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; The processor is configured to execute the non-cellular network access point deployment method according to any one of claims 1 to 12 by executing the executable instructions.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for deploying a non-cellular network access point according to any one of claims 1 to 12 is implemented.

16. A computer program product comprising: A computer program or instruction, characterized in that when the computer program or instruction is executed by a processor, the method for deploying a non-cellular network access point according to any one of claims 1 to 12 is implemented.

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