CN117041902A

CN117041902A - Data processing method, device, storage medium and apparatus based on 5G transmission

Info

Publication number: CN117041902A
Application number: CN202311111924.4A
Authority: CN
Inventors: 刘成
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shanghai Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shanghai Co Ltd
Priority date: 2023-08-30
Filing date: 2023-08-30
Publication date: 2023-11-10

Abstract

The invention belongs to the technical field of data processing, and discloses a data processing method, equipment, a storage medium and a device based on 5G transmission, wherein the method processes first information sent by user equipment acquired by preset communication equipment according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network, wherein the preset ultra-dense cellular network is a 5G ultra-dense cellular network which is built in advance according to an SBS small base station, an FBS micro base station, an MBS macro base station and the user equipment; according to the method, the device and the system, the target transmission link is determined according to the preset transmission protocol branch and the preset channel allocation algorithm, and the transmission and the display of the first processing information are completed according to the target transmission link, so that the method and the device can be suitable for most high-requirement application scenes in life by constructing the ultra-dense cellular network of the mobile edge cloud, improve the compatibility of the 5G small base station, reduce the equipment cost of operators, and meet the hot spot area capacity and data rate requirements of the 5G network.

Description

Data processing method, device, storage medium and apparatus based on 5G transmission

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a data processing method, apparatus, storage medium, and device based on 5G transmission.

Background

With the development of information technology, the concept of intelligent construction is proposed, and intelligent parks based on intelligent construction are the development direction of new infrastructure. Meanwhile, the 5G technology with large bandwidth and low time delay provides an information basis for intelligent transformation of thousands of industries, and the information technology is utilized to inject new vitality into industry upgrading for upgrading of traditional industries.

The wireless communication with large flow and low time delay is a basic support for the technical development of multi-node Internet of things and the like, and the conventional fourth-generation (4G) wireless communication technology cannot meet the communication requirements of the technologies, so that the fifth-generation (5G) wireless communication technology is led out. In the stage of coexistence of 4G and 5G, 4G, 5G and NB-IOT are deployed at the same time, so that the cost is not reduced, but increased; moreover, when there are a plurality of active users, interference occurs between them. Currently, to cope with interference, the related art generally employs an Interference Alignment (IA) method. Based on a single user scheme, greedy algorithms and interference alignment are combined to transmit video file segments to these users.

In the building and electromechanical construction process, the collection and transmission of a large amount of field pictures and video data are basically realized through an artificial PC mobile phone end, and the real-time data collection, analysis and transmission are difficult to realize because the mass data transmission required by the transmission of real-time high-definition data in the intelligent construction process is proved to be broken through, so that the real-time information of the construction is difficult to be monitored, calculated and analyzed. And the existing interference processing method does not consider the problem of transmission of the low popularity file. The file segments are returned at different base stations, so that the calculated amount of the control center is greatly increased, and the problem that the control center is possibly overloaded exists.

Disclosure of Invention

The invention mainly aims to provide a data processing method, equipment, a storage medium and a device based on 5G transmission, and aims to solve the technical problems that the existing data transmission scheme has limitation in application scene, so that the compatibility of a 5G small base station is poor and the hot spot area capacity and the data rate requirement of a 5G network cannot be met.

In order to achieve the above object, the present invention provides a data processing method based on 5G transmission, the data processing method based on 5G transmission includes the following steps:

acquiring first information sent by user equipment based on preset communication equipment;

processing the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network to obtain first processing information, wherein the preset ultra-dense cellular network is a 5G ultra-dense cellular network which is constructed in advance according to an SBS small base station, an FBS micro base station, an MBS macro base station and user equipment;

determining a target transmission link according to a preset transmission protocol branch and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link.

Optionally, the step of processing the first information according to the target conversion protocol branch corresponding to the preset ultra-dense cellular network to obtain first processing information includes:

Selecting a target conversion protocol branch from preset conversion protocol branches according to the terminal type, the SBS small base station, the FBS micro base station and the MBS macro base station corresponding to user equipment;

and carrying out protocol conversion processing on the first information according to the target conversion protocol branch to obtain processed first processing information.

Optionally, the step of determining a target transmission link according to a preset transmission protocol branch and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link includes:

selecting a target protocol branch from preset transmission protocol branches according to the communication interface information of the preset communication equipment;

determining transmission path information pre-allocated by a transmission node in a transmission link according to the target protocol branch and a preset communication rule;

and determining a target transmission link according to the transmission path information and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link.

Optionally, the step of determining the transmission path information pre-allocated by the transmission node in the transmission link according to the target protocol branch and a preset communication rule includes:

Determining real-time data of each uplink transmission link according to a preset communication rule and the target protocol branch, wherein the real-time data comprises channel occupation, flow distribution and a received signal strength index;

determining the maximum power of each base station corresponding to the uplink transmission link according to the channel occupation, the flow distribution and the received signal strength index;

determining link weight information according to the current load capacity and the maximum load capacity of each base station;

and determining transmission path information preallocated by the transmission nodes in the transmission link according to the maximum power and the weight information.

Optionally, the step of determining a target transmission link according to the transmission path information and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link includes:

determining the total maximum transmission power of each transmission link according to the maximum power in the transmission path information;

determining a target transmission link according to the total maximum transmission power, the link weight information and a preset channel allocation algorithm;

and completing the transmission and display of the first processing information according to the target transmission link.

Optionally, before the step of collecting the first information sent by the user equipment based on the preset communication equipment, the method further includes:

setting FBS micro base stations in a preset type place in a to-be-deployed range to obtain the position information of the FBS micro base stations, wherein the preset type place comprises an intelligent park, a construction site or a terminal equipment dense place;

taking the signal radiation distance of the SBS small base station as a radius, and making a circle by taking the position of each FBS micro base station as a circle center to obtain first intersection point information;

determining the position to be set of the SBS small base station according to the first intersection point information and a preset rule;

calculating and centering on the position of each SBS small base station, and rounding the difference value between the coverage radius of the MBS macro base station and the coverage radius of the SBS small base station to obtain second intersection point information;

clustering each intersection point in the second intersection point information, and taking the position with the largest number of intersection points as the position to be set of the MBS macro base station;

and constructing a preset ultra-dense cellular network according to the position to be set of the MBS macro base station, the position to be set of the SBS small base station and the position information of the FBS micro base station.

Optionally, the step of determining the to-be-set position of the SBS small base station according to the first intersection information and a preset rule includes:

If the first intersection point information does not have an intersection point, placing the SBS small base stations at the positions of the FBS small base stations;

if one intersection point exists in the first intersection point information, placing the SBS small base station at the position of the intersection point, and placing other SBS small base stations at the positions of the FBS small base stations which do not achieve the intersection;

if a plurality of intersection points exist in the first intersection point information, determining FBS micro base stations which are far away from other FBS micro base stations and the FBS micro base stations intersected with the FBS micro base stations in the two FBS micro base stations with the intersection points, and selecting one far-away intersection point between the two FBS micro base stations as a position for placing the SBS small base station.

In addition, to achieve the above object, the present invention also proposes a 5G transmission-based data processing apparatus, which includes a memory, a processor, and a 5G transmission-based data processing program stored on the memory and executable on the processor, the 5G transmission-based data processing program being configured to implement the steps of the 5G transmission-based data processing as described above.

In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a data processing program based on 5G transmission, which when executed by a processor, implements the steps of the data processing method based on 5G transmission as described above.

In addition, in order to achieve the above object, the present invention also proposes a data processing apparatus based on 5G transmission, the data processing apparatus based on 5G transmission comprising:

the information acquisition module is used for acquiring first information sent by the user equipment based on the preset communication equipment;

the protocol conversion module is used for processing the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network to obtain first processing information, wherein the preset ultra-dense cellular network is a 5G ultra-dense cellular network which is constructed in advance according to an SBS small base station, an FBS micro base station, an MBS macro base station and user equipment;

the link determining module is used for determining a target transmission link according to a preset transmission protocol branch and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link.

The method comprises the steps of collecting first information sent by user equipment based on preset communication equipment; processing the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network to obtain first processing information, wherein the preset ultra-dense cellular network is a 5G ultra-dense cellular network which is constructed in advance according to an SBS small base station, an FBS micro base station, an MBS macro base station and user equipment; according to a preset transmission protocol branch and a preset channel allocation algorithm, a target transmission link is determined, and the transmission and display of the first processing information are completed according to the target transmission link, compared with the existing data transmission scheme application scene, the method has limitation, and the compatibility of the 5G small base station is poor, so that the hot spot area capacity and data rate requirements of the 5G network cannot be met.

Drawings

FIG. 1 is a schematic diagram of a 5G transport based data processing apparatus of a hardware runtime environment in which embodiments of the present invention are involved;

FIG. 2 is a flowchart of a first embodiment of a data processing method based on 5G transmission according to the present invention;

FIG. 3 is a flowchart of a second embodiment of a data processing method based on 5G transmission according to the present invention;

FIG. 4 is a schematic view of a deployment effect of a third embodiment of a data processing method based on 5G transmission according to the present invention;

FIG. 5 is a schematic diagram illustrating a third embodiment of a data processing method based on 5G transmission according to the present invention;

fig. 6 is a schematic diagram of MBS zone configuration according to a third embodiment of a data processing method based on 5G transmission according to the present invention;

fig. 7 is a block diagram illustrating a first embodiment of a data processing apparatus based on 5G transmission according to the present invention.

The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

With reference to fig. 1, fig. 1 is a schematic structural diagram of a data processing device based on 5G transmission in a hardware running environment according to an embodiment of the present invention.

As shown in fig. 1, the 5G transmission-based data processing apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.

It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the 5G transmission based data processing apparatus, and may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.

As shown in fig. 1, an operating system, a network communication module, a user interface module, and a data processing program based on 5G transmission may be included in the memory 1005, which is considered to be a data processing storage medium.

In the data processing device based on 5G transmission shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the data processing device based on 5G transmission calls the data processing program based on 5G transmission stored in the memory 1005 through the processor 1001, and executes the data processing method based on 5G transmission provided by the embodiment of the present invention.

Based on the above hardware structure, an embodiment of the data processing method based on 5G transmission of the present invention is presented.

Referring to fig. 2, fig. 2 is a flowchart of a first embodiment of a data processing method based on 5G transmission according to the present invention, and the first embodiment of the data processing method based on 5G transmission according to the present invention is provided.

In this embodiment, the data processing method based on 5G transmission includes the following steps:

step S10: and acquiring first information sent by the user equipment based on the preset communication equipment.

It should be noted that, the execution body in this embodiment may be a device including a data processing system, where the data processing system includes a data processing function based on 5G transmission, for example: the computer, tablet, mobile phone or notebook may be other devices capable of implementing the same or similar functions, and in this embodiment and the following embodiments, the data processing method based on 5G transmission of the present invention will be described by taking the computer as an example. The scheme provides a data processing and displaying method based on 5G transmission, which provides low-delay and high-quality data for intelligent construction and provides a data foundation for intelligent construction data application. The technology can also be applied to the operation of the intelligent park and the 5G network application of the macro cell. Therefore, the scheme can be applied to new infrastructure application scenes such as intelligent parks with large data transmission quantity, intelligent digital twin building construction and the like.

It can be understood that the preset communication device may be a preset small base station, a micro base station, and a macro base station, where the macro base station is abbreviated as MBS, the small base station is abbreviated as SBS, the micro base station is abbreviated as FBS, and the user equipment is abbreviated as UE. The first information may be a video picture for field use.

Step S20: and processing the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network to obtain first processing information, wherein the preset ultra-dense cellular network is a 5G ultra-dense cellular network which is constructed in advance according to an SBS small base station, an FBS micro base station, an MBS macro base station and user equipment.

It should be noted that the target conversion protocol branch may be a target protocol branch configured by the protocol conversion control layer, where the target conversion protocol branch is applicable to a conversion protocol determined in connection with a communication manner between the user equipment and each base station, for example: 4G is converted to 5G.

It can be understood that the processing of the first information by the target conversion protocol branch may refer to converting the first information into data in a format corresponding to the target conversion protocol branch, and obtaining the processed first processing information.

Further, to illustrate the target protocol branch determination procedure, the step S20 further includes: selecting a target conversion protocol branch from preset conversion protocol branches according to the terminal type, the SBS small base station, the FBS micro base station and the MBS macro base station corresponding to user equipment; and carrying out protocol conversion processing on the first information according to the target conversion protocol branch to obtain processed first processing information.

It should be noted that the preset inter-conversion protocol branches may be preset multiple inter-conversion protocol branches, for example: 4G converts to 5G,5G converts to WIFI.

In specific implementation, the establishing a target protocol branch is as follows: different levels of base stations, namely MBS, SBS, FBS, can only adopt different-frequency transmission communication with own father node and son node; the base stations of the same layer use the same frequency band and can not communicate with each other, namely, a target access terminal (user equipment) is a 4G terminal, a target protocol branch configured by a protocol conversion control layer is a 5G and 4G inter-conversion protocol branch, SBS and UE, SBS and FBS are connected to a network through wireless transmission links, namely, the target access terminal is a WIFI terminal, and the target protocol branch configured by the protocol conversion control layer is a 5G and WIFI inter-conversion protocol branch; if the target access terminal (user equipment) is an NB-IOT terminal, the target protocol branch configured by the protocol conversion control layer is a 5G and NB-IOT inter-conversion protocol branch, and if the target access terminal is a 5G terminal, the target protocol branch configured by the protocol conversion control layer is a 5G protocol branch. And converting the first information into information corresponding to the target conversion protocol branch through the determined target conversion protocol branch.

Step S30: determining a target transmission link according to a preset transmission protocol branch and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link.

It should be noted that the preset transmission protocol branch may be a preset node device branch for data transmission, and the preset channel allocation algorithm may be a preset algorithm for determining a transmission rate of a data transmission link corresponding to the node device branch for user data transmission. The preset channel allocation algorithm may be a method of adopting a static allocation of sub-channel bandwidths, and it is assumed that the number of sub-channels of each base station downlink in the same layer and each sub-channel bandwidth are both fixed and the same, and based on fairness, at most 1 sub-channel is allocated to each user equipment.

It can be understood that the present solution determines a target transmission link through a preset transmission protocol branch and a preset channel allocation algorithm, and completes the transmission of the first processing information according to the target transmission link.

In a specific implementation, after the transmission of the first processing information is completed by the target transmission link, the transmission result and the transmitted data are displayed on the preset display interface, so that the scheme can display the first processing information and the corresponding transmission path besides completing the transmission of the first processing information, and therefore a user can determine association relations among devices, alarm lists among devices and the like more clearly and intuitively, and data management and control can be completed better.

The embodiment collects first information sent by user equipment based on preset communication equipment; processing the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network to obtain first processing information, wherein the preset ultra-dense cellular network is a 5G ultra-dense cellular network which is constructed in advance according to an SBS small base station, an FBS micro base station, an MBS macro base station and user equipment; according to a preset transmission protocol branch and a preset channel allocation algorithm, a target transmission link is determined, and transmission and display of the first processing information are completed according to the target transmission link, compared with the existing data transmission scheme application scene, the method has limitation, and therefore the compatibility of the 5G small base station is poor, the hot spot area capacity and the data rate requirement of the 5G network cannot be met.

Based on the first embodiment shown in fig. 2, a second embodiment of the data processing method based on 5G transmission of the present invention is provided, and referring to fig. 3, fig. 3 is a flowchart of the second embodiment of the data processing method based on 5G transmission of the present invention.

In this embodiment, the step S30 further includes:

step S301: and selecting a target protocol branch from preset transmission protocol branches according to the communication interface information of the preset communication equipment.

It should be noted that, the communication interface information of the preset communication device may be communication interface information determined by the protocol conversion control layer according to a deployment scenario of the SBS, an application scenario of the SBS, and a communication mode of the target terminal accessing the SBS.

It will be appreciated that one protocol branch is selected and configured from a plurality of protocol branches preloaded by utilizing a software configuration.

It should be appreciated that one protocol branch selected and configured from the preloaded plurality of protocol branches using a software configuration, specifically includes: receiving first information sent by the communication equipment through a docking interface of an adaptation docking layer, wherein the interface type, the interface rate, the interface address and the interface protocol of the docking interface are configured according to the communication interface information of the communication equipment; pre-configuring a target protocol branch matched with the protocol branch selection instruction of the adaptive butt layer for the protocol conversion control layer according to the protocol branch selection instruction of the adaptive butt layer; and pre-configuring a target protocol branch or control parameter matched with the control parameter instruction for the protocol conversion control layer according to the control parameter instruction of the protocol conversion control layer received through the parameter configuration interface of the protocol conversion control layer. The control parameter instruction of the protocol conversion control layer comprises at least one of the following: a protocol branch selection instruction, an air interface mutual interference prevention parameter instruction, an air interface frame structure configuration instruction, a scheduling control instruction and a physical layer working mode selection instruction; the air interface mutual interference prevention parameter instruction and the air interface frame structure configuration instruction are used for a special network or an emergency rescue network, and the scheduling control instruction is used for the emergency rescue network.

Step S302: and determining the pre-allocated transmission path information of the transmission node in the transmission link according to the target protocol branch and a preset communication rule.

It should be noted that, the preset communication rule may be a preset communication rule according to each base station and between user equipments, where the preset communication rule may refer to that only different frequency transmission communication can be adopted between base stations in different levels with its own parent node and child node; the base stations of the same hierarchy use co-frequency transmission and cannot communicate with each other.

It may be understood that the transmission path information pre-allocated by the transmission node in the transmission link may refer to transmission path information to be allocated corresponding to the transmission node in the plurality of transmission links capable of performing data transmission.

Further, the step S302 further includes: determining real-time data of each uplink transmission link according to a preset communication rule and the target protocol branch, wherein the real-time data comprises channel occupation, flow distribution and a received signal strength index; determining the maximum power of each base station corresponding to the uplink transmission link according to the channel occupation, the flow distribution and the received signal strength index; determining link weight information according to the current load capacity and the maximum load capacity of each base station; and determining transmission path information preallocated by the transmission nodes in the transmission link according to the maximum power and the weight information.

It should be noted that, the central controller finds all possible transmission paths according to the position of the edge server in the network architecture where the protocol branch request file is located, and calculates channel information pre-allocated by the transmission node in the possible transmission link by using a channel allocation algorithm in combination with the current network state, including the serial number, bandwidth and number of the time slots in use of the sub-channel. After the first processing information is processed through the protocol conversion control layer, the first processing information is sent to the target access terminal through an air interface matched with the communication mode of the target access terminal and configured by the physical layer, the central controller constructs an information path diagram with weight locally, and performs optimal route selection on all possible downlinks of the current user equipment based on the maximum transmitting power of each link, and then the UE performs data transmission of a large-capacity file on the links of the optimal route.

It can be appreciated that the channel allocation algorithm is specifically as follows: firstly, a user terminal UE determines a plurality of base stations (macro base station MBS, small base station SBS, micro base station FBS) corresponding to each uplink transmission link respectively. And then the UE respectively estimates the maximum power of each base station so as to determine the total maximum transmission power of each transmission link. And then taking the ratio of the current load capacity and the maximum load capacity of each base station as a weight value, and calculating and determining the optimal transmission link with the maximum total maximum transmission power. The central controller may construct a local weighted information path diagram, which may be obtained by the central controller, and includes a congestion state of a transmission node and pre-allocation channel information of a transmission path, calculating a ratio between a current load and a maximum load of each section of possible link, and taking the ratio as a weight of the link, where transmission power of each section of possible link is a sum of estimated maximum powers of all base stations included in the link, so as to obtain a local weighted information path diagram based on transmission power, which takes MBS as a starting point and UE as an end point.

In the specific implementation, a central controller in the MBS searches all positions and sizes of edge servers where a request file is located in a cloud server of a base station in a macro cell according to protocol branch request file information; if the cloud server of the current macro cell does not have the request target file, the MBS obtains the request target file through a remote core network or even the Internet, and at the moment, the position of the target file is assumed to default to the MBS; if the request target file exists in the local cloud server, the request target file is directly transmitted to the UE.

Step S303: and determining a target transmission link according to the transmission path information and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link.

It should be noted that, a target transmission link is determined according to the transmission path information and a preset channel allocation algorithm, and the transmission and display of the first processing information are completed according to the target transmission link.

In a specific implementation, after receiving information sent by a user equipment, a base station device (small base station, micro base station, macro base station) may collect real-time data such as channel occupation, flow distribution, and Received Signal Strength Indicator (RSSI) through an MSC, estimate maximum power of each base station, determine total maximum transmission power of each transmission link, and select an optimal transmission link with the maximum total maximum transmission power value as a large file transmission link.

Further, the step S303 further includes: determining the total maximum transmission power of each transmission link according to the maximum power in the transmission path information; determining a target transmission link according to the total maximum transmission power, the link weight information and a preset channel allocation algorithm; and completing the transmission and display of the first processing information according to the target transmission link.

It should be noted that, based on the ultra-dense cellular network system and the corresponding communication rule in the present invention, the optimal channel allocation algorithm specifically includes: s1: firstly, a voice channel is non-permanently allocated to a unit, instead of each call request to enable a base station to request to allocate the channel from an MSC, a user terminal UE can determine a plurality of base stations (macro base station MBS, small base station SBS, micro base station FBS) corresponding to each uplink transmission link respectively through the MSC. S2: and then the UE collects real-time data of channel occupation, flow distribution and Received Signal Strength Indicator (RSSI) through the MSC and respectively estimates the maximum power of each base station, so as to determine the total maximum transmission power of each transmission link. And then taking the ratio between the current load capacity and the maximum load capacity of each base station as a weight, calculating and determining the optimal transmission link with the maximum total maximum transmission power, and completing the transmission and display of the first processing information according to the optimal transmission link.

The calculation formula for determining the total maximum transmission power of each transmission link according to the maximum power in the transmission path information is as follows:

p chain = P macro max (macro base station current load/macro base station maximum load) +p small max (small base station current load/small base station maximum load) +p micro max (micro base station current load/micro base station maximum load).

To further illustrate the formula calculation process, an example is as follows: the link 1 includes a macro base station 1 (estimated maximum power P1, macro base station 1 current load/macro base station 1 maximum load=w1), a small base station 2 (estimated maximum power P2, small base station 2 current load/small base station 2 maximum load=w2), and a micro base station 3 (estimated maximum power P4, micro base station 3 current load/micro base station 3 maximum load=w3). The link 2 includes a macro base station 4 (estimated maximum power P4, current load of the macro base station 4/maximum load of the macro base station 4=w4), a small base station 5 (estimated maximum power P5, current load of the small base station 5/maximum load of the small base station 5=w5), and a micro base station 6 (estimated maximum power P6, current load of the micro base station 6/maximum load of the micro base station 6=w6), and the total maximum transmission power of the link 1 is p1+w1+p2+w2+p3+w3; the total maximum transmission power of link 2 is p4+p5+w5+p6.

Based on the first embodiment shown in fig. 2 described above, a third embodiment of the data processing method based on 5G transmission of the present invention is proposed.

In this embodiment, before the step S10, the method further includes: setting FBS micro base stations in a preset type place in a to-be-deployed range to obtain the position information of the FBS micro base stations, wherein the preset type place comprises an intelligent park, a construction site or a terminal equipment dense place; taking the signal radiation distance of the SBS small base station as a radius, and making a circle by taking the position of each FBS micro base station as a circle center to obtain first intersection point information; determining the position to be set of the SBS small base station according to the first intersection point information and a preset rule; calculating and centering on the position of each SBS small base station, and rounding the difference value between the coverage radius of the MBS macro base station and the coverage radius of the SBS small base station to obtain second intersection point information; clustering each intersection point in the second intersection point information, and taking the position with the largest number of intersection points as the position to be set of the MBS macro base station; and constructing a preset ultra-dense cellular network according to the position to be set of the MBS macro base station, the position to be set of the SBS small base station and the position information of the FBS micro base station.

It should be noted that, to further illustrate a specific construction process of the 5G ultra-dense cellular network in this embodiment, referring to a deployment effect schematic diagram shown in fig. 4, the deployment effect schematic diagram includes: s1: firstly, in a preset type place in a to-be-deployed range, the preset type place comprises an intelligent park, a construction site or a terminal equipment dense place (mainly comprises workplaces such as office building factories and entertainment places such as park amusement parks, and people can not be gathered in residential areas during working days, so that the scheme excludes places such as residential areas in which most of time people can not be gathered). S2: and (3) taking the radiation distance of the SBS signals as a radius, taking the position of each FBS as a circle center, making a circle, determining whether an intersection point exists, and confirming the specific setting position of the SBS according to three preset rules.

Further, the step of determining the to-be-set position of the SBS small base station according to the first intersection information and a preset rule includes: if the first intersection point information does not have an intersection point, placing the SBS small base stations at the positions of the FBS small base stations; if one intersection point exists in the first intersection point information, placing the SBS small base station at the position of the intersection point, and placing other SBS small base stations at the positions of the FBS small base stations which do not achieve the intersection; if a plurality of intersection points exist in the first intersection point information, determining FBS micro base stations which are far away from other FBS micro base stations and the FBS micro base stations intersected with the FBS micro base stations in the two FBS micro base stations with the intersection points, and selecting one far-away intersection point between the two FBS micro base stations as a position for placing the SBS small base station.

It should be noted that, the preset rule refers to: 1) If there is no intersection point, the SBS is placed at the location of each FBS.

2) If there are 1 intersection points, the SBS is placed at the position of the intersection point, and other SBS is placed at the position of other FBS which does not realize the intersection. Examples: referring to fig. 4, the point a can place SBS, so that FBS1 and FBS2 are covered by only one SBS as parent node. On the other hand, the SBS is respectively arranged near the positions of the FBS3 and the FBS4, so that the deployment effect that each FBS is covered by only one SBS is realized. 3) If there are a plurality of intersections, a FBS that is farther than the other FBS, and an FBS that intersects it, are determined among the two FBS's that have the intersections. Further selecting a farther intersection point between the two FBS as a place for placing SBS, wherein the farther intersection point is: intersection points are far from the line between the other FBSs that do not achieve intersection. Examples: referring to the schematic diagram of intersection points shown in fig. 5, four FBS setting positions of FBS1, FBS2, FBS3 and FBS4 are used as centers, the radius of the SBS signal radiation distance is used as a circle, an intersection point A, B exists between FBS1 and FBS2, an intersection point C, D exists between FBS2 and FBS3, and FBS4 is not intersected with other three circles. Since there are two intersections of FBS2 and FBS1, FBS3, and FBS4 is adjacent to FBS3, the intersection between FBS1 and FBS2 that is farther from FBS4 can be selected, namely: a and B are the candidate addresses for placing SBS. Further, the intersection point a farther from the line L between the FBS3 and the FBS4 is selected from a and B as a location where the SBS is finally placed, since if the SBS is placed at the point B, it is easy to cause the SBS placed in the range of the FBS4 to form signal interference with the SBS placed at the point B. Whereas FBS1 and FBS2 can be made to be covered by a single SBS as parent node. On the other hand, one SBS can be respectively arranged in the FBS3 and the FBS4, so that the deployment effect that each FBS is covered by only one SBS is realized.

It can be understood that after determining the positions of the FBSs and the SBS, calculating the position with each SBS as the center, taking the difference between the MBS coverage radius and the SBS coverage radius (i.e. MBS coverage radius-SBS coverage radius) as a radius as a circle, clustering the intersection points, and taking the position with the largest number of intersection points (which can be approximately coincident) as the setting position of the MBS. Thus, under the condition that each FBS edge server has a unique father node SBS edge server, the signal coverage of all FBS and SBS is also covered by a unique macro base station signal. Therefore, the deployment of the whole 5G ultra-dense cellular network is completed, and the wireless resource utilization rate of the deployed ultra-dense cellular network system is guaranteed to be improved. Firstly, setting FBS (FBS) in a preset type place, then taking the radiation distance of the SBS signal as a radius, making a circle by taking the position of each FBS as the center of a circle, and determining the placement position of the SBS according to the number of intersection points and the position condition. After the FBS and SBS positions are determined, calculating a circle which takes the position of each SBS as the center and takes the difference value between the MBS coverage radius and the SBS coverage radius as the radius, clustering each intersection point, and taking the position with the largest number of intersection points as the placement position of the MBS.

In a specific implementation, for example, referring to the MBS zone setting diagram shown in fig. 6, there are 2 intersections between SBS2 and SBS3, and only 1 intersection between SBS1 and SBS2, so a location zone with a large number of intersections is used as a setting location of the MBS, thereby ensuring that the MBS can cover all SBS and FBSs. The central controller in the MBS searches all positions and sizes of edge servers where the request file is located in a cloud server of a base station in a macro cell according to the protocol branch request file information; if the cloud server of the current macro cell does not have the request target file, the MBS obtains the request target file through a remote core network or even the Internet, and at the moment, the position of the target file is assumed to default to the MBS; if the request target file exists in the local cloud server, the request target file is directly transmitted to the UE.

Aiming at the proposed system model of three layers of base stations in the macro cell based on the edge cloud server, the scheme constructs the information flow of the current user equipment based on the network architecture, obtains all possible transmission node (base station) pre-allocation transmitting channel information according to the channel allocation algorithm idea, constructs an information path diagram with weight, and provides a simple channel allocation method, thereby effectively solving the problem of co-layer interference and improving the channel utilization rate; meanwhile, the ultra-dense cellular network system architecture (each FBS edge server is provided with a unique father node SBS and a unique father node macro base station corresponding to the SBS) and the corresponding communication rules MBS, SBS, FBS only can adopt different-frequency transmission communication with the father node and the son node of the ultra-dense cellular network system architecture; the base stations at the same level adopt the same frequency transmission and can not communicate with each other, and the link maximum power estimated by the UE and corresponding weight data based on actual load and maximum load are more accurately attached to the actual data. Therefore, the calculation result in the invention can realize more accurate and effective optimal route selection based on the maximum transmission power corresponding to the link for all possible downlinks for the user of each macro cell, thereby maximally improving the benefit of the data transmission power limited by physical resources and improving the overall system performance of the network and the experience quality of the user. According to the data processing and displaying method based on 5G transmission, through constructing an ultra-dense cellular network of a mobile edge cloud, a system model of three layers of base stations in a macro cell based on an edge cloud server is provided, and the method can be suitable for most high-requirement application scenes in life, improves compatibility of 5G small base stations, reduces equipment cost of operators, and meets hot spot area capacity and data rate requirements of the 5G network. The 5G ultra-dense cellular network in the scheme can adopt less base station equipment, realize rapid and efficient deployment of the 5G cellular network meeting the demands of most users, and can meet the demands of the maximum business application with lower cost.

Referring to fig. 7, fig. 7 is a block diagram showing the structure of a first embodiment of a data processing apparatus based on 5G transmission according to the present invention.

As shown in fig. 7, a data processing apparatus based on 5G transmission according to an embodiment of the present invention includes:

an information acquisition module 10, configured to acquire first information sent by a user equipment based on a preset communication device;

the protocol conversion module 20 is configured to process the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network, so as to obtain first processed information, where the preset ultra-dense cellular network is a 5G ultra-dense cellular network that is previously constructed according to an SBS small base station, an FBS micro base station, an MBS macro base station, and user equipment;

the link determining module 30 is configured to determine a target transmission link according to a preset transmission protocol branch and a preset channel allocation algorithm, and complete transmission and display of the first processing information according to the target transmission link.

Further, the protocol conversion module 20 is further configured to select a target conversion protocol branch from preset inter-conversion protocol branches according to a terminal type corresponding to the user equipment, the SBS small base station, the FBS micro base station, and the MBS macro base station; and carrying out protocol conversion processing on the first information according to the target conversion protocol branch to obtain processed first processing information.

Further, the protocol conversion module 20 is further configured to select a target protocol branch from preset transmission protocol branches according to the communication interface information of the preset communication device; determining transmission path information pre-allocated by a transmission node in a transmission link according to the target protocol branch and a preset communication rule; and determining a target transmission link according to the transmission path information and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link.

Further, the link determining module 30 is further configured to determine real-time data of each uplink transmission link according to a preset communication rule and the target protocol branch, where the real-time data includes channel occupation, traffic distribution, and a received signal strength indicator; determining the maximum power of each base station corresponding to the uplink transmission link according to the channel occupation, the flow distribution and the received signal strength index; determining link weight information according to the current load capacity and the maximum load capacity of each base station; and determining transmission path information preallocated by the transmission nodes in the transmission link according to the maximum power and the weight information.

Further, the link determining module 30 is further configured to determine an aggregate maximum transmission power of each transmission link according to the maximum power in the transmission path information; determining a target transmission link according to the total maximum transmission power, the link weight information and a preset channel allocation algorithm; and completing the transmission and display of the first processing information according to the target transmission link.

Further, the data processing device based on 5G transmission further comprises a network construction module, wherein the network construction module is used for setting FBS micro base stations in a preset type place in a range to be deployed to obtain the position information of the FBS micro base stations, and the preset type place comprises an intelligent park, a construction site or a terminal equipment dense place; taking the signal radiation distance of the SBS small base station as a radius, and making a circle by taking the position of each FBS micro base station as a circle center to obtain first intersection point information; determining the position to be set of the SBS small base station according to the first intersection point information and a preset rule; calculating and centering on the position of each SBS small base station, and rounding the difference value between the coverage radius of the MBS macro base station and the coverage radius of the SBS small base station to obtain second intersection point information; clustering each intersection point in the second intersection point information, and taking the position with the largest number of intersection points as the position to be set of the MBS macro base station; and constructing a preset ultra-dense cellular network according to the position to be set of the MBS macro base station, the position to be set of the SBS small base station and the position information of the FBS micro base station.

Further, the network construction module is further configured to place the SBS small base station at a location where each FBS small base station is located if there is no intersection point in the first intersection point information; if one intersection point exists in the first intersection point information, placing the SBS small base station at the position of the intersection point, and placing other SBS small base stations at the positions of the FBS small base stations which do not achieve the intersection; if a plurality of intersection points exist in the first intersection point information, determining FBS micro base stations which are far away from other FBS micro base stations and the FBS micro base stations intersected with the FBS micro base stations in the two FBS micro base stations with the intersection points, and selecting one far-away intersection point between the two FBS micro base stations as a position for placing the SBS small base station.

It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.

It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.

In addition, technical details not described in detail in this embodiment may refer to the data processing method based on 5G transmission provided in any embodiment of the present invention, which is not described herein.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third, etc. do not denote any order, but rather the terms first, second, third, etc. are used to interpret the terms as names.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read only memory mirror (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.

The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims

1. A data processing method based on 5G transmission, characterized in that the data processing method based on 5G transmission comprises the following steps:

2. The data processing method based on 5G transmission according to claim 1, wherein the step of processing the first information according to a target conversion protocol branch corresponding to a preset ultra-dense cellular network to obtain first processed information includes:

3. The data processing method based on 5G transmission according to claim 2, wherein the step of determining a target transmission link according to a preset transmission protocol branch and a preset channel allocation algorithm and completing transmission and display of the first processing information according to the target transmission link comprises:

4. A data processing method based on 5G transmission according to claim 3, wherein the step of determining transmission path information pre-allocated to the transmission node in the transmission link according to the target protocol branch and a preset communication rule comprises:

5. The data processing method based on 5G transmission according to claim 3, wherein the step of determining a target transmission link according to the transmission path information and a preset channel allocation algorithm, and completing transmission and display of the first processing information according to the target transmission link comprises:

6. The method for processing data based on 5G transmission according to claim 1, wherein before the step of acquiring the first information sent by the user equipment based on the preset communication device, the method further comprises:

7. The data processing method based on 5G transmission as claimed in claim 6, wherein the step of determining the SBS small base station to be set according to the first intersection information and a preset rule includes:

8. A 5G transmission-based data processing apparatus, characterized in that the 5G transmission-based data processing apparatus comprises: memory, a processor and a 5G transmission based data processing program stored on the memory and executable on the processor, which when executed by the processor implements the 5G transmission based data processing method according to any of claims 1 to 7.

9. A storage medium having stored thereon a 5G transmission-based data processing program which, when executed by a processor, implements the 5G transmission-based data processing method according to any one of claims 1 to 7.

10. A data processing apparatus based on 5G transmission, the data processing apparatus based on 5G transmission comprising: