CN117156444B - WIFI and 5G fusion networking method, system, medium and equipment - Google Patents
WIFI and 5G fusion networking method, system, medium and equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
- H04W16/10—Dynamic resource partitioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
- H04W16/20—Network planning tools for indoor coverage or short range network deployment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
- H04W16/225—Traffic simulation tools or models for indoor or short range network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention discloses a WIFI and 5G fusion networking method, a system, a medium and equipment, wherein the method comprises the following steps: acquiring a target building area, a target application scene and corresponding indoor density parameters; calculating the number of preliminary ends based on the indoor density parameter, the target building area and the single AP average coverage area; determining the number of optimized ends based on the number of the preliminary ends, the frequency point resource information and the user edge rate requirement; when the number of the optimized ends accords with the minimum interference target, judging whether the frequency band multiplexing coincidence rate is 1; if yes, carrying out fusion networking based on the number of the optimized ends by an algorithm tool to obtain a networking guide result; if not: calculating the minimum deployment end number of the optimized end number when no carrier interference exists through an algorithm tool; and performing fusion networking based on the minimum deployment end number and the equipment model corresponding to the 5G coverage spectrum to obtain a networking guidance result, so that the fusion networking of WIF I and 5G can be effectively realized.
Description
Technical Field
The invention relates to the field of communication, in particular to a WIFI and 5G fusion networking method, a system, a medium and equipment.
Background
With the increase of the demand of WIFI networks, many areas of the airport are installed with WIFI APs (Access points), and office buildings of the airport can receive WIFI signals from machines, departure halls, etc. In order to ensure coverage and capacity, WIFI APs are deployed everywhere, lack of unified planning, more and more WIFI channels are received by a single user at the same time, mutual interference and switching exist between the channels, and therefore the rate experience of the WIFI is reduced.
From the WIFI network technology, the spectrum used in China is mainly 2.4G and 5.8G, wherein the 2.4G spectrum resources are fewer, and among 14 channels, only 3 channels which are completely non-interfering with each other, each channel has a bandwidth of 22MHz, and each channel can bear 25 bandwidth terminals. Therefore, the user needs are satisfied by increasing the number of APs. The AP deploys more, and the probability of the same and adjacent channels of the natural channel is increased. Through test, the adjacent frequency channels exist between the APs, and the single AP throughput rate is reduced by 30-60%. Therefore, increasing the number of APs does not bring about an increase in capacity.
It is a very challenging matter to deploy WIFI APs in airport areas, with 2.4G planning. The more the number of APs increases, the more interference, and the more the throughput performance index of a single AP decreases.
On the new WIFI protocol, the problem of adjacent channel interference can be avoided to a certain extent by adopting the 5.8G frequency spectrum to provide WIFI coverage. However, the coverage of 5.8G is smaller than that of 2.4G, and the number of WIFI APs increases. The available spectrum of 5.8G has 700MHz with different bandwidth options. In the bandwidth setting, the wider the bandwidth selection, the more opportunities for co-channel and adjacent channel interference exist.
The 5G network is used as a new wireless communication technology and has the characteristics of large bandwidth, low time delay and multiple links. 5G is used for indoor coverage of airport scenes, using the spectrum of different operators. The 5G spectrum resources of the three operators in China are sufficient, the three operators have 5G spectrum resources above 200MHz, and the downlink data service throughput rate can reach 1.6Gbps under the continuous spectrum of 100MHz, and the number of access broadband users can reach 500. By adopting 5G spectrum networking, different frequency combination like WIFI is not needed, and cells are distinguished through Cell ID under the same frequency band. On one hand, the 5G technology can realize the networking of the co-sectors among different base stations, reduce the interference and switching among the sectors, and on the other hand, the networking of the DMM can be realized based on the space division technology, and the uplink and downlink capacity is increased by four times under the same frequency, so that the interference is greatly reduced. However, the cost of the 5G indoor distribution system is several times higher than that of WIFI, the user traffic is charged, and compared with the WIFI free network, the 5G indoor distribution system is not preferred as an access mode by general people. Therefore, in the prior art, when the indoor wireless network is connected, the technical paths of various internet surfing modes are completely cut, so that the interference is difficult to reduce at the same time, and the internet surfing cost is low.
Disclosure of Invention
In order to solve the technical problems, the embodiment of the invention provides a WIFI and 5G fusion networking method, a system, a medium and equipment, which can fuse WIFI and 5G to carry out networking, reduce interference and avoid wasting too much internet charge.
In order to achieve the above objective, an embodiment of the present invention provides a WIFI and 5G fusion networking method, including:
acquiring a target building area, a target application scene and indoor density parameters corresponding to the target application scene;
calculating the number of preliminary ends through a preconfigured algorithm tool based on the indoor density parameter, the target building area and a single AP average coverage area of a preset WIFI;
determining the optimized end number through the algorithm tool based on the initial end number, preset frequency point resource information of WIFI and user edge rate requirements;
when the optimized end head number meets a minimum interference target, judging whether the frequency band multiplexing coincidence rate corresponding to the optimized end head number is 1;
if yes, fusion networking is carried out by the algorithm tool based on the optimized end head quantity, and networking guidance results are obtained;
if not, executing the following steps:
calculating the minimum deployment end number of the optimized end number under the condition that no carrier interference exists through the algorithm tool;
determining a device model corresponding to the 5G coverage spectrum based on the target application scene;
performing fusion networking based on the minimum deployment end number and the equipment model through the algorithm tool to obtain a networking guide result;
the networking guidance result includes a switching signal threshold level parameter, where the switching signal threshold level parameter is used to enable the user terminal to determine whether to switch between WIFI and 5G.
Further, the calculating, by a preconfigured algorithm tool, the number of preliminary ends based on the indoor density parameter, the target building area and a preset single AP average coverage area of WIFI specifically includes:
dividing the target building area by the indoor density parameter to obtain a first number;
dividing the target building area by the single AP average coverage area to obtain a second number;
the larger value between the first number and the second number is taken as a preliminary end number.
Further, the determining, by the algorithm tool, the optimized number of the end heads based on the preliminary number of end heads, the preset frequency point resource information of WIFI and the user edge rate requirement specifically includes:
under the condition of 2.4G, carrying out frequency point planning through the algorithm tool based on the number of the preliminary ends to obtain a first process result;
when the 2.4G co-adjacent frequency exists, under the condition of 5.8G, carrying out frequency point planning through the algorithm tool based on the first process result to obtain a second process result;
when the second process result meets the minimum interference requirement, judging whether the second process result meets the user edge rate requirement or not;
if yes, taking the second process result as the optimized end head quantity;
if not, increasing the number of the APs in the second process result by the algorithm tool until the second process result after increasing the APs meets the user edge rate requirement.
Further, the calculating, by the algorithm tool, the minimum deployment number of the optimized number of tips under the condition that no carrier interference exists specifically includes:
determining AP points which cause carrier interference in the networking plan corresponding to the number of the optimized ends;
subtracting the AP corresponding to the AP point position from the optimized end head number to obtain the minimum deployment end head number.
Further, the networking instruction result includes:
office scene results used for indicating that WIFI is deployed in offices and 5G is deployed in corridor areas;
the open scene result is used for indicating that WIFI is deployed in a hot spot area according to the minimum frequency interference principle, and a 5G priming net is deployed in an area where the WIFI is not continuously covered;
the mobile scene result is used for indicating that WIFI and 5G are deployed in the target area at the same time, wherein the WIFI is a main network;
and a remote scene result for indicating deployment of 5G in the target area.
Further, the indoor density parameter is determined based on the number of rooms per unit area corresponding to the target application scene.
Further, after the networking instruction result is obtained, the method further comprises:
multiplying the number of users in a unit area corresponding to the target application scene, the average rate of single users and the concurrency rate of the users to obtain a first product;
judging whether the first product is smaller than the single carrier capacity of the preset WIFI, if so, covering the unit area by a single AP; if not, the unit area is covered by a plurality of APs.
The embodiment of the invention also provides a WIFI and 5G fusion networking system, which comprises the following steps:
the parameter acquisition module is used for acquiring a target building area, a target application scene and indoor density parameters corresponding to the target application scene;
the preliminary end quantity calculation module is used for calculating the preliminary end quantity through a preconfigured algorithm tool based on the indoor density parameter, the target building area and a single AP average coverage area of a preset WIFI;
the optimized end head quantity acquisition module is used for determining the optimized end head quantity through the algorithm tool based on the preliminary end head quantity, the preset frequency point resource information of WIFI and the user edge rate requirement;
the networking result output module is used for judging whether the frequency band multiplexing superposition rate corresponding to the optimized end head number is 1 or not when the optimized end head number meets the minimum interference target; if yes, fusion networking is carried out by the algorithm tool based on the optimized end head quantity, and networking guidance results are obtained; if not, executing the following steps: calculating the minimum deployment end number of the optimized end number under the condition that no carrier interference exists through the algorithm tool; determining a device model corresponding to the 5G coverage spectrum based on the target application scene; performing fusion networking based on the minimum deployment end number and the equipment model through the algorithm tool to obtain a networking guide result; the networking guidance result includes a switching signal threshold level parameter, where the switching signal threshold level parameter is used to enable the user terminal to determine whether to switch between WIFI and 5G.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the WIFI and 5G fusion networking method described in any of the above.
The embodiment of the invention also provides computer equipment, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the steps of the WIFI and 5G fusion networking method are realized when the processor executes the computer program.
In summary, the invention has the following beneficial effects:
by adopting the embodiment of the invention, the WIFI network planning can be greatly assisted, the probability of frequency point interference is reduced, the equipment quantity is saved, meanwhile, in the 5G indoor network coverage, the low-cost construction characteristics of the WIFI on the bearing of data service are combined, the advantages are complementary, the 5G is aimed at continuous coverage areas, the coverage areas are wide, and the WIFI is aimed at relatively independent room users.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of a WIFI and 5G converged networking method provided by the present invention;
fig. 2 is a schematic structural diagram of an embodiment of a WIFI and 5G fusion networking system provided by the present invention;
fig. 3 is a schematic diagram of an embodiment of a WIFI and 5G converged networking method provided by the present invention;
FIG. 4 is a schematic diagram of one embodiment of classification of indoor density parameters provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of this application, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third", etc. may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
In the description of the present application, it should be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. The terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention, as the particular meaning of the terms described above in this application will be understood to those of ordinary skill in the art in the specific context.
Referring to fig. 1, a flow chart of an embodiment of a WIFI and 5G fusion networking method provided by the present invention includes steps S1 to S6, specifically as follows:
s1, acquiring a target building area, a target application scene and indoor density parameters corresponding to the target application scene;
s2, calculating the number of preliminary ends through a preconfigured algorithm tool based on the indoor density parameter, the target building area and a single AP average coverage area of a preset WIFI;
s3, determining the number of optimized ends by the algorithm tool based on the number of the preliminary ends, preset frequency point resource information of WIFI and user edge rate requirements;
s4, when the number of the optimized end heads accords with a minimum interference target, judging whether the frequency band multiplexing coincidence rate corresponding to the number of the optimized end heads is 1 or not;
s5, if yes, performing fusion networking based on the optimized end head quantity through the algorithm tool to obtain a networking guide result;
s6, if not, executing the following steps: calculating the minimum deployment end number of the optimized end number under the condition that no carrier interference exists through the algorithm tool; determining a device model corresponding to the 5G coverage spectrum based on the target application scene; performing fusion networking based on the minimum deployment end number and the equipment model through the algorithm tool to obtain a networking guide result;
the networking guidance result includes a switching signal threshold level parameter, where the switching signal threshold level parameter is used to enable the user terminal to determine whether to switch between WIFI and 5G.
It should be noted that, the fusion networking of WIFI and 5G refers to the planning of WIFI APs in the same area, including the deployment area of WIFI APs, the number of APs and specific positions of APs in each deployment area, and related parameters of each AP, so that a user terminal can select an optimal connection policy between WIFI and 5G in the same area.
In step S6, when the frequency band multiplexing overlap ratio is not 1, a scenario in which carrier interference exists is described, so that the point positions of neighboring APs that cause interference need to be eliminated, and the minimum number of deployment ends C under the condition of no interference is output. Where the number of C is the AP that is not continuously covered and is interfering, there is necessarily a case where WIFI AP cannot continuously cover. Therefore, in the blank coverage area of WIFI AP, 5G coverage needs to be superimposed.
Illustratively, the 5G coverage spectrum includes 2.6GHz corresponding to China Mobile, and 3.4GHz to 3.6GHz corresponding to China Unicom and telecommunications.
As an improvement of the above solution, the calculating, by a preconfigured algorithm tool, the number of preliminary ends based on the indoor density parameter, the target building area and a preset average coverage area of a single AP of WIFI specifically includes:
dividing the target building area by the indoor density parameter to obtain a first number;
dividing the target building area by the single AP average coverage area to obtain a second number;
the larger value between the first number and the second number is taken as a preliminary end number.
For example, assuming that the target building area is Q, the indoor density parameter R1, and the average coverage area of a single AP is Q1, then:
the number of the preliminary ends is E=Max (Q/Q 1 |Q/R 1 )。
As an improvement of the above solution, the determining, by the algorithm tool, the optimized number of end heads based on the preliminary number of end heads, the preset frequency point resource information of WIFI and the user edge rate requirement specifically includes:
under the condition of 2.4G, carrying out frequency point planning through the algorithm tool based on the number of the preliminary ends to obtain a first process result;
when the 2.4G co-adjacent frequency exists, under the condition of 5.8G, carrying out frequency point planning through the algorithm tool based on the first process result to obtain a second process result;
when the second process result meets the minimum interference requirement, judging whether the second process result meets the user edge rate requirement or not;
if yes, taking the second process result as the optimized end head quantity;
if not, increasing the number of the APs in the second process result by the algorithm tool until the second process result after increasing the APs meets the user edge rate requirement.
Specifically, 2.4G is adopted as a frequency point plan, a first process result Y1 is output, 5.8G is added as the frequency point plan if 2.4G co-adjacent frequency exists, a second process result Y2 is output, and if the Y2 value meets the minimum interference requirement, whether the plan made based on the Y2 value meets the user edge rate requirement is verified. And when the verification cannot be met, the WIFI AP is added to meet the user edge rate requirement, so that the optimized end quantity B is output. The edge rate of the WIFI AP generally has corresponding parameters according to product characteristics, for example, the AP with a transmitting power of 27dBm adopts 802.11ac technology, carrier wave 2.4GHz, and the rate of 10 meters is 30Mbps.
As an improvement of the above solution, the calculating, by the algorithm tool, the minimum deployment number of the optimized number of tips in the absence of carrier interference specifically includes:
determining AP points which cause carrier interference in the networking plan corresponding to the number of the optimized ends;
subtracting the AP corresponding to the AP point position from the optimized end head number to obtain the minimum deployment end head number.
As an improvement of the above solution, the networking guidance result includes:
office scene results used for indicating that WIFI is deployed in offices and 5G is deployed in corridor areas;
the open scene result is used for indicating that WIFI is deployed in a hot spot area according to the minimum frequency interference principle, and a 5G priming net is deployed in an area where the WIFI is not continuously covered;
the mobile scene result is used for indicating that WIFI and 5G are deployed in the target area at the same time, wherein the WIFI is a main network;
and a remote scene result for indicating deployment of 5G in the target area.
For example, according to different application scenarios, the networking guidance result obtained by the 5g+wifi fusion planning may have the following four default models:
based on the model of office scene, WIFI is mainly deployed in the office, and 5G is deployed in the corridor area, so that continuous coverage is realized, and WIFI AP in the corridor area is prevented from interfering with AP in the office.
Based on an open scene model, WIFI makes hot spot area coverage according to a minimum frequency interference principle, and continuous coverage is realized by a 5G network in a discontinuous coverage area.
And based on a model of a mobile scene, such as a subway tunnel, WIFI and 5G are simultaneously covered, the WIFI is used as a main network to bear data service, and when the WIFI is disconnected, the switching is not smooth or the problem of weak coverage occurs, the terminal automatically cuts into 5G.
Based on coverage of remote scenes, as the transmission and construction cost is required to be increased in WIFI deployment, the 5G scheme directly adopts the mode of antenna remote coverage, so that the cost of deploying WIFI in the remote scenes is saved.
As an improvement of the above-described aspect, the indoor density parameter is determined based on the number of rooms per unit area corresponding to the target application scene.
For example, the indoor density parameter in this embodiment is obtained by comparing the number of partition walls of the room in a unit area corresponding to the target application scene with the number of partition walls in the unit area, for example, each hundred square meters has two independent rooms, and the indoor density parameter is 2, because each independent room needs to be installed with an AP.
For example, referring to fig. 4, the indoor density parameter in this embodiment is a path parameter formed by combining multiple samples of big data to obtain the real path loss of wireless propagation of different structures.
As an improvement of the above scheme, after the networking instruction result is obtained, the method further comprises:
multiplying the number of users in a unit area corresponding to the target application scene, the average rate of single users and the concurrency rate of the users to obtain a first product;
judging whether the first product is smaller than the single carrier capacity of the preset WIFI, if so, covering the unit area by a single AP; if not, the unit area is covered by a plurality of APs.
It should be noted that, if the data obtained by multiplying the average rate S of a single user by the number D of users in a unit area and the user concurrency rate is in the capability of WIFI single carrier, the data may be covered by a single AP by default, otherwise, the AP or channel resource needs to be added.
Illustratively, the unit area is one hundred square meters.
Illustratively, after the target area completes networking based on the WIFI and 5G converged networking method described above,
Wi-Fi access authentication is accomplished by:
1. Wi-Fi terminal user online triggers 802.1X authentication (based on mobile phone card IMSI information, user name and password are not needed), the authentication method adopts EAP-AKA, authentication message is sent to cloud AP, and cloud AP is used as authentication point to trigger radius authentication.
2. NCE-Campus is used as radius proxy, and the NCE-Campus shunts to different operators to fuse authentication platforms through IMSI carried in radius message for secondary authentication
3. After the converged authentication platform receives the radius message, the converged authentication platform sends a secondary authentication message to the 5GC UDM network element through the SWx interface to finish secondary authentication
4. After the 5GC passes the secondary authentication, returning to the NCE-Campus authentication, and finishing the access right control of the user by the NCE-Campus through superposition authorization
The 5G access authentication is completed by the following steps:
1. 5G terminal user is online, the authentication flow is sent to 5GC SMF through the mobile bearing network, and the SMF equipment is triggered to UDM to finish one-time authentication of the user
2. After receiving the UDM authentication passing message, the SMF triggers a secondary authentication flow, sends radius authentication message to NCE-Campus to finish the secondary authentication of the user (authentication is performed based on the IMSI of the mobile phone card, and 5GC and NCE-Campus can be communicated through the Internet and IPSEC special lines, and can also be communicated through the SMF-UPF-NCE of the bearing network)
3. After NCE-Campus receives radius message, user is authorized to complete control of access authority of user.
Correspondingly, the embodiment of the invention also provides a WIFI and 5G fusion networking system, which can realize all the processes provided by the embodiment.
Referring to fig. 2, a schematic structural diagram of an embodiment of a WIFI and 5G fusion networking system provided by the present invention includes:
a parameter obtaining module 101, configured to obtain a target building area, a target application scene, and an indoor density parameter corresponding to the target application scene;
the preliminary end number calculation module 102 is configured to calculate the preliminary end number through a preconfigured algorithm tool based on the indoor density parameter, the target building area and a preset single AP average coverage area of WIFI;
the optimized end quantity obtaining module 103 is configured to determine, through the algorithm tool, the optimized end quantity based on the preliminary end quantity, preset frequency point resource information of WIFI, and a user edge rate requirement;
the networking result output module 104 is configured to determine whether a frequency band multiplexing overlapping ratio corresponding to the optimized number of ends is 1 when the optimized number of ends meets a minimum interference target; if yes, fusion networking is carried out by the algorithm tool based on the optimized end head quantity, and networking guidance results are obtained; if not, executing the following steps: calculating the minimum deployment end number of the optimized end number under the condition that no carrier interference exists through the algorithm tool; determining a device model corresponding to the 5G coverage spectrum based on the target application scene; performing fusion networking based on the minimum deployment end number and the equipment model through the algorithm tool to obtain a networking guide result; the networking guidance result includes a switching signal threshold level parameter, where the switching signal threshold level parameter is used to enable the user terminal to determine whether to switch between WIFI and 5G.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the WIFI and 5G fusion networking method described in any of the above.
The embodiment of the invention also provides computer equipment, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the steps of the WIFI and 5G fusion networking method are realized when the processor executes the computer program.
The computer device of this embodiment includes: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a WIFI and 5G converged networking program. The steps in the embodiments of the WIFI and 5G fusion networking method described above are implemented when the processor executes the computer program, for example, steps S1 to S6 shown in fig. 1.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments describe the execution of the computer program in the computer device.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a computer device and is not limiting of the computer device, and may include more or fewer components than shown, or may combine some of the components, or different components, e.g., the computer device may also include input and output devices, network access devices, buses, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like that is a control center of the computer device, connecting various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer program and/or modules, and the processor may implement various functions of the computer device by running or executing the computer program and/or modules stored in the memory, and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Wherein the computer device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
In summary, the invention has the following beneficial effects:
by adopting the embodiment of the invention, the WIFI network planning can be greatly assisted, the probability of frequency point interference is reduced, the equipment quantity is saved, meanwhile, in the 5G indoor network coverage, the low-cost construction characteristics of the WIFI on the bearing of data service are combined, the advantages are complementary, the 5G is aimed at continuous coverage areas, the coverage areas are wide, and the WIFI is aimed at relatively independent room users.
From the above description of the embodiments, it will be clear to those skilled in the art that the present invention may be implemented by means of software plus necessary hardware platforms, but may of course also be implemented entirely in hardware. With such understanding, all or part of the technical solution of the present invention contributing to the background art may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the method described in the embodiments or some parts of the embodiments of the present invention.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (6)
1. The WIFI and 5G fusion networking method is characterized by comprising the following steps of:
acquiring a target building area, a target application scene and indoor density parameters corresponding to the target application scene; wherein the indoor density parameter is determined based on the number of rooms in a unit area corresponding to the target application scene;
calculating the number of preliminary ends through a preconfigured algorithm tool based on the indoor density parameter, the target building area and a single AP average coverage area of a preset WIFI;
determining the optimized end number through the algorithm tool based on the initial end number, preset frequency point resource information of WIFI and user edge rate requirements;
when the optimized end head number meets a minimum interference target, judging whether the frequency band multiplexing coincidence rate corresponding to the optimized end head number is 1;
if yes, fusion networking is carried out by the algorithm tool based on the optimized end head quantity, and networking guidance results are obtained;
if not, executing the following steps:
calculating the minimum deployment end number of the optimized end number under the condition that no carrier interference exists through the algorithm tool;
determining a device model corresponding to the 5G coverage spectrum based on the target application scene;
performing fusion networking based on the minimum deployment end number and the equipment model through the algorithm tool to obtain a networking guide result;
the networking guidance result comprises a switching signal threshold level parameter, wherein the switching signal threshold level parameter is used for enabling a user terminal to judge whether to switch between WIFI and 5G;
the calculating, by a preconfigured algorithm tool, the number of preliminary ends based on the indoor density parameter, the target building area and a preset single AP average coverage area of WIFI specifically includes:
dividing the target building area by the indoor density parameter to obtain a first number;
dividing the target building area by the single AP average coverage area to obtain a second number;
taking a larger value between the first number and the second number as a preliminary head number;
the calculating, by the algorithm tool, the minimum deployment number of the optimized number of tips under the condition that no carrier interference exists specifically includes:
determining AP points which cause carrier interference in the networking plan corresponding to the number of the optimized ends;
subtracting the AP corresponding to the AP point position from the optimized end head number to obtain the minimum deployment end head number;
wherein, the networking guidance result comprises:
office scene results used for indicating that WIFI is deployed in offices and 5G is deployed in corridor areas;
the open scene result is used for indicating that WIFI is deployed in a hot spot area according to the minimum frequency interference principle, and a 5G priming net is deployed in an area where the WIFI is not continuously covered;
the mobile scene result is used for indicating that WIFI and 5G are deployed in the target area at the same time, wherein the WIFI is a main network;
and a remote scene result for indicating deployment of 5G in the target area.
2. The WIFI and 5G fusion networking method according to claim 1, wherein the determining, by the algorithm tool, the optimized number of ends based on the preliminary number of ends, the preset frequency point resource information of WIFI, and the user edge rate requirement specifically includes:
under the condition of 2.4G, carrying out frequency point planning through the algorithm tool based on the number of the preliminary ends to obtain a first process result;
when the 2.4G co-adjacent frequency exists, under the condition of 5.8G, carrying out frequency point planning through the algorithm tool based on the first process result to obtain a second process result;
when the second process result meets the minimum interference requirement, judging whether the second process result meets the user edge rate requirement or not;
if yes, taking the second process result as the optimized end head quantity;
if not, increasing the number of the APs in the second process result by the algorithm tool until the second process result after increasing the APs meets the user edge rate requirement.
3. The WIFI and 5G converged networking method of claim 1, further comprising, after obtaining the networking guidance result:
multiplying the number of users in a unit area corresponding to the target application scene, the average rate of single users and the concurrency rate of the users to obtain a first product;
judging whether the first product is smaller than the single carrier capacity of the preset WIFI, if so, covering the unit area by a single AP; if not, the unit area is covered by a plurality of APs.
4. A WIFI and 5G converged networking system, comprising:
the parameter acquisition module is used for acquiring a target building area, a target application scene and indoor density parameters corresponding to the target application scene; wherein the indoor density parameter is determined based on the number of rooms in a unit area corresponding to the target application scene;
the preliminary end quantity calculation module is used for calculating the preliminary end quantity through a preconfigured algorithm tool based on the indoor density parameter, the target building area and a single AP average coverage area of a preset WIFI;
the optimized end head quantity acquisition module is used for determining the optimized end head quantity through the algorithm tool based on the preliminary end head quantity, the preset frequency point resource information of WIFI and the user edge rate requirement;
the networking result output module is used for judging whether the frequency band multiplexing superposition rate corresponding to the optimized end head number is 1 or not when the optimized end head number meets the minimum interference target; if yes, fusion networking is carried out by the algorithm tool based on the optimized end head quantity, and networking guidance results are obtained; if not, executing the following steps: calculating the minimum deployment end number of the optimized end number under the condition that no carrier interference exists through the algorithm tool; determining a device model corresponding to the 5G coverage spectrum based on the target application scene; performing fusion networking based on the minimum deployment end number and the equipment model through the algorithm tool to obtain a networking guide result; the networking guidance result comprises a switching signal threshold level parameter, wherein the switching signal threshold level parameter is used for enabling a user terminal to judge whether to switch between WIFI and 5G;
the calculating, by a preconfigured algorithm tool, the number of preliminary ends based on the indoor density parameter, the target building area and a preset single AP average coverage area of WIFI specifically includes:
dividing the target building area by the indoor density parameter to obtain a first number;
dividing the target building area by the single AP average coverage area to obtain a second number;
taking a larger value between the first number and the second number as a preliminary head number;
the calculating, by the algorithm tool, the minimum deployment number of the optimized number of tips under the condition that no carrier interference exists specifically includes:
determining AP points which cause carrier interference in the networking plan corresponding to the number of the optimized ends;
subtracting the AP corresponding to the AP point position from the optimized end head number to obtain the minimum deployment end head number;
wherein, the networking guidance result comprises:
office scene results used for indicating that WIFI is deployed in offices and 5G is deployed in corridor areas;
the open scene result is used for indicating that WIFI is deployed in a hot spot area according to the minimum frequency interference principle, and a 5G priming net is deployed in an area where the WIFI is not continuously covered;
the mobile scene result is used for indicating that WIFI and 5G are deployed in the target area at the same time, wherein the WIFI is a main network;
and a remote scene result for indicating deployment of 5G in the target area.
5. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a WIFI and 5G fusion networking method according to any of claims 1 to 3.
6. A computer device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the WIFI and 5G fusion networking method of any of claims 1 to 3 when the computer program is executed.
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