CN110225530A - Wireless data analysis method, device and CUDA entity - Google Patents
Wireless data analysis method, device and CUDA entity Download PDFInfo
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- CN110225530A CN110225530A CN201810174922.2A CN201810174922A CN110225530A CN 110225530 A CN110225530 A CN 110225530A CN 201810174922 A CN201810174922 A CN 201810174922A CN 110225530 A CN110225530 A CN 110225530A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
- G06F15/163—Interprocessor communication
- G06F15/173—Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
- G06F15/17306—Intercommunication techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Abstract
The present invention provides a kind of wireless data analysis method, device and CUDA entities, belong to wireless communication technology field.Wherein, the method applied to the first centralized unit data analysis CUDA entity includes: the calculating task for receiving the 2nd CUDA entity and sending；The calculating data for needing the 2nd CUDA entity to report are sent to the 2nd CUDA entity according to the calculating task received and report configuration；The 2nd CUDA entity is received according to the calculating data for reporting configuration to report；The calculating data reported according to the 2nd CUDA entity are that the 2nd CUDA entity is calculated, and calculated result is sent to the 2nd CUDA entity.Technical solution of the present invention can be effectively solved the calculating and data interaction in the enabled wireless access network of wireless big data, preferably the Real Time Radio Resource optimization of enabled big data auxiliary.
Description
Technical field
The present invention relates to wireless communication technology field, it is real to particularly relate to a kind of wireless data analysis method, device and CUDA
Body.
Background technique
With the arrival in 5G epoch, the quick hair of all kinds of communications such as mobile Internet, Internet of Things, cloud computing and processing technique
Exhibition results in the explosive growth of data traffic, and cordless communication network has entered big data era.Wireless big data is main at present
Applied to network planning optimization and mobile edge storage, content distribution etc..The network planning is based on offline big data analysis, hair
Existing network blind spot and hot spot, instruct network to dispose.The groundwork of network optimization at present is to concentrate on road test data or terminal side
And MR data, signal collecting, network management index, the work of base station side join (site longitude and latitude, high, RF parameter of standing) data etc. from chain of command
On network parameter is optimized, such as power, interoperability, timer, mobility parameters optimization etc..
The scheme of the prior art mainly considers planning of the wireless big data to network, and semi-static site-level other parameter is excellent
Change, real-time wireless resource management and physical layer transmission can not preferably be supported to optimize.For the reality for preferably supporting data-driven
When wireless resource management and physical layer transmission optimization, need in wireless access network introduce big data analysis at function.It is wireless big
Data processing function usually has stronger requirement to the computing capability of network, and the equipment in wireless access network may have difference
Calculation processing ability, centralized unit (central Unit, CU) is introduced such as in 5G and generallys use cloudization realization, is had relatively strong
Processing capacity, distributed unit (distributed unit, DU) usually have weaker data-handling capacity, it is integrated
Micro- station also usually has weaker processing capacity.It is preferably real how preferably using the ability of the equipment in wireless access network
Now wireless big data is the major issue for needing to solve to the real-time optimization of wireless access network.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of wireless data analysis method, device and CUDA entities, can
Calculating and data interaction in the enabled wireless access network of big data that effective solution is wireless, preferably enabled big data assists
Real Time Radio Resource optimization.
In order to solve the above technical problems, the embodiment of the present invention offer technical solution is as follows:
On the one hand, a kind of wireless data analysis method is provided, is applied to the first centralized unit data and analyzes CUDA entity, institute
The method of stating includes:
Receive the calculating task of the 2nd CUDA entity transmission；
Send what needs the 2nd CUDA entity reported to the 2nd CUDA entity according to the calculating task received
It calculates data and reports configuration；
The 2nd CUDA entity is received according to the calculating data for reporting configuration to report；
The calculating data reported according to the 2nd CUDA entity are that the 2nd CUDA entity is calculated, and will be calculated
As a result it is sent to the 2nd CUDA entity.
Further, before described the step of receiving the calculating task that the 2nd CUDA entity is sent, the method also includes:
Itself holotype identity and entity information are broadcasted in a network；
The registration request for the request registration slave pattern identity that the 2nd CUDA entity is sent is received, in the registration request
It include the identity information and ability information of the 2nd CUDA entity；
Confirmation registration information is sent to the 2nd CUDA entity.
Further, the method also includes:
Receive the data interaction request that the 2nd CUDA entity is sent, the data interaction request instruction described first
CUDA entity replaces the 2nd CUDA entity and core network element to carry out data interaction.
Further, the method also includes:
The registration request of request registration slave pattern identity is sent to the 2nd CUDA entity, includes in the registration request
There are the identity information and ability information of the first CUDA entity；
Receive the confirmation registration information that the 2nd CUDA entity is sent.
Further, after described the step of receiving the confirmation registration information that the 2nd CUDA entity is sent, the side
Method further include:
Calculating task is sent to the 2nd CUDA entity；
It receives the calculating data for needing the first CUDA entity to report of the 2nd CUDA entity transmission and reports and match
It sets；
Configuration is reported to report calculating data to the 2nd CUDA entity according to described；
Receive the calculated result that the 2nd CUDA entity is sent.
Further, the method also includes:
Data interaction request is sent to the 2nd CUDA entity, the data interaction request indicates that the 2nd CUDA is real
Body replaces the first CUDA entity and core network element to carry out data interaction.
The embodiment of the invention also provides a kind of wireless data analytical equipments, are applied to the first centralized unit data and analyze
CUDA entity, described device include transceiver and processor:
The transceiver is used to receive the calculating task that the 2nd CUDA entity is sent, according to the calculating task received to institute
It states the 2nd CUDA entity to send the calculating data for needing the 2nd CUDA entity to report and report configuration, receives described second
CUDA entity is according to the calculating data for reporting configuration to report；
The calculating data that the processor is used to be reported according to the 2nd CUDA entity be the 2nd CUDA entity into
Row calculates；
The transceiver is also used to for calculated result to be sent to the 2nd CUDA entity.
Further, the transceiver is also used to broadcast the holotype identity and entity information of itself in a network, receives
The registration request for the request registration slave pattern identity that the 2nd CUDA entity is sent includes described the in the registration request
The identity information and ability information of two CUDA entities, the 2nd CUDA entity of Xiang Suoshu send confirmation registration information.
Further, the transceiver is also used to receive the data interaction request that the 2nd CUDA entity is sent, described
Data interaction request indicates that the first CUDA entity replaces the 2nd CUDA entity and core network element to carry out data interaction.
Further, the transceiver is also used to send the note of request registration slave pattern identity to the 2nd CUDA entity
Volume is requested, and is included the identity information and ability information of the first CUDA entity in the registration request, is received described second
The confirmation registration information that CUDA entity is sent.
Further, the transceiver is also used to send calculating task to the 2nd CUDA entity, receives described second
The calculating data and report configuration that needs the first CUDA entity that CUDA entity is sent reports, according to it is described report configure to
The 2nd CUDA entity reports calculating data, receives the calculated result that the 2nd CUDA entity is sent.
Further, the transceiver is also used to send data interaction request, the data to the 2nd CUDA entity
Interaction request indicates that the 2nd CUDA entity replaces the first CUDA entity and core network element to carry out data interaction.
The embodiment of the invention also provides a kind of centralized unit data analyze CUDA entity, including memory, processor and
It is stored in the computer program that can be run on the memory and on the processor；When the processor executes described program
Realize wireless data analysis method as described above.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey
The step in wireless data analysis method as described above is realized when sequence is executed by processor.
The embodiment of the present invention has the advantages that
In above scheme, wireless data analysis system is made of multiple CUDA entities, and there are two types of work for each CUDA entity
State, is holotype state and slave pattern state respectively, and calculating task can be sent to master by the CUDA entity of slave pattern state
The CUDA entity of mode state is helped the CUDA entity of slave pattern state to be calculated by the CUDA entity of holotype state,
According to the technical solution of the present invention, the calculating and data that can be effectively solved in the enabled wireless access network of wireless big data are handed over
Mutually, the preferably Real Time Radio Resource optimization of enabled big data auxiliary.
Detailed description of the invention
Fig. 1 is the flow diagram of wireless data of embodiment of the present invention analysis method；
Fig. 2 is the idiographic flow schematic diagram of wireless data of embodiment of the present invention analysis method；
Fig. 3 is the structural block diagram of wireless data of embodiment of the present invention analytical equipment.
Specific embodiment
To keep the embodiment of the present invention technical problems to be solved, technical solution and advantage clearer, below in conjunction with
Drawings and the specific embodiments are described in detail.
The embodiment of the present invention provides a kind of wireless data analysis method, device and CUDA entity, can be effectively solved
Calculating and data interaction in the enabled wireless access network of wireless big data, the real-time radio money that preferably enabled big data assists
Source optimization.
The embodiment of the present invention provides a kind of wireless data analysis method, is applied to the first CUDA (central unit data
Analytics, the analysis of centralized unit data) entity, which comprises
Step 101: receiving the calculating task that the 2nd CUDA entity is sent；
Step 102: being sent according to the calculating task received to the 2nd CUDA entity and need the 2nd CUDA real
The calculating data and report configuration that body reports；
Wherein, reporting configuration includes but is not limited to report cycle and the data scale of construction etc..First CUDA entity instruction second
The calculating data that CUDA entity reports can divide essential reported data and optional enhancing reported data two parts.
Step 103: receiving the 2nd CUDA entity according to the calculating data for reporting configuration to report；
Step 104: the calculating data reported according to the 2nd CUDA entity are that the 2nd CUDA entity is calculated,
And calculated result is sent to the 2nd CUDA entity.
Wherein, calculated result can be decision parameters or computation model.
In the present embodiment, wireless data analysis system is made of multiple CUDA entities, and there are two types of work for each CUDA entity
State, is holotype state and slave pattern state respectively, and calculating task can be sent to master by the CUDA entity of slave pattern state
The CUDA entity of mode state is helped the CUDA entity of slave pattern state to be calculated by the CUDA entity of holotype state,
According to the technical solution of the present invention, the calculating and data that can be effectively solved in the enabled wireless access network of wireless big data are handed over
Mutually, the preferably Real Time Radio Resource optimization of enabled big data auxiliary.
In the present embodiment, each centralized unit data analysis entities have two kinds of working conditions of holotype and slave pattern.When
When centralized unit data analysis entities A commission centralized unit data analysis entities B help calculates, then A works in slave pattern state,
B works in holotype state.Each centralized unit data analysis entities can also collect the number of distributed unit connected to it
According to and help distributed unit to be calculated accordingly.
Further, before described the step of receiving the calculating task that the 2nd CUDA entity is sent, the method also includes:
Itself holotype identity and entity information are broadcasted in a network；
The registration request for the request registration slave pattern identity that the 2nd CUDA entity is sent is received, in the registration request
It include the identity information and ability information of the 2nd CUDA entity；
Confirmation registration information is sent to the 2nd CUDA entity.
If centralized unit data analysis entities are ready to provide data computing capability, itself can be broadcasted in a network
Holotype identity and entity information, wherein entity information is physical capabilities explanation, including at least one of following information: real
Body mark and address；Entity type；The calculating task list of support；The range of service is provided.When other intensive datas are analyzed in fact
When body has commission calculating demand, according to the identity and ability of the centralized unit data analysis entities of holotype state, selection is corresponding
Holotype state centralized unit data analysis entities, and request to register.When registration, identity information and ability information are provided,
After completing registration, mission bit stream (such as model meter for needing to entrust is submitted to the centralized unit data analysis entities of holotype state
It calculates).The ability information includes at least one of following information: entity identifier and address；Entity type；Region.
Further, the method also includes:
Receive the data interaction request that the 2nd CUDA entity is sent, the data interaction request instruction described first
CUDA entity replaces the 2nd CUDA entity and core network element to carry out data interaction.
When the calculating task of all model trainings and decision is all submitted to holotype state by the CUDA of slave pattern state
When CUDA, the CUDA of slave pattern state can also apply by the NWDA of the CUDA trustship Dai Qiyu core net of holotype state
(network data analytics, network data analysis) entity carries out data interaction.
When the CUDA of holotype state connects the CUDA of multiple slave pattern states, the CUDA of holotype state carries out task meter
When calculation, the number that the CUDA of the slave pattern state of committal charge is provided according to the target and type of calculating task, can be based not only on
According to being also based on the data of other CUDA or NWDA, calculated according to itself algorithm, such as considered in model training multiple
Network cooperating between the CUDA of slave pattern state.
Further, the method also includes:
The registration request of request registration slave pattern identity is sent to the 2nd CUDA entity, includes in the registration request
There are the identity information and ability information of the first CUDA entity；
Receive the confirmation registration information that the 2nd CUDA entity is sent.
Further, after described the step of receiving the confirmation registration information that the 2nd CUDA entity is sent, the side
Method further include:
Calculating task is sent to the 2nd CUDA entity；
It receives the calculating data for needing the first CUDA entity to report of the 2nd CUDA entity transmission and reports and match
It sets；
Configuration is reported to report calculating data to the 2nd CUDA entity according to described；
Receive the calculated result that the 2nd CUDA entity is sent.
Further, the method also includes:
Data interaction request is sent to the 2nd CUDA entity, the data interaction request indicates that the 2nd CUDA is real
Body replaces the first CUDA entity and core network element to carry out data interaction.
Further, the entity information includes at least one of following information:
Entity identifier and address；
Entity type；
The calculating task list of support；
The range of service is provided.
Further, the ability information includes at least one of following information:
Entity identifier and address；
Entity type；
Region.
With reference to the accompanying drawing and specific embodiment conducts further analysis wireless data analysis of the invention, such as
Shown in Fig. 2, the analysis of the wireless data of the present embodiment the following steps are included:
In the mixed networking scene of CU, DU and gNodeB, CUDA functional entity is disposed at CU, has DUDA in DU
(Distributed unit data analytics, distributed unit data analysis) function has CUDA and DUDA in gNode,
CUDA collects DUDA data and DUDA is helped to be calculated.
Since CU computing resource is abundant, the CUDA computing capability in CU is stronger, and the CUDA in CU is broadcasted certainly in a network
Oneself holotype identity and entity information (including entity identifier and address, entity type, the calculating task list that can be supported,
There is provided the range etc. of service).
CUDA in gNode needs to provide MCS (Modulation and Coding Scheme, modulation and volume for DUDA
Code strategy) decision computation model training, but since itself computing resource is limited, the CUDA for needing to find holotype state is helped
It is calculated.The CUDA for finding the holotype state in CU in a network submits application for registration to the CUDA of holotype state,
Include the entity information (entity identifier and address, entity type, region) of oneself.The CUDA of holotype state in CU connects
By application for registration, confirmation is replied.
CUDA of the CUDA into CU in gNode submits calculating task application list, its help is entrusted to carry out MCS selection mould
The training of type indicates the task type mark of oneself application in application.
The CUDA of holotype state, which replys the task type, needs data set to be offered, including feedback CQI (Channel
Quality Indicator, channel quality instruction) (essential), TM (essential), select MCS (essential), ACK/NACK result or
PER estimates (essential), and (Signal to Interference plus Noise Ratio, signal adds with interference makes an uproar broadband SINR
Acoustic ratio) estimate (optional), moving speed estimation (optional), UE type (optional) reports and is configured to periodically report.
GNode is required according to data set, periodically reports the data itself being capable of providing to the CUDA of holotype state.
For the CUDA of holotype state according to computation model, the data for persistently inputting the CUDA of slave pattern state carry out model instruction
Practice and update, and the model modification after Ready is periodically pushed to the CUDA of slave pattern state.
After the CUDA of slave pattern state receives model, more new model, and model is supplied to DUDA and calculates MCS decision.
The embodiment of the invention also provides a kind of wireless data analytical equipments, are applied to the first centralized unit data and analyze
CUDA entity, as shown in figure 3, described device includes transceiver 32 and processor 31:
The transceiver 32 be used for receives the 2nd CUDA entity send calculating task, according to the calculating task received to
The 2nd CUDA entity sends the calculating data for needing the 2nd CUDA entity to report and reports configuration, receives described second
CUDA entity is according to the calculating data for reporting configuration to report；
The calculating data that the processor 32 is used to be reported according to the 2nd CUDA entity are the 2nd CUDA entity
It is calculated；
The transceiver 32 is also used to for calculated result to be sent to the 2nd CUDA entity.
In the present embodiment, wireless data analysis system is made of multiple CUDA entities, and there are two types of work for each CUDA entity
State, is holotype state and slave pattern state respectively, and calculating task can be sent to master by the CUDA entity of slave pattern state
The CUDA entity of mode state is helped the CUDA entity of slave pattern state to be calculated by the CUDA entity of holotype state,
According to the technical solution of the present invention, the calculating and data that can be effectively solved in the enabled wireless access network of wireless big data are handed over
Mutually, the preferably Real Time Radio Resource optimization of enabled big data auxiliary.
Further, the transceiver 32 is also used to broadcast the holotype identity and entity information of itself in a network, connects
The registration request for the request registration slave pattern identity that the 2nd CUDA entity is sent is received, includes described in the registration request
The identity information and ability information of 2nd CUDA entity, the 2nd CUDA entity of Xiang Suoshu send confirmation registration information.
Further, the transceiver 32 is also used to receive the data interaction request that the 2nd CUDA entity is sent, institute
It states data interaction request and indicates that the first CUDA entity replaces the 2nd CUDA entity and core network element to carry out data friendship
Mutually.
Further, the transceiver 32 is also used to send request registration slave pattern identity to the 2nd CUDA entity
Registration request, includes the identity information and ability information of the first CUDA entity in the registration request, receives described the
The confirmation registration information that two CUDA entities are sent.
Further, the transceiver 32 is also used to send calculating task to the 2nd CUDA entity, receives described the
The calculating data and report configuration that needs the first CUDA entity that two CUDA entities are sent reports, report configuration according to described
Calculating data are reported to the 2nd CUDA entity, receive the calculated result that the 2nd CUDA entity is sent.
Further, the transceiver 32 is also used to send data interaction request, the number to the 2nd CUDA entity
Indicate that the 2nd CUDA entity replaces the first CUDA entity and core network element to carry out data interaction according to interaction request.
Further, the entity information includes at least one of following information:
Entity identifier and address；
Entity type；
The calculating task list of support；
The range of service is provided.
Further, the ability information includes at least one of following information:
Entity identifier and address；
Entity type；
Region.
The embodiment of the invention also provides a kind of centralized unit data analyze CUDA entity, including memory, processor and
It is stored in the computer program that can be run on the memory and on the processor；When the processor executes described program
Realize wireless data analysis method as described above.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey
The step in wireless data analysis method as described above is realized when sequence is executed by processor.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (14)
1. a kind of wireless data analysis method, which is characterized in that it is applied to the first centralized unit data and analyzes CUDA entity, it is described
Method includes:
Receive the calculating task of the 2nd CUDA entity transmission；
The calculating for needing the 2nd CUDA entity to report is sent to the 2nd CUDA entity according to the calculating task received
Data and report configuration；
The 2nd CUDA entity is received according to the calculating data for reporting configuration to report；
The calculating data reported according to the 2nd CUDA entity are that the 2nd CUDA entity is calculated, and by calculated result
It is sent to the 2nd CUDA entity.
2. wireless data analysis method according to claim 1, which is characterized in that the 2nd CUDA entity of the reception is sent
Calculating task the step of before, the method also includes:
Itself holotype identity and entity information are broadcasted in a network；
The registration request for the request registration slave pattern identity that the 2nd CUDA entity is sent is received, includes in the registration request
There are the identity information and ability information of the 2nd CUDA entity；
Confirmation registration information is sent to the 2nd CUDA entity.
3. wireless data analysis method according to claim 1, which is characterized in that the method also includes:
The data interaction request that the 2nd CUDA entity is sent is received, the data interaction request indicates that the first CUDA is real
Body replaces the 2nd CUDA entity and core network element to carry out data interaction.
4. wireless data analysis method according to claim 1, which is characterized in that the method also includes:
The registration request of request registration slave pattern identity is sent to the 2nd CUDA entity, includes in the registration request
State the identity information and ability information of the first CUDA entity；
Receive the confirmation registration information that the 2nd CUDA entity is sent.
5. wireless data analysis method according to claim 4, which is characterized in that described to receive the 2nd CUDA entity
After the step of confirmation registration information of transmission, the method also includes:
Calculating task is sent to the 2nd CUDA entity；
Receive the calculating data and report configuration that needs the first CUDA entity that the 2nd CUDA entity is sent reports；
Configuration is reported to report calculating data to the 2nd CUDA entity according to described；
Receive the calculated result that the 2nd CUDA entity is sent.
6. wireless data analysis method according to claim 4, which is characterized in that the method also includes:
Data interaction request is sent to the 2nd CUDA entity, the data interaction request indicates the 2nd CUDA entity generation
Data interaction is carried out for the first CUDA entity and core network element.
7. a kind of wireless data analytical equipment, which is characterized in that it is applied to the first centralized unit data and analyzes CUDA entity, it is described
Device includes transceiver and processor:
The transceiver is used to receive the calculating task that the 2nd CUDA entity is sent, according to the calculating task received to described the
Two CUDA entities send the calculating data for needing the 2nd CUDA entity to report and report configuration, and it is real to receive the 2nd CUDA
Body is according to the calculating data for reporting configuration to report；
Calculating data of the processor by being reported according to the 2nd CUDA entity are based on the 2nd CUDA entity carries out
It calculates；
The transceiver is also used to for calculated result to be sent to the 2nd CUDA entity.
8. wireless data analytical equipment according to claim 7, which is characterized in that
The transceiver is also used to broadcast the holotype identity and entity information of itself in a network, and it is real to receive the 2nd CUDA
The registration request of slave pattern identity is registered in the request that body is sent, and includes the body of the 2nd CUDA entity in the registration request
Part information and ability information, the 2nd CUDA entity of Xiang Suoshu send confirmation registration information.
9. wireless data analytical equipment according to claim 7, which is characterized in that
The transceiver is also used to receive the data interaction request that the 2nd CUDA entity is sent, and the data interaction request refers to
Show that the first CUDA entity replaces the 2nd CUDA entity and core network element to carry out data interaction.
10. wireless data analytical equipment according to claim 7, which is characterized in that
The transceiver is also used to send the registration request of request registration slave pattern identity, the note to the 2nd CUDA entity
Include the identity information and ability information of the first CUDA entity in volume request, receives what the 2nd CUDA entity was sent
Confirm registration information.
11. wireless data analytical equipment according to claim 10, which is characterized in that
The transceiver is also used to send calculating task to the 2nd CUDA entity, receives what the 2nd CUDA entity was sent
The calculating data that need the first CUDA entity to report and configuration is reported, reports configuration to the 2nd CUDA reality according to described
Body reports calculating data, receives the calculated result that the 2nd CUDA entity is sent.
12. wireless data analytical equipment according to claim 10, which is characterized in that
The transceiver is also used to send data interaction request, the data interaction request instruction institute to the 2nd CUDA entity
It states the 2nd CUDA entity and carries out data interaction instead of the first CUDA entity and core network element.
13. a kind of centralized unit data analyze CUDA entity, including memory, processor and it is stored on the memory and can
The computer program run on the processor；It is characterized in that, the processor realizes such as right when executing described program
It is required that wireless data analysis method described in any one of 1-6.
14. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
It realizes when execution such as the step in wireless data analysis method of any of claims 1-6.
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