CN109561444A - A kind of wireless data processing method and system - Google Patents
A kind of wireless data processing method and system Download PDFInfo
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- CN109561444A CN109561444A CN201710883248.0A CN201710883248A CN109561444A CN 109561444 A CN109561444 A CN 109561444A CN 201710883248 A CN201710883248 A CN 201710883248A CN 109561444 A CN109561444 A CN 109561444A
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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Abstract
The present invention provides a kind of wireless data processing method and system, belong to field of communication technology.Wireless data processing method includes: acquisition wireless network data and link data；Utilize the data acquisition or the wireless Policy model of update of acquisition；Distribute the wireless Policy model to real-time policy computing unit, current wireless policy configuration parameter is calculated so that real time data and/or characteristic are input to the wireless Policy model by the real-time policy computing unit；Distribute wireless policy configuration parameter and carries out strategy execution to corresponding execution unit.Technical solution of the present invention can carry out radio-resource-configuration based on big data.
Description
Technical field
The present invention relates to fields of communication technology, particularly relate to a kind of wireless data processing method and system.
Background technique
Wireless big data is mainly used in network planning optimization and mobile edge storage, content distribution etc. at present.Network rule
Draw is to be found network blind spot and hot spot based on offline big data analysis, network is instructed to dispose.The master of the optimization of the network planning at present
Working is MR (Measurement Report, the measurement report) number for concentrating on road test data or terminal side and base station side
According to, signal collecting, network management index, work ginseng (including site longitude and latitude, stand height, RF radio frequency parameter) data etc. to net from chain of command
Network parameter optimizes, such as power, interoperability, timer, mobility parameters optimization etc..
Existing network and based on big data the network planning optimization have the following problems:
Conventional wireless network sensing capability and analysis ability are insufficient, are passive type communication mode；
The partial function of wireless network is still static, extensive configuration, does not consider individual difference and various dimensions environmental information
Potential impact；
Conservative design towards peak value and limitation scene, is not able to satisfy new business demand
Based on classical theory model, but theoretical model causes network performance to lose with actual otherness.
Also, user behavior is not excavated adequately currently based on the network planning prioritization scheme of big data to the excellent of network
Change；Based on the either prolonged chain of command configuration of offline analysis, usually minute rank does not adapt to Radio Link
Quickly variation.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of wireless data processing method and system, can be based on big data
Carry out radio-resource-configuration.
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 processing method is provided, comprising:
Acquire wireless network data and link data；
Utilize the data acquisition or the wireless Policy model of update of acquisition；
Distribute the wireless Policy model to real-time policy computing unit, so that the real-time policy computing unit will be real-time
Data and/or characteristic are input to the wireless Policy model and current wireless policy configuration parameter are calculated；
Distribute wireless policy configuration parameter and carries out strategy execution to corresponding execution unit.
Further, further includes:
The characteristic is calculated or updated using the data of acquisition.
Further, the network data of acquisition and link data include but is not limited to:
Uu mouthfuls of data and signaling data；
Base station configuration parameter；
The inter-process data of CU and DU；
Characteristic；
The method of acquisition includes but is not limited to subscription, activly request, monitors acquisition, and the time of acquisition is periodic or thing
Part triggering.
Further, the characteristic be statistical nature data and/or characteristic classification data, including but not limited to:
User location distribution probability characteristics；
Terminal demodulation ability feature；
QoS of survice feature；
Business load feature；
Channel distribution feature.
Further, the wireless policy configuration parameter includes but is not limited to:
Power control strategy；
Dispatch resource instruction；
Multiple-input and multiple-output MIMO transmission mode；
Modulation and coding strategy MCS；
Hybrid automatic repeat-request HARQ mode；
Reference signal pattern；
Collaboration site cooperation mode.
Further, the wireless Policy model includes but is not limited to:
MCS preference pattern；
Mobility handover decisions model；
Beam switchover policy model；
TCP window Policy model；
Resource allocation policy model.
The embodiment of the invention also provides a kind of radio data processing systems, comprising:
Data acquisition unit, for acquiring wireless network data and link data；
Model training unit for the data acquisition using acquisition or updates wireless Policy model；
Real-time policy computing unit is input to the wireless Policy model for real time data and/or characteristic and calculates
Obtain current wireless policy configuration parameter；
Execution unit, for executing corresponding radio-resource-configuration and optimization according to wireless policy configuration parameter.
Further, further includes:
Feature calculation unit, for calculating or updating characteristic according to the collected data.
Further, the model training unit will be for that will calculate or updated wireless Policy model issues or according to ordering
The demand of readding is pushed to corresponding real-time policy computing unit.
Further, the feature calculation unit is used to calculate or updated characteristic issues or according to subscription need
It asks and is pushed to corresponding real-time policy computing unit and model training unit.
Further, the real-time policy computing unit is actively to the model training unit, the data acquisition unit
Wireless Policy model, real time data and characteristic needed for being subscribed to the feature calculation unit.
Further, the data acquisition unit and the model training unit are located at CU node；
The real-time policy computing unit and the execution unit are located at DU node；
The data acquisition unit and the feature calculation unit are located at core network data processing node.
It further, further include feature calculation unit and real-time policy computing unit in the CU node；Or further include
Real-time policy computing unit and execution unit；
The core network data processing node further includes data acquisition unit and model training unit.
Further, the data acquisition unit of CU node at least acquires the number of data and CU node itself from DU node
According to, and the characteristic of feature calculation unit of the acquisition from core network data processing node；The model training list of CU node
Member is at least to the real-time policy computing unit distribution model of DU node；
The real-time policy computing unit of DU node carries out nothing at least with the computation model of the model training unit of CU node
Line policy calculation；
The data acquisition unit of core network data processing node at least acquires the data from CU node, at core network data
Manage the characteristic that the feature calculation unit of node is at least calculated to the distribution of CU node.
The embodiment of the invention also provides a kind of communication node, including memory, processor and it is stored in the memory
Computer program that is upper and can running on the processor；The processor realizes nothing as described above when executing described program
Line data processing method.
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 processing 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, communication node is able to carry out data acquisition, and data based on acquisition carry out forecast analysis and
Radio-resource-configuration, being can use in wireless network in this way includes using data, user data, network data and radio chains number
Wireless network transmissions are optimized according to mass data inside, from the angle of data science, to wireless network
Data surface and control plane optimize.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of wireless data processing of embodiment of the present invention method；
Fig. 2 is the structural schematic diagram of radio data processing system of the embodiment of the present invention；
Fig. 3 is the block schematic illustration of communication system of the embodiment of the present invention.
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.
With the enhancing of computing capability and the cheap of storage resource, future wireless network will be provided with big data storage and meter
Calculation ability can use mass data in wireless network in this way, including apply data, user data, network data and radio chains
Circuit-switched data optimizes wireless network transmissions.Big data can provide following ability to wireless network: excavate potential
Context information provides and predicts, provides advanced discrete decision capability approach (machine learning/deep learning) etc..Based on above-mentioned
Analysis, future wireless network should go deep into excavating user behavior, and from the angle of data science, to the data surface of wireless network
It is optimized with control plane.
For the optimization design target for supporting this low time delay based on big data processing, wireless network needs to have new function
Can: such as data acquisition, feature calculation, forecast analysis and Optimal Decision-making process, and hundred ms grades of processing delay of satisfaction.Of the invention
Embodiment provides a kind of wireless data processing method and centralized unit, can carry out radio-resource-configuration based on big data.
The embodiment of the present invention provides a kind of wireless data processing method, as shown in Figure 1, which comprises
Step 101, acquisition wireless network data and link data；
Step 102, data acquisition or the wireless Policy model of update using acquisition；
Step 103, the distribution wireless Policy model to real-time policy computing unit, so that the real-time policy calculates list
Real time data and/or characteristic are input to the wireless Policy model and current wireless strategy configuration ginseng are calculated by member
Number；
Step 104 distributes wireless policy configuration parameter to corresponding execution unit progress strategy execution.
In the present embodiment, it is able to carry out data acquisition, and the data based on acquisition carry out forecast analysis and radio resource
Configuration, being can use in wireless network in this way includes applying data, user data, including network data and data wireless links
Mass data optimizes wireless network transmissions, from the angle of data science, data surface to wireless network and
Control plane optimizes.
Further, the method also includes:
The characteristic is calculated or updated using the data of acquisition.
Further, the network data of acquisition and link data comprise at least one of the following:
Uu mouthfuls of data and signaling data, such as: RSRP (Reference Signal Receiving Power, reference signal
Receive power), RSRQ (Reference Signal Receiving Quality, Reference Signal Received Quality), PMI
(Precoding Matrix Indicator, pre-coding matrix instruction), RI (rank indication, order instruction), CQI
(Channel Quality Indicator, channel quality instruction), AOA (receiving end angle of arrival), AOD (transmitting terminal leaves angle),
MAC (Media Access Control, media access control) buffer (caching) size etc.；
Base station configuration parameter, such as: site longitude and latitude, high, RF (Radio Frequency, radio frequency) parameter of standing, antenna configuration
Information, frequency spectrum, type of site, website distribution etc.；
Characteristic；
The method of acquisition includes but is not limited to subscription, activly request, monitors acquisition, and the time of acquisition is periodic or thing
Part triggering.
Further, the characteristic be statistical nature data and/or characteristic classification data, including but not limited to:
User location distribution probability characteristics；
Terminal demodulation ability feature；
QoS of survice feature；
Business load feature；
Channel distribution feature.
Further, the wireless policy configuration parameter includes but is not limited to:
Power control strategy；
Dispatch resource instruction；
Multiple-input and multiple-output MIMO (multiple-input and multiple-output) transmission mode；
MCS (modulation and coding strategy)；
Hybrid automatic repeat-request HARQ (hybrid automatic repeat-request) mode；
Reference signal pattern；
Collaboration site cooperation mode.
Further, the wireless Policy model comprises at least one of the following:
MCS selection sort device model；
Mobility adjudicates sorter model；
Mobility switching/beam handoff parameter, such as decision threshold, time timer；
Access control parameter, such as timer；
State conversion parameter in the switching of UE state, as state converts timer.
The embodiment of the invention also provides a kind of radio data processing systems, as shown in Figure 2, comprising:
Data acquisition unit, for acquiring wireless network data and link data；
Model training unit for the data acquisition using acquisition or updates wireless Policy model；
Real-time policy computing unit is input to the wireless Policy model for real time data and/or characteristic and calculates
Obtain current wireless policy configuration parameter；
Execution unit, for executing corresponding radio-resource-configuration and optimization according to wireless policy configuration parameter.
In the present embodiment, it is able to carry out data acquisition, and the data based on acquisition carry out forecast analysis and radio resource
Configuration, being can use in wireless network in this way includes applying data, user data, including network data and data wireless links
Mass data optimizes wireless network transmissions, from the angle of data science, data surface to wireless network and
Control plane optimizes.
Further, radio data processing system further include:
Feature calculation unit, for calculating or updating characteristic according to the collected data.
Further, the network data of acquisition and link data comprise at least one of the following:
Uu mouthfuls of data and signaling data, such as: RSRP (Reference Signal Receiving Power, reference signal
Receive power), RSRQ (Reference Signal Receiving Quality, Reference Signal Received Quality), PMI
(Precoding Matrix Indicator, pre-coding matrix instruction), RI (rank indication, order instruction), CQI
(Channel Quality Indicator, channel quality instruction), AOA (receiving end angle of arrival), AOD (transmitting terminal leaves angle),
MAC (Media Access Control, media access control) buffer (caching) size etc.；
Base station configuration parameter, such as: site longitude and latitude, high, RF (Radio Frequency, radio frequency) parameter of standing, antenna configuration
Information, frequency spectrum, type of site, website distribution etc.；
Characteristic；
The method of acquisition includes but is not limited to subscription, activly request, monitors acquisition, and the time of acquisition is periodic or thing
Part triggering.
Further, the characteristic be statistical nature data and/or characteristic classification data, including but not limited to:
User location distribution probability characteristics；
Terminal demodulation ability feature；
QoS of survice feature；
Business load feature；
Channel distribution feature.
Further, the wireless policy configuration parameter includes but is not limited to:
Power control strategy；
Dispatch resource instruction；
Multiple-input and multiple-output MIMO (multiple-input and multiple-output) transmission mode；
MCS (modulation and coding strategy)；
Hybrid automatic repeat-request HARQ (hybrid automatic repeat-request) mode；
Reference signal pattern；
Collaboration site cooperation mode.
Further, the wireless Policy model comprises at least one of the following:
MCS selection sort device model；
Mobility adjudicates sorter model；
Mobility switching/beam handoff parameter, such as decision threshold, time timer；
Access control parameter, such as timer；
State conversion parameter in the switching of UE state, as state converts timer.
Further, the model training unit will be for that will calculate or updated wireless Policy model issues or according to ordering
The demand of readding is pushed to corresponding real-time policy computing unit.
Further, the feature calculation unit is used to calculate or updated characteristic issues or according to subscription need
It asks and is pushed to corresponding real-time policy computing unit and model training unit.
Wherein, real-time policy computing unit actively to other units subscribe to needed for wireless Policy model, real time data and
Characteristic.
Fig. 3 show the block schematic illustration of communication system, as shown in figure 3, a large amount of CU (collection is distributed in a communications system
Middle unit), it is distributed with multiple DU (distributed unit) under each CU, one or more UE is distributed under DU, CU can receive core
The data of heart net.
Wherein, the data acquisition unit, model training unit, feature calculation unit, real-time policy computing unit, execution
Unit is located in core network data processing node, CU node and DU node, wherein data acquisition unit, model training unit position
In CU node, real-time policy computing unit, execution unit are located at DU node, and data acquisition unit, feature calculation unit are located at core
Heart network data handles node.
It comprising feature calculation unit, real-time policy computing unit, real-time policy computing unit or can also be held in CU node
Row unit.
It can also include data acquisition unit and model training unit that core network data, which handles node,.
The data acquisition unit of CU at least acquires the data of data and CU itself from DU, can also acquire from core
The characteristic of network data processing node diagnostic computing unit；The model training unit of CU is at least to the real-time policy meter of DU node
Calculate unit distribution model；
The real-time policy computing unit of DU carries out wireless strategy at least with the computation model of CU nodal analysis method training unit
It calculates；
The data acquisition unit of core network data processing node at least acquires the data from CU, core network data processing section
The characteristic that the feature calculation unit of point is at least calculated to the distribution of CU node.
Wherein, the interaction between core network data processing node and CU is triggered based on event, pushes user UE and service
Profile (business description file) gives CU.
Interaction between CU is periodical interaction or event triggering interaction, and interactive information includes user mobility information: being moved
Dynamic speed, direction；Service condition, the service request that future may initiate；Resource allocation conditions: when/frequency/sky/code/reference letter
Number/RACH (Random Access Channel, random access channel) resource etc..
The embodiment of the invention also provides a kind of communication node, including memory, processor and it is stored in the memory
Computer program that is upper and can running on the processor；The processor realizes nothing as described above when executing described program
Line data processing method.
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 processing 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 (16)
1. a kind of wireless data processing method characterized by comprising
Acquire wireless network data and link data；
Utilize the data acquisition or the wireless Policy model of update of acquisition；
Distribute the wireless Policy model to real-time policy computing unit, so that the real-time policy computing unit is by real time data
And/or characteristic is input to the wireless Policy model and current wireless policy configuration parameter is calculated；
Distribute wireless policy configuration parameter and carries out strategy execution to corresponding execution unit.
2. wireless data processing method according to claim 1, which is characterized in that further include:
The characteristic is calculated or updated using the data of acquisition.
3. wireless data processing method according to claim 1, which is characterized in that the network data and link data of acquisition
Including but not limited to:
Uu mouthfuls of data and signaling data；
Base station configuration parameter；
The inter-process data of CU and DU；
Characteristic；
The method of acquisition includes but is not limited to subscription, activly request, monitors acquisition, and the time of acquisition is the touching of periodic or event
Hair.
4. wireless data processing method according to claim 1, which is characterized in that the characteristic is statistic quality
According to and/or characteristic classification data, including but not limited to:
User location distribution probability characteristics；
Terminal demodulation ability feature；
QoS of survice feature；
Business load feature；
Channel distribution feature.
5. wireless data processing method according to claim 1, which is characterized in that the wireless policy configuration parameter includes
But it is not limited to:
Power control strategy；
Dispatch resource instruction；
Multiple-input and multiple-output MIMO transmission mode；
Modulation and coding strategy MCS；
Hybrid automatic repeat-request HARQ mode；
Reference signal pattern；
Collaboration site cooperation mode.
6. wireless data processing method according to claim 1, which is characterized in that the wireless Policy model includes but not
It is limited to:
MCS preference pattern；
Mobility handover decisions model；
Beam switchover policy model；
TCP window Policy model；
Resource allocation policy model.
7. a kind of radio data processing system characterized by comprising
Data acquisition unit, for acquiring wireless network data and link data；
Model training unit for the data acquisition using acquisition or updates wireless Policy model；
Real-time policy computing unit is input to the wireless Policy model for real time data and/or characteristic and is calculated
Current wireless policy configuration parameter；
Execution unit, for executing corresponding radio-resource-configuration and optimization according to wireless policy configuration parameter.
8. radio data processing system according to claim 7, which is characterized in that further include:
Feature calculation unit, for calculating or updating characteristic according to the collected data.
9. radio data processing system according to claim 7, which is characterized in that
The model training unit is used to calculate or updated wireless Policy model is issued or is pushed to according to subscription demand
Corresponding real-time policy computing unit.
10. radio data processing system according to claim 8, which is characterized in that
The feature calculation unit is used to calculate or updated characteristic is issued or is pushed to accordingly according to subscription demand
Real-time policy computing unit and model training unit.
11. radio data processing system according to claim 8, which is characterized in that
The real-time policy computing unit is actively to the model training unit, the data acquisition unit and the feature calculation
Unit subscribes to required wireless Policy model, real time data and characteristic.
12. radio data processing system according to claim 8, which is characterized in that
The data acquisition unit and the model training unit are located at CU node；
The real-time policy computing unit and the execution unit are located at DU node；
The data acquisition unit and the feature calculation unit are located at core network data processing node.
13. radio data processing system according to claim 12, which is characterized in that
It further include feature calculation unit and real-time policy computing unit in the CU node；It or further include that real-time policy calculates list
Member and execution unit；
The core network data processing node further includes data acquisition unit and model training unit.
14. radio data processing system according to claim 12, which is characterized in that
The data acquisition unit of CU node at least acquires the data of data and CU node itself from DU node, and acquisition comes
From the characteristic of the feature calculation unit of core network data processing node；The model training unit of CU node is at least to DU node
Real-time policy computing unit distribution model；
The real-time policy computing unit of DU node carries out wireless plan at least with the computation model of the model training unit of CU node
Approximation is calculated；
The data acquisition unit of core network data processing node at least acquires the data from CU node, core network data processing section
The characteristic that the feature calculation unit of point is at least calculated to the distribution of CU node.
15. a kind of communication node, including memory, processor and it is stored on the memory and can transports on the processor
Capable computer program；It is characterized in that, the processor is realized as described in claim any one of 1-6 when executing described program
Wireless data processing method.
16. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The step in wireless data processing method as described in any one of claims 1 to 6 is realized when execution.
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Application publication date: 20190402 |