CN108200590A - Interference cognitive method, the apparatus and system of wireless communication - Google Patents
Interference cognitive method, the apparatus and system of wireless communication Download PDFInfo
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- CN108200590A CN108200590A CN201810091929.8A CN201810091929A CN108200590A CN 108200590 A CN108200590 A CN 108200590A CN 201810091929 A CN201810091929 A CN 201810091929A CN 108200590 A CN108200590 A CN 108200590A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The present invention relates to interference cognitive method, device and the equipment of a kind of wireless communication, the method may include：According to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, the communications status mark value of each sub-band group is obtained；According to each communications status mark value and the initial interference measurement value of each sub-band group, current training series is generated, and obtain the corresponding likelihood probability of current training sequence；In the current interference measure for getting wireless communication system to be measured, according to current interference measure and likelihood probability, the interference for generating wireless communication system to be measured perceives quantized values.The service efficiency of frequency spectrum can be improved using this method, and then ensures the transmission performance of wireless communication system, improves the accuracy that interference perceives judging result.
Description
Technical field
The present invention relates to fields of communication technology, more particularly to a kind of interference cognitive method of wireless communication, device and are
System.
Background technology
With the rapid development of wireless communication technique, a large amount of wireless telecom equipment is widely deployed, and co-channel interference is always
It is one of principal element for reducing network performance, how solves the interference problem that spectrum reuse is brought, be always the research of industry
Emphasis.And the availability of frequency spectrum is improved under interference environment, on condition that the disturbed condition in bandwidth of operation and its influence brought
Have accurately to perceive and judge.
In current wireless communication system, traditional method for perceiving judgement to interference has：1st, absolute threshold method, i.e. root
According to a certain threshold value, interfering energy is more than the threshold value, then it is assumed that the frequency range has been disturbed；2nd, relative threshold method, according to son
The statistical nature of carrier-in-interference energy will interfere and most strong a certain be considered disturbed than row subcarrier.But absolute threshold method
It is difficult the rational threshold value of selection, needs largely to test to obtain empirical value, and communication environment, the distribution of user, modulation
The change of the factors such as demodulation mode, channel coding method can cause original effective experience value to fail.And relative threshold method is easy
It causes to judge by accident, i.e., when full frequency band interferes, can judge that only band segment receives interference；Or in noiseless environment, judgement
Band segment receives interference, so as to cause the failed transmission of the waste of resource and data.
During realization, inventor has found that at least there are the following problems in traditional technology：Traditional being perceived to interference is sentenced
Disconnected is typically only to be judged according to interference measure, and the actual effect that reflection interference carrys out the conveyor of system feels interference
Know that the accuracy of result is low, it is impossible to ensure the transmission performance of wireless communication system.
Invention content
Based on this, it is necessary to the problem of judging result accuracy is low is perceived to interference in traditional technical solution, this
Invention provides interference cognitive method, the apparatus and system of a kind of wireless communication.
To achieve these goals, on the one hand, an embodiment of the present invention provides a kind of interference cognitive method of wireless communication,
Include the following steps：
According to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, the logical of each sub-band group is obtained
Believe status indication value；
According to each communications status mark value and the initial interference measurement value of each sub-band group, current training series is generated, and
Obtain the corresponding likelihood probability of current training sequence；
It is general according to current interference measure and likelihood in the current interference measure for getting wireless communication system to be measured
Rate, the interference for generating wireless communication system to be measured perceive quantized values.
Include in one of the embodiments, and the step of obtaining current training sequence corresponding likelihood probability：
Current training series is handled by machine learning, obtains likelihood probability.
The step of handling current training series by machine learning in one of the embodiments, obtaining likelihood probability is wrapped
It includes：
Current training sequence is counted, obtains corresponding to the conditional probability of current training sequence and corresponding communications status mark
The prior probability of note value；
By Bayesian Method treatment conditions probability and prior probability, likelihood probability is obtained.
In one of the embodiments, after the step of interference for generating wireless communication system to be measured perceives quantized values
Including：
According to current interference measure and the corresponding Current Communications Status mark value of current interference measure, current instruction is generated
Practice value, and by the addition of current trained values in current training series.
In one of the embodiments, according to wireless communication system bandwidth of operation to be measured each sub-band group communication shape
State, in the step of obtaining the communications status mark value of each sub-band group：
When the success communication ratio value of each sub-band in sub-band group is more than or equal to predetermined threshold value, by communications status mark
Note value is labeled as the first numerical value；
When the success communication ratio value of each sub-band in sub-band group is less than predetermined threshold value, by communications status mark value
Labeled as second value.
Interference measure includes interfering energy, interference signal amplitude and Signal to Interference plus Noise Ratio in one of the embodiments,；
Sub-band group includes several sub-bands；Sub-band includes subcarrier, resource block and resource block group.
On the other hand, the embodiment of the present invention additionally provides a kind of interference sensing device of wireless communication, including：
Communication state value acquiring unit, for the communication according to each sub-band group in wireless communication system bandwidth of operation to be measured
State obtains the communications status mark value of each sub-band group；
Likelihood probability acquiring unit, for the initial interference measurement according to each communications status mark value and each sub-band group
Value generates current training series, and obtains the corresponding likelihood probability of current training sequence；
Interference perceives processing unit, in the current interference measure for getting wireless communication system to be measured, according to
Current interference measure and likelihood probability, the interference for generating wireless communication system to be measured perceive quantized values.
Include in one of the embodiments,：
Statistical disposition unit, for being counted to current training sequence, the condition for obtaining corresponding to current training sequence is general
The prior probability of rate and corresponding communications status mark value；
Bayes's processing unit for passing through Bayesian Method treatment conditions probability and prior probability, obtains likelihood probability.
On the other hand, the embodiment of the present invention additionally provides a kind of interference sensory perceptual system of wireless communication, including memory, place
The computer program managed device and storage on a memory and can run on a processor, processor are realized when performing computer program
The step of interference cognitive method of above-mentioned wireless communication.
On the other hand, the embodiment of the present invention additionally provides a kind of computer readable storage medium, is stored thereon with computer
The step of program, which realizes the interference cognitive method of above-mentioned wireless communication when being executed by processor.
A technical solution in above-mentioned technical proposal has the following advantages that and advantageous effect：
According to the interference measure of each sub-band group and communications status mark value, current training sequence is generated；And it obtains pair
Should before training sequence likelihood probability；In the current interference measure for getting wireless communication system to be measured, according to current
Interference measure and likelihood probability, the interference for generating wireless communication system to be measured perceive quantized values, improve the use of frequency spectrum
Efficiency, and then ensure the transmission performance of wireless communication system, improve the accuracy that interference perceives judging result.
Description of the drawings
Fig. 1 is the applied environment figure of interference cognitive method wirelessly communicated in one embodiment；
Fig. 2 is the flow diagram of interference cognitive method wirelessly communicated in one embodiment；
Fig. 3 is the flow diagram of likelihood probability obtaining step in one embodiment；
Fig. 4 is the flow diagram of interference cognitive method wirelessly communicated in another embodiment；
Fig. 5 is the flow diagram of interference cognitive method wirelessly communicated in another embodiment；
Fig. 6 is the interference measurement schematic diagram of interference cognitive method wirelessly communicated in one embodiment；
Fig. 7 is the structure diagram of interference sensing device wirelessly communicated in one embodiment；
Fig. 8 is the structure diagram of interference sensing device wirelessly communicated in another embodiment；
Fig. 9 is the internal structure chart of interference sensory perceptual system wirelessly communicated in one embodiment.
Specific embodiment
For the ease of understanding the present invention, the present invention is described more fully below with reference to relevant drawings.In attached drawing
Give the preferred embodiment of the present invention.But the present invention can realize in many different forms, however it is not limited to this paper institutes
The embodiment of description.On the contrary, the purpose for providing these embodiments is made to the disclosure more thorough and comprehensive.
Unless otherwise defined, all of technologies and scientific terms used here by the article is with belonging to technical field of the invention
The normally understood meaning of technical staff is identical.Term used in the description of the invention herein is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.Term as used herein " and/or " including one or more phases
The arbitrary and all combination of the Listed Items of pass.
The interference cognitive method for the wireless communication that the application provides, can be applied in application environment as shown in Figure 1.Its
In, the first communication equipment 102 is communicated by network with the second communication equipment 104 by network.By obtaining the second communication
The communications status mark value of each sub-band group and the initial interference measurement of each sub-band group in the bandwidth of operation that equipment 104 communicates
Value generates current training system, and obtains the corresponding likelihood probability of current training series；Getting the first communication equipment 104
Current interference measure when, according to current interference measure and likelihood probability, the interference of the first communication equipment 104 of generation perceives
Quantized values.Wherein, the first communication equipment 102 can be, but not limited to be various personal computers, laptop, intelligent hand
Machine, tablet computer and portable wearable device, the second communication equipment 104 can use independent base station either multiple group of base stations
Into cluster of base stations realize.
In one embodiment, as shown in Fig. 2, providing a kind of interference cognitive method of wireless communication, in this way should
For being illustrated for the first communication equipment in Fig. 1, include the following steps：
Step S210 according to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, obtains each son
The communications status mark value of frequency band group.
Wherein, wireless communication system to be measured refers to the terminal device with wireless communication function.Bandwidth of operation refers to
The spectrum width of frequency band.Sub-band group refers to original signal being divided into several groups according to frequency domain.Communications status refers to son
The data transmission state of several sub-bands that frequency band group includes, communications status mark value refer to several in sub-band group
The communications status of sub-band and determining mark value.Preferably, if communications status mark value can be in sub-band group
The ratio of dry sub-band success communication or failed communication and determining mark value.
Specifically, total frequency band in wireless communication system bandwidth of operation to be measured is divided into several sub-band groups, according to son
The communications status of frequency band group, for example, each sub-band in sub-band group whether Successful transmissions data, obtain sub-band group
Communications status mark value.It preferably, can be according to the success rate of the data transmission of sub-band group, to determine the communication shape of sub-band group
State mark value.
Step S220 according to each communications status mark value and the initial interference measurement value of each sub-band group, generates current instruction
Practice series, and obtain the corresponding likelihood probability of current training sequence.
Wherein, initial interference measurement value refers to the spectral interference measured value in wireless communication system bandwidth of operation to be measured.
Current training series can be the initial interference measurement value of the communications status mark value and each sub-band group according to each sub-band group
The training series of composition.Likelihood probability refers to predicting the probability function for exporting result according to input parameter.
Specifically, the initial interference measurement value of each sub-band group in wireless communication system bandwidth of operation to be measured is obtained, according to
The initial interference measurement value of the communications status mark value of each sub-band group and each sub-band group generates current training series, and obtains
Take the corresponding likelihood probability of current training sequence.So as to obtain that the sensor model (likelihood of interference perception can be carried out to input signal
Probability), the real-time interference measure to get improves accurate interference perception information.
Step S230, in the current interference measure for getting wireless communication system to be measured, according to current interference measurement
Value and likelihood probability, the interference for generating wireless communication system to be measured perceive quantized values.
Wherein, current interference measure refers to the interference measure measured in real time.Interference perceives quantized values and refers to
Current interference measure is by likelihood probability operation, obtained interference perception value.
Specifically, real-time interference measurement is carried out to wireless communication system to be measured, is getting wireless communication system to be measured
During current interference measure, by the current interference measure by likelihood probability operation, the dry of wireless communication system to be measured is generated
Disturb perception quantized values.So as to obtain the interference sensing results for the sub-band for corresponding to the current interference measure, and to the result
Accuracy provide quantized values, providing more accurate sub-band quality using the functional entity of sub-band for follow-up scheduling believes
Breath.
In the interference cognitive method embodiment of above-mentioned wireless communication, according to the interference measure of each sub-band group and communication shape
State mark value generates current training sequence；And obtain corresponding to the likelihood probability of current training sequence；Getting channel radio to be measured
During the current interference measure of letter system, according to current interference measure and likelihood probability, wireless communication system to be measured is generated
Interference perceives quantized values, improves the service efficiency of frequency spectrum, and then ensure the transmission performance of wireless communication system, improves dry
Disturb the accuracy for perceiving judging result.
In one embodiment, and the step of obtaining current training sequence corresponding likelihood probability include：Pass through engineering
The current training series of processing is practised, obtains likelihood probability.
Specifically, machine learning processing is carried out to currently training series, likelihood probability is obtained, so as to pass through the likelihood probability
Interference perception can be carried out to the interference measure obtained in real time, and obtain interference and perceive corresponding quantized values.
In one embodiment, as shown in figure 3, handling current training series by machine learning, likelihood probability is obtained
Step includes：
Step S310 counts current training sequence, obtains corresponding to the conditional probability and correspondence of current training sequence
The prior probability of communications status mark value.
Wherein, machine learning can be Bayesian Method.
Specifically, by being counted to currently training serial (X, Y), obtain corresponding to the item of current training sequence (X, Y)
The prior probability P (Y) of part probability P (X | Y) and corresponding communications status mark value Y.Wherein initial interference measurement value is X.
Step S320 by Bayesian Method treatment conditions probability and prior probability, obtains likelihood probability.
Specifically, by Bayesian Method treatment conditions probability P (X | Y) and prior probability P (Y), obtain likelihood probability P (Y |
X)。
In above-described embodiment, by carrying out Bayesian Method processing to getting current training series, likelihood probability is obtained, from
And when the interference measure obtained in real time carries out interference perception, it can be obtained quickly and accurately by the likelihood probability operation
Interfere the quantized value of sensing results.
In one embodiment, it is wrapped after the step of interference for generating wireless communication system to be measured perceives quantized values
It includes：According to current interference measure and the corresponding Current Communications Status mark value of current interference measure, current trained values are generated,
And by the addition of current trained values in current training series.
Specifically, when carrying out real-time interference measurement and perceiving, according to real-time interference measurement obtain current interference measure and
The corresponding Current Communications Status mark value of current interference measure, and according to current interference measure and current interference measure pair
The Current Communications Status mark value answered generates current trained values, and by the addition of current trained values in current training series.So as to excellent
Change current training system so that the quantized values perceived by the interference of likelihood probability are more accurate, improve interference and perceive and sentence
The accuracy of disconnected result.
In one embodiment, according to wireless communication system bandwidth of operation to be measured each sub-band group communications status,
In the step of obtaining the communications status mark value of each sub-band group：The success communication ratio value of each sub-band in sub-band group
During more than or equal to predetermined threshold value, communications status mark value is labeled as the first numerical value；Each sub-band in sub-band group into
When work(communication ratio value is less than predetermined threshold value, communications status mark value is labeled as second value.
Specifically, each sub-band in sub-band group whether success communication, can be judged by receiving feedback information.Such as
The feedback information ratio value of the success communication received in sub-band group is more than or equal to predetermined threshold value, can mark communications status
Value is labeled as the first numerical value；The feedback information ratio value of the success communication received in sub-band group is less than predetermined threshold value, can
Communications status mark value is labeled as second value.Wherein, the first numerical value and second value can arbitrarily be chosen.Preferably,
One numerical value can be 1, and second value can be 0.
In one embodiment, interference measure includes interfering energy, interference signal amplitude and Signal to Interference plus Noise Ratio；Sub-band group
Including several sub-bands；Sub-band includes subcarrier, resource block and resource block group.
In one embodiment, as shown in figure 4, for wirelessly communicated in another embodiment interference cognitive method flow
Schematic diagram.It is applied to illustrate for the first communication in Fig. 1 in this way, includes the following steps：
Step S410 according to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, obtains each son
The communications status mark value of frequency band group；
Step S420 according to each communications status mark value and the initial interference measurement value of each sub-band group, generates current instruction
Practice series, and obtain the corresponding likelihood probability of current training sequence；
Step S430, in the current interference measure for getting wireless communication system to be measured, according to current interference measurement
Value and likelihood probability, the interference for generating wireless communication system to be measured perceive quantized values.
Step S440, according to current interference measure and the corresponding Current Communications Status mark value of current interference measure,
Current trained values are generated, and by the addition of current trained values in current training series.
Specifically, by measuring in real time, the initial interference measurement value of each sub-band group is obtained, is denoted as X=(X0,…,XL -1), wherein L is sub-band group sum.It is assumed that several sub-band groups carry out interference perception together, communications status mark value is Y=
(Y0,…,YL-1).Y ∈ { 0,1 } are marked whether this group of sub-band can be used.The interference sense of all sub-bands in whole bandwidth
Know to carry out by group.X=(X are obtained by measurement0,…,XL-1) (X is the vector value of quantization), in measurement period, count phase
The ratio value of success communication on resource block is answered, provides a label Y=0 or Y=1；According to initial interference measurement value X=
(X0,…,XL-1) and communications status mark value be Y=(Y0,…,YL-1) obtain current training sequence (Xi,Yi)；By currently instructing
Practice sequence, design conditions probability P (X | Y), Y prior probability P (Y)；By Bayesian Method treatment conditions probability P (Y | X) and first
Probability P (Y) is tested, obtains likelihood probability P (Y | X).In the current interference measure for getting a certain sub-band group, and choose mark
Note value Y ∈ { 0,1 } obtain interference according to likelihood probability P (Y | X) and perceive quantized values, to judge the confidence level of the sub-band group.
And by this current interference measure and Current Communications Status mark value, current training sequence is added in as new current trained values
Row, by repetition training, currently training series, optimization likelihood probability improve the accuracy that interference perceives judging result.
In above-described embodiment, according to the interference measure of each sub-band group and communications status mark value, current training is generated
Sequence；And obtain corresponding to the likelihood probability of current training sequence；In the current interference measurement for getting wireless communication system to be measured
During value, according to current interference measure and likelihood probability, the interference for generating wireless communication system to be measured perceives quantized values；And root
According to current interference measure and Current Communications Status mark value, current trained values are generated, and current trained values are added current
Training series.The service efficiency of frequency spectrum is improved, and then ensures the transmission performance of wireless communication system, interference is improved and perceives and sentence
The accuracy of disconnected result.
In one embodiment, as shown in figure 5, for wirelessly communicated in another embodiment interference cognitive method flow
Schematic diagram.This method includes the following steps：
Step 1, interference measurement is carried out, obtains frequency spectrum initial interference measurement value (the initial interference measurement value in bandwidth of operation
Including but not limited to：Interfering energy, interference signal amplitude and Signal to Interference plus Noise Ratio etc.).
Step 2, (practical communication effect refers to the practical communication effect according to interference measure and in corresponding band
On a certain subcarrier whether Successful transmissions.It can be obtained by receiving terminal feedback information, such as in LTE (Long Term
Evolution：The long term evolution of universal mobile communications technology) in ACK (Acknowledgement：It informs to receive and read really
Symbol) it represents to receive successfully, NACK (Non-Acknowledgement：Inform unreceived confirmation character) represent reception failure),
Generate training sequence.
Step 3, by machine learning method, likelihood probability is obtained.
Step 4, when needing to carry out to interfere perception in real time, interference in real time is measured.
Step 5, after obtaining current interference measure in real time, the likelihood probability that is obtained by step 3, to judging subcarrier
Whether it is disturbed, and provides judgement confidence level.
Step 6, by current interference measure and practical communication effect, training sequence is added in as new training sample, it is excellent
Change likelihood probability.
In above-described embodiment, interference measure and practical effect can be combined, the interference for providing subcarrier perceives knot
Fruit, and quantized value is provided to the accuracy of the result, for follow-up scheduling more accurate son is provided using the functional entity of subcarrier
Carrier quality information improves frequency spectrum service efficiency, ensures the transmission performance of wireless communication system.
In one embodiment, as shown in fig. 6, being surveyed for the interference of interference cognitive method wirelessly communicated in one embodiment
Measure schematic diagram.With LTE/LTE-A (LTE-A：LTE-Advanced, Long Term Evolution upgrade version) for, as interference measurement with
Resource block (RB：Resource Block) it is unit, obtain the interference measure of N number of RB.According to the granularity of scheduling of resource into
Row grouping, interference perception is carried out to every group of RB.Enable X=(X0,…XL-1), Y vectorial for one group of interference measure comprising L RB
∈ { 0,1 } is the mark values that whether are disturbed of this group of RB, wherein 0 represent it is noiseless, 1 represent it is disturbed.
Specifically, interference measurement can be carried out according to the interference detecting method of existing LTE/LTE-A；Obtaining measured value X
Afterwards, the success rate of the data transmission in the corresponding frequency bands of X in corresponding measurement period is counted to determine Y, so as to generate one group of instruction
Practice vector value (X, Y), generate training sequence T={ (X in this approachi,Yi)}.Training sequence T=is handled by machine learning
{(Xi,Yi) likelihood probability is obtained, by training sequence, the general P (X of acquisition condition can be countedi|Yi), the prior probability P (Y) of Y,
By Bayesian Method, can obtain likelihood probability P (Y | Xi).When carrying out interference perception, interference measurement is carried out again, is obtained
Obtain interference measurement results x ' newly.Judge Y using formula (1).Confidence level Q is obtained according to formula (2).And by current interference measurement
Value and practical communication effect add in training sequence as new training sample, continue to optimize likelihood probability.
Y=argmaxy∈{0,1}P(y|x′) (1)
Q=P (Y | x ') (2)
In above-described embodiment, interference measure and practical effect can be combined, the interference for providing subcarrier perceives knot
Fruit, and quantized value is provided to the accuracy of the result, providing more accurate subcarrier quality using subcarrier for follow-up scheduling believes
Breath improves frequency spectrum service efficiency, ensures the transmission performance of wireless communication system, and then improves the standard that interference perceives judging result
Exactness.
It should be understood that although each step in the flow chart of Fig. 2-5 is shown successively according to the instruction of arrow,
These steps are not that the inevitable sequence indicated according to arrow performs successively.Unless it expressly states otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can perform in other order.Moreover, at least one in Fig. 2-5
Part steps can include multiple sub-steps, and either these sub-steps of multiple stages or stage are not necessarily in synchronization
Completion is performed, but can be performed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can either the sub-step of other steps or at least part in stage be in turn or alternately with other steps
It performs.
In one embodiment, as shown in fig. 7, providing a kind of interference sensing device of wireless communication, including：Communicate shape
State value acquiring unit 710, likelihood probability acquiring unit 720 and interference perceive processing unit 730, wherein：
Communication state value acquiring unit 710, for according to each sub-band group in wireless communication system bandwidth of operation to be measured
Communications status obtains the communications status mark value of each sub-band group.
Likelihood probability acquiring unit 720, for being surveyed according to the initial interference of each communications status mark value and each sub-band group
Magnitude generates current training series, and obtains the corresponding likelihood probability of current training sequence.
Interference perceives processing unit 730, in the current interference measure for getting wireless communication system to be measured, root
According to current interference measure and likelihood probability, the interference for generating wireless communication system to be measured perceives quantized values.
In one embodiment, likelihood probability acquiring unit can also be used to handle current training series by machine learning,
Obtain likelihood probability.
In one embodiment, as shown in figure 8, likelihood probability acquiring unit includes：
Statistical disposition unit 810 for being counted to current training sequence, obtains corresponding to the condition of current training sequence
The prior probability of probability and corresponding communications status mark value；
For passing through Bayesian Method treatment conditions probability and prior probability, it is general to obtain likelihood for Bayes's processing unit 820
Rate.
In one embodiment, the interference sensing device of wireless communication further includes：
Training series updating unit, for according to current interference measure and the corresponding present communications of current interference measure
Status indication value generates current trained values, and by the addition of current trained values in current training series.
The specific of interference sensing device about wireless communication limits the interference that may refer to above for wireless communication
The restriction of cognitive method, details are not described herein.Modules in the interference sensing device of above-mentioned wireless communication can whole or portion
Divide and realized by software, hardware and combinations thereof.Above-mentioned each module can be in the form of hardware embedded in or independently of computer equipment
In processor in, can also in a software form be stored in the memory in computer equipment, in order to processor calling hold
The corresponding operation of row more than modules.
In one embodiment, a kind of interference sensory perceptual system of wireless communication is provided, the interference of the wireless communication perceives
System can be communication equipment, and internal structure chart can be as shown in Figure 9.The interference sensory perceptual system of the wireless communication includes passing through
Processor, memory, network interface, display screen and the input unit of system bus connection.Wherein, the interference sense of the wireless communication
The processor of system is known for providing calculating and control ability.The memory of the interference sensory perceptual system of the wireless communication includes non-easy
The property lost storage medium, built-in storage.The non-volatile memory medium is stored with operating system and computer program.The built-in storage
Environment is provided for the operating system in non-volatile memory medium and the operation of computer program.The interference of the wireless communication perceives
The network interface of system is used to communicate by network connection with external terminal.With reality when the computer program is executed by processor
A kind of interference cognitive method of existing wireless communication.The display screen of the interference sensory perceptual system of the wireless communication can be liquid crystal display
Or electric ink display screen, the input unit of the interference sensory perceptual system of the wireless communication can be the touch covered on display screen
Button, trace ball or the Trackpad set on the shell of layer or the interference sensory perceptual system of wireless communication can also be outer
Keyboard, Trackpad or mouse for connecing etc..
It will be understood by those skilled in the art that the structure shown in Fig. 9, only part knot relevant with application scheme
The block diagram of structure does not form the restriction of the interference sensory perceptual system for the wireless communication being applied thereon to application scheme, specifically
The interference sensory perceptual system of wireless communication can include than components more or fewer shown in figure or the certain components of combination,
Or it is arranged with different components.
In one embodiment, a kind of interference sensory perceptual system of wireless communication is provided, including memory and processor, is deposited
Computer program is stored in reservoir, which realizes following steps when performing computer program：
According to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, the logical of each sub-band group is obtained
Believe status indication value；
According to each communications status mark value and the initial interference measurement value of each sub-band group, current training series is generated, and
Obtain the corresponding likelihood probability of current training sequence；
It is general according to current interference measure and likelihood in the current interference measure for getting wireless communication system to be measured
Rate, the interference for generating wireless communication system to be measured perceive quantized values.
In one embodiment, following steps are also realized when processor performs computer program：
According to current interference measure and the corresponding Current Communications Status mark value of current interference measure, current instruction is generated
Practice value, and by the addition of current trained values in current training series.
In one embodiment, a kind of computer readable storage medium is provided, is stored thereon with computer program, is calculated
Machine program realizes following steps when being executed by processor：
According to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, the logical of each sub-band group is obtained
Believe status indication value；
According to each communications status mark value and the initial interference measurement value of each sub-band group, current training series is generated, and
Obtain the corresponding likelihood probability of current training sequence；
It is general according to current interference measure and likelihood in the current interference measure for getting wireless communication system to be measured
Rate, the interference for generating wireless communication system to be measured perceive quantized values.
In one embodiment, following steps are also realized when computer program is executed by processor：
According to current interference measure and the corresponding Current Communications Status mark value of current interference measure, current instruction is generated
Practice value, and by the addition of current trained values in current training series.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein,
Any reference to memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchronization Link) DRAM (SLDRAM), memory bus (Rambus)
Direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above example can be combined arbitrarily, to make description succinct, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield is all considered to be the range of this specification record.
Embodiment described above only expresses the several embodiments of the application, and description is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that those of ordinary skill in the art are come
It says, under the premise of the application design is not departed from, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the protection domain of the application patent should be determined by the appended claims.
Claims (10)
1. the interference cognitive method of a kind of wireless communication, which is characterized in that include the following steps：
According to the communications status of each sub-band group in wireless communication system bandwidth of operation to be measured, the logical of each sub-band group is obtained
Believe status indication value；
According to each communications status mark value and the initial interference measurement value of each sub-band group, current training system is generated
Row, and obtain the corresponding likelihood probability of the current training sequence；
In the current interference measure for getting the wireless communication system to be measured, according to the current interference measure and institute
Likelihood probability is stated, the interference for generating the wireless communication system to be measured perceives quantized values.
2. the interference cognitive method of wireless communication according to claim 1, which is characterized in that described and obtain described current
The step of training sequence corresponding likelihood probability, includes：
The current training series is handled by machine learning, obtains the likelihood probability.
3. the interference cognitive method of wireless communication according to claim 2, which is characterized in that it is described by machine learning at
The step of managing the current training series, obtaining the likelihood probability includes：
The current training sequence is counted, obtain corresponding to the conditional probability of the current training sequence and is corresponded to described logical
Believe the prior probability of status indication value；
The conditional probability and the prior probability are handled by Bayesian Method, obtain the likelihood probability.
4. the interference cognitive method of wireless communication according to claim 1, which is characterized in that described to be measured wireless generating
The interference of communication system includes after perceiving the step of quantized values：
According to the current interference measure and the corresponding Current Communications Status mark value of the current interference measure, generation is worked as
Preceding trained values, and by the current trained values addition in the current training series.
5. the interference cognitive method of wireless communication according to claim 1, which is characterized in that described according to be measured wireless
The communications status of each sub-band group in communication system bandwidth of operation obtains the step of the communications status mark value of each sub-band group
In rapid：
When the success communication ratio value of each sub-band in the sub-band group is more than or equal to predetermined threshold value, by the communication shape
State mark value is labeled as the first numerical value；
When the success communication ratio value of each sub-band in the sub-band group is less than the predetermined threshold value, by the communication shape
State mark value is labeled as second value.
6. the interference cognitive method of wireless communication according to any one of claims 1 to 4, which is characterized in that described dry
It disturbs measured value and includes interfering energy, interference signal amplitude and Signal to Interference plus Noise Ratio；
The sub-band group includes several sub-bands；The sub-band includes subcarrier, resource block and resource block group.
7. a kind of interference sensing device of wireless communication, which is characterized in that including：
Communication state value acquiring unit, for the communication shape according to each sub-band group in wireless communication system bandwidth of operation to be measured
State obtains the communications status mark value of each sub-band group；
Likelihood probability acquiring unit, for being surveyed according to the initial interference of each communications status mark value and each sub-band group
Magnitude generates current training series, and obtains the corresponding likelihood probability of the current training sequence；
Interference perceives processing unit, in the current interference measure for getting the wireless communication system to be measured, according to
The current interference measure and the likelihood probability, the interference for generating the wireless communication system to be measured perceive quantized values.
8. the interference sensing device of wireless communication according to claim 7, which is characterized in that including：
Statistical disposition unit for being counted to the current training sequence, obtains corresponding to the item of the current training sequence
The prior probability of part probability and the corresponding communications status mark value；
Bayes's processing unit handles the conditional probability and the prior probability for passing through Bayesian Method, obtain it is described seemingly
Right probability.
9. the interference sensory perceptual system of a kind of wireless communication, which is characterized in that including memory, processor and storage on a memory
And the computer program that can be run on a processor, which is characterized in that the processor is realized when performing the computer program
The step of interference cognitive method wirelessly communicated described in any one in claim 1 to 6.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of interference cognitive method of the wireless communication in claim 1 to 6 described in any one is realized when being executed by processor.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112601934A (en) * | 2018-09-03 | 2021-04-02 | 三菱电机株式会社 | Signal display control device and signal display control program |
| CN112654053A (en) * | 2019-10-11 | 2021-04-13 | 广州海格通信集团股份有限公司 | Interference state feedback information generation method, device, equipment and storage medium |
| US11366627B2 (en) * | 2017-12-18 | 2022-06-21 | Mitsubishi Electric Corporation | Display control device, display system, display device, and display method |
| WO2024022042A1 (en) * | 2022-07-29 | 2024-02-01 | 中兴通讯股份有限公司 | Interference detection method and apparatus, and electronic device and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102457855A (en) * | 2010-10-15 | 2012-05-16 | 鼎桥通信技术有限公司 | Femtocell interference coordination method and system |
| CN102624658A (en) * | 2012-03-02 | 2012-08-01 | 清华大学 | Transmission method of time domain synchronous-orthogonal frequency division multiplexing (TDS-OFDM) based on theory of compressive sensing |
| CN103415076A (en) * | 2013-07-08 | 2013-11-27 | 复旦大学 | Interference coordination method based on decision theory in multi-cell OFDMA system |
| US20160294532A1 (en) * | 2015-03-31 | 2016-10-06 | Huawei Technologies Canada Co., Ltd. | Joint Radio-Frequency/Baseband Self-Interference Cancellation Methods |
| CN107196722A (en) * | 2017-07-14 | 2017-09-22 | 北京交通大学 | A kind of self-adapting compressing frequency spectrum sensing method |
| CN107566303A (en) * | 2017-07-27 | 2018-01-09 | 东华大学 | A kind of millimeter wave channel estimation methods based on Bayes's compressed sensing |
-
2018
- 2018-01-30 CN CN201810091929.8A patent/CN108200590B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102457855A (en) * | 2010-10-15 | 2012-05-16 | 鼎桥通信技术有限公司 | Femtocell interference coordination method and system |
| CN102624658A (en) * | 2012-03-02 | 2012-08-01 | 清华大学 | Transmission method of time domain synchronous-orthogonal frequency division multiplexing (TDS-OFDM) based on theory of compressive sensing |
| CN103415076A (en) * | 2013-07-08 | 2013-11-27 | 复旦大学 | Interference coordination method based on decision theory in multi-cell OFDMA system |
| US20160294532A1 (en) * | 2015-03-31 | 2016-10-06 | Huawei Technologies Canada Co., Ltd. | Joint Radio-Frequency/Baseband Self-Interference Cancellation Methods |
| CN107196722A (en) * | 2017-07-14 | 2017-09-22 | 北京交通大学 | A kind of self-adapting compressing frequency spectrum sensing method |
| CN107566303A (en) * | 2017-07-27 | 2018-01-09 | 东华大学 | A kind of millimeter wave channel estimation methods based on Bayes's compressed sensing |
Non-Patent Citations (1)
| Title |
|---|
| 高喜俊等: "基于ＣＲ－ＭＩＭＯ的无人机多域联合分集抗干扰方案", 《系统工程与电子技术》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11366627B2 (en) * | 2017-12-18 | 2022-06-21 | Mitsubishi Electric Corporation | Display control device, display system, display device, and display method |
| CN112601934A (en) * | 2018-09-03 | 2021-04-02 | 三菱电机株式会社 | Signal display control device and signal display control program |
| CN112601934B (en) * | 2018-09-03 | 2023-02-17 | 三菱电机株式会社 | Signal display control device and computer-readable recording medium |
| CN112654053A (en) * | 2019-10-11 | 2021-04-13 | 广州海格通信集团股份有限公司 | Interference state feedback information generation method, device, equipment and storage medium |
| CN112654053B (en) * | 2019-10-11 | 2023-06-02 | 广州海格通信集团股份有限公司 | Interference state feedback information generation method, device, equipment and storage medium |
| WO2024022042A1 (en) * | 2022-07-29 | 2024-02-01 | 中兴通讯股份有限公司 | Interference detection method and apparatus, and electronic device and storage medium |
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|---|---|
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