CN106850107A - A kind of collaborative sensing method of heterogeneous network - Google Patents
A kind of collaborative sensing method of heterogeneous network Download PDFInfo
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- CN106850107A CN106850107A CN201710031672.2A CN201710031672A CN106850107A CN 106850107 A CN106850107 A CN 106850107A CN 201710031672 A CN201710031672 A CN 201710031672A CN 106850107 A CN106850107 A CN 106850107A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04B17/00—Monitoring; Testing
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- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W16/14—Spectrum sharing arrangements between different networks
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
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Abstract
The invention discloses a kind of collaborative sensing method of heterogeneous network, cognitive user in multimode transmissions user is locally perceived first, in the presence of primary user is not perceived, broadcast collaboration perceives message to other multimode transmissions user, that is cooperative cognitive user, each cooperative cognitive user is locally perceived to primary user respectively, if perceiving primary user's presence, then sensing results are reported to fusion center, fusion center judges that primary user whether there is according to the sensing results for receiving, do not exist message if there is no primary user is sent to cognitive user, each cooperative cognitive user of sensing results to the signal to noise ratio of cognitive user is reported if there is then real-time detection, the maximum optimal cooperative cognitive user of conduct of selection signal to noise ratio, primary user is sent to cognitive user there is message.Be combined for cognitive radio technology and cooperative communication technology by the inventive method, can effectively reduce the time overhead and energy expense of perception, realizes the heterogeneous network collaborative sensing of low cost.
Description
Technical field
The invention belongs to heterogeneous network technologies field, more specifically, it is related to a kind of collaborative sensing side of heterogeneous network
Method.
Background technology
Following communication network, it will be environment that multiple network coexists, i.e. 5G, WLAN, WiMax etc. will constitute Multi-
RAT (Radio Access Technology, wireless access technology) heterogeneous network.Multi-RAT heterogeneous networks have capacity
Greatly, the advantages of small, the availability of frequency spectrum is high is disturbed, is the trend of communication network development.Fig. 1 is the topology diagram of heterogeneous network.
As shown in figure 1, in Multi-RAT heterogeneous networks, there may be various wireless access ways.
In Multi-RAT heterogeneous networks, orthogonal frequency resources are employed between RAT layers, such as wifi uses 2.4GHz frequently
Section, LTE uses orthogonal licensed band, therefore solves interference problem well, and user can simultaneously be linked into difference
RAT communicate simultaneously, bring new freedom of correspondence to user, thus spatial multiplexing gain can be obtained, lifting system capacity；Finally,
Between different RAT use partial frequency multiplexing (Fractional Frequency Reuse, FFR), can lifting system frequently
Spectrum utilization rate.For Multi-RAT heterogeneous networks, cognitive radio technology is introduced, system can be with automatic sensing address location
Information and status information select suitable network to be communicated, and load is appropriately distributed into different RAT, optimization relaying section
The selection of point and access frequency range, realize that system energy efficiency is maximized.
Serious hope due to the increasingly increased bandwidth demand of mobile subscriber and terminal device to the wireless network module energy, at present
Research direction on heterogeneous network is gradually transferred to the less energy of consumption, and to obtain more frequency spectrums, this seems contradiction
Problem.In document " Celik A, Kamal A E.More spectrum for less energy:Green cooperative
sensing scheduling in CRNs[C]//2015IEEE International Conference on
Communications(ICC).IEEE,2015:In 62-67. ", the energy that per unit frequency spectrum is consumed is defined as chance by author
A kind of cost, based on this, it is proposed that collaborative sensing Scheduling Framework, perception is optimized from the angle of energy ezpenditure, is reported and passage
The cost of conversion.The implementation process of cognitive radio, can allow the user of unauthorized to determine which partial frequency spectrum is not used by first
(frequency spectrum cavity-pocket) and detect that authorized user whether there is (frequency spectrum perception).The user of these unauthorizeds will keep lasting detection frequency
Compose, therefore they are always maintained at actively.Due to this pivot action, frequency spectrum perception is considered as most to be lost in cognitive radios
Time and the part of energy.In frequency spectrum perception field, research work before this is concentrated mainly on the time during frequency spectrum perception
Expense, with the research tendency of green communications, the energy ezpenditure during frequency spectrum perception becomes maximum in academic research and chooses
One of war.
Fig. 2 is the heterogeneous network system Organization Chart based on frequency spectrum perception.As shown in Fig. 2 the heterogeneous network based on frequency spectrum perception
Network system is made up of multimode transmissions user MUE, main transmission user PU (TX), main reception user PU (RX) etc., multimode transmissions user
To be played a significant role in collaborative sensing process.Assuming that have M+1 multimode transmissions user in Fig. 2, wherein it is to recognize to have a user
Know user SU, in addition M multimode transmissions user MUEiIt is cooperative cognitive user, i=1,2 ..., M, when cognitive user is not perceived
Primary user is present, even M cooperative cognitive user MUEiCarry out cooperative cognitive.
The time slot distribution diagram of Fig. 3 tradition collaborative sensing methods.As shown in figure 3, the perception Period Length of the system of setting is T,
M+1 sub-period is divided into, each period of the day from 11 p.m. to 1 a.m segment length is t, then T=(M+1) t.M+1 multimode transmissions user in system
Local perception is completed in first sub-period, in ensuing M period, according to specific rule, each cooperative cognitive user
MUEiReport is made decisions to fusion center (Fusion Center, FC) successively, then fusion center is locally sentenced according to all of
Certainly, according to certain criterion, the court verdict that final primary user whether there is is made, court verdict is then sent to cognition
User, then selects frequency spectrum to carry out data transmission by cognitive user according to court verdict.According to the expression formula of T, it is therefore apparent that
With the increase of the user for participating in cooperation, detecting period can increase, and the length of a time slot is fixed, then can be used into
The time of row data transfer will be reduced.And assuming that the average perceived energy consumption of each user is identical, the user for participating in cooperation gets over
Many, energy sensing also can be bigger, and this is unfavorable for realizing green communications.Also, using channel perception local court verdict at present more
Report judgement is carried out, can also interference be produced to main transmission user, transmission quality is reduced.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided a kind of collaborative sensing method of heterogeneous network, have
Effect reduces the time overhead and energy expense of perception, realizes the heterogeneous network collaborative sensing of low cost.
For achieving the above object, the collaborative sensing method of heterogeneous network of the present invention is comprised the following steps：
S1：The multimode transmissions user for carrying out primary user's perception will be needed as cognitive user SU in heterogeneous network, remaining is more
Mould transmits user as cooperative cognitive user MUEi, i=1,2 ..., M, M represents cooperative cognitive number of users in heterogeneous network；Recognize
Know that user SU is locally perceived to primary user, if perceiving primary user's presence, cognitive user SU broadcast primary user's presence disappears
Cease and give other cooperative cognitives user MUEi, terminate collaborative sensing, if not perceiving primary user's presence, broadcast collaboration perceives message
Give cooperative cognitive user MUEi；
S2：Each cooperative cognitive user MUEiMessage monitoring is carried out, there is message if monitoring and obtaining primary user, do not appointed
What is operated, if monitoring obtains collaborative sensing message, into step S3；
S3：Cooperative cognitive user is locally perceived to primary user respectively, if perceiving primary user's presence, to fusion
Center reports sensing results, does not make any operation otherwise；
S4：Fusion center will receive sensing results cooperative cognitive user set in Preset Time is designated as A, judges primary
Family whether there is, if there is no entrance step S5, if there is entrance step S6；
S5：Fusion center sends primary user and does not exist message to cognitive user；
S6：Each cooperative cognitive user is to cognitive user SU's in fusion center real-time detection cooperative cognitive user's set A
Signal to noise ratio, the maximum optimal cooperative cognitive user of conduct of selection signal to noise ratio, is sent to instruction, is sent by optimal collaboration user and led
There is message to cognitive user in user.
The collaborative sensing method of heterogeneous network of the present invention, the cognitive user in multimode transmissions user is locally felt first
Know, in the presence of primary user is not perceived, broadcast collaboration perceives message to other multimode transmissions user, i.e. cooperative cognitive user,
Each cooperative cognitive user is locally perceived to primary user respectively, if perceiving primary user's presence, on fusion center
Report sensing results, fusion center judges that primary user whether there is according to the sensing results for receiving, and is used if there is no to cognition
Family sends primary user and does not exist message, and each cooperative cognitive user of sensing results to cognition is reported if there is then real-time detection
The signal to noise ratio of user, the maximum optimal cooperative cognitive user of conduct of selection signal to noise ratio exists to cognitive user transmission primary user and disappears
Breath.Be combined for cognitive radio technology and cooperative communication technology by the inventive method, can effectively reduce perception when
Between expense and energy expense, realize low cost heterogeneous network collaborative sensing.
Brief description of the drawings
Fig. 1 is the topology diagram of heterogeneous network；
Fig. 2 is the heterogeneous network system Organization Chart based on frequency spectrum perception；
The time slot distribution diagram of Fig. 3 tradition frequency spectrum sensing methods；
Fig. 4 is the specific embodiment flow chart of the collaborative sensing method of heterogeneous network of the present invention；
Fig. 5 is the time slot distribution diagram of the collaborative sensing method of heterogeneous network of the present invention；
Fig. 6 is the graph of a relation of energy ezpenditure and parameter alpha；
Fig. 7 is the graph of a relation of energy ezpenditure and parameter η；
Fig. 8 is the graph of a relation of average perceived time and overall false-alarm probability；
Fig. 9 is the graph of a relation of energy ezpenditure and overall false-alarm probability.
Specific embodiment
Specific embodiment of the invention is described below in conjunction with the accompanying drawings, so as to those skilled in the art preferably
Understand the present invention.Requiring particular attention is that, in the following description, when known function and design detailed description perhaps
When can desalinate main contents of the invention, these descriptions will be ignored herein.
Embodiment
Fig. 4 is the specific embodiment flow chart of the collaborative sensing method of heterogeneous network of the present invention.As shown in figure 4, this hair
The specific steps of the collaborative sensing method of bright heterogeneous network include：
S401：Cognitive user is perceived：
The multimode transmissions user for carrying out primary user's perception will be needed in heterogeneous network as cognitive user SU, remaining multimode is passed
Defeated user is used as cooperative cognitive user MUEi, i=1,2 ..., M, M represents cooperative cognitive number of users in heterogeneous network.Cognition is used
Family SU is locally perceived to primary user, if perceive primary user presence, cognitive user SU broadcast primary user exist message to
Other cooperative cognitives user MUEi, terminate collaborative sensing, if not perceiving primary user's presence, broadcast collaboration perceives message to association
Make cognitive user MUEi。
S402：Cooperative cognitive user monitors：
Each cooperative cognitive user MUEiMessage monitoring is carried out, there is message if monitoring and obtaining primary user, do not make any
Operation, if monitoring obtains collaborative sensing message, into step S403.
S403：Cooperative cognitive user perceives and reports：
Cooperative cognitive user is locally perceived to primary user respectively, if perceiving primary user's presence, in fusion
Sensing results are reported in the heart, do not make any operation otherwise.In the present invention, because cooperative cognitive user is multimode transmissions user, tool
There is multiple spot access characteristic, therefore cooperative cognitive user can use different system when sensing results are reported to fusion center
(RAT) reported, the system for being used is determined when setting up and communicating to connect with fusion center by fusion center, its frequency range and master
Telex network frequency range is different, so as to prevent cooperative cognitive reporting of user sensing results from being interfered to primary user.
S404：Fusion center judges that primary user whether there is：
Fusion center will receive sensing results cooperative cognitive user set in Preset Time is designated as A, judges primary user
Whether there is, if there is no entrance step S405, if there is entrance step S406.Fusion center is according to association in the present embodiment
Make in cognitive user set A number of users and whether there is judging primary user, if number of users is less than predetermined threshold value, one in A
As threshold value be set to the half of cooperative cognitive number of users, then judge that primary user does not exist, otherwise judge that primary user is present.
S405：Primary user is sent in the absence of report：
Fusion center sends primary user and does not exist message to cognitive user.
S406：Select optimal cooperative cognitive user to send primary user and there is message：
Noise of each cooperative cognitive user to cognitive user SU in fusion center real-time detection cooperative cognitive user's set A
Than the maximum optimal cooperative cognitive user of conduct of selection signal to noise ratio is sent to instruction, and primary user is sent by optimal collaboration user
There is message to cognitive user.The maximum user of selection signal to noise ratio, can effectively improve primary user and there is the cognitive use of message arrival
The reliability at family.For cognitive user, could be arranged to only to receive primary user and there is message and just judge that primary user is present,
It can also be provided that not receiving primary user judges that primary user is present in the absence of message, the setting can come according to actual needs
Selected.
In order to illustrate technique effect of the invention, the critical performance parameters to collaborative sensing in the present invention first are derived
Explanation.
1) perceived accuracy analysis
Local perception uses the most frequently used case of energy detection schemes in the present embodiment, and energy-probe is in a specific perception
Time measurement receives the energy of signal, and is compared to determine the two hypothesis with given threshold.
yiK () is MUEiThe sample signal that kth time is received, s (k) and niK () represents PU signals and white Gaussian noise, each s
(k) and niK () is independent identically distributed random process, hiRepresent PU and i-th MUEiBetween channel gain.H1Represent cognitive
User is present, H0Represent that cognitive user does not exist.For user MUEiFor, the detection probability of energy measuring is represented by：
The false-alarm probability of energy measuring is：
In formula,Represent the judgement that main transmission user is present；μiRepresent the time domain bandwidth product of energy detector, εiRepresent
Energy threshold；Represent the signal power of main transmission user and the ratio of noise power；Represent flat
Equal power noise ratio, e represents constant, and Γ () represents gamma function.
Fig. 5 is the time slot distribution diagram of the collaborative sensing method of heterogeneous network of the present invention.As shown in figure 5, a length of α when order is perceived
T (0 ＜ α≤1), is divided into { t0,t1,t2Three time slots：t0=t1=η T, t2=(α -2 η) T, t0Period is cognitive user
Perceive period, t1Period is that cooperative cognitive user perceives and reports period, t2Period is that the period is reported in judgement.For of the invention
Collaborative sensing method, local false-alarm probability is represented with λ, in the range from 0 ＜ λ ＜ 1, and makes all equal vacation of cooperative cognitive user
If, λ0Represent overall false-alarm probability.Thus, energy threshold can be derived asWhereinIt is φfAnti- letter
Number.
For ease of subsequent analysis, useLocal detection probability function is represented, φ is usedf(μi,εi) represent local
False-alarm probability function.According to formula (2) and formula (3), t0Period, the local detection probability and false-alarm probability of cognitive user SU are：
Wherein,WeIt is the system bandwidth of energy detector, T represents holding for whole perception
The continuous time.λ represents local false-alarm probability,
t0Period, if cognitive user SU can detect primary user PU presence, broadcast singal is arrived immediately for cognitive user SU selections
Cooperative cognitive user MUEi, terminate the process of collaborative sensing, do not access the frequency spectrum of primary user temporarily.If main cognitive user SU does not have
With the presence of detecting primary user PU, other cooperative cognitives user MUEiWill be in t1Period completes local frequency spectrum perception and report.In t1
Period, cooperative cognitive user MUEiLocal frequency spectrum perception is carried out, energy detection technique is equally taken.MUEiLocal detection probability
It is with local false-alarm probability：
In formula
Assuming that fusion center judges that primary user is present, then in t2Period, according to the secondary in cooperative cognitive user's set A
Cooperation MUEiState, select optimal MUE judgements to report.Detailed process is with reference to described below：t2At the moment, select cooperative cognitive
The cooperative cognitive user for causing cognitive user SU received signal to noise ratio maximum in user's set A carries out result report.Assuming that MUEiFor
Optimal collaboration user, then t2In period, the signal that SU is received can be expressed as：
The selection of optimal collaboration user, can be carried out according to the standard of formula (9)：
Wherein, A is cooperative cognitive user set, and these users are able to detect that the presence of main transmission user.In this scheme
In, for set A, SU is in H0In the case of, MUE can be successfully decodedbestCourt verdict probability：
Cognitive user SU is in H1In the case of, MUE is successfully decodedbestCourt verdict probability：
In formulaWsRepresent the channel width of channel perception；A (n) represents that n-th of set A is non-
Vacuous subset, | A | and | A (n) | represent number of users in set A and A (n) respectively.
According to the probability of successfully decoded, primary user SU is in t2In be successfully received the probability of false-alarm judgement and be：
Primary user SU is in t2In be successfully received one detection judgement probability be：
A in formulaiRepresent i-th nonvoid subset of set A；Represent AiSupplementary set.
So, the overall false-alarm probability under the program is：
Pf=Pf 0+(1-Pf 0)Pf 1 (14)
Whole detection probability under the program is：
Pd=Pd 0+(1-Pd 0)Pd 1 (15)
Define PmIt is overall false dismissal probability, can obtains：
Pm=1-Pd (16)
Make φ (λ)=Pf=λ0, then the local false-alarm probability that can obtain ORS schemes is：
λ=φ-1(λ0) (17)
Wherein, φ-1Represent the inverse function of φ.
Due in the 3rd period (i.e. t2Stage), present invention selection from set A can cause that cognitive user SU receives noise
Judgement is performed than maximum cooperative cognitive user to report, therefore is not in the reporting channel qualities difference for randomly choosing and bringing
Problem.
Contrasted with traditional collaborative sensing method, by adjusting t0Value, local detecting period can be extended, detection essence
Degree can get a promotion.Because the present invention is to carry out selection report, therefore the overall recognition time reduces, and the value of α can represent whole
The decreasing value of body detecting period, by the adjustment to α and η, can find equilibrium between accuracy of detection and detection time.
2) Overhead Analysis are perceived
● detecting period
Define detecting period (ST) be secondary user's perceive it is main transmission user presence and insertion authority frequency spectrum used by when
It is long.In traditional collaborative sensing method, it is relevant that ST perceives slot length with the secondary user's quantity and unit of participating in cooperation.
ST0=T=(M+1) t (18)
In collaborative sensing method of the present invention, can the length of detecting period perceive depositing for PU depending on cognitive user SU
.If cognitive user SU is in t0PU is detected, then detecting period is t0=η T, the probability that this thing happens is Pd, otherwise,
t0t1t2Three periods can all be used, so as to identical with traditional scheme.Therefore during the average perceived of collaborative sensing method of the present invention
Between be：
Known 0 ＜ Pd＜ 1,0 ＜ α ＜ 1, so that
That is ST1＜ ST0, so on time overhead, the present invention is more excellent than traditional collaborative sensing method.If Pd→ 1, ST1
→ (M+1) t η, if Pd→ 0, ST1→ (M+1) t α, show, if the local detection probability of secondary user's is higher, this
Inventive method can substantially reduce detecting period, even if the local detection probability of secondary user's is relatively low, during the perception of the inventive method
Between be also the α (0 ＜ α ＜ 1) times of traditional scheme, therefore can prove that the superiority of the inventive method.
● opportunity cost
In traditional collaborative sensing method, energy sensing ES0Represent, then：
Report energy EX0Represent, then：
Opportunity cost, i.e. cumlative energy consume ET0For：
ET0=ES0+EX0=(Ps+Px)T (23)
In the present invention, energy sensing ES1Represent, then：
Report energy EX1Represent, then：
EX1=Pxt2=Px(α-2η)T (25)
Opportunity cost, i.e. cumlative energy consume ET1For：
ET1=ES1+EX1=Ps(M+1)ηT+Px(α-2η)T (26)
Next effect is saved to expense of the invention using emulation to illustrate.Assuming that the energy sensing P of users=
0.25W, report energy is Px=0.11W, report duration tx=100 μ s.
Fig. 6 is the graph of a relation of energy ezpenditure and parameter alpha.As shown in fig. 6, in the case of collaborative sensing method identical, when
When collaboration user quantity increases, energy ezpenditure can also increase.For identical collaboration user quantity, the inventive method is than passing
The energy ezpenditure of collaborative sensing method of uniting can be much smaller, therefore may certify that the present invention can well realize green communications.
Fig. 7 is the graph of a relation of energy ezpenditure and parameter η.As shown in fig. 7, the number of users for setting participation cooperation is identical, work as α
In the case of identical, with the increase of η, energy ezpenditure can increase, because local energy sensing disappears than the energy that judgement is reported
Consumption is big, and as the local accounting for perceiving increases, total energy ezpenditure will increase.Under the conditions of η identicals, α is bigger, energy
Consumption is bigger, because, when α is bigger, η is identical, but the local total accounting for perceiving can increase, and at the same time, judgement converges
Total accounting of report can also increase, therefore, α is bigger, and energy ezpenditure is bigger.
Fig. 8 is the graph of a relation of average perceived time and overall false-alarm probability.As shown in figure 8, the inventive method is reducing flat
Equal detecting period has very big advantage above with respect to traditional collaborative sensing method, can substantially reduce detecting period.For
For the inventive method, when the transmission signal to noise ratio of main transmission userWhen higher, energy ezpenditure is lower, becauseMore
Height, in the case of identical entirety false-alarm probability, the local false-alarm probability of secondary user's is lower, and detecting period will be reduced.
When main transmission user'sIn the case of identical, when the channel quality between main transmission user and secondary user's is higher, energy disappears
Consumption is lower, because, in the case of other conditions identical, channel quality is higher, and the local energy sensing of secondary user's is got over
It is low, therefore less energy ezpenditure can be brought.
Fig. 9 is the graph of a relation of energy ezpenditure and overall false-alarm probability.As shown in figure 9, the inventive method is relative to tradition side
Case, with obvious advantage.For the inventive method, when the transmission signal to noise ratio of main transmission userWhen higher, energy
Amount consumption is lower, becauseHigher, in the case of identical entirety false-alarm probability, the local false-alarm probability of secondary user's is got over
Low, energy ezpenditure will be lower.When main transmission user'sIn the case of identical, when between main transmission user and secondary user's
Channel quality is higher, and energy ezpenditure is lower, because, in the case of other conditions identical, channel quality is higher, and secondary is used
The local energy sensing at family is lower, therefore can bring less energy ezpenditure.
In summary, the inventive method is tied cognitive radio technology and cooperative communication technology in heterogeneous network
Close, can effectively reduce the time overhead and energy expense of perception, realize the heterogeneous network collaborative sensing of low cost.
Although being described to illustrative specific embodiment of the invention above, in order to the technology of the art
Personnel understand the present invention, it should be apparent that the invention is not restricted to the scope of specific embodiment, to the common skill of the art
For art personnel, as long as various change is in appended claim restriction and the spirit and scope of the present invention for determining, these
Change is it will be apparent that all utilize the innovation and creation of present inventive concept in the row of protection.
Claims (3)
1. a kind of collaborative sensing method of heterogeneous network, it is characterised in that comprise the following steps：
S1：The multimode transmissions user for carrying out primary user's perception will be needed in heterogeneous network as cognitive user SU, remaining multimode is passed
Defeated user is used as cooperative cognitive user MUEi, i=1,2 ..., M, M represents cooperative cognitive number of users in heterogeneous network；Cognition is used
Family SU is locally perceived to primary user, if perceive primary user presence, cognitive user SU broadcast primary user exist message to
Other cooperative cognitives user MUEi, terminate collaborative sensing, if not perceiving primary user's presence, broadcast collaboration perceives message to association
Make cognitive user MUEi；
S2：Each cooperative cognitive user MUEiMessage monitoring is carried out, there is message if monitoring and obtaining primary user, any behaviour is not made
Make, if monitoring obtains collaborative sensing message, into step S3；
S3：Cooperative cognitive user is locally perceived to primary user respectively, if perceiving primary user's presence, to fusion center
Sensing results are reported, does not make any operation otherwise；
S4：Fusion center will receive sensing results cooperative cognitive user set in Preset Time is designated as A, judges that primary user is
No presence, if there is no entrance step S5, if there is entrance step S6；
S5：Fusion center sends primary user and does not exist message to cognitive user；
S6：Noise of each cooperative cognitive user to cognitive user SU in fusion center real-time detection cooperative cognitive user's set A
Than the maximum optimal cooperative cognitive user of conduct of selection signal to noise ratio is sent to instruction, and primary user is sent by optimal collaboration user
There is message to cognitive user.
2. collaborative sensing method according to claim 1, it is characterised in that in the step S3 cooperative cognitive user to
Reported using different system (RAT) when fusion center reports sensing results, the system for being used is set up with fusion center
Determined by fusion center during communication connection, its frequency range is different from primary user's communications band.
3. collaborative sensing method according to claim 1, it is characterised in that fusion center is according to cooperation in the step S4
Number of users whether there is judging primary user in cognitive user set A, if number of users is less than predetermined threshold value in A, sentence
Determine primary user not existing, otherwise judge that primary user is present.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102595491A (en) * | 2012-01-31 | 2012-07-18 | 北京邮电大学 | Data transmission method in cognitive radio network |
| WO2012151732A1 (en) * | 2011-05-06 | 2012-11-15 | 中国人民解放军理工大学 | Method for sensing time slot length optimization based on state transfer probability estimation |
| CN103338458A (en) * | 2013-07-11 | 2013-10-02 | 东南大学 | Cooperative spectrum sensing method used for cognitive radio system |
| CN104539382A (en) * | 2014-12-22 | 2015-04-22 | 北京科技大学 | Pre-cooperative sensing method in cognitive radio network |
-
2017
- 2017-01-17 CN CN201710031672.2A patent/CN106850107A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012151732A1 (en) * | 2011-05-06 | 2012-11-15 | 中国人民解放军理工大学 | Method for sensing time slot length optimization based on state transfer probability estimation |
| CN102595491A (en) * | 2012-01-31 | 2012-07-18 | 北京邮电大学 | Data transmission method in cognitive radio network |
| CN103338458A (en) * | 2013-07-11 | 2013-10-02 | 东南大学 | Cooperative spectrum sensing method used for cognitive radio system |
| CN104539382A (en) * | 2014-12-22 | 2015-04-22 | 北京科技大学 | Pre-cooperative sensing method in cognitive radio network |
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