CN106412926B - Recognize mobile ad-hoc network control channel selection method - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/14—Spectrum sharing arrangements between different networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention discloses a kind of cognition mobile ad-hoc network control channel selection method, S1: all cognitive users execute frequency spectrum perception, obtain respectively potential set of available channels C and number of available channels M；S2: according to the attribute of available channel, being assessed and sorted to the quality of all available channels in set of available channels C, and available channel list X is generated；S3: frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；S4: channel hopping is executed according to frequency pattern, and runs Handshake Protocol and is intersected；S5: judging whether to intersect successfully, if so, terminating, completes control channel selection；Otherwise return step S4.The utility model has the advantages that the intersection time is short, selected control channel is stronger to primary user's liveness robustness, can abundant column frequency spectrum cavity-pocket, improve the availability of frequency spectrum.
Description
Technical field
The present invention relates to control channel selection technique field, specifically a kind of cognition mobile ad-hoc network control letter
Road selection method.
Background technique
Cognitive radio (cognitive radio, CR) is used as a kind of smart frequency spectrum technology of sharing, current logical by perceiving
The variation for believing environment learns external environment feature based on artificial intelligence, and adaptively adjusts running parameter, and energy chance access is primary
The temporary unused idle channel in family (primary user, PU), to effectively improve the availability of frequency spectrum.Mobile ad hoc network
(mobile ad hoc network, MANET) is a kind of wireless self-organization network without disposing static infrastructure.It will recognize
Know that radio technology incorporates MSNET network, flexibly, fast can construct and dispose cognition MANET (CR-MANET) network.CR-
MSNET network is expansion of the cognitive radio technology to MANET, and wireless frequency spectrum is not fixed, but is found by frequency spectrum perception
Spectrum interposition, dynamic access.
Special control channel is usually not configured in CR-MANET network, but executes network management, Routing Protocol, frequency spectrum perception
Wait needs interactive control information among the nodes.In CR-MANET network, the primary user in communication range is distributed in authorization
The available channel collection that the random occupancy of channel will cause different cognitive users (secondary user, SU) has spatial diversity
Property, and with primary user's active state dynamic change.
In recent years, extensive research is received based on frequency hop sequences selection control channel.But it is existing based on intersection technology
In control channel selection, frequency hop sequences are designed premised on mostly available, constant on channel, do not consider primary user's mechanics and letter
The influence that road quality selects control channel, either FH Sequence Design, or averagely intersect time, maximum intersection time etc.
Index has improvement and room for promotion.
Summary of the invention
In view of the above-mentioned problems, passing through the present invention provides a kind of cognition mobile ad-hoc network control channel selection method
Available channel attribute is extracted, channel quality is assessed and sorted based on multiple attribute decision making (MADM), and according to assessment result design etc.
Time slot frequency pattern, this approach reduce the intersection times, improve to the movable robustness of primary user.
In order to achieve the above objectives, the specific technical solution that the present invention uses is as follows:
A kind of cognition mobile ad-hoc network control channel selection method, key are to follow the steps below:
S1: all cognitive users execute frequency spectrum perception, obtain respectively potential set of available channels C and number of available channels M；
S2: according to the attribute of available channel, the quality of all available channels in set of available channels C is assessed and is arranged
Sequence generates available channel list X；
S3: frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；
S4: channel hopping is executed according to frequency pattern, and runs Handshake Protocol and is intersected；
S5: judging whether to intersect successfully, if so, terminating, completes control channel selection；Otherwise return step S4.
Further, available channel quality is assessed and is sorted in step S2, the method for generating available channel list X
It specifically includes,
S21: according to available channel quality evaluation standard, the demand of application scenarios and the application scenarios to channel is determined；
S22: channel attribute subjectivity weight is determined using analytic hierarchy process (AHP)；
S23: channel attribute parameter value is collected, determines channel attribute objective weight using entropy assessment；
S23: building complex weight is combined by the objective weight that the obtained subjective weight of step S22 and step S23 obtain；
S25: the approach degree of each channel is calculated in conjunction with complex weight using TOPSIS method, to potential set of available channels
C sequence, generates available channel list X.
It further describes, the available channel quality evaluation standard includes: primary user's liveness, Signal to Interference plus Noise Ratio, work
Frequency point, signal bandwidth, coherence bandwidth and coherence time.
It further describes, determines application scenarios to the concrete mode of channel demands in step S21 are as follows: according to application scenarios
Requirement to channel attribute, building judgement matrix.
Further describe, step S3's method particularly includes:
S31: being respectively numbered set of available channels C, available channel list X, obtains set of available channels C={ c1,
c2..., available channel list X={ x1,x2,…}；
S32: inverse proportion function relational design mapping rule is determined, according to yiWith xiRelational expressionAcquire yi,
To obtain frequency hop sequences set Y={ y1,y2,…}；Wherein yiFor channel ciThe frequency of occurrence in frequency pattern, xiFor channel ci
Serial number in available channel list X；MiIt is obtained by frequency spectrum perception for i-th of cognitive user in a cycle of operation potential
Number of available channels；
S33: sequence of calculation length L:Wherein, [] indicates that house zero is rounded；
S34: the frequency hop sequences set Y that step S32 is obtained is not repeated to extract to generate frequency pattern according to pseudo-random sequence.
Beneficial effects of the present invention: available channel list is executed based on inverse proportion mapping rule proposed by the present invention and generates jump
Frequency sequence set, and then frequency pattern is designed, the intersection time is short, and selected control channel is to primary user's liveness robustness
It is stronger, frequency spectrum cavity-pocket can be made full use of, the availability of frequency spectrum is improved.
Detailed description of the invention
Fig. 1 is present invention cognition mobile ad-hoc network control channel selection method flow chart；
Fig. 2 is available channel list generation method flow chart of the present invention；
Fig. 3 is present invention construction frequency hop sequences set and then generates frequency pattern method flow diagram；
Fig. 4 is the average intersection time contrast schematic diagram under three kinds of mapping rules；
Fig. 5 is the maximum intersection time contrast schematic diagram under three kinds of mapping rules；
Fig. 6 is preferred channels proportion contrast schematic diagram in frequency pattern under three kinds of mapping rules.
Specific embodiment
Specific embodiment and working principle of the present invention will be described in further detail with reference to the accompanying drawing.
It will be seen from figure 1 that a kind of cognition mobile ad-hoc network control channel selection method, following steps are carried out:
S1: all cognitive users execute frequency spectrum perception, obtain respectively potential set of available channels C and number of available channels M；
S2: according to the attribute of available channel, the quality of all available channels in set of available channels C is assessed and is arranged
Sequence generates available channel list X；
In conjunction with Fig. 2 as can be seen that its specific method is,
S21: according to available channel quality evaluation standard, the demand of application scenarios and the application scenarios to channel is determined；
S22: channel attribute subjectivity weight is determined using analytic hierarchy process (AHP)；
S23: channel attribute parameter value is collected, determines channel attribute objective weight using entropy assessment；
S23: building complex weight is combined by the objective weight that the obtained subjective weight of step S22 and step S23 obtain；
S25: the approach degree of each channel is calculated in conjunction with complex weight using TOPSIS method, to potential set of available channels
C sequence, generates available channel list X.
Further, in the present embodiment, available channel quality evaluation standard include: primary user's liveness, Signal to Interference plus Noise Ratio,
Working frequency points, signal bandwidth, coherence bandwidth and coherence time.
Wherein, primary user's liveness: primary user's liveness is to influence channel to the deciding factor of cognitive user availability.
Signal to Interference plus Noise Ratio: Signal to Interference plus Noise Ratio is defined as received signal power and the ratio between the interference and noise power of cognitive user, table
Received signal quality is levied, is one of the index of the normal communication of cognitive user energy and frequency spectrum judging.I-th of cognitive user is in channel ck
On Signal to Interference plus Noise Ratio are as follows:
Wherein,WithRespectively i-th of cognitive user transmitting terminal, other cognitive users hair
Penetrate the transmission power at end and primary user and its channel gain to i-th of cognitive user receiving end；N0For noise power；Ns,NpPoint
It Wei not cognitive user number and primary amount；aiFor the signal transmission space coverage area of i-th of cognitive user transmitting terminal, ifOtherwise f (am,ai)=1.
Working frequency points: high band wave coverage is small, and transmission rate is high；Low-frequency range coverage area is big, and penetration capacity is strong.
Signal bandwidth: signal bandwidth B=f2-f1, wherein f1,f2It is the low-limit frequency and highest frequency component of signal respectively.
Coherence bandwidth: multipath effect of the electric wave in communication process leads to delay spread.Coherence bandwidth is characterization multipath letter
The parameter of road characteristic is defined as the difference on the frequency range that channel is in strong correlation.
Coherence time: Doppler effect of the electric wave in communication process leads to doppler spread.Coherence time is in time domain
The parameter for describing channel frequency dispersion, is defined as the time difference range that channel is in strong correlation.
Determine application scenarios to the concrete mode of channel demands are as follows: the requirement according to application scenarios to channel attribute, building
Adjudicate matrix.
S3: frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；In conjunction with Fig. 3, tool
Body method are as follows:
S31: being respectively numbered set of available channels C, available channel list X, obtains set of available channels C={ c1,
c2..., available channel list X={ x1,x2,…}；
S32: inverse proportion function relational design mapping rule is determined, according to yiWith xiRelational expressionAcquire yi,
To obtain frequency hop sequences set Y={ y1,y2,…}；Wherein yiFor channel ciThe frequency of occurrence in frequency pattern, xiFor channel ci
Serial number in available channel list X；MiIt is obtained by frequency spectrum perception for i-th of cognitive user in a cycle of operation potential
Number of available channels；
S33: sequence of calculation length L:Wherein, [] indicates that house zero is rounded；
S34: the frequency hop sequences set Y that step S32 is obtained is not repeated to extract to generate frequency pattern according to pseudo-random sequence.
S4: according to pseudo-random sequence, frequency pattern executes channel hopping, and runs Handshake Protocol and intersected；
S5: judging whether to intersect successfully, if so, terminating, completes control channel selection；Otherwise return step S4.
Requirement of the different application scene to channel attribute is different, such as urban and suburban two applications, to channel attribute
It is required that different.
In city, user density is big, movement speed is slow.Influence of primary user's activity to cognitive user is primary factor, one
Denier primary user activates busy channel, and cognitive user must immediately exit from.The interference in city and noise are significant, to Signal to Interference plus Noise Ratio requirement
It is high；City high building stands in great numbers, and multipath effect is obvious, requires channel coherence bandwidth high；User moving speed is slower, and Doppler is imitated not
Obviously, the requirement to channel coherency time can be reduced.
In suburb, user density is small, environment is open.Primary user's activation is still primary factor, is required Signal to Interference plus Noise Ratio high；With
Family movement speed is fast, and Doppler effect is obvious, requires channel coherency time high；Environment is open, and multipath effect is unobvious, can put
Requirement of the width to channel coherence bandwidth.
Low-frequency range coverage area is big, under other channel attribute equal conditions, preferred low frequency point channel.Different application scene
The subjective of channel attribute is required as shown in table 1.
In the present embodiment, in order to analyze available channel method for evaluating quality proposed by the present invention and control channel selecting party
The performance of method, each available channel quality evaluation standard parameter are as shown in table 2:
| Channel attribute | Distribution |
| Primary user's primary user's liveness | Obey being uniformly distributed for 0-0.1 times/unit time slot |
| Signal to Interference plus Noise Ratio | Obey being uniformly distributed for 5-30dB |
| Bandwidth | 200kHz |
| Frequency point | GSM900 frequency range frequency point |
| Coherence bandwidth | Delay spread obeys being uniformly distributed for 10-500ns |
| Coherence time | Doppler spread obeys being uniformly distributed for 30-90Hz |
In the present embodiment, cognitive user is 5 by the number of available channels that frequency spectrum perception obtains, channel number C=
{c1,c2,c3,c4,c5}。
By taking the application scenarios of city as an example, with primary user's liveness, Signal to Interference plus Noise Ratio, working frequency points, signal bandwidth, coherence bandwidth
It is available channel quality evaluation standard, each available channel quality evaluation standard value of city application scenarios such as table 3 with coherence time
It is shown:
Requirement according to city application scenarios to available channel quality evaluation standard constructs judgement matrix as shown in table 4.
Channel attribute subjectivity weight is determined using analytic hierarchy process (AHP):
WS=[0.3913 0.2609 0.0870 0.1739 0.0435 0.0435]
Channel attribute objective weight is determined using entropy assessment:
WN=[0.7574 0.1378-0.0000 0.1024 0.0012 0.0012]
Then complex weight W:
W=[0.5743 0.1993 0.0435 0.1382 0.0224 0.0223]
According to TOPSIS method, the approach degree of each channel is calculated in conjunction with complex weight, and is sorted to candidate channel, can be used
Channel list X, is specifically shown in Table 5:
| Channel | Approach degree | Sequence |
| c3 | 0.9130 | 1 |
| c1 | 0.8334 | 2 |
| c2 | 0.5658 | 3 |
| c5 | 0.4121 | 4 |
| c4 | 0.1229 | 5 |
The important indicator of characterization control channel selecting method performance is intersection time (time to rendezvous, TTR),
The too long intersection time is unable to satisfy using the demand to time delay.The present embodiment selection averagely intersects time (average time
To rendezvous, ATTR) and maximum intersection time (maximum time to rendezvous, MTTR) reflected as assessment
Penetrate the index of criterion intersection time.
The inverse proportion mapping rule of the present embodiment design and Linear Mapping criterion, parabolic mapping criterion are carried out 5000 times
Monte Carlo contrast simulation.It show that the frequency pattern generated based on inverse proportion mapping rule executes control channel selection, puts down
The intersection time and maximum intersection time is shorter than Linear Mapping criterion and parabolic mapping criterion, is specifically shown in Fig. 4 and Fig. 5 institute
Show.
It executes channel quality assessment and obtains available channel list, wherein the most preceding channel quality that sorts is best.Preferred channels
Proportion is bigger in frequency pattern, and intersection success rate is higher, also more can guarantee the communication quality of time user.It can be with from Fig. 6
Find out, preferred channels proportion in frequency pattern under three kinds of mapping rules, the results showed that in three kinds of mapping rules, base
In the frequency pattern that inverse proportion mapping rule generates, preferred channels proportion highest.
Claims (4)
1. a kind of cognition mobile ad-hoc network control channel selection method, it is characterised in that follow the steps below:
S1: all cognitive users execute frequency spectrum perception, obtain respectively potential set of available channels C and number of available channels M；
S2: according to the attribute of available channel, being assessed and sorted to the quality of all available channels in set of available channels C,
Generate available channel list X；
S3: frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；
Step S3's method particularly includes:
S31: being respectively numbered set of available channels C, available channel list X, obtains set of available channels C={ c1,
c2..., available channel list X={ x1,x2,…}；
S32: inverse proportion function relational design mapping rule is determined, according to yiWith xiRelational expressionAcquire yi, thus
Obtain frequency hop sequences set Y={ y1,y2,…}；Wherein yiFor channel ciThe number occurred in frequency pattern, xiFor channel ci?
Serial number in available channel list X；MiFor i-th of cognitive user a cycle of operation by frequency spectrum perception obtain it is potential can
Use the number of channel；
S33: sequence of calculation length L:Wherein, [] indicates that house zero is rounded；
S34: the frequency hop sequences set Y that step S32 is obtained is not repeated to extract to generate frequency pattern according to pseudo-random sequence；
S4: channel hopping is executed according to frequency pattern, and runs Handshake Protocol and is intersected；
S5: judging whether to intersect successfully, if so, terminating, completes control channel selection；Otherwise return step S4.
2. cognition mobile ad-hoc network control channel selection method according to claim 1, it is characterised in that: step S2
In available channel quality is assessed and is sorted, generate available channel list X method specifically include,
S21: according to available channel quality evaluation standard, the demand of application scenarios and the application scenarios to channel is determined；
S22: channel attribute subjectivity weight is determined using analytic hierarchy process (AHP)；
S23: channel attribute parameter value is collected, determines channel attribute objective weight using entropy assessment；
S23: building complex weight is combined by the objective weight that the obtained subjective weight of step S22 and step S23 obtain；
S25: the approach degree of each channel is calculated in conjunction with complex weight using TOPSIS method, potential set of available channels C is arranged
Sequence generates available channel list X.
3. cognition mobile ad-hoc network control channel selection method according to claim 1 or 2, it is characterised in that: institute
State available channel quality evaluation standard include: primary user's liveness, Signal to Interference plus Noise Ratio, working frequency points, signal bandwidth, coherence bandwidth and
Coherence time.
4. cognition mobile ad-hoc network control channel selection method according to claim 2, it is characterised in that step S21
Concrete mode of the middle determining application scenarios to channel demands are as follows: the requirement according to application scenarios to channel attribute, building judgement square
Battle array.
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| US11343817B2 (en) * | 2017-08-28 | 2022-05-24 | Konstantinos Amouris | Multi-tier density-aware location-based channel assignment and adaptive power control method for mobile ad-hoc networks |
| CN108649995B (en) * | 2018-05-16 | 2020-03-31 | 广东技术师范学院 | Cognitive radio blind convergence method based on available channel set |
| CN109168172B (en) * | 2018-09-17 | 2021-07-20 | 快快利华(北京)网络科技有限公司 | Wireless frequency hopping transmission method and device of multi-node ad hoc network |
| CN109861773B (en) * | 2019-03-01 | 2021-05-07 | 军事科学院系统工程研究院网络信息研究所 | Multi-user multi-channel network dynamic spectrum access method based on online learning |
| CN111934712B (en) * | 2020-08-07 | 2021-06-04 | 电子科技大学 | M sequence frequency hopping code structure reduction method based on dynamic reconstruction |
| CN112994739B (en) * | 2021-04-20 | 2021-07-30 | 南京邮电大学 | Autonomous link establishment and frequency conversion integrated communication method and system without common control channel |
| CN113179141A (en) * | 2021-04-25 | 2021-07-27 | 赵天铭 | Self-adaptive channel selection algorithm for network scheduling |
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