CN106412926A - Control channel selection method of cognitive mobile ad hoc network - Google Patents
Control channel selection method of cognitive mobile ad hoc network Download PDFInfo
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- CN106412926A CN106412926A CN201610827894.0A CN201610827894A CN106412926A CN 106412926 A CN106412926 A CN 106412926A CN 201610827894 A CN201610827894 A CN 201610827894A CN 106412926 A CN106412926 A CN 106412926A
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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
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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Abstract
The invention discloses a control channel selection method of a cognitive mobile ad hoc network. The method comprises the following steps: S1, executing spectrum sensing by all cognitive users to acquire respective potential available channel sets C and available channel numbers M; S2, estimating the quality and sorting all available channels in the available channel sets C to generate an available channel list X; S3, constructing a frequency hopping sequence set Y by using a specific mapping criterion to generate a frequency hopping pattern; S4, executing channel skipping according to the frequency hopping pattern; and running a handshake protocol for interaction; and S5, judging whether the interaction is successful, if so, terminating and completing control channel selection; and otherwise, returning to step S4. The control channel selection method has the beneficial effects that the interaction time is short, the selected control channel has stronger robustness for the liveness of main user, and spectrum holes can be fully utilized to improve the spectral efficiency.
Description
Technical field
The present invention relates to control channel selection technique field, specifically a kind of cognition mobile ad-hoc network controls to be believed
Road system of selection.
Background technology
Cognitive radio (cognitive radio, CR), as a kind of smart frequency spectrum technology of sharing, is currently led to by perception
The change of letter environment, learns external environment condition feature based on artificial intelligence, and self-adaptative adjustment running parameter, and energy chance accesses primary
Family (primary user, PU) temporarily unused idle channel, thus effectively improve the availability of frequency spectrum.Mobile ad hoc network
(mobile ad hoc network, MANET) is a kind of wireless self-organization network that need not dispose static infrastructure.To recognize
Know that radiotechnics incorporates MSNET network, can flexibly, fast build and dispose cognitive MANET (CR-MANET) network.CR-
MSNET network is the expansion to MANET for the cognitive radio technology, and its wireless frequency spectrum is not fixed, but is found by frequency spectrum perception
Spectrum interposition, dynamic access.
CR-MANET network does not generally configure special control channel, but execution network management, Routing Protocol, frequency spectrum perception
Deng needs interactive control information among the nodes.In CR-MANET network, it is distributed in primary user in communication range to mandate
The random occupancy of channel can cause the available channel collection of different cognitive users (secondary user, SU) to have spatial diversity
Property, and with primary user's active state dynamic change.
In recent years, control channel is selected to receive based on frequency hop sequences widely studied.But existing based on intersection technology
Control channel select in, mostly by channel can use, constant premised on design frequency hop sequences, do not consider primary user's mechanicses and letter
The impact that road quality selects to control channel, either FH Sequence Design, or average intersection time, maximum intersection time etc.
Index all has improvement and room for promotion.
Content of the invention
For the problems referred to above, the invention provides a kind of cognition mobile ad-hoc network control channel system of selection, pass through
Extract available channel attribute, based on multiple attribute decision making (MADM), channel quality is estimated and sorts, and according to assessment result design etc.
Time slot frequency pattern, this approach reduces the intersection time, improves the robustness to primary user's activity.
For reaching above-mentioned purpose, the concrete technical scheme that the present invention adopts is as follows：
A kind of cognition mobile ad-hoc network control channel system of selection, it is critical only that and follows the steps below：
S1：All cognitive user execute frequency spectrum perception, obtain each potential set of available channels C and number of available channels M；
S2：According to the attribute of available channel, the quality of available channels all in set of available channels C is estimated and arranges
Sequence, generates available channel list X；
S3：Frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；
S4：Execute channel hopping according to frequency pattern, and run Handshake Protocol and carry out intersection；
S5：Judge whether intersection success, if so, terminate, complete control channel and select；Otherwise return to step S4.
Further, in step S2, available channel quality is estimated and sorts, the method generating available channel list X
Specifically include,
S21：According to available channel quality evaluation standard, determine application scenarios and this application scenarios demand to channel；
S22：Determine channel attribute subjectivity weight using analytic hierarchy process (AHP)；
S23：Collect channel attribute parameter value, determine channel attribute objective weight using entropy assessment；
S23：The objective weight that the subjective weight being obtained by step S22 and step S23 obtain combines and builds complex weight；
S25：Using TOPSIS method, in conjunction with complex weight, calculate the approach degree of each channel, to potential set of available channels
C sorts, and generates available channel list X.
Further describe, described available channel quality evaluation standard includes：Primary user's liveness, Signal to Interference plus Noise Ratio, work
Frequency, signal bandwidth, coherence bandwidth and coherence time.
Further describe, in step S21, determine that application scenarios to the concrete mode of channel demands are：According to application scenarios
Requirement to channel attribute, builds judgement matrix.
Further describe, the concrete grammar of step S3 is：
S31：Respectively set of available channels C, available channel list X are numbered, obtain set of available channels C={ c1,
c2..., available channel list X={ x1,x2,…}；
S32：Determine inverse proportion function relational design mapping rule, according to yiWith xiRelational expressionTry to achieve yi,
Thus obtaining frequency hop sequences set Y={ y1,y2,…}；Wherein yiFor channel ciOccurrence number in frequency pattern, xiFor channel ci
Sequence number in available channel list X；MiFor i-th cognitive user a cycle of operation by frequency spectrum perception obtain potential
Number of available channels；
S33：Sequence of calculation length L：Wherein, [] represents that house zero rounds；
S34：Do not repeat to extract according to the frequency hop sequences set Y that pseudo-random sequence obtains to step S32 and generate frequency pattern.
Beneficial effects of the present invention：Generated based on inverse proportion mapping rule proposed by the present invention execution available channel list and jump
Frequency sequence set, and then design frequency pattern, its intersection time is short, and selected control channel is to primary user's liveness robustness
Higher, frequency spectrum cavity-pocket can be made full use of, improve the availability of frequency spectrum.
Brief description
Fig. 1 is present invention cognition mobile ad-hoc network control channel system of selection 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
Below in conjunction with the accompanying drawings the specific embodiment and operation principle of the present invention is described in further detail.
It will be seen from figure 1 that a kind of cognition mobile ad-hoc network control channel system of selection, following steps carry out：
S1：All cognitive user execute frequency spectrum perception, obtain each potential set of available channels C and number of available channels M；
S2：According to the attribute of available channel, the quality of available channels all in set of available channels C is estimated and arranges
Sequence, generates available channel list X；
In conjunction with Fig. 2 as can be seen that its concrete grammar is,
S21：According to available channel quality evaluation standard, determine application scenarios and this application scenarios demand to channel；
S22：Determine channel attribute subjectivity weight using analytic hierarchy process (AHP)；
S23：Collect channel attribute parameter value, determine channel attribute objective weight using entropy assessment；
S23：The objective weight that the subjective weight being obtained by step S22 and step S23 obtain combines and builds complex weight；
S25：Using TOPSIS method, in conjunction with complex weight, calculate the approach degree of each channel, to potential set of available channels
C sorts, and generates available channel list X.
Further, in the present embodiment, available channel quality evaluation standard includes：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 the impact deciding factor to cognitive user availability for the channel.
Signal to Interference plus Noise Ratio：Signal to Interference plus Noise Ratio is defined as the received signal power of cognitive user and the ratio of interference and noise power, table
Levy received signal quality, be one of index of cognitive user energy proper communication and frequency spectrum judging.I-th cognitive user is in channel ck
On Signal to Interference plus Noise Ratio be：
Wherein,WithIt is respectively i-th cognitive user transmitting terminal, other cognitive user to send out
Penetrate end and the transmission power of primary user and its channel gain to i-th cognitive user receiving terminal；N0For noise power；Ns,NpPoint
Wei not cognitive user number and primary amount；aiFor the signal transmission spatial coverage of i-th cognitive user transmitting terminal, ifOtherwise f (am,ai)=1.
Working frequency points：High band wave coverage is little, and transfer rate is high；Low-frequency range coverage is big, and penetration capacity is strong.
Signal bandwidth：Signal bandwidth B=f2-f1, wherein f1,f2It is low-limit frequency and the highest frequency component of signal respectively.
Coherence bandwidth：Multipath effect in communication process for the electric wave leads to delay spread.Coherence bandwidth is to characterize multipath letter
The parameter of road characteristic, is defined as the difference on the frequency scope that channel is in strong correlation.
Coherence time：Doppler effect in communication process for the electric wave leads to doppler spread.Coherence time is in time domain
The parameter of description channel frequency dispersion, is defined as the time difference scope that channel is in strong correlation.
Determine that application scenarios to the concrete mode of channel demands are：According to the requirement to channel attribute for the application scenarios, build
Judgement matrix.
S3：Frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；In conjunction with Fig. 3, its tool
Body method is：
S31：Respectively set of available channels C, available channel list X are numbered, obtain set of available channels C={ c1,
c2..., available channel list X={ x1,x2,…}；
S32：Determine inverse proportion function relational design mapping rule, according to yiWith xiRelational expressionTry to achieve yi,
Thus obtaining frequency hop sequences set Y={ y1,y2,…}；Wherein yiFor channel ciOccurrence number in frequency pattern, xiFor channel ci
Sequence number in available channel list X；MiFor i-th cognitive user a cycle of operation by frequency spectrum perception obtain potential
Number of available channels；
S33：Sequence of calculation length L：Wherein, [] represents that house zero rounds；
S34：Do not repeat to extract according to the frequency hop sequences set Y that pseudo-random sequence obtains to step S32 and generate frequency pattern.
S4：According to pseudo-random sequence, frequency pattern executes channel hopping, and runs Handshake Protocol and carry out intersection；
S5：Judge whether intersection success, if so, terminate, complete control channel and select；Otherwise return to step S4.
The requirement to channel attribute for the different application scene is different, and such as two applications of urban and suburban, to channel attribute
Require different.
In city, user density is big, translational speed is slow.The impact to cognitive user for primary user's activity is primary factor, one
Denier primary user activates busy channel, and cognitive user must immediately exit from.The interference in city and noise are notable, and Signal to Interference plus Noise Ratio is required
High；City high building stands in great numbers, and multipath effect substantially, has high demands to channel coherence bandwidth；User moving speed is slower, and Doppler is imitated not
Substantially, it is possible to decrease the requirement to channel coherency time.
In suburb, user density is little, environment is open.Primary user's activation is still primary factor, and Signal to Interference plus Noise Ratio is had high demands；With
Family translational speed is fast, and Doppler effect substantially, has high demands to channel coherency time；Environment is open, and multipath effect is inconspicuous, can put
The wide requirement to channel coherence bandwidth.
Low-frequency range coverage is big, under other channel attribute equal conditions, preferably 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 canonical parameter is as shown in table 2：
| Channel attribute | Distribution |
| Primary user's primary user's liveness | Obey being uniformly distributed of 0-0.1 time/unit time slot |
| Signal to Interference plus Noise Ratio | Obey being uniformly distributed of 5-30dB |
| Bandwidth | 200kHz |
| Frequency | GSM900 frequency range frequency |
| Coherence bandwidth | Delay spread obeys being uniformly distributed of 10-500ns |
| Coherence time | Doppler spread obeys being uniformly distributed of 30-90Hz |
In the present embodiment, the number of available channels that cognitive user obtains through frequency spectrum perception is 5, and its channel number is C=
{c1,c2,c3,c4,c5}.
, with primary user's liveness, Signal to Interference plus Noise Ratio, working frequency points, signal bandwidth, coherence bandwidth taking city application scenarios as a example
It is available channel quality evaluation standard with coherence time, city application scenarios each available channel quality evaluation standard value such as table 3
Shown：
According to the requirement to available channel quality evaluation standard for the city application scenarios, build judgement matrix as shown in table 4.
Determine channel attribute subjectivity weight using analytic hierarchy process (AHP)：
WS=[0.3913 0.2609 0.0870 0.1739 0.0435 0.0435]
Determine channel attribute objective weight 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, calculate the approach degree of each channel in conjunction with complex weight, and candidate channel is sorted, be can use
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 long intersection time cannot meet the demand to time delay for the application.The present embodiment selects average intersection time (average time
To rendezvous, ATTR) and the maximum intersection time (maximum time to rendezvous, MTTR) reflect as assessment
Penetrate the index of criterion intersection time.
The inverse proportion mapping rule that the present embodiment is designed carries out 5000 times with Linear Mapping criterion, parabolic mapping criterion
Monte Carlo contrast simulation.Draw and selected based on the frequency pattern execution control channel that inverse proportion mapping rule generates, it is put down
All intersection time and maximum intersection time are all short than Linear Mapping criterion and parabolic mapping criterion, are specifically shown in Fig. 4 and Fig. 5 institute
Show.
Execution channel quality assessment obtains available channel list, and the channel quality the most front that wherein sorts is best.Preferred channels
In frequency pattern, proportion is bigger, and intersection success rate is higher, also more can guarantee that the communication quality of time user.Permissible from Fig. 6
Find out, preferred channels proportion in frequency pattern under three kinds of mapping rules, result shows：In three kinds of mapping rules, base
In the frequency pattern that inverse proportion mapping rule generates, preferred channels proportion highest.
Claims (5)
1. a kind of cognition mobile ad-hoc network control channel system of selection is it is characterised in that follow the steps below：
S1：All cognitive user execute frequency spectrum perception, obtain each potential set of available channels C and number of available channels M；
S2：According to the attribute of available channel, the quality of available channels all in set of available channels C is estimated and sorts,
Generate available channel list X；
S3：Frequency hop sequences set Y is constructed using specific mapping rule, and then generates frequency pattern；
S4：Execute channel hopping according to frequency pattern, and run Handshake Protocol and carry out intersection；
S5：Judge whether intersection success, if so, terminate, complete control channel and select；Otherwise return to step S4.
2. according to claim 1 cognition mobile ad-hoc network control channel system of selection it is characterised in that：Step S2
In available channel quality be estimated and sort, the method generating available channel list X specifically includes,
S21：According to available channel quality evaluation standard, determine application scenarios and this application scenarios demand to channel；
S22：Determine channel attribute subjectivity weight using analytic hierarchy process (AHP)；
S23：Collect channel attribute parameter value, determine channel attribute objective weight using entropy assessment；
S23：The objective weight that the subjective weight being obtained by step S22 and step S23 obtain combines and builds complex weight；
S25：Using TOPSIS method, in conjunction with complex weight, calculate the approach degree of each channel, potential set of available channels C is arranged
Sequence, generates available channel list X.
3. according to claim 1 and 2 cognition mobile ad-hoc network control channel system of selection it is characterised in that：Institute
State available channel quality evaluation standard to 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 system of selection according to claim 2 is it is characterised in that step S21
Middle determination application scenarios to the concrete mode of channel demands be：According to the requirement to channel attribute for the application scenarios, build judgement square
Battle array.
5. cognition mobile ad-hoc network control channel system of selection according to claim 1 is it is characterised in that step S3
Concrete grammar be：
S31：Respectively set of available channels C, available channel list X are numbered, obtain set of available channels C={ c1,
c2..., available channel list X={ x1,x2,…}；
S32：Determine inverse proportion function relational design mapping rule, according to yiWith xiRelational expressionTry to achieve yi, thus
Obtain frequency hop sequences set Y={ y1,y2,…}；Wherein yiFor channel ciThe number of times occurring in frequency pattern, xiFor channel ci?
Sequence number in available channel list X；MiFor i-th cognitive user a cycle of operation by frequency spectrum perception obtain potential can
Use the number of channel；
S33：Sequence of calculation length L：Wherein, [] represents that house zero rounds；
S34：Do not repeat to extract according to the frequency hop sequences set Y that pseudo-random sequence obtains to step S32 and generate frequency pattern.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108649995A (en) * | 2018-05-16 | 2018-10-12 | 广东技术师范学院 | A kind of blind congregation method of cognitive radio based on available channel collection |
| CN109168172A (en) * | 2018-09-17 | 2019-01-08 | 快快乐动（北京）网络科技有限公司 | A kind of wireless hop of multinode ad hoc network keeps pouring in transmission method and device |
| CN109861773A (en) * | 2019-03-01 | 2019-06-07 | 军事科学院系统工程研究院网络信息研究所 | A kind of multi-user and multi-channel network dynamic frequency spectrum access method based on on-line study |
| CN111434150A (en) * | 2017-08-28 | 2020-07-17 | K·阿穆里斯 | Multi-level, density-aware, location-based channel assignment and adaptive power control methods for mobile ad-hoc networks |
| CN111934712A (en) * | 2020-08-07 | 2020-11-13 | 电子科技大学 | M sequence frequency hopping code structure reduction method based on dynamic reconstruction |
| CN113179141A (en) * | 2021-04-25 | 2021-07-27 | 赵天铭 | Self-adaptive channel selection algorithm for network scheduling |
| WO2022222196A1 (en) * | 2021-04-20 | 2022-10-27 | 南京邮电大学 | Autonomous link establishment and frequency conversion integrated communication method and system without common control channel |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1878027A (en) * | 2006-06-30 | 2006-12-13 | 西安电子科技大学 | Multiuser resource allocation method based on cognitive radio system |
| CN101257714A (en) * | 2008-04-08 | 2008-09-03 | 浙江大学 | Across layer self-adapting paralleling channel allocating method of cognized radio system |
| CN101466119A (en) * | 2009-01-08 | 2009-06-24 | 北京邮电大学 | Method for establishing common channel of cognition radio based on game theory |
| CN101500240A (en) * | 2008-02-01 | 2009-08-05 | 华为技术有限公司 | Method and apparatus for implementing multi-channel scheduling |
| CN104219772A (en) * | 2013-05-31 | 2014-12-17 | 华为技术有限公司 | A channel accessing method and channel accessing device |
-
2016
- 2016-09-18 CN CN201610827894.0A patent/CN106412926B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1878027A (en) * | 2006-06-30 | 2006-12-13 | 西安电子科技大学 | Multiuser resource allocation method based on cognitive radio system |
| CN101500240A (en) * | 2008-02-01 | 2009-08-05 | 华为技术有限公司 | Method and apparatus for implementing multi-channel scheduling |
| CN101257714A (en) * | 2008-04-08 | 2008-09-03 | 浙江大学 | Across layer self-adapting paralleling channel allocating method of cognized radio system |
| CN101466119A (en) * | 2009-01-08 | 2009-06-24 | 北京邮电大学 | Method for establishing common channel of cognition radio based on game theory |
| CN104219772A (en) * | 2013-05-31 | 2014-12-17 | 华为技术有限公司 | A channel accessing method and channel accessing device |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111434150A (en) * | 2017-08-28 | 2020-07-17 | K·阿穆里斯 | Multi-level, density-aware, location-based channel assignment and adaptive power control methods for mobile ad-hoc networks |
| CN111434150B (en) * | 2017-08-28 | 2024-02-13 | K·阿穆里斯 | Multi-tier, density-aware, location-based channel assignment and adaptive power control method for mobile ad hoc networks |
| CN108649995A (en) * | 2018-05-16 | 2018-10-12 | 广东技术师范学院 | A kind of blind congregation method of cognitive radio based on available channel collection |
| CN109168172A (en) * | 2018-09-17 | 2019-01-08 | 快快乐动（北京）网络科技有限公司 | A kind of wireless hop of multinode ad hoc network keeps pouring in transmission method and device |
| 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 |
| CN109861773A (en) * | 2019-03-01 | 2019-06-07 | 军事科学院系统工程研究院网络信息研究所 | A kind of multi-user and multi-channel network dynamic frequency spectrum access method based on on-line study |
| 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 |
| CN111934712A (en) * | 2020-08-07 | 2020-11-13 | 电子科技大学 | M sequence frequency hopping code structure reduction method based on dynamic reconstruction |
| 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 |
| WO2022222196A1 (en) * | 2021-04-20 | 2022-10-27 | 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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