CN108347761A - Power distribution method in CRN and its application in wisdom traffic network - Google Patents
Power distribution method in CRN and its application in wisdom traffic network Download PDFInfo
- Publication number
- CN108347761A CN108347761A CN201810010665.9A CN201810010665A CN108347761A CN 108347761 A CN108347761 A CN 108347761A CN 201810010665 A CN201810010665 A CN 201810010665A CN 108347761 A CN108347761 A CN 108347761A
- Authority
- CN
- China
- Prior art keywords
- channel
- power
- users
- secondary users
- optimization problem
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
- H04W52/244—Interferences in heterogeneous networks, e.g. among macro and femto or pico cells or other sector / system interference [OSI]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
- H04W52/265—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the quality of service QoS
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/541—Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/543—Allocation or scheduling criteria for wireless resources based on quality criteria based on requested quality, e.g. QoS
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention relates to a kind of CRN（Cognitive radio networks）In power distribution method and the application in wisdom traffic network, belong to wireless communication technology field.Its technical solution includes：Imperfect channel state information is obtained by non-blind channel estimation method；Setting ensures that main users communicate the jamming power thresholding not influenced by Secondary Users；Using safe and effective capacity as object function, power limit is constraints, constructs robust optimization problem, and the optimal antithesis factor is acquired by Lagrange duality theory, and then acquire optimal transmission power, realizes optimal power allocation；Secondary Users carry out data transmission according to the power of distribution.The present invention not only makes Safety Cognition radio net meet the requirement in terms of user counts time delay QoS, more low for computation complexity, it is strong to channel adaptability the advantages that, there is important theory and realistic meaning.
Description
Technical field
The present invention relates to wireless communication technology fields, and in particular to power distribution method in a kind of CRN and its in wisdom
Application in transportation network.
Background technology
Frequency spectrum resource poor efficiency problem in wireless communication seriously constrains the development of New Generation Mobile Communication Network.Recognize
Know that radiotechnics can effectively improve the availability of frequency spectrum, to alleviate radio spectrum resources shortage problem.It passes through network node
Active cognition to local electromagnetic environment, neatly selects idle frequency spectrum resource, and frequency is improved to make full use of time-frequency cavity
The utilization ratio of spectrum.Cognitive radio communication mode based on frequency spectrum share allows Secondary Users to access master simultaneously with main users
The authorized spectrum band of user is wanted, but Secondary Users' transmitting terminal needs to adjust transmission power to ensure the jamming power to main users
No more than its patient interference threshold.
But cognitive radio networks（Cognitive radio networks, abbreviation CRN）Also it faces and compares conventional wireless
The increasingly complex security threat of network.In recent years, supplement of the safety of physical layer technology as Key Encryption Technology receives more next
More concerns.Meanwhile for bearing multimedia business, statistics time delay quality of service requirement is as safety problem, next
It is played a crucial role in being transmitted for cordless communication network.In cognitive radio networks, main users and Secondary Users
Share spectrum resources, flexible power distribution mechanism are most important to the raising of safety of physical layer capacity, cause researcher's
Extensive concern.L. the scholars such as Ma " IEEE 83th Vehicular Technology Conference, 2016:1-6 " is sent out
Article " the Delay-QoS-Driven Secrecy Power Allocation in Underlay Secure of table
Cognitive Radio System " propose the work(for ensureing statistics time delay qos requirement in a kind of Safety Cognition radio net
Rate allocation strategy.Under the conditions of imperfect channel state, by safe and effective capacity cross-layer model realization in different statistics time delays
Under qos requirement, the best performance of single user Safety Cognition radio net.
In practical communication environment, due to channel estimation errors, limited channel feedback, lack main users and secondary use
Signalling exchange between family is difficult or impossible to obtain ideal channel state information.Therefore the power distribution mechanism of physical layer
It should consider the uncertain influence to safety of physical layer capacity of channel.However, being devoted to greatly in current research work
The firm power distribution method in the cognitive radio networks in the case of channel state information is understood completely is studied, and is not considered
Influence of the channel state information to power distribution strategies in practical application.The scholars such as Nader Mokari are in " IEEE
Transactions on Signal Processing,2015,63(2):291:304 " articles and opinions " the Secure Robust delivered
Ergodic Uplink Resource Allocation in Relay-Assisted Cognitive Radio
Networks " is analyzed in the cognitive radio networks that there is eavesdropping user, and imperfect channel state information is in worst case
Under influence for power and subcarrier allocation strategy.In conclusion in the data found at present, there are no inquired into
When channel state information is incomplete, how the power for ensureing that statistics time delay QoS is required is designed in Safety Cognition radio net
Distribution method.
In addition, in wisdom traffic network technique field, the frequency range currently used for being communicated between vehicle termination is：5855MHz-
5925MHz, but increasing considerably with number of users and communication requirement, only 70MHz is led between cannot meeting vehicle termination
Letter demand.Experiment shows other authorized spectrum bands, and there is a large amount of " frequency spectrum cavity-pocket ", these " frequency spectrum cavity-pocket " mosts of the time
In be that with no authorized user is using, therefore, how in wisdom traffic network by these " frequency spectrum cavity-pockets " using in vehicle
It is become in the communication of terminal room as a research hotspot.
For this purpose, the wisdom traffic network technology based on cognitive radio is come into being.The technology allows the cognition of unauthorized
Authorized spectrum band or not interference band authorized user is not used in authorized user in user, is carried out using the frequency range of authorized user
Communication.And how detecting the idle frequency range of authorized user in wisdom traffic network and accurately carrying out power distribution just becomes
It is particularly significant, therefore it is based on a kind of rational cognitive radio networks（CRN）The wisdom traffic network communication of middle power distribution method
Technology communicates existing frequency spectrum resource shortage phenomenon between can alleviating vehicle termination to a certain extent.
Invention content
In view of the above-mentioned problems, the present invention provides in a kind of CRN power distribution method and its in wisdom traffic network
Application, the power distribution methods of the cognitive radio networks is primarily to effectively solve in Safety Cognition radio net
Robust power assignment problem ensures known to INFORMATION OF INCOMPLETE of Secondary Users' transmitting terminal to primary user channels
Secondary Users simultaneously maximize the maximum interference of main users less than interference temperature the effective and safe of cognitive radio networks simultaneously
Capacity.
Technical scheme is as follows：
A kind of CRN（Cognitive radio networks）In power distribution method, including have the following steps：
(1) it is obtained by using pilot signal non-ideal between main users and Secondary Users in Safety Cognition radio net
Channel state information, the main users are the authorized user of frequency spectrum in the network；
(2) setting ensures the interference threshold that the main users normal communication quality is not influenced by Secondary Users；
(3) using safe and effective capacity as object function, power limitation condition is constraints, constructs robustness optimization problem, asks
Obtain robustness power；
(3a) plans robustness optimization problem：
If channel between Secondary Users' transmitting terminal and main users receiving terminal is prevailing channel, Secondary Users' transmitting terminal with it is secondary
Channel between user's receiving terminal is secondary channel, and the channel between Secondary Users' transmitting terminal and eavesdropping end is tapping channel,It is the transient channel power gain of prevailing channel, secondary channel and tapping channel respectively,It is Secondary Users' transmitting terminal
Transient transmission power；Define vector；Due in practical communication, it is impossible to accurate to obtain from Secondary Users
Transmitting terminal is to the channel parameter between main users, there are certain channel estimation errors；Therefore it setsBy estimated value and
Two groups of error amount is grouped as：, whereinFor known channel estimation value,For unknown channel errors value,
Indicate channel gainUncertain set；Using safe and effective capacity as object function, power limitation condition is constraints, structure
Make following robust optimization problem：
（1）；
WhereinWithIndicate the interference threshold of the power limit and main users of Secondary Users；
The norm of (3b) robustness optimization problem indicates：
The solution of robustness optimization problem in formula (1) can be influenced by uncertain collection, be herein D- by uncertain set representations
The form of norm：
（2）；
WhereinIndicate weight,Indicate D- norms.Based on this, last two formula restrictive conditions in formula (1) can be with table
It is shown as
（3）；
Definition, then collection is not known, can deduce
（4）；
WhereinIndicate dual norm, in view ofFor a scalar, on the basis of (3) and (4) formula, robustness optimization
Problem can be expressed as with the form of D- norms
（5）；
(3c) acquires robustness performance number：
Verified, optimization problem (5) is convex optimization problem, the optimal solution of existence anduniquess；Its Lagrangian is established to (5),
And obtain the equation of following power distribution based on Karush-Kuhn-Tucker optimal conditions：
（6）；
WhereinWithFor Lagrange factor；In view of the convexity of optimization problem, solved using sub- gradient iteration method optimal
Go out Lagrange factorWith；Specific solution procedure is as follows：
A) primary iteration number is set, Lagrange factorWithInitial value be nonnegative real number；
B) when iterations are t, corresponding transmission power is solved according to formula (6)：
（7）；
C) it is theoretical to be based on random optimization, using following various update Lagrange factor：
（8）；
WhereinIt indicates,WithFor Lagrange factorWithCorresponding iteration step length；
If d)WithMeet predefined required precision, then；It is no
Then enable, go to step b), continue iteration until meeting predefined required precision；
E) optimal transmission power is solved according to formula (6)：
（9）；
(4) Secondary Users in system are according to optimal performance numberCarry out data transmission；
(5) main users and Secondary Users reacquire channel state information in system, if channel state information changes,
The transmission power of Secondary Users is then recalculated according to (3c)；Otherwise carry out data transmission according to original transmission power.
The present invention also provides a kind of if the power distribution method of above-mentioned cognitive radio networks is based on cognitive radio
Application in the wisdom traffic network of technology, to realize the idle frequency range of detection authorized user in wisdom traffic network and lead to
The cognitive user for accurately carrying out power distribution to allow unauthorized is crossed authorized spectrum band is not used in authorized user or does not interfere frequency
In the case of section authorized user, communicated using the frequency range of authorized user.
The beneficial benefit effect of the present invention is：The present invention is not directed in practical communication system channel state information often not
The case where known to completely, devises the robust power point that statistics time delay qos requirement is ensured in a kind of Safety Cognition radio net
Method of completing the square.It obtains imperfect channel state information by non-blind channel estimation method；Setting ensure main users communication not by
The jamming power thresholding that Secondary Users influence；Using safe and effective capacity as object function, power limit is constraints, constructs Shandong
Stick optimization problem, and the optimal antithesis factor is acquired by Lagrange duality theory, and then optimal transmission power is acquired, it is real
Existing optimal power allocation；Secondary Users carry out data transmission according to the power of distribution.The present invention has compared with prior art
Following advantages：First, the present invention has fully considered the imperfect channel state information in practical communication system, designed power
Distribution method has the characteristics that robustness to the variation of channel circumstance, to take into account the optimality and robustness of system；Second, this
It invents the power distribution method in the cognitive radio networks proposed and has ensured security of system and statistics time delay qos requirement simultaneously
Bi-objective, and so that limited frequency spectrum and power resource are most effectively used, there is great theory and realistic meaning.
Description of the drawings
The communication system schematic diagram of Fig. 1 methods to realize the present invention.
Fig. 2 is the flow chart of the method for the present invention.
Fig. 3 is available capacity performance map when Secondary Users are carried out data transmission using the method for the present invention.
Specific implementation mode
Below in conjunction with the accompanying drawings and specific embodiment the present invention is described in further detail.
Embodiment 1
Referring to Fig.1, the Safety Cognition radio network communication model which uses includes main users receiving terminal, secondary use
Family transmitting terminal, Secondary Users' receiving terminal, eavesdropping four, end communication node.It is low to the jamming power of main users receiving terminal ensureing
Under conditions of interference temperature, Secondary Users' transmitting terminal sends signal to Secondary Users' receiving terminal.Assuming that between Secondary Users
Channel information and Secondary Users to the channel information between eavesdropping user be completely known.In this communication process, end is eavesdropped
Signal of communication can be eavesdropped, Secondary Users' transmitting terminal according to the variation of channel status and the requirement of upper-layer user QoS into
Mobile state power distribution so that communication system can complete secret communication ensureing the under the premise of of counting time delay QoS.
Due in practical communication from Secondary Users transmitting terminal to main users between channel parameterIt can not possibly be accurate
It obtains, there are certain channel estimation errors.Therefore it setsIt is grouped as by two groups of estimated value and error amount：
（10）；
WhereinFor known channel estimation value,For unknown channel errors value.Indicate channel gainUncertain collection
It closes, can be the form of D- norms by uncertain set representations：
（11）；
WhereinIndicate weight,Indicate D- norms.
Based on system above model, we are not exclusively known in Secondary Users' transmitting terminal to channel information between main users
In the case of, design ensures the robust power distribution method of statistics time delay qos requirement.The target of the power distribution method is to maximize
The safe and effective capacity of Secondary Users, while limiting the power of Secondary Users' transmitting terminal in a certain range, and to main
The jamming power of user is under certain thresholding.
With reference to Fig. 2, the present invention carries out the tool of robust power distribution according to the Safety Cognition radio network communication model of Fig. 1
Body implementation steps are as follows：
Step 1：Build above-mentioned Safety Cognition radio net.Secondary Users' transmitting terminal is obtained by non-sidewalk for visually impaired people channel estimation methods
Channel information.Secondary Users' transmitting terminal obtains channel information estimated value by sidewalk for visually impaired people channel information, and use D- norms
Form indicate channel uncertain set,；
Step 2：Setting ensures the interference threshold that the main users normal communication quality is not influenced by Secondary Users；
Step 3：(3a), using safe and effective capacity as object function, power limitation condition is constraints, and it is excellent to construct following robust
Change problem：
（12）；
WhereinIndicate the power limit of Secondary Users；
The norm of (3b), robustness optimization problem indicates：
Last two formula restrictive conditions in formula (12) can be expressed equivalently as：
（13）；
Definition, then collection is not known, can deduce：
（14）；
WhereinIndicate dual norm, in view ofFor a scalar, on the basis of (13) and (14) formula, robustness is excellent
Change problem is represented by：
（15）；
(3c) acquires robustness performance number：
Solve the optimization problem in formula (15) based on Lagrangian and Karush-Kuhn-Tucker optimal conditions, obtain as
The equation of lower power distribution：
（16）；
WhereinWithFor Lagrange factor, it is contemplated that the convexity of optimization problem (15) is solved most using sub- gradient iteration method
Excellent Lagrange factorWith, specific solution procedure is as follows：
I., primary iteration number is set, Lagrange factorWithInitial value be nonnegative real number；
Ii. when iterations are t, corresponding transmission power is solved according to formula (16)：
；
Iii. it is theoretical to be based on random optimization, using following various update Lagrange factor：
；
WhereinIt indicates,WithFor Lagrange factorWithCorresponding iteration step length；
If iv.WithMeet predefined required precision, then；It is no
Then enable, go to step ii, continues iteration until meeting predefined required precision；
V. optimal transmission power is solved according to formula (16)：
；
Step 4：Secondary Users in system are according to optimal performance numberCarry out data transmission；
Step 5：Main users and Secondary Users reacquire channel state information in system, if channel status changes,
The transmission power of Secondary Users is then recalculated according to step 3；Otherwise carry out data transmission according to original transmission power.
Fig. 3 gives the present invention the simulation experiment result for carrying out power distribution.In figureIndicate Secondary Users to mainly
When channel state information between user is ideal situation, the available capacity of Secondary Users with QoS index variations curve.WithContinuous increase, that is to say that channel errors range constantly increases, the available capacity of Secondary Users constantly reduces, but also finds out
The decreasing value of this available capacity there is no withProportional increase.This phenomenon explanation, nonideality information is for secondary
The performance of user network has harmful effect, but with the probabilistic enhancing of channel, robustness power proposed by the invention point
Method of completing the square its improvement of system performance is also enhanced therewith.
Embodiment 2
The embodiment be on the basis of the power distribution method for the cognitive radio networks that embodiment 1 provides, proposition based on
The wisdom traffic network system of cognitive radio, the idle frequency range of system detectio authorized user and by accurately carrying out work(
Rate distributes to allow the cognitive user of unauthorized that authorized spectrum band or not interference band authorized user situation is not used in authorized user
Under, it is communicated using the frequency range of authorized user, existing frequency spectrum resource shortage is communicated between vehicle termination to be effectively relieved
Phenomenon.
The above is only the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the technical principles of the invention, several improvement and replacement are can be made into, these improve and replace
It should be regarded as the protection domain of invention.
Claims (3)
1. the power distribution method in a kind of CRN, which is characterized in that including having the following steps：
S1, by using pilot signal obtain Safety Cognition radio net in it is non-ideal between main users and Secondary Users
Channel state information, main users are the authorized user of frequency spectrum in the network；
S2, setting ensure the interference threshold that main users normal communication quality is not influenced by Secondary Users；
S3, using safe and effective capacity as object function, power limitation condition is constraints, construct robustness optimization problem, ask
Obtain robustness performance number；
Secondary Users in S4, system are according to optimal performance numberCarry out data transmission；
Main users and Secondary Users reacquire channel state information in S5, system, if channel state information changes,
The transmission power of Secondary Users is then recalculated according to S3；Otherwise carry out data transmission according to original transmission power.
2. the power distribution method of cognitive radio networks according to claim 1, it is characterised in that：In S3, specifically include：
(3a) plans robustness optimization problem：
If channel between Secondary Users' transmitting terminal and main users receiving terminal is prevailing channel, Secondary Users' transmitting terminal with it is secondary
Channel between user's receiving terminal is secondary channel, and the channel between Secondary Users' transmitting terminal and eavesdropping end is tapping channel,It is the transient channel power gain of prevailing channel, secondary channel and tapping channel respectively,It is Secondary Users' transmitting
The transient transmission power at end defines vector；Due in practical communication, it is impossible to accurate to obtain from secondary
User's transmitting terminal is to the channel parameter between main users, there are certain channel estimation errors, therefore setBy estimating
Two groups of evaluation and error amount are grouped as：, whereinFor known channel estimation value,For unknown channel
Error amount,Indicate channel gainUncertain set；Using safe and effective capacity as object function, power limitation condition is
Constraints constructs following robust optimization problem：
（1）；
WhereinIndicate the interference threshold of the power limit and main users of Secondary Users；
The norm of (3b) robustness optimization problem indicates：
The solution of robustness optimization problem in formula (1) can be influenced by uncertain collection, be herein D- by uncertain set representations
The form of norm：
（2）；
WhereinIndicate weight,Indicate D- norms；Based on this, last two formula restrictive conditions in formula (1) can indicate
For：
（3）；
Definition, then collection is not known, can deduce
（4）；
WhereinIndicate dual norm, in view ofFor a scalar, on the basis of (3) and (4) formula, robustness optimization
Problem can be expressed as with the form of D- norms：
（5）；
(3c) acquires robustness performance number：
Verified, optimization problem (5) is convex optimization problem, the optimal solution of existence anduniquess；Its Lagrangian is established to (5),
And obtain the equation of following power distribution based on Karush-Kuhn-Tucker optimal conditions：
（6）；
WhereinWithFor Lagrange factor；In view of the convexity of optimization problem, solve optimal to go out using sub- gradient iteration method
Lagrange factorWith, specific solution procedure is as follows：
a）Primary iteration number is set, Lagrange factorWithInitial value be nonnegative real number；
b）When iterations are t, corresponding transmission power is solved according to formula (6)：
（7）；
c）Based on random optimization theory, using following various update Lagrange factor：
（8）；
WhereinIt indicates,WithFor Lagrange factorWithCorresponding iteration step length；
d）IfWithMeet predefined required precision, then；It is no
Then enable, go to step b), continue iteration until meeting predefined required precision；
e）Optimal transmission power is solved according to formula (6)：
（9）.
3. the power distribution method in a kind of CRN as described in the appended claim 1 is in the wisdom traffic network based on cognitive radio
In application.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810010665.9A CN108347761A (en) | 2018-01-05 | 2018-01-05 | Power distribution method in CRN and its application in wisdom traffic network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810010665.9A CN108347761A (en) | 2018-01-05 | 2018-01-05 | Power distribution method in CRN and its application in wisdom traffic network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108347761A true CN108347761A (en) | 2018-07-31 |
Family
ID=62960379
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810010665.9A Pending CN108347761A (en) | 2018-01-05 | 2018-01-05 | Power distribution method in CRN and its application in wisdom traffic network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108347761A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110493873A (en) * | 2019-07-02 | 2019-11-22 | 全球能源互联网研究院有限公司 | A kind of wireless private network frequency spectrum distribution optimization method and device adapting to power business |
| CN114760702A (en) * | 2022-05-05 | 2022-07-15 | 中国联合网络通信集团有限公司 | Power distribution method and device, electronic equipment and storage medium |
| CN115276731A (en) * | 2022-06-23 | 2022-11-01 | 西北工业大学 | Telemetry link power distribution method based on multiple modes |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120172049A1 (en) * | 2011-01-05 | 2012-07-05 | The Hong Kong University Of Science And Technology | Bandwidth and power allocations for communication networks with imperfect spectrum sensing |
| CN103001684A (en) * | 2012-12-18 | 2013-03-27 | 清华大学 | Robust interference rejection method in multi-antenna cognitive radio communication system |
| CN103580806A (en) * | 2013-10-31 | 2014-02-12 | 西安电子科技大学 | Method for energy-efficient transmission of robustness in cognitive network |
| CN103826219A (en) * | 2014-03-11 | 2014-05-28 | 山东大学 | Secrecy system power allocation method capable of satisfying requirements on time delay QoS (Quality of Service) |
| CN104703191A (en) * | 2015-03-26 | 2015-06-10 | 山东大学 | Safety cognitive radio network power distribution method capable of ensuring time delay QoS requirement |
| CN105592408A (en) * | 2016-03-04 | 2016-05-18 | 山东大学 | Distribution method of D2D communication system resource under cellular network with incomplete channel information |
| CN105636216A (en) * | 2016-01-25 | 2016-06-01 | 西安电子科技大学 | Robust power allocation method based on throughput maximization |
| CN105657839A (en) * | 2015-12-23 | 2016-06-08 | 山东大学 | Power distribution method for full-duplex multi-carrier safety system based on QoS requirements |
| CN105764130A (en) * | 2016-03-04 | 2016-07-13 | 山东大学 | Power distribution method for full-duplex relay network in nonideal channel state |
-
2018
- 2018-01-05 CN CN201810010665.9A patent/CN108347761A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120172049A1 (en) * | 2011-01-05 | 2012-07-05 | The Hong Kong University Of Science And Technology | Bandwidth and power allocations for communication networks with imperfect spectrum sensing |
| CN103001684A (en) * | 2012-12-18 | 2013-03-27 | 清华大学 | Robust interference rejection method in multi-antenna cognitive radio communication system |
| CN103580806A (en) * | 2013-10-31 | 2014-02-12 | 西安电子科技大学 | Method for energy-efficient transmission of robustness in cognitive network |
| CN103826219A (en) * | 2014-03-11 | 2014-05-28 | 山东大学 | Secrecy system power allocation method capable of satisfying requirements on time delay QoS (Quality of Service) |
| CN104703191A (en) * | 2015-03-26 | 2015-06-10 | 山东大学 | Safety cognitive radio network power distribution method capable of ensuring time delay QoS requirement |
| CN105657839A (en) * | 2015-12-23 | 2016-06-08 | 山东大学 | Power distribution method for full-duplex multi-carrier safety system based on QoS requirements |
| CN105636216A (en) * | 2016-01-25 | 2016-06-01 | 西安电子科技大学 | Robust power allocation method based on throughput maximization |
| CN105592408A (en) * | 2016-03-04 | 2016-05-18 | 山东大学 | Distribution method of D2D communication system resource under cellular network with incomplete channel information |
| CN105764130A (en) * | 2016-03-04 | 2016-07-13 | 山东大学 | Power distribution method for full-duplex relay network in nonideal channel state |
Non-Patent Citations (1)
| Title |
|---|
| 马柳青: "保障时延QoS的安全认知无线电网络跨层资源分配研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110493873A (en) * | 2019-07-02 | 2019-11-22 | 全球能源互联网研究院有限公司 | A kind of wireless private network frequency spectrum distribution optimization method and device adapting to power business |
| CN110493873B (en) * | 2019-07-02 | 2023-06-30 | 全球能源互联网研究院有限公司 | Wireless private network spectrum allocation optimization method and device suitable for power service |
| CN114760702A (en) * | 2022-05-05 | 2022-07-15 | 中国联合网络通信集团有限公司 | Power distribution method and device, electronic equipment and storage medium |
| CN115276731A (en) * | 2022-06-23 | 2022-11-01 | 西北工业大学 | Telemetry link power distribution method based on multiple modes |
| CN115276731B (en) * | 2022-06-23 | 2023-09-19 | 西北工业大学 | Multimode-based telemetry link power distribution method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107947878B (en) | Cognitive radio power distribution method based on energy efficiency and spectrum efficiency joint optimization | |
| CN111615200B (en) | Unmanned aerial vehicle auxiliary communication resource allocation method for Hybrid NOMA network | |
| Wang et al. | Optimal energy-efficient power allocation for OFDM-based cognitive radio networks | |
| CN108462950B (en) | NOMA-based D2D communication combined sub-channel and power distribution method | |
| CN106792731B (en) | Satellite communication power distribution method based on non-cooperative game | |
| CN107995615B (en) | Heterogeneous network NOMA physical layer safety transmission method | |
| CN111586646B (en) | Resource allocation method for D2D communication combining uplink and downlink channels in cellular network | |
| Zhang et al. | Energy and spectrum efficient power allocation with NOMA in downlink HetNets | |
| CN106211302A (en) | Non-orthogonal multiple accesses isomery UNE resource allocation methods | |
| CN108347761A (en) | Power distribution method in CRN and its application in wisdom traffic network | |
| CN102271338A (en) | Method for cognizing channel and power joint distribution of radio network | |
| CN103052111A (en) | Method for selecting interuser communication modes under different base stations | |
| WO2019237793A1 (en) | Pilot frequency distribution method in large-scale antanna system | |
| CN101729164B (en) | Wireless resource allocation method and cognitive radio user equipment | |
| CN109451569A (en) | A kind of resource allocation methods wirelessly taken in energy heterogeneous network | |
| CN108462996A (en) | A kind of non-orthogonal multiple network resource allocation method | |
| CN109788540A (en) | Power control and method for channel allocation in D2D system based on energy acquisition | |
| CN105101383B (en) | Power distribution method based on frequency spectrum share efficiency maximum | |
| CN106059734B (en) | Massive mimo system pilot distribution method based on edge customer interference metric values | |
| CN103326984B (en) | A kind of channel allocation method based on conflict threshold restriction | |
| CN108601075A (en) | The single user water injection power distribution method of OFDM cognitive radio systems | |
| CN108449737A (en) | Downlink high energy efficiency power distribution method based on D2D in a kind of distributing antenna system | |
| CN105007585B (en) | Power distribution method based on outage probability efficiency maximum | |
| CN107249212B (en) | The maximized power distribution method of efficiency in a kind of D2D communication | |
| CN103428866B (en) | Based on the channel of adjacent-channel interference and the distribution system of power and distribution method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180731 |