CN106507361B - A kind of safety of physical layer communication optimization system and method based on cloud wireless access network - Google Patents
A kind of safety of physical layer communication optimization system and method based on cloud wireless access network Download PDFInfo
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- CN106507361B CN106507361B CN201611092120.4A CN201611092120A CN106507361B CN 106507361 B CN106507361 B CN 106507361B CN 201611092120 A CN201611092120 A CN 201611092120A CN 106507361 B CN106507361 B CN 106507361B
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000004891 communication Methods 0.000 title claims abstract description 28
- 238000012545 processing Methods 0.000 claims description 22
- 239000011159 matrix material Substances 0.000 claims description 16
- 239000013598 vector Substances 0.000 claims description 12
- 239000013256 coordination polymer Substances 0.000 claims description 4
- 238000005562 fading Methods 0.000 claims description 4
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/08—Access security
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3911—Fading models or fading generators
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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
- H04W16/18—Network planning tools
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Abstract
The safety of physical layer communication optimization system and method based on cloud wireless access network that the invention discloses a kind of, the present invention is based on cloud wireless access planar network architectures, under system safe capacity constraint condition, carry out minimum optimization to system total cost function.Total cost function therein considers system bandwidth cost and Power penalty simultaneously.The present invention is solved using the convex optimisation technique of difference and minimizes optimization problem, and specific method includes: to establish secure communication Optimized model based on cloud wireless access network；It is handled by zeroth order norm approximation and converts the convex optimization problem of standard difference for above-mentioned Optimized model；It reuses iteration method and the convex optimization problem of above-mentioned difference is decomposed into the convex optimization problem of standard, final optimal solution can be solved using classical convex optimization scalarization method, network overhead is effectively reduced, improves safe capacity and the safety of network system.
Description
Technical field
The present invention relates to wireless communication technology field more particularly to a kind of safety of physical layer based on cloud wireless access network are logical
Believe optimization system and method.
Background technique
Cloud wireless access network (Cloud-RAN, C-RAN) is handled based on centralization, collaborative radio and real-time cloud
Calculate the green wireless access network framework of framework.Its target is to solve mobile Internet fast development to brought by operator
Various aspects challenge, including energy consumption, construction and O&M cost and frequency spectrum resource etc..Cloud wireless access network based on caching,
The caching of setting certain capacity inside each wireless base station, if the downloading content of user's request is in cache contents, base station is straight
It connects and sends the file to target user.Mitigate the pressure of center processor passback with this, reduces network overhead.
On the other hand, wireless communication system due to its communication media opening so that any user can receive
All signals in wireless channel.The wireless eavesdropping of malice can lead to information (such as call-information, identity information, position letter
Signaling information etc. between breath, data information and movement station and the network control center) leakage, the identity information of mobile subscriber and
The leakage of location information can cause mobile subscriber by radio tracking.
In cloud wireless access network system, the safe capacity of legal link how is improved, is had become urgently to be solved
Technical problem.
Summary of the invention
In view of the above drawbacks of the prior art, it is wireless based on cloud that technical problem to be solved by the invention is to provide one kind
The safety of physical layer communication optimization system and method for net are accessed, to improve the safe capacity of system.
To achieve the above object, the present invention provides a kind of safety of physical layer communication optimization system based on cloud wireless access network
System, it is characterised in that: including center processor, multiple base stations, multiple eavesdropping users and multiple legitimate users, the center processing
Device is connect with multiple base stations, and each base station and multiple eavesdropping users, multiple legitimate users wirelessly communicate.
A kind of safety of physical layer communication optimization method based on cloud wireless access network, it is characterised in that: the center processing
Device has one, defines base station M, defines eavesdropping user NEIt is a, define legitimate user NAIt is a, base station is defined to legitimate user and is stolen
The wireless channel fading matrix for listening user is respectivelyWithDefine the wave beam of m-th of base station at
Shape vectorAnd the beamforming vectors of all base stationsIt is at this time
The safe rate of system may be defined as:
Above formulaWithRespectively represent the noise power of legitimate user Yu eavesdropping user receiver；
Assuming that the sub-clustering function of m-th of base station is sm, the s when m-th of base station belongs to serving BS collectionm=1, otherwise sm=
0；M-th of base station is defined to the buffer status c of file destinationm, the c when being stored with file destination in m-th of node B cachem=1,
Otherwise cm=0；
The bandwidth cost function for then defining system is
In above formula, R represents file size；
The power consumption cost function of system are as follows:
CP=Tr (wwH)
Above formula Tr () is Matrix Calculating trace function, the w inside Tr ()HThe conjugate transposition of representing matrix vector；
Total cost function are as follows:
Above formula η is a weight factor, can freely be chosen according to different scenes.
A kind of above-mentioned safety of physical layer communication optimization method based on cloud wireless access network, which is characterized in that including with
Lower step:
S1, the secure communication Optimized model based on cloud wireless access network is established, under safe capacity constraint, so that system is total
Cost function minimizes, it may be assumed that
Above formula CTRepresent preset safe capacity threshold value；
S2, according to constraint condition, to sub-clustering function smApproximation processing is carried out, according to constraint condition, can define| | | | the norm of representing matrix further according to zeroth order norm continuous approximate processing, and introduces loose change
Measure tm, can be by P0Optimization problem is converted into the above optimization problem:
In formula,Wherein θ is approximate variable, can use any positive number, above formula
S3, processing is iterated to above-mentioned optimization problem using difference convex optimization method, first by P1Problem is converted into mark
Quasi- DC optimization problem, it may be assumed that
Then it is iterated processing again.
A kind of above-mentioned safety of physical layer communication optimization method based on cloud wireless access network, which is characterized in that the step
The step of rapid S3 iterative processing are as follows:
A) it initializes: i=0, w(0)=winit,
B) the convex following subproblem of optimization tool solution of standard is used
C) it updates: i=i+1, w(i)=w, tm (i)=tm, when reaching iteration stopping condition, stop iteration；Otherwise it executes b)
Operation.
A kind of above-mentioned safety of physical layer communication optimization method based on cloud wireless access network, it is characterised in that: described
winitDetermination method, can be solved according to following optimization problem:
The beneficial effects of the present invention are:
The present invention is based on cloud wireless access planar network architectures, under system safe capacity constraint condition, to system total cost function
Carry out minimum optimization.Total cost function therein considers system bandwidth cost and Power penalty simultaneously.The present invention utilizes difference
Convex optimisation technique, which solves, minimizes optimization problem, and specific method includes: the secure communication of establishing based on cloud wireless access network optimization
Model；It is handled by zeroth order norm approximation and converts the convex optimization problem of standard difference for above-mentioned Optimized model；Reuse iteration
The convex optimization problem of above-mentioned difference is decomposed into the convex optimization problem of standard by change method, uses classical convex optimization scalarization method
Final optimal solution is solved, network overhead is effectively reduced, improves safe capacity and the safety of network system.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
Fig. 1 is structural schematic diagram of the invention.
Fig. 2 is flow chart of the invention.
Specific embodiment
As shown in Figure 1, a kind of safety of physical layer communication optimization system based on cloud wireless access network, it is characterised in that: packet
Include center processor 1, multiple base stations 2, multiple eavesdropping users 3 and multiple legitimate users 4, the center processor 1 and multiple bases
It stands 2 connections, each base station 2 is wirelessly communicated with multiple eavesdropping users 3, multiple legitimate users 4.
A kind of safety of physical layer communication optimization method based on cloud wireless access network, it is characterised in that: the center processing
Device 1 has one, and defining base station 2 has M, and defining eavesdropping user 3 has NEA, defining legitimate user 4 has NAIt is a, base station is defined to conjunction
The wireless channel fading matrix of method user and eavesdropping user is respectivelyWithDefine m-th of base station
Beamforming vectorsAnd the beamforming vectors of all base stations
The safe rate of system may be defined as at this time:
Above formulaWithRespectively represent the noise power of legitimate user Yu eavesdropping user receiver；
Assuming that the sub-clustering function of m-th of base station is sm, the s when m-th of base station belongs to serving BS collectionm=1, otherwise sm=
0；M-th of base station is defined to the buffer status c of file destinationm, the c when being stored with file destination in m-th of node B cachem=1,
Otherwise cm=0；
The bandwidth cost function for then defining system is
In above formula, R represents file size；
The power consumption cost function of system are as follows:
CP=Tr (wwH)
Above formula Tr () is Matrix Calculating trace function, the w inside Tr ()HThe conjugate transposition of representing matrix vector；
Total cost function are as follows:
Above formula η is a weight factor, can freely be chosen according to different scenes.
As shown in Fig. 2, a kind of safety of physical layer communication optimization method based on cloud wireless access network of the present embodiment, special
Sign is, comprising the following steps:
S1, the secure communication Optimized model based on cloud wireless access network is established, under safe capacity constraint, so that system is total
Cost function minimizes, it may be assumed that
Above formula CTRepresent preset safe capacity threshold value；
S2, according to constraint condition, to sub-clustering function smApproximation processing is carried out, according to constraint condition, can define| | | | the norm of representing matrix further according to zeroth order norm continuous approximate processing, and introduces loose change
Measure tm, can be by P0Optimization problem is converted into the above optimization problem:
In formula,Wherein θ is approximate variable, can use any positive number, above formula
S3, processing is iterated to above-mentioned optimization problem using difference convex optimization method, first by P1Problem is converted into mark
Quasi- DC optimization problem, it may be assumed that
Then it is iterated processing again.
A kind of safety of physical layer communication optimization method based on cloud wireless access network of the present embodiment, which is characterized in that institute
The step of stating step S3 iterative processing are as follows:
C) it initializes: i=0, w(0)=winit,
D) the convex following subproblem of optimization tool solution of standard is used
C) it updates: i=i+1, w(i)=w, tm (i)=tm, when reaching iteration stopping condition, stop iteration；Otherwise it executes b)
Operation.
A kind of safety of physical layer communication optimization method based on cloud wireless access network of the present embodiment, it is characterised in that: institute
State winitDetermination method, can be solved according to following optimization problem:
To sum up, the present invention is based on cloud wireless access planar network architectures, under system safe capacity constraint condition, to system total cost
Function carries out minimum optimization.Total cost function therein considers system bandwidth cost and Power penalty simultaneously.The present invention utilizes
The convex optimisation technique of difference, which solves, minimizes optimization problem, and specific method includes: to establish secure communication based on cloud wireless access network
Optimized model；It is handled by zeroth order norm approximation and converts the convex optimization problem of standard difference for above-mentioned Optimized model；It reuses
The convex optimization problem of above-mentioned difference is decomposed into the convex optimization problem of standard by iteration method, uses classical convex optimization scalarization method
Final optimal solution can be solved, network overhead is effectively reduced, improves safe capacity and the safety of network system.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that those skilled in the art without
It needs creative work according to the present invention can conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be within the scope of protection determined by the claims.
Claims (4)
1. a kind of safety of physical layer communication optimization system based on cloud wireless access network, it is characterised in that: including center processor
(1), multiple base stations (2), multiple eavesdropping users (3) and multiple legitimate users (4), the center processor (1) and multiple base stations
(2) it connects, each base station (2) and multiple eavesdropping users (3), multiple legitimate users (4) wirelessly communicate, center processor
(1) there is one, define base station (2) M, define eavesdropping user (3) NEIt is a, define legitimate user (4) NAIt is a, base station is defined to conjunction
The wireless channel fading matrix of method user and eavesdropping user is respectivelyWithDefine m-th of base
The beamforming vectors stoodAnd the beamforming vectors of all base stations
The safe rate of system may be defined as at this time:
Above formulaWithRespectively represent the noise power of legitimate user Yu eavesdropping user receiver；
Assuming that the sub-clustering function of m-th of base station is sm, the s when m-th of base station belongs to serving BS collectionm=1, otherwise sm=0；It is fixed
Buffer status c of adopted m-th of the base station to file destinationm, the c when being stored with file destination in m-th of node B cachem=1, otherwise
cm=0；
The bandwidth cost function for then defining system is
In above formula, R represents file size；
The power consumption cost function of system are as follows:
CP=Tr (wwH)
Above formula Tr () is Matrix Calculating trace function, the w inside Tr ()HThe conjugate transposition of representing matrix vector；
Total cost function are as follows:
Above formula η is a weight factor, can freely be chosen according to different scenes,
The following steps are included:
S1, the secure communication Optimized model based on cloud wireless access network is established, under safe capacity constraint, so that system total cost
Function minimization, it may be assumed that
Above formula CTRepresent preset safe capacity threshold value；
S2, according to constraint condition, to sub-clustering function smApproximation processing is carried out, according to constraint condition, can define| | | | the norm of representing matrix further according to zeroth order norm continuous approximate processing, and introduces loose change
Measure tm, can be by P0Optimization problem is converted into the above optimization problem:
In formula,Wherein θ is approximate variable, can use any positive number, above formula
S3, processing is iterated to above-mentioned optimization problem using difference convex optimization method, first by P1It is excellent that problem is converted into standard DC
Change problem, it may be assumed that
Then it is iterated processing again.
2. a kind of safety of physical layer communication optimization method based on cloud wireless access network, it is characterised in that: the center processor
(1) there is one, define base station (2) M, define eavesdropping user (3) NEIt is a, define legitimate user (4) NAIt is a, base station is defined to conjunction
The wireless channel fading matrix of method user and eavesdropping user is respectivelyWithDefine m-th of base station
Beamforming vectorsAnd the beamforming vectors of all base stations
The safe rate of system may be defined as at this time:
Above formulaWithRespectively represent the noise power of legitimate user Yu eavesdropping user receiver；
Assuming that the sub-clustering function of m-th of base station is sm, the s when m-th of base station belongs to serving BS collectionm=1, otherwise sm=0；It is fixed
Buffer status c of adopted m-th of the base station to file destinationm, the c when being stored with file destination in m-th of node B cachem=1, otherwise
cm=0；
The bandwidth cost function for then defining system is
In above formula, R represents file size；
The power consumption cost function of system are as follows:
CP=Tr (wwH)
Above formula Tr () is Matrix Calculating trace function, the w inside Tr ()HThe conjugate transposition of representing matrix vector；
Total cost function are as follows:
Above formula η is a weight factor, can freely be chosen according to different scenes,
The following steps are included:
S1, the secure communication Optimized model based on cloud wireless access network is established, under safe capacity constraint, so that system total cost
Function minimization, it may be assumed that
Above formula CTRepresent preset safe capacity threshold value；
S2, according to constraint condition, to sub-clustering function smApproximation processing is carried out, according to constraint condition, can define| | | | the norm of representing matrix further according to zeroth order norm continuous approximate processing, and introduces loose change
Measure tm, can be by P0Optimization problem is converted into the above optimization problem:
In formula,Wherein θ is approximate variable, can use any positive number, above formula
S3, processing is iterated to above-mentioned optimization problem using difference convex optimization method, first by P1It is excellent that problem is converted into standard DC
Change problem, it may be assumed that
Then it is iterated processing again.
3. a kind of safety of physical layer communication optimization method based on cloud wireless access network as claimed in claim 2, feature exist
In, the step S3 iterative processing the step of are as follows:
A) it initializes: i=0, w(0)=winit,
B) the convex following subproblem of optimization tool solution of standard is used
C) it updates: i=i+1, w(i)=w, tm (i)=tm, when reaching iteration stopping condition, stop iteration；Otherwise it executes and b) grasps
Make.
4. a kind of safety of physical layer communication optimization method based on cloud wireless access network as claimed in claim 3, feature exist
In: the winitDetermination method, can be solved according to following optimization problem:
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| CN112468197B (en) * | 2020-12-01 | 2021-11-12 | 东南大学 | Beam forming and user association method in joint optimization C-RAN |
| CN113747452B (en) * | 2021-07-16 | 2023-08-08 | 国网河北省电力有限公司雄安新区供电公司 | Cloud wireless access network communication cooperative beam forming design method and system |
| CN117880817B (en) * | 2024-03-11 | 2024-05-07 | 广州番禺职业技术学院 | Unmanned aerial vehicle track and beam forming vector determination method and device and electronic equipment |
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| CN106131967A (en) * | 2016-06-30 | 2016-11-16 | 南京理工大学 | Security coordination dispatching method based on cloud Radio Access Network downlink |
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| US9736274B2 (en) * | 2013-11-14 | 2017-08-15 | Avago Technologies General Ip (Singapore) Pte. Ltd. | Radio over ethernet mapper physical layer device (PHY) |
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| CN104053179A (en) * | 2014-05-07 | 2014-09-17 | 重庆邮电大学 | C-RAN system simulation platform |
| CN105959234A (en) * | 2016-06-30 | 2016-09-21 | 南京理工大学 | Load balance resource optimization method under safety perceptive cloud radio access network |
| CN106060851A (en) * | 2016-06-30 | 2016-10-26 | 南京理工大学 | Secure resource optimization method under congestion control in heterogeneous cloud wireless access network |
| CN106131967A (en) * | 2016-06-30 | 2016-11-16 | 南京理工大学 | Security coordination dispatching method based on cloud Radio Access Network downlink |
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