CN108430110B - A kind of power distribution method and system recognizing car networking cooperation communication system - Google Patents
A kind of power distribution method and system recognizing car networking cooperation communication system Download PDFInfo
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- CN108430110B CN108430110B CN201810190828.6A CN201810190828A CN108430110B CN 108430110 B CN108430110 B CN 108430110B CN 201810190828 A CN201810190828 A CN 201810190828A CN 108430110 B CN108430110 B CN 108430110B
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- 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
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- 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
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- 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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a kind of power distribution methods and system for recognizing car networking cooperation communication system.The described method includes: obtaining the first channel fading coefficient and second channel fading coefficients firstly, establish cognitive system model；Then, according to the first channel fading coefficient, the outage probability model comprising power allocation factor is established, and calculates the value of corresponding power allocation factor when the probability value minimum of the outage probability model comprising power allocation factor, as initial power distribution factor；According to second channel fading coefficients, the interfering signal power for sending signal and generating to each node in main communication system of source node is calculated, and determines limitation power allocation factor；The optimal power allocation factor is finally determined according to initial power distribution factor and limitation power allocation factor；Match the power of cognition car networking cooperation communication system according to optimal power allocation Factor minute, and realize the distribution of power according to optimal power coefficient, improves the performance of communication system.
Description
Technical field
The present invention relates to car networking field, in particular to a kind of power distribution method for recognizing car networking cooperation communication system
And system.
Background technique
Current urban transportation can generate high density traffic information especially in traffic congestion or generation car accident
Transmission.Car networking is mobile ad hoc network of the vehicle as transmission node, and the bandwidth of 5.9GHz has been assigned to worldwide
On vehicle dedicated network, however, frequency spectrum resource is still deficient in car networking.With the continuous growth to spectrum requirement, cognition
Radio technology is developed in car networking as a kind of means for improving the availability of frequency spectrum.It is moved to further increase
The performance of dynamic communication system, equally needs to install on system transmitting terminal or receiving end generally as mimo system more antennas
Realize diversity.However, due to size, complexity, cost or other limitations, mobile terminal can not be supported multiple in car networking
Physical antenna.Collaboration communication increasingly receives the concern of people, it allows individual antenna to generate one in a multi-user environment
Virtual MIMO array, to realize the miniaturization of MIMO technology.One basic cooperation communication system by source node, in
After three nodes compositions of, destination node, relay node assists source node to forward a signal to destination node.In addition, cooperation is logical
Letter has been demonstrated to can effectively improve the reliability of wireless system, covering surface and handling capacity, and can obtain in fading environment
Higher diversity gain.By integration and cooperation relaying technique, cognition wireless network can use more spectrum opportunities to realize
Higher spectrum efficiency.
Car networking is to support that vehicle is logical using wireless local area network technology to vehicle (V2V) and vehicle-infrastructure (V2I)
Letter feasible environment and establish.In actual vehicle mobile environment, each vehicle can be considered as a movement eventually
End can also help other vehicles to send information while with base station communication.Relaying is using the decoding-in cooperation diversity protocol
The general technologies such as (DF) and amplification-forwarding (AF) are forwarded to help the communication of source-destination node.In AF technology, relaying only exists
Amplify before forward signal and receive signal, is easiest to realize, but be also exaggerated noise simultaneously.AF technology do not need to be decoded or
Quantization operation reduces the complexity of calculating.In DF technology, data of the relay reception from source node are decoded, re-encoding,
It finally transmits again, eliminates the noise adulterated in the signal received.Experiment so far is it has been proved that in low signal-to-noise ratio
Under conditions of, the performance of AF agreement is better than DF agreement, but when noise is relatively high, the performance of DF agreement is better than AF association
View.How to realize that AF agreement or DF agreement issue the distribution of the power for the number of delivering letters, realize the transmission of optimal power, becomes at present urgently
Technical problem to be solved.
Summary of the invention
The object of the present invention is to provide it is a kind of recognize car networking cooperation communication system power distribution method and system, in order to
It realizes that AF agreement or DF agreement issue the distribution of the power for the number of delivering letters, realizes the transmission of optimal power.
To achieve the above object, the present invention provides following schemes:
A kind of power distribution method recognizing car networking cooperation communication system, which is characterized in that the power distribution method
Include the following steps:
Cognitive system model is established, the cognitive system model includes source node, relay node and destination node；
The channel fading coefficient in the cognition car networking system model of communication system between each node is calculated, obtains the
One channel fading coefficient；
Channel fading coefficient in calculus communication system model in each node and main communication system between each host node, is obtained
Obtain second channel fading coefficients；
According to first channel fading coefficient, calculate source node sends the corresponding signal-to-noise ratio for receiving signal of signal；
The signal-to-noise ratio for receiving signal is the signal-to-noise ratio of the reception signal of relay node under DF agreement and the reception signal of destination node
Signal-to-noise ratio or AF agreement under source node the reception signal for sending the corresponding destination node of signal signal-to-noise ratio；
According to the signal-to-noise ratio for receiving signal, the outage probability model comprising power allocation factor is established；It is described to include
The outage probability model of power allocation factor is the outage probability model or AF agreement including power allocation factor under DF agreement
Under the outage probability model including power partition coefficient；
Calculate corresponding power allocation factor when the probability value minimum of the outage probability model comprising power allocation factor
Value, as initial power distribution factor；
According to the second channel fading coefficients, the cognitive system model is calculated in signals transmission to principal communication
The interfering signal power that each host node in system generates；
According to the interfering signal power and preset power threshold, limitation power allocation factor is determined；
The optimal power allocation factor is determined according to the initial power distribution factor and the limitation power allocation factor；
Power according to the optimal power allocation Factor minute with cognition car networking cooperation communication system.
Optionally, the channel fading calculated in the cognition car networking system model of communication system between each node
Coefficient obtains the first channel fading coefficient, specifically includes:
According to the position of each node in the cognition car networking system model of communication system, obtain between each node
Distance；
Meet Gaussian Profile based on the channel fading coefficient, according to the distance between described each node, utilizes formulaCalculate the channel fading coefficient h between source node and destination node0, utilize formula
Calculate the channel fading coefficient h between source node and relay node1, utilize formulaCalculate destination node and
Channel fading coefficient h between relay node2, obtain the first channel fading coefficient, whereinC indicates that constant related with environment, τ indicate path loss
Index, dSDIndicate the distance between source node and destination node, dSRIndicate the distance between source node and relay node, dDRTable
Show the distance between destination node and relay node, first channel fading coefficient includes h0、h1And h2。
Optionally, in the calculus communication system model between each node and relevant host node each in main communication system
Channel fading coefficient, obtain second channel fading coefficients, specifically include:
According to the position and principal communication system of source node and relay node in the cognition car networking system model of communication system
The position of each relevant host nodes in system obtains the distance of each relevant host nodes and relaying section in source node and main communication system respectively
The distance of each relevant host nodes in point and main communication system；The relevant host nodes include the first host node and the second host node；
Meet Gaussian Profile based on the channel fading coefficient, according to relevant host nodes each in source node and main communication system
Distance and relay node and main communication system in each relevant host nodes distance, utilize formulaIt calculates
Channel fading coefficient h between source node and the first host nodeS1, utilize formulaCalculate source node and the
Channel fading coefficient h between two host nodesS2, utilize formulaCalculate relay node and the first host node
Between channel fading coefficient hR1, utilize formulaCalculate the letter between relay node and the second host node
Road fading coefficients hR2；Obtain second channel fading coefficients；The second channel fading coefficients include hS1、hS2、hR1、hR2。
Wherein,C is indicated and ring
The related constant in border, τ indicate path loss index, dS1Indicate the distance between source node and the first host node, dS2Expression source section
The distance between point and the second host node, dR1Indicate the distance between relay node and the first host node, dR2Indicate relay node
The distance between second host node.
Optionally, described according to first channel fading coefficient, calculate the corresponding reception letter of transmission signal of source node
Number signal-to-noise ratio；The signal-to-noise ratio for receiving signal is the signal-to-noise ratio and destination node of the reception signal of relay node under DF agreement
Reception signal signal-to-noise ratio when, specifically include:
According to DF agreement, the relay node decodes the reception signal of relay node, obtains relay node and receives
The signal-to-noise ratio of signal, and judge whether to be properly received signal, obtain judging result；The relay node receives the signal-to-noise ratio of signal
γRFor γR=α | h1|2γ, wherein α is the power allocation factor for the signal that source node is sent to relay node, h1For source node
Channel fading coefficient between relay node, γ=P/N0, P is general power, N0Indicate the side of all additive white Gaussian noises
Difference；
If the judging result is illustrated as, the relay node forwards the reception signal of the relay node, and counts
The signal-to-noise ratio for calculating the reception signal of destination node at this time, obtains the first signal-to-noise ratio；The first signal-to-noise ratio γD1For γD1=(α | h0
|2+β|h2|2) γ, wherein β indicates that relay node is sent to the power allocation factor of the signal of destination node, h0Indicate source node
Channel fading coefficient between destination node, h2Indicate the channel fading coefficient between destination node and relay node；
If the judging result be it is no, the relay node does not forward the reception signal of the relay node, and calculates
The signal-to-noise ratio of the reception signal of destination node at this time, obtains the second signal-to-noise ratio；The second signal-to-noise ratio γD2For γD2=α | h0|2
γ。
Optionally, according to first channel fading coefficient, the corresponding reception signal of transmission signal of source node is calculated
Signal-to-noise ratio；The signal-to-noise ratio for receiving signal is the reception signal for sending the corresponding destination node of signal of source node under AF agreement
Signal-to-noise ratio, specifically include:
According to AF agreement, the relay node amplifies the reception signal of relay node, obtains amplified signal,
And amplified signal is transmitted to the destination node；The amplified signal xRForWherein,
α is the power allocation factor for the signal that source node is sent to relay node, h1Channel between source node and relay node declines
Fall coefficient, xSFor the transmission signal of source node, P is general power, N0Indicate the variance of all additive white Gaussian noises, nRIn expression
After the variance of the additive white Gaussian noise of node；
According to the amplified signal for sending signal and the relay node and sending of the source node, destination node is calculated
Reception signal signal-to-noise ratio γD,Wherein, h0Indicate source node and purpose section
Channel fading coefficient between point, h2Indicate that the channel fading coefficient between destination node and relay node, β indicate relay node
It is sent to the power allocation factor of the signal of destination node, γ=P/N0, P is general power, N0Indicate all additive white Gaussian noises
Variance.
Optionally, described according to the signal-to-noise ratio for receiving signal, establish the outage probability mould comprising power allocation factor
Type；The outage probability model comprising power allocation factor is the outage probability mould including power allocation factor under DF agreement
When type, specifically include:
According to the signal-to-noise ratio of the reception signal of the signal-to-noise ratio and destination node of the reception signal of relay node under DF agreement, meter
Calculate the outage probability model including power allocation factor under DF agreement are as follows:
Wherein, g (r)=22r- 1, r indicate message transmission rate.
Optionally, described according to the signal-to-noise ratio for receiving signal, establish the outage probability mould comprising power allocation factor
Type；The outage probability model comprising power allocation factor is the outage probability mould including power allocation factor under AF agreement
When type, specifically include:
According to the signal-to-noise ratio of the reception signal of destination node under AF agreement, calculating under AF agreement includes power allocation factor
Outage probability model are as follows:
Wherein, g (r)=22r- 1, r indicate message transmission rate.
A kind of power distribution system recognizing car networking cooperation communication system, the power distribution system include:
Cognitive system model building module, for establishing cognitive system model, the cognitive system model include source node,
Destination node and relay node；
First channel fading coefficient computing module, it is each in the cognition car networking system model of communication system for calculating
Channel fading coefficient between node obtains the first channel fading coefficient；
Second channel fading coefficients computing module, in each node in calculus communication system model and main communication system
Channel fading coefficient between each host node obtains second channel fading coefficients；
Signal-to-noise ratio computation module, for according to first channel fading coefficient, the transmission signal for calculating source node to be corresponding
Reception signal signal-to-noise ratio；It is described receive signal signal-to-noise ratio be DF agreement under relay node reception signal signal-to-noise ratio and
The reception signal for sending the corresponding destination node of signal of source node under the signal-to-noise ratio or AF agreement of the reception signal of destination node
Signal-to-noise ratio；
Outage probability model building module, for according to it is described receive signal signal-to-noise ratio, establish comprising power distribution because
The outage probability model of son；The outage probability model comprising power allocation factor be DF agreement under include power distribution because
The outage probability model or the outage probability model including power allocation factor under AF agreement of son；
Initial power distribution factor obtains module, for calculating the probability of the outage probability model comprising power allocation factor
The value of value corresponding power allocation factor when minimum, as initial power distribution factor；
Interfering signal power obtains module, for calculating the cognitive system mould according to the second channel fading coefficients
The interfering signal power that type generates each host node in main communication system in signals transmission；
Power allocation factor determining module is limited, is used for according to the interfering signal power and preset power threshold, really
Definite limitation power allocation factor；
Optimal power allocation factor determining module, for according to the initial power distribution factor and the limitation power point
The optimal power allocation factor is determined with the factor；
Power distribution module, for matching cognition car networking cooperation communication system according to the optimal power allocation Factor minute
Power.
Optionally, the first channel fading coefficient computing module, specifically includes:
First distance computational submodule, for according to each node in the cognition car networking system model of communication system
Position obtains the distance between each node；
First channel fading coefficient computational submodule, for meeting Gaussian Profile based on the channel fading coefficient, according to
The distance between described each node, utilizes formulaCalculate the channel fading between source node and destination node
Coefficient h0, utilize formulaCalculate the channel fading coefficient h between source node and relay node1, utilize formulaCalculate the channel fading coefficient h between destination node and relay node2, obtain the first channel fading system
Number, wherein C indicates that constant related with environment, τ indicate path
Loss index, dSDIndicate the distance between source node and destination node, dSRIndicate the distance between source node and relay node,
dDRIndicate the distance between destination node and relay node.
Optionally, the second channel fading coefficients computing module, specifically includes:
Second distance computational submodule is used for according to source node in the cognition car networking system model of communication system in
After the position of relevant host nodes each in the position of node and main communication system, each phase in source node and main communication system is obtained respectively
Close the distance of each relevant host nodes in the distance and relay node and main communication system of host node；The relevant host nodes include the
One host node and the second host node；
Second channel fading coefficients computational submodule, for meeting Gaussian Profile based on the channel fading coefficient, according to
Each relevant host nodes in the distance of each relevant host nodes and relay node and main communication system in source node and main communication system
Distance utilizes formulaCalculate the channel fading coefficient h between source node and the first host nodeS1, utilize public affairs
FormulaCalculate the channel fading coefficient h between source node and the second host nodeS2, utilize formulaCalculate the channel fading coefficient h between relay node and the first host nodeR1, utilize formulaCalculate the channel fading coefficient h between relay node and the second host nodeR2, obtain second channel decline
Coefficient；
Wherein,C is indicated and ring
The related constant in border, τ indicate path loss index, dS1Indicate the distance between source node and the first host node, dS2Expression source section
The distance between point and the second host node, dR1Indicate the distance between relay node and the first host node, dR2Indicate relay node
The distance between first host node.
The specific embodiment provided according to the present invention, the invention discloses following technical effects:
The invention discloses a kind of power distribution method and system for recognizing car networking cooperation communication system, this method is first
First, cognitive system model is established, the first channel fading coefficient is obtained and obtains the second fading coefficients；Then, according to the first channel
Fading coefficients establish the outage probability model comprising power allocation factor, and calculate the outage probability comprising power allocation factor
The value of corresponding power allocation factor when the probability value minimum of model, as initial power distribution factor；It is declined according to second channel
Coefficient is fallen, the interfering signal power for sending signal and generating to each node in main communication system of source node is calculated, and determines limit
Power allocation factor processed；Finally according to initial power distribution factor and limitation power allocation factor determine optimal power allocation because
Son；Power according to optimal power allocation Factor minute with cognition car networking cooperation communication system, and it is real according to optimal power coefficient
The distribution for having showed power improves the performance of communication system.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is a kind of flow chart of power distribution method for recognizing car networking cooperation communication system provided by the invention；
Fig. 2 is the schematic diagram of cognitive system model provided by the invention；
Fig. 3 is a kind of structure chart of power distribution system for recognizing car networking cooperation communication system provided by the invention；
Fig. 4 is under DF agreement provided by the invention and the relationship of the power allocation factor under AF agreement and outage probability song
Line；
Fig. 5 be DF agreement provided by the invention under and the signal-to-noise ratio under AF agreement and outage probability relation curve.
Specific embodiment
The object of the present invention is to provide it is a kind of recognize car networking cooperation communication system power distribution method and system, in order to
It realizes that AF agreement or DF agreement issue the distribution of the power for the number of delivering letters, realizes the transmission of optimal power.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Mode is applied to be described in further detail invention.
As shown in Figure 1, the present invention provides a kind of power distribution method for recognizing car networking cooperation communication system, feature
It is, the power distribution method includes the following steps:
Step 101, cognitive system model is established, as shown in Fig. 2, the cognitive system model includes source node S, purpose section
Point D and relay node R, the first host node in main communication system are S1, and the second host node is S2, source node S and relay node R
Transmission power be respectively as follows: PsAnd PR。
Step 102, the channel fading system in the cognition car networking system model of communication system between each node is calculated
Number obtains the first channel fading coefficient.It specifically includes:
According to the position of each node in the cognition car networking system model of communication system, obtain between each node
Distance；Meet Gaussian Profile based on the channel fading coefficient, according to the distance between described each node, utilizes formulaCalculate the channel fading coefficient h between source node and destination node0, utilize formula
Calculate the channel fading coefficient h between source node and relay node1, utilize formulaCalculate destination node and
Channel fading coefficient h between relay node2, obtain the first channel fading coefficient, whereinC indicates that constant related with environment, τ indicate path loss
Index, dSDIndicate the distance between source node and destination node, dSRIndicate the distance between source node and relay node, dDRTable
Show the distance between destination node and relay node.
Step 103, the channel in calculus communication system model in each node and main communication system between each host node declines
Coefficient is fallen, the second fading coefficients are obtained.It specifically includes:
According to the position and principal communication system of source node and relay node in the cognition car networking system model of communication system
The position of each relevant host nodes in system obtains the distance of each relevant host nodes and relaying section in source node and main communication system respectively
The distance of each relevant host nodes in point and main communication system；The relevant host nodes include the first host node and the second host node；
Meet Gaussian Profile based on the channel fading coefficient, according to the distance of relevant host nodes each in source node and main communication system and
The distance of each relevant host nodes, utilizes formula in relay node and main communication systemCalculate source node and
Channel fading coefficient h between first host nodeS1, utilize formulaCalculate source node and the second host node
Between channel fading coefficient hS2, utilize formulaCalculate the letter between relay node and the first host node
Road fading coefficients hR1, utilize formulaCalculate the channel fading system between relay node and the second host node
Number hR2, obtain second channel fading coefficients；Wherein, C indicates that constant related with environment, τ indicate path loss index, dS1Indicate source node and the first main section
The distance between point, dS2Indicate the distance between source node and the second host node, dR1Indicate relay node and the first host node it
Between distance, dR2Indicate the distance between relay node and the first host node.
Step 104, according to first channel fading coefficient, the corresponding reception signal of transmission signal of source node is calculated
Signal-to-noise ratio；The signal-to-noise ratio for receiving signal is the reception signal-to-noise ratio of signal of relay node and connecing for destination node under DF agreement
The signal-to-noise ratio of the reception signal for sending the corresponding destination node of signal of source node under the signal-to-noise ratio or AF agreement of the collection of letters number, specifically
Include:
The signal-to-noise ratio for receiving signal is the signal-to-noise ratio and destination node of the reception signal of relay node under DF agreement
When receiving the signal-to-noise ratio of signal, according to DF agreement, the relay node decodes the reception signal of relay node, in acquisition
The signal-to-noise ratio of signal is received after node, and judges whether to be properly received signal, obtains judging result；The relay node receives letter
Number signal-to-noise ratio γRFor γR=α | h1|2γ, wherein α is the power allocation factor for the signal that source node is sent to relay node,
h1Channel fading coefficient between source node and relay node, γ=P/N0, P is general power, N0Indicate all additive white gaussians
The variance of noise；If the judging result is illustrated as, the relay node forwards the reception signal of the relay node, and
The signal-to-noise ratio for calculating the reception signal of destination node at this time, obtains the first signal-to-noise ratio；The first signal-to-noise ratio γD1For γD1=(α
|h0|2+β|h2|2) γ, wherein β indicates that relay node is sent to the power allocation factor of the signal of destination node, h0Expression source section
Channel fading coefficient between point and destination node, h2Indicate the channel fading coefficient between destination node and relay node；If
The judging result be it is no, then the relay node does not forward the reception signal of the relay node, and calculates purpose section at this time
The signal-to-noise ratio of the reception signal of point, obtains the second signal-to-noise ratio；The second signal-to-noise ratio γD2For γD2=α | h0|2γ。
When the signal-to-noise ratio for receiving signal is the signal-to-noise ratio of reception signal of destination node under AF agreement, assisted according to AF
View, the relay node amplifies the reception signal of relay node, obtains amplified signal, and by amplified signal
It is transmitted to the destination node；The amplified signal xRForWherein, α is sent to for source node
The power allocation factor of the signal of relay node, h1Channel fading coefficient between source node and relay node, xSFor source node
Transmission signal, P is general power, N0Indicate the variance of all additive white Gaussian noises, nRIndicate the additive white gaussian of relay node
The variance of noise；According to the amplified signal for sending signal and the relay node and sending of the source node, purpose is calculated
The signal-to-noise ratio γ of the reception signal of nodeD,Wherein, h0Indicate source node and mesh
Node between channel fading coefficient, h2Indicate that the channel fading coefficient between destination node and relay node, β indicate relaying
Node is sent to the power allocation factor of the signal of destination node, γ=P/N0, P is general power, N0Indicate all additive white gaussians
The variance of noise.
Step 105, according to the signal-to-noise ratio for receiving signal, the outage probability model comprising power allocation factor is established；
The outage probability model comprising power allocation factor is the outage probability model including power allocation factor under DF agreement
Or the outage probability model including power partition coefficient under AF agreement；It specifically includes:
The outage probability comprising power allocation factor is the outage probability including power allocation factor under DF agreement
When, according to the signal-to-noise ratio of the reception signal of the signal-to-noise ratio and destination node of the reception signal of relay node under DF agreement, calculate DF
The outage probability model including power allocation factor under agreement are as follows:
Wherein, g (r)=22r- 1, r indicate message transmission rate.
The outage probability comprising power allocation factor is the outage probability including power allocation factor under AF agreement
When, according to the signal-to-noise ratio of the reception signal of destination node under AF agreement, calculating under AF agreement includes in power allocation factor
Disconnected probabilistic model are as follows:
Wherein, g (r)=22r- 1, r indicate message transmission rate.
Step 106, corresponding power point when the probability value minimum of the outage probability model comprising power allocation factor is calculated
Value with the factor, as initial power distribution factor.It specifically includes:
Under DF agreement, Pout,DF→fDF(α)(g(r)/γ)2γ → ∞ (3),
Wherein,
To fDF(α) minimizes, i.e., so that system break probability is minimum,
According to formula (6), as 0 < α < 1, there are minimums, enable formula (5) to be equal to 0, then can obtain original allocation coefficient:
And 0 < αopt,DF< 1 (7)
Wherein,
Under AF agreement: setting μ and ν and meet parameter as λμAnd λνExponential distribution, then the probability-distribution function of w=μ+ν are as follows:
When W tends to 0, formula (9) is approximately:
Pr (w < W)~(λμλν/2)W2 (10)
It is for z=μ ν/(μ+ν+1) probability density function
It can be seen that
Wherein
To fAF(α) minimizes, i.e., so that system break probability is minimum, obtains initial power distribution factor are as follows:
Wherein,
Step 107, according to the second channel fading coefficients, the cognitive system model is calculated in signals transmission
The interfering signal power that each host node in main communication system is generated；Specifically include: source node is in main communication system
The interfering signal power that one host node generates is PS1=Ps|hs1|2, interfering signal power that source node generates the second host node
For PS2=Ps|hs2|2, relay node is P to the interfering signal power that the first host node generatesR1=PR|hR1|2, relay node pair
The interfering signal power that second host node generates is PR2=PR|hR2|2.
Step 108, according to the interfering signal power no more than predetermined power threshold value, determine limitation power distribution because
Son；It specifically includes, in the case where recognizing car networking underlay mode, cognitive system may communicated all with main system, but be recognized at this time
Know that the communication of system cannot interfere with main system, therefore the transmission power of cognitive system will be restricted.Due to being by cognition
The influence for power control of uniting, needs to constrain power allocation factor, it is assumed that the maximum power of interference is no more than Pc, i.e., in advance
If power threshold is Pc, then source node S and relay node R generate the first host node S1 and the second host node S2 interference signal
Power need to meet following condition:
max(αP|hs1|2,αP|hs2|2)≤Pc (16)
max(βP|hR1|2,βP|hR2|2)≤Pc (17)
So
Therefore, power allocation factor α is limited0And β0For
Step 109, optimal power point is determined according to the initial power distribution factor and the limitation power allocation factor
With the factor；It specifically includes:
Due to cognitive system to main system to interference, the power of S and R are restricted, it is assumed that the limitation power of S and R point
It Wei not α0P and β0P, then at this time:
Under DF agreement,
Under AF agreement,
Step 110, the power according to the optimal power allocation Factor minute with cognition car networking cooperation communication system.
As shown in figure 3, the present invention also provides a kind of power distribution system for recognizing car networking cooperation communication system, the function
Rate distribution system includes:
Cognitive system model building module 301, for establishing cognitive system model, the cognitive system model includes source section
Point, destination node and relay node；
First channel fading coefficient computing module 302, for calculating in the cognition car networking system model of communication system
Channel fading coefficient between each node obtains the first channel fading coefficient；The first channel fading coefficient computing module
302, it specifically includes: first distance computational submodule, for according to each in the cognition car networking system model of communication system
The position of node obtains the distance between each node；First channel fading coefficient computational submodule, for being based on the channel
Fading coefficients meet Gaussian Profile, according to the distance between described each node, utilize formulaCalculating source section
Channel fading coefficient h between point and destination node0, utilize formulaCalculate source node and relay node it
Between channel fading coefficient h1, utilize formulaCalculate the channel fading between destination node and relay node
Coefficient h2, obtain the first channel fading coefficient, wherein C table
Show that constant related with environment, τ indicate path loss index, dSDIndicate the distance between source node and destination node, dSRIt indicates
The distance between source node and relay node, dDRIndicate the distance between destination node and relay node.
Second channel fading coefficients computing module 303, for each node in calculus communication system model and principal communication system
Channel fading coefficient in system between each host node obtains the second fading coefficients；The second channel fading coefficients computing module
303, it specifically includes: second distance computational submodule, for being saved according to source in the cognition car networking system model of communication system
The position of each relevant host nodes, obtains source node and main communication system respectively in the position and main communication system of point and relay node
In the distance of each relevant host nodes and the distance of each relevant host nodes in relay node and main communication system；The relevant host nodes
Including the first host node and the second host node；Second channel fading coefficients computational submodule, for being based on the channel fading system
Number meets Gaussian Profile, according to the distance of relevant host nodes each in source node and main communication system and relay node and principal communication system
The distance of each relevant host nodes, utilizes formula in systemCalculate the channel between source node and the first host node
Fading coefficients hS1, utilize formulaCalculate the channel fading coefficient h between source node and the second host nodeS2,
Utilize formulaCalculate the channel fading coefficient h between relay node and the first host nodeR1, utilize formulaCalculate the channel fading coefficient h between relay node and the second host nodeR2；
Wherein,C is indicated and ring
The related constant in border, τ indicate path loss index, dS1Indicate the distance between source node and the first host node, dS2Expression source section
The distance between point and the second host node, dR1Indicate the distance between relay node and the first host node, dR2Indicate relay node
The distance between second host node.
Signal-to-noise ratio computation module 304, for according to first fading coefficients, the transmission signal for calculating source node to be corresponding
Receive the signal-to-noise ratio of signal；The signal-to-noise ratio for receiving signal is the signal-to-noise ratio and mesh of the reception signal of relay node under DF agreement
Node reception signal signal-to-noise ratio or source node under AF agreement the reception signal that sends the corresponding destination node of signal
Signal-to-noise ratio.
Outage probability model building module 305, for according to the signal-to-noise ratio for receiving signal, establishing to include power distribution
The outage probability model of the factor；The outage probability model comprising power allocation factor is under DF agreement including power distribution
The outage probability model of the factor or the outage probability model including power allocation factor under AF agreement.
Initial power distribution factor obtains module 306, for calculating the outage probability model comprising power allocation factor
The value of corresponding power allocation factor when probability value minimum, as initial power distribution factor.
Interfering signal power obtains module 307, for calculating the cognitive system according to the second channel fading coefficients
The interfering signal power that model generates each host node in main communication system in signals transmission.
Power allocation factor determining module 308 is limited, is used for according to the interfering signal power no more than predetermined power
Threshold value determines limitation power allocation factor.
Optimal power allocation factor determining module 309, for according to the initial power distribution factor and the limitation function
Rate distribution factor determines the optimal power allocation factor.
Power distribution module 310, for matching cognition car networking collaboration communication system according to the optimal power allocation Factor minute
The power of system.
The present invention is also to the effect of system break probability and power distribution algorithm under quasi-static Rayleigh flat fading channel
It is emulated.In emulation, it is assumed that desired spectrum efficiency is 1.In emulation, it is assumed that relay node R and destination node D from compared with
Closely, with source node S from relatively a little further, i.e.,WithActual interrupt probability is special by covering
Caro emulates to obtain.
Fig. 4 is the pass of power allocation factor and outage probability when signal-to-noise ratio γ is 20dB and 30dB under underlay mode
It is curve, as shown in figure 4, assuming α in emulation0And β0It is all 0.7, wherein dotted portion is the upper bound under high s/n ratio, can be seen
The trend of upper bound curve is consistent with actual emulation out.Since the power by main system sends limitation, when S or R sends function
When rate is larger, then by power limit, so that there is floor effect in the right and left in curve.
The relation curve between signal-to-noise ratio and outage probability is given as shown in Figure 5.By curve it can be seen that optimal function
The performance of rate is better than average power allocation, the system break performance being also better than under other power distributions, theory deduction it is upper
Boundary is similar with the curved line relation of actual emulation.System performance under optimal power allocation is better than the system under average power allocation
Performance.It is 10 in outage probability-3In the case of, the system performance of AF and DF promote about 10dB respectively, and the performance of AF wants excellent
1dB is about improved under DF performance, high s/n ratio, this farther out from source node, causes R to receive in the bit error rate mainly due to relaying
It rises, when R reception is wrong, is then not involved in forwarding, cooperates just do not have effect at this time, and for using AF agreement, it is only right to relay
Signal amplification forwarding, it is all regardless of how poor trunk channel have, all help can be provided to the reception of D, so that performance is mentioned
It rises.
The power distribution problems in cognition car networking collaboration communication are had studied herein.The cooperation of cognition car networking has been built first
The system model of communication analyzes in underlay cognitive communications mode noise end to end under DF agreement and AF agreement respectively
Than relationship, the outage probability of system is derived, to the interference of main system by the close of system break probability in controlled range
Extreme value is sought like value, the optimal power allocation factor is obtained, the distribution of power is realized according to the optimal power allocation factor, is improved and is
The performance of system.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
Specific examples are used herein to describe the principles and implementation manners of the present invention, the explanation of above embodiments
Method and its core concept of the invention are merely used to help understand, described embodiment is only that a part of the invention is real
Example is applied, instead of all the embodiments, based on the embodiments of the present invention, those of ordinary skill in the art are not making creation
Property labour under the premise of every other embodiment obtained, shall fall within the protection scope of the present invention.
Claims (8)
1. a kind of power distribution method for recognizing car networking cooperation communication system, which is characterized in that the power distribution method packet
Include following steps:
Cognitive system model is established, the cognitive system model includes source node, relay node and destination node；
The channel fading coefficient in the cognitive system model between each node is calculated, the first channel fading coefficient is obtained；Institute
Stating the first channel fading coefficient includes between channel fading coefficient, source node and relay node between source node and destination node
Channel fading coefficient and destination node and relay node between channel fading coefficient；
Calculate the channel fading coefficient in the cognitive system model in source node and main communication system between each relevant host nodes
And the channel fading coefficient in relay node and main communication system between each relevant host nodes, obtain second channel fading coefficients；
The second channel fading coefficients include channel fading coefficient, source node and the second main section between source node and the first host node
Channel fading coefficient, relay node between point and the channel fading coefficient between the first host node and relay node and the second master
Channel fading coefficient between node；
According to first channel fading coefficient, calculate source node sends the corresponding signal-to-noise ratio for receiving signal of signal；It is described
The signal-to-noise ratio for receiving signal is the letter of the signal-to-noise ratio for receiving signal of relay node and the reception signal of destination node under DF agreement
Make an uproar than or AF agreement under source node the reception signal for sending the corresponding destination node of signal signal-to-noise ratio；
According to the signal-to-noise ratio for receiving signal, the outage probability model comprising power allocation factor is established；Described includes power
The outage probability model of distribution factor is under outage probability model including power allocation factor or AF agreement under DF agreement
Outage probability model including power allocation factor；
According to the signal-to-noise ratio for receiving signal, the outage probability model including power allocation factor under DF agreement is established, is had
Body includes: according to the signal-to-noise ratio of the reception signal of the signal-to-noise ratio and destination node of the reception signal of relay node under DF agreement, meter
Calculate the outage probability model including power allocation factor under DF agreement are as follows:
Pout,DF=Pr (γR> g (r)) Pr (γD1< g (r))
+Pr(γR< g (r)) Pr (γD2< g (r))
=Pr (α | h1|2> g (r) γ-1)Pr(α|h0|2+β|h2|2< g (r) γ-1)
+Pr(α|h1|2< g (r) γ-1)Pr(α|h0|2< g (r) γ-1)
Wherein, g (r)=22r- 1, r indicate message transmission rate；γRThe signal-to-noise ratio of signal, γ are received for relay nodeD1It is first
Signal-to-noise ratio, γD2For the second signal-to-noise ratio, α is the power allocation factor for the signal that source node is sent to relay node, and β indicates relaying
Node is sent to the power allocation factor of the signal of destination node, h1Channel fading system between source node and relay node
Number, h0Indicate the channel fading coefficient between source node and destination node, h2Indicate the channel between destination node and relay node
Fading coefficients；γ=P/N0, P is general power, N0Indicate the variance of all additive white Gaussian noises；
According to the signal-to-noise ratio for receiving signal, the outage probability model including power allocation factor under AF agreement is established, is had
Body includes: according to the signal-to-noise ratio of the reception signal of destination node under AF agreement, and calculating under AF agreement includes power allocation factor
Outage probability model are as follows:
The value of corresponding power allocation factor when the probability value minimum of the outage probability model comprising power allocation factor is calculated, is made
For initial power distribution factor；
According to the second channel fading coefficients, the cognitive system model is calculated in signals transmission to main communication system
In each host node generate interfering signal power；
According to the interfering signal power and preset power threshold, formula is utilizedWithDetermine limitation power allocation factor α0And β0；Wherein, PcFor preset power threshold,
hS1For the channel fading coefficient between source node and the first host node, hS2Channel between source node and the second host node declines
Fall coefficient；hR1For the channel fading coefficient between relay node and the first host node；hR2For relay node and the second host node it
Between channel fading coefficient；
The optimal power allocation factor is determined according to the initial power distribution factor and the limitation power allocation factor；Specific packet
It includes:
Under DF agreement, formula is utilizedWithDetermine the optimal power allocation factorWith
Under AF agreement, formula is utilizedWithDetermine the optimal power allocation factorWith
Wherein, WithRespectively distributed in the initial power distribution factor under DF agreement and the initial power under AF agreement
The factor；dSDIndicate the distance between source node and destination node, dSRIndicate the distance between source node and relay node, dRDTable
Show the distance between relay node and destination node；
Power according to the optimal power allocation Factor minute with cognition car networking cooperation communication system.
2. a kind of power distribution method for recognizing car networking cooperation communication system according to claim 1, which is characterized in that
The channel fading coefficient calculated in the cognition car networking system model of communication system between each node, obtains the first letter
Road fading coefficients, specifically include:
According to it is described cognition car networking system model of communication system in each node position, obtain between each node away from
From；
Meet Gaussian Profile based on the channel fading coefficient, according to the distance between described each node, utilizes formulaCalculate the channel fading coefficient h between source node and destination node0, utilize formula
Calculate the channel fading coefficient h between source node and relay node1, utilize formulaCalculate destination node and
Channel fading coefficient h between relay node2, obtain the first channel fading coefficient, wherein C indicates that constant related with environment, τ indicate path loss index, dSDExpression source section
The distance between point and destination node, dSRIndicate the distance between source node and relay node, dDRIndicate destination node and relaying
The distance between node.
3. a kind of power distribution method for recognizing car networking cooperation communication system according to claim 1, which is characterized in that
Channel fading coefficient in the calculus communication system model between each node and relevant host node each in main communication system,
Second channel fading coefficients are obtained, are specifically included:
According in the cognition car networking system model of communication system in the position and main communication system of source node and relay node
The position of each relevant host nodes, obtain in source node and main communication system respectively the distance of each relevant host nodes and relay node and
The distance of each relevant host nodes in main communication system；The relevant host nodes include the first host node and the second host node；
Meet Gaussian Profile based on the channel fading coefficient, according to relevant host nodes each in source node and main communication system away from
From and relay node and main communication system in a distance from each relevant host nodes, utilize formulaCalculate source node
And the first channel fading coefficient h between host nodeS1, utilize formulaCalculate source node and the second main section
Channel fading coefficient h between pointS2, utilize formulaIt calculates between relay node and the first host node
Channel fading coefficient hR1, utilize formulaCalculate the channel fading between relay node and the second host node
Coefficient hR2, obtain second channel fading coefficients；
Wherein,C indicates related with environment
Constant, τ indicate path loss index, dS1Indicate the distance between source node and the first host node, dS2Indicate source node and the
The distance between two host nodes, dR1Indicate the distance between relay node and the first host node, dR2Indicate relay node and second
The distance between host node.
4. a kind of power distribution method for recognizing car networking cooperation communication system according to claim 1, which is characterized in that
It is described according to first channel fading coefficient, calculate source node sends the corresponding signal-to-noise ratio for receiving signal of signal；It is described
The signal-to-noise ratio for receiving signal is the letter of the signal-to-noise ratio for receiving signal of relay node and the reception signal of destination node under DF agreement
Make an uproar than when, specifically include:
According to DF agreement, the relay node decodes the reception signal of relay node, obtains relay node and receives signal
Signal-to-noise ratio, and judge whether to be properly received signal, obtain judging result；The relay node receives the signal-to-noise ratio γ of signalR
For γR=α | h1|2γ, wherein α is the power allocation factor for the signal that source node is sent to relay node, h1For source node and
Channel fading coefficient between relay node, γ=P/N0, P is general power, N0Indicate the variance of all additive white Gaussian noises；
If the judging result is illustrated as, the relay node forwards the reception signal of the relay node, and calculates this
When destination node reception signal signal-to-noise ratio, obtain the first signal-to-noise ratio；The first signal-to-noise ratio γD1For γD1=(α | h0|2+β
|h2|2) γ, wherein β indicates that relay node is sent to the power allocation factor of the signal of destination node, h0Indicate source node and mesh
Node between channel fading coefficient, h2Indicate the channel fading coefficient between destination node and relay node；
If the judging result be it is no, the relay node does not forward the reception signal of the relay node, and calculates at this time
The signal-to-noise ratio of the reception signal of destination node, obtains the second signal-to-noise ratio；The second signal-to-noise ratio γD2For γD2=α | h0|2γ。
5. a kind of power distribution method for recognizing car networking cooperation communication system according to claim 1, which is characterized in that
According to first channel fading coefficient, calculate source node sends the corresponding signal-to-noise ratio for receiving signal of signal；The reception
The signal-to-noise ratio of signal is the signal-to-noise ratio of the reception signal for sending the corresponding destination node of signal of source node under AF agreement, specific to wrap
It includes:
According to AF agreement, the relay node amplifies the reception signal of relay node, obtains amplified signal, and will
Amplified signal is transmitted to the destination node；The amplified signal xRForWherein, α is
Source node is sent to the power allocation factor of the signal of relay node, h1Channel fading system between source node and relay node
Number, xSFor the transmission signal of source node, P is general power, N0Indicate the variance of all additive white Gaussian noises, nRIndicate relaying section
The variance of the additive white Gaussian noise of point；
According to the amplified signal for sending signal and the relay node and sending of the source node, connecing for destination node is calculated
The signal-to-noise ratio γ of the collection of letters numberD,Wherein, h0Indicate source node and destination node it
Between channel fading coefficient, h2Indicate that the channel fading coefficient between destination node and relay node, β indicate that relay node is sent
To the power allocation factor of the signal of destination node, γ=P/N0, P is general power, N0Indicate the side of all additive white Gaussian noises
Difference.
6. a kind of power distribution system for recognizing car networking cooperation communication system, which is characterized in that the power distribution system packet
It includes:
Cognitive system model building module, for establishing cognitive system model, the cognitive system model includes source node, purpose
Node and relay node；
First channel fading coefficient computing module, for calculating each node in the cognition car networking system model of communication system
Between channel fading coefficient, obtain the first channel fading coefficient；First channel fading coefficient includes source node and purpose
Channel fading coefficient, source node between node and the channel fading coefficient between relay node and destination node and relay node
Between channel fading coefficient；
Second channel fading coefficients computing module, it is each related main to main communication system for calculus communication system model source node
Channel fading coefficient in channel fading coefficient and relay node between node and main communication system between each relevant host nodes,
Obtain second channel fading coefficients；The second channel fading coefficients include the channel fading between source node and the first host node
Channel fading coefficient, relay node between coefficient, source node and the second host node and the channel fading between the first host node
Channel fading coefficient between coefficient and relay node and the second host node；
Signal-to-noise ratio computation module, transmission signal for according to first channel fading coefficient, calculating source node is corresponding to be connect
The signal-to-noise ratio of the collection of letters number；The signal-to-noise ratio for receiving signal is the signal-to-noise ratio and purpose of the reception signal of relay node under DF agreement
The letter of the reception signal for sending the corresponding destination node of signal of source node under the signal-to-noise ratio or AF agreement of the reception signal of node
It makes an uproar ratio；
Outage probability model building module, for establishing comprising power allocation factor according to the signal-to-noise ratio for receiving signal
Outage probability model；The outage probability model comprising power allocation factor is under DF agreement including power allocation factor
The outage probability model including power allocation factor under outage probability model or AF agreement；
According to the signal-to-noise ratio for receiving signal, the outage probability model including power allocation factor under DF agreement is established, is had
Body includes: according to the signal-to-noise ratio of the reception signal of the signal-to-noise ratio and destination node of the reception signal of relay node under DF agreement, meter
Calculate the outage probability model including power allocation factor under DF agreement are as follows:
Pout,DF=Pr (γR> g (r)) Pr (γD1< g (r))
+Pr(γR< g (r)) Pr (γD2< g (r))
=Pr (α | h1|2> g (r) γ-1)Pr(α|h0|2+β|h2|2< g (r) γ-1)
+Pr(α|h1|2< g (r) γ-1)Pr(α|h0|2< g (r) γ-1)
Wherein, g (r)=22r- 1, r indicate message transmission rate；γRThe signal-to-noise ratio of signal, γ are received for relay nodeD1It is first
Signal-to-noise ratio, γD2For the second signal-to-noise ratio, α is the power allocation factor for the signal that source node is sent to relay node, and β indicates relaying
Node is sent to the power allocation factor of the signal of destination node, h1Channel fading system between source node and relay node
Number, h0Indicate the channel fading coefficient between source node and destination node, h2Indicate the channel between destination node and relay node
Fading coefficients；γ=P/N0, P is general power, N0Indicate the variance of all additive white Gaussian noises；
According to the signal-to-noise ratio for receiving signal, the outage probability model including power allocation factor under AF agreement is established, is had
Body includes: according to the signal-to-noise ratio of the reception signal of destination node under AF agreement, and calculating under AF agreement includes power allocation factor
Outage probability model are as follows:
Initial power distribution factor obtains module, for calculating the probability value of the outage probability model comprising power allocation factor most
The value of hour corresponding power allocation factor, as initial power distribution factor；
Interfering signal power obtains module, for calculating the cognitive system model and existing according to the second channel fading coefficients
The interfering signal power that each host node in main communication system is generated in signals transmission；
Power allocation factor determining module is limited, for utilizing public affairs according to the interfering signal power and preset power threshold
FormulaWithDetermine limitation power allocation factor
α0And β0；Wherein, PcFor preset power threshold, hS1For the channel fading coefficient between source node and the first host node, hS2For
Channel fading coefficient between source node and the second host node；hR1Channel fading system between relay node and the first host node
Number；hR2For the channel fading coefficient between relay node and the second host node；
Optimal power allocation factor determining module, for according to the initial power distribution factor and the limitation power distribution because
Son determines the optimal power allocation factor；
It specifically includes:
Under DF agreement, formula is utilizedWithDetermine the optimal power allocation factorWith
Under AF agreement, formula is utilizedWithDetermine the optimal power allocation factorWith
Wherein, WithRespectively distributed in the initial power distribution factor under DF agreement and the initial power under AF agreement
The factor, dSDIndicate the distance between source node and destination node, dSRIndicate the distance between source node and relay node, dRDTable
Show the distance between relay node and destination node；
Power distribution module, for the function according to the optimal power allocation Factor minute with cognition car networking cooperation communication system
Rate.
7. a kind of power distribution system for recognizing car networking cooperation communication system according to claim 6, which is characterized in that
The first channel fading coefficient computing module, specifically includes:
First distance computational submodule, for the position according to each node in the cognition car networking system model of communication system
It sets, obtains the distance between each node；
First channel fading coefficient computational submodule, for meeting Gaussian Profile based on the channel fading coefficient, according to described
The distance between each node, utilizes formulaCalculate the channel fading coefficient between source node and destination node
h0, utilize formulaCalculate the channel fading coefficient h between source node and relay node1, utilize formulaCalculate the channel fading coefficient h between destination node and relay node2, obtain the first channel fading system
Number, whereinC indicates that constant related with environment, τ indicate road
Diameter loss index, dSDIndicate the distance between source node and destination node, dSRIndicate between source node and relay node away from
From dDRIndicate the distance between destination node and relay node.
8. a kind of power distribution system for recognizing car networking cooperation communication system according to claim 7, which is characterized in that
The second channel fading coefficients computing module, specifically includes:
Second distance computational submodule, for being saved according to source node in the cognition car networking system model of communication system and relaying
It is each related main in main communication system to obtain source node respectively for the position of each relevant host nodes in the position of point and main communication system
The distance of each relevant host nodes in the distance and relay node and main communication system of node；The relevant host nodes include first main
Node and the second host node；
Second channel fading coefficients computational submodule is saved for meeting Gaussian Profile based on the channel fading coefficient according to source
The distance of the distance of each relevant host nodes and each relevant host nodes in relay node and main communication system in point and main communication system,
Utilize formulaCalculate the channel fading coefficient h between source node and the first host nodeS1, utilize formulaCalculate the channel fading coefficient h between source node and the second host nodeS2, utilize formulaCalculate the channel fading coefficient h between relay node and the first host nodeR1, utilize formulaCalculate the channel fading coefficient h between relay node and the second host nodeR2, obtain second channel decline
Coefficient；
Wherein,C indicates related with environment
Constant, τ indicate path loss index, dS1Indicate the distance between source node and the first host node, dS2Indicate source node and the
The distance between two host nodes, dR1Indicate the distance between relay node and the first host node, dR2Indicate relay node and second
The distance between host node.
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