CN110518995A - The federated resource distribution method once auctioned based on Shapley value - Google Patents
The federated resource distribution method once auctioned based on Shapley value Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/14—Direct-mode setup
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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 present invention provides a kind of federated resource distribution method once auctioned based on Shapley value, comprising steps of S1: establishing communication system；S2: the Signal to Interference plus Noise Ratio at different user end in same channel is calculated；S3: it establishes user coalitions model: S4: the power of user terminal is initialized；S5: the value of utility after calculating the one target user end of value of utility and removal of whole user terminals of user coalitions model；S6: Shapley value of each user terminal under different channels is calculated；S7: each user terminal is calculated to the bidding strategy of different channels according to Shapley value；S8: user terminal is distributed under highest channel of bidding using bid matrix；S9: the power of user terminal is optimized.A kind of federated resource distribution method once auctioned based on Shapley value of the invention, can effectively solve the problems, such as that interaction complexity is high between base station and user, improve fairness and safety in channel allocation.
Description
Technical field
The present invention relates to federated resources in D2D communication system to distribute field, more particularly to a kind of primary based on Shapley value
The federated resource distribution method of auction.
Background technique
The D2D communication technology is becoming the key technology for improving future network capacity.As D2D user's use and phone user
When using identical channel, will cause some need be solved the problems, such as: effective distribution of phone user's channel resource；Channel multiplexing
The interference between user is eliminated afterwards；The high complexity that base station is interacted with user-to-user information is effectively reduced.The solution of problem above needs
Want combined channel distribution and power control.Existing solution generally passes through complicated mathematical processing methods, such as decomposes non-
Convexity resource allocation problem is iterated solution, violates the law to obtain suboptimum power distribution strategies by Lagrange duality, use
Dinkelbach and branch and bound method solve the methods of global optimum, and the federated resource assignment problem of high complexity is optimized,
Find suboptimal solution.But there is no solve for these schemes: resource allocation fairness, high computation complexity and base station and user
Between interactive information high complexity issue.
Summary of the invention
In view of the deficiency of the prior art, the present invention provides a kind of joint money once auctioned based on Shapley value
Source distribution method can effectively solve the problems, such as that interaction complexity is high between base station and user, and improve in channel allocation
Fairness and safety.
To achieve the goals above, the present invention provides a kind of federated resource distribution side once auctioned based on Shapley value
Method, comprising steps of
S1: establishing a communication system, and the communication system includes the base station for being respectively arranged with omnidirectional antenna and multiple use
Family end, the user terminal include multiple phone user ends and multiple D2D user terminals, pass through the base between the phone user end
It stands communication connection, is communicated to connect two-by-two between the D2D user terminal；It is between the phone user end and the base station and described
Channel is formed between D2D user terminal；
S2: the Signal to Interference plus Noise Ratio of the different user terminals in the same channel is calculated；
S3: a user coalitions model is established:
S4: the power of the user terminal is initialized；
S5: calculating the value of utility of whole user terminals of the user coalitions model and removes the value of utility at a target user end；
S6: Shapley value of each user terminal under different channels is calculated；
S7: each user terminal is calculated to the bidding strategy of different channels according to the Shapley value, and forms a bid matrix；
S8: the user terminal is distributed under a highest channel of bidding using the bid matrix, described in update
User coalitions model；
S9: the power of the user terminal is optimized.
Preferably, the letter for calculating the different user terminals in the same channel by formula (1) in the S2 step is dry
It makes an uproar ratio:
Wherein, γkIndicate the Signal to Interference plus Noise Ratio at phone user end, pkIndicate the transmission power at phone user end, gkeIndicate bee
User's gain of channel between nest user terminal and base station, H indicate the pairs of quantity of D2D user terminal, pd、pd′It is different to respectively indicate two
The transmission power of D2D user terminal；gdeIndicate user's gain of channel between D2D user terminal and base station；σ2Indicate that the heat of receiving end is made an uproar
Acoustical power；γdIndicate the Signal to Interference plus Noise Ratio of D2D user terminal, gddIndicate user's gain of channel between D2D user terminal, gkdIndicate bee
User's gain of channel between nest user terminal and D2D user terminal；gd′dUser's gain of channel between two difference D2D user terminals of expression.
Preferably, it in the S3 step, further comprises the steps of:
Define the game of the user coalitions model:
Wherein,Indicating game, I indicates the set of the user terminal,Indicate the policy space of terminal；
Indicate effectiveness formula；pjIndicate the transmission power of user j, p-jIndicate the set of remaining users transmission power other than user j；
γjIncluding γkOr γd；R is transmission rate；The bit number of M expression transmission frame；ljIndicate service time of battery；cj
(pj, p-j) indicate cost function；
Wherein, C indicates battery capacity, pjIt is the transmission power of jth user terminal, p0It is circuit consumption power, V0It is work
Voltage, a expression parameter；
cj(pj, p-j)=cpj(5)；
Wherein, c indicates the price of jth user terminal.
Preferably, the power of the user terminal is initialized using the solution of a formula (6) in the S4 step:
Wherein, S indicates the user coalitions model, S=[S1..., Si... SK], K indicates orthogonal channel in the channel
Number, SKIndicate the set at phone user end described in K orthogonal channel and the D2D user terminal；
The lower bound of formula (6) disaggregation is calculated by the formula (7) of non-decreasing differentiability condition and is obtained:
Preferably, the effectiveness of whole user terminals of the user coalitions model is calculated in the S5 step according to formula (8)
Value v (S(i)) and remove jth user terminal after value of utility v (S(i))-v(S(i)/{j})；
Wherein, S(i)Indicate a set in user coalitions model；I ∈ K,j∈H；Wherein, N indicates to use
The set number for including in the alliance model of family, H indicate the pairs of quantity of the D2D user terminal.
Preferably, Shapley value of each user terminal under different channels is calculated according to a formula (9) in the S6 step
Wherein, j=1,2 ..., H.
Preferably, in the S7 step, each user terminal pair is calculated according to the Shapley value and using a formula (10)
The bidding strategy of different channelsAnd form the bid matrix
Preferably, in the S8 step, the user terminal is distributed in the highest institute that bids using a formula (11)
It states under channel；
Wherein, i=1,2 ... K, j=1,2 ... H；j*Indicate user terminal.
Preferably, in the S9 step, the power of presently described user terminal is optimized using formula (6).
The present invention due to use above technical scheme, make it have it is following the utility model has the advantages that
Method of the invention is disposably submitted Any and All Bid, is solved present in channel distribution by establishing utility function
The high problem of interaction complexity；And there is the property of resource allocation fairness using Shapley value, to solve for channel distribution
Inequitable problem.The fairness and peace of bid are improved according to the bid of the value calculation user of channel using relative bid method
Quan Xing avoids illegitimate competition.
Detailed description of the invention
Fig. 1 is the flow chart for the federated resource distribution method of the embodiment of the present invention once auctioned based on Shapley value；
Fig. 2 is the structural schematic diagram of the communication system of the embodiment of the present invention；
Fig. 3 is the total utility value of the equal-wattage strategy of the embodiment of the present invention with D2D logarithm change curve schematic diagram；
Fig. 4 is that the complete algorithm of the embodiment of the present invention compares total utility value with D2D logarithm change curve schematic diagram；
Fig. 5 is the general power of the embodiment of the present invention with the change curve schematic diagram of D2D logarithm；
Fig. 6 is that the terminal of the embodiment of the present invention uses the time with D2D logarithm change curve schematic diagram；
Fig. 7 is the Signal to Interference plus Noise Ratio of the embodiment of the present invention with the change curve schematic diagram of D2D logarithm.
Specific embodiment
Below according to attached FIG. 1 to FIG. 7, presently preferred embodiments of the present invention is provided, and is described in detail, is enabled more preferable geographical
Solve function of the invention, feature.
Please refer to Fig. 1 and Fig. 2, a kind of federated resource distribution once auctioned based on Shapley value of the embodiment of the present invention
Method, comprising steps of
S1: establishing a communication system, and communication system includes the base station 1 for being respectively arranged with omnidirectional antenna and multiple users
End, user terminal include multiple phone user ends 2 and multiple D2D user terminals 3, pass through 1 communication link of base station between phone user end 2
It connects, is communicated to connect two-by-two between D2D user terminal 3；Channel is formed between phone user end 2 and base station 1 and between D2D user terminal 3.
Base station 1 is set to the center of housing estate with multi-user.Cell includes multiple phone user ends 2 and multiple D2D users
Hold the pairs of direct communication of 3, D2D user terminal 3 and close enough.Wherein, the quantity at phone user end 2 is K, the number of D2D user terminal 3
Amount is H.As cell has K orthogonal channel, and each phone user end 2 occupies an orthogonal channel, and D2D user terminal 3 can be with
2 channel resource of phone user end is reused, and multiple D2D user terminals 3 to can share identical channel simultaneously.
In the scene that uplink resource is shared, phone user end 2 transmits data to base station, and base station is come from
The interference of D2D user terminal 3.In the communications, receiver is by from D2D user terminal 3 and other D2D user terminals for D2D user terminal 3
The interference of 3 transmitters.Orthogonal channel is used between the user coalitions that each D2D user terminal 3 forms, and does not consider disturbed condition.
S2: the Signal to Interference plus Noise Ratio at different user end in same channel is calculated.
The Signal to Interference plus Noise Ratio at different user end in same channel is calculated in S2 step by formula (1):
Wherein, γkIndicate the Signal to Interference plus Noise Ratio at phone user end 2, pkIndicate the transmission power at phone user end 2, gkeIt indicates
User's gain of channel between phone user end 2 and base station 1, H indicate the pairs of quantity of D2D user terminal 3, pd、pd′Respectively indicate two
The transmission power of different D2D user terminals 3；gdeIndicate user's gain of channel between D2D user terminal 3 and base station 1；σ2It indicates to receive
The thermal noise power at end；γdIndicate the Signal to Interference plus Noise Ratio of D2D user terminal 3, gddIndicate that the user of channel between D2D user terminal 3 increases
Benefit, gkdIndicate user's gain of channel between phone user end 2 and D2D user terminal 3；gd′dBetween two difference D2D user terminals 3 of expression
User's gain of channel.
S3: a user coalitions model is established:
In S3 step, further comprise the steps of:
Define the game of user coalitions model:
Wherein,Indicating game, I indicates the set of user terminal,Indicate the policy space of terminal；Table
Show effectiveness formula；pjIndicate the transmission power of user j, p-jIndicate the set of remaining users transmission power other than user j；
γjIncluding γkOr γd；R is transmission rate；The bit number of M expression transmission frame；ljIndicate service time of battery；cj
(pj, p-j) indicate cost function；
Wherein, C indicates battery capacity, pjIt is the transmission power of jth user terminal, p0It is circuit consumption power, V0It is work
Voltage, a expression parameter；
cj(pj, p-j)=cpj(5)；
Wherein, c indicates the price of jth user terminal.
S4: the power of user terminal is initialized.
The power of user terminal is initialized using the solution of a formula (6) in S4 step:
Wherein, S indicates user coalitions model, S=[S1..., Si... SK], K indicates the number of orthogonal channel in channel, SK
Indicate the set at phone user end 2 and D2D user terminal 3 in K orthogonal channel；
The lower bound of formula (6) disaggregation is calculated by the formula (7) of non-decreasing differentiability condition and is obtained:
In the present embodiment, all D2D user terminals 3 for participating in auction can be indicated with j, j ∈ H, calculate value of utility and submission pair
The bid of each channel i, the bid are the assessment that user is worth channel.It is asked to solve interaction complexity and fairness in distribution
Topic, using calculating bid based on the method for opposite Shapley value.Auctioner selects the highest (i that bids*, j*), then by bee
Nest user i*The channel distribution occupied gives bidder j*, j*User coalitions S is addedi*In；
S5: the value of utility v (S of whole user terminals of user coalitions model is calculated according to formula (8)(i)) and removing jth user
Value of utility v (S behind end(i))-v(S(i)/{j})；
Wherein, S(i)Indicate a set in user coalitions model；I ∈ K,j∈H；Wherein, N indicates to use
The set number for including in the alliance model of family, H indicate the pairs of quantity of D2D user terminal 3.
Can be used for indicating in formula (8) disposably auctioning optimization problem, alliance S includes | N |=2HA combination, S(i)It is | N |
One in a combination alliance, N indicates the set of all possible alliances of user terminal composition.
S6: Shapley value of each user terminal under different channels is calculated according to a formula (9)
Wherein, j=1,2 ..., H.
Wherein, v (S(i))-v(S(i)/ { j }) indicate jth user terminal to alliance S in the i-th channel(i)Contributrion margin；| S | table
Show user's number in alliance, M indicates maximum user's number, M=H+1 in an alliance.
S7: each user terminal is calculated to the bidding strategy of different channels according to Shapley value and using a formula (10)And form bid matrix
In the present embodiment, in order to ensure user bid fairness and bid data safety, avoid information leakage and
Wrongful competition；The present invention is further improved bidding strategy, uses
Indicate all D2D user terminals 3 to the bid vector of channel i, in which:
S8: user terminal is distributed under a highest channel of bidding using a formula (11), updates user coalitions model；
Wherein, i=1,2 ... K, j=1,2 ... H；j*Indicate user terminal.
S9: the power at active user end is optimized using formula (6).
By gameIt is modeled as equilibria of Supermodular Games, passes through equilibria of Supermodular Games theoretical researchIn receive it is assorted
Existence of equilibrium problem simultaneously obtains its analytic solutions pcbest.Power control is carried out to user using the solution, interference is reduced, promotes user
The total utility value of alliance, the solution are expressed as:
Wherein, the minimum power p of strategy set_j, by non-decreasing differentiability conditionIt is calculated.
For example, it is contemplated that single circular cell, phone user end 2 and D2D user terminal 3 to it is uniformly distributed wherein, due to imitative
True condition limits, and sets K=2 for 2, phone user end number in simulation process, only considers that D2D user terminal 3 divides in two channels
With problem.System operates in uplink periods, it is assumed that all channels, gain follow simple path loss modelWherein A=0.097 is a constant, dijIndicate the distance between different terminals.Other parameters are shown in Table 1, foundation
The method of above-described embodiment then has:
1 parameter list of table
(1) traffic model is established as shown in Figure 1, the quantity of phone user end 2 and D2D user terminal 3 is K and H respectively.Honeycomb
There is K orthogonal channel in cell, and each phone user end 2 occupies an orthogonal channel.D2D user terminal 3 can reuse bee
The channel resource that nest user terminal 2 occupies, and multiple D2D user terminals 3 to can share identical channel simultaneously.
(2) phone user end 2 transmits data to base station 1 in the scene that uplink resource is shared, and base station 1 by
Interference from 3 transmitter of D2D user terminal.D2D user terminal 3 is in the communications, and receiver is by from 2 He of phone user end
The interference of other 3 transmitters of D2D user terminal.Orthogonal channel is used between the user coalitions that each phone user end 2 forms, and is not examined
Consider disturbed condition.Therefore the Signal to Interference plus Noise Ratio of different user is respectively as follows: in the same channel
Wherein p represents transmission power, and subscript k, d, d ' respectively indicate phone user end 2 and different D2D user terminals 3.gij
Indicate that the channel gain between different user, subscript i, j indicate user terminal to the letter between base station 1 or customer edge-to-customer edge
Road.σ2Indicate the thermal noise power of receiving end.
(3) user coalitions are defined as game by the utility function for constructing resource allocation Its
Middle I represents the set of user in game, shown in designed utility function such as formula (12):
The utility function can be realized terminal and use the maximization of handling capacity in the time.Wherein:
uj(pj, p-j)=Rf (γj)lj；Rf (γ in formulaj)ljIndicating handling capacity, R is transmission rate, For the probability for accurately receiving data frame, M is the bit number of transmission frame, γjFor phone user end or D2D user
The Signal to Interference plus Noise Ratio at end.For service time of battery, middle C is battery capacity, pjIt is the transmitting function of terminal user j
Rate, p0It is circuit consumption power, V0It is operating voltage, a is constant of the value near 1.3.cj(pj, p-j) it is cost function, it uses
The linear function of power calculates i.e. cj(pj, p-j)=cpj, optimal price cbest is obtained using iterative algorithm, thus most
The total utility value of bigization user.
(4) channel distribution is carried out, the combination that phone user end 2 under the same channel and D2D user terminal 3 are formed is defined as
Alliance S.Then K phone user end 2 occupies K orthogonal channel, forms K user coalitions i.e.: [S1..., Si... SK].All ginsengs
It is expressed as j, j ∈ H with the D2D user terminal 3 of auction, calculate value of utility and submits the bid to each channel i, which is user
Assessment to channel value.In order to solve the problems, such as interaction complexity and fairness in distribution, the side based on opposite Shapley value is used
Method is bid to calculate.Auctioner selects the highest (i that bids*, j*), then by phone user i*The channel distribution occupied is to auction
Person j*, j*S in user coalitions is addedi*。
(5) v (S) is the utility function of alliance, and disposable optimization problem of auctioning indicates are as follows:
In formula, alliance S includes | N |=2HA combination, S(i)It is | N | one in a combination alliance, N indicates user's composition
All possible alliances set.It enablesIndicate all D2D user terminals 3 in channel i
Shapley value vector.The Shapley value of user j in channel iIt calculates as follows:
Wherein, j=1,2 ..., H.
v(S(i))-v(S(i)/ { j }) indicate user terminal j to alliance S in channel i(i)Contributrion margin, | S | indicate alliance in
User terminal number, M indicate maximum user's number, M=H+1 in an alliance；
(6) in order to ensure the fairness of user's bid and the safety of bid data, information leakage and wrongful is avoided
Competition is further improved bidding strategy, usesIndicate all D2D users
Hold the bid vector of 3 couples of channel i, in which:
After all users submit bid, bid matrix is obtainedBase station is according to formula
(11) channel is distributed for user；
Wherein, i=1,2 ... K, j=1,2 ... H；j*Indicate user terminal.
(7) power control, by gameIt is modeled as equilibria of Supermodular Games, passes through equilibria of Supermodular Games theory
ResearchMiddle Nash Equilibrium Existence problems simultaneously obtain its analytic solutions pcbest.Power control is carried out to user using the solution, is reduced
Interference, promotes the total utility value of user coalitions, which is expressed as:
Wherein, the minimum power p of strategy set-j, by non-decreasing differentiability conditionIt is calculated.
(8) basic ideas of this method are: assuming that all alliances combine etc. and to be likely to occur, using Shapley valueTo indicate that D2D user terminal 3 is represented by j to the average contributrion margin of all alliances in channel i.User j's
Shapley value accurately reflects the bargaining power of the user and to i-th of channel bring contributrion margin.Then,
Bid vector is calculated according to Shapley valueForm bid matrix.Finally, using disposable auction mechanism, from bid matrix
In select bid highest (i*, j*), by channel i*Distribute to user j*.The mechanism can be minimized more between user and base station
The requirement of secondary interaction, each user once submit the bid of all channels.Detailed process is as follows for method:
Step 1: initialization, according to the solution of formula (6)Initialization is used
Family power；
Step 2: the value of utility v (S of all alliances is calculated according to formula (8)(i)), i ∈ K,And it is removed in alliance
Value of utility v (S after j-th of user(i)/ { j }), j ∈ H；
Step 3: calculating Shapley value of each user under different channels according to formula (9)I ∈ K, j ∈ H.
Step 4: each user is calculated to the bidding strategy of different channels according to the Shapley value of step 3i∈
K, j ∈ H, composition bid vector
Step 5: according to bid matrixUsing formula (11), user is distributed at it
It bids under highest channel, the new alliance of composition.
Step 6: in the new alliance of composition, reusing the solution of formula (6) Optimize user power, method terminates.
A kind of federated resource distribution method once auctioned based on Shapley value of the embodiment of the present invention is communicated for D2D
Synchronous interaction complexity is high between base station and user present in system combined resource allocation, channel distribution is unfair and user
Between serious interference the problems such as.Using the total utility value for maximizing alliance user as target, propose a kind of based on Shapley value one
The federated resource distribution method of secondary auction (Shapley One-shotAuction, SA).Wherein each D2D user is based on
Shapley value disposably submits the bid of all channels, and user distributes under the relatively high channel of its bid value.It is based on
The effectiveness of shapley value is estimated, it can be estimated that user is and then maximum to contribution by channel distribution to the average contributrion margin of channel
User, and promoted user coalitions total utility value, to greatest extent using channel resource and reduce inter-user interference.In order into
One-step optimization power distribution in the user coalitions composed by each channel, carries out power control using the Pareto solution that is dominant, into
The reduction of one step is interfered.This method, which has, to be reduced interaction complexity, reduces total transmission power, mitigates inter-user interference, may be used also
To promote user coalitions total utility value, extend the advantages of terminal is using the time.
That is, the method for the embodiment of the present invention disposably submits Any and All Bid by using disposable auction mechanism, solve
The high problem of interaction complexity present in channel distribution.There is the property of resource allocation fairness using Shapley value, to solve
Certainly it is directed to the inequitable problem of channel distribution.It is improved out using relative bid method according to the bid of the value calculation user of channel
The fairness and safety of valence, avoid illegitimate competition.
Meanwhile Fig. 3~Fig. 7 is please referred to by the simulated effect curve that emulation obtains；
Wherein, SA indicates the federated resource allocation algorithm once auctioned based on Shapley value in Fig. 3~Fig. 5；CA indicates base
In the combined resource auction algorithm of Nash Equilibrium Solution；
In Fig. 6 and Fig. 7, k indicates that phone user, d indicate D2D user；SA, k and CA, k are respectively indicated using algorithms of different
Phone user；SA, d and CA, d respectively indicate the D2D user using algorithms of different.
By the simulated effect figure of Fig. 3~Fig. 7 as it can be seen that one kind of the embodiment of the present invention is once auctioned based on Shapley value
Federated resource distribution method, possess more in terms of system total utility value, terminal use time, time complexity and transmission power
Good performance.
The present invention has been described in detail with reference to the accompanying drawings, those skilled in the art can be according to upper
It states and bright many variations example is made to the present invention.Thus, certain details in embodiment should not constitute limitation of the invention, this
Invention will be using the range that the appended claims define as protection scope of the present invention.
Claims (9)
1. a kind of federated resource distribution method once auctioned based on Shapley value, comprising steps of
S1: establishing a communication system, and the communication system includes being respectively arranged with a base station and a plurality of clients of omnidirectional antenna,
The user terminal includes multiple phone user ends and multiple D2D user terminals, is led between the phone user end by the base station
Letter connects, and communicates to connect two-by-two between the D2D user terminal；Between the phone user end and the base station and the D2D
Channel is formed between user terminal；
S2: the Signal to Interference plus Noise Ratio of the different user terminals in the same channel is calculated；
S3: a user coalitions model is established:
S4: the power of the user terminal is initialized；
S5: the effectiveness after calculating the one target user end of value of utility and removal of whole user terminals of the user coalitions model
Value；
S6: Shapley value of each user terminal under different channels is calculated；
S7: each user terminal is calculated to the bidding strategy of different channels according to the Shapley value, and forms a bid matrix；
S8: the user terminal is distributed under a highest channel of bidding using the bid matrix, updates the user
Alliance model；
S9: the power of the user terminal is optimized.
2. the federated resource distribution method according to claim 1 once auctioned based on Shapley value, which is characterized in that
The Signal to Interference plus Noise Ratio of the different user terminals in the same channel is calculated in the S2 step by formula (1):
Wherein, γkIndicate the Signal to Interference plus Noise Ratio at phone user end, pkIndicate the transmission power at phone user end, gkeIndicate phone user
User's gain of channel between end and base station, H indicate the pairs of quantity of D2D user terminal, pd、pa′Two different D2D are respectively indicated to use
The transmission power at family end；gdeIndicate user's gain of channel between D2D user terminal and base station；σ2Indicate the thermal noise function of receiving end
Rate；γdIndicate the Signal to Interference plus Noise Ratio of D2D user terminal, gddIndicate user's gain of channel between D2D user terminal, gkdIndicate that honeycomb is used
User's gain of channel between family end and D2D user terminal；gd′dUser's gain of channel between two difference D2D user terminals of expression.
3. the federated resource distribution method according to claim 2 once auctioned based on Shapley value, which is characterized in that
In the S3 step, further comprise the steps of:
Define the game of the user coalitions model:
Wherein,Indicating game, I indicates the set of the user terminal,Indicate the policy space of terminal；Table
Show effectiveness formula；pjIndicate the transmission power of user j, p-jIndicate the set of remaining users transmission power other than user j；
γjIncluding γkOr γd；R is transmission rate；The bit number of M expression transmission frame；ljIndicate service time of battery；cj(pj,
p-j) indicate cost function；
Wherein, C indicates battery capacity, pjIt is the transmission power of jth user terminal, p0It is circuit consumption power, V0It is work electricity
Pressure, a expression parameter；
cj(pj, p-j)=cpj(5)；
Wherein, c indicates the price of jth user terminal.
4. the federated resource distribution method according to claim 3 once auctioned based on Shapley value, which is characterized in that
The power of the user terminal is initialized using the solution of a formula (6) in the S4 step:
Wherein, S indicates the user coalitions model, S=[S1..., Si... SK], K indicates of orthogonal channel in the channel
Number, SKIndicate the set at phone user end described in K orthogonal channel and the D2D user terminal；
The lower bound of formula (6) disaggregation is calculated by the formula (7) of non-decreasing differentiability condition and is obtained:
5. the federated resource distribution method according to claim 4 once auctioned based on Shapley value, which is characterized in that
Value of utility v (the S of whole user terminals of the user coalitions model is calculated in the S5 step according to formula (8)(i)) and removal the
Value of utility v (S after j user terminal(i))-v(S(i)/{j})；
Wherein, S(i)Indicate a set in user coalitions model；I ∈ K,j∈H；Wherein, N indicates user's connection
The set number for including in alliance's model, H indicate the pairs of quantity of the D2D user terminal.
6. the federated resource distribution method according to claim 5 once auctioned based on Shapley value, which is characterized in that
Shapley value of each user terminal under different channels is calculated according to a formula (9) in the S6 step
Wherein, j=1,2 ..., H.
7. the federated resource distribution method according to claim 6 once auctioned based on Shapley value, which is characterized in that
In the S7 step, bid of each user terminal to different channels is calculated according to the Shapley value and using a formula (10)
StrategyAnd form the bid matrix
8. the federated resource distribution method according to claim 7 once auctioned based on Shapley value, which is characterized in that
In the S8 step, the user terminal is distributed under a highest channel of bidding using a formula (11)；
Wherein, i=1,2 ... K, j=1,2 ... H；j*Indicate user terminal.
9. the federated resource distribution method according to claim 8 once auctioned based on Shapley value, which is characterized in that
In the S9 step, the power of presently described user terminal is optimized using formula (6).
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