CN103378922B - Interference coordination method and interference coordination apparatus of wireless communication signal - Google Patents
Interference coordination method and interference coordination apparatus of wireless communication signal Download PDFInfo
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Abstract
Embodiments of the present invention disclose an interference coordination method and an interference coordination apparatus of wireless communication signals. The method comprises determining an initialized covariance matrix of emission signals by using a benign water flooding method; determining a stationary point of an attainable data rate of a communication link according to the covariance matrix and an initialized Lagrangian in a covariance restriction condition; and modifying the Lagrangian according to the stationary point, and acquiring a convergent Lagrangian and a covariance matrix corresponding to the convergent Lagrangian, the convergent Lagrangian being a power transmission coefficient. The interference coordination method and the interference coordination apparatus of wireless communication signals are suitable for adjusting transmission power of a transmitter in an MIMO (multiple-input multiple-output) scene or a scene of multiple cell combination.
Description
Technical field
The present invention relates to communication technical field, particularly to a kind of disturbance coordination method of wireless communication signals and device.
Background technology
In wireless communication technology, interference is unavoidable problem always, with the development of technology, MIMO
(Multiple-Input Multiple-Output, multiple-input and multiple-output) and multi-plot joint process etc. all has been carried out, but
This also makes the interference of antenna between user, becomes more with the interference between user each in cell and the interference between different districts
For complexity.For the mimo channel of single user, in order to reduce the interference between user, traditional method is adjusted using water flood
Each moment and each stream power, but multi-user BMAC (Broadcasting-Multi-Access Channel, extensively
Broadcast multiple access and access channel) under channel, there is limitation when using in above-mentioned water flood, occurs multiple in some specific cases
The problem of miscellaneous degree height, convergence and low precision.
For the problems referred to above, in prior art, propose a kind of good will water-filling method：Consider signal total emission power
Two aspects of minimum transmission power maximizing under minimum-rate and rate-constrained under limited, to optimize multi-user BMAC
Inter-user interference under channel.
In prior art, at least there are the following problems：When multiple base stations united process, each base station has respective
Power limitation condition, rather than general only one of which general power confined condition, good will water flood only considered solution general power
Water filling problem under confined condition, when the situation of multiple conditions restrictions, good will water flood cannot be carried out to signal interference
Optimize.
Content of the invention
Embodiments of the invention provide a kind of disturbance coordination method of wireless communication signals and device, can solve the problem that wireless
The signal interference problem of multicast communication in communication network, makes system obtain maximum under each signal launch point power-limited condition and gulps down
The amount of telling.
The embodiment of the present invention adopt technical scheme be：
A kind of disturbance coordination method of wireless communication signals, including：
Determine the covariance matrix after the initialization of transmission signal using good will water flood；
Existing up to data transfer rate of communication link is determined according to the Lagrangian after described covariance matrix and initialization
Stationary point under covariance restrictive condition；
According to described stationary point, Lagrangian is modified, obtain convergence Lagrangian and with described
The corresponding covariance matrix of Lagrangian of convergence, the Lagrangian after described convergence is power emission coefficient.
A kind of interference coordination device of wireless communication signals, including：
First water injection unit, for determining the covariance matrix after the initialization of transmission signal using good will water flood；
Stationary point determining unit, for determining communication according to the Lagrangian after described covariance matrix and initialization
The stationary point up to data transfer rate under covariance restrictive condition of link；
First convergence unit, for modifying to Lagrangian, obtains the glug of convergence according to described stationary point
Bright day operator and covariance matrix corresponding with the Lagrangian of described convergence, the Lagrangian after described convergence
For power emission coefficient.
Compared with prior art, the embodiment of the present invention is under the scene of multiple transmitter and receivers, by good will water filling
The method that method is combined with Lagrangian Arithmetic, obtains the covariance matrix of transmission signal, using meeting this covariance matrix
Transmission signal is optimized to the multicast communication having multiple restrictive conditions, adjust each link power come to meet each limit bar
Part, thus substantially improve the handling capacity of whole system.
Brief description
For the technical scheme being illustrated more clearly that in the embodiment of the present invention, below will be to embodiment or description of the prior art
In required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only the present invention some
Embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also be attached according to these
Figure obtains other accompanying drawings.
The method flow diagram that Fig. 1 provides for the embodiment of the present invention one；
The method flow diagram that Fig. 2 provides for the embodiment of the present invention two；
The apparatus structure schematic diagram that Fig. 3, Fig. 4 provide for the embodiment of the present invention three.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is all other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
Advantage for making technical solution of the present invention is clearer, with reference to the accompanying drawings and examples the present invention is made specifically
Bright.The embodiment of the present invention is applied in line communication technology, in the scene of particularly MIMO or multi-plot joint.The embodiment of the present invention
Method be that wireless communication signals are processed, to realize interference coordination.
Embodiment one
The present embodiment provides a kind of disturbance coordination method of wireless communication signals, as shown in figure 1, methods described includes：
101st, the covariance matrix after the initialization of transmission signal is determined using good will water flood.
Specifically, first covariance matrix is initialized, be then updated using good will water flood, determine new association
Variance matrix.
102nd, according to described covariance matrix and initialization after Lagrangian determine communication link up to data
Stationary point under covariance restrictive condition for the rate.
103rd, according to described stationary point, Lagrangian is modified, obtain convergence Lagrangian and with
The corresponding covariance matrix of Lagrangian of described convergence, the Lagrangian after described convergence is power emission system
Number.
Optionally, before step 101, also include：To Lagrangian μnWith transmission signal XM, lCovariance matrix
∑M, lInitialized, μnFor Lagrangian, described μnμ can be abbreviated as, for arbitrary n, meet μn＞ 0, ∑M, lFor
XM, lCovariance matrix, described ∑M, l∑ can be abbreviated as, described XM, lThe treating of m-th subchannel for l-th communication link
Signal, for arbitrary m and l, meet ∑M, l>=0, described l are the sequence number of current communications link, and described m is present communications chain
The subchannel sequence number on road, described n is transmitter sequence number.
For example, described determine that the covariance matrix after the initialization of transmission signal includes using good will water flood：To ∑M, l：L
And ΩM, lInitialized so that having ∑ to arbitrary m and lM, l>=0, ΩM, l>=0, wherein ΩM, lFor interference noise covariance；
Communication link l is entered with line link water filling, updates ∑M, l；Carry out the water filling of virtual reverse link；Repeat to carry out chain to communication link l
The step of the water filling of road water filling and virtual reverse link, until meet the condition of convergence.
For example, the described stationary point up to data transfer rate under covariance restrictive condition determining each communication link includes：
By the ∑ after updating and initialized μnSubstitute into formula (a), determine the stationary point of described formula (a)Wherein said formula (a)
ForDescribed formula (a) is by by covariance restrictive condition
Write expression formulaIn obtain, wherein M be subchannel total number,For
L-th link up to data transfer rate, δnUnit power for each transmitter；Then described bright to glug according to described stationary point
Day, operator was updated, Lagrangian and association corresponding with the Lagrangian of described convergence that acquisition restrains
Variance matrix includes；Will be describedSubstitute into formula (b), the μ after being updatedn, wherein said formula (b) isAny n is all set up, whereinFor input association
Variance,For linear restrictive condition matrix, t is adjusting step；UsingWith the μ after renewalnReplace initialized ∑M, lWith
Initialized μn, rightWith the μ after renewalnIt is updated, repeat said process, until μnConvergence.
Wherein, described any one communication link l is entered with line link water filling, update ∑M, lIncluding：To arbitrary l, calculateThis formula is carried out with SVD (Singular Value
Decomposition, singular value decomposition) decompose, obtainAnd update ∑M, l, after renewal
∑M, lFor：Any l is all set up.
Wherein, the described water filling carrying out virtual reverse link includes：To arbitrary l, calculateAnd carry out SVD decomposition, obtainAnd update∑ after renewalM, lFor：Any l is all set up.
Optionally, described to μnAnd ∑M, lBefore being initialized, also include：Calculate communication chain under multiple restrictive conditions
Road up to data transfer rate：To arbitrary m and l, ∑ >=0；AndThen have
It should be noted that in the present embodiment after initialization covariance matrix and Lagrange coefficient, first updating association side
Difference matrix, but in fact can also first update Lagrangian.Therefore, in the present invention, in the case of not making other explanations,
This two steps can be exchanged.
Compared with prior art, the embodiment of the present invention is under the scene of multiple transmitter and receivers, by good will water filling
The method that method is combined with Lagrangian Arithmetic, obtains the covariance matrix of transmission signal, using meeting this covariance matrix
Transmission signal is optimized to the multicast communication having multiple restrictive conditions, adjust each link power come to meet each limit bar
Part, thus substantially improve the handling capacity of whole system.
Embodiment two
The present embodiment provides a kind of disturbance coordination method of wireless communication signals it is assumed that there being x transmitting in BMAC system
Machine and y receiver, common L communication link, each of the links comprises many sub-channels, taking wherein l communication link as a example, such as
Shown in Fig. 2, methods described includes：
201st, obtain the receipt signal of l communication link.
Accept signal to be drawn by following formula：WhereinCommunicate for k-th
The waiting of m-th subchannel of link is signaled,For transmitter RlTo receiver TkM-th subchannel letter
Road coefficient,It is W for noise and its nonsingular covariance matrixm,l.
202nd, determine l communication link up to data transfer rate.
Inevitable in view of interference, need to introduce interference oriental matrix Φ ∈ { 0,1 }L×L, for determining certain communication chain
Circuit-switched data xm,kWhether still to other links testing data x after using interference cancellation algorithmm,lProduce interference, if still deposited
In interference, then φl,k=1, otherwise φl,k=0, the diagonal entry of wherein this matrix is all 0.Interference thus can be drawn plus make an uproar
The covariance matrix of sound is：Wherein Σm,kIt is xm,kCovariance matrix,
All of covariance matrix is combined, has Σm,k=(Σ1,1:L,Σ2,1:L...Σm,1:L), to any of which m,
There is ∑M, 1：L=(∑M, 1, ∑M, 2…∑M, L), then l communication link up to data transfer rate is：
203rd, when Φ fixes and there is multiple linear confined condition, determine the interference noise association of l article of reverse link
Variance and up to data transfer rate.
When Φ fixes and there is multiple linear confined condition it is considered to maximum and speed：
So thatMeetN=1,2 ... N, it should be noted that existing
Good will water flood in, N=1, that is, restrictive condition can only have one, cannot process during for N ＞ 1.Wherein,
ωlFor the weight coefficient of l-th link,For linear restrictive condition matrix, δn≥0.
For the ease of statement used here asRepresent handled network, channel square
Battle array is [HL, k], input covariance meets linearity conditionWlRepresent making an uproar in receiving terminal in l-th link
Sound covariance matrix, its accordingly virtual reverse link can be expressed as：This
In ∧ represent the respective amount of reverse link, corresponding coupling channel matrix is that the transposition of former channel is conjugated it can be deduced that the one l article is anti-
To the interference noise covariance of link it is：
L article of reverse link up to data transfer rate be：For the former channel under identical restrictive condition and virtual backward channel, it is up to number
It is identical according to rate.
204th, calculate multiple restrictive conditions under l communication link up to data transfer rate.
Up to data transfer rate it is：To arbitrary m and l, ∑ >=0；AndThen haveBy covariance
Restrictive conditionWrite expression formulaIn obtain formula (a),
205th, to μnAnd ∑M, lInitialized.
Wherein μnFor Lagrangian, described μnμ can be abbreviated as, for arbitrary n, meet μn＞ 0, ∑M, lFor XM, l
Covariance matrix, described ∑M, l∑ can be abbreviated as, described XM, lFor l-th communication link m-th subchannel wait transmit
Number, for arbitrary m and l, meet ∑M, l>=0, described l are the sequence number of current communications link, and described m is current communications link
Subchannel sequence number, described n is transmitter sequence number.
206th, using good will water flood, initialized ∑ is updated.
Specifically, to ∑M, l：LAnd ΩM, lInitialized so that having ∑ to arbitrary m and lM, l>=0, ΩM, l>=0, wherein
ΩM, lFor interference noise covariance；Any one communication link l is entered with line link water filling, updates ∑M, l；Carry out virtual reverse strand
The water filling on road；Repeat the step that communication link l is entered with the water filling of line link water filling and virtual reverse link, until meeting convergence
Condition.
Wherein, described any one communication link l is entered with line link water filling, update ∑M, lIncluding：To arbitrary l, calculateThe decomposition of singular value decomposition SVD is carried out to this formula, obtainsAnd update ∑M, l, ∑ after renewalM, lFor：Right
Arbitrarily l all sets up.
Wherein, the described water filling carrying out virtual reverse link includes：To arbitrary l, calculateAnd carry out SVD decomposition, obtainAnd update∑ after renewalM, lFor：Any l is all set up.
207th, by the ∑ after updating and initialized μnSubstitute into formula (a), determine the stationary point of described formula (a)Will
DescribedAs new ∑.
Wherein said formula (a) isWherein M is the total of subchannel
Number,For l-th link up to data transfer rate, δnUnit power for each transmitter.
208th, will be describedSubstitute into formula (b), to described μnIt is updated.
Wherein said formula (b) isAny n is all set up,
WhereinFor inputting covariance,For linear restrictive condition matrix, t is adjusting step.
209th, repeat to ∑ and μnIt is updated, until μnConvergence, by the μ after convergencenAs power emission coefficient.
It should be noted that in the present embodiment after initialization covariance matrix and Lagrange coefficient, first updating association side
Difference matrix, but in fact can also first update Lagrangian.Therefore, in the present invention, in the case of not making other explanations,
This two steps can be exchanged.
It should be noted that obtaining covariance matrix ∑M, lAfterwards, the definition ∑=x according to covariance matrixM, l×x* M, l
(* represents conjugate transpose here), the emphasis of the present invention was to ask for assisting it is known that the transmission signal meeting this covariance matrix is a lot
Variance matrix, so be not related to ask for the optimization of transmission signal according to covariance matrix, as long as transmission signal xM, lCovariance square
The ∑ that battle array is tried to achieve equal to the present inventionM, l?.
Compared with prior art, the embodiment of the present invention is under the scene of multiple transmitter and receivers, by good will water filling
Method is updated to covariance matrix, finds l communication link in conjunction with the covariance matrix after updating with Lagrangian
The stationary point up to data transfer rate under covariance restrictive condition, and then Lagrangian is updated, by repeatedly holding
This process of row finds Lagrangian and the corresponding covariance matrix of Lagrangian with convergence of convergence, using full
The transmission signal of the Lagrangian of this covariance matrix of foot and convergence carries out excellent to the multicast communication having multiple restrictive conditions
Change, thus substantially improve the handling capacity of whole system.
Embodiment three
The present embodiment provides a kind of interference coordination device of wireless communication signals, is applied in wireless communication system, for example
Can be base station, or access point.As shown in figure 3, described device 30 includes：
First water injection unit 31, for determining the covariance matrix after the initialization of transmission signal using good will water flood；
Stationary point determining unit 32, logical for being determined according to the Lagrangian after described covariance matrix and initialization
The stationary point up to data transfer rate under covariance restrictive condition of letter link；
First convergence unit 33, for modifying to Lagrangian according to described stationary point, obtains drawing of convergence
Ge Lang operator and covariance matrix corresponding with the Lagrangian of described convergence, the Lagrange calculation after described convergence
Son is power emission coefficient.
Further, as shown in figure 4, described device also includes：
First initialization unit 34, for Lagrangian μnWith transmission signal XM, lCovariance matrix ∑M, lEnter
Row initialization, wherein said μnμ can be abbreviated as, for arbitrary n, meet μn＞ 0, described ∑M, l∑ can be abbreviated as, described
XM, lFor l-th communication link m-th subchannel wait signal, for arbitrary m and l, meet ∑M, l>=0, described l are
The sequence number of current communications link, described m is the subchannel sequence number of current communications link, and described n is transmitter sequence number.
Further, as shown in figure 4, described first water injection unit 31 includes：
Second initialization unit 311, for ∑M, l：LAnd ΩM, lInitialized so that having ∑ to arbitrary m and lM, l
>=0, ΩM, l>=0, wherein ΩM, lFor interference noise covariance；
Second water injection unit 312, for communication link l is entered with line link water filling, updates ∑M, l；
Reversely water injection unit 313, for carrying out the water filling of virtual reverse link；
Second convergence unit 314, for repeating communication link l is entered line link water filling and the water filling of virtual reverse link
Step, until meet the condition of convergence.
Wherein, described stationary point determining unit 32 specifically for：By the ∑ after updating and initialized μnSubstitute into public
Formula (a), determines the stationary point of described formula (a)Wherein said formula (a) isDescribed formula (a) is by by covariance restrictive condition
Write expression formulaIn obtain, wherein M be subchannel total number,For
L-th link up to data transfer rate, δnUnit power for each transmitter；
Then described first convergence unit 33 specifically for：Will be describedSubstitute into formula (b), the μ after being updatedn, wherein
Described formula (b) isAny n is all set up, whereinFor inputting covariance,For linear restrictive condition matrix, t is adjusting step；UsingAfter updating
μnReplace initialized ∑M, lWith initialized μn, rightWith the μ after renewalnIt is updated, repeat said process, until μn
Convergence.
Wherein, described second water injection unit 312 specifically for：To arbitrary l, calculateThe decomposition of singular value decomposition SVD is carried out to this formula, obtainsAnd update ∑M, l, ∑ after renewalM, lFor：Right
Arbitrarily l all sets up.
Wherein, described reverse water injection unit 3213 specifically for：To arbitrary l, calculateAnd carry out SVD decomposition, obtainAnd update∑ after renewalM, lFor：Any l is all set up.
Further, as shown in figure 4, described device can also include：
Data transfer rate computing unit 35, for calculate communication link under multiple restrictive conditions up to number
According to rate：To arbitrary m and l, ∑ >=0；AndThen have
Compared with prior art, the embodiment of the present invention is under the scene of multiple transmitter and receivers, by good will water filling
The method that method is combined with Lagrangian Arithmetic, obtains the covariance matrix of transmission signal, using meeting this covariance matrix
Transmission signal is optimized to the multicast communication having multiple restrictive conditions, adjust each link power come to meet each limit bar
Part, thus substantially improve the handling capacity of whole system.
The method that the interference coordination device of wireless communication signals provided in an embodiment of the present invention can realize above-mentioned offer is real
Apply example, concrete function is realized referring to the explanation in embodiment of the method, will not be described here.Provided in an embodiment of the present invention wireless
The disturbance coordination method of signal of communication and device go for MIMO or the scene of multi-plot joint lowers sending out of whole transmitter
Penetrate power, but be not limited only to this.
One of ordinary skill in the art will appreciate that realizing all or part of flow process in above-described embodiment method, it is permissible
Instruct related hardware to complete by computer program, described program can be stored in a computer read/write memory medium
In, this program is upon execution, it may include as the flow process of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above, the only specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and any
Those familiar with the art the invention discloses technical scope in, the change or replacement that can readily occur in, all answer
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Claims (14)
1. a kind of disturbance coordination method of wireless communication signals is it is characterised in that include：
Determine the covariance matrix after the initialization of transmission signal using good will water flood；
According to described covariance matrix and initialization after Lagrangian determine communication link up to data transfer rate in association side
Stationary point under difference restrictive condition；
According to described stationary point, Lagrangian is modified, obtain convergence Lagrangian and with described convergence
The corresponding covariance matrix of Lagrangian, the Lagrangian after described convergence be power emission coefficient.
2. method according to claim 1 is it is characterised in that initial to transmission signal in described utilization good will water flood
Before covariance matrix after change is updated, also include：
To Lagrangian μnWith transmission signal Xm,lCovariance matrix Σm,lInitialized, wherein said μnFor any
N, meet μn＞ 0, described Xm,lFor l-th communication link m-th subchannel wait signal, for arbitrary m and l, full
Sufficient Σm,l>=0, described l are the sequence number of current communications link, and described m is the subchannel sequence number of current communications link, and described n is to send out
Penetrate machine sequence number.
3. method according to claim 1 is it is characterised in that described determine the initial of transmission signal using good will water flood
Covariance matrix after change includes:
To Σm,1:LAnd Ωm,lInitialized so that having Σ to arbitrary m and lm,l>=0, Ωm,l>=0, wherein Σm,lFor transmitting
The covariance matrix of signal, described ΣM, 1：L=(ΣM, 1, ΣM, 2...ΣM, L), m is the subchannel sequence number of current communications link, institute
State Σm,lFor the covariance matrix of transmission signal, Ωm,lFor interference noise covariance, described l is the sequence number of current communications link, L
Sum for communication link；
Communication link l is entered with line link water filling, updates Σm,l；
Carry out the water filling of virtual reverse link；
Repeat the step that communication link l is entered with the water filling of line link water filling and virtual reverse link, until meeting the condition of convergence.
4. the method according to claim 1 or 3 it is characterised in that each communication link of described determination up to data transfer rate
Stationary point under covariance restrictive condition includes：
Lagrangian μnμ can be abbreviated as, described transmission signal Xm,lCovariance matrix Σm,lΣ can be abbreviated as, will more
Σ after new and initialized μnSubstitute into formula (a), determine the stationary point of described formula (a)Wherein said formula (a) isWherein said m is the subchannel sequence number of current communications link, and l is current
The sequence number of communication link, M is the total number of subchannel,For l-th link up to data transfer rate, ΣM, 1：L=
(ΣM, 1, ΣM, 2...ΣM, L), described n is transmitter sequence number, n=1, and 2 ..., N, L are the sum of communication link, δnFor each
Penetrate the unit power of machine；
Then described according to described stationary point, Lagrangian is updated, obtain convergence Lagrangian and with institute
The corresponding covariance matrix of Lagrangian stating convergence includes；
Will be describedSubstitute into formula (b), the μ after being updatedn, wherein said formula (b) isAny n is all set up, whereinFor input association
Variance,For linear restrictive condition matrix, t is adjusting step；
UsingWith the μ after renewalnReplace initialized Σm,lWith initialized μn, rightWith the μ after renewalnIt is updated, repeat
Said process, until μnConvergence.
5. method according to claim 3 is it is characterised in that described enter line link water filling to any one communication link l,
Update Σm,lIncluding：
To arbitrary l, calculateSingular value decomposition SVD is carried out to this formula
Decompose, obtainAnd update Σm,l, Σ after renewalm,lFor：
Any l is all set up, wherein said Σm,lFor the covariance matrix of transmission signal, Ωm,lFor interference noise covariance, ∧ represents
The respective amount of reverse link, n is the numbering of transmitter, n=1,2 ..., N, μnFor Lagrangian,Limit for linear
Conditional matrix, k is link sequence number, and l is the sequence number of current communications link, and L is the sum of communication link, φk,lFor interference instruction square
The array element of battle array, Hm,k,lFor transmitter RkTo receiver TlM-th subchannel channel coefficients, ωlWeighting for l-th link
Coefficient.
6. method according to claim 3 is it is characterised in that the described water filling carrying out virtual reverse link includes：
To arbitrary l, calculateAnd carry out SVD decomposition, obtainAnd updateΣ after renewalm,lFor：Right
Arbitrarily l all sets up, wherein said Ωm,lFor interference noise covariance, Wm,lFor the nonsingular covariance matrix of noise, k is link sequence
Number, l is the sequence number of current communications link, and L is the sum of communication link, φl,kFor disturbing the array element of oriental matrix, Hm,l,kFor sending out
Penetrate machine RlTo receiver TkM-th subchannel channel coefficients, Σm,lFor the covariance matrix of transmission signal, ∧ represents reverse
The respective amount of link, ωlWeight coefficient for l-th link.
7. method according to claim 2 is it is characterised in that described to Lagrangian μnWith transmission signal Xm,l's
Covariance matrix Σm,lBefore being initialized, also include：
Calculate communication link under multiple restrictive conditions up to data transfer rate：
To arbitrary m and l, Σ >=0；And
Then haveWherein
Lagrangian μnμ, transmission signal X can be abbreviated asm,lCovariance matrix Σm,lΣ can be abbreviated as, m is present communications
The subchannel sequence number of link, l is the sequence number of current communications link, and M is the total number of subchannel,For l-th chain
Road up to data transfer rate, wherein L is the sum of communication link, ΣM, 1：L=(ΣM, 1, ΣM, 2...ΣM, L), LM, l(Σ, Φ) is the
L bar m-th subchannel of link up to data transfer rate, Φ ∈ { 0,1 }L×LFor disturbing oriental matrix, n is the sequence number of transmitter, n=
1,2 ..., N, δnFor the unit power of each transmitter, ωlFor the weight coefficient of l-th link,For input
Covariance,For covariance restrictive condition.
8. a kind of interference coordination device of wireless communication signals is it is characterised in that include：
First water injection unit, for determining the covariance matrix after the initialization of transmission signal using good will water flood；
Stationary point determining unit, for determining communication link according to the Lagrangian after described covariance matrix and initialization
The stationary point up to data transfer rate under covariance restrictive condition；
First convergence unit, for modifying to Lagrangian, obtains the Lagrange of convergence according to described stationary point
Operator and covariance matrix corresponding with the Lagrangian of described convergence, the Lagrangian after described convergence is work(
Rate emission ratio.
9. device according to claim 8 is it is characterised in that also include：
First initialization unit, for Lagrangian μnWith transmission signal Xm,lCovariance matrix Σm,lCarry out initial
Change, wherein said μnFor arbitrary n, meet μn＞ 0, described Xm,lFor l-th communication link m-th subchannel wait transmit
Number, for arbitrary m and l, meet Σm,l>=0, described l are the sequence number of current communications link, and described m is current communications link
Subchannel sequence number, described n is transmitter sequence number.
10. device according to claim 8 is it is characterised in that described first water injection unit includes：
Second initialization unit, for Σm,1:LAnd Ωm,lInitialized so that having Σ to arbitrary m and lm,l>=0, Ωm,l
>=0, wherein Σm,lFor the covariance matrix of transmission signal, described ΣM, 1：L=(ΣM, 1, ΣM, 2…ΣM, L), m is present communications chain
The subchannel sequence number on road, Ωm,lFor interference noise covariance, described l is the sequence number of current communications link, and L is the total of communication link
Number；
Second water injection unit, for communication link l is entered with line link water filling, updates Σm,l；
Reversely water injection unit, for carrying out the water filling of virtual reverse link；
Second convergence unit, the step for repeating the water filling that communication link l is entered with line link water filling and virtual reverse link,
Until meeting the condition of convergence.
Device described in 11. according to Claim 8 or 10 it is characterised in that described stationary point determining unit specifically for：
Lagrangian μnμ can be abbreviated as, described transmission signal Xm,lCovariance matrix Σm,lΣ can be abbreviated as, will more
Σ after new and initialized μnSubstitute into formula (a), determine the stationary point of described formula (a)Wherein said formula (a) isWherein said m is the subchannel sequence number of current communications link, and l is current
The sequence number of communication link, M is the total number of subchannel,For l-th link up to data transfer rate, ΣM, 1：L=
(ΣM, 1, ΣM, 2...ΣM, L), described n is transmitter sequence number, n=1, and 2 ..., N, L are the sum of communication link, δnFor each
Penetrate the unit power of machine；
Then described first convergence unit specifically for：Will be describedSubstitute into formula (b), the μ after being updatedn, wherein said formula
B () isAny n is all set up, whereinFor defeated
Enter covariance,For linear restrictive condition matrix, t is adjusting step；
UsingWith the μ after renewalnReplace initialized Σm,lWith initialized μn, rightWith the μ after renewalnIt is updated, repeat
Said process, until μnConvergence.
12. devices according to claim 10 it is characterised in that described second water injection unit specifically for：
To arbitrary l, calculateSingular value is carried out to this formula
Decompose SVD to decompose, obtainAnd update Σm,l, Σ after renewalm,lFor：Any l is all set up, wherein said Σm,lFor the covariance matrix of transmission signal,
Ωm,lFor interference noise covariance, ∧ represents the respective amount of reverse link, and n is the numbering of transmitter, n=1,2 ..., N, μnFor
Lagrangian,For linear restrictive condition matrix, k is link sequence number, and l is the sequence number of current communications link, and L is logical
The sum of letter link, φk,lFor disturbing the array element of oriental matrix, Hm,k,lFor transmitter RkTo receiver TlM-th subchannel
Channel coefficients, ωlWeight coefficient for l-th link.
13. devices according to claim 10 it is characterised in that described reverse water injection unit specifically for：
To arbitrary l, calculateAnd carry out SVD decomposition, obtainAnd updateΣ after renewalm,lFor：Right
Arbitrarily l all sets up, wherein said Ωm,lFor interference noise covariance, Wm,lFor the nonsingular covariance matrix of noise, k is link sequence
Number, l is the sequence number of current communications link, and L is the sum of communication link, φl,kFor disturbing the array element of oriental matrix, Hm,l,kFor sending out
Penetrate machine RlTo receiver TkM-th subchannel channel coefficients, Σm,lFor the covariance matrix of transmission signal, ∧ represents reverse
The respective amount of link, ωlWeight coefficient for l-th link.
14. devices according to claim 8 are it is characterised in that described device also includes：
Data transfer rate computing unit, for calculate communication link under multiple restrictive conditions up to data transfer rate：
To arbitrary m and l, Σ >=0；And
Then haveWherein
Lagrangian μnμ, transmission signal X can be abbreviated asm,lCovariance matrix Σm,lΣ can be abbreviated as, m is present communications
The subchannel sequence number of link, l is the sequence number of current communications link, and M is the total number of subchannel,For l-th chain
Road up to data transfer rate, wherein L is the sum of communication link, ΣM, 1：L=
(ΣM, 1, ΣM, 2...ΣM, L), LM, l(Σ, Φ) is m-th subchannel of the l article link up to data transfer rate, Φ ∈ { 0,1
}L×LFor disturbing oriental matrix, n is the sequence number of transmitter, n=1,2 ..., N, δnFor the unit power of each transmitter, ωlFor
The weight coefficient of l-th link,For inputting covariance,For covariance restrictive condition.
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