CN109905917A - Based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy - Google Patents
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Abstract
The invention discloses propose to include the following steps: 1) to calculate separately user uplink pilot frequency sequence length, regularization parameter, power division coefficient and power partition coefficient using iterative method based on " system spectral efficiency maximization " principle based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy；2) the system spectral efficiency absolute value of the difference after current and preceding an iteration is calculated, and judges whether the value is less than or equal to restrain decision threshold；If so, stopping calculating, iteration result at this time is required optimal value, otherwise continues iteration；3) user realizes the optimum allocation of system wireless resource using optimal uplink pilot sequence length, optimal regularization parameter, optimal power allocation coefficient and optimal power division coefficient.This method has the advantages that each user can be made using the information decoding at optimal power division coefficient coordination reception end and collection of energy.
Description
Technical field
The present invention relates to wireless communication technology fields, more particularly to based on wirelessly take can NOMA communication system in wirelessly provide
Source distribution method.
Background technique
With the fast development of the 5th third-generation mobile communication technology, it is impossible to meet futures for traditional orthogonal multiple access techniques
The connection of 5G network mass users, therefore non-orthogonal multiple (Non-orthogonal Multiple Access, NOMA) technology
The main reason for coming into being, using NOMA technology is that it can provide clothes in same time slot and frequency resource for multiple users
Business, it is again effective while support can largely connect user to save frequency spectrum resource, however, will be brought using NOMA more dry
It disturbs, while the fairness of user must be taken into consideration.Another common-denominator target is exactly to improve efficiency to the maximum extent in the following 5G network,
In traditional data transmission procedure, the wireless energy signal of Base Transmitter is all taken as useless energy, causes the waste of resource.Closely
Occurs a kind of new technology for capableing of simultaneous transmission wireless messages and energy year a bit, i.e., wirelessly taking can communicate.Wirelessly takes and can communicate
It is one of the key technology for realizing green communications.It wirelessly takes to communicate and is not only adapted to low power applications, be also applied for high-power disappear
Consume scene.But research shows that energy with receiving end energy collected in information simultaneous transmission is that this disappears with its achievable rate
The relationship of that length, therefore, how reasonable distributing radio resource is decoded with the collection of energy and information at coordination reception end to Guan Chong
It wants.
Summary of the invention
In view of the above-mentioned problems, the invention proposes based on radio resource allocation side in the NOMA communication system for wirelessly taking energy
Method, this method are based on " system spectral efficiency maximization " principle, are ensuring system user fairness and effective use user's collection energy
Under the constraint of amount, optimal uplink pilot sequence length, regularization parameter, power division coefficient and power partition coefficient are calculated,
With the optimum allocation of radio resource in realization system, the specific implementation steps are as follows:
Step (101): it is based on " system spectral efficiency maximization " principle, calculates separately user uplink pilot frequency sequence using iterative method
Column length, regularization parameter, power division coefficient and power partition coefficient, and the ascending pilot frequency sequence gone out according to each iteration
Column length, regularization parameter, power division coefficient and power partition coefficient calculate the system spectral efficiency of current iteration number；
Step (102): the system spectral efficiency absolute value of the difference after calculating current and preceding an iteration, and whether judge the value
If the determination result is YES then stopping calculating less than or equal to convergence decision threshold, iteration result at this time is required optimal value,
If judging result is no, return step (101) continuation iteration；
Step (103): utilizing above-mentioned optimal pilot sequence length, and user sends ascending pilot frequency, and base station is according to receiving
Pilot signal carries out channel estimation, obtains the imperfect channel state information of all users, and then combine optimal regularization parameter
Regularization force zero pre-coding matrix is calculated, base station is based on above-mentioned optimal power allocation coefficient and sends a signal to each user, each
The a part for receiving signal is used for collection of energy based on optimal power division coefficient by user, and another part is decoded for information.
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(101) in, iterative algorithm the following steps are included:
Step (201): initialization system user uplink pilot sequence length, regularization parameter, power division coefficient and
Power partition coefficient, respectively symbolically areβ(0)、Concurrently set convergence decision threshold ∈=10-8, repeatedly
Generation number i=0；
Step (202): it utilizesβ(0)、Computing system spectrum efficiency initial value；
Step (203): being based on " system spectral efficiency maximization " principle, calculates the system spectral efficiency of i+1 time iteration
Step (204): judgementIt is whether true, if the determination result is YES, (205) are thened follow the steps,
If judging result be it is no, then follow the steps (206)；
Step (205): the uplink pilot sequence length that i+1 time iteration goes outRegularization parameter β(i+1), power point
Cut coefficientAnd power partition coefficientAs required optimal value, is wirelessly transferred according to above-mentioned optimal value；
Step (206): executing i=i+1, and return step (203) continues iteration.
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(202) in, steps are as follows for the specific calculating of system spectral efficiency initial value:
Step (301): using system user uplink pilot sequence length, regularization parameter, power partitioning parameters it is initial
Value, the channel calculated at this time estimates note parameter, to obtain the imperfect channel state information of all users of system；
Step (302): it using the non-ideal estimation channel matrix and regularization parameter initial value of strong user, calculates at this time
Send pre-coding matrix；
Step (303): pre-coding matrix is sent using user's real channel vector sum in cluster, user's is effective in calculating cluster
It is interfered between power and cluster；
Step (304): interference and uplink pilot sequence length, canonical between the effective power and cluster of user in cluster are utilized
Change the initial value of parameter, power partitioning parameters, power distribution parameter, computing system spectrum efficiency initial value.
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(301) in, the imperfect channel state information of all users of acquisition system is implemented as follows:
Based on energy a part that in the single cell multi-user NOMA downlink wireless communication system for wirelessly taking energy, user is collected
It is consumed for the circuit of uplink channel estimation and channel estimation phase, another part is used for transmission the circuit of information phase
Consumption；Assuming that base station is furnished with N root antenna, user's single antenna, total number of users is K (K > N), wherein > indicate to be greater than；There is N in system
A cluster, there are two users for each cluster, and wherein channel gain is preferably strong user, indicate that channel gain is poor to be with (n, 1)
Weak user indicates that n ∈ [1,2 ..., N], ∈ expression belong to (n, 2)；The uplink that each user sends to base station is assumed simultaneously
Pilot number is Tt, channel coherence interval is T, and T is fixed value；Channel usage amount approximately constant, TtChannel usage amount for
Downlink channels estimation, T-TtChannel usage amount be used for down link data information transmission, multiple Gauss noise power be σ2；
Utilize formula EN, i=(T-Tt)ω(1-ps)βN, i ρCalculate the ENERGY E that i-th of user collects in n-th of clusterN, i, wherein ω ∈ [0,
1] energy conversion efficiency, p are indicatedsIndicate that the power division coefficient of each user, ρ are DL SNR ratio；It will Substitute into calculating formula EN, iIn, it calculatesWhen user collect energyUtilize formula The uplink transmission power for calculating the i-th user in n-th of cluster isWhereinFor with
The circuit at family consumes, andAnd p0For constant；It utilizesCalculate the channel estimation parameter of the i-th user in n-th of cluster
τN, i, willIt is updated to calculating formula τN, i, calculateWhen channel estimation parameterTo ask
? The estimation channel gain of Shi Suoyou user, wherein subscript x(i)Indicate result of the x Jing Guo i-th iteration；
Assuming that the real channel gain of i-th of user is modeled as in n-th of clusterWherein [1,2] i ∈,Indicate the real channel gain in base station and n-th of cluster between i-th of user, vector magnitude is 1 × N；βN, iFor constant,
Indicate the large-scale fading factor of i-th of user in n-th of cluster,Indicate that the multiple Gauss random vector of 1 × N, element all take
From 0 mean value, varianceIndependent same distribution；The estimation channel gain of user is available in base station, and all users send to base station
Row pilot tone, base station receives ascending pilot frequency and carries out channel estimation, by channel estimation parameterSubstitute into formula Obtain the estimation channel gain of the i-th user in n-th of clusterVector magnitude is 1
×N；Wherein TN, iIt is the certainty nonnegative definite matrix of N × N, indicates the transmission correlation matrix of antenna for base station, and TN, i=IN, INIt is N
The unit matrix of × N,Indicate that the multiple Gauss random vector of 1 × N, element all obey 0 mean value, varianceIt is independent with point
Cloth, τN, iFor the channel estimation parameter of the i-th user in n-th of cluster, the accuracy of channel estimation, τ are indicatedN, i∈ [0,1]；Subscript
(·)HThe conjugate transposition operation of representing matrix,Indicate arithmetic square root,The square root calculation of representing matrix, ()2Table
Show quadratic power；And it is modeled with the rapid fading real channel gain of strong user in cluster and weak user as follows:
Wherein n ∈ [1,2 ..., N],WithVector magnitude be all 1 × N,Indicate that the multiple Gauss of 1 × N is random
Vector, element all obey 0 mean value, varianceIndependent same distribution,WithIndependently of each other, θnFor constant, and θn∈ [0,
1], error coefficient is indicated.
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(302) it in, calculates transmission pre-coding matrix and is implemented as follows:
Using the estimation channel gain of all strong users, by all strong subscriber channel Gain generating channel estimate matrixs
Matrix size is N × N；Transmitting terminal uses the precoding of regularization force zero, and regularization parameter β is utilizedAnd β, it calculates Wherein ()-1The inverse operation of representing matrix；Utilize formulaIt calculates to send and prelist
Code matrix G, wherein G meets tr (GGH)≤NP, P > 0, tr () representing matrix ask mark operation.Utilize formula tr (GGH)≤NP,
It calculates Wherein ε indicates that the normalized parameter for meeting base station transmitting power constraint, N are antenna for base station number, and P is
The general power of Base Transmitter；Enable β=β(0), acquire β=β(0)When pre-coding matrix G.
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(303) it in, interferes and is implemented as follows between the effective power and cluster of user in calculating cluster:
For based on wirelessly take can NOMA communication system,Remove strong user in n-th of cluster and estimates channel vector?
It arrivesMatrix size is (N-1) × N；Utilize formulaCalculate strong user and weak user in n-th of cluster
Real channel gain be respectivelyWithAccording to G,AndUtilize formula
Calculate the effective power U of the strong user of n-th of clusters, utilize formulaCalculate the weak user of n-th of cluster
Effective power Uw；Utilize formulaOther clusters are to n-th of cluster in computing system
In strong user interference, utilizeOther clusters are to n-th of cluster in computing system
The interference of weak user.
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(304) in, computing system spectrum efficiency initial value is implemented as follows:
Utilize following formula
Computing system spectrum efficiency Rsp；Wherein αN, 1For user power distribution coefficient strong in n-th of cluster, constant μ is greater than 0, Ex{f
(x) } it indicates to ask expectation to f (x) about variable x, | |2Indicate that the square operation of vector mould, ∑ () indicate summation operation,
Log () indicates logarithm operation；It willIt is updated to system spectral efficiency calculating formula RspIn, calculate system
Spectrum efficiency initial value
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(203) in, the system spectral efficiency of i+1 time iteration is calculatedIt is implemented as follows: first in i-th iteration result
Row pilot sequence lengthRegularization parameter β(i), power division coefficientUtilize following formulas:
Calculate strong user power distribution coefficient in n-th of cluster of i+1 time iterationWherein ρ is DL SNR
Than RminIndicate the minimum channel capacity of weak user, and RminFor constant；Secondly, utilizing parameter beta(i)、Calculate system
Unite spectrum efficiency Rsp, and calculated using linear search optimalThen, parameter is utilizedCalculate system
Unite spectrum efficiency Rsp, and β is calculated using linear search(i+1)；Then, parameter is utilizedComputing system spectrum effect
Rate Rsp, and calculated using linear searchFinally, with computing system spectrum efficiency initial valueEqually, will Substitute into calculating formula RspIn, calculate the system spectral efficiency of i+1 time iteration
Further, above-mentioned based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, in step
(102) in, maximum number of iterations is set, first judges whether current iteration number is greater than maximum number of iterations, if judging result is
It is then to stop calculating；If judging result is no, after calculating current and preceding an iteration system spectral efficiency absolute value of the difference,
And judging whether the value is less than or equal to convergence decision threshold and if the determination result is YES then stops calculating, current iteration goes out at this time
Uplink pilot sequence length, regularization parameter, power division coefficient and power partition coefficient are required optimal value, if sentencing
Disconnected result be it is no, then return step (101) continues iteration, until meeting currently and the system spectral efficiency after preceding an iteration is poor
Absolute value is less than or equal to convergence decision threshold.
The invention adopts the above technical scheme compared with prior art, has following technical effect that
(1) this method uses RZF precoding, and compared with ZF precoding, performance is significantly improved, and establishes same cluster
In model between strong user and the rapid fading real channel gain of weak user, pass through and adjust error coefficient θn, lifting system performance
Computation complexity is reduced simultaneously；
(2) this method is based on " system spectral efficiency maximization " principle, is ensuring system user fairness and effective use use
Family is collected under the constraint of energy, is calculated optimal uplink pilot sequence length, regularization parameter, power using iterative method and is divided
Coefficient and power partition coefficient make simultaneously so that interference is preferably minimized and efficiently uses the energy of user's collection between system cluster
Each user significantly improves system spectral using the information decoding at optimal power division coefficient coordination reception end and collection of energy
Efficiency.
Detailed description of the invention
Fig. 1 is that the process of the present invention based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy is shown
It is intended to.
Fig. 2 is the specific implementation step flow chart of iterative algorithm in Fig. 1 step (101).
Fig. 3 is the specific implementation step flow chart that system spectral efficiency initial value is calculated in Fig. 2 step (202).
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with the accompanying drawings and the specific embodiments
Present invention is further described in detail.
As shown in Figure 1, of the present invention based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, base
In the NOMA communication system for wirelessly taking energy, including a base station and multiple users, base station is furnished with multiple antennas, each user Dan Tian
Line；This method is ensuring system user fairness and effective use user's collection energy according to " system spectral efficiency maximization " principle
Under the constraint of amount, optimal uplink pilot sequence length, regularization parameter, power division coefficient and power distribution system are calculated
Number, thus realize the optimum allocation of radio resource, specifically includes the following steps:
Step (101): it is based on " system spectral efficiency maximization " principle, calculates separately user uplink pilot frequency sequence using iterative method
Column length, regularization parameter, power division coefficient and power partition coefficient, and the ascending pilot frequency sequence gone out according to each iteration
Column length, regularization parameter, power division coefficient and power partition coefficient calculate the system spectral efficiency of current iteration number；
Step (102): the system spectral efficiency absolute value of the difference after calculating current and preceding an iteration, and whether judge the value
Less than or equal to convergence decision threshold；If so, stopping calculating, iteration result at this time is required optimal value, otherwise continues to change
Generation；
Step (103): utilizing above-mentioned optimal pilot sequence length, and user sends ascending pilot frequency, and base station is according to receiving
Pilot signal carries out channel estimation, obtains the imperfect channel state information of all users, and then combine optimal regularization parameter
Regularization force zero pre-coding matrix is calculated, base station is based on above-mentioned optimal power allocation coefficient and sends a signal to each user, each
The a part for receiving signal is used for collection of energy based on optimal power division coefficient by user, and another part is decoded for information.
Specifically, as shown in Fig. 2, iterative algorithm carries out as follows in step (101):
Step (201): initialization system user uplink pilot sequence length, regularization parameter, power division coefficient and
Power partition coefficient, respectively symbolically areConcurrently set convergence decision threshold ∈=10-8、
The number of iterations i=0；
Step (202): it utilizesComputing system spectrum efficiency initial value；Wherein, system spectral is imitated
The specific calculating step of rate initial value is as shown in Figure 3:
Step (301): using system user uplink pilot sequence length, regularization parameter, power partitioning parameters it is initial
Value, calculates channel estimation parameter at this time, to obtain the imperfect channel state information of all users of system；Specific implementation is such as
Under:
Based in the single cell multi-user NOMA downlink wireless communication system for wirelessly taking energy, it is assumed that base station is furnished with N root antenna,
User's single antenna, total number of users are K (K > N), wherein > indicate to be greater than；There is N number of cluster in system, there are two users for each cluster, wherein
Channel gain is preferably strong user, is indicated with (n, 1), and channel gain is poor for weak user, is indicated with (n, 2), n ∈ [1,
2 ..., N], ∈ expression belongs to；Assume that the ascending pilot frequency quantity that each user sends to base station is T simultaneouslyt, channel coherence interval
It is fixed value for T, T；Channel usage amount approximately constant, TtChannel usage amount be used for uplink channel estimation, T-TtChannel
Usage amount is used for the transmission of down link data information, and multiple Gauss noise power is σ2；Utilize formula EN, i=(T-Tt)ω(1-
ps)βN, iρ calculates the ENERGY E that i-th of user collects in n-th of clusterN, i, wherein ω ∈ [0,1] indicates energy conversion efficiency, psTable
Show that the power division coefficient of each user, ρ are DL SNR ratio；It willSubstitute into calculating formula EN, i
In, it calculatesWhen user collect energyUtilize formula
The uplink transmission power for calculating the i-th user in n-th of cluster isWhereinIt is consumed for the circuit of user, andAnd p0It is normal
Amount；It utilizesCalculate the channel estimation parameter τ of the i-th user in n-th of clusterN, i, willIt is updated to calculating
Formula τN, i, calculateWhen channel estimation parameterTo acquireShi Suoyou user's
Estimate channel gain, wherein subscript x(i)Indicate result of the x Jing Guo i-th iteration；
Assuming that the real channel gain of i-th of user is modeled as in n-th of clusterWherein [1,2] i ∈,Indicate the real channel gain in base station and n-th of cluster between i-th of user, vector magnitude is 1 × N, βN, iFor constant,
Indicate the large-scale fading factor of i-th of user in n-th of cluster,Indicate that the multiple Gauss random vector of 1 × N, element all take
From 0 mean value, varianceIndependent same distribution；The estimation channel gain of user is available in base station, and all users send to base station
Row pilot tone, base station receives ascending pilot frequency and carries out channel estimation, by channel estimation parameterSubstitute into formula Obtain the estimation channel gain of the i-th user in n-th of clusterVector magnitude is 1
×N；Wherein TN, iIt is the certainty nonnegative definite matrix of N × N, indicates the transmission correlation matrix of antenna for base station, and TN, i=IN, INIt is N
The unit matrix of × N,Indicate that the multiple Gauss random vector of 1 × N, element all obey 0 mean value, varianceIt is independent with point
Cloth, τN, iFor the channel estimation parameter of the i-th user in n-th of cluster, the accuracy of channel estimation, τ are indicatedN, i∈ [0,1], subscript
(·)HThe conjugate transposition operation of representing matrix,Indicate arithmetic square root,The square root calculation of representing matrix, ()2Table
Show quadratic power；Rapid fading real channel gain modeling with strong user in cluster and weak user is as follows:
WhereinWithVector magnitude be all 1 × N,Indicate that the multiple Gauss random vector of 1 × N, element all take
From 0 mean value, varianceIndependent same distribution,WithIndependently of each other；θnFor constant, and θn∈ [0,1] indicates error coefficient；
Step (302): it using the non-ideal estimation channel matrix and regularization parameter initial value of strong user, calculates at this time
Send pre-coding matrix；Wherein, transmission pre-coding matrix is calculated to be implemented as follows:
Using the estimation channel gain of all strong users, by all strong subscriber channel Gain generating channel estimate matrixs
Matrix size is N × N, and transmitting terminal uses the precoding of regularization force zero, and regularization parameter β is utilizedAnd β, it calculates Wherein ()-1The inverse operation of representing matrix；Utilize formulaIt calculates to send and prelist
Code matrix G, wherein G meets tr (GGH)≤NP, P > 0, tr () representing matrix ask mark operation；Utilize formula tr (GGH)≤NP,
It calculates Wherein ε indicates that the normalized parameter for meeting base station transmitting power constraint, N are antenna for base station number, and P is
The general power of Base Transmitter；Enable β=β(0), acquire β=β(0)When pre-coding matrix G；
Step (303): pre-coding matrix is sent using user's real channel vector sum in cluster, user's is effective in calculating cluster
It is interfered between power and cluster；Wherein, it calculates to interfere between the effective power and cluster of user in cluster and be implemented as follows:
For based on wirelessly take can NOMA communication system,Remove strong user in n-th of cluster and estimates channel vector?
It arrivesMatrix size is (N-1) × N；Utilize formulaCalculate strong user and weak user in n-th of cluster
Real channel gain be respectivelyWithAccording to G,AndUtilize formula
Calculate the effective power U of the strong user of n-th of clusters, utilize formulaCalculate the weak user of n-th of cluster
Effective power Uw；Utilize formulaOther clusters are to n-th of cluster in computing system
In strong user interference, utilizeOther clusters are to n-th of cluster in computing system
The interference of weak user；
Step (304): interference and uplink pilot sequence length, canonical between the effective power and cluster of user in cluster are utilized
Change the initial value of parameter, power partitioning parameters, power distribution parameter, computing system spectrum efficiency initial value；Wherein, computing system is composed
Efficiency initial value is implemented as follows:
Utilize the user uplink pilot frequency sequence length of i-th iterationRegularization parameter β(i), power division coefficient
And power partition coefficientUtilize following formula
The system spectral efficiency of i-th iteration can be calculatedWherein αN, 1It is distributed for user power strong in n-th of cluster and is
Number, constant μ are greater than 0, Ex{ f (x) } indicates to ask expectation to f (x) about variable x, | |2Indicate the square operation of vector mould, ∑
() indicates summation operation, and log () indicates logarithm operation；Therefore, willIt is updated to system spectral effect
Rate calculating formula RspIn, calculate system spectral efficiency initial value
Step (203): it is based on " system spectral efficiency maximization " principle, first according to i-th iteration result ascending pilot frequency sequence
Column lengthRegularization parameter β(i), power division coefficientUtilize following formulas:
Calculate strong user power distribution coefficient in n-th of cluster of i+1 time iterationWherein ρ is DL SNR
Than RminIndicate the minimum channel capacity of weak user, and RminFor constant；Secondly, utilizing parameter beta(i)、Calculate system
Unite spectrum efficiency Rsp, and calculated using linear search optimalThen, parameter is utilizedCalculate system
Unite spectrum efficiency Rsp, and β is calculated using linear search(i+1)；Then, parameter is utilizedComputing system spectrum effect
Rate Rsp, and calculated using linear searchFinally, with computing system spectrum efficiency initial valueEqually, will Substitute into calculating formula RspIn, calculate the system spectral efficiency of i+1 time iteration
Step (204): judgementIt is whether true, if the determination result is YES, (205) are thened follow the steps,
If judging result be it is no, then follow the steps (206)；
Step (205): the uplink pilot sequence length that i+1 time iteration goes outRegularization parameter β(i+1), power point
Cut coefficientAnd power partition coefficientAs required optimal value, is wirelessly transferred according to above-mentioned optimal value；
Step (206): executing i=i+1, and return step (203) continues iteration.
Specifically, in step (102), maximum number of iterations S is set, enables current iteration number s=i+1, judgement is current
Whether the number of iterations s is greater than maximum number of iterations S, if the determination result is YES, then stops calculating；If judging result be it is no, count
System spectral efficiency absolute value of the difference after calculating current and preceding an iteration, and judge whether the value is less than or equal to restrain decision gate
Limit, if the determination result is YES, then stops calculating, the uplink pilot sequence length that current iteration goes out at this timeRegularization parameter
β(i+1), power division coefficientAnd in n-th of cluster strong user power partition coefficientAs required optimal value,
If judging result is no, return step (101) continuation iteration, until meeting the system spectral efficiency after current and preceding an iteration
Absolute value of the difference is less than or equal to convergence decision threshold；
Specifically, in step (103), the calculated system user optimal pilot sequence length of step (102), Yong Hufa
Ascending pilot frequency is sent, base station carries out channel estimation according to the pilot signal received, gets the non-ideal communication channel shape of all users
State information, and then optimal regularization parameter is combined to calculate regularization force zero pre-coding matrix, base station is based on above-mentioned optimal power point
Distribution coefficient sends a signal to each user, and a part for receiving signal is used for energy based on optimal power division coefficient by each user
Amount is collected, and another part is decoded for information, to realize the optimum allocation of system wireless resource.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of protection of the present invention.
Claims (9)
1. based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, it is characterised in that: specific step is as follows:
Step (101): it is based on " system spectral efficiency maximization " principle, it is long to calculate separately user uplink pilot frequency sequence using iterative method
Degree, regularization parameter, power division coefficient and power partition coefficient；And it is long according to the uplink pilot sequence that each iteration goes out
Degree, regularization parameter, power division coefficient and power partition coefficient calculate the system spectral efficiency of current iteration number；
Step (102): the system spectral efficiency absolute value of the difference after calculating current and preceding an iteration, and judge whether the value is less than
If the determination result is YES then stop calculating equal to convergence decision threshold, iteration result at this time is required optimal value, if sentencing
Disconnected result be no, then return step (101) continuation iteration；
Step (103): utilizing above-mentioned optimal pilot sequence length, and user sends ascending pilot frequency, and base station is according to the pilot tone received
Signal carries out channel estimation, obtains the imperfect channel state information of all users, and then optimal regularization parameter is combined to calculate
Regularization force zero pre-coding matrix, base station are based on above-mentioned optimal power allocation coefficient and send a signal to each user, each user
The a part for receiving signal is used for collection of energy based on optimal power division coefficient, another part is decoded for information.
2. according to claim 1 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
Be: in step (101), iterative algorithm the following steps are included:
Step (201): initialization system user uplink pilot sequence length, regularization parameter, power division coefficient and power
Distribution coefficient, respectively symbolically areβ(0)、Concurrently set convergence decision threshold ∈=10-8, iteration time
Number i=0；
Step (202): it utilizesβ(0)、Computing system spectrum efficiency initial value；
Step (203): being based on " system spectral efficiency maximization " principle, calculates the system spectral efficiency of i+1 time iteration
Step (204): judgementIt is whether true, if the determination result is YES, (205) are thened follow the steps, if sentencing
Disconnected result be it is no, then follow the steps (206)；
Step (205): the uplink pilot sequence length that i+1 time iteration goes outRegularization parameter β(i+1), power segmentation system
NumberAnd power partition coefficientAs required optimal value, is wirelessly transferred according to above-mentioned optimal value；
Step (206): executing i=i+1, and return step (203) continues iteration.
3. according to claim 2 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
Be: in step (202), steps are as follows for the specific calculating of system spectral efficiency initial value:
Step (301): using system user uplink pilot sequence length, regularization parameter, power partitioning parameters initial value, meter
Channel estimation parameter at this time is calculated, to obtain the imperfect channel state information of all users of system；
Step (302): using the non-ideal estimation channel matrix and regularization parameter initial value of strong user, transmission at this time is calculated
Pre-coding matrix；
Step (303): pre-coding matrix is sent using user's real channel vector sum in cluster, calculates the effective power of user in cluster
It is interfered between cluster；
Step (304): joined using interference between the effective power and cluster of user in cluster and uplink pilot sequence length, regularization
The initial value of number, power partitioning parameters, power distribution parameter, computing system spectrum efficiency initial value.
4. according to claim 3 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
Be: in step (301), the imperfect channel state information of all users of acquisition system is implemented as follows:
Based in the single cell multi-user NOMA downlink wireless communication system for wirelessly taking energy, energy a part that user collects is used for
The consumption of the circuit of uplink channel estimation and channel estimation phase, the circuit that another part is used for transmission information phase disappear
Consumption；Assuming that base station is furnished with N root antenna, user's single antenna, total number of users is K (K > N), wherein > indicate to be greater than；Have in system N number of
Cluster, there are two users for each cluster, and wherein channel gain is preferably strong user, indicate that poor channel gain is weak with (n, 1)
User indicates that n ∈ [1,2 ..., N], ∈ expression belong to (n, 2)；Assume that each user leads to the uplink that base station is sent simultaneously
Frequency amount is Tt, channel coherence interval is T, and T is fixed value；Channel usage amount approximately constant, TtChannel usage amount be used for uplink
Link channel estimation, T-TtChannel usage amount be used for down link data information transmission, multiple Gauss noise power be σ2；Benefit
With formula EN, i=(T-Tt)ω(1-ps)βN, iρ calculates the ENERGY E that i-th of user collects in n-th of clusterN, i, wherein [0,1] ω ∈
Indicate energy conversion efficiency, psIndicate that the power division coefficient of each user, ρ are DL SNR ratio；It will Substitute into calculating formula EN, iIn, it calculatesWhen user collect energyUtilize formula The uplink transmission power for calculating the i-th user in n-th of cluster isWhereinFor with
The circuit at family consumes, andAnd p0For constant；It utilizesCalculate the channel estimation ginseng of the i-th user in n-th of cluster
Number τN, i, willIt is updated to calculating formula τN, i, calculateWhen channel estimation parameterTo
It acquires The estimation channel gain of Shi Suoyou user, wherein subscript x(i)Indicate result of the x Jing Guo i-th iteration；
Assuming that the real channel gain of i-th of user is modeled as in n-th of clusterWherein [1,2] i ∈,
Indicate the real channel gain in base station and n-th of cluster between i-th of user, vector magnitude is 1 × N；βN, iFor constant, indicate
The large-scale fading factor of i-th of user in n-th of cluster,Indicate that the multiple Gauss random vector of 1 × N, element all obey 0
Mean value, varianceIndependent same distribution；The estimation channel gain of user is available in base station, and all users send uplink to base station and lead
Frequently, base station receives ascending pilot frequency and carries out channel estimation, by channel estimation parameterSubstitute into formula Obtain the estimation channel gain of the i-th user in n-th of clusterVector magnitude is 1
×N；Wherein TN, iIt is the certainty nonnegative definite matrix of N × N, indicates the transmission correlation matrix of antenna for base station, and TN, i=IN, INIt is N
The unit matrix of × N,Indicate that the multiple Gauss random vector of 1 × N, element all obey 0 mean value, varianceIt is independent with point
Cloth, τN, iFor the channel estimation parameter of the i-th user in n-th of cluster, the accuracy of channel estimation, τ are indicatedN, i∈ [0,1]；Subscript
(·)HThe conjugate transposition operation of representing matrix,Indicate arithmetic square root,The square root calculation of representing matrix, ()2Table
Show quadratic power；And it is modeled with the rapid fading real channel gain of strong user in cluster and weak user as follows:
Wherein n ∈ [1,2 ..., N],WithVector magnitude be all 1 × N,Indicate 1 × N multiple Gauss at random to
Amount, element all obey 0 mean value, varianceIndependent same distribution,WithIndependently of each other, θnFor constant, and θn∈ [0,1],
Indicate error coefficient.
5. according to claim 3 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
It is: in step (302), calculates transmission pre-coding matrix and be implemented as follows:
Using the estimation channel gain of all strong users, by all strong subscriber channel Gain generating channel estimate matrixsMatrix is big
Small is N × N；Transmitting terminal uses the precoding of regularization force zero, and regularization parameter β is utilizedAnd β, it calculates Wherein ()-1The inverse operation of representing matrix；Utilize formulaIt calculates and sends pre-coding matrix G, wherein G
Meet tr (GGH)≤NP, P > 0, tr () representing matrix ask mark operation；Utilize formula tr (GGH)≤NP is calculated Wherein ε indicates that the normalized parameter for meeting base station transmitting power constraint, N are antenna for base station number, and P is Base Transmitter
General power；Enable β=β(0), acquire β=β(0)When pre-coding matrix G.
6. according to claim 3 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
It is: in step (303), interferes and be implemented as follows between the effective power and cluster of user in calculating cluster:
For based on wirelessly take can NOMA communication system,Remove strong user in n-th of cluster and estimates channel vectorIt obtainsMatrix size is (N-1) × N；Utilize formulaCalculate the true of strong user and weak user in n-th of cluster
Real channel gain is respectivelyWithAccording to G,AndUtilize formulaIt calculates
The effective power U of the strong user of n-th of clusters, utilize formulaCalculate having for the weak user of n-th of cluster
Imitate power Uw；Utilize formulaOther clusters are to strong in n-th of cluster in computing system
The interference of user utilizesOther clusters are to the weak use of n-th of cluster in computing system
The interference at family.
7. according to claim 3 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
Be: in step (304), computing system spectrum efficiency initial value is implemented as follows:
Utilize following formula
Computing system spectrum efficiency Rsp；Wherein αN, 1For user power distribution coefficient strong in n-th of cluster, constant μ is greater than 0, Ex{f(x)}
It indicates to ask expectation to f (x) about variable x, | |2Indicate that the square operation of vector mould, ∑ () indicate summation operation, log
() indicates logarithm operation；It willβ(0)、It is updated to system spectral efficiency calculating formula RspIn, calculate system spectral effect
Rate initial value
8. according to claim 2 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
It is: in step (203), calculates the system spectral efficiency of i+1 time iterationIt is implemented as follows: first with i-th
Iteration result uplink pilot sequence lengthRegularization parameter β(i), power division coefficientUtilize following formulas:
Calculate strong user power distribution coefficient in n-th of cluster of i+1 time iterationWherein ρ is DL SNR ratio,
RminIndicate the minimum channel capacity of weak user, and RminFor constant；Secondly, utilizing parameter beta(i)、Computing system spectrum
Efficiency Rsp, and calculated using linear search optimalThen, parameter is utilizedComputing system spectrum
Efficiency Rsp, and β is calculated using linear search(i+1)；Then, parameter is utilizedβ(i+1),Computing system spectrum efficiency Rsp,
And it is calculated using linear searchFinally, with computing system spectrum efficiency initial valueEqually, willβ(i+1)、 Substitute into calculating formula RspIn, calculate the system spectral efficiency of i+1 time iteration
9. according to claim 1 based on wireless resource allocation methods in the NOMA communication system for wirelessly taking energy, feature
It is: in step (102), sets maximum number of iterations, first judge whether current iteration number is greater than maximum number of iterations, if sentencing
Disconnected result be it is yes, then stop calculating；If judging result be it is no, calculate currently and preceding an iteration after system spectral efficiency difference
Absolute value, and judge whether the value is less than or equal to convergence decision threshold and if the determination result is YES then stops calculating, currently at this time
Uplink pilot sequence length, regularization parameter, power division coefficient and the power partition coefficient that iteration goes out are required optimal
Value, if judging result is no, return step (101) continuation iteration, until meeting the system spectral after current and preceding an iteration
Inefficient absolute value is less than or equal to convergence decision threshold.
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