CN107592675B - A kind of 3D-MIMO multi-cell downlink adaptive transmission method - Google Patents
A kind of 3D-MIMO multi-cell downlink adaptive transmission method Download PDFInfo
- Publication number
- CN107592675B CN107592675B CN201710915825.XA CN201710915825A CN107592675B CN 107592675 B CN107592675 B CN 107592675B CN 201710915825 A CN201710915825 A CN 201710915825A CN 107592675 B CN107592675 B CN 107592675B
- Authority
- CN
- China
- Prior art keywords
- cell
- user
- base station
- matrix
- kth
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Abstract
The invention discloses a kind of 3D-MIMO multi-cell downlink adaptive transmission method, each base station uses uniform planar antenna array, one priority of each user setting.All User Priorities are set as 1 when original state, subsequent each time slot scheduling, each cell selects this cell serves user using User Priority and known statistic channel information and collects each user wave beam forming vector of joint account and transmission power, then each cell divides the edge customer with neighboring community using the large-scale fading factor to service user, carries out interference coordination to each edge customer and neighboring community.Finally, the service User Priority in this time slot scheduling is set as 1, remaining User Priority adds 1 until reaching highest priority, and the user that each cell only services it in user's set carries out precoding transmissions.The present invention has the advantages that information needed amount is small, computation complexity is low, can flexible setting thresholding meet different QoS of customer, effectively promote edge customer service quality and user fairness.
Description
Technical field
The present invention relates to multiple cell technology for self-adaptively transmitting field, especially a kind of 3D-MIMO multi-cell downlink is adaptive
Transmission method.
Background technique
With the development of advanced information society, the sharp increase of all kinds of intelligent mobile terminal quantity, to wireless communication system
Transmission rate, network capacity, time delay and connection number more stringent requirements are proposed.MIMO technology has become Modern wireless communication
The essential core technology of system, such as LTE system and WIAX system.In the extensive of base station deployment hundreds or even thousands root antenna
MIMO is a kind of effective ways for improving network transmission speed and covering.The spatial resolution and existing MIMO phase of extensive MIMO
Than significantly increasing, energy depth excavated space dimension resource allows multiple users in network sharp on same running time-frequency resource
It is communicated simultaneously with the spatial degrees of freedom that extensive MIMO is provided with base station, thus big under conditions of not needing to increase bandwidth
Amplitude improves spectrum efficiency.In addition, transmission power can be greatly reduced in extensive MIMO, the device by low cost, low-power consumption is real
It is existing, really realize green communications.
Wireless communication spectrum efficiency and power efficiency can be substantially improved in extensive MIMO, it is considered to be building is following efficiently
The key technology of energy green mobile communication system.However, in practical applications, extensive mimo wireless communication is faced with numerous choose
War, one of them is exactly influence of the antenna amount that can configure of base station by base station space and carrier frequency.In order to overcome
Limitation of the limited space to extensive mimo wireless communication system, and further digging utilization vertical dimensions space resources, closely
There has been proposed the large-scale antenna array in base station configuration two-dimensional grid arrangement, referred to as 3D-MIMO over year.Channel information obtains
Take be extensive MIMO face another challenge.Existing extensive MIMO transmission scheme is led by the way that uplink is orthogonal
Frequency and TDD system uplink and downlink channel reciprocity, base station obtains the channel parameter valuation of multi-user's uplink and downlink, and implements uplink with this and connect
Receive processing and downlink precoding transmission.However, this scheme is difficult to adapt to high speed mobile communication scene and FDD system.Channel
Statistic behavior information be within the quite a while it is approximate constant, accuracy is relatively high, utilizes statistical channel state
The transmission plan of information, which has, to be realized that simple, feedback quantity is small, strong robustness, can be suitable for the excellent of TDD and FDD system simultaneously
Point is the effective ways for overcoming the problems, such as channel information acquisition.In addition, inter-cell interference is that limitation multiple cell MIMO communication system is held
The principal element promoted is measured, multiple cell also brings the problem of interfering between subzone network while improving coverage area.Tradition
Interference cancellation techniques ZF, MF, RZF etc., using the instantaneous channel state information of channel, for FDD system, instantaneous channel state
The acquisition of information will will lead to a large amount of overhead and feedback, especially when extensive mimo system base station end antenna scale and
When number of users is very big, system feedback expense can be very big, and will be become using instantaneous channel state information progress interference coordination can not
Row.
Summary of the invention
It is provided the technical problem to be solved by the present invention is to overcome the deficiencies in the prior art under a kind of 3D-MIMO multiple cell
Row adaptive transmission method, the present invention can carry out descending self-adapting transmission according to statistic channel information and to coordinate minizone dry
It disturbs, with fairness and edge customer rate between lower complexity raising user.
The present invention uses following technical scheme to solve above-mentioned technical problem:
A kind of 3D-MIMO multi-cell downlink adaptive transmission method proposed according to the present invention, comprising the following steps:
Step 1: system includes G cell, and the base station of each cell is using uniformly flat using multi-cell downlink Transmission system
Surface antenna battle array, uniform planar antenna array vertically include MvThe horizontal direction of row bay, uniform planar antenna array is every
Row MhA array element；When original state, enabling the priority of all users of each cell is 1, i.e. ψ (i, k)=1, i=1 ..., G, k=
1,…,Ki, wherein ψ (i, k) is the priority of k-th of user of i-th of cell, KiFor total number of users in i-th of cell, then
Each time slot scheduling, each cell can update the priority of each user according to user's scheduling result of the time slot；
Step 2: then each time slot scheduling, each cell Schilling its service user's collection are combined into empty set, i.e.,I=
1 ..., G, whereinGather for the service user of i-th of cell,For empty set；
Step 3: each cell recycles User Priority and known statistic channel information respectively to carry out user's scheduling and calculate
Each user wave beam forming vector and transmission power；The statistic channel information include: i-th of cell base station and j-th of cell
P-th of user between channel large-scale fading factor-betai,j,p, vertically send Correlation Matrix
Level sends Correlation MatrixAndWherein, j=1 ..., G, p=1 ..., Kj, KjFor total number of users in j-th of cell, matrix
Hi,j,pFor the normalization channel matrix between the base station of i-th cell and p-th of user of j-th of cell, meetElement [the H of its m row n-th columni,j,p]m,nIt is arranged for the base station m row n-th of i-th of cell
Bay and j-th of cell p-th of user between channel coefficients,WithRespectively Mv×MvAnd Mh×Mh's
DFT matrix,WithM row n-th arrange element be respectivelyWithWherein, e is the nature truth of a matter, and j' is imaginary unit, subscript ()HConjugation is represented to turn
It sets, E { } representative is averaged, and tr { } represents the mark for seeking matrix；
I-th cell carry out user's scheduling and calculate each user wave beam forming vector and send power as follows into
Row:
A1 it) to k-th of user of i-th of cell, calculatesAndWherein,WithRespectively ΛH,i,i,kA-th of diagonal element and ΛV,i,i,kB-th of diagonal element, AndMatrix Hi,i,kReturning between the base station of i-th cell and k-th of user of i-th of cell
One changes channel matrix；And it enablesWithRespectively ΛH,i,i,kAnd ΛV,i,i,kMaximum diagonal element；
A2+1 integer of N ') is selectedWith+1 integer of M 'MeetAndWherein N ' is less than MvPositive integer, M ' is
Less than MhPositive integer；
A3) by the K of i-th of celliA user is divided into a group of M ' N ', is denoted as respectively group (m ', n '), m '=1 ..., M ',
N '=1 ..., N ', and any kth ' a user meets in group (m ', n ')And
A4 it) chooses in every group in the user of highest priorityMaximum user, the number of users selected are denoted as
A5) ifWherein K is the maximum number of user that each cell services simultaneously, the then user that will be selected in step a4)
The service user set of the i cell is addedOtherwise, it is selected from step a4)In a user, it is selectedWithThe maximum K user of product, be added into the i cell service user set
A6) to k-th of user of i-th of cell, if the user belongs to the service user set of the i cellThen count
Calculate its beamforming vectors bi,k,And send power Pi,k=Pi/ K, whereinRepresent Kroneck
Product operation, subscript ()*Conjugation is represented,For matrixHi,kColumn,For matrixVi,k
Column, PiFor total transmission power of i-th of cell base station；
Step 4: i-th of cell services user to it, divided using the large-scale fading factor adjacent with i-th of cell
The set of the edge customer of j-th of cellj∈Ci, CiFor the set of cells adjacent with i-th of cell；It is specific as follows:
B1) if k-th of user of i-th of cell belongs to the service user set of i-th of cellThen calculate the user
To the base station of i-th cell and the ratio between the large-scale fading factor of the base station S of j-th of celli,j,k；
B2) if Si,j,kLess than a certain pre-set threshold delta1, then set is added in k-th of user of i-th of cell
Step 5: to setIn each user carry out interference coordination；It is specific as follows:
C1) assume setIn c-th user be the i cell kthcA user, the service user of j-th of cell
SetIn d-th of user be j-th of cell pthdA user；Calculate the kth of the i cellcA user, which receives, to come
Gather from the service user of j-th adjacent of cellIn each user interferenceIt finds out wherein to the i cell
KthcA user generates two users for interfering strongest j-th of cell, it is assumed that interference is strongest be j-th of cell l1It is a
User, interference the last the second are the l of j-th of cell2A user；
C2 the kth of the i cell) is calculatedcA user corresponds to the l of j-th of cell1The signal-to-noise ratio of a userIfThen terminate to setIn c-th of user interference coordination, wherein δ2It is pre-set
Threshold value；Otherwise c3 is entered step)；
C3 the kth of the i cell) is calculatedcA user corresponds to the l of j-th of cell2The signal-to-noise ratio of a userIfThen enter step c6)；Otherwise c4 is entered step)；
C4) if the l of j-th of cell1With l2The priority of a user is below the kth of the i cellcA user's
Priority then enters step c5)；Otherwise, by the kth of the i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；
C5) by the l of j-th of cell1With l2A user is from setMiddle deletion, by the kth of the i cellcA use
L of the family as j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
C6) if the kth of the i cellcThe priority of a user is lower than the l of j-th of cell1The priority of a user, then
By the kth of the i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；It is no
Then, c7 is entered step)；
C7) by the l of j-th of cell1A user is from setMiddle deletion, by the kth of the i cellcA user's conduct
The l of j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
Step 6: finally, each cell serves User Priority in this time slot scheduling is set as 1, remaining user is preferential
Grade is plus 1 until reach preset highest priority, and the user that each cell only services it in user's set utilizes to be calculated before this
Beamforming vectors and transmission power carry out precoding transmissions out.
Scheme is advanced optimized as a kind of 3D-MIMO multi-cell downlink adaptive transmission method of the present invention,Calculation method are as follows:
Wherein,For?A diagonal element,For?A diagonal element,
AndThe kth of the base station of respectively j-th cell and i-th of cellcChannel between a user
Level sends Correlation Matrix and vertically sends Correlation Matrix, matrixFor the base station of j-th of cell and the kth of i-th of cellcA use
Normalization channel matrix between family,With
RespectivelyA-th diagonal element andB-th of diagonal element, And
The pth of the base station of respectively j-th cell and j-th of celldThe horizontal of channel sends Correlation Matrix and vertical transmission between a user
Correlation Matrix, matrixFor the base station of j-th of cell and the pth of j-th of celldNormalization channel matrix between a user.
Scheme is advanced optimized as a kind of 3D-MIMO multi-cell downlink adaptive transmission method of the present invention,WithCalculation method are as follows:
Wherein,For the base station of i-th of cell and the kth of i-th of cellcBetween a user the large-scale fading of channel because
Son,For the base station of j-th of cell and the kth of i-th of cellcThe large-scale fading factor of channel between a user,
WithRespectively?It is a andA diagonal element,WithRespectively?
WithA diagonal element, WithRespectivelyA-th diagonal element andB-th it is diagonal
Member,WithRespectivelyA-th diagonal element andB-th of diagonal element, AndRespectively
The l of the base station of j cell and j-th of cell1The horizontal of channel sends Correlation Matrix and vertically sends Correlation Matrix, square between a user
Battle arrayFor the base station of j-th of cell and the l of j-th of cell1Normalization channel square between a user,AndThe base station of respectively j-th cell with it is j-th small
The l in area2The horizontal of channel sends Correlation Matrix and vertically sends Correlation Matrix, matrix between a userFor the base of j-th of cell
It stands and the l of j-th of cell2Normalization channel square between a user,WithRespectivelyWith
Maximum diagonal element,
AndMatrixFor the base station of i-th of cell and the kth of i-th of cellcBetween a user
Normalization channel matrix.
Scheme is advanced optimized as a kind of 3D-MIMO multi-cell downlink adaptive transmission method of the present invention, G is
Integer greater than 1.
Scheme is advanced optimized as a kind of 3D-MIMO multi-cell downlink adaptive transmission method of the present invention,
SI, j, kCalculation method are as follows:
Si,j,k=βi,i,k/βj,i,k,
Wherein βi,i,kBetween the base station of i-th cell and k-th of user of i-th of cell the large-scale fading of channel because
Son, βj,i,kThe large-scale fading factor of channel between the base station of j-th cell and k-th of user of i-th of cell.
The invention adopts the above technical scheme compared with prior art, has following technical effect that
(1) this method only needs the statistical information of channel, and required channel information amount is small, is suitable for various typical channel radios
Letter system；
(2) computation complexities such as inter-cell interference metric in this method are low, are easily achieved；
(3) this method can meet different use according to the requirement of system and QoS of customer, flexible setting difference thresholding
Family service quality and throughput of system.
Specific embodiment
Technical solution of the present invention is described in further detail below:
Method of the invention mainly comprises the steps that
Step 1: enabling the priority of all users of each cell is 1, i.e. ψ (i, k)=1, i=1 ... when original state,
G, k=1 ..., Ki, wherein ψ (i, k) is the priority of k-th of user of i-th of cell, KiFor total user in i-th of cell
Number, subsequent each time slot scheduling, each cell can update the priority of each user according to user's scheduling result of the time slot；
Step 2: then each time slot scheduling, each cell Schilling its service user's collection are combined into empty set, i.e.,I=
1 ..., G, whereinGather for the service user of i-th of cell,For empty set；
Step 3: each cell respectively carries out user's scheduling and calculates each user wave beam forming vector and send power；I-th
Cell carries out user's scheduling and calculates each user wave beam forming vector and send power to carry out as follows:
A1) to k-th of user of i-th of cell, k=1 ..., Ki, calculateAndWhereinWithRespectively ΛH,i,i,kA-th of diagonal element and ΛV,i,i,kB-th pair
Angle member,AndMatrix Hi,i,kReturning between the base station of i-th cell and k-th of user of i-th of cell
One changes channel matrix,WithM row n-th arrange element be respectivelyWithWherein, e is the nature truth of a matter, and j' is imaginary unit,；And it enablesWith
Respectively ΛH,i,i,kAnd ΛV,i,i,kMaximum diagonal element；
A2+1 integer of N ') is selectedWith+1 integer of M 'MeetAndWherein N ' is less than MvPositive integer, M ' is
Less than MhPositive integer；
A3) by the K of i-th of celliA user is divided into a group of M ' N ', is denoted as respectively group (m ', n '), m '=1 ..., M ',
N '=1 ..., N ', and any kth ' a user meets in group (m ', n ')And
A4 it) chooses in every group in the user of highest priorityMaximum user, the number of users selected are denoted as
A5) ifWherein K is the maximum number of user that each cell can service simultaneously, the then use that will be selected in step a4)
The service user set of the i cell is added in familyOtherwise, it is selected from step a4)In a user, it is selectedWithThe maximum K user of product, be added into the i cell service user set
A6) to k-th of user of i-th of cell, if the user belongs to the service user set of the i cellThen count
Calculate its beamforming vectors bi,k,And send power Pi,k=Pi/ K, whereinRepresent Kroneck
Product operation, subscript ()*Conjugation is represented,For matrixHi,kColumn,For matrixVi,kColumn,
PiFor total transmission power of i-th of cell base station；
Step 4: i-th of cell services user to it, divided using the large-scale fading factor adjacent with i-th of cell
The set of the edge customer of j-th of cellj∈Ci, CiFor the set of cells adjacent with i-th of cell；It is specific as follows:
B1) if k-th of user of i-th of cell belongs to the service user set of i-th of cellThen calculate the user
To the base station of i-th cell and the ratio between the large-scale fading factor of the base station S of j-th of celli,j,k:
Si,j,k=βi,i,k/βj,i,k,
Wherein, βi,i,kBetween the base station of i-th cell and k-th of user of i-th of cell the large-scale fading of channel because
Son, βj,i,kThe large-scale fading factor of channel between the base station of j-th cell and k-th of user of i-th of cell；
B2) if Si,j,kLess than a certain pre-set threshold delta1, then set is added in k-th of user of i-th of cell
Step 5: to setIn each user carry out interference coordination；It is specific as follows:
C1) assume setIn c-th user be the i cell kthcA user, the service user collection of j-th of cell
It closesIn d-th of user be j-th of cell pthdA user；Calculate the kth of the i cellcA user, which receives, to be come from
The service user of j-th adjacent of cell gathersIn each user interference
Wherein,For?A diagonal element,For?It is a diagonal
Member,
AndThe kth of the base station of respectively j-th cell and i-th of cellcChannel between a user
Horizontal send Correlation Matrix and vertically send Correlation Matrix, matrixFor the base station of j-th of cell and the kth of i-th of cellc
Normalization channel matrix between a user,WithRespectivelyA-th diagonal element andB-th of diagonal element, And
The pth of the base station of respectively j-th cell and j-th of celldThe horizontal of channel sends Correlation Matrix and vertical transmission between a user
Correlation Matrix, matrixFor the base station of j-th of cell and the pth of j-th of celldNormalization channel matrix between a user；It looks for
Out wherein to the kth of the i cellcA user generates two users for interfering strongest j-th of cell, it is assumed that interference is strongest
For the l of j-th of cell1A user, interference the last the second are the l of j-th of cell2A user；
C2 the kth of the i cell) is calculatedcA user corresponds to the l of j-th of cell1The signal-to-noise ratio of a user
Wherein,For the base station of i-th of cell and the kth of i-th of cellcBetween a user the large-scale fading of channel because
Son,For the base station of j-th of cell and the kth of i-th of cellcThe large-scale fading factor of channel between a user,
For?A diagonal element,For?A diagonal element, WithRespectivelyA-th diagonal element andB-th it is diagonal
Member,
AndThe l of the base station of respectively j-th cell and j-th of cell1Channel between a user
Level sends Correlation Matrix and vertically sends Correlation Matrix, matrixFor the base station of j-th of cell and the l of j-th of cell1A use
Normalization channel square between family,WithRespectivelyWithMaximum diagonal element,
AndMatrixFor the base station of i-th of cell and the kth of i-th of cellcBetween a user
Normalization channel matrix；IfThen terminate to setIn c-th of user interference coordination, wherein δ2For
Pre-set threshold value；Otherwise c3 is entered step)；
C3 the kth of the i cell) is calculatedcA user corresponds to the l of j-th of cell2The signal-to-noise ratio of a user
Wherein,For?A diagonal element,For?A diagonal element,WithRespectivelyA-th it is diagonal
Member andB-th of diagonal element, AndThe base station of respectively j-th cell and jth
The l of a cell2The horizontal of channel sends Correlation Matrix and vertically sends Correlation Matrix, matrix between a userFor j-th of cell
Base station and j-th of cell l2Normalization channel square between a user；IfThen enter step c6)；It is no
Then enter step c4)；
C4) if the l of j-th of cell1With l2The priority of a user is below the kth of the i cellcA user's
Priority then enters step c5)；Otherwise, the kth of the i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；
C5) by the l of j-th of cell1With l2A user is from setMiddle deletion, by the kth of the i cellcA use
L of the family as j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
C6) if the kth of the i cellcThe priority of a user is lower than the l of j-th of cell1The priority of a user, then
By the kth of the i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；It is no
Then, c7 is entered step)；
C7) by the l of j-th of cell1A user is from setMiddle deletion, by the kth of the i cellcA user's conduct
The l of j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
Step 6: each cell serves User Priority in this time slot scheduling is set as 1, remaining User Priority adds
1 until reach preset highest priority, and the user that each cell only services it in user's set utilizes calculates wave beam before this
It shapes vector sum and sends power progress precoding transmissions.
For the technical solution in the present invention is more clearly understood, this programme is specifically described below:
Consider that a multi-cell downlink transmission network, multi-cell system include G cell, each base station uses uniform planar day
Linear array vertically includes MvRow bay, the every row M of horizontal directionhA array element；When original state, all users of each cell are enabled
Priority be 1, hereafter each time slot scheduling, each cell can update the preferential of each user according to user's scheduling result of the time slot
Grade；Subsequent each time slot scheduling, each cell Schilling its service user's collection are combined into empty set, recycle User Priority and known statistics
Channel information respectively carries out user's scheduling and calculates each user wave beam forming vector and send power；Then each cell services it
User divides the edge customer with neighboring community using the large-scale fading factor；Then interference coordination is carried out to each edge customer；
Finally, each cell serves User Priority in this time slot scheduling is set as 1, remaining User Priority adds 1 until reaching
Highest priority, the user that each cell only services it in user's set carry out precoding transmissions；
Macrocell base stations need the statistic channel information of each user known, comprising: the base station of i-th of cell and j-th of cell
P-th of user between channel large-scale fading factor-betai,j,p, vertically send Correlation Matrix
Level sends Correlation MatrixAndWherein, i=1 ..., G, j=1 ..., G, p=1 ..., Kj, KjFor total user in j-th of cell
Number, matrix Hi,j,pFor the normalization channel matrix between the base station of i-th cell and p-th of user of j-th of cell, meetElement [the H of its m row n-th columni,j,p]m,nIt is arranged for the base station m row n-th of i-th of cell
Bay and j-th of cell p-th of user between channel coefficients,WithRespectively Mv×MvAnd Mh×Mh's
DFT matrix, the element that m row n-th arranges are respectivelyWithWherein, e is the nature truth of a matter, and j' is imaginary unit, subscript ()HConjugation is represented to turn
It sets, E { } representative is averaged, and tr { } represents the mark for seeking matrix；
Specific descending self-adapting transmission method the following steps are included:
Step 1: enabling the priority of all users of each cell is 1, i.e. ψ (i, k)=1, i=1 ... when original state,
G, k=1 ..., Ki, wherein ψ (i, k) is the priority of k-th of user of i-th of cell, KiFor total user in i-th of cell
Number, subsequent each time slot scheduling, each cell can update the priority of each user according to user's scheduling result of the time slot；
Step 2: then each time slot scheduling, each cell Schilling its service user's collection are combined into empty set, i.e.,I=
1 ..., G, whereinGather for the service user of i-th of cell,For empty set；
Step 3: each cell respectively carries out user's scheduling and calculates each user wave beam forming vector and send power；I-th
Cell carries out user's scheduling and calculates each user wave beam forming vector and send power to carry out as follows:
A1) to k-th of user of i-th of cell, k=1 ..., Ki, calculateAndWhereinWithRespectively ΛH,i,i,kA-th of diagonal element and ΛV,i,i,kB-th pair
Angle member,AndMatrix Hi,i,kReturning between the base station of i-th cell and k-th of user of i-th of cell
One changes channel matrix；And it enablesWithRespectively ΛH,i,i,kAnd ΛV,i,i,kMaximum diagonal element；
A2+1 integer of N ') is selectedWith+1 integer of M 'MeetAndWherein N ' is less than MvPositive integer, M ' is
Less than MhPositive integer；
A3) by the K of i-th of celliA user is divided into a group of M ' N ', is denoted as respectively group (m ', n '), m '=1 ..., M ',
N '=1 ..., N ', and any kth ' a user meets in group (m ', n ')And
A4 it) chooses in every group in the user of highest priorityMaximum user, the number of users selected are denoted as
A5) ifWherein K is the maximum number of user that each cell can service simultaneously, the then use that will be selected in step a4)
The service user set of the i cell is added in familyOtherwise, it is selected from step a4)In a user, it is selected
WithThe maximum K user of product, be added into the i cell service user set
A6) to k-th of user of i-th of cell, if the user belongs to the service user set of the i cellThen count
Calculate its beamforming vectors bi,k,And send power PI, k=Pi/ K, whereinRepresent Kroneck
Product operation, subscript ()*Conjugation is represented,For matrixHi,kColumn,For matrixVi,kColumn,
PiFor total transmission power of i-th of cell base station；
Step 4: i-th of cell services user to it, divided using the large-scale fading factor adjacent with i-th of cell
The set of the edge customer of j-th of cellj∈Ci, CiFor the set of cells adjacent with i-th of cell；It is specific as follows:
B1) if k-th of user of i-th of cell belongs to the service user set of i-th of cellThen calculate the user
To the base station of i-th cell and the ratio between the large-scale fading factor of the base station S of j-th of celli,j,k:
Si,j,k=βi,i,k/βj,i,k,
Wherein, βi,i,kBetween the base station of i-th cell and k-th of user of i-th of cell the large-scale fading of channel because
Son, βj,i,kThe large-scale fading factor of channel between the base station of j-th cell and k-th of user of i-th of cell；
B2) if Si,j,kLess than a certain pre-set threshold delta1, then set is added in k-th of user of i-th of cell
Step 5: to setIn each user carry out interference coordination；It is specific as follows:
C1) assume setIn c-th user be the i cell kthcA user, the service user collection of j-th of cell
It closesIn d-th of user be j-th of cell pthdA user；Calculate the kth of the i cellcA user, which receives, to be come from
The service user of j-th adjacent of cell gathersIn each user interference
Wherein,For?A diagonal element,For?A diagonal element,
AndThe kth of the base station of respectively j-th cell and i-th of cellcChannel between a user
Horizontal send Correlation Matrix and vertically send Correlation Matrix, matrixFor the base station of j-th of cell and the kth of i-th of cellcIt is a
Normalization channel matrix between user,WithRespectivelyA-th diagonal element andB-th of diagonal element, And
The pth of the base station of respectively j-th cell and j-th of celldThe horizontal of channel sends Correlation Matrix and vertical transmission between a user
Correlation Matrix, matrixFor the base station of j-th of cell and the pth of j-th of celldNormalization channel matrix between a user；It looks for
Out wherein to the kth of the i cellcA user generates two users for interfering strongest j-th of cell, it is assumed that interference is strongest
For the l of j-th of cell1A user, interference the last the second are the l of j-th of cell2A user；
C2 the kth of the i cell) is calculatedcA user corresponds to the l of j-th of cell1The signal-to-noise ratio of a user
Wherein,For the base station of i-th of cell and the kth of i-th of cellcBetween a user the large-scale fading of channel because
Son,For the base station of j-th of cell and the kth of i-th of cellcThe large-scale fading factor of channel between a user,
For?A diagonal element,For?A diagonal element, WithRespectivelyA-th diagonal element andB-th it is diagonal
Member,
AndThe l of the base station of respectively j-th cell and j-th of cell1Channel between a user
Level sends Correlation Matrix and vertically sends Correlation Matrix, matrixFor the base station of j-th of cell and the l of j-th of cell1A use
Normalization channel square between family,WithRespectivelyWithMaximum diagonal element,
AndMatrixFor the base station of i-th of cell and the kth of i-th of cellcBetween a user
Normalization channel matrix；IfThen terminate to setIn c-th of user interference coordination, wherein δ2For
Pre-set threshold value；Otherwise c3 is entered step)；
C3 the kth of the i cell) is calculatedcA user corresponds to the l of j-th of cell2The signal-to-noise ratio of a user
Wherein,For?A diagonal element,For?A diagonal element,WithRespectivelyA-th it is diagonal
Member andB-th of diagonal element, AndThe base station of respectively j-th cell and jth
The l of a cell2The horizontal of channel sends Correlation Matrix and vertically sends Correlation Matrix, matrix between a userFor j-th of cell
Base station and j-th of cell l2Normalization channel square between a user；IfThen enter step c6)；It is no
Then enter step c4)；
C4) if the l of j-th of cell1With l2The priority of a user is below the kth of the i cellcA user's
Priority then enters step c5)；Otherwise, the kth of the i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；
C5) by the l of j-th of cell1With l2A user is from setMiddle deletion, by the kth of the i cellcA use
L of the family as j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
C6) if the kth of the i cellcThe priority of a user is lower than the l of j-th of cell1The priority of a user, then
By the kth of the i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；It is no
Then, c7 is entered step)；
C7) by the l of j-th of cell1A user is from setMiddle deletion, by the kth of the i cellcA user's conduct
The l of j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
Step 6: each cell serves User Priority in this time slot scheduling is set as 1, remaining User Priority adds
1 until reach preset highest priority, and the user that each cell only services it in user's set utilizes calculates wave beam before this
It shapes vector sum and sends power progress precoding transmissions.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (5)
1. a kind of 3D-MIMO multi-cell downlink adaptive transmission method, which comprises the following steps:
Step 1: system includes G cell using multi-cell downlink Transmission system, the base station of each cell uses uniform planar day
Linear array, uniform planar antenna array vertically include MvRow bay, the every row M of the horizontal direction of uniform planar antenna arrayhIt is a
Array element；When original state, enabling the priority of all users of each cell is 1, i.e. ψ (i, k)=1, i=1 ..., G, k=1 ...,
Ki, wherein ψ (i, k) is the priority of k-th of user of i-th of cell, KiIt is then each for total number of users in i-th of cell
Time slot scheduling, each cell can update the priority of each user according to user's scheduling result of the time slot；
Step 2: then each time slot scheduling, each cell Schilling its service user's collection are combined into empty set, i.e.,Wherein,Gather for the service user of i-th of cell,For empty set；
Step 3: each cell recycles User Priority and known statistic channel information respectively to carry out user's scheduling and calculate each use
Family beamforming vectors and transmission power；The statistic channel information includes: the base station of i-th of cell and the pth of j-th of cell
The large-scale fading factor-beta of channel between a useri,j,p, vertically send Correlation MatrixIt is horizontal
Send Correlation MatrixAnd
Wherein, j=1 ..., G, p=1 ..., Kj, KjFor total number of users in j-th of cell, matrix Hi,j,pFor i-th of cell base station with
Normalization channel matrix between p-th of user of j-th of cell meetsIts m row n-th
Element [the H of columni,j,p]m,nFor i-th cell the bay arranged of base station m row n-th and j-th of cell p-th of user it
Between channel coefficients,WithRespectively Mv×MvAnd Mh×MhDFT matrix,WithM row n-th arrange element
RespectivelyWithWherein, e is the nature truth of a matter,
J' is imaginary unit, subscript ()HConjugate transposition is represented, E { } representative is averaged, and tr { } represents the mark for seeking matrix；
I-th of cell carries out user's scheduling and calculates each user wave beam forming vector and send power to carry out as follows:
A1 it) to k-th of user of i-th of cell, calculatesAndWherein,
WithRespectively ΛH,i,i,kA-th of diagonal element and ΛV,i,i,kB-th of diagonal element, AndMatrix Hi,i,kFor
Normalization channel matrix between the base station of i-th cell and k-th of user of i-th of cell；And it enablesWithPoint
It Wei not ΛH,i,i,kAnd ΛV,i,i,kMaximum diagonal element；
A2+1 integer of N ') is selectedWith+1 integer of M 'Meet
AndWherein N ' is less than MvPositive integer, M ' be less than MhPositive integer；
A3) by the K of i-th of celliA user is divided into a group of M ' N ', is denoted as respectively group (m ', n '), m '=1 ..., and M ', n '=
1 ..., N ', and any kth ' a user meets in group (m ', n ')And
A4 it) chooses in every group in the user of highest priorityMaximum user, the number of users selected are denoted as
A5) ifWherein K is the maximum number of user that each cell services simultaneously, then the user selected in step a4) is added
The service user set of i-th of cellOtherwise, it is selected from step a4)In a user, it is selectedWith
The maximum K user of product, be added into i-th of cell service user set
A6) to k-th of user of i-th of cell, if the user belongs to the service user set of i-th of cellThen calculate it
Beamforming vectors bi,k,And send power Pi,k=Pi/ K, whereinRepresent Kroneck product fortune
It calculates, subscript ()*Conjugation is represented,For matrixHi,kColumn,For matrixVi,kColumn, PiFor
Total transmission power of i-th of cell base station；
Step 4: i-th of cell services user to it, j-th adjacent with i-th of cell is divided using the large-scale fading factor
The set of the edge customer of cellj∈Ci, CiFor the set of cells adjacent with i-th of cell；It is specific as follows:
B1) if k-th of user of i-th of cell belongs to the service user set of i-th of cellThe user is then calculated to i-th
The ratio between the large-scale fading factor of the base station of a cell and the base station of j-th of cell Si,j,k；
B2) if Si,j,kLess than a certain pre-set threshold delta1, then set is added in k-th of user of i-th of cell
Step 5: to setIn each user carry out interference coordination；It is specific as follows:
C1) assume setIn c-th user be i-th of cell kthcA user, the service user set of j-th of cellIn d-th of user be j-th of cell pthdA user；Calculate the kth of i-th of cellcA user receives from phase
The service user set of j-th adjacent of cellIn each user interferenceIt finds out wherein to the kth of i-th of cellc
A user generates two users for interfering strongest j-th of cell, it is assumed that interference is strongest be j-th of cell l1A use
Family, interference the last the second are the l of j-th of cell2A user；
C2 the kth of i-th of cell) is calculatedcA user corresponds to the l of j-th of cell1The signal-to-noise ratio of a user
IfThen terminate to setIn c-th of user interference coordination, wherein δ2For pre-set threshold value；
Otherwise c3 is entered step)；
C3 the kth of i-th of cell) is calculatedcA user corresponds to the l of j-th of cell2The signal-to-noise ratio of a user
IfThen enter step c6)；Otherwise c4 is entered step)；
C4) if the l of j-th of cell1With l2The priority of a user is below the kth of i-th of cellcA user's is preferential
Grade, then enter step c5)；Otherwise, by the kth of i-th of cellcA user is from setMiddle deletion, and terminate to setIn
The interference coordination of c-th of user；
C5) by the l of j-th of cell1With l2A user is from setMiddle deletion, by the kth of i-th of cellcA user makees
For the l of j-th of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
C6) if the kth of i-th of cellcThe priority of a user is lower than the l of j-th of cell1The priority of a user, then by
The kth of i cellcA user is from setMiddle deletion, and terminate to setIn c-th of user interference coordination；Otherwise,
Enter step c7)；
C7) by the l of j-th of cell1A user is from setMiddle deletion, by the kth of i-th of cellcA user is as j-th
The l of cell1Set is added in a userAnd terminate to setIn c-th of user interference coordination；
Step 6: finally, each cell serves User Priority in this time slot scheduling is set as 1, remaining User Priority is equal
Add 1 until reaching preset highest priority, the user that each cell only services it in user's set utilizes calculates wave before this
Beam shaping vector sum sends power and carries out precoding transmissions.
2. a kind of 3D-MIMO multi-cell downlink adaptive transmission method according to claim 1, which is characterized in thatCalculation method are as follows:
Wherein,For?A diagonal element,For?A diagonal element,
AndThe kth of the base station of respectively j-th cell and i-th of cellcChannel between a user
Horizontal send Correlation Matrix and vertically send Correlation Matrix, matrixFor the base station of j-th of cell and the kth of i-th of cellcIt is a
Normalization channel matrix between user,WithRespectivelyA-th diagonal element andB-th of diagonal element, And
The pth of the base station of respectively j-th cell and j-th of celldThe horizontal of channel sends Correlation Matrix and vertical transmission between a user
Correlation Matrix, matrixFor the base station of j-th of cell and the pth of j-th of celldNormalization channel matrix between a user.
3. a kind of 3D-MIMO multi-cell downlink adaptive transmission method according to claim 1, which is characterized in that
WithCalculation method are as follows:
Wherein,For the base station of i-th of cell and the kth of i-th of cellcThe large-scale fading factor of channel between a user,For the base station of j-th of cell and the kth of i-th of cellcThe large-scale fading factor of channel between a user,WithRespectively?It is a andA diagonal element,WithRespectively?
WithA diagonal element, WithRespectivelyA-th diagonal element andB-th it is diagonal
Member,WithRespectivelyA-th diagonal element andB-th of diagonal element, AndRespectively
The l of the base station of j-th of cell and j-th of cell1The horizontal of channel sends Correlation Matrix and vertically sends Correlation Matrix between a user,
MatrixFor the base station of j-th of cell and the l of j-th of cell1Normalization channel square between a user,AndThe base station of respectively j-th cell with it is j-th small
The l in area2The horizontal of channel sends Correlation Matrix and vertically sends Correlation Matrix, matrix between a userFor the base of j-th of cell
It stands and the l of j-th of cell2Normalization channel square between a user,WithRespectivelyWith
Maximum diagonal element,
AndMatrixFor the base station of i-th of cell and the kth of i-th of cellcBetween a user
Normalization channel matrix.
4. a kind of 3D-MIMO multi-cell downlink adaptive transmission method according to claim 1, which is characterized in that G is big
In 1 integer.
5. a kind of 3D-MIMO multi-cell downlink adaptive transmission method according to claim 1, which is characterized in that Si,j,k
Calculation method are as follows:
Si,j,k=βi,i,k/βj,i,k,
Wherein βi,i,kThe large-scale fading factor of channel between the base station of i-th cell and k-th of user of i-th of cell,
βj,i,kThe large-scale fading factor of channel between the base station of j-th cell and k-th of user of i-th of cell.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710915825.XA CN107592675B (en) | 2017-09-30 | 2017-09-30 | A kind of 3D-MIMO multi-cell downlink adaptive transmission method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710915825.XA CN107592675B (en) | 2017-09-30 | 2017-09-30 | A kind of 3D-MIMO multi-cell downlink adaptive transmission method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107592675A CN107592675A (en) | 2018-01-16 |
| CN107592675B true CN107592675B (en) | 2019-07-30 |
Family
ID=61052439
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710915825.XA Active CN107592675B (en) | 2017-09-30 | 2017-09-30 | A kind of 3D-MIMO multi-cell downlink adaptive transmission method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107592675B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107801251B (en) * | 2017-10-16 | 2019-08-27 | 东南大学 | Three-dimensional multiple-input and multiple-output descending multi-user Transmission system dispatching method |
| CN109039963B (en) * | 2018-05-31 | 2020-10-20 | 北京大学 | Partial zero-forcing precoding method in multi-cell MU-MISO system |
| CN109194375B (en) * | 2018-11-08 | 2021-03-23 | 东南大学 | FD-MIMO multi-cell downlink interference coordination method |
| CN109347528B (en) * | 2018-11-08 | 2021-05-04 | 东南大学 | 3D-MIMO downlink multi-user scheduling and self-adaptive transmission method |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104158577B (en) * | 2014-08-27 | 2017-08-11 | 北京邮电大学 | A kind of wave beam forming implementation method of 3D mimo systems |
| CN104320171B (en) * | 2014-11-03 | 2017-05-03 | 东南大学 | Three-dimensional beam forming space division multi-access adaptive transmission method |
| CN104601209B (en) * | 2015-01-26 | 2017-12-15 | 西安电子科技大学 | A kind of cooperative multi-point transmission method suitable for 3D mimo systems |
| CN104868945A (en) * | 2015-06-03 | 2015-08-26 | 东南大学 | Multi-user downlink three-dimensional statistics beam forming adaptive transmission method using channel mean information |
-
2017
- 2017-09-30 CN CN201710915825.XA patent/CN107592675B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN107592675A (en) | 2018-01-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107592675B (en) | A kind of 3D-MIMO multi-cell downlink adaptive transmission method | |
| CN102916735B (en) | Utilize the wireless communications method of large-scale antenna array | |
| CN105337651B (en) | The user choosing method of non-orthogonal multiple access system downlink under a kind of Limited Feedback | |
| Lin et al. | Downlink spectral efficiency of distributed antenna systems under a stochastic model | |
| CN105634571A (en) | Pilot frequency pollution reduction method based on partial pilot frequency multiplexing in large-scale MIMO system | |
| CN109890075B (en) | Method and system for inhibiting pilot pollution of large-scale MIMO system | |
| CN106452714A (en) | Pilot frequency distribution method for multi-cell multi-user large-scale MIMO system | |
| CN107896125B (en) | Physical layer secure transmission method of full-dimensional multi-antenna SWIPT system | |
| Li et al. | An enhanced beamforming algorithm for three dimensional MIMO in LTE-advanced networks | |
| CN100423603C (en) | Down beam shaping method in multi-carrier high-speed down group switching-in | |
| CN106506109B (en) | Intensive small cell network user grouping and self-adapting interference suppression method | |
| CN102300332A (en) | Partial-channel-information-based opportunity scheduling method and system for multi-cell system | |
| Kim et al. | Performance evaluation for 5G NR based uplink millimeter-wave MIMO systems under urban micro cell | |
| CN107911867B (en) | Downlink transmission and interference coordination method of cellular and D2D hybrid communication network | |
| CN107809795A (en) | Anti-interference method based on time reversal in D2D heterogeneous wireless communication networks | |
| CN104602279A (en) | Threshold value based collaboration base station clustering method and device in heterogeneous network | |
| CN104619028A (en) | MIMO (Multiple Input Multiple Output) heterogeneous network resource allocation method capable of guaranteeing users' fairness | |
| Sheu et al. | On the design of downlink multiuser transmission for a beam-group division 5G system | |
| Wang et al. | Ray-tracing based performance evaluation of 5G mmWave massive MIMO in hotspots | |
| CN106792734B (en) | Utilize the heterogeneous network disturbance coordination method of three-dimensional statistic channel information | |
| Wang et al. | A novel scheduling scheme based on MU-MIMO in TD-LTE uplink | |
| CN103152807A (en) | Method for distributing power between multiple base stations and multiple antennae of TDD (Time Division Duplex) cooperative wireless network | |
| CN103402268B (en) | Downlink MU_COMP scheduling method based on improved chordal distance | |
| CN107801251B (en) | Three-dimensional multiple-input and multiple-output descending multi-user Transmission system dispatching method | |
| CN105227224A (en) | Based on the distribute amplification coordination approach of minimum SLNR maximal criterion in 3D-MIMO system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |