CN108206712A - The method and apparatus for carrying out pre- merging treatment for MIMO signal extensive to uplink - Google Patents
The method and apparatus for carrying out pre- merging treatment for MIMO signal extensive to uplink Download PDFInfo
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- CN108206712A CN108206712A CN201611177507.XA CN201611177507A CN108206712A CN 108206712 A CN108206712 A CN 108206712A CN 201611177507 A CN201611177507 A CN 201611177507A CN 108206712 A CN108206712 A CN 108206712A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
- H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
- H04B7/0842—Weighted combining
- H04B7/0848—Joint weighting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0452—Multi-user MIMO systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
- H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
Abstract
The method and apparatus that extensive MIMO signal carries out pre- merging treatment to uplink in a base station are used for the object of the present invention is to provide a kind of.Include the following steps according to the method for the present invention:The covariance matrix column signal of uplink channel estimation from UE is decomposed into multiple sub-array signals;The characteristic value and feature vector of the corresponding long term channel estimation covariance matrix of each sub-array signal are solved respectively by recursive algorithm, until recursion to the basic pre- algorithm for merging device can solve.Compared with prior art, the present invention has the following advantages:It is decomposed and is grouped by signal array corresponding to uplink signal, and long-term smooth pre- merging treatment is carried out to each array group respectively, so as to fulfill the processing to large-scale array signal, the computation complexity of the extensive MIMO receiver of multiple antennas uplink is reduced, improves the efficiency of signal processing.
Description
Technical field
The present invention relates to mobile communication technology field more particularly to one kind for the extensive MIMO letters to uplink in a base station
Number method and apparatus for carrying out pre- merging treatment.
Background technology
In existing best extensive (MASSIVE) MIMO scheme, the traditional design of these receivers must generally be abided by
Follow three principal elements:High-performance, low cost, and can transmitting terminal and receiving terminal handle wireless complex using multiple antennas
Reception signal.
In existing receiver, digital signal processor (digital signal processors, DSP) may be used,
A large amount of signal processings are realized in application-specific IC (ASIC) and field programmable gate array (FPGAs).By using frequency
Rate synthesizer (frequency synthesizer, FS), power amplifier (power amplifiers, PA), low noise amplification
Device (low noise amplifiers, LNA), uplink and downlink conversion circuit, radio-frequency front-end and transmit/receive antenna, baseband portion
Be signally attached to radio circuit, this processing mode of existing receiver is easy to cause excessive signal processing and signal inspection
It surveys, causes which poor performance, of high cost, more complicated.
In fading environment, by the property that can greatly improve Radio Link using mutiple antennas in transmitting terminal and receiving terminal
It can.These benefits include promotion and the high data rate of reliability.
In the MIMO of traditional single user or multi-user (8T8R) system, physical antenna array and mimo channel are two dimensions
--- such as 2*4 cross-polarized arrays antenna.Based on such design, the use of horizontal direction can only be realized at UE ends.
If using the aerial array of three-dimensional such as 64,128 or 256 or more, the complexity of signal processing
It can increase, while also bring along the raising in cost.
Invention content
The object of the present invention is to provide one kind for uplink, extensive MIMO signal to carry out pre- merging treatment in a base station
Method and apparatus.
It is according to an aspect of the invention, there is provided a kind of for uplink, extensive MIMO signal to carry out in advance in a base station
The method of merging treatment, wherein, it the described method comprises the following steps:
The covariance matrix column signal of uplink channel estimation from UE is decomposed into multiple sub-array signals by a;
B solves the feature of the corresponding long term channel estimation covariance matrix of each sub-array signal by recursive algorithm respectively
Value and feature vector.
It is according to an aspect of the invention, there is provided a kind of for uplink, extensive MIMO signal to carry out in advance in a base station
The pre- merging device of merging treatment, wherein, the pre- merging device includes:
Decomposer, it is multiple for the covariance matrix column signal depression of order of the high-order uplink channel estimation from UE to be decomposed into
Sub-array signal;
Multiple sons are pre- to merge device, and the corresponding long-term association side of each sub-array signal is solved respectively for passing through recursive algorithm
The characteristic value and feature vector of poor matrix, until recursion to the basic pre- device algorithm that merges can solve.
According to an aspect of the invention, there is provided the receiver apparatus in a kind of base station, the receiver apparatus includes
One or more pre- merging devices according to the present invention.
Compared with prior art, the present invention has the following advantages:Divided by signal array corresponding to uplink signal
Solution and grouping, and long-term smooth pre- merging treatment is carried out to each array group respectively, so as to fulfill the place to large-scale array signal
Reason reduces the computation complexity of the extensive MIMO receiver of multiple antennas uplink, improves the efficiency of signal processing.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 shows according to the present invention for uplink, extensive MIMO signal to carry out pre- merging treatment in a base station
Method flow diagram;
Fig. 2 shows a kind of pre- conjunctions that pre- merging treatment is carried out for MIMO signal extensive to uplink according to the present invention
And the structure diagram of device;
Fig. 3 a show the one according to the present invention illustrative pre- schematic diagram for merging device;
Fig. 3 b show the one according to the present invention illustrative basic pre- schematic diagram for merging device;
Fig. 4 shows the grouping schematic diagram of one according to the present invention illustrative aerial array;
Fig. 5 shows the one according to the present invention illustrative process schematic for solving channel covariance matrices;
Fig. 6 shows the grouping schematic diagram of one according to the present invention illustrative aerial array;
Fig. 7 shows the one according to the present invention illustrative process schematic for solving channel covariance matrices.
The same or similar reference numeral represents the same or similar component in attached drawing.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
Fig. 1 shows according to the present invention for uplink, extensive MIMO signal to carry out pre- merging treatment in a base station
Method flow diagram.Include step S1 and step S2 according to the method for the present invention.
Wherein, it is realized according to the method for the present invention by the pre- merging device being contained in base station.
Wherein, base station of the present invention includes but not limited to macro base station, micro-base station, femto base station, Home eNodeB etc..It is described
User equipment includes can wirelessly directly or indirectly and the electronic device of base station communication, including but not limited to mobile phone, PDA
Deng.
Preferably, the base station is contained in mimo system.
With reference to Fig. 1, in step sl, the pre- device that merges is by the covariance matrix column signal point of the uplink channel estimation from UE
It solves as multiple sub-array signals.
Preferably, the array signal is large-scale antenna array signal, such as the array signal of 64x64 or 128x128.
Preferably, merge device in advance and continue grouping to every group pattern signal to obtain more sub-array signals, so as to
Pre- union operation is performed to each sub-array signal respectively in every group pattern signal.For example, it is two groups that 128x128, which is divided to,
The array signal of 64x64, then the signal of each 64x64 is divided into the signal of 4 16x16 respectively, so as to respectively to each 16x16
Array signal carry out pre- merging treatment.
Preferably, the covariance matrix column signal of uplink channel estimation can repeatedly be decomposed by merging device in advance, thus will
The antenna array signals of 256x256 even more high-orders.
In step s 2, merge device in advance and solve the corresponding long-term association side of each sub-array signal respectively by recursive algorithm
The characteristic value and feature vector of poor matrix, until recursion to the basic pre- algorithm for merging device can solve.
Wherein, the basic pre- device that merges is used to indicate array signal, the minimum pre- conjunction that processing cannot be decomposed
And device.
One according to the present invention illustrative pre- merging device shown in for example, referring to Fig. 3 a.Wherein, shown in Fig. 3 a
The pre- device that merges merges device Precombiner1 to Precombiner4 and its corresponding receiving end device in advance including 4 sons,
And Precombiner1 to Precombiner4 is basic pre- merging device.Fig. 3 b show each basic pre- merging in Fig. 3 a
The structure diagram of device.With reference to Fig. 3 a, it is input to the subarray letter that the pre- array signal for merging device is divided into 4 16AxC
Number.The sub-array signal of each 16AxC is by the pre- array signal for merging device and being broken down into 4AxC or 8AxC of son, in receiving terminal
For the scene of multi-user (Multiple Users, MU), the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list
The IRC algorithms (4R x IRC) of 4 receiving terminals can be used in the scene of user (Single User, SU).
According to a preferred embodiment of the invention, merge device in advance with the side of specific user (user specific)
Formula carries out pre- merging treatment to array signal, and the method includes the steps S1, step S201 (not shown) and step S3, (figure is not
Show).
In step S201, the pre- characteristic value for merging the long-term road estimation association covariance matrix that device is solved corresponding to particular UE
And feature vector.
Then, in step s3, merge device in advance and solve the pre-coding matrix for corresponding to particular UE so that for the UE's
Beam shaping gain is maximum.
Preferably, in order to reduce interference of the particular UE to other UE, the method includes the steps S4.
In step s 4, merge the characteristic value for the long-term road estimation association covariance matrix that device is solved corresponding to particular UE in advance
And feature vector so that the UE obtains maximum SINR.
Preferably, it is assumed that ykRepresent receiving end signal, then ykIt can be represented with the following formula:
yk=PkHkxk+∑j≠kPkHjxj+nk (1)
Wherein, user k (user k), P are representedkRepresent the signal after pre- merging treatment, HkIt represents from user k to base
The uplink channel estimation matrix stood.
It is based on, formula (1), the signal power for meeting user k is maximum, then obtains:
Preferably, the signal of other UE is revealed in order to reduce user k, considers Sidelobe Suppression (side lobe
Reduction gradual change (tapering)), and so that the SINR of user k is maximum, then it obtains:
According to a preferred embodiment of the invention, merge device in advance in a manner of specific group (group specific)
Pre- merging treatment is carried out to array signal, the method includes the steps S1, step S202 (not shown) and step S5 (not shown).
In step S202, the pre- feature for merging device and solving the long-term road estimation association covariance matrix for corresponding to one group of UE
Value and feature vector.
Then, in step s 5, merge device in advance and solve the pre-coding matrix for corresponding to this group of UE so that for this group of UE
Beam shaping gain it is maximum.
Formula (1) is preferably based on, for one group of user { k, m }, meets user k, the signal power of m is maximum, then
It arrives:
Preferably, in order to reduce user k, m reveals the signal of other UE, considers the gradual change of Sidelobe Suppression.
According to a preferred embodiment of the present invention, after the S2, the method includes the steps S6 (not shown)
In step s 6, merge device in advance and signal zoom operations are carried out to multiple sub-array signals, after scaling
Each subsignal matrix carry out subsequent balanced and merging treatment.
It is illustrated below by 5 kinds of illustrative algorithms based on the present invention.
Example 1:The pre- merging algorithm of specific user (user specific)
With reference to Fig. 4, aerial array is divided into 4 group patterns, is highly relevant inside array.Specifically:
Aerial array is grouped according to following aerial signal:{1,2,…,8,17,18,…,24},{9,10,…,16,25,
26 ..., 32 } ..., and 41,42 ..., 48,57,58 ..., 64 };
The channel covariance matrices of-user i and subarray m areWherein,It is based on upper
The user i and the channel estimate matrix (in this example, m=16) of subarray m that row reference signal (SRS) measurement obtains.
The long-term weight matrix w of each subarrayLT,i,mIt is Rhh,i,mFirst feature vector;
Overall length phase weight matrix wLT,i,mIt is WLT,i,mBlock diagonal matrix (block diagonal matrix).
Wherein, the process for solving channel covariance matrices in the algorithm is as shown in Figure 5.
For the scene of multi-user (MU) the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list in receiving terminal
The IRC algorithms (4R x IRC) of 4 receiving terminals can be used in the scene of user (SU).
Example 2:The gradual change algorithm of specific user (user specific)
With continued reference to the packet mode of aerial array shown in Fig. 4, the length of each group aerial array is obtained based on following steps
Phase covariance matrix:
The long-term covariance matrix of horizontal domain and perpendicular domains is expressed asWith
The channel covariance matrices of this row of each row's antenna are obtained based on SRS measurements.The covariance matrix of each row's (row)
Multiple rows (row), polarization and Physical Resource Block (physical resource block, PRB) by mean deviation time domain into
Row filtering, so as to obtain the covariance matrix of horizontal direction
The horizontal direction covariance matrix of-UE i is expressed asWherein, hi HIt is for every row's antenna
Each poliarizing antenna and each PRB, by the channel vector of UE uplink reference signals (SRS) port to the 1x8 of the 8TRX of eNB;
Similarly, the vertical direction covariance matrix of UE i is expressed asWherein, hi VIt is to be based on
The 1x4 of the channel vector to(for) each poliarizing antenna of every array antenna and each PRB that SRS measurements obtain;
For the scene of multi-user (MU) the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list in receiving terminal
The IRC algorithms (4Rx IRC) of 4 receiving terminals can be used in the scene of user (SU).
Wherein, the pre-coding matrix of wave beam forming (BF) weight can be obtained by following steps:
Beam steering vector set S is set, S is expressed as:
Wherein, n represents antenna serial number, and N represents that antenna connects TRX quantity, and the TRX quantity of horizontal direction is in this example
The quantity of 8, the TRX of vertical direction are 4.
Chebyshev window (Chebyshev window can be described as chebwin), Sidelobe Suppression 30dB;
Set W → W={ s.*chebwin, s ∈ S };
Maximum beam forming gain is found for UE i, then is obtained:
Horizontal direction:
Vertical direction:
By wiH andKronecker product (kronecker product) obtain BF weights and (take and correspond to2x1 vector).
Example 3:The maximum SINR algorithms of specific user (user specific)
With continued reference to antenna packet mode shown in Fig. 4, as shown in the figure, aerial array is divided into 4 group patterns, in array
Portion is highly relevant.Specifically:
Aerial array is grouped according to following aerial signal:{1,2,…,8,17,18,…,24},{9,10,…,16,25,
26 ..., 32 } ..., and 41,42 ..., 48,57,58 ..., 64 };
The channel covariance matrices of-user i and subarray m areWherein,It is based on SRS
Measure the channel estimate matrix of obtained user i and subarray m.
The long-term weight matrix w of each subarrayLT,i,mCorrespond to the generalized character of the maximum generalized characteristic value of matrix
Vector is expressed as:
<==>
Receive the algorithm under power maximizes
Long-term weight matrix wLT,i,mIt is WLT,i,mBlock diagonal matrix.
For the scene of multi-user (MU) the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list in receiving terminal
The IRC algorithms (4R x IRC) of 4 receiving terminals can be used in the scene of user (SU).
Example 4:The pre- merging algorithm of specific group (group specific)
With reference to Fig. 6, aerial array is divided into 8 subarrays, is highly relevant inside subarray.Specifically:
Aerial array is grouped according to following aerial signal:{1,2,3,4,5,6,7,8},{17,18,19,20,21,22,
23,24 }, { 33,34,35,36,37,38,39,40 } ..., and { 41,42,43,44,45,46,47,48 }, 57,58,59,60,
61,62,63,64};
The channel covariance matrices of-user i and subarray m areWherein,(8x8) is base
The user i and the channel estimate matrix of subarray m obtained in SRS measurements.
For user group user i and j, the long-term weight matrix w of each subarrayLT,ij,m(8x1) is Rhh,i,m+Rhh,j,m
The first eigenvector of (8x8+8x8);
For user group user i and j, overall length phase weight matrix wLT,ijIt is wLT,ij,mBlock diagonal matrix.
Wherein, the process for solving solution channel covariance matrices in the algorithm is as shown in Figure 7.
For the scene of multi-user (MU) the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list in receiving terminal
The IRC algorithms (4R x IRC) of 4 receiving terminals can be used in the scene of user (SU).
Example 5:The gradual change algorithm of specific group (group specific)
With reference to antenna packet mode shown in fig. 6, the long-term covariance square of each group aerial array is obtained based on following steps
Battle array:
The long-term covariance matrix of horizontal domain and perpendicular domains is expressed asWith
The channel covariance matrices of this row of every a line antenna are obtained based on SRS measurements.The covariance matrix of each row (column)
Multiple row (column), polarization and Physical Resource Block (physical resource block, PRB) by long-term mean deviation when
Domain is filtered smoothly, so as to obtain level side's covariance matrix
The horizontal direction covariance matrix of-UE i is expressed asWherein, hi HIt is for every row antenna
Each poliarizing antenna and each PRB, by the channel vector of the 1x8 of the 8TRX of UE SRS ports to eNB;
Similarly, the vertical direction covariance matrix of UE i is expressed asWherein, hi VIt is based on SRS
Measure the obtained 1x4 of channel vector to(for) each poliarizing antenna of every array antenna and each PRB;
For user group user i and j, if Ri H=Ri H+Rj H, Ri V=Ri V+Rj V。
For the scene of multi-user (MU) the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list in receiving terminal
The IRC algorithms (4Rx IRC) of 4 receiving terminals can be used in the scene of user (SU).
Also, the pre-coding matrix in this example, obtaining wave beam forming (BF) weight causes the wave beam for this group of UE
The step and the step in example 1 of excipient gain maximum are same or similar, and details are not described herein.
According to a preferred embodiment of the invention, the aerial array with reference to shown in figure considers that each UE passes through gradual change
Difference power afterwards and the difference power after merging in advance, wherein for 16 antennas in a subarray, the ideal antenna letter of UE
Number power is represented by,
By the pre- merging matrix multiple of each user, the equivalent aerial power of each UE is obtained, is expressed as | h_Ideal*
PreCombuser|2。
Preferably, changed power can be generated after merging in advance, PUSCH receiving terminals can be to the final of 16 weights used
RSSI is compensated, and is expressed as:
According to the method for the present invention, it is decomposed and is grouped by signal array corresponding to uplink signal, and is right respectively
Each array group carries out long-term smooth pre- merging treatment, so as to fulfill the processing to large-scale array signal, reduces on multiple antennas
The computation complexity of the extensive MIMO receiver of row improves the efficiency of signal processing.
Fig. 2 shows a kind of pre- conjunctions that pre- merging treatment is carried out for MIMO signal extensive to uplink according to the present invention
And the structure diagram of device.
With reference to Fig. 1, the covariance matrix column signal of the uplink channel estimation from UE is decomposed into multiple submatrixs by decomposer
Column signal.
Preferably, the array signal is large-scale array signal, such as the array signal of 64x64 or 128x128.
Preferably, decomposer continues every group pattern signal grouping to obtain more sub-array signals, thus
Pre- union operation is performed to each sub-array signal respectively in per group pattern signal.For example, 128x128 is divided to for two groups of 64x64
Array signal, in the signal that the signal of each 64x64 is divided into 4 16x16 respectively, so as to respectively to the battle array of each 16x16
Column signal carries out pre- merging treatment.
Preferably, decomposer can repeatedly decompose the covariance matrix column signal of uplink channel estimation, thus will
The antenna array signals of 256x256 even more high-orders.
The sub pre- device that merges solves the corresponding long-term covariance matrix of each sub-array signal by recursive algorithm respectively
Characteristic value and feature vector, until recursion to the basic pre- algorithm for merging device can solve.
Wherein, the basic pre- device that merges is used to indicate array signal, the minimum pre- conjunction that processing cannot be decomposed
And device.
One according to the present invention illustrative pre- merging device shown in for example, referring to Fig. 3 a.Wherein, shown in Fig. 3 a
The pre- device that merges merges device Precombiner1 to Precombiner4 and its corresponding receiving end device in advance including 4 sons,
And Precombiner1 to Precombiner4 is basic pre- merging device.Fig. 3 b show each basic pre- merging in Fig. 3 a
The structure diagram of device.With reference to Fig. 3 a, it is input to the subarray letter that the pre- array signal for merging device is divided into 4 16AxC
Number.The sub-array signal of each 16AxC is by the pre- array signal for merging device and being broken down into 4AxC or 8AxC of son, in receiving terminal
For the scene of multi-user (Multiple Users, MU), the MMSE algorithms (8R x MU) of 8 receiving terminals can be used, for list
The IRC algorithms (4R x IRC) of 4 receiving terminals can be used in the scene of user (Single User, SU).
According to a preferred embodiment of the invention, merge device in advance with the side of specific user (user specific)
Formula carries out pre- merging treatment to array signal.
It is sub pre- merge device solve corresponding to the long term channel estimation covariance matrix of particular UE characteristic value and feature to
Amount.
Then, merge device in advance and solve the pre-coding matrix for corresponding to particular UE so that the beam shaping of the UE is increased
It is beneficial maximum.
Preferably, in order to reduce interference of the particular UE to other UE, the pre- device that merges is solved corresponding to particular UE
The characteristic value and feature vector of long-term covariance matrix so that the UE obtains maximum SINR.
According to a preferred embodiment of the invention, merge device in advance in a manner of specific group (group specific)
Pre- merging treatment is carried out to array signal.
It is sub pre- merge device solve the long term channel estimation covariance matrix for corresponding to one group of UE characteristic value and feature to
Amount.
Then, merge device in advance and solve the pre-coding matrix for corresponding to this group of UE so that for the beam shaping of this group of UE
Gain is maximum.
Scheme according to the present invention is decomposed and is grouped by signal array corresponding to uplink signal, and is right respectively
Each array group carries out long-term smooth pre- merging treatment, so as to fulfill the processing to large-scale array signal, reduces on multiple antennas
The computation complexity of the extensive MIMO receiver of row improves the efficiency of signal processing.
It is obvious to a person skilled in the art that the present invention is not limited to the details of above-mentioned exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requirement rather than above description limit, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation includes within the present invention.Any reference numeral in claim should not be considered as to the involved claim of limitation.This
Outside, it is clear that one word of " comprising " is not excluded for other units or step, and odd number is not excluded for plural number.That is stated in system claims is multiple
Unit or device can also be realized by a unit or device by software or hardware.The first, the second grade words are used for table
Show title, and do not represent any particular order.
Claims (13)
1. it is a kind of for the method that extensive MIMO signal carries out pre- merging treatment to uplink in a base station, wherein, the method
Include the following steps:
The covariance matrix column signal of uplink channel estimation from UE is decomposed into multiple sub-array signals by a;
B solved respectively by recursive algorithm the corresponding long term channel estimation covariance matrix of each sub-array signal characteristic value and
Feature vector, until recursion to the basic pre- algorithm for merging device can solve.
2. according to the method described in claim 1, wherein, the method is come to carry out each array signal in a manner of particular UE
Pre- union operation, the step b include the following steps:
Solve the characteristic value and feature vector of the long term channel estimation covariance matrix corresponding to particular UE;
Wherein, the method is further comprising the steps of:
Solve the pre-coding matrix corresponding to particular UE so that maximum for the beam shaping gain of the UE.
3. according to the method described in claim 2, wherein, in order to reduce interference of the particular UE to other UE, the method includes
Following steps:
Solve the characteristic value and feature vector of the long term channel estimation covariance matrix corresponding to particular UE so that the UE is obtained
Maximum SINR.
4. according to the method described in claim 1, wherein, the method come in a manner of specific group to each subsignal matrix into
Row is pre- to be merged, and the step b includes the following steps:
Solve the characteristic value and feature vector for the long term channel estimation covariance matrix for corresponding to one group of UE;
Wherein, the method is further comprising the steps of:
Solve the pre-coding matrix for corresponding to this group of UE so that maximum for the beam shaping gain of this group of UE.
5. it according to the method described in claim 1, wherein, after the step b, the described method comprises the following steps:
Signal zoom operations are carried out to multiple sub-array signals, each subsignal matrix after scaling carries out follow-up
Equilibrium and merging treatment.
6. according to the method described in claim 1, wherein, the step a includes the following steps:
Continue grouping to every group pattern signal to obtain more sub-array signals, so as to distinguish in every group pattern signal
Pre- merging treatment is carried out to each sub-array signal.
7. a kind of pre- merging device for being used for the pre- merging treatment of extensive MIMO signal progress to uplink in a base station, wherein, institute
Pre- merging device is stated to be used for:
Decomposer, for the uplink channel estimation covariance matrix column signal from UE to be decomposed into multiple sub-array signals;
Multiple sons are pre- to merge device, and the corresponding long term channel estimation of each sub-array signal is solved respectively for passing through recursive algorithm
The characteristic value and feature vector of covariance matrix, until recursion to the basic pre- device algorithm that merges can solve.
8. pre- merging device according to claim 7, wherein, the pre- merging device is come in a manner of particular UE to each
Array signal carries out pre- union operation, and the pre- device that merges of the son is used for:
Solve the characteristic value and feature vector of the long term channel estimation covariance matrix corresponding to particular UE;
Wherein, the pre- merging device is additionally operable to:
Solve the pre-coding matrix corresponding to particular UE so that maximum for the beam shaping gain of the UE.
9. pre- merging device according to claim 8, wherein, it is described pre- in order to reduce interference of the particular UE to other UE
Merge device to be used for:
Solve the characteristic value and feature vector of the long term channel estimation covariance matrix corresponding to particular UE so that the UE is obtained
Maximum SINR.
10. pre- merging device according to claim 7, wherein, the pre- merging device is come in a manner of specific group to each
A sub- signal matrix carries out pre- union operation, and the pre- device that merges of the son is used for:
Solve the characteristic value and feature vector for the long term channel estimation covariance matrix for corresponding to one group of UE;
Wherein, the pre- merging device is additionally operable to:
Solve the pre-coding matrix for corresponding to this group of UE so that maximum for the beam shaping gain of this group of UE.
11. pre- merging device according to claim 7, wherein, the pre- merging device includes:
Device for zooming, for carrying out signal zoom operations, each subsignal matrix after scaling to multiple sub-array signals
Carry out subsequent balanced and merging treatment.
12. pre- merging device according to claim 7, wherein, the decomposer is used for:
Continue grouping to every group pattern signal to obtain more sub-array signals, so as to distinguish in every group pattern signal
Pre- union operation is performed to each sub-array signal.
13. the receiver apparatus in a kind of base station, the receiver apparatus includes one or more as appointed in claim 7 to 12
Pre- merging device described in one.
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