CN106470173A - A kind of BBU-RRU data compression method - Google Patents
A kind of BBU-RRU data compression method Download PDFInfo
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- CN106470173A CN106470173A CN201510504335.1A CN201510504335A CN106470173A CN 106470173 A CN106470173 A CN 106470173A CN 201510504335 A CN201510504335 A CN 201510504335A CN 106470173 A CN106470173 A CN 106470173A
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Abstract
The present invention provides a kind of BBU-RRU data compression method, and described BBU-RRU data compression method includes：It is respectively configured a condensation matrix for each RRU, and described condensation matrix is sent the BBU that described RRU connects, described condensation matrix is used for willCDimensional vector is compressed intoRDimensional vector,R<=C；Described RRU obtains the radio channel state matrix of described RRU and described terminal room, and receivesCDimensional signal vector；Will be described using condensation matrixCDimensional signal vector compression becomesRDimensional signal vector；After described RRU will compressRDimensional signal vector sum radio channel state matrix sends to BBU；BBU utilizes condensation matrix and radio channel state matrix pairRDimensional signal vector is reconstructed, and recovers terminal transmission signal.Technical scheme can be reconstructed to the data of terminal transmission exactly according to radio channel state, improves data transmission efficiency and throughput of system, reduces the bit error rate of reconstruct.
Description
Technical field
The present invention relates to a kind of data communication technology, more particularly to a kind of BBU-RRU data compression method.
Background technology
In wide-band mobile communication system of future generation, BBU-RRU distributed base station pattern has obtained extensive concern, its ultimate principle is that the baseband portion of conventional macro base station and radio frequency part are divided into baseband processing unit (Building Base band Unit,) and Remote Radio Unit (Radio Remote Unit, RRU) BBU.It is attached by optical fiber between BBU and RRU, for the ordinary base station using cable connection, feeder line cost and engineering construction difficulty can be reduced to a greater degree.But it is as being on the increase of data volume demand, the problem limited by fiber bandwidth more highlights, data compression effectively between therefore BBU and RRU, must be carried out.In up BBU-RRU system, the data of terminal transmission is transmitted to RRU through wireless channel, RRU passes through compression module by receipt signal boil down to echo signal, echo signal is transmitted to BBU by optical fiber forward pass, and echo signal is reverted to the primary data of terminal transmission by final BBU by decompression module.Data compression scheme in traditional common public radio interface (Common Public Radio Interface, CPRI) substantially can be divided into two classes：The first kind is time domain data compression scheme, for example down-sampled rate, nonlinear quantization, I/Q data compression etc.；Equations of The Second Kind is frequency domain compression scheme, for example subcarrier compression etc..The compression scheme compression performance adopting in traditional BBU-RRU system awaits improving further, and can significantly improve efficiency of data compression by new compressive sensing theory.But do not consider the impact that wireless channel link pair terminal transmission data causes in traditional compressed sensing scheme, the primary data of terminal transmission cannot be recovered using traditional compressed sensing algorithm exactly, therefore existing compressed sensing scheme is not suitable for BBU-RRU system.
Just become those skilled in the art's problem demanding prompt solution in consideration of it, how to find and there is the data compression scheme being applied between BBU-RRU of more preferable compression performance.
Content of the invention
The shortcoming of prior art in view of the above, it is an object of the invention to provide a kind of BBU-RRU data compression method, for solving the problems, such as that in prior art, the data compression scheme compression efficiency between BBU-RRU is not high.
For achieving the above object and other related purposes, the present invention provides a kind of BBU-RRU data compression method, and described BBU-RRU data compression method includes：It is respectively configured a condensation matrix for each RRU, and described condensation matrix is sent the BBU that described RRU connects, described condensation matrix is used for for C dimensional vector being compressed into R dimensional vector, R<=C；Described RRU obtains the radio channel state matrix of described RRU and described terminal room, and receives C dimensional signal vector；Using condensation matrix, described C dimensional signal vector compression is become R dimensional signal vector；Described RRU sends the R dimensional signal vector sum radio channel state matrix after compressing to BBU；BBU is reconstructed to R dimensional signal vector using described condensation matrix and radio channel state matrix, recovers terminal transmission signal.
Alternatively, condensation matrix A is R × C matrix, and condensation matrix A includes：(r, c) item of condensation matrix A isWherein r ∈ { 1 ..., R }, the RRU sum that c ∈ { 1 ..., C }, M connect for BBU, θrcObedience be uniformly distributed [0,2 π).
Alternatively, the C dimensional signal vector y=Hx+n that described RRU receives, wherein, x is that described K terminal is sent in the signal send in C different subchannels to described RRU, and H is radio channel state matrix, and n is additive noise matrix on different subchannels.
Alternatively, described radio channel state matrix Represent the channel status of c-th subchannel between k-th terminal and RRU, k ∈ { 1 ..., K }, c ∈ { 1 ..., C }.
Alternatively, described channel status refers to the radio channel status information between RRU and the terminal of transmission signal, including large scale decline and/or multipath fading information.
Alternatively, described n=[n1,...,nc,...,nC]T, ncRepresent additive noise in c-th subchannel for the RRU, c ∈ { 1 ..., C }.
Alternatively, the signal that described K terminal sends to described RRU in C different subchannels
Represent the signal that k-th terminal is launched in c-th subchannel, k ∈ { 1 ..., K }, c ∈ { 1 ..., C }.
Alternatively, described using condensation matrix by described C dimensional signal vector y be compressed into R dimensional signal vector z implement including：Z=Ay.
Alternatively, described reconstructing method is：The terminal transmission signal that BBU recoversWherein Θ=AH, σ2For noise power, I is unit diagonal matrix.
Alternatively, described BBU is connected with described RRU by optical fiber.
As described above, the BBU-RRU data compression method of the present invention, have the advantages that：For the deficiencies in the prior art, provide a kind of data compression scheme being applied to BBU-RRU up-link based on compressed sensing, RRU carries out distributed data compression based on compressive sensing theory to the terminal data receiving, and exactly the data of terminal transmission is reconstructed in BBU, significantly reduce optical fiber load, improve data transmission efficiency and throughput of system.Technical scheme carries out distributed data compression based on compressive sensing theory to the terminal data receiving by RRU, BBU is reconstructed to the data of terminal transmission exactly according to radio channel state, significantly reduce optical fiber load, improve data transmission efficiency and throughput of system, reduce the bit error rate of reconstruct.
Brief description
Fig. 1 is shown as the schematic flow sheet of an embodiment of the BBU-RRU data compression method of the present invention.
Fig. 2 is shown as the application structure schematic diagram of an embodiment of the BBU-RRU data compression method of the present invention.
Component label instructions
S1～S5 step
Specific embodiment
Below by way of specific instantiation, embodiments of the present invention are described, those skilled in the art the content disclosed by this specification can understand other advantages and effect of the present invention easily.The present invention can also be carried out by addition different specific embodiments or apply, and the every details in this specification can also be based on different viewpoints and application, without departing from the spirit of the present invention carries out various modifications and changes.
It should be noted that, diagram provided in the present embodiment only illustrates the basic conception of the present invention in a schematic way, then only show the assembly relevant with the present invention in schema rather than draw according to component count during actual enforcement, shape and size, it is actual when implementing, and the kenel of each assembly, quantity and ratio can be a kind of random change, and its assembly layout kenel be likely to increasingly complex.
The present invention provides a kind of BBU-RRU data compression method, can be applicable in BBU-RRU distributed base station, BBU refers to baseband processing unit (Building Base band Unit), and RRU refers to Remote Radio Unit (Radio Remote Unit).This compression method has used for reference compressive sensing theory, and compressive sensing theory indicates the effective way of a novel compressed signal that analogue signal is converted into digital form：Remove perceptual signal by one group of specific waveforms, (degree of association of measurement and given waveform) above given waveform will be projected to by signal, perceive one group of compressed data, optimized method is finally utilized to realize compressed data is deciphered, estimate primary signal, reach very excellent compression performance.The present invention proposes a kind of data compression scheme being applied to BBU-RRU up-link based on compressed sensing, and RRU carries out distributed data compression based on compressive sensing theory to the terminal data receiving.In one embodiment, as shown in figure 1, described BBU-RRU data compression method includes：
Step S1, is respectively configured a condensation matrix for each RRU, and described condensation matrix is sent the BBU that described RRU connects, and described condensation matrix is used for for C dimensional vector being compressed into R dimensional vector, R<=C.Described condensation matrix is used for high-dimensional vector compression becomes the vector of low dimensional.Condensation matrix can be configured for RRU in several ways, can be realized by human configuration mode；Can also be one condensation matrix of each RRU assignment configuration that this BBU connects by BBU.In one embodiment, set compression before vector dimension be C × 1, after compression vector dimension be R × 1 (R≤C), then the dimension of condensation matrix A be R × C.The form of condensation matrix A can select but be not limited to：(r, c) item of matrix A isWherein r ∈ { 1 ..., R }, the RRU sum that c ∈ { 1 ..., C }, M connect for BBU, θrcObedience be uniformly distributed [0,2 π).
Step S2, described RRU obtains the radio channel state matrix of described RRU and described terminal room, and receives C dimensional signal vector.In one embodiment, the described C dimensional signal vector y receiving is that terminal transmission signal x reaches the signal of RRU by wireless channel.The C dimensional signal vector y=Hx+n that described RRU receives, wherein, x is that described K terminal is sent in the signal send in C different subchannels to described RRU, and H is radio channel state matrix, and n is additive white Gaussian noise matrix on different subchannels.Assume total K terminal, wireless transmission bandwidth is divided into C sub-channels, then the dimension that RRU receives is the signal of C × 1 is y=Hx+n.Wherein, radio channel state matrix Represent the channel status of c-th subchannel between k-th terminal and RRU, k ∈ { 1 ..., K }, c ∈ { 1 ..., C }；The signal that described K terminal sends to described RRU in C different subchannels Represent the signal that k-th terminal is launched in c-th subchannel, k ∈ { 1 ..., K }, c ∈ { 1 ..., C }；ni=[n1,...,nc,...,nC]T, ncRepresent additive white Gaussian noise in c-th subchannel for the RRU, c ∈ { 1 ..., C }.Described channel status refers to the radio channel status information between RRU and the terminal of transmission signal, the including but not limited to information such as large scale decline, multipath fading.
Described C dimensional signal vector compression is become R dimensional signal vector using condensation matrix by step S3.In one embodiment, described using condensation matrix by described C dimensional signal vector y be compressed into R dimensional signal vector z implement including：Z=Ay.The mode that the signal y that will receive is compressed into the signal z of low dimensional is z=Ay.
Step S4, described RRU sends the R dimensional signal vector sum radio channel state matrix after compressing to BBU.In one embodiment, described BBU is connected with described RRU by optical fiber.Described RRU is sent the R dimensional signal vector sum radio channel state matrix after compressing to BBU by optical fiber.
Step S5, BBU is reconstructed to R dimensional signal vector using described condensation matrix and radio channel state matrix, recovers terminal transmission signal.In one embodiment, described reconstructing method is：The terminal transmission signal that BBU recoversWherein Θ=AH, σ2For noise power, I is unit diagonal matrix.Condensation matrix A therein is the condensation matrix of the corresponding configuration of RRU sending described R dimensional signal vector.
In one embodiment, as shown in Fig. 2 wherein comprising K terminal, M RRU is connected to BBU BBU-RRU uplink structure scene by optical fiber forward pass, and wireless transmission bandwidth is divided into C sub-channels.
The present embodiment is realized especially by following steps：
Step 1：BBU is that i-th RRU configures condensation matrix Ai, i ∈ { 1 ..., M }.Described condensation matrix AiFor dimension is become the vector of low dimensional R × 1 (R≤C), A for the vector compression of C × 1iDimension be R × C.Matrix Ai(r, c) item beWherein r ∈ { 1 ..., R }, c ∈ { 1 ..., C }, θircObedience be uniformly distributed [0,2 π).
Step 2：RRU receives the signal of K terminal transmission.Assume that the signal that k-th terminal is launched in c-th subchannel isThen i-th RRU receipt signal in c-th subchannel can be expressed as：Wherein,Represent the channel status of c-th subchannel between k-th terminal and i-th RRU, wherein k ∈ { 1 ..., K }, i ∈ { 1 ..., M }, c ∈ { 1 ..., C }；Represent the additive white Gaussian noise in c-th subchannel, i ∈ { 1 ..., M }, c ∈ { 1 ..., C } on i-th RRU.The signal that K terminal is launched in all subchannels is written asI-th RRU receipt signal in all subchannels is written asNoiseThen total receipt signal of i-th RRU can be written as yi=Hix+ni,i∈{1,2,...M}.Wherein, radio channel state matrix
Step 3：RRU utilizes condensation matrix Ai, by the signal receiving yiIt is compressed.I-th RRU uses condensation matrix AiBy dimension for C × 1 vectorial yiIt is compressed into the vectorial z of low dimensional R × 1i, i.e. zi=Aiyi.
Step 4：RRU by compress after signal ziWith radio channel state matrix HiSent to BBU by optical fiber forward pass.
Step 5：BBU utilizes condensation matrix AiWith radio channel state matrix HiTo compressed signal ziIt is reconstructed, recover the signal of terminal transmission.By { zi:I=1,2 ... M } it is connected as long matrixThe total compression signal that then BBU receives can be written as z=Θ x+n.Wherein, Θ=[(A1H1)T,...,(AiHi)T,...,(AMHM)T]T, n=[(A1n1)T,...,(Aini)T,...,(AMnM)T]T, i ∈ { 1 ..., M }.BBU uses MMSE receiver, makes U=(ΘHΘ+σ2I)-1ΘH, wherein σ2Noise power for n, I is unit diagonal matrix.The terminal transmission signal that BBU reconstruct obtains
In sum, the present invention proposes a kind of data compression scheme being applied to BBU-RRU up-link based on compressed sensing, RRU carries out distributed data compression based on compressive sensing theory to the terminal data receiving, BBU is reconstructed to the data of terminal transmission exactly according to radio channel state, significantly reduce optical fiber load, improve data transmission efficiency and throughput of system.It is advantageous that：(1) RRU carries out distributed data compression based on compressive sensing theory to the terminal data receiving, and compared to the compression method in traditional BBU-RRU, significantly reduces optical fiber load, improves data transmission efficiency and throughput of system.(2) BBU is reconstructed to compressed signal z using condensation matrix A and radio channel state matrix H, compared to traditional compressed sensing restructing algorithm, has more accurately recovered the signal of terminal transmission.So, the present invention effectively overcomes various shortcoming of the prior art and has high industrial utilization.
Above-described embodiment only principle of the illustrative present invention and its effect, not for the restriction present invention.Any person skilled in the art all can carry out modifications and changes without prejudice under the spirit and the scope of the present invention to above-described embodiment.Therefore, those of ordinary skill in the art is completed under without departing from disclosed spirit and technological thought such as all equivalent modifications or change, must be covered by the claim of the present invention.
Claims (10)
1. a kind of BBU-RRU data compression method is it is characterised in that described BBU-RRU data compression method includes：
It is respectively configured a condensation matrix for each RRU, and described condensation matrix is sent what described RRU connected
BBU, described condensation matrix is used for for C dimensional vector being compressed into R dimensional vector, R<=C；
Described RRU obtains the radio channel state matrix of described RRU and described terminal room, and receive C dimensional signal to
Amount；
Using condensation matrix, described C dimensional signal vector compression is become R dimensional signal vector；
Described RRU sends the R dimensional signal vector sum radio channel state matrix after compressing to BBU；
BBU is reconstructed to R dimensional signal vector using described condensation matrix and radio channel state matrix, recovers terminal and sends out
Penetrate signal.
2. BBU-RRU data compression method according to claim 1 it is characterised in that：Condensation matrix A is R × C matrix,
Condensation matrix A includes：(r, c) item of condensation matrix A isWherein r ∈ { 1 ..., R },
The RRU sum that c ∈ { 1 ..., C }, M connect for BBU, θrcObedience be uniformly distributed [0,2 π).
3. BBU-RRU data compression method according to claim 1 it is characterised in that：The C dimension that described RRU receives
Signal vector y=Hx+n, wherein, x is sent in C different subchannels for described K terminal and sends out to described RRU
The signal sending, H is radio channel state matrix, and n is additive noise matrix on different subchannels.
4. BBU-RRU data compression method according to claim 3 it is characterised in that：Described radio channel state matrix Represent the channel status of c-th subchannel between k-th terminal and RRU,
K ∈ { 1 ..., K }, c ∈ { 1 ..., C }.
5. BBU-RRU data compression method according to claim 4 it is characterised in that：Described channel status refers to RRU
The radio channel status information and terminal of transmission signal between, including large scale decline and/or multipath fading information.
6. BBU-RRU data compression method according to claim 3 it is characterised in that：Described
N=[n1,...,nc,...,nC]T, ncRepresent additive noise in c-th subchannel for the RRU, c ∈ { 1 ..., C }.
7. BBU-RRU data compression method according to claim 3 it is characterised in that：Described K terminal is at C not
With the signal sending to described RRU in subchannel Represent k-th terminal
The signal of transmitting, k ∈ { 1 ..., K }, c ∈ { 1 ..., C } in c-th subchannel.
8. BBU-RRU data compression method according to claim 3 it is characterised in that：Described utilization condensation matrix will be described
C dimensional signal vector y be compressed into R dimensional signal vector z implement including：Z=Ay.
9. BBU-RRU data compression method according to claim 8 it is characterised in that：Described reconstructing method is：BBU
The terminal transmission signal recoveringWherein Θ=AH, σ2For noise power, I is that unit is diagonal
Matrix.
10. BBU-RRU data compression method according to claim 1 it is characterised in that：Described BBU passes through optical fiber and institute
State RRU to connect.
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| WO2020113572A1 (en) * | 2018-12-07 | 2020-06-11 | Qualcomm Incorporated | Basis subset feedback for channel state information enhancement |
| CN112333425A (en) * | 2020-10-20 | 2021-02-05 | 青岛博瑞斯自动化技术有限公司 | Communication system for ship networking |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107247688A (en) * | 2017-06-02 | 2017-10-13 | 上海德衡数据科技有限公司 | A kind of multichannel data compressed sensing cube framework |
| CN111130582A (en) * | 2018-11-01 | 2020-05-08 | 华为技术有限公司 | Method for calculating emission weight in coherent joint emission JT and corresponding device |
| WO2020113572A1 (en) * | 2018-12-07 | 2020-06-11 | Qualcomm Incorporated | Basis subset feedback for channel state information enhancement |
| CN112333425A (en) * | 2020-10-20 | 2021-02-05 | 青岛博瑞斯自动化技术有限公司 | Communication system for ship networking |
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