CN108366035A - A kind of method for precoding reducing ADMA system signal peak-to-average power ratios - Google Patents
A kind of method for precoding reducing ADMA system signal peak-to-average power ratios Download PDFInfo
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- CN108366035A CN108366035A CN201810489413.9A CN201810489413A CN108366035A CN 108366035 A CN108366035 A CN 108366035A CN 201810489413 A CN201810489413 A CN 201810489413A CN 108366035 A CN108366035 A CN 108366035A
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- YDGMGEXADBMOMJ-LURJTMIESA-N N(g)-dimethylarginine Chemical compound CN(C)C(\N)=N\CCC[C@H](N)C(O)=O YDGMGEXADBMOMJ-LURJTMIESA-N 0.000 title claims abstract description 28
- YDGMGEXADBMOMJ-UHFFFAOYSA-N asymmetrical dimethylarginine Natural products CN(C)C(N)=NCCCC(N)C(O)=O YDGMGEXADBMOMJ-UHFFFAOYSA-N 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 25
- 230000005540 biological transmission Effects 0.000 claims abstract description 67
- 239000011159 matrix material Substances 0.000 claims abstract description 35
- 238000013016 damping Methods 0.000 claims abstract description 12
- 239000013598 vector Substances 0.000 claims abstract description 11
- 238000012937 correction Methods 0.000 claims abstract description 9
- 238000013507 mapping Methods 0.000 claims description 5
- 230000014509 gene expression Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000005764 inhibitory process Effects 0.000 description 2
- 238000012804 iterative process Methods 0.000 description 2
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- 238000003491 array Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
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Classifications
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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
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2614—Peak power aspects
- H04L27/2615—Reduction thereof using coding
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Abstract
The present invention discloses a kind of method for precoding reducing ADMA system signal peak-to-average power ratios, including:Assuming that system base-station antenna, base station has obtained downlink perspective domain channel matrix, is sent to the raw data symbols vector of user;It needs to execute T iteration assuming that obtaining the transmission signal with desired low peak-to-average power ratio, obtains the transmission power factor and need to execute T2 iteration, meet the transmission assemble of symbol of low peak-to-average power ratio;Initialization;The correction matrix of MMSE estimations is calculated, the modified MMSE estimations for sending signal is calculated, and estimated result is mapped to transmission assemble of symbol, if t+1 is the integral multiple of T2, calculates the new transmission power factor, otherwise continue iteration;It calculates and introduces the transmission signal phasor that damping factor obtains;Current iteration number is updated, determines that obtained transmission signal phasor is the required transmission signal with desired low peak-to-average power ratio.There is the present invention lower complexity, preferable system errors performance system cost can be greatly reduced.
Description
Technical field
The present invention relates to a kind of method for precoding reducing ADMA system signal peak-to-average power ratios, belong to the skill of mobile communication
Art field.
Background technology
Extensive MIMO multicast technologies are to realize the important link of 5G Key Performance Indicators.Due to the big rule of base station deployment
The acquisition of mould aerial array, channel state information (CSI) becomes bottleneck problem, traditional transmission plan, such as time division multiple acess, frequency division
Multiple access, CDMA are no longer desirable for extensive mimo system.For this purpose, utilizing the multi-purpose of extensive MIMO Spatial Dimensions resource
Family transmission plan obtains extensive concern, and ADMA technologies are exactly one of them.
ADMA is the multi-user transmission technology based on angle domain channel characteristics.ADMA technologies map the space CSI of user
To angle domain, to obtain angle domain CSI, the sparsity of user perspective domain channel distribution is recycled to reduce channel matrix dimension.It is logical
It crosses and introduces an additional angle twiddle factor in angle domain, ADMA technologies can further decrease channel matrix dimension, simultaneously
Obtain more accurate user's angle of arrival or beam direction estimation.
ADMA systems have many advantages, can fully provide in excavated space dimension resource, raising spatial resolution and space
Source utilization rate significantly reduces training expense.However, ADMA systems the problem of there is also height power ratios, especially in downlink chain
Circuit-switched data transmission process, the angle domain signal on each beam direction are overlapped mutually, and are likely to be obtained range value variation range very
Big transmission signal, this brings huge challenge to the design of RF devices, system energy efficiency will be greatly reduced and increase system
Hardware cost.Therefore, transmission signal of the design with low peak-to-average power ratio is advantageously implemented inexpensive ADMA systems.
Invention content
Technical problem to be solved by the present invention lies in overcome the deficiencies of the prior art and provide a kind of reduction ADMA systems letter
The method for precoding of number peak-to-average power ratio solves the problems, such as that signal is sent in ADMA systems has height power ratio.The present invention
Realize significant peak-to-average power ratio inhibition and preferable system errors performance with lower complexity, be greatly reduced system at
This.
The present invention specifically uses following technical scheme to solve above-mentioned technical problem:
A kind of method for precoding reducing ADMA system signal peak-to-average power ratios, includes the following steps:
Step (1) assumes that ADMA system base-station antennas are M, and base station has obtained downlink perspective domain channel matrix H, sends
Raw data symbols vector to user is s;
Step (2) assumes that the transmission signal phasor x to be obtained with desired low peak-to-average power ratio needs to execute T times repeatedly
In generation, obtains transmission power factor-beta and needs to execute T2Secondary iteration, the transmission assemble of symbol for meeting low peak-to-average power ratio are χM;
Step (3) initializes current iteration number t, and sends signal phasor xt, transmission power factor-betat, damping factor α;
Step (4) calculates the correction matrix of MMSE estimationsWherein,Expression is drawn
Enter the angle domain channel matrix of the transmission power factor, diag () indicates the diagonal matrix for asking matrix diagonals line element to constitute;
Step (5) calculates the modified MMSE estimations for sending signal phasor x, and estimated result is mapped to transmission glossary of symbols
Close χM, that is, send signal phasorWherein,Expression asks vector in specified set
On mapping;
Step (6) is if judge t+1 as T2Integral multiple, then according to optimizing expressionIt calculates new
The transmission power factor, wherein K be number of users, σ2For the noise variance of system;Otherwise, βt+1=βt;
The transmission signal phasor that step (7) is obtained according to step (5) calculates and introduces the transmission signal that damping factor α is obtained
Vector xt+1=α xt+(1-α)xt+1;
Step (8) update current iteration number t=t+1, and if judge t < T, then follow the steps (4);Otherwise, it determines step
Suddenly (7) obtained signal phasor that sends is the transmission signal phasor x that gained has desired low peak-to-average power ratio.
Further, as a preferred technical solution of the present invention:Downlink perspective domain channel in the step (1)
It is obtained using angle reciprocity method.
Further, as a preferred technical solution of the present invention:Assemble of symbol χ is sent in the step (2)MIt serves as reasons
The permanent envelope that each element is constituted sends assemble of symbol, and each element is evenly distributed on unit circle.
Further, as a preferred technical solution of the present invention:Further include calculating new transmission in the step (6)
After power factor, angle domain channel matrix is updatedWith correction matrix Wu。
Further, as a preferred technical solution of the present invention:Damping factor α=0.95 in the step (7).
The present invention uses above-mentioned technical proposal, can have the following technical effects:
The method for precoding of the reduction ADMA system signal peak-to-average power ratios of the present invention, is modified to sending signal first
MMSE estimations, estimated result is then mapped to the transmission assemble of symbol with low peak-to-average power ratio characteristic, recycles damping
The factor reduces first two variation degree for operating the transmission signal brought, and iteration executes above-mentioned steps until iterations reach pre-
Definite value, obtained transmission signal are exactly precoding output.Modified MMSE estimation and glossary of symbols mapping are executed by iteration, it can be with
Obtain the transmission signal with low peak-to-average power ratio characteristic.Also, the present invention is based on the method for precoding that peak-to-average power ratio inhibits
With lower complexity, significant peak-to-average power ratio inhibition and preferable system errors performance can be obtained, is substantially dropped
Low system cost.
Description of the drawings
Fig. 1 is the ADMA system transmission link block diagrams based on the method for the present invention.
Fig. 2 is that the permanent envelope that the present invention uses sends assemble of symbol schematic diagram.
Fig. 3 is the peak-to-average power ratio performance plot of the method for the present invention.
Specific implementation mode
Embodiments of the present invention are described with reference to the accompanying drawings of the specification.
The present invention proposes a kind of method for precoding reducing ADMA system signal peak-to-average power ratios, what this method used
ADMA system transmission link block diagrams are as shown in Figure 1, the method for the present invention specifically includes following steps under the system:
Step (1) assumes that ADMA system base-station antennas are M, and base station has obtained downlink perspective domain channel matrix H, sends
Raw data symbols vector to user is s;
Wherein, it is the premise for realizing precoding, ADMA system descendings that base station, which has obtained downlink perspective domain channel matrix,
Channel usage angle reciprocity method in link perspective domain obtains.I.e. in tdd mode, since uplink downlink has reciprocity,
Downlink channel can be obtained directly by uplink channel estimation result, however, in the fdd mode, above-mentioned channel reciprocity
Property no longer meets.In view of electromagnetic wave propagation path has reciprocity, during downlink transmission, only those are continued to use
The signal wave of up path backpropagation between family and base station gets to user, therefore, it is desirable to be sent to the signal of user
The AOD of wave beam must be identical as the AOA of uplink signal beam from the user, and this characteristic is known as angle reciprocity, this
ADMA system down link angle domain channel usage angle reciprocity principles are invented to obtain.
Step (2) assumes that the transmission signal phasor x to be obtained with desired low peak-to-average power ratio needs to execute T times repeatedly
In generation, obtains transmission power factor-beta and needs to execute T2Secondary iteration, the transmission assemble of symbol for meeting low peak-to-average power ratio are χM;
Peak-to-average power ratio characteristic due to sending signal depends on sending assemble of symbol χM, preferably send assemble of symbol χMFor
Assemble of symbol is sent by the permanent envelope that each element is constituted, and each element is evenly distributed on unit circle, if Elemental redistribution exists in χ
On circle, then permanent envelope precoding may be implemented, at this point, it is approximately 0dB to send signal peak-to-average power power ratio.
Step (3) initializes current iteration number t=0, and sends signal phasor xt=0, transmission power factor-betat=0, it hinders
Buddhist nun factor-alpha=0.95;Wherein, the design of damping factor α, which can be effectively prevented from, sends signal in an iterative process because changing
Generate oscillation greatly.
Step (4) is due to correction matrix WuDesign may be implemented unbiased MMSE estimation, therefore calculate MMSE estimation
Correction matrixWherein,Indicate the angle domain channel square of the introducing transmission power factor
Battle array, diag () indicate the diagonal matrix for asking matrix diagonals line element to constitute;Subscript H indicates to ask the conjugate transposition of matrix, subscript -1
Inverse of a matrix is sought in expression.
It is to realize that low peak-to-average power ratio is sent out that modified MMSE estimated results are mapped to the specified signal set that sends by step (5)
The key for the number of delivering letters.Therefore the modified MMSE estimations for sending signal phasor x are calculated, and estimated result is mapped to transmission symbol
Set χM, that is, send signal phasorWherein,Expression asks vector in specified collection
The mapping closed.
Step (6) is if judge t+1 as T2Integral multiple, then according to optimizing expressionIt calculates new
The transmission power factor, wherein K be number of users, σ2For the noise variance of system;Otherwise, βt+1=βt;
Also, if current iteration process has updated transmission power factor-beta, and next iteration process needs update accordingly
Angle domain channel matrixAnd correction matrix
Transmission signal phasor of the step (7) obtained by step (5) calculates and introduces the transmission signal that damping factor α is obtained
Vector xt+1=α xt+(1-α)xt+1;So that the transmission signal that the transmission signal that current iteration obtains, which is preceding an iteration, to be obtained with
The weighted sum for the transmission signal phasor that step (5) obtains.
Step (8) update current iteration number t=t+1, and if judge t < T, then follow the steps (4);Otherwise, it determines step
Suddenly (7) obtained signal phasor that sends is the transmission signal phasor x that gained has desired low peak-to-average power ratio.Work as iteration
When number is enough, can obtain having low peak-to-average power ratio, low inter-user interference transmission signal.
The present invention is described with reference to extensive MIMO-ADMA system examples.
Consider extensive MIMO-ADMA downlink transmissions scene, base station configuration has 128 antenna elements
ULA aerial arrays, while service 8 is uniformly distributed at random in base station range and the single antenna non-overlapping in angle domain
User sends assemble of symbol using the permanent envelope being made of 16 elements, and each element is evenly distributed on unit circle, such as Fig. 2 institutes
Show, i.e.,:
It enablesIndicate the acquired downlink perspective domain channel estimate matrix in base station,Indicate base station hair
Give the data symbol vectors of each user.To obtain the transmission signal phasor x with permanent envelope trait, need to execute 50 times repeatedly
Generation, i.e. T=50.It is vibrated in an iterative process to prevent from sending signal phasor, while ensureing preferable system errors performance,
When needing every iteration for executing 10 transmission signals, the iteration of 1 transmission power factor-beta, i.e. T are executed2=10.
Current iteration number t=0 is initialized, signal phasor x is sent0=0, transmission power factor-beta0=1, damping factor α=
0.95.First, the correction matrix of MMSE estimations is calculated:
Wherein,Indicate that the angle domain channel matrix of the introducing transmission power factor, diag () expressions seek matrix pair
The diagonal matrix that diagonal element is constituted, subscript H indicate that the conjugate transposition of matrix, the expression of subscript -1 is asked to seek inverse of a matrix.Then, it calculates
The modified MMSE estimations of signal phasor x are sent, and estimated result is mapped to and sends assemble of symbol χM, that is, send signal arrow
Amount:
Wherein,Indicate the mapping for asking vector to be closed in specified collection.If t+1 is T2Integral multiple, then according to optimization
Expression formula:
The new transmission power factor is calculated, wherein K is number of users, σ2For the noise variance of system;Otherwise, βt+1=βt;So
Afterwards, it calculates and introduces the transmission signal phasor that damping factor obtains:
xt+1=α xt+(1-α)xt+1
Finally, current iteration number is updated:
T=t+1
In turn, if judging t < T, step (4) is turned to;Otherwise, it determines the transmission signal phasor that step (7) obtains is exactly
Transmission signal with permanent envelope trait, that is, the peak-to-average power ratio for sending signal is approximately 0dB.
The present invention executes modified MMSE estimations by iteration and glossary of symbols maps, and can obtain with low peak-to-average power ratio
The transmission signal of characteristic, the results are shown in Figure 3.By shown Fig. 3 it is found that method for precoding through the invention, sends signal
PAPR with 98% probability be less than 0.1dB, with 99% probability be less than 0.2dB, realize the effect of precoding.Therefore, originally
Invention has lower complexity, preferable system errors performance, Ke Yi great based on the method for precoding that peak-to-average power ratio inhibits
Width reduces system cost.
Embodiments of the present invention are explained in detail above in conjunction with attached drawing, but the present invention is not limited to above-mentioned implementations
Mode within the knowledge of a person skilled in the art can also be without departing from the purpose of the present invention
It makes a variety of changes.
Claims (5)
1. a kind of method for precoding reducing ADMA system signal peak-to-average power ratios, which is characterized in that include the following steps:
Step (1) assumes that ADMA system base-station antennas are M, and base station has obtained downlink perspective domain channel matrix H, has been sent to use
The raw data symbols vector at family is s;
Step (2) assumes that the transmission signal phasor x to be obtained with desired low peak-to-average power ratio needs to execute T iteration, obtains
Transmission power factor-beta is obtained to need to execute T2Secondary iteration, the transmission assemble of symbol for meeting low peak-to-average power ratio are χM;
Step (3) initializes current iteration number t, and sends signal phasor xt, transmission power factor-betat, damping factor α;
Step (4) calculates the correction matrix of MMSE estimationsWherein,It indicates to introduce hair
The angle domain channel matrix of power factor, diag () is sent to indicate the diagonal matrix for asking matrix diagonals line element to constitute;
Step (5) calculates the modified MMSE estimations for sending signal phasor x, and estimated result is mapped to and sends assemble of symbol χM,
Send signal phasorWherein,It indicates to ask vector that collection is being specified to close
Mapping;
Step (6) is if judge iterations t+1 as T2Integral multiple, then according to optimizing expressionMeter
The new transmission power factor, wherein K are number of users, σ2For the noise variance of system;Otherwise, βt+1=βt;
The transmission signal phasor that step (7) is obtained according to step (5) calculates and introduces the transmission signal phasor x that damping factor α is obtainedt +1=α xt+(1-α)xt+1;
Step (8) update current iteration number t=t+1, and if judge t < T, then follow the steps (4);Otherwise, it determines
The obtained signal phasor that sends of step (7) is the transmission signal phasor x that gained has desired low peak-to-average power ratio.
2. reducing the method for precoding of ADMA system signal peak-to-average power ratios according to claim 1, it is characterised in that:It is described
Downlink perspective domain channel usage angle reciprocity method obtains in step (1).
3. reducing the method for precoding of ADMA system signal peak-to-average power ratios according to claim 1, it is characterised in that:It is described
Assemble of symbol χ is sent in step (2)MPermanent envelope to be made of each element sends assemble of symbol, and each element is uniformly distributed
On unit circle.
4. reducing the method for precoding of ADMA system signal peak-to-average power ratios according to claim 1, it is characterised in that:It is described
Further include after calculating the new transmission power factor, updating angle domain channel matrix in step (6)With correction matrix Wu。
5. reducing the method for precoding of ADMA system signal peak-to-average power ratios according to claim 1, it is characterised in that:It is described
Damping factor α=0.95 in step (7).
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104917714A (en) * | 2015-06-08 | 2015-09-16 | 电子科技大学 | Method for reducing peak-to-average power ratio of large-scale MIMO-OFDM down link |
CN105933044A (en) * | 2016-05-11 | 2016-09-07 | 中山大学 | Low-complexity precoding method for large-scale multi-antenna system |
CN106209716A (en) * | 2016-06-30 | 2016-12-07 | 电子科技大学 | A kind of method reducing extensive MU MIMO ofdm system peak-to-average power ratio |
US20170171859A1 (en) * | 2015-07-14 | 2017-06-15 | Motorola Mobility Llc | Method and apparatus for reducing latency of lte uplink transmissions |
CN107181712A (en) * | 2017-04-26 | 2017-09-19 | 重庆邮电大学 | A kind of GFDM signal PAPR suppressing methods based on pre-coding matrix |
CN107222446A (en) * | 2017-06-28 | 2017-09-29 | 电子科技大学 | A kind of peak-to-average power ratio reduction system and method for extensive MIMO OFDM |
-
2018
- 2018-05-21 CN CN201810489413.9A patent/CN108366035B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104917714A (en) * | 2015-06-08 | 2015-09-16 | 电子科技大学 | Method for reducing peak-to-average power ratio of large-scale MIMO-OFDM down link |
US20170171859A1 (en) * | 2015-07-14 | 2017-06-15 | Motorola Mobility Llc | Method and apparatus for reducing latency of lte uplink transmissions |
CN105933044A (en) * | 2016-05-11 | 2016-09-07 | 中山大学 | Low-complexity precoding method for large-scale multi-antenna system |
CN106209716A (en) * | 2016-06-30 | 2016-12-07 | 电子科技大学 | A kind of method reducing extensive MU MIMO ofdm system peak-to-average power ratio |
CN107181712A (en) * | 2017-04-26 | 2017-09-19 | 重庆邮电大学 | A kind of GFDM signal PAPR suppressing methods based on pre-coding matrix |
CN107222446A (en) * | 2017-06-28 | 2017-09-29 | 电子科技大学 | A kind of peak-to-average power ratio reduction system and method for extensive MIMO OFDM |
Non-Patent Citations (6)
Title |
---|
JUNG-CHIEH CHEN: ""Low-PAPR Precoding Design for Massive Multiuser MIMO Systems via"", 《IEEE COMMUNICATIONS LETTERS》 * |
JUNG-CHIEH CHEN等: ""Low-Complexity Precoding Design for Massive Multiuser"", 《IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY》 * |
LUYAO NI等: ""Beam domain PAPR reduction for massive MIMO downlink"", 《 2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP)》 * |
WEI PENG等: ""Distributed Precoding for BER Minimization"", 《IEEE ACCESS》 * |
倪路遥等: ""大规模MIMO下行链路波束域峰均功率比抑制的研究"", 《第十九届中国科协年会——分9"互联网+":传统产业变革新动能论坛》 * |
李玮等: ""一种降低MIMO-OFDM系统PAPR的低复杂度SLM算法"", 《光通信研究》 * |
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