CN110022198A - A kind of pattern divides pattern selection and the design optimization method of multiple access technique - Google Patents
A kind of pattern divides pattern selection and the design optimization method of multiple access technique Download PDFInfo
- Publication number
- CN110022198A CN110022198A CN201910117737.4A CN201910117737A CN110022198A CN 110022198 A CN110022198 A CN 110022198A CN 201910117737 A CN201910117737 A CN 201910117737A CN 110022198 A CN110022198 A CN 110022198A
- Authority
- CN
- China
- Prior art keywords
- pdma
- pattern matrix
- pattern
- target
- candidate
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0037—Inter-user or inter-terminal allocation
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Radio Transmission System (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The pattern that the disclosure provides a kind of pattern segmentation multiple access technique selects and design optimization method.The configurations method for pattern segmentation multiple access system (PDMA) of the disclosure, it include: based on N number of RE in target resource group, candidate's PDMA pattern matrix is constructed for K user, wherein N is the natural number more than or equal to 1, and K is the natural number more than or equal to 1；And it is based on candidate's PDMA pattern matrix, construct target PDMA pattern matrix.The disclosure additionally provides the configurations device for pattern segmentation multiple access system (PDMA).
Description
Technical field
The disclosure belongs to the pattern selection of field of communication technology more particularly to a kind of pattern segmentation multiple access technique and sets
Count optimization method.
Background technique
In PDMA (figure divides multiple access to access) system, configurations are one of key techniques, also directly affect system
Performance.The PDMA pattern of each user is served as reasons the binary vector of " 0 " and " 1 " composition, and multiplexing is all in same resource group
User's pattern constitutes PDMA pattern matrix.The attribute of PDMA pattern matrix, such as matrix dimensionality and sparse degree all influence system
The performance and complexity of system.The heavier pattern (number of element " 1 " i.e. in pattern) of column weight is capable of providing higher order of diversity, energy
More reliable data transmission is enough carried out, but will cause detection complexity increase.Therefore, if system can carry out complicated meter
It calculates, arranging heavier pattern will be more desirable, otherwise must just select lighter pattern.In practice, asking due to Project Realization
Topic, generally compromises in performance and complexity.
Constellation constrains capacity: high if input the limited size of constellation and select constellation modulation symbol to be uniformly distributed
Mutual information between the outputting and inputting of this channel is referred to as the constellation constraint capacity of channel.
Since the modulation symbol of all users carries out superposed transmission on same resource group (RE) according to PDMA pattern, if
All users are modulated using initial constellation, then combined modulation symbol will lead to the problem of ambiguity.
In order to solve the fuzzy problem of combination constellation, existing document proposition can introduce power in PDMA pattern matrix
The factor and phase rotation coefficient.It is pointed out that power factor be so that the power normalization on each RE is 1, but phase rotation because
The not excessive research of son.In addition, carrying out traversal search to the rotation angle to all users when calculating phase rotation coefficient
When will cause higher complexity.
Summary of the invention
In order to solve at least one above-mentioned technical problem, the disclosure provides new the accessing for pattern segmentation multiple access of one kind and is
The configurations method and device of system, is achieved through the following technical solutions.
On the one hand, the disclosure provides a kind of configurations method for pattern segmentation multiple access system (PDMA), packet
It includes:
Be that K user constructs candidate's PDMA pattern matrix based on N number of RE in target resource group, wherein N for more than or equal to
1 natural number, K are the natural number more than or equal to 1；And it is based on candidate's PDMA pattern matrix, construct target PDMA pattern matrix.
According at least one embodiment of the disclosure, it is based on candidate's PDMA pattern matrix, constructs target PDMA pattern square
Battle array, comprising: K pattern building target PDMA pattern matrix is selected from candidate PDMA pattern matrix.
According at least one embodiment of the disclosure, K pattern building target is selected from candidate PDMA pattern matrix
PDMA pattern matrix, comprising:
First row g of one column of random selection as target PDMA pattern matrix from candidate PDMA pattern matrix1, and will wait
Select in PDMA pattern matrix with g1Orthogonal pattern arranges g as (K/2+1) of target PDMA pattern matrixK/2+1, more fresh target
PDMA pattern matrix；
The g as target PDMA pattern matrix is deleted from candidate PDMA pattern matrix1Column and gK/2+1The pattern of column is simultaneously
Update candidate's PDMA pattern matrix；And
From selection in updated candidate's PDMA pattern matrix and each figure in updated target PDMA pattern matrix
The smallest pattern of the sum of inner product of sample, the kth column g as candidate PDMA pattern matrixk, and by candidate PDMA pattern matrix with
gkOrthogonal pattern arranges g as (K/2+k) of target PDMA pattern matrixK/2+k, until selecting K pattern, obtain target
PDMA pattern matrix, wherein k=2,3 ..., K/2.
According at least one embodiment of the disclosure, it is based on candidate's PDMA pattern matrix, constructs target PDMA pattern square
Battle array, further includes: before constructing target PDMA pattern matrix, complete " 1 " pattern is deleted from candidate PDMA pattern matrix.
According at least one embodiment of the disclosure, K user is divided by K/2 group based on the first principle；First is former
Then are as follows: so that two pattern orthogonal relationships in each group.
It is that the pattern in each group configures identical phase rotation coefficient according at least one embodiment of the disclosure,
For the different phase rotation coefficient of each group of configuration.
According at least one embodiment of the disclosure, after obtaining target PDMA pattern matrix, held based on constellation constraint
Amount and the phase rotation coefficient of configuration, are calculated the rotation angle of each user, and then obtain comprising phase rotation coefficient
Target PDMA pattern matrix.
According at least one embodiment of the disclosure, the rotation angle of each user is calculated, comprising: maximize star
Seat constraint capacity, obtains the optimal rotation angle collection Θ of K user*。
According at least one embodiment of the disclosure, number of users K is configured, so that K < 2N-1。
On the other hand, the disclosure provides a kind of configurations device for pattern segmentation multiple access system (PDMA),
Include: first processing module, be that K user constructs candidate's PDMA pattern matrix based on N number of RE in target resource group, wherein N
For the natural number more than or equal to 1, K is the natural number more than or equal to 1；And Second processing module, it is based on candidate's PDMA pattern square
Battle array constructs target PDMA pattern matrix.
Detailed description of the invention
Attached drawing shows the illustrative embodiments of the disclosure, and it is bright together for explaining the principles of this disclosure,
Which includes these attached drawings to provide further understanding of the disclosure, and attached drawing is included in the description and constitutes this
Part of specification.
Fig. 1 is the flow diagram of the configurations method of one embodiment of the disclosure.
Fig. 2 is the flow diagram of the configurations method of one embodiment of the disclosure.
Fig. 3 is that the configurations method of one embodiment of the disclosure selects K figure from candidate PDMA pattern matrix
The flow diagram of sample building target PDMA pattern matrix.
Fig. 4 is the structural schematic diagram of the configurations device of one embodiment of the disclosure.
Fig. 5 is the structural schematic diagram of the configurations device of one embodiment of the disclosure
Fig. 6 is the PDMA up-line system model schematic of one embodiment of the disclosure.
Fig. 7 is combination of 6 users of one embodiment of the disclosure according to target PDMA pattern matrix on single RE
Planisphere, wherein left figure is rotated without constellation angle, and right figure have passed through the rotation of best constellation rotation transform angle set.
Fig. 8 is one embodiment of the disclosure by best constellation rotation transform angle set rotation and without the constellation of rotation
Constrain capacity comparison schematic diagram.
Fig. 9 is that the process best constellation rotation transform angle set of one embodiment of the disclosure is rotated, rotated by random angles
With the PDMA uplink performance comparison schematic diagram without rotation processing.
Specific embodiment
The disclosure is described in further detail with embodiment with reference to the accompanying drawing.It is understood that this place
The specific embodiment of description is only used for explaining related content, rather than the restriction to the disclosure.It also should be noted that being
Convenient for description, part relevant to the disclosure is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the disclosure can
To be combined with each other.The disclosure is described in detail below with reference to the accompanying drawings and in conjunction with embodiment.
As shown in Figure 1, the pattern for pattern segmentation multiple access system (PDMA) of one embodiment of the disclosure is set
Meter method, comprising: be that K user constructs candidate's PDMA pattern matrix based on N number of RE in target resource group, wherein N for greater than
Natural number equal to 1, K are the natural number more than or equal to 1；And it is based on candidate's PDMA pattern matrix, construct target PDMA pattern
Matrix.
As shown in Fig. 2, the pattern for pattern segmentation multiple access system (PDMA) of one embodiment of the disclosure is set
Meter method, comprising: be that K user constructs candidate's PDMA pattern matrix, from candidate PDMA based on N number of RE in target resource group
K pattern building target PDMA pattern matrix is selected in pattern matrix.
As shown in figure 3, the pattern for pattern segmentation multiple access system (PDMA) of one embodiment of the disclosure is set
In meter method, K pattern building target PDMA pattern matrix is selected from candidate PDMA pattern matrix, comprising:
First row g of one column of random selection as target PDMA pattern matrix from candidate PDMA pattern matrix1, and will wait
Select in PDMA pattern matrix with g1Orthogonal pattern arranges g as (K/2+1) of target PDMA pattern matrixK/2+1, more fresh target
PDMA pattern matrix；
The g as target PDMA pattern matrix is deleted from candidate PDMA pattern matrix1Column and gK/2+1The pattern of column is simultaneously
Update candidate's PDMA pattern matrix；And
From selection in updated candidate's PDMA pattern matrix and each figure in updated target PDMA pattern matrix
The smallest pattern of the sum of inner product of sample, the kth column g as candidate PDMA pattern matrixk, and by candidate PDMA pattern matrix with
gkOrthogonal pattern arranges g as (K/2+k) of target PDMA pattern matrixK/2+k, until selecting K pattern, obtain target
PDMA pattern matrix, wherein k=2,3 ..., K/2.
For example, if having in a resource group has N number of RE (i.e. N number of resource), a total of 2N- 1 alternative PDMA figure
Sample, if there is K user, from this 2N- 1 PDMA patternIn select K pattern, constitute the PDMA under the system
Pattern matrixSelect from remaining candidate pattern matrix every time andIn selected pattern inner product
The sum of the smallest pattern, be put intoIn, until having selected K pattern.
According to PDMA system parameter, i.e. RE quantity N and number of users K, candidate PDMA pattern collection is obtainedAnd
Target PDMA pattern matrix
In accordance with one embodiment of the present disclosure, it is based on candidate's PDMA pattern matrix, constructs target PDMA pattern matrix, also
It include: that complete " 1 " pattern is deleted from candidate PDMA pattern matrix before constructing target PDMA pattern matrix.
It continues the example above, due to pattern not orthogonal with complete " 1 " pattern, so should be from candidate pattern matrix
It is deleted to obtain
Then a column conduct is randomly choosedFirst row g1, and will be with g1Orthogonal PDMA pattern conduct(K/2+1) arrange gK/2+1, and by two selected column fromMiddle deletion updates
For k=2,3 ..., K/2, selected from updated candidate pattern matrix every time withIn selected
The smallest pattern of the sum of the pattern inner product selected out, asKth column gk, and by candidate PDMA pattern matrix with gk
Orthogonal pattern arranges g as (K/2+k) of target PDMA pattern matrixK/2+k,Middle this two column of deleting update
It obtainsUntil selecting K pattern, target PDMA pattern matrix is obtained
In accordance with one embodiment of the present disclosure, number of users K is configured, so that K < 2N-1.Executing configurations method
It is initial, it is also necessary to the size of K is judged, if K > 2N- 1, then it represents that when RE quantity is N, K user can not share this simultaneously
One resource group.Therefore number of users K is needed to configure, so that K < 2N-1。
In accordance with one embodiment of the present disclosure, K user is divided by K/2 group based on the first principle；First principle are as follows:
So that two pattern orthogonal relationships in each group.
In accordance with one embodiment of the present disclosure, identical phase rotation coefficient is configured for the pattern in each group, is each
The different phase rotation coefficient of a group of configuration.
In accordance with one embodiment of the present disclosure, after obtaining target PDMA pattern matrix, based on constellation constraint capacity with
And the phase rotation coefficient of configuration, the rotation angle of each user is calculated, and then obtain the mesh comprising phase rotation coefficient
Mark PDMA pattern matrix.
In accordance with one embodiment of the present disclosure, the rotation angle of each user is calculated, comprising: maximize constellation about
Shu Rongliang obtains the optimal rotation angle collection Θ of K user*。
After obtaining target PDMA pattern matrix, capacity measurement standard is constrained using constellation to calculate the rotation angle of each user
The expression of degree, constellation constraint capacity belongs to the prior art, and details are not described herein for the disclosure.Constellation constraint appearance is maximized by calculating
Amount, obtains the best rotatable phase transform angle set Θ of K user*, and then obtain the target PDMA pattern comprising phase rotation coefficient
Matrix.By PDMA pattern selection scheme, multiple users are grouped and then reduced with inter-user interference and subsequent calculating is multiple
Miscellaneous degree；Calculating measurement standard of the capacity as phase rotation coefficient, further expansion actual capacity, so that more are constrained by constellation
User combines planisphere and approaches Gaussian Profile, obtains shaping constellation gain.
As shown in figure 4, the pattern for pattern segmentation multiple access system (PDMA) of one embodiment of the disclosure is set
Counter device 100, comprising: first processing module 11 is that K user constructs candidate PDMA figure based on N number of RE in target resource group
Sample matrix, wherein N is the natural number more than or equal to 1, and K is the natural number more than or equal to 1；And Second processing module 12, it is based on
Candidate PDMA pattern matrix constructs target PDMA pattern matrix.
In an embodiment of the disclosure, first processing module 11 is K based on N number of RE in target resource group
User constructs candidate's PDMA pattern matrix；Second processing module 12 selects K pattern building mesh from candidate PDMA pattern matrix
Mark PDMA pattern matrix.
In an embodiment of the disclosure, Second processing module 12 executes following step:
First row g of one column of random selection as target PDMA pattern matrix from candidate PDMA pattern matrix1, and will wait
Select in PDMA pattern matrix with g1Orthogonal pattern arranges g as (K/2+1) of target PDMA pattern matrixK/2+1, more fresh target
PDMA pattern matrix；
The g as target PDMA pattern matrix is deleted from candidate PDMA pattern matrix1Column and gK/2+1The pattern of column is simultaneously
Update candidate's PDMA pattern matrix；And
From selection in updated candidate's PDMA pattern matrix and each figure in updated target PDMA pattern matrix
The smallest pattern of the sum of inner product of sample, the kth column g as candidate PDMA pattern matrixk, and by candidate PDMA pattern matrix with
gkOrthogonal pattern arranges g as (K/2+k) of target PDMA pattern matrixK/2+k, until selecting K pattern, obtain target
PDMA pattern matrix, wherein k=2,3 ..., K/2.When K is odd number, for the extra user that cannot be divided exactly by 2, do not have
There is orthogonal pattern.
In an embodiment of the disclosure, before constructing target PDMA pattern matrix, first processing module 11 from
Complete " 1 " pattern is deleted in candidate PDMA pattern matrix.
In an embodiment of the disclosure, first processing module 11 configures number of users K, so that K < 2N-1。
In an embodiment of the disclosure, as shown in figure 5, configurations device 100 can also include that third is handled
Module 13, third processing module 13 are based on above-mentioned first principle and K user are divided into K/2 group.It is extra when K is odd number
One user is separately as a group (configuring a user) in the group.
In accordance with one embodiment of the present disclosure, third processing module 13 is that the pattern in each group configures identical phase
Twiddle factor is the different phase rotation coefficient of each group of configuration.
Since this K/2 is organized interior pattern orthogonal relationship, phase rotation coefficient corresponding to pattern is identical in group, group
Between it is different.By grouping, so that the phase rotation coefficient of K user of traversal search reduces half, computation complexity is reduced, is improved
Working efficiency.
In accordance with one embodiment of the present disclosure, after obtaining target PDMA pattern matrix, third processing module 13 is based on
Constellation constrains the phase rotation coefficient of capacity and configuration, and the rotation angle of each user is calculated, and then obtains comprising phase
The target PDMA pattern matrix of position twiddle factor.
In accordance with one embodiment of the present disclosure, third processing module 13 maximizes constellation and constrains capacity, obtains K use
The optimal rotation angle collection Θ at family*, and then obtain the target PDMA pattern matrix comprising phase rotation coefficient.
The pattern of different order of diversity should be made more as far as possible in PDMA pattern matrix, i.e. the different maximum of the pattern column method of double differences
Change, to mitigate the error propagation problem of SIC Multiuser Detection or shorten the convergence time of BP detection.Meanwhile if Overflow RateHT is greater than
100%, then there will necessarily be the pattern with identical order of diversity.If the inner product of two patterns is smaller, mean two patterns
It is few with less element " 1 ", that is, the RE that two kinds of patterns are shared in common location.Therefore, for identical order of diversity
Pattern, the inner product value between any two pattern should be minimized, to mitigate mutual interference.Equally, inner product is minimized
It is also applied for the pattern of different order of diversity.
The PDMA configurations method of the disclosure, the user for being multiplexed same resource group is grouped, further according to selection
PDMA pattern matrix calculates the best constellation rotation angle so that constellation constraint maximum capacity, carries out to PDMA pattern matrix excellent
Change, and then solve the fuzzy problem of combination constellation, reduces computation complexity, improve system performance.
Fig. 6 shows PDMA up-line system model.Fig. 7 shows 6 users and is existed according to target PDMA pattern matrix
Combination planisphere (actually having 3 users to be overlapped transmission on single RE) on single RE, wherein left figure is without constellation angle
Degree rotation, right figure have passed through the rotation of best constellation rotation transform angle set.Fig. 8 is by best constellation rotation transform angle set rotation and not
Constellation by rotation constrains capacity comparison schematic diagram, and the curve of top is to rotate transform angle set rotation processing by best constellation,
The curve of lower section is without rotation processing.Fig. 9 be by best constellation rotate transform angle set rotation, by random angles rotation and
Without the PDMA uplink performance comparison schematic diagram of rotation processing, wherein the curve of bottom passes through best constellation rotation angle
Degree collection rotation processing, for the curve of the top without rotation processing, intermediate curve passes through random angles rotation processing.
It should be appreciated that each section of the disclosure can be realized with hardware, software or their combination.In above-mentioned embodiment party
In formula, multiple steps or method can carry out reality in memory and by the software that suitable instruction execution system executes with storage
It is existing.It, and in another embodiment, can be in following technology well known in the art for example, if realized with hardware
Any one or their combination are realized: having a discrete logic for realizing the logic gates of logic function to data-signal
Circuit, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), field-programmable gate array
Arrange (FPGA) etc..
Those skilled in the art are understood that realize all or part of the steps of above embodiment method
It is that relevant hardware can be instructed to complete by program, the program can store in a kind of readable storage medium storing program for executing, should
Program when being executed, includes the steps that one or a combination set of method implementation.
In addition, can integrate in a processing module in each functional unit in each embodiment of the disclosure, it can also
To be that each unit physically exists alone, can also be integrated in two or more units in a module.It is above-mentioned integrated
Module both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module
If in the form of software function module realize and when sold or used as an independent product, also can store readable at one
In storage medium.The storage medium can be read-only memory, disk or CD etc..
In the description of this specification, reference term " an embodiment/mode ", " some embodiment/modes ",
The description of " example ", " specific example " or " some examples " etc. means the embodiment/mode or example is combined to describe specific
Feature, structure, material or feature are contained at least one embodiment/mode or example of the application.In this specification
In, schematic expression of the above terms are necessarily directed to identical embodiment/mode or example.Moreover, description
Particular features, structures, materials, or characteristics can be in any one or more embodiment/modes or example in an appropriate manner
In conjunction with.In addition, without conflicting with each other, those skilled in the art can be by different implementations described in this specification
Mode/mode or example and different embodiments/mode or exemplary feature are combined.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present application, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
It will be understood by those of skill in the art that above embodiment is used for the purpose of clearly demonstrating the disclosure, and simultaneously
Non- be defined to the scope of the present disclosure.For those skilled in the art, may be used also on the basis of disclosed above
To make other variations or modification, and these variations or modification are still in the scope of the present disclosure.
Claims (10)
1. configurations method of the one kind for pattern segmentation multiple access system (PDMA), comprising:
It is that K user constructs candidate's PDMA pattern matrix, wherein N is more than or equal to 1 based on N number of RE in target resource group
Natural number, K are the natural number more than or equal to 1；And
Based on candidate's PDMA pattern matrix, target PDMA pattern matrix is constructed.
2. configurations method according to claim 1, which is characterized in that be based on candidate's PDMA pattern matrix, structure
Build target PDMA pattern matrix, comprising: select K pattern from candidate's PDMA pattern matrix and construct the target PDMA figure
Sample matrix.
3. configurations method according to claim 2, which is characterized in that selected from candidate's PDMA pattern matrix
K pattern constructs the target PDMA pattern matrix, comprising:
First row g of one column of random selection as the target PDMA pattern matrix from candidate's PDMA pattern matrix1, and
By in candidate PDMA pattern matrix with g1Orthogonal pattern arranges g as (K/2+1) of target PDMA pattern matrixK/2+1, update
The target PDMA pattern matrix；
The g as target PDMA pattern matrix is deleted from candidate's PDMA pattern matrix1Column and gK/2+1The pattern of column is simultaneously
Update candidate's PDMA pattern matrix；And
From selection in updated candidate's PDMA pattern matrix and each pattern in updated target PDMA pattern matrix
The smallest pattern of the sum of inner product, the kth column g as candidate PDMA pattern matrixk, and by candidate PDMA pattern matrix with gkJust
The pattern of friendship arranges g as (K/2+k) of target PDMA pattern matrixK/2+k, until selecting K pattern, obtain target PDMA
Pattern matrix, wherein k=2,3 ..., K/2.
4. configurations method according to claim 2 or 3, which is characterized in that it is based on candidate's PDMA pattern matrix,
Construct target PDMA pattern matrix, further includes: before constructing target PDMA pattern matrix, from candidate's PDMA pattern matrix
It is middle to delete complete " 1 " pattern.
5. configurations method according to claim 3, which is characterized in that K user is divided into K/2 based on the first principle
A group；First principle are as follows: so that two pattern orthogonal relationships in each group.
6. configurations method according to claim 5, which is characterized in that configure identical phase for the pattern in each group
Position twiddle factor is the different phase rotation coefficient of each group of configuration.
7. configurations method according to claim 6, which is characterized in that obtain the target PDMA pattern matrix it
Afterwards, the phase rotation coefficient that capacity and configuration are constrained based on constellation, is calculated the rotation angle of each user, in turn
Obtain the target PDMA pattern matrix comprising phase rotation coefficient.
8. configurations method according to claim 7, which is characterized in that the rotation angle of each user is calculated,
Include: to maximize the constellation constraint capacity, obtains the optimal rotation angle collection Θ of K user*。
9. configurations method according to any one of claim 1 to 8, which is characterized in that configuration number of users K makes
Obtain K < 2N-1。
10. configurations device of the one kind for pattern segmentation multiple access system (PDMA), comprising:
First processing module is that K user constructs candidate's PDMA pattern matrix based on N number of RE in target resource group, wherein N
For the natural number more than or equal to 1, K is the natural number more than or equal to 1；And
Second processing module is based on candidate's PDMA pattern matrix, constructs target PDMA pattern matrix.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910117737.4A CN110022198B (en) | 2019-02-15 | 2019-02-15 | Pattern selection and design optimization method of pattern division multiple access technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910117737.4A CN110022198B (en) | 2019-02-15 | 2019-02-15 | Pattern selection and design optimization method of pattern division multiple access technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110022198A true CN110022198A (en) | 2019-07-16 |
| CN110022198B CN110022198B (en) | 2020-07-24 |
Family
ID=67188956
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910117737.4A Active CN110022198B (en) | 2019-02-15 | 2019-02-15 | Pattern selection and design optimization method of pattern division multiple access technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110022198B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105763301A (en) * | 2014-12-19 | 2016-07-13 | 电信科学技术研究院 | Multi-user code superposition-based code matrix determining method and device |
| US20180205506A1 (en) * | 2015-08-06 | 2018-07-19 | China Academy Of Telecommunications Technology | Data transmission method and device |
| CN109150769A (en) * | 2017-06-13 | 2019-01-04 | 华为技术有限公司 | Method and apparatus for channel estimation |
-
2019
- 2019-02-15 CN CN201910117737.4A patent/CN110022198B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105763301A (en) * | 2014-12-19 | 2016-07-13 | 电信科学技术研究院 | Multi-user code superposition-based code matrix determining method and device |
| US20180205506A1 (en) * | 2015-08-06 | 2018-07-19 | China Academy Of Telecommunications Technology | Data transmission method and device |
| CN109150769A (en) * | 2017-06-13 | 2019-01-04 | 华为技术有限公司 | Method and apparatus for channel estimation |
Non-Patent Citations (3)
| Title |
|---|
| REN,BIN: ""Pattern Matrix Design of PDMA for 5G UL Applications"", 《CHINA COMMUNICATIONA》 * |
| 任斌: ""面向5G的图样分割非正交多址接入（PDMA）关键技术研究"", 《中国博士学位论文全文数据库》 * |
| 康绍莉: ""面向5G的PDMA图样分割多址接入技术"", 《电信网技术》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110022198B (en) | 2020-07-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105094707B (en) | A kind of data storage, read method and device | |
| CN109255829A (en) | Mixing level for ray trace | |
| CN104936186B (en) | Cognitive radio network spectrum allocation method based on cuckoo searching algorithm | |
| CN104657418B (en) | A kind of complex network propagated based on degree of membership obscures corporations' method for digging | |
| CN106209989B (en) | Spatial data concurrent computational system and its method based on spark platform | |
| CN104734954B (en) | A kind of route determining methods and device for software defined network | |
| US20190044806A1 (en) | Systems and methods for managing a cloud deployed service | |
| CN103338464B (en) | Communication means and equipment | |
| CN109831286A (en) | A kind of control channel transmission method and device | |
| KR102268676B1 (en) | 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions | |
| Yu et al. | Artificial bee colony algorithm with an adaptive greedy position update strategy | |
| CN105718245B (en) | Reconfigurable Computation cyclic mapping optimization method | |
| CN107391549A (en) | News based on artificial intelligence recalls method, apparatus, equipment and storage medium | |
| Cavoretto et al. | Partition of unity methods for signal processing on graphs | |
| CN107223237A (en) | Method and apparatus for memory access | |
| CN105940373A (en) | Format conversion during load/store operations in vector processor | |
| CN106295803A (en) | The construction method of deep neural network | |
| Guo et al. | The parameterized complexity of local search for TSP, more refined | |
| Vinay Kumar et al. | Multi-culture diversity based self adaptive particle swarm optimization for optimal floorplanning | |
| Kovács et al. | Optimisation of the coalescent hyperbolic embedding of complex networks | |
| CN108631790A (en) | A kind of LDPC code building method and device | |
| CN110022198A (en) | A kind of pattern divides pattern selection and the design optimization method of multiple access technique | |
| CN106227515A (en) | A kind of information processing method and server | |
| Chaurasia et al. | A hybrid heuristic for dominating tree problem | |
| CN107046448A (en) | The method and device that a kind of MIMO OTA three dimensional channels spatial character is reappeared |
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 |