CN105337701B - A kind of chain circuit self-adaptive method and device for descending multi-user mimo system - Google Patents
A kind of chain circuit self-adaptive method and device for descending multi-user mimo system Download PDFInfo
- Publication number
- CN105337701B CN105337701B CN201410389896.7A CN201410389896A CN105337701B CN 105337701 B CN105337701 B CN 105337701B CN 201410389896 A CN201410389896 A CN 201410389896A CN 105337701 B CN105337701 B CN 105337701B
- Authority
- CN
- China
- Prior art keywords
- user equipment
- cqi
- multiple user
- beam forming
- filtering
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Mobile Radio Communication Systems (AREA)
- Radio Transmission System (AREA)
Abstract
The object of the present invention is to provide a kind of method and apparatus for the link circuit self-adapting for descending multi-user mimo system；It calculates separately on any position PRB, for the set of any one multiple user equipment that may be matched, determines the beam forming weight matrix of each user equipment in the set；The comparison result of the filtering CQI and CQI threshold value of multiple user equipmenies based on the set, determine the wave beam forming normalized weight matrix of each user equipment in multiple user equipment；Wave beam forming normalized weight set of matrices based on multiple user equipment, in conjunction with the original CQI that multiple user equipment is respectively reported, determine each user equipment in multiple user equipment estimates CQI.Compared with prior art, the present invention overcomes the limitation of the transimission power of each transmitting antenna, the interference between user equipment is efficiently solved, the MCS selection under MU-MIMO mode is greatly improved, to help to improve system throughput.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of links for for descending multi-user mimo system certainly
Appropriate technology.
Background technique
In DL MU-MIMO (Downlink Multi-User Multi-In Multi-Out, the downlink chain of future enhancing
Road multi-user's multiple-input and multiple-output) in system, answered in the same PRB (Physical Resource Block, Physical Resource Block)
Support multiple pairing users, each pairing user that will dispatch one or more layers data flow.In this way, in DL MU-MIMO system,
Multiuser interference (Multi-User Interference, MUI) will affect the final total throughout of system.
So far, MET (Multi-user Eigen-mode Transmission, the transmission of multi-user features mode),
As a kind of typical DL MU-MIMO algorithm, pass through the feature mode of each pairing user of combined dispatching (or layer or data
Stream), the capacity limit of DL MU-MIMO can be approached.But when actually using the MET algorithm, usually there are two important vacations
If.
First is to maintain the constant limitation of total emission power.However at true RF (Radio Frequency, radio frequency)
In system, preferably abides by every antenna maximum transmission power and limit.In this way, generally needing to final DL BF (Beam-
Forming, wave beam forming) weight is normalized.Although the operation keeps energy not suffer a loss, inter-layer data stream will be destroyed
Orthogonality, to reduce system performance.Second is σ in formula2, that is, it is come from what eNB hypothesis user terminal was observed
The noise of his neighboring community and interference are that AWGN (Additive White Gaussian Noise, additive white Gaussian noise) is believed
Number.In true DL system, either FDD (Frequency Division Duplex, frequency division duplex) or TDD (Time
Division Duplex, time division duplex) system, unless being otherwise difficult to know the letter with the explicit feedback for carrying out self terminal
Breath.Currently, few articles optimize or illustrate these problems.
Therefore, we devise one kind for descending multi-user mimo system, consider how to overcome disadvantages mentioned above, enhancing
Link adaptation techniques.
Summary of the invention
The object of the present invention is to provide it is a kind of for for descending multi-user mimo system link circuit self-adapting method with
Device.
According to an aspect of the invention, there is provided a kind of link circuit self-adapting side for descending multi-user mimo system
Method, wherein method includes the following steps:
A is calculated separately on any position PRB, for the set of any one multiple user equipment that may be matched, is determined
The beam forming weight matrix of each user equipment in the set；
Filtering CQI (channel quality instruction, the Channel Quality of multiple user equipmenies of the b based on the set
Indicator) with the comparison result of CQI threshold value, determine that the wave beam forming of each user equipment in the multiple user equipment is returned
One changes weight matrix；
Wave beam forming normalized weight set of matrices of the c based on the multiple user equipment, sets in conjunction with the multiple user
The standby original CQI respectively reported, determine each user equipment in the multiple user equipment estimates CQI.
According to another aspect of the present invention, a kind of link circuit self-adapting dress for descending multi-user mimo system is additionally provided
It sets, wherein the device includes:
Computing device, for calculating separately any position PRB, the multiple user equipmenies that may be matched for any one
Set, determine the beam forming weight matrix of each user equipment in the set；
Normalized device, filtering CQI for multiple user equipmenies based on the set knot compared with CQI threshold value
Fruit determines the wave beam forming normalized weight matrix of each user equipment in the multiple user equipment；
Estimating device, for the wave beam forming normalized weight set of matrices based on the multiple user equipment, in conjunction with institute
The original CQI that multiple user equipmenies are respectively reported is stated, determines estimating for each user equipment in the multiple user equipment
CQI。
According to another aspect of the invention, a kind of eNB, including device as described above are additionally provided.
Compared with prior art, the present invention proposes a kind of adaptive wave beam forming power of the DL MU-MIMO system of enhancing
Re-computation method, which overcome the limitations of the transimission power of each transmitting antenna, meanwhile, the beam forming weight building based on update
A kind of link adaptation mechanism of robust.With the development of wireless communication technique, the program is suitable for the DLMU- of the following enhancing
MIMO transmission, for example, 5G or system further below.To the MU-MIMO transmission of future enhancing, on same PRB, each user
User is matched with higher layer or more.Adaptive wave beam shaping weighing computation method based on DL MU-MIMO effectively solves
Interference between user equipment, to greatly improve the MCS selection under the MU-MIMO mode.From the point of view of simulation results,
Difference between the opposite user terminal original CQI reported and the demodulation symbol SINR namely post-SINR of user equipment, more
After new, namely the difference estimated between CQI and the final demodulation symbol SINR of user is substantially reduced.In other words, estimating CQI will more
Matching user finally demodulates SINR well, to do MCS selection based on CQI is estimated in base station end, will greatly improve system throughput
Rate, to give full play to capacity gain brought by the pairing of MU-MIMO.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, of the invention other
Feature, objects and advantages will become more apparent upon:
Fig. 1 shows the side for the link circuit self-adapting for descending multi-user mimo system of one aspect according to the present invention
Method flow chart；
Fig. 2 shows the link for being directed to descending multi-user mimo system in accordance with a preferred embodiment of the present invention is adaptive
The schematic diagram answered；
Fig. 3 shows the link for being directed to descending multi-user mimo system of another preferred embodiment according to the present invention certainly
The schematic diagram of adaptation；
Fig. 4 shows the link for being directed to descending multi-user mimo system of another preferred embodiment according to the present invention certainly
The schematic diagram of adaptation；
Fig. 5 shows the link circuit self-adapting for being directed to descending multi-user mimo system according to a further aspect of the present invention
Schematic device.
The same or similar appended drawing reference represents the same or similar component in attached drawing.
Specific embodiment
Present invention is further described in detail with reference to the accompanying drawing.
Fig. 1 shows the side for the link circuit self-adapting for descending multi-user mimo system of one aspect according to the present invention
Method flow chart.
In step s101, device 1 calculates separately on any position PRB, the multiple use that may be matched for any one
The set of family equipment determines the beam forming weight matrix of each user equipment in the set.
Specifically, in descending multi-user mimo system, on any one position PRB, multiple user equipment has
A variety of possible matching methods, for the set of any one multiple user equipment that may be matched, device 1 is determined in the set
The beam forming weight matrix of each user equipment.
Here, such as eNB of device 1.In the following description, for the sake of simplicity, by taking eNB as an example.
In step s 102, the filtering CQI of multiple user equipmenies of the device 1 based on the set is compared with CQI threshold value
As a result, determining the wave beam forming normalized weight matrix of each user equipment in the multiple user equipment.
Specifically, a variety of possible matching methods having for multiple user equipment, device 1 is for each of these
The matching method of kind, that is, the set for multiple user equipmenies that device 1 may be matched for each of them determines the set
Filtering CQI is compared by the filtering CQI of multiple user equipmenies with CQI threshold value in turn, is somebody's turn to do based on this comparison as a result, determining
The wave beam forming normalized weight matrix of each user equipment in multiple user equipmenies.
Here, CQI threshold value is for being compared with filtering CQI to determine that the CQI value in a manner of normalization, value can be
System intialization, also it can be adjusted according to the actual situation.
Preferably, in step s 102, when the filtering CQI is greater than the CQI threshold value, device 1 is to the multiple user
The beam forming weight matrix of each user equipment in equipment chooses power greatest member in its beam forming weight matrix, right
All elements are normalized in its beam forming weight matrix, obtain the wave beam forming normalized weight matrix.
When the filtering CQI is less than the CQI threshold value, device 1 is to each user equipment in the multiple user equipment
Beam forming weight matrix carries out respectively independent normalization to all elements in its beam forming weight matrix, obtains the wave
Beam figuration normalized weight matrix.
Specifically, it is G that device 1, which obtains the BF weight of user equipment k,k:M×|εk|, meet Gk×G'k=IMOrIn other words, this is that a kind of row is orthogonal or column orthogonal matrix, abides by general power restriction rule.
In true RF system, needs to abide by every antenna maximum transmission power and limit.In this way, being considered as final DL BF
Weight matrix GkNormalization.Once normalization will destroy the orthogonality between layer.
Here, device 1 executes a kind of adaptive MU-MIMO beam forming weight method.Device 1 may for each
Pairing multiple user equipmenies set, determine the filtering CQI of multiple user equipmenies of the set, in turn, by filtering CQI with
CQI threshold value is compared.When filtering CQI is greater than the CQI threshold value, device 1 is to each user equipment in multiple user equipment
Beam forming weight matrix, power greatest member in its beam forming weight matrix is chosen, to its beam forming weight matrix
Middle all elements are normalized, that is, (Gk)j=(Gk)j/abs(max(Gk)j), j ∈ [1... | εk|], (g)jIndicate the of (g)
J column, obtain the wave beam forming normalized weight matrix.When filtering CQI is less than the CQI threshold value, device 1 is to multiple user
The beam forming weight matrix of each user equipment in equipment carries out all elements in its beam forming weight matrix respectively only
Vertical normalization, that is, (Gk)i,j=(Gk)i,j/abs((Gk)i,j), i ∈ [1...M], j ∈ [1... | εk|], (g)i,jIndicate (g)
I-th j element obtains the wave beam forming normalized weight matrix.Using the adaptive transformation mechanism, will greatly improve
The accuracy of CQI is estimated to user equipment, to help to improve the final handling capacity of system.
Those skilled in the art will be understood that the mode of the wave beam forming normalized weight matrix of above-mentioned determining user equipment
It is only for example, other modes of the wave beam forming normalized weight matrix of determination user equipment that are existing or being likely to occur from now on
It is such as applicable to the present invention, should also be included within the scope of protection of the present invention, and is incorporated herein by reference.
In step s 103, wave beam forming normalized weight set of matrices of the device 1 based on the multiple user equipment, knot
The original CQI that the multiple user equipment is respectively reported is closed, determines the pre- of each user equipment in the multiple user equipment
Estimate CQI.
Specifically, in step s 102, comparison result of the device 1 based on filtering CQI and CQI threshold value, determines multiple users
The wave beam forming normalized weight matrix of each user equipment determines the wave beam forming of multiple user equipment in turn in equipment
Normalized weight set of matrices, in step s 103, device 1 are based on the wave beam forming normalized weight set of matrices, in conjunction with this
The original CQI that multiple user equipmenies are respectively reported, determine each user equipment in multiple user equipment estimates CQI.
Preferably, in step s 103, device 1 is based on wave beam forming normalized weight square described in the multiple user equipment
Battle array set in conjunction with the original CQI that the multiple user equipment is respectively reported, and combines each use in the multiple user equipment
The inter-stream interference of family equipment oneself and its may match is interfered between user equipment, is determined that the multiple user equipment is respective and is estimated
CQI。
Specifically, at the end eNB, for any cost partition size, such as certain PRB, in carrying out MU-MIMO scheduling process,
Set is matched for any one possible multi-user, is assigned the wave beam for obtaining every user equipment in the set using the above method
Shape normalized weight matrix.Then, for the user equipment in the set, CQI is accurately estimated as far as possible, based on certain
Multi-user match criterion, such as capacity maximum etc., can gather from multiple pairing users in select one to gather as the PRB
Multi-user match set.In all resources, after terminating such as PRB distribution, for each user, the resource distributed based on it
And its CQI value set estimated, carry out link circuit self-adapting namely MCS selection.It can be seen that on the one hand having changed multi-user
It chooses, optimizes the MCS of these users, on the other hand so as to improve the final handling capacity of system.
Assuming that at the end eNB, the reception signal of user equipment k are as follows:
The receiver of user equipment k is Mk, by receiver, converted in the reception signal of eNB, user k are as follows:Assuming that
In this way, the than the m-th data subflow of user equipment k estimate CQI namely SINR (Signal to Interference plus Noise Ratio) is represented by formula (1):
Formula (1) is inverted, that is, there are formula (2):
In formula (2), first item is that (Inter Stream Interference is done between stream by the ISI of user equipment k
Disturb), Section 2 is the MUI (Multi User Interference inter-user interference) of user equipment k, this two, can all given
Determine to obtain in the case of multi-user matches set.Due to the normalization operation of beam forming weight,To most
Whole user equipment receives in signal, during calculating such as symbol demodulation SINR, will introduce ISI and/or MUI.Here, from
It is found that top priority is to obtain in formula (2)
By taking CQI reports mode 3-0 as an example, for example in downlink 8-Tx (transmitting) antenna system, user equipment k is reported
At user equipment end, according to 3GPP protocol specification, when calculating oneself report CQI, regardless of whether in multi-purpose
Family mode.
In the DL system of 8-Tx antenna, it is assumed that for 3GPP R8/R9 user, generally use 2CRS (Cell-
Specific Reference Signal, cell determine reference signal) port calculates CQI/PMI/RI, here,b0/b1| 4 × 1 be broadcast weight, pCRSportIt is the transmission power on a port CRS.
It is the channel estimation at user equipment end.
σ at user equipment end2Including from other neighboring communities noise and interference.
In base station end, the original CQI that user equipment k is reportedkThe corresponding CQI of certain layer data subflow is converted to, that is, is had:
CQIk,m=CQIk×CRS_port_num/(|εk| × K), CRS_port_num=2 is CRS port number, | εk|
It is the number of plies or substream of data number of the scheduling of user equipment k, K is the final pairing number of users on a PRB.
SettingThe then CQI' adjusted of the than the m-th data subflow of user equipment kk,mIt can be with table
It is shown as following formula (3):
In formula (3)Being user equipment k is based on UL SRS (Uplink Sounding Reference in eNB
Signal, uplink inquire after reference signal) channel estimation.In a tdd system, it usually assumes thatBased on this, formula
It (3) can be with approximate representation for following formula (4):
In formula (4), vk,mThe power of the than the m-th data stream of user equipment k is distributed in expression, for the sake of simplicity it is assumed that
Average power allocation is carried out between the data flow of all scheduling, but is not limited to constant power distribution.
Formula (4) are substituted into formula (2), the than the m-th data stream of user equipment k estimates that CQI namely SINR is rewritable to be
Following formula (5):
So far, what device 1 can be calculated user equipment k estimates CQI.And the device 1 can same calculation,
Obtain each user equipment in multiple user equipmenies estimates CQI.
Preferably, this method further includes step S104 (not shown).In step S104, device 1 is based on the multiple use
Equipment multiple CQI that respectively independent timesharing reports in family determine the respective independent mistake of the multiple user equipment through filters filter
Filter CQI；According to the independent filtering CQI set of the multiple user equipment, the filtering CQI is determined.
Specifically, respectively independent timesharing reports CQI to multiple user equipmenies, and device 1 is to receive multiple user equipment each
From after the CQI that independent timesharing reports, using filter, the multiple CQI reported respectively to each user equipment timesharing carry out flat
Filter is slipped over, determines the independent filtering CQI of each user equipment；The independent filtering CQI of this multiple user equipment forms independent mistake
CQI set is filtered, then, which independently filters from this in CQI set, determines filtering CQI, such as determining based on following rules should
The filtering CQI of multiple user equipmenies.
It is highly preferred that determining that the rule of the filtering CQI is based on following at least any one:
The independent filtering CQI of minimum in the independent filtering CQI set of the multiple user equipment is chosen as the filtering
CQI；
The average value of independent filtering CQI set of the multiple user equipment is chosen as the filtering CQI.
Specifically, the independent filtering CQI of multiple user equipmenies forms independent filtering CQI set, and device 1 is from the independent mistake
It filters in CQI set, filtering CQI of the independent filtering CQI of minimum as multiple user equipment in the set is chosen, alternatively, dress
The independence for setting the multiple user equipment of 1 calculating filters the average value of CQI, the average value gathered using independently filtering CQI as this, into
And using the average value as the filtering CQI of multiple user equipment.Then, which carries out filtering CQI and CQI threshold value
Compare, the beam forming weight matrix of each user equipment in multiple user equipment is returned as a result, determining based on this comparison
One changes mode, to obtain the wave beam forming normalized weight matrix of each user equipment.
Those skilled in the art will be understood that the mode of the filtering CQI of the multiple user equipmenies of above-mentioned determination is only for example,
The mode of the filtering CQI of his the multiple user equipmenies of determination that is existing or being likely to occur from now on is such as applicable to the present invention, also answers
Within the scope of the present invention, and it is incorporated herein by reference.
Preferably, this method further includes step S105 (not shown).In step s105, on any position PRB
All possible multi-user matches each set in set, device 1 calculate in the set every user wave beam shape-endowing weight value and its
CQI is estimated, pairing criterion is then based on, selects a kind of set from the set of multiple user equipmenies of all possible pairings, really
The fixed collection is combined into the final pairing user device set on the specified position PRB.
Specifically, in descending multi-user mimo system, on any one position PRB, multiple user equipment has
A variety of possible matching methods, device 1 are determined in all possible pairing sets conjunctions, in each set by executing above-mentioned steps
Each user equipment estimates CQI in multiple user equipmenies, and in step s105, device 1 is estimated according to these user equipmenies
CQI is selected a kind of set from the set of multiple user equipmenies of all possible pairings, is determined the set based on pairing criterion
To specify the final pairing user device set on the position PRB.Here, the pairing criterion such as maximum throughput principle e.g. will
Original CQI estimates CQI namely SINR etc. and is converted into capacity, if the set of multiple user equipmenies from all possible pairings
In select a kind of set, multiple user equipmenies in the set are paired together so that the handling capacity of system is maximum, then by the collection
Close the final pairing user device set being determined as on the specified position PRB.
Preferably, this method further includes step S106 (not shown).In step s 106, device 1 is according to the multiple use
Family equipment is respectively described to estimate CQI, is the respective MCS of the multiple user device configuration in conjunction with the PRB set respectively distributed
(Modulation Coding Set, modulating-coding collection).
Specifically, determine each user equipment on the PRB resource location scheduled in it estimate CQI after, in step
In rapid S106, device 1 estimates CQI according to multiple user equipment is respective, more for this in conjunction with the PRB set respectively distributed
A respective MCS of user device configuration.Link circuit self-adapting, i.e. MCS are done in the CQI set of estimating based on above-mentioned corresponding every user
Selection, so that relative usage original CQI does MCS selection, it is clear that the MCS that the latter chooses can more embody actually connecing for user terminal
Receipts ability is also more preferably adapted to wireless channel conditions, to play the advantage of DL MU-MIMO system.
Fig. 2 shows using above-mentioned mechanism to simulation results shown in Fig. 4, that is, using estimating CQI, i.e. SINR'k,m
MCS is configured, there is apparent advantage.
Fig. 2 and Fig. 3, which is provided, independently to be normalized based on every element and based on the normalized ability comparison of greatest member.From figure
In as can be seen that in the high region SINR, more preferably based on the normalized ability of greatest member, however, in the low region SINR, based on every
Element independently normalizes more preferably.
Here, the beam forming weight matrix i.e. to each user equipment is independently normalized based on every element, to its wave beam
All elements carry out respectively independent normalization in forming weights matrix.
Based on greatest member normalization i.e. to the beam forming weight matrix of each user equipment, its wave beam forming power is chosen
Power greatest member in weight matrix, is normalized all elements in its beam forming weight matrix.
Fig. 4 is the original CQI and estimate CQI and final symbol demodulation SINR that user reports under two kinds of normalization schemes, i.e.,
The comparison of post-SINR.It is assumed here that a total of 4 user equipmenies, each one layer data of user device transmissions.Comparison can be with
It was found that the normalization based on greatest member is estimated CQI and is more matched with post-SINR in the upper region of SINR, this is because,
In the upper region of SINR, inter-user interference, that is, MUI account for it is leading, thus, beam forming weight matrix is returned using greatest member
One changes, although there is energy loss, can keep orthogonality between user.In SINR low region, influence of noise is very big, is based on every member
Element normalization, maintains energy and does not lose, although destroying orthogonality, thus, it can also obtain preferable matching.
Here, device 1 calculates separately on any position PRB, for any one multiple user equipment that may be matched
Set, determines the beam forming weight matrix of each user equipment in the set；The mistake of multiple user equipmenies based on the set
The comparison result for filtering CQI and CQI threshold value, determines the wave beam forming normalized weight of each user equipment in multiple user equipment
Matrix；Wave beam forming normalized weight set of matrices based on multiple user equipment, in conjunction with the respective institute of multiple user equipment
The original CQI reported, determine each user equipment in multiple user equipment estimates CQI.
It is proposed a kind of adaptive beam forming weight calculation method of the DL MU-MIMO system of enhancing, which overcome every
The transimission power of a transmitting antenna limits, meanwhile, the link that the beam forming weight based on update constructs a kind of robust is adaptive
Answer mechanism.With the development of wireless communication technique, the program is suitable for the DL MU-MIMO transmission of the following enhancing, for example, 5G or
System further below.To the MU-MIMO transmission of future enhancing, on same PRB, each user has higher layer or more
Match user.Adaptive wave beam shaping weighing computation method based on DL MU-MIMO efficiently solves dry between user equipment
It disturbs, to greatly improve the MCS selection under MU-MIMO mode.From the point of view of simulation results, opposite user terminal is reported
Original CQI and user equipment demodulation symbol SINR namely post-SINR between difference, after update, namely estimate CQI
Difference between the demodulation symbol SINR final with user is substantially reduced.In other words, user's last solution will more preferably be matched by estimating CQI
Adjust SINR that will greatly improve system throughput to do MCS selection based on CQI is estimated in base station end, to give full play to
Capacity gain brought by the pairing of MU-MIMO.
Fig. 5 shows the link circuit self-adapting for being directed to descending multi-user mimo system according to a further aspect of the present invention
Schematic device.Device 1 includes computing device 501, normalized device 502 and estimating device 503.
Computing device 501 is set for calculating separately any position PRB for any one multiple user that may be matched
Standby set determines the beam forming weight matrix of each user equipment in the set.
Specifically, in descending multi-user mimo system, on any one position PRB, multiple user equipment has
A variety of possible matching methods, for the set of any one multiple user equipment that may be matched, computing device 501 determines should
The beam forming weight matrix of each user equipment in set.
Here, such as eNB of device 1.In the following description, for the sake of simplicity, by taking eNB as an example.
Normalized device 502 for multiple user equipmenies based on the set filtering CQI compared with CQI threshold value knot
Fruit determines the wave beam forming normalized weight matrix of each user equipment in the multiple user equipment.
Specifically, a variety of possible matching methods having for multiple user equipment, normalized device 502 are directed to it
In the matching method of each, that is, the collection for multiple user equipmenies that normalized device 502 may be matched for each of them
It closes, determines the filtering CQI of multiple user equipmenies of the set, in turn, filtering CQI is compared with CQI threshold value, being based on should
Comparison result determines the wave beam forming normalized weight matrix of each user equipment in multiple user equipment.
Here, CQI threshold value is for being compared with filtering CQI to determine that the CQI value in a manner of normalization, value can be
System intialization, also it can be adjusted according to the actual situation.
Preferably, when the filtering CQI is greater than the CQI threshold value, normalized device 502 is in the multiple user equipment
The beam forming weight matrix of each user equipment chooses power greatest member in its beam forming weight matrix, to its wave beam
All elements are normalized in forming weights matrix, obtain the wave beam forming normalized weight matrix.
When the filtering CQI is less than the CQI threshold value, normalized device 502 is to each use in the multiple user equipment
The beam forming weight matrix of family equipment carries out respectively independent normalization to all elements in its beam forming weight matrix, obtains
Obtain the wave beam forming normalized weight matrix.
Specifically, it is G that normalized device 502, which obtains the BF weight of user equipment k,k:M×|εk|, meet Gk×G'k=IMOrIn other words, this is that a kind of row is orthogonal or column orthogonal matrix, abides by general power restriction rule.
In true RF system, needs to abide by every antenna maximum transmission power and limit.In this way, being considered as final DL BF
Weight matrix GkNormalization.Once normalization will destroy the orthogonality between layer.
Here, normalized device 502 executes a kind of adaptive MU-MIMO beam forming weight method.Normalized device
502 are directed to the set of each multiple user equipment that may be matched, and determine the filtering CQI of multiple user equipmenies of the set,
In turn, filtering CQI is compared with CQI threshold value.When filtering CQI is greater than the CQI threshold value, normalized device 502 is to this
It is maximum to choose power in its beam forming weight matrix for the beam forming weight matrix of each user equipment in multiple user equipmenies
Element is normalized all elements in its beam forming weight matrix, that is, (Gk)j=(Gk)j/abs(max(Gk)j), j ∈
[1...|εk|], (g)jThe jth column for indicating (g), obtain the wave beam forming normalized weight matrix.It is somebody's turn to do when filtering CQI is less than
CQI threshold value, normalized device 502 is to the beam forming weight matrix of each user equipment in multiple user equipment, to its wave
All elements carry out respectively independent normalization in beam forming weights matrix, that is, (Gk)i,j=(Gk)i,j/abs((Gk)i,j), i ∈
[1...M],j∈[1...|εk|], (g)i,jI-th j element for indicating (g), obtains the wave beam forming normalized weight square
Battle array.Using the adaptive transformation mechanism, the accuracy of CQI is estimated to user equipment by greatly improving, to facilitate
The final handling capacity of raising system.
Those skilled in the art will be understood that the mode of the wave beam forming normalized weight matrix of above-mentioned determining user equipment
It is only for example, other modes of the wave beam forming normalized weight matrix of determination user equipment that are existing or being likely to occur from now on
It is such as applicable to the present invention, should also be included within the scope of protection of the present invention, and is incorporated herein by reference.
Estimating device 503 is used for the wave beam forming normalized weight set of matrices based on the multiple user equipment, in conjunction with
The original CQI that the multiple user equipment is respectively reported determines estimating for each user equipment in the multiple user equipment
CQI。
Specifically, comparison result of the estimating device 503 based on filtering CQI and CQI threshold value determines every in multiple user equipmenies
The wave beam forming normalized weight matrix of a user equipment determines the wave beam forming normalization power of multiple user equipment in turn
Weight set of matrices, estimating device 503 are based on the wave beam forming normalized weight set of matrices, respectively in conjunction with multiple user equipment
The original CQI reported, determine each user equipment in multiple user equipment estimates CQI.
Preferably, estimating device 503 is based on wave beam forming normalized weight set of matrices described in the multiple user equipment,
In conjunction with the original CQI that the multiple user equipment is respectively reported, and combine each user equipment in the multiple user equipment
The inter-stream interference of oneself and its may match is interfered between user equipment, is determined that the multiple user equipment is respective and is estimated CQI.
Specifically, at the end eNB, for any cost partition size, such as certain PRB, in carrying out MU-MIMO scheduling process,
Set is matched for any one possible multi-user, is assigned the wave beam for obtaining every user equipment in the set using the above method
Shape normalized weight matrix.Then, for the user equipment in the set, CQI is accurately estimated as far as possible, based on certain
Multi-user match criterion, such as capacity maximum etc., can gather from multiple pairing users in select one to gather as the PRB
Multi-user match set.In all resources, after terminating such as PRB distribution, for each user, the resource distributed based on it
And its CQI value set estimated, carry out link circuit self-adapting namely MCS selection.It can be seen that on the one hand having changed multi-user
It chooses, the MCS of these users is on the other hand optimized, to improve the final handling capacity of system.
Assuming that at the end eNB, the reception signal of user equipment k are as follows:
The receiver of user equipment k is Mk, by receiver, converted in the reception signal of eNB, user k are as follows:Assuming that
In this way, the than the m-th data subflow of user equipment k estimate CQI namely SINR (Signal to Interference plus Noise Ratio) is represented by formula (1):
Formula (1) is inverted, that is, there are formula (2):
In formula (2), first item is that (Inter Stream Interference is done between stream by the ISI of user equipment k
Disturb), Section 2 is the MUI (Multi User Interference inter-user interference) of user equipment k, this two, can all given
Determine to obtain in the case of multi-user matches set.Due to the normalization operation of beam forming weight,To most
Whole user equipment receives in signal, during calculating such as symbol demodulation SINR, will introduce ISI and/or MUI.Here, from
It is found that top priority is to obtain in formula (2)
By taking CQI reports mode 3-0 as an example, for example in downlink 8-Tx (transmitting) antenna system, user equipment k is reported
At user equipment end, according to 3GPP protocol specification, when calculating oneself report CQI, regardless of whether in multi-purpose
Family mode.
In the DL system of 8-Tx antenna, it is assumed that for 3GPP R8/R9 user, generally use 2CRS (Cell-
Specific Reference Signal, cell determine reference signal) port calculates CQI/PMI/RI, here,
b0/b1| 4 × 1 be broadcast weight, pCRSportIt is the transmission power on a port CRS.
It is the channel estimation at user equipment end.
σ at user equipment end2Including from other neighboring communities noise and interference.
In base station end, the original CQI that user equipment k is reportedkThe corresponding CQI of certain layer data subflow is converted to, that is, is had:
CQIk,m=CQIk×CRS_port_num/(|εk| × K), CRS_port_num=2 is CRS port number, | εk|
It is the number of plies or substream of data number of the scheduling of user equipment k, K is the final pairing number of users on a PRB.
SettingThe then CQI' adjusted of the than the m-th data subflow of user equipment kk,mIt can be with table
It is shown as following formula (3):
In formula (3)Being user equipment k is based on UL SRS (Uplink Sounding Reference in eNB
Signal, uplink inquire after reference signal) channel estimation.In a tdd system, it usually assumes thatBased on this, formula
It (3) can be with approximate representation for following formula (4):
In formula (4), vk,mThe power of the than the m-th data stream of user equipment k is distributed in expression, for the sake of simplicity it is assumed that
Average power allocation is carried out between the data flow of all scheduling, but is not limited to constant power distribution.
Formula (4) are substituted into formula (2), the than the m-th data stream of user equipment k estimates that CQI namely SINR is rewritable to be
Following formula (5):
So far, what estimating device 503 can be calculated user equipment k estimates CQI.And the estimating device 503 can be same
The calculation of sample, obtain each user equipment in multiple user equipmenies estimates CQI.
Preferably, device 1 further includes filter device (not shown).Filter device is used for each based on the multiple user equipment
The multiple CQI reported from independent timesharing determine the respective independent filtering CQI of the multiple user equipment through filters filter；Root
According to the independent filtering CQI set of the multiple user equipment, the filtering CQI is determined.
Specifically, respectively independent timesharing reports CQI to multiple user equipmenies, and filter device is for receiving multiple user
After the equipment CQI that respectively independent timesharing reports, using filter, each user equipment timesharing is reported respectively multiple CQI
It is smoothly filtered, determines the independent filtering CQI of each user equipment；The independent filtering CQI of this multiple user equipment is formd
Independent filtering CQI set, then, filter device is independently filtered from this in CQI set, is determined filtering CQI, is such as based on following rules
Determine the filtering CQI of multiple user equipment.
It is highly preferred that determining that the rule of the filtering CQI is based on following at least any one:
The independent filtering CQI of minimum in the independent filtering CQI set of the multiple user equipment is chosen as the filtering
CQI；
The average value of independent filtering CQI set of the multiple user equipment is chosen as the filtering CQI.
Specifically, the independence filtering CQI of multiple user equipmenies forms independent filtering CQI set, and filter device is only from this
In vertical filtering CQI set, filtering CQI of the independent filtering CQI of minimum as multiple user equipment in the set is chosen, or
Person, filter device calculates the average value of the independent filtering CQI of multiple user equipment, independently to filter CQI set as this
Average value, in turn, using the average value as the filtering CQI of multiple user equipment.Then, normalized device 502 is by the filtering
CQI is compared with CQI threshold value, based on this comparison as a result, determining the wave beam to each user equipment in multiple user equipment
The normalization mode of forming weights matrix, to obtain the wave beam forming normalized weight matrix of each user equipment.
Those skilled in the art will be understood that the mode of the filtering CQI of the multiple user equipmenies of above-mentioned determination is only for example,
The mode of the filtering CQI of his the multiple user equipmenies of determination that is existing or being likely to occur from now on is such as applicable to the present invention, also answers
Within the scope of the present invention, and it is incorporated herein by reference.
Preferably, device 1 further includes contrast means (not shown).For all possible multi-purpose on any position PRB
Each set in family pairing set, contrast means are used to calculate every user wave beam shape-endowing weight value in the set and its estimate CQI,
It is then based on pairing criterion, a kind of set is selected from the set of multiple user equipmenies of all possible pairings, determines the set
To specify the final pairing user device set on the position PRB.
Specifically, in descending multi-user mimo system, on any one position PRB, multiple user equipment has
A variety of possible matching methods, estimating device 503 are determined in all possible pairing sets conjunctions, Mei Yiji by executing above-mentioned steps
Each user equipment estimates CQI in multiple user equipmenies in conjunction, and then, contrast means are used for according to these user equipmenies
CQI is estimated, based on pairing criterion, selects a kind of set from the set of multiple user equipmenies of all possible pairings, determining should
Collect the final pairing user device set being combined on the specified position PRB.Here, the pairing criterion such as maximum throughput principle,
Such as, it by original CQI or estimates CQI namely SINR etc. and is converted into capacity, if from multiple user equipmenies of all possible pairings
A kind of set is selected in set, multiple user equipmenies in the set are paired together the handling capacity maximum so that system, then will
The set is determined as the final pairing user device set on the specified position PRB.
Preferably, device 1 further includes configuration device (not shown).Configuration device is used for each according to the multiple user equipment
CQI is estimated from described, is the respective MCS of the multiple user device configuration in conjunction with the PRB set respectively distributed
(Modulation Coding Set, modulating-coding collection).
Specifically, determine each user equipment on the PRB resource location scheduled in it estimate CQI after, configuration
Device is used to estimate CQI according to multiple user equipment is respective, is multiple user in conjunction with the PRB set respectively distributed
The respective MCS of device configuration.Doing link circuit self-adapting in the CQI set of estimating based on above-mentioned corresponding every user, i.e. MCS is selected,
To which the original CQI of relative usage does MCS selection, it is clear that the MCS that the latter chooses can more embody the practical reception energy of user terminal
Power is also more preferably adapted to wireless channel conditions, to play the advantage of DL MU-MIMO system.
Fig. 2 shows using above-mentioned mechanism to simulation results shown in Fig. 4, that is, using estimating CQI, i.e. SINR'k,m
MCS is configured, there is apparent advantage.
Fig. 2 and Fig. 3, which is provided, independently to be normalized based on every element and based on the normalized ability comparison of greatest member.From figure
In as can be seen that in the high region SINR, more preferably based on the normalized ability of greatest member, however, in the low region SINR, based on every
Element independently normalizes more preferably.
Here, the beam forming weight matrix i.e. to each user equipment is independently normalized based on every element, to its wave beam
All elements carry out respectively independent normalization in forming weights matrix.
Based on greatest member normalization i.e. to the beam forming weight matrix of each user equipment, its wave beam forming power is chosen
Power greatest member in weight matrix, is normalized all elements in its beam forming weight matrix.
Fig. 4 is the original CQI and estimate CQI and final symbol demodulation SINR that user reports under two kinds of normalization schemes, i.e.,
The comparison of post-SINR.It is assumed here that a total of 4 user equipmenies, each one layer data of user device transmissions.Comparison can be with
It was found that the normalization based on greatest member is estimated CQI and is more matched with post-SINR in the upper region of SINR, this is because,
In the upper region of SINR, inter-user interference, that is, MUI account for it is leading, thus, beam forming weight matrix is returned using greatest member
One changes, although there is energy loss, can keep orthogonality between user.In SINR low region, influence of noise is very big, is based on every member
Element normalization, maintains energy and does not lose, although destroying orthogonality, thus, it can also obtain preferable matching.
Here, device 1 calculates separately on any position PRB, for any one multiple user equipment that may be matched
Set, determines the beam forming weight matrix of each user equipment in the set；The mistake of multiple user equipmenies based on the set
The comparison result for filtering CQI and CQI threshold value, determines the wave beam forming normalized weight of each user equipment in multiple user equipment
Matrix；Wave beam forming normalized weight set of matrices based on multiple user equipment, in conjunction with the respective institute of multiple user equipment
The original CQI reported, determine each user equipment in multiple user equipment estimates CQI.
It is proposed a kind of adaptive beam forming weight calculation method of the DL MU-MIMO system of enhancing, which overcome every
The transimission power of a transmitting antenna limits, meanwhile, the link that the beam forming weight based on update constructs a kind of robust is adaptive
Answer mechanism.With the development of wireless communication technique, the program is suitable for the DL MU-MIMO transmission of the following enhancing, for example, 5G or
System further below.To the MU-MIMO transmission of future enhancing, on same PRB, each user has higher layer or more
Match user.Adaptive wave beam shaping weighing computation method based on DL MU-MIMO efficiently solves dry between user equipment
It disturbs, to greatly improve the MCS selection under MU-MIMO mode.From the point of view of simulation results, opposite user terminal is reported
Original CQI and user equipment demodulation symbol SINR namely post-SINR between difference, after update, namely estimate CQI
Difference between the demodulation symbol SINR final with user is substantially reduced.In other words, user's last solution will more preferably be matched by estimating CQI
Adjust SINR that will greatly improve system throughput to do MCS selection based on CQI is estimated in base station end, to give full play to
Capacity gain brought by the pairing of MU-MIMO.
It should be noted that the present invention can be carried out in the assembly of software and/or software and hardware, for example, can adopt
With specific integrated circuit (ASIC), general purpose computer or any other realized similar to hardware device.In one embodiment
In, software program of the invention can be executed to implement the above steps or functions by processor.Similarly, of the invention
Software program (including relevant data structure) can be stored in computer readable recording medium, for example, RAM memory,
Magnetic or optical driver or floppy disc and similar devices.In addition, some of the steps or functions of the present invention may be implemented in hardware, example
Such as, as the circuit cooperated with processor thereby executing each step or function.
In addition, a part of the invention can be applied to computer program product, such as computer program instructions, when its quilt
When computer executes, by the operation of the computer, it can call or provide according to the method for the present invention and/or technical solution.
And the program instruction of method of the invention is called, it is possibly stored in fixed or moveable recording medium, and/or pass through
Broadcast or the data flow in other signal-bearing mediums and transmitted, and/or be stored according to described program instruction operation
In the working storage of computer equipment.Here, according to one embodiment of present invention including a device, which includes using
Memory in storage computer program instructions and processor for executing program instructions, wherein when the computer program refers to
When enabling by processor execution, method and/or skill of the device operation based on aforementioned multiple embodiments according to the present invention are triggered
Art scheme.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where 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
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included in the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.This
Outside, it is clear that one word of " comprising " does not exclude other units or steps, and odd number is not excluded for plural number.That states in device claim is multiple
Unit or device can also be implemented through software or hardware by a unit or device.The first, the second equal words are used to table
Show title, and does not indicate any particular order.
Claims (11)
1. a kind of chain circuit self-adaptive method for descending multi-user mimo system, wherein method includes the following steps:
A is calculated separately on the position any physical resource block PRB, for the collection of any one multiple user equipment that may be matched
It closes, determines the beam forming weight matrix of each user equipment in the set；
The comparison result of the filtering CQI and CQI threshold value of multiple user equipmenies of the b based on the set, determine the multiple user
The wave beam forming normalized weight matrix of each user equipment in equipment；
When the filtering CQI is greater than the CQI threshold value, to the wave beam forming of each user equipment in the multiple user equipment
Weight matrix chooses power greatest member in its beam forming weight matrix, to all elements in its beam forming weight matrix
It is normalized, obtains the wave beam forming normalized weight matrix；
When the filtering CQI is less than the CQI threshold value, to the wave beam forming of each user equipment in the multiple user equipment
Weight matrix carries out respectively independent normalization to all elements in its beam forming weight matrix, obtains the wave beam forming and return
One changes weight matrix；
Wherein, the filtering CQI is obtained based on following manner:
Multiple user equipmenies based on the set multiple CQI that respectively independent timesharing reports determine institute through filters filter
State the respective independent filtering CQI of multiple user equipmenies；
According to the independent filtering CQI set of the multiple user equipment, the filtering CQI is determined；
Wave beam forming normalized weight set of matrices of the c based on the multiple user equipment, it is each in conjunction with the multiple user equipment
From the original CQI reported, determine each user equipment in the multiple user equipment estimates CQI.
2. according to the method described in claim 1, wherein, the step c includes:
Based on wave beam forming normalized weight set of matrices described in the multiple user equipment, in conjunction with the multiple user equipment
The original CQI respectively reported, and combine the multiple user equipment in each user equipment oneself inter-stream interference and its can
It can match and interfere between user equipment, determine that the multiple user equipment is respective and estimate CQI.
3. according to the method described in claim 1, wherein it is determined that the rule of the filtering CQI is based on following at least any one:
The independent filtering CQI of minimum in the independent filtering CQI set of the multiple user equipment is chosen as the filtering CQI；
The average value of independent filtering CQI set of the multiple user equipment is chosen as the filtering CQI.
4. according to the method in any one of claims 1 to 3, wherein this method further include:
It is directed to any position PRB, each user equipment estimates CQI, base in the multiple user equipmenies matched according to all possibility
In pairing criterion, a kind of set is selected from the set of multiple user equipmenies of all possible pairings, it is specified to determine that the collection is combined into
Final pairing user device set on the position PRB.
5. according to the method described in claim 4, wherein, this method further include:
CQI is estimated according to the multiple user equipment is respectively described, is the multiple use in conjunction with the PRB set respectively distributed
The respective MCS of family device configuration.
6. a kind of link circuit self-adapting device for descending multi-user mimo system, wherein the device includes:
Computing device, for calculating separately the position any physical resource block PRB, the multiple use that may be matched for any one
The set of family equipment determines the beam forming weight matrix of each user equipment in the set；
Normalized device, the comparison result of filtering CQI and CQI threshold value for multiple user equipmenies based on the set, really
The wave beam forming normalized weight matrix of each user equipment in fixed the multiple user equipment；
Wherein, the normalized device is used for:
When the filtering CQI is greater than the CQI threshold value, to the wave beam forming of each user equipment in the multiple user equipment
Weight matrix chooses power greatest member in its beam forming weight matrix, to all elements in its beam forming weight matrix
It is normalized, obtains the wave beam forming normalized weight matrix；
When the filtering CQI is less than the CQI threshold value, to the wave beam forming of each user equipment in the multiple user equipment
Weight matrix carries out respectively independent normalization to all elements in its beam forming weight matrix, obtains the wave beam forming and return
One changes weight matrix；
Filter device is used for:
It is determined the multiple based on the multiple user equipment multiple CQI that respectively independent timesharing reports through filters filter
The respective independent filtering CQI of user equipment；
According to the independent filtering CQI set of the multiple user equipment, the filtering CQI is determined；
Estimating device, for the wave beam forming normalized weight set of matrices based on the multiple user equipment, in conjunction with described more
The original CQI that a user equipment is respectively reported, determine each user equipment in the multiple user equipment estimates CQI.
7. device according to claim 6, wherein the estimating device is used for:
Based on wave beam forming normalized weight set of matrices described in the multiple user equipment, in conjunction with the multiple user equipment
The original CQI respectively reported, and combine the multiple user equipment in each user equipment oneself inter-stream interference and its can
It can match and interfere between user equipment, determine that the multiple user equipment is respective and estimate CQI.
8. device according to claim 6, wherein determine that the rule of the filtering CQI is based on following at least any one:
The independent filtering CQI of minimum in the independent filtering CQI set of the multiple user equipment is chosen as the filtering CQI；
The average value of independent filtering CQI set of the multiple user equipment is chosen as the filtering CQI.
9. the device according to any one of claim 6 to 8, wherein the device further include:
Contrast means, for being directed to any position PRB, according to each user equipment in multiple user equipmenies of all possible pairings
Estimate CQI, based on pairing criterion, select a kind of set from the set of multiple user equipmenies of all possible pairings, determine
The collection is combined into the final pairing user device set on the specified position PRB.
10. device according to claim 9, wherein the device further include:
Configuration device, for estimating CQI according to the multiple user equipment is respectively described, in conjunction with the PRB set respectively distributed,
For the respective MCS of the multiple user device configuration.
11. a kind of eNB, including the device as described in any one of claim 6 to 10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410389896.7A CN105337701B (en) | 2014-08-08 | 2014-08-08 | A kind of chain circuit self-adaptive method and device for descending multi-user mimo system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410389896.7A CN105337701B (en) | 2014-08-08 | 2014-08-08 | A kind of chain circuit self-adaptive method and device for descending multi-user mimo system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105337701A CN105337701A (en) | 2016-02-17 |
| CN105337701B true CN105337701B (en) | 2019-01-11 |
Family
ID=55288029
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410389896.7A Active CN105337701B (en) | 2014-08-08 | 2014-08-08 | A kind of chain circuit self-adaptive method and device for descending multi-user mimo system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105337701B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10945151B2 (en) * | 2016-11-24 | 2021-03-09 | Huawei Technologies Co., Ltd. | Data transmission rate control method and device |
| CN109889237B (en) * | 2019-03-06 | 2021-03-26 | 常熟市泓博通讯技术股份有限公司 | Method and terminal device for selecting modulation and coding scheme based on multi-antenna control |
| US11723014B2 (en) | 2019-04-16 | 2023-08-08 | Telefonaktiebolaget Lm Ericsson (Publ) | Controlling transmitter output |
| CN111525997B (en) * | 2020-05-06 | 2022-12-16 | 无锡职业技术学院 | Wireless broadband ad hoc network transmission method |
| CN116134749A (en) * | 2020-07-31 | 2023-05-16 | 华为技术有限公司 | Antenna control method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102457321A (en) * | 2010-10-26 | 2012-05-16 | 上海贝尔股份有限公司 | Method for predicting down link SINR (Signal-to-Interference and Noise Ratio) in wireless communication system, equipment and base station |
| CN102474385A (en) * | 2009-06-29 | 2012-05-23 | 高通股份有限公司 | Open loop channel reporting in a wireless communication system |
| CN102572915A (en) * | 2010-12-20 | 2012-07-11 | 上海贝尔股份有限公司 | Base station and method for transmitting data stream based on self-adaptive double-layer beamforming |
| CN103281792A (en) * | 2013-05-10 | 2013-09-04 | 华为技术有限公司 | Coordinating beamforming method and device |
| US20130301454A1 (en) * | 2012-05-10 | 2013-11-14 | Samsung Electronics Co. Ltd. | Communication method and apparatus using analog and digital hybrid beamforming |
| CN103840907A (en) * | 2012-11-20 | 2014-06-04 | 电信科学技术研究院 | Pilot signal transmission method, signal measuring method, signal measuring system, pilot signal transmission equipment and signal measuring equipment |
-
2014
- 2014-08-08 CN CN201410389896.7A patent/CN105337701B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102474385A (en) * | 2009-06-29 | 2012-05-23 | 高通股份有限公司 | Open loop channel reporting in a wireless communication system |
| CN102457321A (en) * | 2010-10-26 | 2012-05-16 | 上海贝尔股份有限公司 | Method for predicting down link SINR (Signal-to-Interference and Noise Ratio) in wireless communication system, equipment and base station |
| CN102572915A (en) * | 2010-12-20 | 2012-07-11 | 上海贝尔股份有限公司 | Base station and method for transmitting data stream based on self-adaptive double-layer beamforming |
| US20130301454A1 (en) * | 2012-05-10 | 2013-11-14 | Samsung Electronics Co. Ltd. | Communication method and apparatus using analog and digital hybrid beamforming |
| CN103840907A (en) * | 2012-11-20 | 2014-06-04 | 电信科学技术研究院 | Pilot signal transmission method, signal measuring method, signal measuring system, pilot signal transmission equipment and signal measuring equipment |
| CN103281792A (en) * | 2013-05-10 | 2013-09-04 | 华为技术有限公司 | Coordinating beamforming method and device |
Non-Patent Citations (1)
| Title |
|---|
| LTE-A系统下行MU-MIMO技术的研究;贾学岷;《中国优秀硕士学位论文全文数据库 信息科技辑》;20131115;全文 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105337701A (en) | 2016-02-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11277175B2 (en) | System and method for communications system training | |
| CN103155624B (en) | The method and apparatus determined for channel state information | |
| US8260209B2 (en) | System and method for coordinated spatial multiplexing using second order statistical information | |
| EP1887712B1 (en) | Apparatus and method for low-complexity scheduling in multi-user mimo system | |
| JP5738581B2 (en) | Multi-user MIMO transmission method and base station in wireless communication system | |
| CN105340194B (en) | The estimation and utilization of interference elimination ability are received in multi-user transmission to client | |
| JP5346376B2 (en) | Beam forming system and beam forming method | |
| CN105453693B (en) | A kind of data transmission method, user equipment and base station | |
| CN105337701B (en) | A kind of chain circuit self-adaptive method and device for descending multi-user mimo system | |
| KR102367373B1 (en) | Method and apparatus for genreation and reporting of feedback information in mobile communication system | |
| EP2346189A1 (en) | Downlink transmission in a multiple-user mimo wireless communication system | |
| US10374836B2 (en) | Method and apparatus for downlink channel estimation in massive MIMO | |
| EP2795807B1 (en) | Downlink transmission in a mu-mimo system | |
| JP2009219117A (en) | Method for selecting subchannel mode, and mimo communication system using the same | |
| US20210028828A1 (en) | Communication devices, communication coordinating devices, and communication methods | |
| EP2517375B1 (en) | Telecommunication transmission method and system | |
| US9072116B2 (en) | Systems and methods for reducing complexity in modulation coding scheme (MCS) adaptation | |
| CN105337683B (en) | A kind of transmitting method of weighting and device for CSI feedback system | |
| US9414251B2 (en) | Method for determining multi-user channel quality in mobile communication system, and user terminal and base station therefor | |
| CN103905101B (en) | The determination method of downlink precoding granularity and base station in LTE system | |
| WO2016101116A1 (en) | Channel measurement and feedback method, network device, and system | |
| CN102291834B (en) | The resource regulating method of multiple-input and multiple-output and base station | |
| CN102932114A (en) | Uplink precoding emitting method and device | |
| CN108370263B (en) | Method and apparatus for enhancing user selection in MU-MIMO systems | |
| CN102752071A (en) | Downlink precoding method and central processing node for multipoint cooperative system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: No. 388, ningqiao Road, Pudong New Area free trade test area, Shanghai City, Shanghai Applicant after: Shanghai NOKIA Baer Limited by Share Ltd Address before: 201206 Pudong New Area Jinqiao Ning Road, Shanghai, No. 388 Applicant before: Shanghai Alcatel-Lucent Co., Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |