CN101783776B - Precoding feedback method, system, user equipment and base station - Google Patents
Precoding feedback method, system, user equipment and base station Download PDFInfo
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- CN101783776B CN101783776B CN 200910076683 CN200910076683A CN101783776B CN 101783776 B CN101783776 B CN 101783776B CN 200910076683 CN200910076683 CN 200910076683 CN 200910076683 A CN200910076683 A CN 200910076683A CN 101783776 B CN101783776 B CN 101783776B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0417—Feedback systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
- H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
- H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
- H04B7/0621—Feedback content
- H04B7/0634—Antenna weights or vector/matrix coefficients
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Abstract
The invention discloses a precoding feedback method, a system, user equipment and a base station. The method comprises the following steps of: receiving a random wave beam information flow and determining an optimal wave beam assembly according to the signal-to-interference and noise ratio of the random wave beam information flow; obtaining a feedback threshold value; and feeding back the information of at least one wave beam the signal-to-interference and noise ratio of which is higher than the feedback threshold value in the optimal wave beam assembly. By the embodiment of the invention, the feedback quantity during precoding can be lowered.
Description
Technical field
The present invention relates to mobile communication technology, particularly a kind of precoding feedback method and system, subscriber equipment and base station.
Background technology
Multiple-input and multiple-output (Multiple Input Multiple Output, MIMO) technology can greatly improve the transmission rate of wireless communication system on the basis that does not increase bandwidth, satisfied the requirement of high speed data transfers business.In mimo system, utilize precoding technique simultaneously a plurality of data flow to be transmitted, can improve reliability and the transmission rate of transmission link.And precoding technique is based on transmitting terminal and knows that the such hypothesis of all or part of channel condition information carries out, and therefore, receiving terminal need to be with information feedback to transmitting terminal under many circumstances.In multi-user environment, in order to reduce feedback quantity, accidental beam shaping is a kind of possible solution.Under multi-user environment, random schedule can take full advantage of multi-user diversity and improve throughput of system, normally the more throughputs of number of users are larger, when number of users is tending towards infinity, functional relation between throughput of system and the number of users is optimum and the capacity extension rule, and optimum and capacity extension rule is N
tLoglog K, wherein N
tBe the number of the transmitting antenna of base station side, K is user's number.Close-to zero beam forming technique (Zero Forcing in the accidental beam shaping scheme, ZF) and chance orthogonal random beam forming technique (Opportunistic Orthogonal RandomBeamforming, ORB) can reach optimum and capacity extension is restrained.
The inventor finds prior art, and there are the following problems at least: if need to reach optimum in the prior art and the capacity extension rule, the user is larger to the feedback overhead of base station.
Summary of the invention
The invention provides a kind of precoding feedback method and system, subscriber equipment and base station, solve the larger problem of feedback overhead.
The embodiment of the invention provides a kind of precoding feedback method, comprising:
Receive the random wave bundle information flow, determine the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Obtain the feedback door limit value;
The feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value.
The embodiment of the invention provides a kind of subscriber equipment, comprising:
Receiver module is used for receiving the random wave bundle information flow, determines the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Acquisition module is used for obtaining the feedback door limit value;
Feedback module is connected with acquisition module with described receiver module, is used for the feedback optimal beam and concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value.
The embodiment of the invention provides a kind of base station, comprising:
Computing module is used for calculating the feedback door limit value;
Sending module is connected with described computing module, is used for this feedback door limit value is sent to subscriber equipment, and described subscriber equipment feeds back to the base station with the information that at least one Signal to Interference plus Noise Ratio is higher than the wave beam of described feedback door limit value.
The embodiment of the invention provides a kind of precoding feedback system, comprising:
The base station is used for sending random wave bundle information flow and threshold information to subscriber equipment;
Subscriber equipment is connected with described base station, is used for according to described random wave bundle acquisition of information optimal beam collection, obtains the feedback door limit value according to described threshold information, and the feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of feedback door limit value.
As shown from the above technical solution, the embodiment of the invention is fed back corresponding information by setting threshold value when the Signal to Interference plus Noise Ratio of optimal beam surpasses threshold value, can reduce the feedback overhead in the accidental beam shaping scheme.
Description of drawings
Fig. 1 is the method flow schematic diagram of first embodiment of the invention;
Fig. 2 is structural representation corresponding to first embodiment of the invention;
Fig. 3 is the schematic flow sheet that obtains the embodiment of the method one of feedback door limit value in the first embodiment of the invention;
Fig. 4 is the schematic flow sheet that obtains the embodiment of the method two of feedback door limit value in the first embodiment of the invention;
Fig. 5 is the schematic flow sheet that obtains the embodiment of the method three of feedback door limit value in the first embodiment of the invention;
Fig. 6 be in the first embodiment of the invention total number of users with and the simulation relation curve figure of capacity;
Fig. 7 be in the first embodiment of the invention signal to noise ratio with and the simulation relation curve figure of capacity;
Fig. 8 is the simulation relation curve figure of total number of users and feedback quantity in the first embodiment of the invention;
Fig. 9 is the structural representation of the subscriber equipment of second embodiment of the invention;
Figure 10 is the structural representation of the base station of third embodiment of the invention;
Figure 11 is the structural representation of the precoding feedback system of fourth embodiment of the invention.
Embodiment
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Fig. 1 is the method flow schematic diagram of first embodiment of the invention, and Fig. 2 is structural representation corresponding to first embodiment of the invention.Referring to Fig. 1, the embodiment of the invention comprises:
Step 11: subscriber equipment receives the random wave bundle information flow, determines the optimal beam collection according to the Signal to Interference plus Noise Ratio of this random wave bundle information flow.
Step 12: subscriber equipment obtains the feedback door limit value.
Step 13: subscriber equipment concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of this feedback door limit value to the base station feedback optimal beam.
Present embodiment is by obtaining the feedback door limit value, feeds back when the Signal to Interference plus Noise Ratio of the optimal beam of subscriber equipment is higher than the feedback door limit value again, can reduce feedback overhead.
The below illustrates in more detail to each step respectively:
About step 11:
Take descending multi-user MIMO system as example, there is N the base station
tTransmit antennas, total K subscriber equipment in the system, each subscriber equipment is equipped with N
rThe root reception antenna.
As shown in Figure 2, if adopt at random orthogonal beams shaping scheme, then the base station produces N according to isotropic distribution
rIndividual normalized orthogonal vectors
At moment t, m information flow x
m(t) multiply by φ
mAnd N (t),
tIndividual cumulative being transmitted
Suppose that transmitter satisfies average power constraint P, E[x
HX]≤P.Suppose that information flow is that statistics is independent, and suppose that the average transmit power of every antenna equates:
Order
Emission SNR for every stream.
The white Gaussian noise of each subscriber equipment is used
Expression,
Then the received signal vector of each subscriber equipment is y
kBe expressed as follows:
k=1,…,K
Experience different path losses and the situation γ of shadow fading for different subscriber equipmenies
kExpression, block of channels H
kIndependently, and H
k∈ CN (0,1).
The Signal to Interference plus Noise Ratio SINR of m information flow of k subscriber equipment reception
K, mBe expressed as follows:
Wherein, when the number of reception antenna was 1, the optimal beam collection was comprised of the wave beam of Signal to Interference plus Noise Ratio maximum; When the number of the reception antenna of subscriber equipment during greater than 1, according to Signal to Interference plus Noise Ratio from big to small N wave beam that Signal to Interference plus Noise Ratio is larger form the optimal beam collection, wherein, N≤N
r, N
rNumber for the reception antenna of each subscriber equipment.Following to choose an optimal beam as example, i.e. the optimal beam m of k subscriber equipment
k *Computing formula be:
About step 12:
The feedback door limit value is to determine according to one or more in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment, perhaps further determines according to predetermined policy again.The method of specifically obtaining threshold value can be referring to the embodiment shown in Fig. 3-5.
Fig. 3 is the schematic flow sheet that obtains the embodiment of the method one of feedback door limit value in the first embodiment of the invention, and present embodiment is the base station produces corresponding each subscriber equipment for each subscriber equipment threshold value.Referring to Fig. 3, present embodiment comprises:
Step 301: the base station is according to the subscriber equipment sum K environmental factor γ different with each subscriber equipment
kEstimation and the Signal to Interference plus Noise Ratio distribution function of (for example, path loss and shade) obtain the feedback threshold value (γ for each subscriber equipment
k, K).
The base station is according to subscriber equipment sum K and γ
kDetermine thresholding β (γ
k, principle K) is as follows:
Wherein, F
k(β (γ
k, K)) be
Cumulative distribution function, under aforementioned assumed condition,
Cumulative distribution function be:
According to the computing formula of feedback door limit value as can be known, for different path losses and the subscriber equipment of shade, design different feedback door limit values and can improve fairness, such as shade and the more serious subscriber equipment of path loss, feedback threshold value (γ
k, K) should distribute lowlyer, can improve like this fairness of system.The formula of above-mentioned calculating feedback door limit value determines jointly that according to subscriber equipment sum, environmental factor and Signal to Interference plus Noise Ratio distribution function when practical application, computing formula can be different, for example, only with above-mentioned parameter in one or more relevant.
Step 302: the base station sends to corresponding subscriber equipment with this feedback door limit value, and each subscriber equipment obtains this for the feedback door limit value of self.
Present embodiment calculates feedback door limit value for each subscriber equipment by the base station, can determine suitable threshold value according to the different situation of each subscriber equipment.
Fig. 4 is the schematic flow sheet that obtains the embodiment of the method two of feedback door limit value in the first embodiment of the invention, and present embodiment is that the base station produces common threshold value for each subscriber equipment.Referring to Fig. 4, present embodiment comprises:
Step 401: the step 301 with embodiment three repeats no more.
Step 402: the base station will be processed for the feedback door limit value of each subscriber equipment according to default strategy and be obtained a public feedback door limit value, obtain a mean value after for example each feedback door limit value is average.
Step 403: the base station sends to each subscriber equipment with public feedback door limit value, and each subscriber equipment obtains this public feedback door limit value.
Present embodiment calculates identical feedback door limit value for each subscriber equipment by the base station, can make each subscriber equipment obtain suitable general character threshold value.
Fig. 5 is the schematic flow sheet that obtains the embodiment of the method three of feedback door limit value in the first embodiment of the invention, and present embodiment is the feedback door limit value that each subscriber equipment pin produces correspondence self.Referring to Fig. 5, present embodiment comprises:
Step 501: the base station is with the subscriber equipment sum K environmental factor γ different with each subscriber equipment
kSend to each corresponding subscriber equipment.
Step 502: the feedback door limit value that the above-mentioned information that each subscriber equipment sends according to the base station and Signal to Interference plus Noise Ratio distribution function obtain self.Be that each subscriber equipment is according to subscriber equipment sum K and γ
kDetermine thresholding β (γ
k, principle K) is as follows:
Wherein, F
k(β (γ
k, K)) be
Cumulative distribution function, under aforementioned assumed condition,
Cumulative distribution function be:
Present embodiment can alleviate the burden of base station by the feedback door limit value of subscriber devices compute self.
About step 13:
For example, when the number of reception antenna is 1, when the signal to noise ratio of optimal beam is higher than the feedback door limit value, feed back the information (for example wave beam sequence number) of this optimal beam; When the number of the reception antenna of subscriber equipment during greater than 1, Signal to Interference plus Noise Ratio and the feedback door limit value of the wave beam that the optimal beam that relatively is comprised of N wave beam is concentrated feed back the information that Signal to Interference plus Noise Ratio in N the wave beam is higher than the wave beam of feedback door limit value, wherein, and N≤N
r, N
rNumber for each user's reception antenna.
Particularly, each subscriber equipment k relatively
With this thresholding, if
Subscriber equipment k feeds back its only wave beam m
k *(this requires logN
tOtherwise subscriber equipment k does not feed back any information individual bit).
Afterwards, corresponding to each wave beam m, all users that fed back wave beam sequence number m that the base station receives collect B
mFor:
The base station can collect B from each user after obtaining these user's set further
mIn at random subscriber equipment of selection, and dispatch this subscriber equipment and receive information flow x corresponding to this wave beam
mBecause B
mBe mutually disjoint, this has guaranteed that a subscriber equipment is not assigned with more than a wave beam.
After adopting above-mentioned feedback method based on thresholding, can reduce feedback quantity obtaining on optimum and the capacity extension rule basis.The below illustrates this effect with analogous diagram.
Fig. 6 be in the first embodiment of the invention total number of users with and the simulation relation curve figure of capacity, the From Math of present embodiment is number of transmit antennas N
tBe 4, the reception antenna of each subscriber equipment is counted N
rBe 1, signal to noise ratio ρ is 10dB.Its apoplexy involving the solid organs paper precoding (Dirty-Paper Coding, DPC) method is optimum method for precoding, remaining several method for precoding is respectively ZF method for precoding (Optimal ZF), chance quadrature method for precoding (Opportunistic ORB), the 1 bit feedback method for precoding (1-Bit Feedback) of existing optimum, reaches the 1-Bit ORB method based on the embodiment of the invention.As can be seen from Figure 6 when the subscriber equipment sum is tending towards infinity, the reaching unanimity of the trend of each curve, namely the method for precoding based on present embodiment can reach optimum restraining with capacity extension.From Fig. 6, it can also be seen that when the subscriber equipment sum is less, method for precoding based on the embodiment of the invention is also comparatively similar to the curve of optimum precoding, namely when subscriber equipment sum is less, also can have certain better performance based on the method for precoding of the embodiment of the invention.
Fig. 7 be in the first embodiment of the invention signal to noise ratio with and the simulation relation curve figure of capacity, the From Math of present embodiment is number of transmit antennas N
tBe 4, the reception antenna of each subscriber equipment is counted N
rBe 1, subscriber equipment sum K is 100.As can be seen from Figure 7 the trend of moving towards of each curve is also can find out when signal to noise ratio changes, and present embodiment also can reach optimum restraining with capacity.
Fig. 8 is the simulation relation curve figure of total number of users and feedback quantity in the first embodiment of the invention.What wherein from top to bottom curve represented is that number of transmit antennas was respectively 6,5,4,3 o'clock, the graph of a relation of subscriber equipment sum and feedback quantity, as can be seen from Figure 8, the limiting value of each curve when the subscriber equipment sum is tending towards infinity is respectively 6log6,5log5,4log4,3log3, and namely the average feedback rates of present embodiment will be N
tLogN
tAnd the feedback mechanism that does not adopt based on thresholding of the prior art has at most min (N for each user
t, N
r) logN
tThe feedback of bit, the feedback bits of whole system may reach Kmin (N
t, N
r) logN
tBit, its feedback overhead is too large like this.After adopting this programme, its average total feedback overhead is N
tLogN
tBit.Than existing Kmin (N
t, N
r) logN
tFeedback quantity, can greatly reduce feedback quantity.
Fig. 9 is the structural representation of the subscriber equipment of second embodiment of the invention, comprises receiver module 91, acquisition module 92 and feedback module 93.Receiver module 91 is used for receiving the random wave bundle information flow, determines the optimal beam collection according to the Signal to Interference plus Noise Ratio of each random wave bundle information flow; Acquisition module 92 is used for obtaining the feedback door limit value; Feedback module 93 is used for optimal beam that feedback receiver module 91 obtains and concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of the feedback door limit value that acquisition module 92 obtains.
Acquisition module 92 is concrete to be used for receiving the feedback door limit values corresponding with this subscriber equipment that the base station sends, and the feedback door limit value corresponding with this subscriber equipment determined according to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum with at least one parameter in environmental factor corresponding to this subscriber equipment by the base station; Perhaps, acquisition module 92 is concrete to be used for receiving that the base station sends to the equal identical feedback door limit value of each subscriber equipment, this to each subscriber equipment all identical feedback door limit value determined according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment by the base station; Perhaps, acquisition module 92 concrete subscriber equipment sum and the environmental factors that are used for receiving the base station transmission, subscriber equipment is determined the feedback door limit value according to a parameter in Signal to Interference plus Noise Ratio distribution function and described subscriber equipment sum and the environmental factor.
Present embodiment is by obtaining threshold value, and the information of feedback optimal beam can reduce feedback quantity when the Signal to Interference plus Noise Ratio of optimal beam is higher than threshold value.
Figure 10 is the structural representation of the base station of third embodiment of the invention, comprises computing module 101 and sending module 102.Computing module 101 is used for calculating the feedback door limit value; This feedback door limit value that sending module 102 is used for computing module 101 is obtained sends to subscriber equipment, and described subscriber equipment feeds back to described base station with the information that at least one Signal to Interference plus Noise Ratio is higher than the wave beam of described feedback door limit value.
Wherein, the computing module 101 concrete definite feedback door limit values for each subscriber equipment of at least one parameter that are used for according to environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment; Perhaps, concrete at least one parameter that is used for according to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, environmental factor that each subscriber equipment is corresponding of computing module 101 obtains the feedback door limit value for each subscriber equipment; And the feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value.
Further, present embodiment can also comprise the selection module, is used for receiving the wave beam information that each subscriber equipment sends, and forms the user's collection for each wave beam; And concentrate user corresponding to same wave beam information and to select at random a subscriber equipment, the data of this wave beam are sent to the subscriber equipment of selecting at random.
Present embodiment sends to subscriber equipment by calculating threshold value with this threshold value, and subscriber equipment is fed back when the Signal to Interference plus Noise Ratio of optimal beam is higher than threshold value, can reduce feedback quantity.
Figure 11 is the structural representation of the precoding feedback system of fourth embodiment of the invention, comprises base station 111 and subscriber equipment 112.Base station 111 is used for sending random wave bundle information flow and threshold information; The described random wave bundle acquisition of information optimal beam collection that subscriber equipment 112 is used for according to base station 111 transmissions, the described threshold information that sends according to base station 111 obtains the feedback door limit value, and the feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of feedback door limit value.
Wherein, threshold information can be specially feedback door limit value corresponding to each subscriber equipment, the base station 111 concrete definite feedback door limit values for each user of at least one parameter that are used for according to environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment; Subscriber equipment 112 is concrete for receiving the described base station 111 feedback door limit values corresponding with self that obtain.
Perhaps, threshold information can be specially the public feedback door limit value of each subscriber equipment, the base station 111 concrete definite feedback door limit values for each subscriber equipment of at least one parameter that are used for according to environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment, and the feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value; Subscriber equipment 112 is concrete to be used for receiving all identical feedback door limit values of each subscriber equipment that described base station 111 obtains.
Perhaps, base station 111 is concrete for subscriber equipment sum and the environmental factor corresponding with each subscriber equipment are issued corresponding subscriber equipment; Subscriber equipment 112 is according at least one the definite feedback door limit value separately in Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and the environmental factor of 111 transmissions of described base station.
Further, base station 111 can also be used for receiving the wave beam information that each subscriber equipment sends, and forms the user's collection for each wave beam; And concentrate user corresponding to same wave beam information and to select at random a subscriber equipment, the data of this wave beam are sent to the subscriber equipment of selecting at random.
Present embodiment obtains the feedback door limit value by different modes, and the information of feedback optimal beam can reduce feedback quantity when the Signal to Interference plus Noise Ratio of optimal beam is higher than the feedback door limit value.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be finished by the relevant hardware of program command, aforesaid program can be stored in the computer read/write memory medium, this program is carried out the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: the various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
It should be noted that at last: above embodiment is only in order to technical scheme of the present invention to be described but not limit it, although with reference to preferred embodiment the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: it still can be made amendment or be equal to replacement technical scheme of the present invention, and these modifications or be equal to replacement and also can not make amended technical scheme break away from the spirit and scope of technical solution of the present invention.
Claims (16)
1. a precoding feedback method is characterized in that, comprising:
Receive the random wave bundle information flow, determine the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Obtain the feedback door limit value;
The feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value;
The described feedback door limit value that obtains comprises:
Receive the feedback door limit value corresponding with each subscriber equipment that the base station sends, the described feedback door limit value corresponding with each subscriber equipment determined according at least one parameter in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment by the base station; Perhaps,
Receive subscriber equipment sum and environmental factor that the base station sends, subscriber equipment is determined the feedback door limit value according at least one parameter in Signal to Interference plus Noise Ratio distribution function and described subscriber equipment sum and the environmental factor.
2. method according to claim 1 is characterized in that, determines that according at least one parameter in Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and the environmental factor computing formula of feedback door limit value is:
Wherein, β (γ
k, K) being the feedback door limit value of k subscriber equipment, K is the subscriber equipment sum, N
rNumber for the reception antenna of subscriber equipment;
3. method according to claim 1 is characterized in that, determines that according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment the feedback door limit value comprises:
Obtain feedback door limit value for each subscriber equipment according at least one parameter in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment;
The feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value.
4. method according to claim 1, it is characterized in that, described Signal to Interference plus Noise Ratio according to described random wave bundle information flow determines that the optimal beam collection comprises: when the number of the reception antenna of subscriber equipment is 1, the wave beam of Signal to Interference plus Noise Ratio maximum is formed the optimal beam collection; When the number of the reception antenna of subscriber equipment during greater than 1, the N that Signal to Interference plus Noise Ratio is larger wave beam forms the optimal beam collection, wherein, and N≤N
r, N
rNumber for each user's reception antenna.
5. a precoding feedback method is characterized in that, comprising:
Receive the random wave bundle information flow, determine the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Obtain the feedback door limit value;
The feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value;
The described feedback door limit value that obtains comprises:
Receive that the base station sends to the equal identical feedback door limit value of each subscriber equipment, described to each subscriber equipment all identical feedback door limit value determined according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment by the base station;
Determine that according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment the feedback door limit value comprises:
Obtain feedback door limit value for each subscriber equipment according at least one parameter in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment;
The feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value.
6. method according to claim 5, it is characterized in that, described Signal to Interference plus Noise Ratio according to described random wave bundle information flow determines that the optimal beam collection comprises: when the number of the reception antenna of subscriber equipment is 1, the wave beam of Signal to Interference plus Noise Ratio maximum is formed the optimal beam collection; When the number of the reception antenna of subscriber equipment during greater than 1, the N that Signal to Interference plus Noise Ratio is larger wave beam forms the optimal beam collection, wherein, and N≤N
r, N
rNumber for each user's reception antenna.
7. a precoding feedback method is characterized in that, comprising:
Receive the random wave bundle information flow, determine the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Obtain the feedback door limit value;
The feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value;
The described feedback door limit value that obtains comprises:
Receive that the base station sends to the equal identical feedback door limit value of each subscriber equipment, described to each subscriber equipment all identical feedback door limit value determined according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment by the base station;
Described Signal to Interference plus Noise Ratio according to described random wave bundle information flow determines that the optimal beam collection comprises: when the number of the reception antenna of subscriber equipment is 1, the wave beam of Signal to Interference plus Noise Ratio maximum is formed the optimal beam collection; When the number of the reception antenna of subscriber equipment during greater than 1, the N that Signal to Interference plus Noise Ratio is larger wave beam forms the optimal beam collection, wherein, and N≤N
r, N
rNumber for each user's reception antenna.
8. a subscriber equipment is characterized in that, comprising:
Receiver module is used for receiving the random wave bundle information flow, determines the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Acquisition module is used for obtaining the feedback door limit value;
Feedback module is connected with acquisition module with described receiver module, is used for the feedback optimal beam and concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value;
Described acquisition module specifically be used for to receive the feedback door limit value corresponding with described subscriber equipment that the base station sends, and feedback door limit value that should be corresponding with described subscriber equipment is determined according to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum with at least one parameter in environmental factor corresponding to described subscriber equipment by the base station; Perhaps,
Described acquisition module specifically is used for receiving subscriber equipment sum and the environmental factor that the base station sends, and described subscriber equipment is determined the feedback door limit value according at least one parameter in Signal to Interference plus Noise Ratio distribution function and described subscriber equipment sum and the environmental factor.
9. a subscriber equipment is characterized in that, comprising:
Receiver module is used for receiving the random wave bundle information flow, determines the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Acquisition module is used for obtaining the feedback door limit value;
Feedback module is connected with acquisition module with described receiver module, is used for the feedback optimal beam and concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value;
Described acquisition module be used for to receive specifically that the base station sends to the equal identical feedback door limit value of each subscriber equipment, this to each subscriber equipment all identical feedback door limit value determined according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment by the base station;
Determine that according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment the feedback door limit value comprises:
Obtain feedback door limit value for each subscriber equipment according at least one parameter in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment;
The feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value.
10. a subscriber equipment is characterized in that, comprising:
Receiver module is used for receiving the random wave bundle information flow, determines the optimal beam collection according to the Signal to Interference plus Noise Ratio of described random wave bundle information flow;
Acquisition module is used for obtaining the feedback door limit value;
Feedback module is connected with acquisition module with described receiver module, is used for the feedback optimal beam and concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of described feedback door limit value;
Described acquisition module be used for to receive specifically that the base station sends to the equal identical feedback door limit value of each subscriber equipment, this to each subscriber equipment all identical feedback door limit value determined according at least one parameter and predetermined policy in environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, each subscriber equipment by the base station;
Described Signal to Interference plus Noise Ratio according to described random wave bundle information flow determines that the optimal beam collection comprises: when the number of the reception antenna of subscriber equipment is 1, the wave beam of Signal to Interference plus Noise Ratio maximum is formed the optimal beam collection; When the number of the reception antenna of subscriber equipment during greater than 1, the N that Signal to Interference plus Noise Ratio is larger wave beam forms the optimal beam collection, wherein, and N≤N
r, N
rNumber for each user's reception antenna.
11. a base station is characterized in that, comprising:
Computing module is used for calculating the feedback door limit value;
Sending module is connected with described computing module, is used for this feedback door limit value is sent to subscriber equipment, and described subscriber equipment feeds back to the base station with the information that at least one Signal to Interference plus Noise Ratio is higher than the wave beam of described feedback door limit value;
Described computing module specifically is used for the definite feedback door limit value for each subscriber equipment of at least one parameter according to environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment; Perhaps,
Described computing module specifically is used at least one parameter according to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum, environmental factor that each subscriber equipment is corresponding and obtains feedback door limit value for each subscriber equipment; And the feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value.
12. base station according to claim 11 is characterized in that, also comprises:
Select module, be used for receiving the wave beam information that each subscriber equipment sends, form the user's collection for each wave beam; And concentrate user corresponding to same wave beam information and to select at random a subscriber equipment, the data of this wave beam are sent to the subscriber equipment of selecting at random.
13. a precoding feedback system is characterized in that, comprising:
The base station is used for sending random wave bundle information flow and threshold information to subscriber equipment;
Subscriber equipment is connected with described base station, is used for according to described random wave bundle acquisition of information optimal beam collection, obtains the feedback door limit value according to described threshold information, and the feedback optimal beam concentrates at least one Signal to Interference plus Noise Ratio to be higher than the information of the wave beam of feedback door limit value;
The threshold information that described base station sends is specially the feedback door limit value for each user, and described base station specifically is used for the definite feedback door limit value for each subscriber equipment of at least one parameter according to environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment;
Described subscriber equipment specifically is used for receiving the feedback door limit value corresponding with self that described base station obtains.
14. system according to claim 13 is characterized in that:
The threshold information that described base station sends is specially public feedback door limit value, described base station specifically is used for the definite feedback door limit value for each subscriber equipment of at least one parameter according to environmental factor corresponding to Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and each subscriber equipment, and the feedback door limit value that reaches for each subscriber equipment according to predetermined policy obtains public threshold value;
Described subscriber equipment specifically is used for receiving all identical feedback door limit values of each subscriber equipment that described base station obtains.
15. system according to claim 13 is characterized in that:
The threshold information that described base station sends is specially subscriber equipment sum and the environmental factor corresponding with each subscriber equipment, and described base station specifically is used for subscriber equipment sum and the environmental factor corresponding with each subscriber equipment are issued corresponding subscriber equipment;
Described subscriber equipment is according to the definite feedback door limit value separately of at least one parameter in Signal to Interference plus Noise Ratio distribution function, subscriber equipment sum and the environmental factor of the transmission of described base station.
16. system according to claim 13 is characterized in that:
Described base station also is used for receiving the wave beam information that each subscriber equipment sends, and forms the user's collection for each wave beam; And concentrate user corresponding to same wave beam information and to select at random a subscriber equipment, the data of this wave beam are sent to the subscriber equipment of selecting at random.
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CN 200910076683 CN101783776B (en) | 2009-01-15 | 2009-01-15 | Precoding feedback method, system, user equipment and base station |
PCT/CN2010/070146 WO2010081412A1 (en) | 2009-01-15 | 2010-01-13 | Method, system, user equipment and base station for pre-coding feedback |
JP2011545617A JP5424222B2 (en) | 2009-01-15 | 2010-01-13 | Method for precoding feedback, precoding feedback system, user equipment, and base station |
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CN102611536A (en) * | 2011-01-20 | 2012-07-25 | 夏普株式会社 | Feedback method for channel status information and user equipment |
CN103795491B (en) | 2012-11-01 | 2019-01-15 | 中兴通讯股份有限公司 | Processing method, base station and the terminal of channel state information |
CN107370525B (en) * | 2016-05-12 | 2021-03-30 | 华为技术有限公司 | Method, base station, terminal equipment and system for channel state information feedback |
CN108353059A (en) * | 2016-05-13 | 2018-07-31 | 华为技术有限公司 | A kind of information feedback method and website |
EP3446416B1 (en) | 2016-05-13 | 2020-11-04 | Huawei Technologies Co., Ltd. | Precoding and channel state information acquisition for multi-stream transmissions in massive mimo systems |
CN107342836B (en) * | 2017-03-17 | 2019-04-23 | 深圳大学 | Weighting sparse constraint robust ada- ptive beamformer method and device under impulsive noise |
CN107946598B (en) * | 2017-11-29 | 2021-11-02 | 中宝(天津)集团有限公司 | High-efficient environmental protection lead-based storage battery |
CN113300989A (en) * | 2021-07-28 | 2021-08-24 | 四川创智联恒科技有限公司 | Method for rapidly realizing NR-5G physical downlink shared channel |
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