CN102064871B - Method and device for beamforming - Google Patents
Method and device for beamforming Download PDFInfo
- Publication number
- CN102064871B CN102064871B CN 201010593026 CN201010593026A CN102064871B CN 102064871 B CN102064871 B CN 102064871B CN 201010593026 CN201010593026 CN 201010593026 CN 201010593026 A CN201010593026 A CN 201010593026A CN 102064871 B CN102064871 B CN 102064871B
- Authority
- CN
- China
- Prior art keywords
- threshold value
- shape
- value
- terminal
- endowing weight
- 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
Images
Landscapes
- Radio Transmission System (AREA)
Abstract
An embodiment of the invention relates to the technical fields of wireless communications, particularly to a method and a device for beamforming, which are used for solving the problems that downlink beamforming in the prior art is obtained by calculating according to channel estimation of uplink signals received by a base station, so determined forming factors are not reliable when the uplink signals of the base station are disturbed, thereby easily generating errors in direction of beams, greatly reducing signal receiving gain of a terminal, and disturbing signal receiving of other terminals under the same base station. The method of the embodiment of the invention comprises the following steps of: comparing a signal quality parameter value of the terminal with a beamforming threshold; determining a downlink forming weight of the terminal according to the comparison result; and performing the beamforming according to the downlink forming weight. The method of the embodiment of the invention can improve reliability of the downlink forming, reduce direction errors of beams and improve the signal receiving gain of the terminal.
Description
Technical field
The present invention relates to wireless communication technology field, particularly a kind of method and apparatus of wave beam forming.
Background technology
Intelligent antenna technology is TD-SDCMA (Time Division Synchronized Code Division Multiple Access, TD SDMA) one of key technology, the beamforming algorithm of smart antenna can make the base station for reception and the emission of different terminals very high directive property be arranged, can strengthen the isolation on the space, thereby reduce the interference of terminal room.
The method of at present more common wave beam forming is all utilized the diversity of carrying out signal up, at the descending wave beam forming that carries out.Based on the communication pattern of TDD (Time division duplex, time division duplex), uplink downlink works in identical carrier wave, the transmission characteristic unanimity, and therefore can give the up channel parameter carries out preliminary treatment to downlink data before transmission.
Basic step is:
1, carries out channel estimating well according to the up letter that receives;
2, structure is based on the spatial correlation matrix of terminal, and (maximum power, SIR (signal to interference ratio, signal interference ratio) etc.) find the solution characteristic value or generalized eigenvalue as forming coefficient under certain criterion;
3, be weighted to downlink wave beam with after the forming coefficient normalization, carry out down beam shaping.
Because all being channel estimating of the upward signal that receives according to the base station, the wave beam forming of down link calculates.Upward signal when the base station is interfered, up link detects when producing flase drop, the figuration factor that calculates should be insecure, but still can give terminal with the data distributing of this insecure each antenna of shape-endowing weight value weighting with regard to present technology, cause the directivity mistake of wave beam, the gain of the reception signal of terminal significantly reduces, and can interfere with the reception signal with the other-end under the base station.
In sum, because all being channel estimating of the upward signal that receives according to the base station, the wave beam forming of down link calculates, upward signal when the base station is interfered, can cause definite figuration factor unreliable, thereby the directivity mistake that occurs wave beam easily, the gain of received signal of terminal significantly reduces, and can interfere with the reception signal with the other-end under the base station.
Summary of the invention
The embodiment of the invention provides a kind of method and apparatus of wave beam forming, in order to solve exist in the prior art because the wave beam forming of down link all is channel estimating of the upward signal that receives according to the base station calculates, upward signal when the base station is interfered, can cause definite figuration factor unreliable, thereby the directivity mistake that occurs wave beam easily, the gain of received signal of terminal significantly reduces, and can interfere with the problem with the reception signal of the other-end under the base station.
The method of a kind of wave beam forming that the embodiment of the invention provides comprises:
Signal quality parameter value and the wave beam forming threshold value of terminal are compared;
According to comparative result, determine the downlink forming weights of described terminal;
Carry out wave beam forming according to described downlink forming weights.
Described wave beam forming threshold value comprises the activation detection threshold value; The downlink forming weights of described definite described terminal comprise:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value.
The downlink forming weights of described definite described terminal comprise: at the downlink forming weights of for the first time definite terminal, and when described signal quality parameter value is not less than described activation detection threshold value, the space covariance matrix of terminal current time is carried out characteristic vector method EBB calculate, obtain the downlink forming weights of described terminal.
Described wave beam forming threshold value comprises upward signal reliability threshold value; The downlink forming weights of described definite described terminal comprise:
, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value are compared during less than upward signal reliability threshold value in described signal quality parameter value, determine the downlink forming weights of described terminal according to comparative result;
When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time.
Described wave beam forming threshold value comprises activation detection threshold value and upward signal reliability threshold value, and activates detection threshold value less than upward signal reliability threshold value; The downlink forming weights of described definite described terminal comprise:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value;
Be not less than signal quality parameter value in described signal quality parameter value, and during less than upward signal reliability threshold value, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value compared, determine the downlink forming weights of described terminal according to comparative result;
When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time.
Described definite shape-endowing weight value correlation peak comprises:
The space covariance matrix of terminal current time is carried out EBB calculate, obtain shape-endowing weight value to be tested;
Described shape-endowing weight value to be tested and reliable shape-endowing weight value are carried out relevant, determine the shape-endowing weight value correlation peak;
Wherein, described reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value.
Described space covariance matrix according to the terminal current time determines that the downlink forming weights of described terminal comprise:
According to first forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtain recursion matrix, and according to recursion matrix determine the downlink forming weights of terminal, wherein said reliable space covariance matrix be the last when signal quality parameter value is not less than upward signal reliability threshold value the space covariance matrix of described terminal;
Describedly determine that according to comparative result the downlink forming weights comprise:
At described shape-endowing weight value correlation peak during less than shape-endowing weight value reliability threshold value, with the downlink forming weights of reliable shape-endowing weight value as described terminal, wherein said reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value;
When described shape-endowing weight value correlation peak is not less than shape-endowing weight value reliability threshold value, according to second forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtain recursion matrix, and according to recursion matrix determine the downlink forming weights of terminal, wherein said reliable space covariance matrix be the last when signal quality parameter value is not less than upward signal reliability threshold value the space covariance matrix of described terminal;
Wherein, first forgetting factor is less than second forgetting factor.
The equipment of a kind of wave beam forming that the embodiment of the invention provides comprises:
Comparison module is used for signal quality parameter value and the wave beam forming threshold value of terminal are compared;
The weights determination module is used for according to comparative result, determines the downlink forming weights of described terminal;
Processing module is used for carrying out wave beam forming according to described downlink forming weights.
Described wave beam forming threshold value comprises the activation detection threshold value; Described weights determination module specifically is used for:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value.
Described weights determination module also is used for:
For the first time determining the downlink forming weights of terminal, and described signal quality parameter value carries out characteristic vector method EBB with the space covariance matrix of terminal current time and calculate when being not less than described activation detection threshold value, obtain the downlink forming weights of described terminal.
Described wave beam forming threshold value comprises upward signal reliability threshold value; Described weights determination module specifically is used for:
, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value are compared during less than upward signal reliability threshold value in described signal quality parameter value, determine the downlink forming weights of described terminal according to comparative result; When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time.
Described wave beam forming threshold value comprises activation detection threshold value and upward signal reliability threshold value, and activates detection threshold value less than upward signal reliability threshold value; Described weights determination module specifically is used for:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value; Be not less than signal quality parameter value in described signal quality parameter value, and during less than upward signal reliability threshold value, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value compared, determine the downlink forming weights of described terminal according to comparative result; When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time.
Described weights determination module specifically is used for:
The space covariance matrix of terminal current time is carried out EBB calculate, obtain shape-endowing weight value to be tested; Described shape-endowing weight value to be tested and reliable shape-endowing weight value are carried out relevant, determine the shape-endowing weight value correlation peak;
Wherein, described reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value.
Described weights determination module specifically is used for:
According to first forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtain recursion matrix, and according to recursion matrix determine the downlink forming weights of terminal, wherein said reliable space covariance matrix be the last when signal quality parameter value is not less than upward signal reliability threshold value the space covariance matrix of described terminal; At described shape-endowing weight value correlation peak during less than shape-endowing weight value reliability threshold value, with the downlink forming weights of reliable shape-endowing weight value as described terminal, wherein said reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value; When described shape-endowing weight value correlation peak is not less than shape-endowing weight value reliability threshold value, according to second forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtain recursion matrix, and according to recursion matrix determine the downlink forming weights of terminal, wherein said reliable space covariance matrix be the last when signal quality parameter value is not less than upward signal reliability threshold value the space covariance matrix of described terminal;
Wherein, first forgetting factor is less than second forgetting factor.
Because the comparative result according to signal quality parameter value and the wave beam forming threshold value of terminal, determine the downlink forming weights of described terminal, thereby improved the reliability of downlink forming, reduced the situation of the directivity mistake that wave beam occurs, improved terminal and received the gain of signal, and reduced the interference with the reception signal of the other-end under the base station; The system performance degradation of further avoiding the flase drop situation to bring.
Description of drawings
Fig. 1 is the method flow schematic diagram of embodiment of the invention wave beam forming;
Fig. 2 is the device structure schematic diagram of embodiment of the invention wave beam forming;
Fig. 3 carries out the method flow schematic diagram of wave beam forming for the embodiment of the invention adopts three threshold values.
Embodiment
The embodiment of the invention is according to the comparative result of signal quality parameter value and the wave beam forming threshold value of terminal, determine the downlink forming weights of terminal, carry out wave beam forming according to the downlink forming weights of determining, thereby improved the reliability of downlink forming, reduce the situation of the directivity mistake that wave beam occurs, improved the gain of terminal reception signal.
Wherein, embodiment of the invention signal quality parameter value includes but not limited to a kind of in the following parameters value:
SNR (signal to noise ratio) value, RSCP (Received Signal Code Power, received signal code power) value.
Below in conjunction with Figure of description the embodiment of the invention is described in further detail.
As shown in Figure 1, the method for embodiment of the invention wave beam forming comprises the following steps:
Wherein, the wave beam forming threshold value can include only and activate detection threshold value T1; Can include only upward signal reliability threshold value T2; Can also comprise and activate detection threshold value T1 and upward signal reliability threshold value T2.Be introduced respectively below.
Situation one, wave beam forming threshold value comprise activation detection threshold value T1.
In the step 101, determine the current demand signal mass parameter value of terminal, and the signal quality parameter value of determining is compared with activation detection threshold value T1.
Accordingly, in the step 102, when activating detection threshold value T1, the downlink forming weights of determining terminal are omnidirectional's shape-endowing weight values in signal quality parameter value.
When signal quality parameter value is not less than activation detection threshold value T1, can determine the downlink forming weights according to the mode of prior art, also can adopt other modes to determine the downlink forming weights.
In force, can preestablish downlink forming weights as the downlink forming weights of the terminal of determining for the first time.Predefined downlink forming weights can rule of thumb be worth or statistical value is determined.
Preferable, if determine the downlink forming weights of terminal for the first time, when activating detection threshold value T1, the downlink forming weights of determining terminal are omnidirectional's shape-endowing weight values in signal quality parameter value; Be not less than when activating detection threshold value T1 in signal quality parameter value, (k n) carries out EBB (Eigenvalue Based Beamforming, characteristic vector method) and calculates, and obtains the downlink forming weights of terminal with the space covariance matrix R of terminal current time.R (k, n) k terminal of expression be at the covariance matrix of n subframe, the R that occurs below (k, n) equivalent in meaning in repeat specification.
Situation two, wave beam forming threshold value comprise upward signal reliability threshold value T2.
In the step 101, determine the current demand signal mass parameter value of terminal, and signal quality parameter value and the upward signal reliability threshold value T2 that determines compared.
Accordingly, in the step 102, in signal quality parameter value during less than upward signal reliability threshold value T2, determine shape-endowing weight value correlation peak W_peak, and shape-endowing weight value correlation peak W_peak and shape-endowing weight value reliability threshold value T3 compared, determine the downlink forming weights of terminal according to comparative result;
When signal quality parameter value was not less than upward signal reliability threshold value T2, (k n) determined the downlink forming weights of terminal according to the space covariance matrix R of terminal current time.
Concrete, when signal quality parameter value is not less than upward signal reliability threshold value T2, according to the first forgetting factor P1, space covariance matrix R (k with the terminal current time, n) and reliable space covariance matrix R_MEAN (k, n-m) it is average to carry out recurrence, obtain recursion matrix R_MEAN (k, n), and according to recursion matrix R_MEAN (k n) determines the downlink forming weights of terminal, wherein reliable space covariance matrix R_MEAN (k, n-m) be the space covariance matrix of the last time terminal when signal quality parameter value is not less than upward signal reliability threshold value, n-m subframe is exactly the last corresponding subframe.
Specifically can adopt formula one determine recursion matrix R_MEAN (k, n):
R_MEAN (k, n)=P1 * R_MEAN (k, n-1)+(1-P1) * R (k, n) .... formula one.
When signal quality parameter value is not less than upward signal reliability threshold value T2, determine downlink forming weights and space covariance matrix R (k, n) after, with the downlink forming weights determined as reliable shape-endowing weight value, with the space covariance matrix R (k that determines, n) as reliable space covariance matrix R_MEAN (k, n-m).Like this next time when the downlink forming weights of computing terminal, reliable shape-endowing weight value and reliable space covariance matrix be exactly this downlink forming weights and space covariance matrix R (k, n).
During less than upward signal reliability threshold value T2, can adopt following manner to determine shape-endowing weight value correlation peak W_peak in signal quality parameter value:
(k n) carries out EBB and calculates, and obtains shape-endowing weight value W (k to be tested with the space covariance matrix R of terminal current time, n), (k is n) with reliable shape-endowing weight value W_RELIABLE (k with shape-endowing weight value W to be tested, n-m) be correlated with, determine shape-endowing weight value correlation peak W_peak according to correlated results; Wherein, (k n-m) is the downlink forming weights of the last terminal of determining to reliable shape-endowing weight value W_RELIABLE when signal quality parameter value is not less than upward signal reliability threshold value, n-m subframe is exactly the last corresponding subframe.
In the step 102, at shape-endowing weight value correlation peak W_peak during less than shape-endowing weight value reliability threshold value T3, (k is n-m) as the downlink forming weights of terminal with reliable shape-endowing weight value W_RELIABLE;
When shape-endowing weight value correlation peak W_peak is not less than shape-endowing weight value reliability threshold value T3, according to the second forgetting factor P2, space covariance matrix R (k with the terminal current time, n) and reliable space covariance matrix R_MEAN (k, n-m) it is average to carry out recurrence, obtain recursion matrix R_MEAN (k, n), and determine the downlink forming weights of terminal according to recursion matrix, reliable space covariance matrix R_MEAN (k wherein, n-m) be the space covariance matrix of the last time terminal when signal quality parameter value is not less than upward signal reliability threshold value, n-m subframe is exactly the last corresponding subframe, and the first forgetting factor P1 is less than the second forgetting factor P2.
Specifically can adopt formula two determine recursion matrix R_MEAN (k, n):
R_MEAN (k, n)=P2 * R_MEAN (k, n-1)+(1-P2) * R (k, n) .... formula two.
In force, can preestablish downlink forming weights as the downlink forming weights of the terminal of determining for the first time.Predefined downlink forming weights can rule of thumb be worth or statistical value is determined.
Preferable, determine for the first time in the situation two terminal the downlink forming weights mode also can with situation one in determine that for the first time the mode of downlink forming weights of terminal is identical.Specifically can not repeat them here referring to the mode in the situation one.
Situation three, wave beam forming threshold value comprise activation detection threshold value T1 and upward signal reliability threshold value T2, and activate detection threshold value T1 less than upward signal reliability threshold value T2.
In the step 101, determine the current demand signal mass parameter value of terminal, and the signal quality parameter value of determining is compared with activation detection threshold value T1 and upward signal reliability threshold value T2.
Accordingly, in the step 102, when activating detection threshold value T1, the downlink forming weights of determining terminal are omnidirectional's shape-endowing weight values in signal quality parameter value;
Be not less than signal quality parameter value T1 in signal quality parameter value, and during less than upward signal reliability threshold value T2, determine shape-endowing weight value correlation peak W_peak, and shape-endowing weight value correlation peak W_peak and shape-endowing weight value reliability threshold value T3 compared, determine the downlink forming weights of terminal according to comparative result;
When signal quality parameter value was not less than upward signal reliability threshold value T2, (k n) determined the downlink forming weights of terminal according to the space covariance matrix R of terminal current time.
Wherein, signal quality parameter value is not less than signal quality parameter value T1 in the situation three, and the concrete processing mode during less than upward signal reliability threshold value T2, the processing mode with signal quality parameter value in the situation two during less than upward signal reliability threshold value T2 is identical, does not repeat them here.
Concrete processing mode when signal quality parameter value is not less than upward signal reliability threshold value T2 in the situation three, the processing mode when being not less than upward signal reliability threshold value T2 with signal quality parameter value in the situation two is identical, does not repeat them here.
In force, can preestablish downlink forming weights as the downlink forming weights of the terminal of determining for the first time.Predefined downlink forming weights can rule of thumb be worth or statistical value is determined.
Preferable, determine for the first time in the situation three terminal the downlink forming weights mode also can with situation one in determine that for the first time the mode of downlink forming weights of terminal is identical.Specifically can not repeat them here referring to the mode in the situation one.
Activation detection threshold value in the situation one～three, upward signal reliability threshold value and shape-endowing weight value reliability threshold value can be set as required.
The executive agent of the embodiment of the invention can be base station (such as macro base station, Home eNodeB etc.), also can be RN (relaying) equipment, can also be other network equipment.
Based on same inventive concept, a kind of equipment of wave beam forming also is provided in the embodiment of the invention, because the principle that this equipment is dealt with problems and the unit affinity of wave beam forming, so the enforcement of this equipment can repeat part and repeat no more referring to the enforcement of method.
As shown in Figure 2, the equipment of embodiment of the invention wave beam forming comprises: comparison module 10, weights determination module 20 and processing module 30.
Wherein, the wave beam forming threshold value can include only and activate detection threshold value T1; Can include only upward signal reliability threshold value T2; Can also comprise and activate detection threshold value T1 and upward signal reliability threshold value T2.Be introduced respectively below.
Situation one, wave beam forming threshold value comprise activation detection threshold value T1.
Accordingly, when activating detection threshold value T1, the downlink forming weights of determining terminal are omnidirectional's shape-endowing weight values to weights determination module 20 in signal quality parameter value.
When signal quality parameter value was not less than activation detection threshold value T1, weights determination module 20 can be determined the downlink forming weights according to the mode of prior art, also can adopt other modes to determine the downlink forming weights.
In force, can preestablish downlink forming weights as the downlink forming weights of the terminal of determining for the first time.Predefined downlink forming weights can rule of thumb be worth or statistical value is determined.
Preferable, if determine the downlink forming weights of terminal for the first time, when activating detection threshold value T1, weights determination module 20 determines that the downlink forming weights of terminals are omnidirectional's shape-endowing weight values in signal quality parameter value; Be not less than when activating detection threshold value T1 in signal quality parameter value, (k n) carries out EBB and calculates weights determination module 20, obtains the downlink forming weights of terminal with the space covariance matrix R of terminal current time.
Situation two, wave beam forming threshold value comprise upward signal reliability threshold value T2.
Accordingly, weights determination module 20 is in signal quality parameter value during less than upward signal reliability threshold value T2, determine shape-endowing weight value correlation peak W_peak, and shape-endowing weight value correlation peak W_peak and shape-endowing weight value reliability threshold value T3 compared, determine the downlink forming weights of terminal according to comparative result;
When signal quality parameter value was not less than upward signal reliability threshold value T2, (k n) determined the downlink forming weights of terminal to weights determination module 20 according to the space covariance matrix R of terminal current time.
Concrete, when signal quality parameter value is not less than upward signal reliability threshold value T2, according to the first forgetting factor P1, space covariance matrix R (k with the terminal current time, n) and reliable space covariance matrix R_MEAN (k, n-m) it is average to carry out recurrence, obtain recursion matrix R_MEAN (k, n), and according to recursion matrix R_MEAN (k n) determines the downlink forming weights of terminal, wherein reliable space covariance matrix R_MEAN (k, n-m) be the space covariance matrix of the last time terminal when signal quality parameter value is not less than upward signal reliability threshold value, n-m subframe is exactly the last corresponding subframe.
When signal quality parameter value is not less than upward signal reliability threshold value T2, weights determination module 20 is determined downlink forming weights and space covariance matrix R (k, n) after, with the downlink forming weights determined as reliable shape-endowing weight value, with the space covariance matrix R (k that determines, n) as reliable space covariance matrix R_MEAN (k, n-m).Like this next time when the downlink forming weights of computing terminal, reliable shape-endowing weight value and reliable space covariance matrix be exactly this downlink forming weights and space covariance matrix R (k, n).
During less than upward signal reliability threshold value T2, weights determination module 20 can adopt following manner to determine shape-endowing weight value correlation peak W_peak in signal quality parameter value:
(k n) carries out EBB and calculates, and obtains shape-endowing weight value W (k to be tested with the space covariance matrix R of terminal current time, n), (k is n) with reliable shape-endowing weight value W_RELIABLE (k with shape-endowing weight value W to be tested, n-m) be correlated with, determine shape-endowing weight value correlation peak W_peak according to correlated results; Wherein, (k n-m) is the downlink forming weights of the last terminal of determining to reliable shape-endowing weight value W_RELIABLE when signal quality parameter value is not less than upward signal reliability threshold value, n-m subframe is exactly the last corresponding subframe.
At shape-endowing weight value correlation peak W_peak during less than shape-endowing weight value reliability threshold value T3, (k is n-m) as the downlink forming weights of terminal with reliable shape-endowing weight value W_RELIABLE for weights determination module 20;
When shape-endowing weight value correlation peak W_peak is not less than shape-endowing weight value reliability threshold value T3, weights determination module 20 is according to the second forgetting factor P2, space covariance matrix R (k with the terminal current time, n) and reliable space covariance matrix R_MEAN (k, n-m) it is average to carry out recurrence, obtain recursion matrix R_MEAN (k, n), and determine the downlink forming weights of terminal according to recursion matrix, reliable space covariance matrix R_MEAN (k wherein, n-m) be the space covariance matrix of the last time terminal when signal quality parameter value is not less than upward signal reliability threshold value, n-m subframe is exactly the last corresponding subframe, and the first forgetting factor P1 is less than the second forgetting factor P2.
In force, can preestablish downlink forming weights as the downlink forming weights of the terminal of determining for the first time.Predefined downlink forming weights can rule of thumb be worth or statistical value is determined.
Preferable, determine for the first time in the situation two terminal the downlink forming weights mode also can with situation one in determine that for the first time the mode of downlink forming weights of terminal is identical.Specifically can not repeat them here referring to the mode in the situation one.
Situation three, wave beam forming threshold value comprise activation detection threshold value T1 and upward signal reliability threshold value T2, and activate detection threshold value T1 less than upward signal reliability threshold value T2.
Accordingly, when activating detection threshold value T1, the downlink forming weights of determining terminal are omnidirectional's shape-endowing weight values to weights determination module 20 in signal quality parameter value; Be not less than signal quality parameter value T1 in signal quality parameter value, and during less than upward signal reliability threshold value T2, determine shape-endowing weight value correlation peak W_peak, and shape-endowing weight value correlation peak W_peak and shape-endowing weight value reliability threshold value T3 compared, determine the downlink forming weights of terminal according to comparative result; When signal quality parameter value was not less than upward signal reliability threshold value T2, (k n) determined the downlink forming weights of terminal according to the space covariance matrix R of terminal current time.
Wherein, signal quality parameter value is not less than signal quality parameter value T1 in the situation three, and the concrete processing mode of weights determination module 20 during less than upward signal reliability threshold value T2, the processing mode of weights determination module 20 is identical during less than upward signal reliability threshold value T2 with signal quality parameter value in the situation two, does not repeat them here.
Concrete processing mode when signal quality parameter value is not less than upward signal reliability threshold value T2 in the situation three, the processing mode when being not less than upward signal reliability threshold value T2 with signal quality parameter value in the situation two is identical, does not repeat them here.
In force, can preestablish downlink forming weights as the downlink forming weights of the terminal of determining for the first time.Predefined downlink forming weights can rule of thumb be worth or statistical value is determined.
Preferable, determine for the first time in the situation three terminal the downlink forming weights mode also can with situation one in determine that for the first time the mode of downlink forming weights of terminal is identical.Specifically can not repeat them here referring to the mode in the situation one.
Activation detection threshold value in the situation one～three, upward signal reliability threshold value and shape-endowing weight value reliability threshold value can be set as required.
The equipment of embodiment of the invention wave beam forming can be base station (such as macro base station, Home eNodeB etc.), also can be RN equipment, can also be other network equipment.
Describe with a concrete example below.
Suppose that signal quality parameter value is SNR; The wave beam forming threshold value comprises activation detection threshold value T1 and upward signal reliability threshold value T2, and activates detection threshold value T1 less than upward signal reliability threshold value T2; Not initially to determine the downlink forming weights.
As shown in Figure 3, the embodiment of the invention method that adopts three threshold values to carry out wave beam forming comprises the following steps:
Detect by activating, think that the signal of this terminal may be reliable signal; Not detecting by activating, illustrate that the quality of uplink signal of this terminal is very poor, is that the probability of flase drop signal is very big.
Detect by upward signal, can think that the signal of this terminal is reliable signal; Not detecting by activating, illustrate that the quality of uplink signal of this terminal is poor, might be the flase drop signal.
Wherein, (k n) determines according to the uplink channel estimation result space covariance matrix R of terminal current time.
Detect by shape-endowing weight value, can think the non-flase drop of signal of this terminal, the shape-endowing weight value of this moment calculate need more with reference to reliable space covariance matrix R_MEAN (k, n-m); Pass through activation and detect, the quality of uplink signal that this terminal is described is that the probability of flase drop signal is very big, and the reliable space covariance matrix R_MEAN of the complete reference of shape-endowing weight value calculating of this moment (k, n-m).
Those skilled in the art should understand that embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt complete hardware embodiment, complete software embodiment or in conjunction with the form of the embodiment of software and hardware aspect.And the present invention can adopt the form of the computer program of implementing in one or more computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) that wherein include computer usable program code.
The present invention is that reference is described according to flow chart and/or the block diagram of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block diagram and/or square frame and flow chart and/or the block diagram and/or the combination of square frame.Can provide these computer program instructions to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, make the instruction of carrying out by the processor of computer or other programmable data processing device produce to be used for the device of the function that is implemented in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, make the instruction that is stored in this computer-readable memory produce the manufacture that comprises command device, this command device is implemented in the function of appointment in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame.
These computer program instructions also can be loaded on computer or other programmable data processing device, make and carry out the sequence of operations step producing computer implemented processing at computer or other programmable devices, thereby be provided for being implemented in the step of the function of appointment in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame in the instruction that computer or other programmable devices are carried out.
Although described the preferred embodiments of the present invention, in a single day those skilled in the art get the basic creative concept of cicada, then can make other change and modification to these embodiment.So claims are intended to all changes and the modification that are interpreted as comprising preferred embodiment and fall into the scope of the invention.
Because signal quality parameter value and wave beam forming threshold value according to terminal compare the result, determine the downlink forming weights of terminal, thereby improved the reliability of downlink forming, reduced the situation of the directivity mistake that wave beam occurs, improved terminal and received the gain of signal, and reduced the interference with the reception signal of the other-end under the base station; The system performance degradation of further avoiding the flase drop situation to bring.
The embodiment of the invention can be than more comprehensively according to the demodulation performance of terminal, have at the calculating shape-endowing weight value, carry out wave beam forming; And the various thresholdings that the figuration scheme of the embodiment of the invention is utilized, can be at the RST of terminal, adjust the computational methods of the figuration factor, further avoid blindly according to upward signal the beam directional mistake that downlink forming causes is influenced the gain of the reception signal of terminal.
The embodiment of the invention is big at system interference, under the terminal upward signal variation situation greatly, the inaccurate problem of wave beam forming, the embodiment of the invention can be used the reliability of the relevant characteristic difference upward signal of the figuration factor, carry out the calculating of the figuration factor, and can allow the figuration direction smooth variation of terminal by the average method of recurrence, avoid occurring the situation that the saltus step of the figuration factor brings system interference to increase and occur.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (8)
1. the method for a wave beam forming is characterized in that, this method comprises:
Signal quality parameter value and the wave beam forming threshold value of terminal are compared;
According to comparative result, determine the downlink forming weights of described terminal;
Carry out wave beam forming according to described downlink forming weights;
Wherein, described wave beam forming threshold value comprises the activation detection threshold value, and the downlink forming weights of described definite described terminal comprise:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value;
Described wave beam forming threshold value comprises upward signal reliability threshold value, and the downlink forming weights of described definite described terminal comprise:
, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value are compared during less than upward signal reliability threshold value in described signal quality parameter value, determine the downlink forming weights of described terminal according to comparative result; When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time;
Described wave beam forming threshold value comprises activation detection threshold value and upward signal reliability threshold value, and activates detection threshold value less than upward signal reliability threshold value, and the downlink forming weights of described definite terminal comprise:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value; Be not less than described activation detection threshold value in described signal quality parameter value, and during less than upward signal reliability threshold value, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value compared, determine the downlink forming weights of described terminal according to comparative result; When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time.
2. the method for claim 1 is characterized in that, described wave beam forming threshold value comprises the activation detection threshold value, and the downlink forming weights of described definite described terminal comprise:
For the first time determining the downlink forming weights of terminal, and described signal quality parameter value carries out characteristic vector method EBB with the space covariance matrix of terminal current time and calculate when being not less than described activation detection threshold value, obtain the downlink forming weights of described terminal.
3. the method for claim 1 is characterized in that, described definite shape-endowing weight value correlation peak comprises:
The space covariance matrix of terminal current time is carried out characteristic vector method EBB calculate, obtain shape-endowing weight value to be tested;
Described shape-endowing weight value to be tested and reliable shape-endowing weight value are carried out relevant, determine the shape-endowing weight value correlation peak;
Wherein, described reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value.
4. the method for claim 1 is characterized in that, described space covariance matrix according to the terminal current time determines that the downlink forming weights of described terminal comprise:
According to first forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtains recursion matrix, and determine the downlink forming weights of terminal according to recursion matrix;
Describedly determine that according to comparative result the downlink forming weights comprise:
At described shape-endowing weight value correlation peak during less than shape-endowing weight value reliability threshold value, with the downlink forming weights of reliable shape-endowing weight value as described terminal, wherein said reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value;
When described shape-endowing weight value correlation peak is not less than shape-endowing weight value reliability threshold value, according to second forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtain recursion matrix, and determine the downlink forming weights of terminal according to recursion matrix;
Wherein said reliable space covariance matrix is the space covariance matrix of the last time described terminal when signal quality parameter value is not less than upward signal reliability threshold value;
Wherein, first forgetting factor is less than second forgetting factor.
5. the equipment of a wave beam forming is characterized in that, this equipment comprises:
Comparison module is used for signal quality parameter value and the wave beam forming threshold value of terminal are compared;
The weights determination module is used for according to comparative result, determines the downlink forming weights of described terminal;
Processing module is used for carrying out wave beam forming according to described downlink forming weights;
Wherein, described wave beam forming threshold value comprises the activation detection threshold value, and described weights determination module specifically is used for:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value;
Described wave beam forming threshold value comprises upward signal reliability threshold value, and described weights determination module specifically is used for:
, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value are compared during less than upward signal reliability threshold value in described signal quality parameter value, determine the downlink forming weights of described terminal according to comparative result; When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming power of described terminal according to the space covariance matrix of terminal current time;
Described wave beam forming threshold value comprises activation detection threshold value and upward signal reliability threshold value, and activates detection threshold value less than upward signal reliability threshold value, and described weights determination module specifically is used for:
During less than described activation detection threshold value, the downlink forming weights of determining described terminal are omnidirectional's shape-endowing weight values in described signal quality parameter value; Be not less than described activation detection threshold value in described signal quality parameter value, and during less than upward signal reliability threshold value, determine the shape-endowing weight value correlation peak, and shape-endowing weight value correlation peak and shape-endowing weight value reliability threshold value compared, determine the downlink forming weights of described terminal according to comparative result; When described signal quality parameter value is not less than upward signal reliability threshold value, determine the downlink forming weights of described terminal according to the space covariance matrix of terminal current time.
6. equipment as claimed in claim 5 is characterized in that, described wave beam forming threshold value comprises the activation detection threshold value, and described weights determination module also is used for:
For the first time determining the downlink forming weights of terminal, and described signal quality parameter value carries out characteristic vector method EBB with the space covariance matrix of terminal current time and calculate when being not less than described activation detection threshold value, obtain the downlink forming weights of described terminal.
7. equipment as claimed in claim 5 is characterized in that, described weights determination module specifically is used for:
The space covariance matrix of terminal current time is carried out characteristic vector method EBB calculate, obtain shape-endowing weight value to be tested; Described shape-endowing weight value to be tested and reliable shape-endowing weight value are carried out relevant, determine the shape-endowing weight value correlation peak;
Wherein, described reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value.
8. equipment as claimed in claim 5 is characterized in that, described weights determination module specifically is used for:
According to first forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtains recursion matrix, and determine the downlink forming weights of terminal according to recursion matrix; At described shape-endowing weight value correlation peak during less than shape-endowing weight value reliability threshold value, with the downlink forming weights of reliable shape-endowing weight value as described terminal, wherein said reliable shape-endowing weight value is the downlink forming weights of the last described terminal of determining when signal quality parameter value is not less than upward signal reliability threshold value; When described shape-endowing weight value correlation peak is not less than shape-endowing weight value reliability threshold value, according to second forgetting factor, it is average that the space covariance matrix of described terminal current time and reliable space covariance matrix are carried out recurrence, obtain recursion matrix, and determine the downlink forming weights of terminal according to recursion matrix;
Wherein said reliable space covariance matrix is the space covariance matrix of the last time described terminal when signal quality parameter value is not less than upward signal reliability threshold value;
Wherein, first forgetting factor is less than second forgetting factor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010593026 CN102064871B (en) | 2010-12-16 | 2010-12-16 | Method and device for beamforming |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010593026 CN102064871B (en) | 2010-12-16 | 2010-12-16 | Method and device for beamforming |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102064871A CN102064871A (en) | 2011-05-18 |
| CN102064871B true CN102064871B (en) | 2013-08-07 |
Family
ID=43999996
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201010593026 Active CN102064871B (en) | 2010-12-16 | 2010-12-16 | Method and device for beamforming |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102064871B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101980091B1 (en) | 2012-10-18 | 2019-05-20 | 삼성전자주식회사 | Apparatus and method for cooperative communication in wireless communication system |
| CN103036650B (en) * | 2012-12-14 | 2016-08-03 | 大唐移动通信设备有限公司 | A kind of beam forming processing method and apparatus |
| US11206566B2 (en) | 2017-08-09 | 2021-12-21 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method for downlink signal transmission, terminal device and network device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000033481A1 (en) * | 1998-11-30 | 2000-06-08 | Fujitsu Limited | Receiving apparatus including adaptive beamformers |
| CN101321008A (en) * | 2007-06-07 | 2008-12-10 | 中兴通讯股份有限公司 | Descending beam forming emission method and device |
| CN101359946A (en) * | 2007-07-30 | 2009-02-04 | 大唐移动通信设备有限公司 | Method and apparatus for wave beam shaping |
-
2010
- 2010-12-16 CN CN 201010593026 patent/CN102064871B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000033481A1 (en) * | 1998-11-30 | 2000-06-08 | Fujitsu Limited | Receiving apparatus including adaptive beamformers |
| CN101321008A (en) * | 2007-06-07 | 2008-12-10 | 中兴通讯股份有限公司 | Descending beam forming emission method and device |
| CN101359946A (en) * | 2007-07-30 | 2009-02-04 | 大唐移动通信设备有限公司 | Method and apparatus for wave beam shaping |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102064871A (en) | 2011-05-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10348376B2 (en) | Wireless communication device and wireless communication method | |
| US10291305B2 (en) | Beam training method and device in communication system | |
| JP5408586B2 (en) | Power control method, cognitive radio communication system, and radio communication device in cognitive radio communication | |
| US11165486B2 (en) | Beamforming device for antenna arrays | |
| EP3349367B1 (en) | Method of determining communication beam, and corresponding device | |
| US10045239B2 (en) | Method and system for detecting idle channel in wireless communication system | |
| EP2171875B1 (en) | Antenna weigths calculation based on users ' interference rejection capabilities | |
| KR101495198B1 (en) | Virtual multiple-input multiple-output communication method and device | |
| US20160134015A1 (en) | Antenna directivity control system | |
| Khodier et al. | Beamforming and power control for interference reduction in wireless communications using particle swarm optimization | |
| CN101119147A (en) | Method and device of estimating space arrival direction | |
| EP3050222B1 (en) | Two-stage precoding and user grouping for large scale multiple-input multiple-output (mimo) systems | |
| US7940690B2 (en) | Apparatus and method for determining transmission mode in wireless communication system | |
| US9407339B2 (en) | Monotonic optimization method for achieving the maximum weighted sum-rate in multicell downlink MISO systems | |
| CN102064871B (en) | Method and device for beamforming | |
| KR101290918B1 (en) | Communication system for using interference alignment scheme in multicell environment | |
| US10523302B2 (en) | Apparatus and method for selecting beam pattern in communication system supporting beamforming scheme | |
| US7209707B2 (en) | Radio receiving device, array parameter optimal value estimation method, and array parameter optimal value estimation program | |
| CN114978268B (en) | Method and device for optimizing length of honeycomb-removed pilot frequency, electronic equipment and storage medium | |
| KR20030034199A (en) | Method and apparatus for determining an operating condition in a communications system | |
| CN105406906B (en) | Location-based method for precoding and system | |
| KR20140048767A (en) | Method and apparatus for user equipment selection in wireless communication system | |
| US9288029B2 (en) | Method and apparatus for adaptive channel direction information feedback in a heterogeneous system | |
| US8554149B2 (en) | Directivity control system, control device, cooperative station device, reception station device, and method of controlling directivity | |
| CN104052553B (en) | Device and method in radio communications 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 | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |