CN104079329A - Virtual antenna port mapping method and base station - Google Patents

Abstract

The invention provides a virtual antenna port mapping method and a base station, and relates to the field of communication. The virtual antenna port mapping method and the base station can be used for solving the problem that in the prior art, the system is low in overall handling capacity performance because of a fixed VAM matrix, different RRU antenna port phase positions and wireless environment. The method includes the steps that a baseband processing unit acquires information of a channel between a remote radio unit and user equipment, the channel comprises at least one of an uplink channel and a downlink channel, and a first VAM matrix is determined according to the information of the channel and used for mapping between virtual antenna ports of the BBU and the physical antenna ports of the RRU, the first VAM matrix is sent to the RRU, and after the RRU receives the first VAM matrix from the BBU, the virtual antenna ports are mapped to the physical antenna ports through the first VAM matrix. The virtual antenna port mapping method and the base station are used for VAM.

Description

A kind of mapping method of virtual-antenna port and base station

Technical field

The present invention relates to the communications field, relate in particular to a kind of mapping method and base station of virtual-antenna port.

Background technology

At Long Term Evolution (English: Long-term evolution, abbreviation: LTE) in system, descending virtual-antenna mapping (English: Virtual Antenna Mapping, abbreviation: VAM) be remote radio unit (RRU) (English: Remote Radio Unit, abbreviation: RRU) to the Physical Downlink Shared Channel (English: Physical Downlink Shared Channel except in transmission mode TM7/8 (English: Transmission Mode7/8), abbreviation: PDSCH) outer downlink data is weighted, weighted data is after framing, follow-up doing sent out channel correcting.Because the antenna in agreement is virtual-antenna port, in real system application, also can adopt than the more physical antenna number of virtual-antenna port, need to virtual-antenna port data be mapped to physical antenna port by VAM like this.

What the VAM weighting technique in existing product adopted is fixing VAM mapping matrix, VAM mapping matrix is all fixed value for different RRU or different moment, and because present antenna may not be corrected to antenna opening, so may cause the antennal interface phase place of different RRU different due to length of cable difference, interface elasticity, add different landform, different wireless channel environments, different user location distribution, will cause different websites, not even with moment, the optimum VAM mapping matrix difference of different subcarrier in frequency domain.If according to the mapping mode of the fixing VAM mapping matrix of existing employing, can affect entire system throughput performance.

Summary of the invention

Embodiments of the invention provide a kind of mapping method and base station of virtual-antenna port, the lower problem of entire system throughput performance that can cause in order to solve existing because fixing VAN mapping matrix and different RRU antenna port phase place and wireless environment.

For achieving the above object, embodiments of the invention adopt following technical scheme:

The embodiment of the present invention provides a kind of base station, comprises baseband processing unit BBU and remote radio unit (RRU) RRU,

Described BBU is for obtaining the information of the channel between described RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Described BBU is also for determining the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU;

Described BBU is also for sending to described RRU by a described VAM matrix;

Described RRU, for receiving from described BBU a described VAM matrix, utilizes a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port.

Second aspect, provides a kind of mapping method of virtual-antenna port, comprising:

Obtain the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of described RRU;

A described VAM matrix is sent to described RRU.

The third aspect, provides a kind of baseband processing unit BBU, comprising:

Acquisition module, for obtaining the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Determination module, for determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU;

Sending module, for sending to described RRU by a described VAM matrix.

The embodiment of the present invention provides a kind of mapping method and base station of virtual-antenna port, BBU obtains the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, channel comprise following at least one: up channel, down channel, determine the first virtual-antenna mapping VAM matrix according to the information of channel, the one VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of RRU, the one VAM matrix is sent to RRU, RRU is from BBU receives a VAM matrix, utilize a VAM matrix that virtual-antenna port mapping is arrived to physical antenna port, like this, can be according to the information of the antennal interface phase place of different RRUs and user corresponding to wireless environment channel, adjust the VAM matrix for the information of channel between different RRU and subscriber equipment, thereby promote the overall throughput performance that adopts the business of VAM mapping under RRU.

Brief description of the drawings

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

The structured flowchart that a kind of VAM that Fig. 1 provides for the embodiment of the present invention shines upon;

The mapping method schematic flow sheet of a kind of virtual-antenna port that Fig. 2 provides for the embodiment of the present invention;

A kind of baseband processing unit structured flowchart that Fig. 3 provides for the embodiment of the present invention;

Another baseband processing unit structured flowchart that Fig. 4 provides for the embodiment of the present invention;

The another kind of baseband processing unit structured flowchart that Fig. 5 provides for the embodiment of the present invention;

A kind of baseband processing unit structured flowchart that Fig. 6 provides for the embodiment of the present invention.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.

In 3G network, use distribution-type base station architecture, this distributed base station comprises remote radio unit (RRU) RRU and baseband processing unit (English: Baseband Unit, abbreviation: BBU), be connected between RRU and BBU by optical fiber.BBU concentrates and is placed on machine room, and RRU can be arranged on outdoor, and a BBU can support multiple RRU, can solve well the indoor covering of large stadium.

In real system, RRU need to be mapped to physical antenna port by virtual-antenna port data by VAM technology, VAM weighting technique is supported the mapping relations of 3 kinds of physical antennas to virtual-antenna at present, comprises that mapping relations 1.: 2 virtual port->4 physical ports; Mapping relations are 2.: 2 virtual port->8 physical ports; Mapping relations are 3.: 4 virtual port->8 physical ports, " > " represents mapping.

The embodiment of the present invention provides a kind of base station, comprises BBU and RRU, wherein:

Described BBU is for obtaining the information of the channel between described RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Described BBU is also for determining the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU;

Described BBU is also for sending to described RRU by a described VAM matrix;

Described RRU, for receiving from described BBU a described VAM matrix, utilizes a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port.

Optionally, the specific implementation that BBU obtains the information of the channel between RRU and user can be: BBU receives the upward signal that subscriber equipment sends, proofread and correct the up middle radio-frequency channel of described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal.

Concrete, BBU, receiving after the upward signal of subscriber equipment transmission, first can calculate according to upward signal the penalty coefficient of timing in the RRU of subscriber equipment place, and complete the correction of the up middle radio frequency path of RRU according to this penalty coefficient.

Then, BBU can obtain according to channel estimation technique the information of the up channel of the subscriber equipment under RRU, can be specifically: in TD-LTE system, subscriber equipment is in the time sending upward signal to base station, can comprise the up training sequence sending to base station, the up training sequence here can be measuring reference signals (English: Sounding Reference Signal, abbreviation: SRS), for channel estimating, wherein, a channel code of a training sequence mapping, base station can utilize SRS to carry out channel estimating in the time of channel-decoding, the information of the up channel when obtaining user and sending upward signal.

BBU is after the information of up channel of having obtained the multiple users under RRU, due at time division duplex (English: Time Division Duplex, abbreviation: TDD) in system, same frequency is all used to the uplink downlink channel of subscriber equipment in base station, like this, the propagation characteristic of uplink downlink is basic identical, channel parameter is basic identical, the channel impulse response that base station uplink receiving can be estimated directly applies to the transmission processing of down direction, vice versa, also be that up channel and down channel have reciprocity, base station can be according to the information of the down channel of the multiple subscriber equipmenies under this RRU of the information acquisition of up channel and RRU.

Optionally, the specific implementation that BBU obtains the information of the channel between RRU and user can also be: BBU receives the pre-coding matrix instruction PMI information that described subscriber equipment is corresponding, and the information of the described channel of definite pre-coding matrix instruction, wherein, described PMI information is used to indicate described pre-coding matrix.

Concrete, BBU sends and obtains transmitting pre-encoding matrix instruction (English to subscriber equipment; Precoding Matrix Indicator, abbreviation: request message PMI), after subscriber equipment receives, send PMI feedback message to BBU, this PMI feedback message comprises user's PMI pre-coding matrix information, like this, BBU just can be according to the information of the channel between PMI pre-coding matrix acquisition of information RRU and subscriber equipment.

In said process, subscriber equipment can estimate channel condition information according to cell common pilots, then from precoding matrix codebook, select a pre-coding matrix according to certain criterion, by the pre-coding matrix of selecting, the index in code book feeds back to base station by up channel again, this index is above-mentioned pre-coding matrix instruction PMI, because base station and subscriber equipment all store a set of code book that comprises several pre-coding matrixes, the pre-coding matrix to this use of subscriber equipment just can be determined according to pre-coding matrix instruction in base station like this, and the pre-coding matrix of user equipment to report can be regarded as the quantized value of channel condition information here, the pre-coding matrix that is to say user equipment to report is corresponding with the information of channel.

Further, BBU, after having obtained the information of the channel between RRU and subscriber equipment, then determines a VAM matrix according to the information of channel, and a VAM matrix is for stating the mapping between the virtual-antenna port of BBU and the physical antenna port of described RRU.

Concrete, in BBU, can add a VAM matrix and select module, the structure of carrying out VAM mapping due to existing base station can be: the module, the multiple-input and multiple-output (English: Multiple Input Multiple Output that comprise non-TM7/8PDSCH data, abbreviation MIMO) coding, VAM weighting, framing and a channel correcting, like this, the new VAM mapping structure block diagram adding after VAM matrix selection module can be as shown in Figure 1, and weight coefficient is just equivalent to a VAM matrix here.

VAM matrix is selected can preserve multiple VAM matrixes in module, multiple VAM matrixes comprise a VAM matrix and other VAM matrix, BBU determines that according to the information of channel a VAM matrix can be the information according to channel, selects a VAM matrix in multiple VAM matrixes.

Optionally, BBU can calculate according to the information of channel the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in multiple VAM matrixes, select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

Specifically, BBU is obtaining after the information of channel, the amplitude when information of channel comprises subscriber equipment transmitted signal, phase place, like this, each VAM matrix in multiple VAM matrixes can obtain according to amplitude and phase place the pseudo channel information of each virtual-antenna port, the corresponding signal to noise ratio of each pseudo channel information, then obtain the average signal-to-noise ratio estimated value of each virtual-antenna port according to the snr computation of each virtual-antenna port, then, choose VAM matrix corresponding to maximum average signal-to-noise ratio estimated value, using the VAM matrix of choosing as a VAM matrix.Here choose VAM matrix corresponding to maximum signal-to-noise ratio (SNR) estimation value, it is the relation that has direct ratio due to system descending throughput and signal to noise ratio, more system descending throughput is larger for signal to noise ratio, like this, choose VAM matrix corresponding to maximum signal-to-noise ratio (SNR) estimation value and can improve descending signal to noise ratio, can improve system descending throughput.

Optionally, BBU can be corresponding according to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of channel the mean value of mean square error of each virtual-antenna port, select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

Specifically, BBU is obtaining after the information of channel, the amplitude when information of channel comprises subscriber equipment transmitted signal, phase place, BBU can obtain according to each the VAM matrix computations in amplitude and phase place and multiple VAM matrix the mean square error of each virtual-antenna port like this, then calculate the mean value of the mean square error of each virtual-antenna port according to the mean square error of each virtual-antenna port, be mean square error mark, VAM matrix corresponding to mean value of choosing minimum mean square error is a VAM matrix.Here choose the VAM matrix corresponding to mean value of minimum mean square error, due to downlink throughput capacity and the descending mean square error mark relation that is inversely proportional to, descending mean square error is less, downlink throughput capacity is larger, like this, choose VAM matrix corresponding to least mean-square error mark estimated value and can reduce descending mean square error, can improve system descending throughput.Wherein, mean square error is the mean square error between the estimated value of downlink information and the actual value of downlink information of each virtual-antenna port.

Optionally, BBU can be corresponding according to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of channel the channel capacity of each virtual-antenna port, select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding, wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

Specifically, BBU is obtaining after the information of channel, the amplitude when information of channel comprises subscriber equipment transmitted signal, phase place, BBU can obtain according to the each VAM matrix computations in amplitude and phase place and multiple VAM matrix the channel capacity of each virtual-antenna port that each VAM matrix is corresponding like this, then, calculate the channel capacity sum of each virtual-antenna port that each VAM matrix is corresponding, choosing VAM matrix corresponding to maximum channel capacity sum is a VAM matrix.And choose VAM matrix corresponding to maximum channel capacity, it is the relation that has direct ratio due to system descending throughput and channel capacity, more system descending throughput is larger for channel capacity, like this, choose VAM matrix corresponding to maximum channel capacity and can improve down channel capacity, can improve system descending throughput.

Optionally, BBU can be corresponding according to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel the signal to noise ratio of each virtual-antenna port, select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes, wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

Specifically, this implementation is according to each VAM matrix, namely amplitude and the phase place of upward signal of information with channel, after calculating the signal to noise ratio of each virtual-antenna port that each VAM matrix is corresponding, from the signal to noise ratio of each virtual-antenna port, select the signal to noise ratio of the maximum virtual-antenna port that each VAM matrix is corresponding, then from the signal to noise ratio of maximum virtual-antenna port corresponding to each VAM matrix, again choosing the VAM matrix that maximum signal to noise ratio is corresponding is a VAM matrix, like this, according to the proportional relation of signal to noise ratio and system descending throughput, choose VAM matrix corresponding to maximum signal to noise ratio and carried out VAM mapping, can improve system descending throughput.

Optionally, BBU can be corresponding according to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel the mean square error of each virtual-antenna port, select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes, wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

Specifically, this implementation is according to each VAM matrix, namely amplitude and the phase place of upward signal of information with channel, after calculating the mean square error of each virtual-antenna port that each VAM matrix is corresponding, from the mean square error of each virtual-antenna port, select the mean square error of the minimum virtual-antenna port that each VAM matrix is corresponding, then from the mean square error of maximum virtual-antenna port corresponding to each VAM matrix, again choosing the VAM matrix that least mean-square error is corresponding is a VAM matrix, like this, according to the inverse relation of mean square error and system descending throughput, choose VAM matrix corresponding to least mean-square error and carried out VAM mapping, can improve system descending throughput.

Except above-mentioned implementation, another kind according to the implementation of the acquisition of information of channel the one VAM matrix can be: determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel, determine signal to noise ratio snr and the described R of described virtual-antenna port, relation between H meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue, determine a described VAM matrix according to described first eigenvector.

Wherein, above-mentioned formula is: described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

For instance, taking mapping relations: 2 virtual-antenna port->4 physical antenna ports are as example, and virtual-antenna port can be expressed as to the mapping of physical antenna port:

$\left[\begin{array}{c}{Y}^0(n_s,k,l)\\ Y^1(n_s,k,l)\\ Y^2(n_s,k,l)\\ Y^3(n_s,k,l)\end{array}\right]=\left[\begin{array}{cc}{w}_{00}& w_{01}\\ w_{10}& w_{11}\\ w_{20}& w_{21}\\ w_{30}& w_{31}\end{array}\right]\left[\begin{array}{c}{X}^0(n_s,k,l)\\ X^1(n_s,k,l)\end{array}\right],$ ? $\left[\begin{array}{c}{Y}^0(n_s,k,l)\\ Y^1(n_s,k,l)\\ Y^2(n_s,k,l)\\ Y^3(n_s,k,l)\end{array}\right]=\mathrm{WX}$

Wherein, $\left[\begin{array}{c}{Y}^0(n_s,k,l)\\ Y^1(n_s,k,l)\\ Y^2(n_s,k,l)\\ Y^3(n_s,k,l)\end{array}\right]$ Represent the matrix of physical antenna port, $\left[\begin{array}{cc}{w}_{00}& w_{01}\\ w_{10}& w_{11}\\ w_{20}& w_{21}\\ w_{30}& w_{31}\end{array}\right]$ Represent VAM matrix W, $\left[\begin{array}{c}{X}^0(n_s,k,l)\\ X^1(n_s,k,l)\end{array}\right]$ Represent the matrix X of virtual-antenna port.

Suppose that subscriber equipment has two reception antennas, the information table of its channel is shown channel matrix and is:

$H=\left[\begin{array}{c}{H}_0\\ H_1\end{array}\right]=\left[\begin{array}{cccc}{H}_{00}& H_{01}& H_{02}& H_{03}\\ H_{10}& H_{11}& H_{12}& H_{13}\end{array}\right]$

The signal to noise ratio of the virtual-antenna port of BBU arrival subscriber equipment is

$\mathrm{SNR}=\frac{E{\left|\right|\mathrm{HWX}\left|\right|}^2}{{\mathrm{\σ}}^2}=\frac{\left|\right|W^{H}E\left(H^{H}H\right)W\left|\right|\·E{\left|\right|X\left|\right|}^2}{{\mathrm{\σ}}^2}=\frac{\left|\right|W^H\mathrm{RW}\left|\right|\·E{\left|\right|X\left|\right|}^2}{{\mathrm{\σ}}^2}$

Wherein, σ ²for noise power, R is the channel covariance matrices calculating according to the channel information of each subscriber equipment under RRU, and W is VAM matrix, and E represents expectation, || || represent norm.

Like this, make above formula maximize, while being also signal to noise ratio maximum, R matrix can be carried out to feature decomposition, obtain eigenvalue of maximum characteristic of correspondence vector [v ₀v ₁v ₂v ₃], a corresponding VAM matrix is:

$W=\left[\begin{array}{cc}{w}_{00}& w_{01}\\ w_{10}& w_{11}\\ w_{20}& w_{21}\\ w_{30}& w_{31}\end{array}\right]=\left[\begin{array}{cc}{v}_0& 0\\ \stackrel{}{}{v}_1& 0\\ 0& v_2\\ 0& v_3\end{array}\right]$

So determined VAM matrix W is just a VAM matrix in the time making signal to noise ratio maximum.

In like manner, for mapping relations be: 2 virtual-antenna port->8 physical antenna ports, the VAM matrix obtaining in the time that the signal to noise ratio of virtual-antenna port is maximum can be:

$W=\left[\begin{array}{cc}{w}_{00}& w_{01}\\ w_{10}& w_{11}\\ w_{20}& w_{21}\\ w_{30}& w_{31}\\ w_{40}& w_{41}\\ w_{50}& w_{51}\\ w_{60}& w_{61}\\ w_{70}& w_{71}\end{array}\right]=\left[\begin{array}{cc}{v}_0& 0\\ v_1& 0\\ v_2& 0\\ v_3& 0\\ 0& v_4\\ 0& v_5\\ 0& v_6\\ 0& v_7\end{array}\right]$

For mapping relations be: 4 virtual-antenna port->8 physical antenna ports, the VAM matrix obtaining in the time that the signal to noise ratio of virtual-antenna port is maximum can be:

$W=\left[\begin{array}{cccc}{w}_{00}& w_{01}& w_{02}& w_{03}\\ w_{10}& w_{11}& w_{12}& w_{13}\\ w_{20}& w_{21}& w_{22}& w_{23}\\ w_{30}& w_{31}& w_{32}& w_{33}\\ w_{40}& w_{41}& w_{42}& w_{43}\\ w_{50}& w_{51}& w_{52}& w_{53}\\ w_{60}& w_{61}& w_{62}& w_{63}\\ w_{70}& w_{71}& w_{72}& w_{73}\end{array}\right]=\left[\begin{array}{cccc}{v}_0& 0& 0& 0\\ v_1& 0& 0& 0\\ 0& v_2& 0& 0\\ 0& v_3& 0& 0\\ 0& 0& v_4& 0\\ 0& 0& v_5& 0\\ 0& 0& 0& v_6\\ 0& 0& 0& v_7\end{array}\right]$

Further, BBU, after having determined a VAM matrix, is sent to RRU by a VAM matrix, and RRU facility arrives physical antenna port with a VAM matrix by virtual-antenna port mapping.Certainly, also can utilize the relation of the information of mean square error, channel capacity and channel to calculate a VAM matrix.

Wherein, BBU, before a VAM matrix is sent to RRU, receives the upstream data of subscriber equipment from RRU.Also, BBU, in the time receiving upstream data, can select module that the one VAM matrix is sent to VAM weighting block by VAM matrix, in the time that BBU sends downlink data, VAM matrix code book is not sent.This be because, when BBU is in the time sending downlink data to subscriber equipment, if again the VAM matrix obtaining is sent to descending VAM weighting block, due to the unexpected variation of VAM mapping matrix, may cause that user's equipment downward signal fluctuates, cause downlink signal discontinuous.

In addition, BBU is before being sent to descending VAM weighting block by definite VAM matrix, because the up training sequence that BBU receives may be due to factors such as noise jamming, subscriber equipment move, the information that causes channel changes, or determined VAM matrix fluctuates, and BBU is after obtaining the information of channel, can carry out statistical filtering to the information of channel, and/or, before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

Like this, BBU calculates and selects a VAM matrix in multiple VAM matrixes according to the information of channel, or by directly calculating a VAM matrix, due to different antenna forms, different antenna opening phase places, different wireless channel environments, different user location distribution etc., can cause the information difference of channel when subscriber equipment sends upward signal, like this, the difference of the information of the channel of the subscriber equipment under the RRU that can cause according to different factors, adjust the mapping matrix with RRU, can promote the overall throughput performance of the business of the employing VAM mapping under RRU.

The embodiment of the present invention provides a kind of base station, comprise BBU and RRU, BBU is for obtaining the information of the channel between described RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel, determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU, a described VAM matrix is sent to described RRU, RRU is for receiving from described BBU a described VAM matrix, utilize a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port, can be according to the difference of the information of the channel of the subscriber equipment under RRU, adjust the mapping matrix with RRU, promote the overall throughput performance of the business of the employing VAM mapping under RRU.

The embodiment of the present invention provides a kind of mapping method of virtual-antenna port, as shown in Figure 2, comprising:

101, BBU obtains the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel.

102, BBU determines the first virtual-antenna mapping VAM matrix according to the information of described channel, and a described VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of described RRU.

103, a described VAM matrix is sent to described RRU by BBU.

Further, in step 101, the implementation of obtaining the information of the channel between RRU and subscriber equipment can be:

BBU receives the upward signal that described subscriber equipment sends, proofread and correct the up middle radio-frequency channel of described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal; Or,

BBU receives the pre-coding matrix instruction PMI information that described subscriber equipment is corresponding, and the information of the described channel of definite pre-coding matrix instruction, and wherein, described PMI information is used to indicate described pre-coding matrix.

Further, the implementation of step 102 can be: described BBU preserves multiple VAM matrixes, and described multiple VAM matrixes comprise a described VAM matrix and other VAM matrixes; And the described information according to described channel determines that a VAM matrix comprises:

According to the information of described channel, in described multiple VAM matrixes, select a described VAM matrix.

Concrete implementation can be: optional, BBU calculates the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in described multiple VAM matrixes according to the information of described channel, select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

Optionally, BBU is according to the mean value of the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel, select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

Optionally, BBU is according to the channel capacity of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel, select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding, wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

Optionally, BBU is according to the signal to noise ratio of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel, select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes.Wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

Optionally, BBU is according to the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in described channel information acquisition, select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes.Wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

In another kind of implementation, the implementation of step 102 can be: determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel, determine signal to noise ratio snr and the described R of described virtual-antenna port, relation between H meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue, determine a described VAM matrix according to described first eigenvector.

Wherein, described formula is:

described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

Optionally, the method can also comprise: before a described VAM matrix is sent to described RRU, receive the upstream data of described subscriber equipment from described RRU.

Optionally, the method can also comprise: after obtaining the information of described channel, the information of described channel is carried out to statistical filtering; And/or,

Before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

In the embodiment of the present invention, the specific implementation of BBU can the detailed description for BBU in base station referring to above-described embodiment, repeats no more herein.

The embodiment of the present invention provides a kind of mapping method of virtual-antenna port, obtain the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel, determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of described RRU, a described VAM matrix is sent to described RRU, so that RRU is from described BBU receives a described VAM matrix, utilize a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port, can be according to the difference of the information of the channel of the subscriber equipment under RRU, adjust the mapping matrix with RRU, promote the overall throughput performance of the business of the employing VAM mapping under RRU.

The embodiment of the present invention provides a kind of baseband processing unit (BBU) 10, as shown in Figure 3, comprising:

Acquisition module 101, for obtaining the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel.

Determination module 102, for determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU.

Sending module 103, for sending to described RRU by a described VAM matrix.

Optionally, described BBU preserves multiple VAM matrixes, and described multiple VAM matrixes comprise a described VAM matrix and other VAM matrixes;

Described determination module 102 can be specifically for:

According to the information of described channel, in described multiple VAM matrixes, select a described VAM matrix.

Optionally, described determination module 102 can be specifically for:

Calculate the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in described multiple VAM matrixes according to the information of described channel;

Select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

Optionally, described determination module 102 can be specifically for:

According to the mean value of the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

Optionally, described determination module 102 can be specifically for:

According to the channel capacity of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding;

Wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

Optionally, described determination module 102 can be specifically for:

According to the signal to noise ratio of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes;

Wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

Optionally, described determination module 102 can be specifically for:

According to the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in described channel information acquisition;

Select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes;

Wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

Optionally, described determination module 102 can be specifically for:

Determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel;

Determine that the relation between signal to noise ratio snr and described R, the H of described virtual-antenna port meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, and described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue;

Determine a described VAM matrix according to described first eigenvector;

Wherein, described formula is:

described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

Optionally, as shown in Figure 4, can also comprise:

Receiver module 104, for before a described VAM matrix is sent to described RRU, receives the upstream data of the described subscriber equipment transmitting by described RRU.

Optionally, as shown in Figure 5, can also comprise:

Filtration module 105, for after obtaining the information of described channel, carries out statistical filtering to the information of described channel; And/or,

Before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

Optionally, described acquisition module 101 can be specifically for:

Receive the upward signal that described subscriber equipment sends, proofread and correct the up middle radio-frequency channel of described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal; Or,

Receive the pre-coding matrix instruction PMI information that described subscriber equipment is corresponding, and the information of the described channel of definite pre-coding matrix instruction, wherein, described PMI information is used to indicate described pre-coding matrix.

Module in the embodiment of the present invention can be also subelement, and the implementation in the base station that the specific implementation of each module and above-described embodiment provide is similar, repeats no more.

The embodiment of the present invention provides a kind of BBU, comprise acquisition module, determination module and sending module, acquisition module is for obtaining the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel, determination module is for determining the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU, sending module, for a described VAM matrix is sent to described RRU, so that RRU can utilize a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port, can be according to the difference of the information of the channel of the subscriber equipment under RRU, adjust the mapping matrix with RRU, promote the overall throughput performance of the business of the employing VAM mapping under RRU.

The embodiment of the present invention provides a kind of baseband processing unit (BBU) 11, as shown in Figure 6, this BBU11 comprises: bus 111, the processor 112 that is connected to bus 111, reflector 113, receiver 114 and memory 115, wherein, this memory 115 is for storing instruction, this processor 112 is carried out these instructions for obtaining the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel; Processor 112 is carried out this instruction also for determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of described RRU, and reflector 113 is carried out this instruction for a described VAM matrix is sent to described RRU.

In embodiments of the present invention, optional, memory 115 is preserved multiple VAM matrixes, and multiple VAM matrixes comprise a described VAM matrix and other VAM matrixes; Processor 112 carry out according to the information of described channel determine a VAM matrix for:

According to the information of described channel, in described multiple VAM matrixes, select a described VAM matrix.

In embodiments of the present invention, optional, processor 112 is carried out the information according to described channel, selects the described VAM matrix can be in described multiple VAM matrixes:

Calculate the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in described multiple VAM matrixes according to the information of described channel;

Select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

In embodiments of the present invention, optional, processor 112 is carried out the information according to described channel, selects the described VAM matrix can be in described multiple VAM matrixes:

According to the mean value of the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

In embodiments of the present invention, optional, processor 112 is carried out the information according to described channel, selects the described VAM matrix can be in described multiple VAM matrixes:

According to the channel capacity of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding;

Wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

In embodiments of the present invention, optional, processor 112 is carried out the information according to described channel, selects the described VAM matrix can be in described multiple VAM matrixes:

According to the signal to noise ratio of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes;

Wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

In embodiments of the present invention, optional, processor 112 is carried out the information according to described channel, selects the described VAM matrix can be in described multiple VAM matrixes:

According to the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in described channel information acquisition;

Select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes;

Wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

In embodiments of the present invention, optional, processor 112 carry out according to the information of described channel determine a VAM matrix for:

Determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel;

Determine that the relation between signal to noise ratio snr and described R, the H of described virtual-antenna port meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, and described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue;

Determine a described VAM matrix according to described first eigenvector;

Wherein, described formula is:

described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

In embodiments of the present invention, optional, receiver 114 is carried out this instruction and is used for:

Before a described VAM matrix is sent to described RRU, receive the upstream data of described subscriber equipment from described RRU.

In embodiments of the present invention, optional, processor 112 is carried out this instruction and is used for:

After obtaining the information of described channel, the information of described channel is carried out to statistical filtering; And/or,

Before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

In embodiments of the present invention, optionally, receiver 114 is carried out this instruction and is used for: receive the upward signal that described subscriber equipment sends, processor 112 is carried out this instruction and is used for: the up radio-frequency channel of proofreading and correct described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal; Or,

Receiver 114 is carried out this instruction and is used for: receive the pre-coding matrix instruction PMI information that described subscriber equipment is corresponding, processor 112 is carried out this instruction and is used for: the information of determining the described channel of pre-coding matrix instruction, wherein, described PMI information is used to indicate described pre-coding matrix.

The specific implementation of the each several part in the embodiment of the present invention can the detailed description for BBU in base station referring to above-described embodiment, repeats no more herein.

The embodiment of the present invention provides a kind of BBU, comprise: bus, the processor that is connected to bus, reflector, receiver and memory, wherein, this memory is used for storing instruction, this processor is carried out this instruction for obtaining the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel, processor is carried out this instruction also for determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of described RRU, reflector is carried out this instruction for a described VAM matrix is sent to described RRU, so that RRU can utilize a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port, can be according to the difference of the information of the channel of the subscriber equipment under RRU, adjust the mapping matrix with RRU, promote the overall throughput performance of the business of the employing VAM mapping under RRU.

In the several embodiment that provide in the application, should be understood that, disclosed system, equipment and method, can realize by another way.For example, apparatus embodiments described above is only schematic, for example, the division of described unit, be only that a kind of logic function is divided, when actual realization, can have other dividing mode, for example multiple unit or assembly can in conjunction with or can be integrated into another system, or some features can ignore, or do not carry out.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, indirect coupling or the communication connection of device or unit can be electrically, machinery or other form.

In addition, in equipment and system in each embodiment of the present invention, each functional unit can be integrated in a processing unit, can be also that the independent physics of unit comprises, also can be integrated in a unit two or more unit.And above-mentioned each unit both can adopt the form of hardware to realize, and the form that also can adopt hardware to add SFU software functional unit realizes.

The all or part of step that realizes said method embodiment can complete by the relevant hardware of program command, and aforesaid program can be stored in a computer read/write memory medium, and this program, in the time carrying out, is carried out the step that comprises said method embodiment; And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (Read Only Memory, be called for short ROM), the various media that can be program code stored such as random access memory (Random Access Memory, be called for short RAM), magnetic disc or CD.

The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, any be familiar with those skilled in the art the present invention disclose technical scope in; can expect easily changing or replacing, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of described claim.

Claims (33)

1. a base station, comprises baseband processing unit BBU and remote radio unit (RRU) RRU, it is characterized in that,

Described BBU is for obtaining the information of the channel between described RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Described BBU is also for determining the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU;

Described BBU is also for sending to described RRU by a described VAM matrix;

Described RRU, for receiving from described BBU a described VAM matrix, utilizes a described VAM matrix that described virtual-antenna port mapping is arrived to described physical antenna port.

2. base station according to claim 1, is characterized in that, described BBU also for: preserve multiple VAM matrixes, described multiple VAM matrixes comprise a described VAM matrix and other VAM matrixes; And described BBU is for determining that according to the information of described channel a VAM matrix comprises:

Described BBU, for according to the information of described channel, selects a described VAM matrix in described multiple VAM matrixes.

3. base station according to claim 2, is characterized in that, described BBU specifically for:

Calculate the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in described multiple VAM matrixes according to the information of described channel;

Select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

4. base station according to claim 2, is characterized in that, described BBU specifically for:

According to the mean value of the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

5. base station according to claim 2, is characterized in that, described BBU specifically for:

According to the channel capacity of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding;

Wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

6. base station according to claim 2, is characterized in that, described BBU specifically for:

According to the signal to noise ratio of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes;

Wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

7. base station according to claim 2, is characterized in that, described BBU specifically for:

According to the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes;

Wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

8. base station according to claim 1, is characterized in that, described BBU specifically for:

Determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel;

Determine that the relation between signal to noise ratio snr and described R, the H of described virtual-antenna port meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, and described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue;

Determine a described VAM matrix according to described first eigenvector;

Wherein, described formula is:

described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

9. according to the base station described in claim 1 to 8 any one, it is characterized in that, described BBU also for:

Before a described VAM matrix is sent to described RRU, receive the upstream data of described subscriber equipment from described RRU.

10. according to the base station described in claim 1 to 9 any one, it is characterized in that, described BBU also for:

After obtaining the information of described channel, the information of described channel is carried out to statistical filtering; And/or,

Before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

11. according to the base station described in claim 1 to 10 any one, it is characterized in that,

Described BBU specifically for: receive the upward signal that described subscriber equipment sends, proofread and correct the up middle radio-frequency channel of described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal; Or,

Described BBU specifically for: receive pre-coding matrix corresponding to described subscriber equipment instruction PMI information, and the information of the described channel of definite pre-coding matrix instruction, wherein, described PMI information is used to indicate described pre-coding matrix.

The mapping method of 12. 1 kinds of virtual-antenna ports, is characterized in that, comprising:

Obtain the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of baseband processing unit BBU and the physical antenna port of described RRU;

A described VAM matrix is sent to described RRU.

13. methods according to claim 12, is characterized in that, described BBU preserves multiple VAM matrixes, and described multiple VAM matrixes comprise a described VAM matrix and other VAM matrixes; And the described information according to described channel determines that a VAM matrix comprises:

According to the information of described channel, in described multiple VAM matrixes, select a described VAM matrix.

14. methods according to claim 13, is characterized in that, described according to the information of described channel, select a described VAM matrix to comprise in described multiple VAM matrixes:

Calculate the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in described multiple VAM matrixes according to the information of described channel;

Select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

15. methods according to claim 13, is characterized in that, described according to the information of described channel, select a described VAM matrix to comprise in described multiple VAM matrixes:

According to the mean value of the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

16. methods according to claim 13, is characterized in that, described according to the information of described channel, select a described VAM matrix to comprise in described multiple VAM matrixes:

According to the channel capacity of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding;

Wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

17. methods according to claim 13, is characterized in that, described according to the information of described channel, select a described VAM matrix to comprise in described multiple VAM matrixes:

According to the signal to noise ratio of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes;

Wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

18. methods according to claim 13, is characterized in that, described according to the information of described channel, select a described VAM matrix to comprise in described multiple VAM matrixes:

According to the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in described channel information acquisition;

Select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes;

Wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

19. methods according to claim 12, is characterized in that, the described information according to described channel determines that a VAM matrix comprises:

Determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel;

Determine that the relation between signal to noise ratio snr and described R, the H of described virtual-antenna port meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, and described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue;

Determine a described VAM matrix according to described first eigenvector;

Wherein, described formula is:

described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

20. according to claim 12 to the method described in 19 any one, it is characterized in that, described method also comprises:

Before a described VAM matrix is sent to described RRU, receive the upstream data of described subscriber equipment from described RRU.

21. according to claim 12 to the method described in 20 any one, it is characterized in that, described method also comprises:

After obtaining the information of described channel, the information of described channel is carried out to statistical filtering; And/or,

Before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

22. according to claim 12 to the method described in 21 any one, it is characterized in that, the information of obtaining the channel between RRU and subscriber equipment comprises:

Receive the upward signal that described subscriber equipment sends, proofread and correct the up middle radio-frequency channel of described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal; Or,

Receive the pre-coding matrix instruction PMI information that described subscriber equipment is corresponding, and the information of the described channel of definite pre-coding matrix instruction, wherein, described PMI information is used to indicate described pre-coding matrix.

23. 1 kinds of baseband processing unit BBU, is characterized in that, comprising:

Acquisition module, for obtaining the information of the channel between remote radio unit (RRU) RRU and subscriber equipment, described channel comprise following at least one: up channel, down channel;

Determination module, for determine the first virtual-antenna mapping VAM matrix according to the information of described channel, a described VAM matrix is for the mapping between the virtual-antenna port of described BBU and the physical antenna port of described RRU;

Sending module, for sending to described RRU by a described VAM matrix.

24. BBU according to claim 23, is characterized in that, described BBU preserves multiple VAM matrixes, and described multiple VAM matrixes comprise a described VAM matrix and other VAM matrixes;

Described determination module specifically for:

According to the information of described channel, in described multiple VAM matrixes, select a described VAM matrix.

25. BBU according to claim 24, is characterized in that, described determination module specifically for:

Calculate the average signal-to-noise ratio of the each virtual-antenna port corresponding with each VAM matrix in described multiple VAM matrixes according to the information of described channel;

Select a described VAM matrix, the average signal-to-noise ratio of each virtual-antenna port that a described VAM matrix is corresponding is greater than the average signal-to-noise ratio of each virtual-antenna port that described other VAM matrixes are corresponding.

26. BBU according to claim 24, is characterized in that, described determination module specifically for:

According to the mean value of the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the mean value of the mean square error of each virtual-antenna port that a described VAM matrix is corresponding is less than the mean value of the mean square error of each virtual-antenna port that described other VAM matrixes are corresponding.

27. BBU according to claim 24, is characterized in that, described determination module specifically for:

According to the channel capacity of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, the channel capacity of each virtual-antenna port that a described VAM matrix is corresponding is greater than the channel capacity of each virtual-antenna port that described other VAM matrixes are corresponding;

Wherein, the channel capacity that each VAM matrix is corresponding is the channel capacity sum of the corresponding each virtual-antenna port of described VAM matrix.

28. BBU according to claim 24, is characterized in that, described determination module specifically for:

According to the signal to noise ratio of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in the acquisition of information of described channel;

Select a described VAM matrix, maximum signal to noise ratio corresponding to a described VAM matrix is greater than described maximum signal to noise ratio corresponding to other VAM matrixes;

Wherein, the maximum signal to noise ratio that each VAM matrix is corresponding is the maximum in the signal to noise ratio of each virtual-antenna port that described VAM matrix is corresponding.

29. BBU according to claim 24, is characterized in that, described determination module specifically for:

According to the mean square error of each virtual-antenna port corresponding to the each VAM matrix in multiple VAM matrixes described in described channel information acquisition;

Select a described VAM matrix, maximum mean square error corresponding to a described VAM matrix is less than described maximum mean square error corresponding to other VAM matrixes;

Wherein, the maximum mean square error that each VAM matrix is corresponding is the maximum in the mean square error of each virtual-antenna port that described VAM matrix is corresponding.

30. BBU according to claim 23, is characterized in that, described determination module specifically for:

Determine according to the information of described channel: the covariance matrix R of described channel and channel matrix H corresponding to described channel;

Determine that the relation between signal to noise ratio snr and described R, the H of described virtual-antenna port meets following formula, and the First Eigenvalue when described signal to noise ratio obtains maximum and first eigenvector, described the First Eigenvalue is that described R carries out feature decomposition and obtains, and described first eigenvector characteristic of correspondence value is the maximum characteristic of correspondence vector in described the First Eigenvalue;

Determine a described VAM matrix according to described first eigenvector;

Wherein, described formula is:

described σ ²for noise power, W is VAM matrix, and X is the matrix of described virtual-antenna port, and E represents expectation, || || represent norm.

31. according to the BBU described in claim 23 to 30 any one, it is characterized in that, also comprises:

Receiver module, for before a described VAM matrix is sent to described RRU, receives the upstream data of the described subscriber equipment transmitting by described RRU.

32. according to the BBU described in claim 23 to 31 any one, it is characterized in that, also comprises:

Filtration module, for after obtaining the information of described channel, carries out statistical filtering to the information of described channel; And/or,

Before a described VAM matrix is sent to described RRU, a described VAM matrix is carried out to statistical filtering.

33. according to the BBU described in claim 23 to 32 any one, it is characterized in that, described acquisition module specifically for:

Receive the upward signal that described subscriber equipment sends, proofread and correct the up middle radio-frequency channel of described RRU, and obtain the information of described up channel according to described upward signal, and/or, the information of down channel described in the acquisition of information of the described up channel obtaining according to the reciprocity of described up channel and described down channel and according to described upward signal; Or,

Receive the pre-coding matrix instruction PMI information that described subscriber equipment is corresponding, and the information of the described channel of definite pre-coding matrix instruction, wherein, described PMI information is used to indicate described pre-coding matrix.