CN105991172A - Virtualization model selection method of antenna array, device and communication system - Google Patents

Abstract

The invention provides a virtualization model selection method of an antenna array, a virtualization model selection device of the antenna array and a communication system. The selection method includes the following steps that: a base station determines user scheduling type information and the number of virtual antenna ports of a plurality of antenna particles in the same polarization direction in a perpendicular direction; and an TXRU virtualization model is selected according to the user scheduling type information and the number of virtual antenna ports of the plurality of antenna particles in the same polarization direction in the perpendicular direction. With the method and device provided by the embodiments of the invention adopted, the TXRU virtualization model can be adaptively selected. The method and device can be better applied to a large-scale MIMO (multiple-input multiple-output) system.

Description

Antenna array virtualization model selection method and device and communication system

Technical Field

The embodiment of the invention relates to the technical field of communication, in particular to a method and a device for selecting a virtualization model of an antenna array in a large-scale Multiple Input Multiple Output (MIMO) system and a communication system.

Background

Millimeter wave (mmWave) technology and massive MIMO technology are two candidate technologies for the fifth generation mobile communication technology research in the future, and the combination of the millimeter wave (mmWave) technology and the massive MIMO technology can provide a wider transmission bandwidth and more antennas for a system, so that the system performance is improved.

However, the increase in the number of antennas and the number of subcarriers will make the baseband precoding technique difficult to implement. On one hand, the processing complexity is high, large-dimension matrix multiplication calculation is required on each subcarrier, and the system complexity is obviously increased along with the increase of the number of antennas and the bandwidth. On the other hand, if a flexible baseband precoding technology is implemented, each physical antenna needs to be configured with a set of radio frequency chain (RF chain) including an amplifier, a mixer, a digital-to-analog converter, an analog-to-digital converter and the like, and the system cost is high.

If the precoding technique is put on a radio frequency unit to do so, each symbol executes large-dimension matrix operation once, so that the complexity of the system is greatly reduced, but the performance of the system is correspondingly reduced. Due to the combination of the advantages of baseband precoding and radio frequency precoding (beamforming), precoding operation can be performed on the baseband and the radio frequency together, so that the method is more suitable for application of a large-scale MIMO system, and the effective compromise between the system performance (flexibility) and the complexity is achieved.

In current research on Adaptive Antenna Systems (AAS) of 3GPP RAN4, it is defined that a transmit-receive unit (TXRU) includes a plurality of transmit Units (TXU) and receive Units (RXU). The TXU takes the base band signal of the base station AAS as input and provides an output for the radio frequency transmit signal. The output of the Radio frequency transmission is distributed to the antenna array through a Radio Distribution Network (RDN).

Fig. 1 is a schematic diagram of an AAS radio architecture. As shown in fig. 1, the RDN includes a one-to-one mapping between txu (s)/rxu(s) and the antenna array, which may be only a logical entity, not necessarily a physical entity. The RXU performs the inverse of the TXU.

As can be seen from fig. 1, if rf and baseband hybrid precoding (beamforming) is performed, rf precoding/weighting is performed on TXRUs, i.e., the TXRUs function as an rf chain, and each TXRU can only process one active data stream at a time due to the limitations of the digital-to-analog converter and the analog-to-digital converter. In the study of 3GPP RAN1, the relationship between TXRU input signals and signals at antenna particles was defined as a TXRU virtualization model, and the relationship between logical antenna ports and TXRUs was defined as a port virtualization model.

It should be noted that the above background description is only for the sake of clarity and complete description of the technical solutions of the present invention and for the understanding of those skilled in the art. Such solutions are not considered to be known to the person skilled in the art merely because they have been set forth in the background section of the invention.

Disclosure of Invention

The inventor finds that: at present, only a virtualization model is defined, a scheme for selecting the virtualization model does not exist, and the virtualization model cannot be better applied to a large-scale MIMO system.

The embodiment of the invention provides a method and a device for selecting a virtualization model of an antenna array and a communication system. The embodiment of the invention can adaptively select the TXRU virtualization model.

According to a first aspect of the embodiments of the present invention, there is provided an apparatus for selecting a virtualization model of an antenna array, the apparatus comprising:

the information determining unit is used for determining user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction;

and the model selection unit selects the virtualization model of the transceiver unit according to the user scheduling type information and the number of antenna ports of the multiple antenna particles virtualized in the same polarization direction in the vertical direction.

According to a second aspect of the embodiments of the present invention, there is provided a method for selecting a virtualization model of an antenna array, the method comprising:

a base station determines user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction; and

and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

According to a third aspect of the embodiments of the present invention, there is provided a communication system including:

the base station determines user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction; and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

The embodiment of the invention has the beneficial effects that: and selecting the TXRU virtualization model according to the user scheduling type information and the number of antenna ports of the multiple antenna particle virtualization in the same polarization direction in the vertical direction. Therefore, the TXRU virtualization model can be selected in a self-adaptive mode, and the method is better applied to a large-scale MIMO system.

Specific embodiments of the present invention are disclosed in detail with reference to the following description and accompanying drawings, which specify the manner in which the principles of the embodiments of the invention may be employed. It should be understood that the embodiments of the invention are not so limited in scope. The embodiments of the invention include many variations, modifications and equivalents within the spirit and scope of the appended claims.

Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments, in combination with or instead of the features of the other embodiments.

It should be emphasized that the term "comprises/comprising" when used herein, is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps or components.

Drawings

The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:

FIG. 1 is a schematic diagram of an AAS radio architecture;

fig. 2 is a schematic diagram of a planar antenna array in a co-polarized antenna configuration;

fig. 3 is a schematic diagram of a structure of a planar antenna array in a cross-polarized antenna configuration;

FIG. 4 is a schematic diagram of a virtualization model selection method according to an embodiment of the invention;

FIG. 5 is another schematic diagram of a virtualization model selection method according to an embodiment of the invention;

FIG. 6 is a schematic diagram of a first TXRU virtualization model of an embodiment of the present invention;

FIG. 7 is a schematic diagram of a second TXRU virtualization model of an embodiment of the present invention;

FIG. 8 is another schematic diagram of a virtualization model selection method according to an embodiment of the invention;

FIG. 9 is a schematic illustration of a third TXRU virtualization model of an embodiment of the present invention;

FIG. 10 is another schematic diagram of a virtualization model selection method according to an embodiment of the invention;

FIG. 11 is a diagram of a virtualization model selection apparatus according to an embodiment of the present invention;

FIG. 12 is another schematic diagram of a virtualization model selection apparatus according to an embodiment of the present invention;

fig. 13 is a schematic diagram of a communication system of an embodiment of the present invention;

fig. 14 is a schematic diagram of a configuration of a base station according to an embodiment of the present invention.

Detailed Description

The foregoing and other features of embodiments of the present invention will become apparent from the following description, taken in conjunction with the accompanying drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the embodiments in which the principles of the embodiments of the invention may be employed, it being understood that the invention is not limited to the embodiments described, but, on the contrary, the embodiments of the invention include all modifications, variations and equivalents falling within the scope of the appended claims.

Fig. 2 and fig. 3 are schematic diagrams of two planar antenna array configurations according to an embodiment of the present invention, fig. 2 is a schematic diagram of a planar antenna array in a co-polarized antenna configuration, and fig. 3 is a schematic diagram of a planar antenna array in a cross-polarized antenna configuration.

As shown in fig. 2, M antenna particles (also referred to as physical antenna particles) having the same polarization direction are disposed in each column in the vertical direction, and N columns are disposed in the horizontal direction. As shown in fig. 3, M cross-polarized antenna pairs are placed in each column in the vertical direction, and N columns of cross-polarized antenna pairs are placed in the horizontal direction. I.e. M physical antenna particles per polarization direction in a vertical column and N physical antenna particles per polarization direction in a horizontal row.

These two antenna configurations can be represented as (M, N, P), where P represents the number of polarization dimensions, and P is 1 for the same polarization configuration, i.e., as shown in fig. 2; when P is 2, the cross polarization configuration is shown in fig. 3. Wherein M antenna particles in the same polarization direction in each column are connected with M_TXRUEach TXRU with a total number of M_TXRU×N×P。

In the planar antenna array system, as the number of antennas increases, the overhead of the reference signal also increases. In order to perform the beam adjustment function in the vertical direction and control the number of antenna ports, a plurality of antenna particles in the vertical direction may be virtualized into one or more antenna ports. In one virtual antenna port, the beam direction in the vertical direction is adjusted by weighting a plurality of physical antenna particles. The weighting of the virtual antenna ports corresponds to the physical antenna particle weighting, i.e. the precoding operation in the conventional sense.

The planar antenna array according to the embodiment of the present invention is described above, but the present invention is not limited thereto. The following provides a detailed description of examples of the present invention.

Example 1

The embodiment of the invention provides a method for selecting a virtualization model of an antenna array, which can be applied to a base station end with the antenna array. Fig. 4 is a schematic diagram of a virtualization model selection method according to an embodiment of the present invention, and as shown in fig. 4, the selection method includes:

step 401, a base station determines user scheduling type information and the number of antenna ports of multiple antenna particles in the same polarization direction in the vertical direction; and

step 402, selecting a virtualized model of a transceiver unit according to the user scheduling type information and the number of antenna ports of multiple antenna particles virtualized in the same polarization direction in the vertical direction.

In this embodiment, the base station has an antenna array, for example as shown in fig. 2 or 3. The user scheduling type information may include: single-user MIMO (SU-MIMO) and/or multi-user MIMO (MU-MIMO); the virtual antenna port number of the M antenna particles in the same polarization direction in the vertical direction is V_port. This allows, for example, SU-MIMO or MU-MIMO and V to be performed_portA TXRU virtualization model is selected.

Fig. 5 is another schematic diagram of a virtualization model selection method according to an embodiment of the present invention, and as shown in fig. 5, the selection method includes:

step 501, the base station determines the user scheduling type information and the virtual antenna port number V of multiple antenna particles in the same polarization direction in the vertical direction_port。

Step 502, judge V_portWhether or not it is 1; at V_portStep 503 is performed for 1, at V_portIf not, executing step 505;

step 503, judging whether to perform SU-MIMO, executing step 504 under the condition of performing SU-MIMO, and executing step 506 under the condition of not performing SU-MIMO (performing MU-MIMO);

at step 504, a first TXRU virtualization model is selected for use.

Step 505, judge V_portWhether or not to equal M_TXRU(ii) a At V_portIs equal to M_TXRUIn case of (3), step 506 is executed at V_portIs not equal to M_TXRUStep 507 is performed;

wherein, M is_TXRUThe number of transmitting/receiving units connected with M antenna particles in the same polarization direction in each column in the vertical directionTo achieve the purpose.

At step 506, a second TXRU virtualization model is selected for use.

In step 507, a first TXRU virtualization model is selected for use.

Each TXRU virtualization model is described in detail below.

In a first TXRU virtualization model, each TXRU is connected to K antenna elements, K being M/M_TXRU. Fig. 6 is a schematic diagram of a first TXRU virtualization model according to an embodiment of the present invention, and as shown in fig. 6, the first TXRU virtualization model is a sub-array partition model.

As shown in fig. 6, for a row of M antenna particles and M in the same polarization direction_TXRUThe number TXRU, q, is a signal vector at the antenna particle, i.e., a transmission signal vector of the antenna, and x is a signal vector at the TXRU. Wherein each TXRU is connected with K antenna particles, and K is M/M_TXRU(ii) a w is the weight of each TXRU on the data stream, and M_TXRUThe TXRUs all use the same weighting, i.e., the virtualization model can be represented asWhereinFor kronecker product operations, w may be a Discrete Fourier Transform (DFT) vector, such as

$w_k=\frac{1}{\sqrt{K}}\exp (-j\frac{2\mathrm{\π}}{\mathrm{\λ}}(k-1)d_V\cos {\mathrm{\θ}}_{\mathrm{etilt}})\mathrm{for\; k}=1,...,K---\left(1\right)$

Wherein, theta_etiltThe electron declination angle is the vertical direction.

In a second TXRU virtualization model, each TXRU is connected to M antenna elements. Fig. 7 is a diagram of a second TXRU virtualization model according to an embodiment of the invention, where the second TXRU virtualization model is a fully connected model, as shown in fig. 7.

As shown in fig. 7, for a row of M antenna particles and M in the same polarization direction_TXRUThe number TXRU, q, is a signal vector at the antenna particle, i.e., a transmission signal vector of the antenna, and x is a signal vector at the TXRU. Wherein each TXRU is connected with M antenna particles, and W is M_TXRUThe weighting of the signal x by each TXRU, i.e. the virtualization model, can be denoted as q ═ Wx. Each column of W may be a DFT vector, e.g.

$W_{m,m^{\′}}=\frac{1}{\sqrt{M}}\exp (-j\frac{2\mathrm{\π}}{\mathrm{\λ}}(m-1)d_V\cos {\mathrm{\θ}}_{\mathrm{etilt},m^{\′}})$

m＝1,…,M；m′＝1,…,M_TXRU

Wherein, theta_etiltThe electron declination angle is the vertical direction. Or,

$W_{m,m^{\′}}=\frac{1}{\sqrt{M}}\exp (-j\frac{2\mathrm{\π}(m-1)d_V{n}_{m^{\′}}}{\mathrm{\λ}{N}_M})$

m＝1,…,M；m'＝1,…,M_TXRU

wherein N is_MIndicating the size of the DFT vector of length M. n is_m'Indicating that the selected DFT vector for the m' th TXRU is in the codeAn index in the book.

In this embodiment, the expression of the first TXRU virtualization modelIt is possible to rewrite as,

in both the first and second TXRU virtualization models, the weighting matrix for the signal vector x is M rows M_TXRUAnd (4) columns. In the first TXRU virtualization model, the weighting matrix is a block diagonal structure, each sub-block is a DFT vector, and all sub-blocks are opposite, i.e., equivalent to the same electronic downtilt angle for each TXRUs when weighted vertically. Therefore, the first TXRU virtualization model is suitable for the case where M antenna elements with the same polarization direction in the vertical direction are virtualized into multiple antenna ports for transmission in the case of a single user.

In the second TXRU virtualization model, the weighting matrix is a normal matrix, and each column corresponds to a DFT vector with length M, i.e. each TXRUs uses different electrical downtilt angles when weighted in the vertical direction. Therefore, the second TXRU virtualization model is suitable for a multi-user transmission scenario, each user can select one TXRU for radio frequency precoding, and is also suitable for transmission in the case that M antenna elements in the same polarization direction in the vertical direction are virtualized into one antenna port only in the case of a single user, that is, the user can select one TXRU or use M_TXRUA linear combination of weighted values of the individual TXRUs is transmitted.

Since the first TXRU virtualization model can be implemented by changing the wiring of the second TXRU virtualization model, i.e., by zeroing out some of the weights of the weighting matrix W. Thus, at the time of actual communication, it is possible to adaptively select whether to adopt the first TXRU virtualization model or the second TXRU virtualization model according to actual transmission conditions.

In this embodiment, when M antenna particles are assumed to be V in the same polarization direction of the vertical direction_portAn antenna port (1)<V_port<M_TXRU) More than two TXRUs may be connected to the same portion of the antenna particles for better performance.

Fig. 8 is another schematic diagram of a virtualization model selection method according to an embodiment of the present invention, and as shown in fig. 8, the selection method includes:

step 801, a base station determines user scheduling type information and the number V of antenna ports of multiple antenna particle virtualizations in the same polarization direction in the vertical direction_port。

Step 802, judge V_portWhether or not it is 1; at V_portStep 803 is executed for 1, at V_portIf not 1, perform step 805;

step 803, judging whether to perform SU-MIMO, executing step 804 under the condition of performing SU-MIMO, and executing step 806 under the condition of not performing SU-MIMO (performing MU-MIMO);

at step 804, a first TXRU virtualization model is selected for use.

Step 805, judge V_portWhether or not to equal M_TXRU(ii) a At V_portIs equal to M_TXRUIn case of (3), step 806 is performed, at V_portIs not equal to M_TXRUStep 807 is performed;

at step 806, a second TXRU virtualization model is selected for use.

At step 807, a third TXRU virtualization model is selected for use.

In the third TXRU virtualization model, M_TXRUThe transmitting and receiving units and the M antenna particles are divided into L groups, and the antenna particles in each group are fully connected with the transmitting and receiving units.

Fig. 9 is a schematic diagram of a third TXRU virtualization model of an embodiment of the invention. As shown in fig. 9, in the third TXRU virtualization model,m of the same polarization direction in the vertical direction_TXRUThe TXRUS and M antenna particles are each divided into L (1)<L<M_TXRU) Groups, the antenna particles within each group are fully connected to the TXRU. At this time, the weighting matrix W of the third TXRU virtualization model can be expressed as,

$P_{m,m^{\&prime;}}=\frac{1}{\sqrt{M/L}}\exp (-j\frac{2\mathrm{\&pi;}}{\mathrm{\&lambda;}}(m-1)d_V\cos {\mathrm{\&theta;}}_{\mathrm{etilt},m^{\&prime;}})$

$m=1,\&CenterDot;\&CenterDot;\&CenterDot;,\frac{M}{L};m^{\&prime;}=1,\&CenterDot;\&CenterDot;\&CenterDot;,\frac{M_{\mathrm{TXRU}}}{L}$

similarly, the third TXRU virtualization model can be implemented by zeroing the partial tap coefficients in the second TXRU virtualization model, so that the three virtualization models can be adaptively switched.

The TXRU virtualization model is schematically illustrated above, but the present invention is not limited thereto, and other TXRU virtualization methods may also be employed, for example. For example, the W may contain DFT vectors of different lengths at the same time; for another example, the unit vector may support transmission of a common channel (e.g., a physical downlink control channel PDCCH, a physical broadcast channel PBCH, etc.) and a common signal (e.g., a common reference signal CRS, etc.), where only one element of W is 1 and the other elements are 0.

Fig. 10 is another schematic diagram of a virtualization model selection method according to an embodiment of the present invention, and as shown in fig. 10, the selection method includes:

1001, a base station determines a channel and/or a signal type;

in this embodiment, the channel and/or signal type may include, for example, a common channel and a non-common channel. Wherein the common channel may include a broadcast channel, a control channel, a cell-specific (cell-specific) channel, and the like; the non-common channel includes a data channel, a user-specific (UE-specific) channel, and the like. But the invention is not limited thereto.

Step 1002, judging whether the channel and/or signal type is a common channel/signal; step 1003 is performed in case of common channel/signal and step 1004 is performed in case of no common channel/signal.

Step 1003, selecting a fourth TXRU virtualization model;

wherein, in the fourth TXRU virtualization model, the weighting matrix W is a unit vector having only one element of 1 and the other elements of 0 per column. For example:

$W=\left(\begin{array}{cccc}{e}_{T_1}& e_{T_2}& \&CenterDot;\&CenterDot;\&CenterDot;& e_{T_{M_{\mathrm{TXRU}}}}\end{array}\right),$

wherein T is_i(i＝1,…,M_TXRU) Is [1, M ]_TXRU]A positive integer of (a) to (b),indicates except for the T_iA unit vector with 1 for each element and 0 for all other elements.

Step 1004, the base station determines the user scheduling type information and the virtual antenna port number V of a plurality of antenna particles in the same polarization direction in the vertical direction_port。

Step 1005, judging V_portWhether or not it is 1; at V_portIn the case of 1, step 1006 is performed, at V_portIf not 1, go to step 1008;

step 1006, judging whether to perform SU-MIMO, executing step 1007 if SU-MIMO is performed, and executing step 1009 if SU-MIMO is not performed (MU-MIMO is performed);

step 1007, choose to employ the first TXRU virtualization model.

Step 1008, judge V_portWhether or not to equal M_TXRU(ii) a At V_portIs equal to M_TXRUStep 1009 is performed in case of V_portIs not equal to M_TXRUStep 1010 is performed;

at step 1009, a second TXRU virtualization model is selected for use.

At step 1010, the first TXRU virtualization model or the third TXRU virtualization model is selected for use.

It is noted that specific embodiments of how the TXRU virtualization model is selected are schematically illustrated in fig. 5, 8 and 10. However, the present invention is not limited thereto, and may be, for example, as shown in FIGS. 5, 8 and 10, at V_port1 and under the condition of MU-MIMO, selecting a second TXRU virtualization model; or the user scheduling type information can be directly judged, and the second TXRU virtualization model is selected to be adopted under the condition of MU-MIMO. The specific selection conditions can be determined according to actual conditions.

The above description is made on how to select the TXRU virtualization model, and the following description is made on how to determine the virtualization weighting matrix.

In this embodiment, the base station may receive optimal beam information for a TXRU virtualization model transmitted by the user equipment; and for the TXRU virtualization model, the base station selects one or more beam forming TXRU virtualization weighting matrixes W according to the optimal beam information_TXRU。

Specifically, after the user equipment estimates the channels, the lengths of the channels may be set to beM × 1 andthe code book (may be a DFT code book or a code book represented by equation (1)) selects a beam used for virtualization for the TXRU virtualization model. For each subband of each user equipment, an optimal beam for three codebook lengths can be selected, respectively.

And under the condition that the number of the beam vectors of each TXRU virtualization model is different, the user equipment respectively selects and feeds back the optimal beam information aiming at each TXRU virtualization model. That is, if the number of beam vectors (which may also be referred to as codebook size) of the three lengths is different, each ue needs to feed back the optimal beams of the three lengths to the base station.

The user equipment selects and feeds back the optimal beam information from the codebook with the length of M × 1 under the condition that the number of beam vectors of each TXRU virtualization model is the same, namely, the user equipment can only feed back the optimal beam number selected from the codebook with the length of M × 1 to the base station end, because the beam with the length of M × 1 has the narrowest main lobe, the length of the beam with the wider main lobe width can be deduced to be the base station endAndthe beam direction of (a).

The number is N₁For the DFT vector of (1), the code book with length M × 1 is numbered n₁Is a code word of

${\left[\begin{array}{cccc}1& e^{j\frac{2\mathrm{\&pi;\&lambda;}{n}_1}{N_1}}& \&CenterDot;\&CenterDot;\&CenterDot;& e^{j\frac{2\mathrm{\&pi;\&lambda;}(M-1)n_1}{N_1}}\end{array}\right]}^T$

(where normalization factors are omitted); for the same size of length isAndDFT vector codebook with sequence number n₁Are respectively composed of

${\left[\begin{array}{cccc}1& e^{j\frac{2\mathrm{\&pi;\&lambda;}{n}_1}{N_1}}& \&CenterDot;\&CenterDot;\&CenterDot;& e^{j\frac{2\mathrm{\&pi;\&lambda;}(M-1)n_1}{N_1}}\end{array}\right]}^T$

Front ofBefore and afterEach element is composed of.

In this embodiment, the user equipment may feed back the optimal beam number of each sub-band to the base station, and for three TXRU virtualization models (the first TXRU virtualization model, the second TXRU virtualization model, and the third TXRU virtualization model), the base station selects 1, M, from the fed-back beam numbers respectively_TXRUOr M/M_TXRUIndividual beam forming TXRU virtualization weighting matrix W_TXRU. When selecting a beam, a beam with a large number of feedback times may be selected.

The above for how the TXRU virtualization weighting matrix W is formed_TXRUIs schematically illustrated. When the TXRU virtualization model is determined, the same TXRU virtualization weighting matrix will be used for all bands for all scheduled user equipments

$W_{\mathrm{TXRU}}\&Element;C^{\mathrm{MNP}\&times;M_{\mathrm{TXRU}}\mathrm{NP}},$

W_TXRUFor a block diagonal matrix, each sub-block is M × M_TXRUDimension matrix W for performing M of the same polarization direction in the vertical direction_TXRUMapping of one TXRUs to M antenna particles.

In transmission, the number of the logical ports which can be virtualized in the same polarization direction in the vertical direction is

V_port(1<＝V_port<＝M_TXRU)，

M for the antenna port virtualization matrix_TXRU×V_portDimension matrix W_PDenotes W_PEither long-term wideband weighting or instantaneous narrowband weighting.

Can simply select V_portTXRUs as V_portA logical antenna port. Namely, it is

$W_P=\left(\begin{array}{ccc}{e}_{p_1}& \&CenterDot;\&CenterDot;\&CenterDot;& e_{p_{V_{\mathrm{port}}}}\end{array}\right)$

Wherein p is_i(i＝1,…,V_port) Is [1, V ]_port]A positive integer of (a) to (b),denotes the division of p_iA unit vector with 1 for each element and 0 for all other elements.

Also can be used for M_TXRUFurther weighting each TXRUS to form V_portA logical antenna port. The following is for how to form the antenna port virtualization matrix W_PFurther explanation is made.

In this embodiment, the base station may virtualize the number V of antenna ports according to at least M antenna particles in the same polarization direction of the vertical direction_portAnd the TXRU virtualization weighting matrix W_TXRUTo determine an antenna port virtualization matrix W_P。

In this embodiment, for the first transceiver unit virtualization model, the following method can be adopted to obtainGet W_P：

First, pass through V_portCalculating the corresponding TXRU number M of each logic antenna port_TXRU/V_portAnd antenna particle number M/V_port(ii) a Then, the cosine value cos (theta) of the vertical electronic downtilt angle is obtained by the weight w of the subblock selected in the TXRU virtualization process_etilt). TXRU virtualization obtains the phase difference θ of adjacent antenna particles by w when DFT precoding is used. And calculateOr

Finally, obtain

In this embodiment, for the second transceiving unit virtualization model, W may be obtained by the following method_P：

Obtaining channel information H in vertical direction according to channel information H_V(ii) a And according to said H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portIs listed as obtaining W_P。

Specifically, in a Time Division Duplex (TDD) mode, channel information is known at the base station side(wherein N is_RNumber of receive antennas for user equipment) and TXRU virtualization model weights W_TXRU(or (W) in the case of (or W),

first, vertical channel information is acquired.

Wherein, the Kronecker product decomposition can be carried out on H,there may be a plurality of different approximate decomposition methods depending on the matrix dimension of the decomposition, e.g.

$H_H\&Element;C^{1\&times;\mathrm{NP}},H_V\&Element;C^{N_R\&times;M}.$

Also can be combined withThe channels of each row are respectively decomposed into horizontal channels with 1 × NP dimension by a kronecker productAnd a vertical channel of dimension 1 × MAnd then to

$H_V=[h_V^1;\&CenterDot;\&CenterDot;\&CenterDot;;h_V^{N_R}].$

The channel between the receiving antenna of the user equipment and any column of M antenna particles with the same polarization direction at the base station end can also be directly used as H_V。

Furthermore, H_VOr may be a statistical value or an average value of the channel information in the vertical direction.

Then, H is calculated_VW, W can be obtained by the following decomposition method_P: for example,

to H_VW is subjected to Singular Value Decomposition (SVD) to obtain H_VW＝USV^H，W_PFront V of V matrix_portColumns; or

To (H)_VW)^HOrthogonal triangular (QR) decomposition is carried out to obtain (H)_VW)^H＝QR，W_PFront V being Q matrix_portAnd (4) columns.

In the present embodiment, for the third TXRU virtualization model, W can be obtained as follows_P：

For each of the L groups, acquiring channel information H in the vertical direction according to the channel information H_VAnd according to said H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portColumn obtains the weighting matrix W of the group'_P；

Thereby obtaining

In the present embodiment, for the fourth TXRU virtualization model, W can be obtained as follows_P：

Selection of V_portA transceiver unit as V_portA logical antenna port; namely, it is

As can be seen from the foregoing embodiments, the TXRU virtualization model is selected according to the user scheduling type information and the number of antenna ports virtualized by multiple antenna particles in the same polarization direction in the vertical direction; the TXRU virtualization model can thus be adaptively selected. In addition, a TXRU virtualization weighting matrix W may be obtained_TXRUAnd an antenna port virtualization matrix W_PTherefore, the method can be better applied to a large-scale MIMO system.

Example 2

The embodiment of the invention provides a virtualization model selection device of an antenna array, which is configured in a base station with the antenna array. The embodiment of the present invention corresponds to the method for selecting a virtualization model of an antenna array described in embodiment 1, and the same contents are not repeated.

Fig. 11 is a schematic diagram of a virtualization model selection apparatus according to an embodiment of the present invention, and as shown in fig. 11, the virtualization model selection apparatus 1100 includes:

an information determining unit 1101 that determines user scheduling type information and the number of antenna ports of multiple antenna particle virtualizations in the same polarization direction in the vertical direction;

the model selecting unit 1102 selects a virtualized model of the transceiver unit according to the user scheduling type information and the number of antenna ports virtualized by multiple antenna particles in the same polarization direction in the vertical direction.

In this embodiment, the user scheduling type information may include: single-user MIMO and/or multi-user MIMO; the virtual antenna port number of the M antenna particles in the same polarization direction in the vertical direction is V_port；

The model selection unit 1102 may specifically be configured to: at V_portIs 1 and is subjected toUnder the condition of user MIMO, a first transceiving unit virtualization model is selected to be adopted; in multi-user MIMO, or V_portIs equal to M_TXRUUnder the condition of (1), selecting to adopt a second transceiving unit virtualization model; at V_portIs not 1 and is not equal to M_TXRUUnder the condition of (1), selecting to adopt a third transceiving unit virtualization model or a first transceiving unit virtualization model;

wherein, M is_TXRUThe number of the receiving and transmitting units which are connected by M antenna particles in the same polarization direction of each column in the vertical direction; in the first transceiving unit virtualization model, each transceiving unit is connected with K antenna particles, and K is M/M_TXRU(ii) a In the second transceiving unit virtualization model, each transceiving unit is connected with M antenna particles; in the third transceiving unit virtualization model, M_TXRUThe transmitting and receiving units and the M antenna particles are divided into L groups, and the antenna particles in each group are fully connected with the transmitting and receiving units.

Fig. 12 is another schematic diagram of a virtualization model selecting apparatus according to an embodiment of the present invention, and as shown in fig. 12, the virtualization model selecting apparatus 1200 includes: the information determining unit 1101 and the model selecting unit 1102 are as described above.

As shown in fig. 12, the virtualization model selecting apparatus 1200 may further include:

a type determining unit 1201 for determining a channel and/or signal type; and the model selection unit 1101 may be further configured to select the transceiver unit virtualization model according to channel and/or signal type.

Wherein the channel and/or signal type may include: common channels/signals and/or non-common channels/signals; the model selection unit 1101 is further configured to: under the condition that the channel and/or signal type is a common channel/signal, selecting to adopt a fourth transceiving unit virtualization model; in the fourth transceiving unit virtualization model, the weighting matrix supports a unit vector with only one element of 1 and other elements of 0 in each column.

As shown in fig. 12, the virtualization model selecting apparatus 1200 may further include:

a beam information receiving unit 1202, configured to receive optimal beam information for the transceiver virtualization model sent by a user equipment; under the condition that the number of the beam vectors of each virtual model of the transceiver unit is different, the user equipment respectively selects and feeds back the optimal beam information aiming at each virtual model of the transceiver unit; under the condition that the number of the beam vectors of the virtualization models of the transceiver units is the same, the user equipment selects and feeds back the optimal beam information from a codebook with the length of M multiplied by 1;

a first matrix determining unit 1203, configured to select one or more beamforming transmit/receive unit virtualization weighting matrices W according to the optimal beam information for the transmit/receive unit virtualization model_TXRU。

As shown in fig. 12, the virtualization model selecting apparatus 1200 may further include:

a second matrix determining unit 1204 for determining the virtual antenna port number V of M antenna particles at least according to the same polarization direction of the vertical direction_portAnd the transceiver unit virtualization weighting matrix W_TXRUDetermining an antenna port virtualization matrix W_P。

The second matrix determining unit 1204 may specifically be configured to:

for the first transceiver unit virtualization model,

through V_portCalculating the number of the receiving and transmitting units and the number of antenna particles corresponding to each logic antenna port;

according to W_TXRUObtaining electronic downward inclination angle information in the vertical direction, and obtaining a phase difference theta of adjacent antenna particles; and calculateOr

Thereby obtaining

For the second transceiver unit virtualization model,

obtaining channel information H in vertical direction according to channel information H_V(ii) a And according to said H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portIs listed as obtaining W_P。

For the third transceiving element virtualization model,

for each of the L groups, acquiring channel information H in the vertical direction according to the channel information H_VAnd according to said H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portColumn obtains the weighting matrix W of the group'_P；

Thereby obtaining

For the fourth transceiving element virtualization model,

selection of V_portA transceiver unit as V_portA logical antenna port; namely, it is

As can be seen from the foregoing embodiments, the TXRU virtualization model is selected according to the user scheduling type information and the number of antenna ports virtualized by multiple antenna particles in the same polarization direction in the vertical direction; the TXRU virtualization model can thus be adaptively selected. In addition, a TXRU virtualization weighting matrix W may be obtained_TXRUAnd antenna port virtualization momentArray W_PTherefore, the method can be better applied to a large-scale MIMO system.

Example 3

The embodiment of the invention also provides a communication system, and the same contents as those in the embodiments 1 and 2 are not repeated. Fig. 13 is a schematic diagram of a communication system according to an embodiment of the present invention, and as shown in fig. 13, the communication system 1300 includes: base station 1301 and user equipment 1302;

the base station 1301 determines user scheduling type information and the number of antenna ports of multiple antenna particle virtualizations in the same polarization direction in the vertical direction; and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

The present embodiment also provides a base station configured with the virtualization model selection apparatus 1100 or 1200 as described above.

Fig. 14 is a schematic diagram of a configuration of a base station according to an embodiment of the present invention. As shown in fig. 14, the base station 1400 may include: a Central Processing Unit (CPU)200 and a memory 210; the memory 210 is coupled to the central processor 200. Wherein the memory 210 can store various data; further, a program for information processing is stored and executed under the control of the central processing unit 200.

The base station 1400 may implement the virtualization model selection method described in embodiment 1. The central processor 200 may be configured to implement the functions of the virtualization model selection apparatus 1100 or 1200; that is, the central processor 200 may be configured to control as follows: determining user scheduling type information and the number of antenna ports of multiple antenna particle virtualizations in the same polarization direction in the vertical direction; and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

In addition, as shown in fig. 14, the base station 1400 may further include: transceiver 220 and antenna 230, etc.; the functions of the above components are similar to those of the prior art, and are not described in detail here. It is noted that the base station 1400 does not necessarily include all of the components shown in fig. 14; furthermore, the base station 1400 may also include components not shown in fig. 14, which may be referred to in the prior art.

An embodiment of the present invention further provides a computer-readable program, where when the program is executed in a base station, the program causes a computer to execute the virtualization model selection method described in embodiment 1 in the base station.

The embodiment of the present invention further provides a storage medium storing a computer-readable program, where the computer-readable program enables a computer to execute the virtualization model selection method described in embodiment 1 in a base station.

The above devices and methods of the present invention can be implemented by hardware, or can be implemented by hardware and software. The present invention relates to a computer-readable program which, when executed by a logic section, enables the logic section to realize the above-described apparatus or constituent section, or to realize the above-described various methods or steps. The present invention also relates to a storage medium such as a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, or the like, for storing the above program.

While the invention has been described with reference to specific embodiments, it will be apparent to those skilled in the art that these descriptions are illustrative and not intended to limit the scope of the invention. Various modifications and alterations of this invention will become apparent to those skilled in the art based upon the spirit and principles of this invention, and such modifications and alterations are also within the scope of this invention.

With respect to the embodiments including the above embodiments, the following remarks are also disclosed:

(supplementary note 1) a virtualization model selection apparatus of an antenna array, the selection apparatus comprising:

the information determining unit is used for determining user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction;

and the model selection unit selects the virtualization model of the transceiver unit according to the user scheduling type information and the number of antenna ports of the multiple antenna particles virtualized in the same polarization direction in the vertical direction.

(supplementary note 2) the selection apparatus according to supplementary note 1, wherein the user scheduling type information includes: single-user MIMO and/or multi-user MIMO; the virtual antenna port number of the M antenna particles in the same polarization direction in the vertical direction is V_port；

The model selection unit is configured to: at V_port1 and under the condition of single-user MIMO, selecting a first transceiving unit virtualization model; in multi-user MIMO, or V_portIs equal to M_TXRUUnder the condition of (1), selecting to adopt a second transceiving unit virtualization model; at V_portIs not 1 and is not equal to M_TXRUUnder the condition of (1), selecting to adopt a third transceiving unit virtualization model or a first transceiving unit virtualization model;

wherein M is_TXRUThe number of the receiving and transmitting units which are connected by M antenna particles in the same polarization direction of each column in the vertical direction; in the first transceiving unit virtualization model, each transceiving unit is connected with K antenna particles, and K is M/M_TXRU(ii) a In the second transceiving unit virtualization model, each transceiving unit is connected with M antenna particles; in the third transceiving unit virtualization model, M_TXRUThe transmitting and receiving units and the M antenna particles are divided into L groups, and the antenna particles in each group are fully connected with the transmitting and receiving units.

(supplementary note 3) the selection device according to supplementary note 1, wherein the selection device further comprises:

a type determining unit for determining a channel and/or signal type;

the model selection unit is further configured to select the transceiver unit virtualization model according to the channel and/or signal type.

(supplementary note 4) the selection apparatus according to supplementary note 3, wherein the channel and/or signal type includes: common channels/signals and/or non-common channels/signals;

the model selection unit is further configured to: under the condition that the channel and/or signal type is a common channel/signal, selecting to adopt a fourth transceiving unit virtualization model; in the fourth transceiving unit virtualization model, the weighting matrix supports a unit vector with only one element of 1 and other elements of 0 in each column.

(supplementary note 5) the selection device according to supplementary note 1, wherein the selection device further comprises:

the beam information receiving unit is used for receiving the optimal beam information which is sent by the user equipment and aims at the virtual model of the receiving and sending unit; under the condition that the number of the beam vectors of each virtual model of the transceiver unit is different, the user equipment respectively selects and feeds back the optimal beam information aiming at each virtual model of the transceiver unit; under the condition that the number of the beam vectors of the virtualization models of the transceiver units is the same, the user equipment selects and feeds back the optimal beam information from a codebook with the length of M multiplied by 1;

a first matrix determining unit for selecting one or more beam forming transceiver unit virtualization weighting matrixes W according to the optimal beam information aiming at the transceiver unit virtualization model_TXRU。

(supplementary note 6) the selection device according to supplementary note 5, wherein the selection device further comprises:

a second matrix determining unit for determining the virtual antenna port number V of M antenna particles at least according to the same polarization direction of the vertical direction_portAnd the transceiver unit virtualization weighting matrix W_TXRUDetermining an antenna port virtualization matrix W_P。

(supplementary note 7) the selection apparatus according to supplementary note 6, wherein the second matrix determination unit is configured to:

for the first transceiver unit virtualization model,

through V_portCalculating the number of the receiving and transmitting units and the number of antenna particles corresponding to each logic antenna port;

according to W_TXRUObtaining electronic downward inclination angle information in the vertical direction, and obtaining a phase difference theta of adjacent antenna particles; and calculateOr

Thereby obtaining

(supplementary note 8) the selection apparatus according to supplementary note 6, wherein the second matrix determination unit is configured to:

for the second transceiver unit virtualization model,

obtaining channel information H in vertical direction according to channel information H_V(ii) a And according to H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portIs listed as obtaining W_P。

(supplementary note 9) the selection apparatus according to supplementary note 6, wherein the second matrix determination unit is configured to:

for the third transceiving element virtualization model,

for each of the L groups, acquiring channel information H in the vertical direction according to the channel information H_VAnd according to H_VAnd W_TXRUPerforming a decomposition calculation to obtain an intermediate matrix, based on saidFront V of intermediate matrix_portColumn obtains the weighting matrix W of the group'_P；

Thereby obtaining

(supplementary note 10) the selection apparatus according to supplementary note 6, wherein the second matrix determination unit is configured to:

for the fourth transceiving element virtualization model,

selection of V_portA transceiver unit as V_portA logical antenna port; namely, it is

(supplementary note 11) a virtualization model selection method of an antenna array, the selection method comprising:

a base station determines user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction; and

and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

(supplementary note 12) the selecting method according to supplementary note 11, wherein the user scheduling type information includes: single-user MIMO and/or multi-user MIMO; the virtual antenna port number of the M antenna particles in the same polarization direction in the vertical direction is V_port；

At V_port1 and under the condition of single-user MIMO, selecting a first transceiving unit virtualization model;

in multi-user MIMO, or V_portIs equal to M_TXRUUnder the condition of (1), selecting to adopt a second transceiving unit virtualization model;

at V_portIs not 1 and is not equal to M_TXRUUnder the condition of (1), selecting to adopt a third transceiving unit virtualization model or a first transceiving unit virtualization model;

wherein M is_TXRUThe number of the receiving and transmitting units which are connected by M antenna particles in the same polarization direction of each column in the vertical direction; in the first transceiving unit virtualization model, each transceiving unit is connected with K antenna particles, and K is M/M_TXRU(ii) a In the second transceiving unit virtualization model, each transceiving unit is connected with M antenna particles; in the third transceiving unit virtualization model, M_TXRUThe transmitting and receiving units and the M antenna particles are divided into L groups, and the antenna particles in each group are fully connected with the transmitting and receiving units.

(supplementary note 13) the selection method according to supplementary note 11, wherein the selection method further comprises:

determining a channel and/or signal type; and

selecting the transceiver unit virtualization model according to the channel and/or signal type.

(supplementary note 14) the selection method according to supplementary note 13, wherein the channel and/or signal type includes: common channels/signals and/or non-common channels/signals;

under the condition that the channel and/or signal type is a common channel/signal, selecting to adopt a fourth transceiving unit virtualization model; in the fourth transceiving unit virtualization model, the weighting matrix supports a unit vector with only one element of 1 and other elements of 0 in each column.

(supplementary note 15) the selection method according to supplementary note 11, wherein the selection method further comprises:

receiving optimal beam information aiming at the transceiving unit virtualization model sent by user equipment; and

for the transceiver unit virtualization model, according to the optimal beamInformation selection one or more beamforming Transmit-receive Unit virtualization weighting matrices W_TXRU；

Under the condition that the number of the beam vectors of each virtual model of the transceiver unit is different, the user equipment respectively selects and feeds back the optimal beam information aiming at each virtual model of the transceiver unit; and under the condition that the number of the beam vectors of the virtualization models of the transmitting and receiving units is the same, the user equipment selects the optimal beam information from a code book with the length of M multiplied by 1 and feeds the optimal beam information back.

(supplementary note 16) the selection method according to supplementary note 15, wherein the selection method further comprises:

at least according to the number V of virtual antenna ports of M antenna particles in the same polarization direction of the vertical direction_portAnd the transceiver unit virtualization weighting matrix W_TXRUDetermining an antenna port virtualization matrix W_P。

(supplementary note 17) the selection method according to supplementary note 16, wherein, for the first transceiving unit virtualization model,

through V_portCalculating the number of the receiving and transmitting units and the number of antenna particles corresponding to each logic antenna port;

according to W_TXRUObtaining electronic downward inclination angle information in the vertical direction, and obtaining a phase difference theta of adjacent antenna particles; and calculateOr

Thereby obtaining

(supplementary note 18) the selection method according to supplementary note 16, wherein, for the second transceiving unit virtualization model,

obtaining channel information H in vertical direction according to channel information H_V(ii) a And according to H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portIs listed as obtaining W_P。

(supplementary note 19) the selection method according to supplementary note 16, wherein, for the third transceiving unit virtualization model,

for each of the L groups, acquiring channel information H in the vertical direction according to the channel information H_VAnd according to H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portColumn obtains the weighting matrix W of the group'_P；

Thereby obtaining

(supplementary note 20) the selection method according to supplementary note 16, wherein, for the fourth transceiving unit virtualization model,

selection of V_portA transceiver unit as V_portA logical antenna port; namely, it is

(supplementary note 21) a communication system, comprising:

the base station determines user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction; and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

Claims (10)

1. A virtualization model selection apparatus for an antenna array, the selection apparatus comprising:

the information determining unit is used for determining user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction;

and the model selection unit selects the virtualization model of the transceiver unit according to the user scheduling type information and the number of antenna ports of the multiple antenna particles virtualized in the same polarization direction in the vertical direction.

2. Selection apparatus according to claim 1, wherein said user scheduling type information comprises: single-user MIMO and/or multi-user MIMO; the virtual antenna port number of the M antenna particles in the same polarization direction in the vertical direction is V_port；

The model selection unit is configured to: at V_port1 and under the condition of single-user MIMO, selecting a first transceiving unit virtualization model; in multi-user MIMO, or V_portIs equal to M_TXRUUnder the condition of (1), selecting to adopt a second transceiving unit virtualization model; at V_portIs not 1 and is not equal to M_TXRUUnder the condition of (1), selecting to adopt a third transceiving unit virtualization model or a first transceiving unit virtualization model;

wherein M is_TXRUThe number of the receiving and transmitting units which are connected by M antenna particles in the same polarization direction of each column in the vertical direction; in the first transceiving unit virtualization model, each transceiving unit is connected with K antenna particles, and K is M/M_TXRU(ii) a In the second transceiving unit virtualization model, each transceiving unit is connected with M antenna particles; in the third transceiving unit virtualization model, M_TXRUThe transmitting and receiving units and the M antenna particles are divided into L groups, and the antenna particles in each group are fully connected with the transmitting and receiving units.

3. The selection device of claim 1, wherein the selection device further comprises:

a type determining unit for determining a channel and/or signal type;

the model selection unit is further configured to select the transceiver unit virtualization model according to the channel and/or signal type.

4. Selection apparatus according to claim 3, wherein the channel and/or signal type comprises: common channels/signals and/or non-common channels/signals;

the model selection unit is further configured to: under the condition that the channel and/or signal type is a common channel/signal, selecting to adopt a fourth transceiving unit virtualization model; in the fourth transceiving unit virtualization model, the weighting matrix is a unit vector in which only one element in each column is 1 and the other elements are 0.

5. The selection device of claim 1, wherein the selection device further comprises:

the beam information receiving unit is used for receiving the optimal beam information which is sent by the user equipment and aims at the virtual model of the receiving and sending unit; under the condition that the number of the beam vectors of each virtual model of the transceiver unit is different, the user equipment respectively selects and feeds back the optimal beam information aiming at each virtual model of the transceiver unit; under the condition that the number of the beam vectors of the virtualization models of the transceiver units is the same, the user equipment selects and feeds back the optimal beam information from a codebook with the length of M multiplied by 1;

a first matrix determining unit for selecting one or more beams according to the optimal beam information to determine a virtual weighting matrix W of the transceiver unit aiming at the virtualization model of the transceiver unit_TXRU。

6. Selection device according to claim 5, wherein the selection device further comprises:

a second matrix determining unit for determining the virtual antenna port number V of M antenna particles at least according to the same polarization direction of the vertical direction_portAnd the transceiver unit virtualization weighting matrix W_TXRUDetermining an antenna port virtualization matrix W_P。

7. Selection apparatus according to claim 6, wherein the second matrix determination unit is configured to:

for the first transceiver unit virtualization model,

through V_portCalculating the number of the receiving and transmitting units and the number of antenna particles corresponding to each logic antenna port; and according to W_TXRUObtaining vertical electronic downtilt informationAnd obtaining the phase difference theta of adjacent antenna particles; and calculateOr

Thereby obtaining

For the second transceiver unit virtualization model,

obtaining channel information H in vertical direction according to channel information H_V(ii) a And according to said H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portIs listed as obtaining W_P；

For the third transceiving element virtualization model,

for each of the L groups, acquiring channel information H in the vertical direction according to the channel information H_VAnd according to said H_VAnd W_TXRUPerforming decomposition calculation to obtain an intermediate matrix, and obtaining a front V of the intermediate matrix_portColumn-wise deriving the weighting matrix W for the group_P’；

Thereby obtaining

For the fourth transceiving element virtualization model,

selection of V_portA transceiver unit as V_portA logical antenna port; namely, it is

$W_P=(e_{p1}......e_{p_{\mathrm{Vport}}}).$

8. A method of selecting a virtualization model for an antenna array, the method of selecting comprising:

a base station determines user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction; and

and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.

9. The selection method of claim 8, wherein the selection method further comprises:

determining a channel and/or signal type; and

selecting the transceiver unit virtualization model according to the channel and/or signal type.

10. A communication system, the communication system comprising:

the base station determines user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction; and selecting a receiving and sending unit virtualization model according to the user scheduling type information and the number of antenna ports of a plurality of antenna particles in the same polarization direction in the vertical direction.