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

Abstract

Embodiments of the present invention provide a method, device and communication system for selecting a virtualized model of an antenna array. The selection method includes: the base station determines user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; and according to the user scheduling type information and the same vertical direction in the vertical direction The number of antenna ports virtualized by multiple antenna particles, select the TXRU virtualization model. Through the embodiment of the present invention, the TXRU virtualization model can be adaptively selected, which is better applied to a massive MIMO system.

Description

Antenna array virtualization model selection method, device and communication system

technical field

Embodiments of the present invention relate to the field of communication technology, and in particular to a method, device and communication system for selecting a virtualization model of an antenna array in a massive multiple input multiple output (MIMO, Multiple Input Multiple Output) system.

Background technique

Millimeter wave (mmWave) technology and massive MIMO technology are two candidate technologies for future fifth-generation mobile communication technology research. The combination of the two can provide the system with wider transmission bandwidth and more antennas, thereby improving system performance. .

However, the increase in the number of antennas and the number of subcarriers will make the baseband precoding technology difficult to implement. On the one hand, the processing complexity is high, and a large-dimensional matrix multiplication calculation needs to be performed on each subcarrier, and the system complexity increases significantly as the number of antennas and bandwidth increase. On the other hand, if flexible baseband precoding technology is implemented, each physical antenna needs to be equipped with a radio frequency chain (RF chian), including amplifiers, mixers, digital-to-analog converters, and analog-to-digital converters. high.

If the precoding technology is placed on the radio frequency unit, each symbol performs a large-dimensional matrix operation, which will greatly reduce the system complexity, but the system performance will also decrease accordingly. Hybrid baseband and radio frequency precoding (beamforming) combines the advantages of baseband precoding and radio frequency precoding, and can perform precoding operations on both baseband and radio frequency, which is more suitable for the application of massive MIMO systems and achieves system performance ( flexibility) and complexity.

In the current research on Adaptive Antenna System (AAS, Adaptive Antenna System) of 3GPP RAN4, it is defined that transceiver units (TXRU, Transceiver Units) include multiple transmitting units (TXU) and receiving units (RXU). The TXU takes the baseband signal of the base station AAS as input, and provides the output of the radio frequency transmission signal. The output of the radio frequency transmission is distributed to the antenna array through a radio distribution network (RDN, Radio Distribution Network).

FIG. 1 is a schematic diagram of an AAS wireless structure. As shown in Figure 1, the RDN includes a one-to-one mapping between TXU(s)/RXU(s) and antenna arrays, which may only be a logical entity, not necessarily a physical entity. RXU performs the reverse operation of TXU.

It can be seen from Figure 1 that if RF and baseband hybrid precoding (beamforming) is performed, RF precoding/weighting will be performed on the TXRU, that is, the TXRU is equivalent to the function of the RF chain, due to the limitations of the digital-to-analog converter and the analog-to-digital converter , each TXRU can only process one valid data stream at a time. In the research of 3GPP RAN1, the relationship between the TXRU input signal and the signal at the antenna particle is defined as the TXRU virtualization model, and the relationship between the logical antenna port and the TXRU signal is defined as the port virtualization model.

It should be noted that the above introduction of the technical background is only for the convenience of a clear and complete description of the technical solution of the present invention, and for the convenience of understanding by those skilled in the art. It cannot be considered that the above technical solutions are known to those skilled in the art just because these solutions are described in the background of the present invention.

Contents of the invention

The inventors found that currently only a virtualization model is defined, and there is no solution for how to select a virtualization model, which cannot be better applied to a massive MIMO system.

Embodiments of the present invention provide a method, device and communication system for selecting a virtualization model of an antenna array. Through the embodiment of the present invention, the TXRU virtualization model can be adaptively selected.

According to a first aspect of an embodiment of the present invention, a device for selecting a virtualized model of an antenna array is provided, and the device for selecting includes:

An information determination unit, which determines user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same polarization direction in the vertical direction;

The model selection unit selects a virtualization model of the transceiver unit 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 vertical direction.

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

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

A virtualization model of the transceiver unit 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 vertical direction.

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

The base station determines the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; For the number of antenna ports, select the virtualization model of the transceiver unit.

The beneficial effect of the embodiments of the present invention is that the TXRU virtualization model is selected according to the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction. Therefore, the TXRU virtualization model can be adaptively selected, and it can be better applied to a massive MIMO system.

With reference to the following description and accompanying drawings, the specific implementation manners of the embodiments of the present invention are disclosed in detail, indicating how the principles of the embodiments of the present invention can be adopted. It should be understood that embodiments of the invention are not limited thereby in scope. Embodiments of the invention encompass many changes, modifications and equivalents within the spirit and scope of the appended claims.

Features described and/or illustrated with respect to one embodiment can be used in the same or similar manner in one or more other embodiments, in combination with, or instead of features in other embodiments .

It should be emphasized that the term "comprising/comprising" when used herein refers to the presence of a feature, integer, step or component, but does not exclude the presence or addition of one or more other features, integers, steps or components.

Description of drawings

The included drawings are used to provide further understanding of the embodiments of the present invention, and constitute a part of the specification, are used to illustrate the implementation mode of the present invention, and together with the text description, explain the principle of the present invention. Apparently, the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can obtain other drawings according to these drawings without any creative effort. In the attached picture:

FIG. 1 is a schematic diagram of an AAS wireless structure;

Fig. 2 is a schematic structural diagram of a planar antenna array configured with co-polarized antennas;

3 is a schematic structural diagram of a planar antenna array configured with cross-polarized antennas;

4 is a schematic diagram of a method for selecting a virtualization model according to an embodiment of the present invention;

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

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

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

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

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

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

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

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

FIG. 13 is a schematic diagram of a communication system according to an embodiment of the present invention;

Fig. 14 is a schematic structural diagram 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, with reference to the accompanying drawings. In the specification and drawings, specific embodiments of the present invention are disclosed, which show some embodiments in which the principles of the embodiments of the present invention can be employed. It should be understood that the present invention is not limited to the described embodiments, but rather , the embodiments of the present invention include all modifications, variations and equivalents falling within the scope of the appended claims.

Figure 2 and Figure 3 provide schematic diagrams of two planar antenna array structures related to the embodiment of the present invention, Figure 2 is a schematic structural diagram of a planar antenna array configured with co-polarized antennas, and Figure 3 is a planar antenna configured with cross-polarized antennas A schematic diagram of the structure of the array.

As shown in FIG. 2 , M antenna particles (also referred to as physical antenna particles) with the same polarization direction are placed in each column in the vertical direction, and N columns are placed 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. That is, there are M physical antenna particles for each polarization direction in a vertical column, and N physical antenna particles for each polarization direction in a horizontal row.

These two antenna configurations can be expressed as (M,N,P), where P represents the number of polarization dimensions, and when P=1, it is the same-polarization configuration, as shown in Figure 2; when P=2, it is cross-polarization configuration, as shown in Figure 3. M antenna particles in the same polarization direction in each row are connected to M _TXRU TXRUs, and the total number of TXRUs is M _TXRU ×N×P.

In the above-mentioned planar antenna array system, as the number of antennas increases, the overhead of reference signals also increases. In order to exert the beam adjustment function in the vertical direction and control the number of antenna ports at the same time, multiple antenna particles in the vertical direction can be virtualized as one or more antenna ports. Within a virtual antenna port, the vertical beam direction is adjusted by weighting multiple physical antenna elements. Corresponding to the weighting of physical antenna particles, the weighting of virtual antenna ports is a precoding operation in the traditional sense.

The planar antenna array related to the embodiment of the present invention has been described above, but the present invention is not limited thereto. The embodiments of the present invention will be described in detail below.

Example 1

An embodiment of the present invention provides a method for selecting a virtualized model of an antenna array, and the method can be applied to a base station with an antenna array. FIG. 4 is a schematic diagram of a method for selecting a virtualization model according to an embodiment of the present invention. As shown in FIG. 4, the selection method includes:

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

Step 402: Select a virtualization model of the transceiver unit 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 vertical direction.

In this embodiment, the base station has, for example, an antenna array 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 number of virtual antenna ports of M antenna particles in the same polarization direction in the vertical direction is V _port . Thus, the TXRU virtualization model can be selected according to, for example, SU-MIMO or MU-MIMO and V _port .

FIG. 5 is another schematic diagram of a method for selecting a virtualization model according to an embodiment of the present invention. As shown in FIG. 5, the selection method includes:

In step 501, the base station determines user scheduling type information and the number of virtual antenna ports V _port of multiple antenna particles in the same polarization direction in the vertical direction.

Step 502, judge whether V _port is 1; execute step 503 when V _port is 1, execute step 505 when V _port is not 1;

Step 503, judge whether to perform SU-MIMO, perform step 504 in the case of performing SU-MIMO, and perform step 506 in the case of not performing SU-MIMO (performing MU-MIMO);

Step 504, choose to adopt the first TXRU virtualization model.

Step 505, judge whether V _port is equal to M _TXRU ; execute step 506 when V _port is equal to M _TXRU , and execute step 507 when V _port is not equal to M _TXRU ;

Wherein, the M _TXRU is the number of transceiver units connected to M antenna particles in the same polarization direction in each column in the vertical direction.

Step 506, choose to adopt the second TXRU virtualization model.

Step 507, choose to adopt the first TXRU virtualization model.

Each TXRU virtualization model will be described in detail below.

In the first TXRU virtualization model, each TXRU is connected with K antenna particles, K=M/M _TXRU . FIG. 6 is a schematic diagram of a first TXRU virtualization model according to an embodiment of the present invention. As shown in FIG. 6 , the first TXRU virtualization model is a sub-array partition model.

As shown in Figure 6, for a column of M antenna particles and M _{TXRU TXRUs} in the same polarization direction, q is the signal vector at the antenna particle, that is, the transmit signal vector of the antenna, and x is the signal vector at the TXRU. Wherein, each TXRU is connected with K antenna particles, K=M/M _TXRU ; w is the weight of each TXRU to the data flow, and M _TXRU TXRUs all use the same weighting, that is, the virtualization model can be expressed as in For the Kronecker (kronecker) product operation, w can be a discrete Fourier transform (DFT, Discrete FourierTransform) vector, for example

${\mathrm{<span\; class="notranslate">\; w</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\sqrt{\mathrm{<span\; class="notranslate">\; K</span>}}}\mathrm{<span\; class="notranslate">\; exp</span>}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;</span>}}{\mathrm{<span\; class="notranslate">\; \&lambda;</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; k</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; d</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}\mathrm{<span\; class="notranslate">\; cos</span>}{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; etilt</span>}}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; for\; k</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

Among them, θ _etilt is the electron downtilt angle in the vertical direction.

In the second TXRU virtualization model, each TXRU is connected to M antenna particles. FIG. 7 is a schematic diagram of a second TXRU virtualization model according to an embodiment of the present invention. As shown in FIG. 7 , the second TXRU virtualization model is a fully connected model.

As shown in Figure 7, for a column of M antenna particles and M _{TXRU TXRUs} in the same polarization direction, q is the signal vector at the antenna particle, that is, the transmit signal vector of the antenna, and x is the signal vector at the TXRU. Wherein, each TXRU is connected to M antenna particles, and W is the weight of M _TXRUs on the signal x, that is, the virtualization model can be expressed as q=Wx. Each column of W can be a DFT vector, e.g.

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\sqrt{\mathrm{<span\; class="notranslate">\; m</span>}}}\mathrm{<span\; class="notranslate">\; exp</span>}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;</span>}}{\mathrm{<span\; class="notranslate">\; \&lambda;</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; d</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}\mathrm{<span\; class="notranslate">\; cos</span>}{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; etilt</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}<span\; class="notranslate">\; )</span>$

m=1,...,M; m'=1,...,M _TXRU

Among them, θ _etilt is the electron downtilt angle in the vertical direction. or,

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\sqrt{\mathrm{<span\; class="notranslate">\; m</span>}}}\mathrm{<span\; class="notranslate">\; exp</span>}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; d</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}{\mathrm{<span\; class="notranslate">\; no</span>}}_{{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}}{\mathrm{<span\; class="notranslate">\; \&lambda;</span>}{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}}}<span\; class="notranslate">\; )</span>$

m=1,...,M; m'=1,...,M _TXRU

where N _M represents the size of the DFT vector of length M. n _m' indicates the index of the DFT vector selected by the m'th TXRU in the codebook.

In this embodiment, the expression of the first TXRU virtualization model can be rewritten as,

In the first TXRU virtualization model and the second TXRU virtualization model, the weighting matrix of the signal vector x is M rows and M _TXRU 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, that is, each TXRUs uses the same electronic downtilt when weighting in the vertical direction. Therefore, the first TXRU virtualization model is suitable for the case of a single user, in which M antenna particles with the same polarization direction in the vertical direction are virtualized into multiple antenna ports for transmission.

In the second TXRU virtualization model, the weighting matrix is an ordinary matrix, and each column corresponds to a DFT vector of length M, which means that each TXRUs uses different electronic downtilt angles when weighting in the vertical direction. Therefore, the second TXRU virtualization model is suitable for multi-user transmission scenarios. Each user can select a TXRU for radio frequency precoding, and it is also suitable for single-user situations. M antenna particles in the same vertical polarization direction are only virtualized into one antenna port. In the case of transmission, that is, the user can select one TXRU or use a linear combination of weighted values of M _TXRU TXRUs for transmission.

Since the first TXRU virtualization model can be realized by changing the connection mode of the second TXRU virtualization model, that is, it can be realized by setting some weights of the weight matrix W to zero. Therefore, during actual communication, the first TXRU virtualization model or the second TXRU virtualization model can be adaptively selected according to actual transmission conditions.

In this embodiment, when M antenna particles in the same polarization direction in the vertical direction are virtualized as V _port antenna ports (1<V _port <M _TXRU ), in order to better improve performance, more than two The TXRU is connected to the same part of the antenna particles.

FIG. 8 is another schematic diagram of a method for selecting a virtualization model according to an embodiment of the present invention. As shown in FIG. 8, the selection method includes:

In step 801, the base station determines user scheduling type information and the number of virtual antenna ports V _port of multiple antenna particles in the same polarization direction in the vertical direction.

Step 802, judging whether V _port is 1; if V _port is 1, execute step 803, and if V _port is not 1, execute step 805;

Step 803, judge whether to perform SU-MIMO, perform step 804 in the case of performing SU-MIMO, and perform step 806 in the case of not performing SU-MIMO (performing MU-MIMO);

Step 804, choose to adopt the first TXRU virtualization model.

Step 805, judge whether V _port is equal to M _TXRU ; execute step 806 when V _port is equal to M _TXRU , and execute step 807 when V _port is not equal to M _TXRU ;

Step 806, choose to adopt the second TXRU virtualization model.

Step 807, choose to adopt the third TXRU virtualization model.

In the third TXRU virtualization model, M _TXRU transceiver units and M antenna particles are divided into L groups, and the antenna particles in each group are fully connected to the transceiver unit.

Fig. 9 is a schematic diagram of a third TXRU virtualization model according to an embodiment of the present invention. As shown in Figure 9, in the third TXRU virtualization model, M _TXRU TXRUs and M antenna particles in the same polarization direction in the vertical direction are all divided into L (1<L<M _TXRU ) groups, each group The antenna particle is fully connected to the TXRU. At this time, the weight matrix W of the third TXRU virtualization model can be expressed as,

${\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\sqrt{\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; L</span>}}}\mathrm{<span\; class="notranslate">\; exp</span>}<span\; class="notranslate">\; (</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;</span>}}{\mathrm{<span\; class="notranslate">\; \&lambda;</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; d</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}\mathrm{<span\; class="notranslate">\; cos</span>}{\mathrm{<span\; class="notranslate">\; \&theta;</span>}}_{\mathrm{<span\; class="notranslate">\; etilt</span>}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}<span\; class="notranslate">\; )</span>$

$\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; ,</span>\frac{\mathrm{<span\; class="notranslate">\; m</span>}}{\mathrm{<span\; class="notranslate">\; L</span>}}<span\; class="notranslate">\; ;</span>{\mathrm{<span\; class="notranslate">\; m</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; ,</span>\frac{{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; TXRU</span>}}}{\mathrm{<span\; class="notranslate">\; L</span>}}$

Similarly, the third TXRU virtualization model can also be implemented by setting some tap coefficients in the second TXRU virtualization model to zero, so that the three virtualization models can be adaptively switched.

The TXRU virtualization model has been schematically described above, but the present invention is not limited thereto, for example, other TXRU virtualization methods may also be used. For example, DFT vectors of different lengths can be included in W at the same time; for example, in order to support the transmission of common channels (such as physical downlink control channel PDCCH, physical broadcast channel PBCH, etc.) supports unit vectors with only one element being 1 and all other elements being 0.

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

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

In this embodiment, the channel and/or signal type may include, for example, a common channel and a non-common channel. The public channels may include broadcast channels, control channels, and cell-specific channels; the non-public channels include data channels and user-specific (UE-specific) channels. But the present invention is not limited thereto.

Step 1002, determine whether the channel and/or signal type is a public channel/signal; if it is a public channel/signal, perform step 1003, and if it is not a public channel/signal, perform step 1004.

Step 1003, choose to adopt the fourth TXRU virtualization model;

Wherein, in the fourth TXRU virtualization model, the weight matrix W is a unit vector in which only one element in each column is 1 and other elements are 0. For example:

$\mathrm{<span\; class="notranslate">\; W</span>}<span\; class="notranslate">\; =</span>\left(\begin{array}{cccc}{\mathrm{<span\; class="notranslate">\; e</span>}}_{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}& {\mathrm{<span\; class="notranslate">\; e</span>}}_{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}& <span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span>& {\mathrm{<span\; class="notranslate">\; e</span>}}_{{\mathrm{<span\; class="notranslate">\; T</span>}}_{{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; TXRU</span>}}}}\end{array}\right)<span\; class="notranslate">\; ,</span>$

Where T _i (i=1,...,M _TXRU ) is a positive integer between [1,M _TXRU ], Represents a unit vector whose elements are all 0 except for the T _i -th element which is 1.

In step 1004, the base station determines user scheduling type information and the number of virtual antenna ports V _port of multiple antenna particles in the same polarization direction in the vertical direction.

Step 1005, judging whether V _port is 1; if V _port is 1, execute step 1006, and if V _port is not 1, execute step 1008;

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

Step 1007, choose to adopt the first TXRU virtualization model.

Step 1008, judge whether V _port is equal to M _TXRU ; execute step 1009 when V _port is equal to M _TXRU , and execute step 1010 when V _port is not equal to M _TXRU ;

Step 1009, choose to adopt the second TXRU virtualization model.

Step 1010, choose to adopt the first TXRU virtualization model or the third TXRU virtualization model.

It should be noted that Fig. 5, Fig. 8 and Fig. 10 all schematically show specific implementation manners of how to select a TXRU virtualization model. But the present invention is not limited thereto. For example, as shown in Figures 5, 8, and 10, when V _port is 1 and MU-MIMO is performed, the second TXRU virtualization model can be selected; or the user scheduling type can be directly performed For judging the information, in the case of performing MU-MIMO, the second TXRU virtualization model is selected. The specific selection conditions can be specifically determined according to the actual situation.

The above describes how to select a TXRU virtualization model, and the following describes how to determine a virtualization weighting matrix.

In this embodiment, the base station may receive optimal beam information for the TXRU virtualization model sent by the user equipment; and for the TXRU virtualization model, the base station selects one or more beams according to the optimal beam information to form TXRU virtualization weights Matrix W _TXRU .

Specifically, after estimating the channel, the user equipment can respectively perform M×1 and The codebook (which can be the DFT codebook or the codebook shown in formula (1)) selects the beam used for virtualization for the TXRU virtualization model. For each subband of each user equipment, optimal beams for three codebook lengths can be selected respectively.

Wherein, when the number of beam vectors of each TXRU virtualization model is different, the user equipment selects and feeds back the optimal beam information for each TXRU virtualization model respectively. That is, if the number of beam vectors (also referred to as codebook sizes) of the three lengths is different, each user equipment needs to feed back the optimal beams of the three lengths to the base station.

In the case that the number of beam vectors of each TXRU virtualization model is the same, the user equipment selects the optimal beam information from a codebook with a length of M×1 and feeds it back. That is, the user equipment may only feed back the optimal beam number selected from the codebook with a length of M×1 to the base station. Because the main lobe of the beam with a length of M×1 is the narrowest, it can be deduced that the length of the wider main lobe is and beam direction.

Taking the DFT vector with the number of N ₁ as an example, for a codebook with a length of M×1, the codeword with the sequence number n ₁ is

${\left[\begin{array}{cccc}\mathrm{<span\; class="notranslate">\; 1</span>}& {\mathrm{<span\; class="notranslate">\; e</span>}}^{\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;\&lambda;</span>}{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}}& <span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span>& {\mathrm{<span\; class="notranslate">\; e</span>}}^{\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;\&lambda;</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}}\end{array}\right]}^{\mathrm{<span\; class="notranslate">\; T</span>}}$

(the normalization factor is omitted); for the length of the same size is and The DFT vector codebook, the codewords with sequence number n ₁ are respectively composed of

${\left[\begin{array}{cccc}\mathrm{<span\; class="notranslate">\; 1</span>}& {\mathrm{<span\; class="notranslate">\; e</span>}}^{\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;\&lambda;</span>}{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}}& <span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&Center\; Dot;</span>& {\mathrm{<span\; class="notranslate">\; e</span>}}^{\mathrm{<span\; class="notranslate">\; j</span>}\frac{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&pi;\&lambda;</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; no</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}}\end{array}\right]}^{\mathrm{<span\; class="notranslate">\; T</span>}}$

before one and the previous composed of elements.

In this embodiment, the user equipment can feed back the optimal beam number of each subband to the base station, for the three TXRU virtualization models (the first TXRU virtualization model, the second TXRU virtualization model and the third TXRU virtualization model model), the base station selects one beam number from the feedback, M _TXRU or M/M _TXRU beams to form a TXRU virtualization weighting matrix W _TXRU . Wherein, during beam selection, a beam with more feedback times may be selected.

The above schematically illustrates how to form the TXRU virtualization weighting matrix W _TXRU . When the TXRU virtualization model is determined, the same TXRU virtualization weighting matrix will be used for all frequency bands of all user equipments scheduled

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; TXRU</span>}}<span\; class="notranslate">\; \&Element;</span>{\mathrm{<span\; class="notranslate">\; C</span>}}^{\mathrm{<span\; class="notranslate">\; MNP</span>}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; m</span>}}_{\mathrm{<span\; class="notranslate">\; TXRU</span>}}\mathrm{<span\; class="notranslate">\; NP</span>}}<span\; class="notranslate">\; ,</span>$

W _TXRU is a block diagonal matrix, and each sub-block is an M×M _TXRU dimensional matrix W, which is used to complete the mapping between M _TXRU TXRUs and M antenna particles in the same polarization direction in the vertical direction.

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

V _port (1<=V _port <=M _TXRU ),

The antenna port virtualization matrix is expressed by M _TXRU ×V _port dimensional matrix W _P , and W _P can be either a long-term broadband weight or an instantaneous narrow-band weight.

You can simply select V _port TXRUs as V _port logical antenna ports. which is

${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; P</span>}}<span\; class="notranslate">\; =</span>\left(\begin{array}{ccc}{\mathrm{<span\; class="notranslate">\; e</span>}}_{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}& <span\; class="notranslate">\; \&Center\; Dot;</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; \&CenterDot;</span>& {\mathrm{<span\; class="notranslate">\; e</span>}}_{{\mathrm{<span\; class="notranslate">\; p</span>}}_{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; port</span>}}}}\end{array}\right)$

Where p _i (i=1,...,V _port ) is a positive integer between [1,V _port ], Represents a unit vector whose elements are all 0 except for the p _i -th element which is 1.

It is also possible to further weight the M _TXRU TXRUs to virtualize V _port logical antenna ports. How to form the antenna port virtualization matrix W _P will be further described below.

In this embodiment, the base station may determine the antenna port virtualization matrix at least according to the virtual antenna port number V _port of the M antenna particles in the same vertical direction and the TXRU virtualization weighting matrix W _TXRU W _P .

In this embodiment, for the virtualization model of the first transceiver unit, the following method can be used to obtain W _P :

First, the number of TXRUs M _TXRU /V _port and the number of antenna particles M/V _{port corresponding to each logical antenna port are calculated through V port ;} then, the electronic downtilt angle in the vertical direction is obtained through the sub-block weighting w selected in the TXRU virtualization process The cosine of cos(θ _etilt ). When TXRU virtualization uses DFT precoding, the phase difference θ of adjacent antenna particles is obtained through w. and calculate or

Finally, get

In this embodiment, for the virtualization model of the second transceiver unit, the following method can be used to obtain W _P :

Obtain vertical channel information H _V according to the channel information H; and obtain an intermediate matrix by decomposing and calculating according to the H _V and W _TXRU , and obtain W _P according to the first V _port column of the intermediate matrix.

Specifically, in Time Division Duplex (TDD, Time Division Duplex) mode, the channel information is known at the base station (Where _NR is the number of receiving antennas of the user equipment) and TXRU virtualization model weighted W _TXRU (or W),

First, the channel information in the vertical direction must be obtained.

Among them, H can be decomposed by Kronecker integral, According to the different dimensions of the decomposed matrix, there are many different approximate decomposition methods, such as

${\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; \&Element;</span>{\mathrm{<span\; class="notranslate">\; C</span>}}^{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; NP</span>}}<span\; class="notranslate">\; ,</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}<span\; class="notranslate">\; \&Element;</span>{\mathrm{<span\; class="notranslate">\; C</span>}}^{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; R</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; m</span>}}<span\; class="notranslate">\; .</span>$

can also be Each row channel of is subjected to Kronecker integral decomposition, decomposed into 1×NP-dimensional horizontal channels and vertical channels of 1×M dimension and then

${\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; [</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}^{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ;</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; \&CenterDot;</span><span\; class="notranslate">\; ;</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; V</span>}}^{{\mathrm{<span\; class="notranslate">\; N</span>}}_{\mathrm{<span\; class="notranslate">\; R</span>}}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; .</span>$

It is also possible to directly use 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 as H _V .

In addition, H _V may also be a statistical value or average value of channel information in the vertical direction.

Then, to calculate H _V W, W _P can be obtained by the following decomposition: For example,

Singular value (SVD) decomposition is performed on H _V W to obtain H _V W = USV ^H , and W _P is the front V _port column of the V matrix; or

Orthogonal triangular (QR) decomposition is performed on (H _V W) ^H to obtain (H _V W) ^H = QR, and W _P is the first V _port column of the Q matrix.

In this embodiment, for the third TXRU virtualization model, the following method can be used to obtain W _P :

For each group in the L group, obtain the channel information H _V in the vertical direction according to the channel information H, and decompose and calculate according to the H _V and W _TXRU to obtain an intermediate matrix, and obtain the intermediate matrix according to the first V _port column of the intermediate matrix Group weighting matrix W′ _P ;

From this we get

In this embodiment, for the fourth TXRU virtualization model, the following method can be used to obtain W _P :

Select V _port transceiver units as V _port logical antenna ports; that is

It can be seen from the above embodiments that the TXRU virtualization model is selected according to the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; thus, the TXRU virtualization model can be adaptively selected . In addition, the TXRU virtualization weighting matrix W _TXRU and the antenna port virtualization matrix W _P can be obtained, which can be better applied to massive MIMO systems.

Example 2

An embodiment of the present invention provides a device for selecting a virtualized model of an antenna array, which is configured in a base station with an antenna array. This 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 content will not be repeated here.

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

The information determining unit 1101 is configured to determine user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same polarization direction in the vertical direction;

The model selection unit 1102 selects a virtualization model of the transceiver unit 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 vertical direction.

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

The model selection unit 1102 can be specifically configured to: select and adopt the first transceiver unit virtualization model when V _port is 1 and perform single-user MIMO; when performing multi-user MIMO, or V _port is equal to M _TXRU , select to adopt the second transceiver unit virtualization model; when V _port is not 1 and not equal to M _TXRU , select to adopt the third transceiver unit virtualization model or the first transceiver unit virtualization model;

Wherein, the M _TXRU is the number of transceiver units connected to M antenna particles in the same polarization direction in each column in the vertical direction; in the first transceiver unit virtualization model, each transceiver unit is connected to K antenna particles, and K= M/M _TXRU ; in the second transceiver unit virtualization model, each transceiver unit is connected to M antenna particles; in the third transceiver unit virtualization model, M _TXRU transceiver units and M antenna particles are Divided into L groups, the antenna particles in each group are fully connected with the transceiver unit.

FIG. 12 is another schematic diagram of a virtualization model selection device according to an embodiment of the present invention. As shown in FIG. 12 , the virtualization model selection device 1200 includes: an information determination unit 1101 and a model selection unit 1102 , as described above.

As shown in Figure 12, the virtualization model selection device 1200 may also include:

The type determination unit 1201 is configured to determine a channel and/or signal type; and the model selection unit 1101 may also be configured to select the virtualization model of the transceiver unit according to the channel and/or signal type.

Wherein, the channel and/or signal type may include: public channel/signal and/or non-public channel/signal; the model selection unit 1101 is also used for: when the channel and/or signal type is a public channel/signal In the case of , choose to adopt the fourth transceiver unit virtualization model; wherein, in the fourth transceiver unit virtualization model, the weighting matrix supports unit vectors in which only one element in each column is 1 and the other elements are 0.

As shown in Figure 12, the virtualization model selection device 1200 may also include:

The beam information receiving unit 1202 is configured to receive optimal beam information for the virtualization model of the transceiver unit sent by the user equipment; wherein, when the number of beam vectors of each virtualization model of the transceiver unit is different, the user equipment for each The virtualization model of the transceiver unit selects and feeds back the optimal beam information respectively; when the number of beam vectors of each virtualization model of the transceiver unit is the same, the user equipment selects the optimal beam information from the codebook with a length of M×1 Optimal beam information and feedback;

The first matrix determining unit 1203 selects one or more beamforming transceiving unit virtualization weighting matrices W _TXRU according to the optimal beam information for the transceiving unit virtualization model.

As shown in Figure 12, the virtualization model selection device 1200 may also include:

The second matrix determination unit 1204 determines the antenna port virtualization matrix W _P at least according to the virtual antenna port number V _port of the M antenna particles in the same polarization direction in the vertical direction and the virtualization weighting matrix W _TXRU of the transceiver unit .

Wherein, the second matrix determining unit 1204 can specifically be used for:

For the virtualization model of the first transceiver unit,

Calculate the number of transceiver units and the number of antenna particles corresponding to each logical antenna port through V _port ;

Obtain the electronic downtilt angle information in the vertical direction according to W _TXRU , and obtain the phase difference θ of adjacent antenna particles; and calculate or

From this we get

For the second transceiver unit virtualization model,

Obtain vertical channel information H _V according to the channel information H; and obtain an intermediate matrix by decomposing and calculating according to the H _V and W _TXRU , and obtain W _P according to the first V _port column of the intermediate matrix.

For the virtualization model of the third transceiver unit,

For each group in the L group, obtain the channel information H _V in the vertical direction according to the channel information H, and decompose and calculate according to the H _V and W _TXRU to obtain an intermediate matrix, and obtain the intermediate matrix according to the first V _port column of the intermediate matrix Group weighting matrix W′ _P ;

From this we get

For the virtualization model of the fourth transceiver unit,

Select V _port transceiver units as V _port logical antenna ports; that is

It can be seen from the above embodiments that the TXRU virtualization model is selected according to the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; thus, the TXRU virtualization model can be adaptively selected . In addition, the TXRU virtualization weighting matrix W _TXRU and the antenna port virtualization matrix W _P can be obtained, which can be better applied to massive MIMO systems.

Example 3

An embodiment of the present invention also provides a communication system, and the same content as in Embodiments 1 and 2 will not be repeated here. FIG. 13 is a schematic diagram of a communication system according to an embodiment of the present invention. As shown in FIG. 13 , the communication system 1300 includes: a base station 1301 and a user equipment 1302;

Wherein, the base station 1301 determines the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; and the multiple antennas in the same vertical direction according to the user scheduling type information and the vertical direction The number of antenna ports virtualized by the particle, select the virtualization model of the transceiver unit.

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

Fig. 14 is a schematic structural diagram of a base station according to an embodiment of the present invention. As shown in FIG. 14 , a base station 1400 may include: a central processing unit (CPU) 200 and a memory 210 ; the memory 210 is coupled to the central processing unit 200 . Among them, the memory 210 can store various data; in addition, it also stores information processing programs, and executes the programs under the control of the central processing unit 200 .

Wherein, the base station 1400 may implement the method for selecting a virtualization model as described in Embodiment 1. The central processing unit 200 may be configured to implement the functions of the virtualization model selection apparatus 1100 or 1200; that is, the central processing unit 200 may be configured to perform the following control: determine user scheduling type information and multiple antennas in the same polarization direction in the vertical direction The number of antenna ports virtualized by the particle; and the virtualization model of the transceiver unit is selected according to the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction in the same polarization direction.

In addition, as shown in FIG. 14 , the base station 1400 may further include: a transceiver 220 and an antenna 230 , etc.; where the functions of the above components are similar to those of the prior art, and will not be repeated here. It should be noted that the base station 1400 does not necessarily include all components shown in FIG. 14 ; in addition, the base station 1400 may also include components not shown in FIG. 14 , and reference may be made to the prior art.

An embodiment of the present invention further provides a computer-readable program, wherein 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.

An embodiment of the present invention also provides a storage medium storing a computer-readable program, wherein 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 by combining hardware and software. The present invention relates to such a computer-readable program that, when the program is executed by a logic component, enables the logic component to realize the above-mentioned device or constituent component, or enables the logic component to realize the above-mentioned various methods or steps. The present invention also relates to a storage medium for storing the above program, such as hard disk, magnetic disk, optical disk, DVD, flash memory and the like.

The present invention has been described above in conjunction with specific embodiments, but those skilled in the art should be clear that these descriptions are exemplary and not limiting the protection scope of the present invention. Those skilled in the art can make various variations and modifications to the present invention according to the spirit and principle of the present invention, and these variations and modifications are also within the scope of the present invention.

Regarding the implementation manner comprising the above embodiments, the following additional notes are also disclosed:

(Supplementary Note 1) A virtualized model selection device of an antenna array, said selection device comprising:

An information determination unit, which determines user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same polarization direction in the vertical direction;

The model selection unit selects a virtualization model of the transceiver unit 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 vertical direction.

(Supplement 2) The selection device according to Supplement 1, wherein the user scheduling type information includes: single-user MIMO and/or multi-user MIMO; M antenna particle virtual The number of antenna ports is V _port ;

The model selection unit is used to: select to adopt the first transceiver unit virtualization model when V _port is 1 and perform single-user MIMO; select to adopt the first transceiver unit virtualization model when performing multi-user MIMO, or V _port is equal to M _TXRU The second transceiver unit virtualization model; when the V _port is not 1 and is not equal to _MTXRU , select the third transceiver unit virtualization model or the first transceiver unit virtualization model;

Wherein, M _TXRU is the number of transceiver units connected to M antenna particles in the same polarization direction in each column in the vertical direction; in the first transceiver unit virtualization model, each transceiver unit is connected to K antenna particles, K=M/ M _TXRU ; in the second transceiver unit virtualization model, each transceiver unit is connected to M antenna particles; in the third transceiver unit virtualization model, M _TXRU transceiver units and M antenna particles are divided into In group L, the antenna particles in each group are fully connected to the transceiver unit.

(Supplementary Note 3) The selection device according to Supplementary Note 1, wherein the selection device further includes:

a type determining unit, which determines the channel and/or signal type;

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

(Supplementary Note 4) The selection device according to Supplementary Note 3, wherein the channel and/or signal type includes: common channel/signal and/or non-common channel/signal;

The model selection unit is also used to: select and adopt the fourth transceiver unit virtualization model when the channel and/or signal type is a common channel/signal; wherein, in the fourth transceiver unit virtualization model, Weighting matrices support unit vectors with only one element in each column being 1 and the others being 0.

(Supplement 5) The selection device according to Supplement 1, wherein the selection device further includes:

The beam information receiving unit receives the optimal beam information for the virtualization model of the transceiver unit sent by the user equipment; wherein, in the case that the number of beam vectors of each virtualization model of the transceiver unit is different, the user equipment for each transceiver unit The unit virtualization model respectively selects the optimal beam information and feeds it back; when the number of beam vectors of each transceiver unit virtualization model is the same, the user equipment selects the optimal beam information from the codebook with a length of M×1 Optimal beam information and feedback;

The first matrix determination unit is configured to select one or more beamforming transceiving unit virtualization weighting matrices W _TXRU according to the optimal beam information for the transceiving unit virtualization model.

(Supplementary Note 6) The selection device according to Supplementary Note 5, wherein the selection device further includes:

The second matrix determination unit determines the antenna port virtualization matrix W _P at least according to the virtual antenna port number V _port of the M antenna particles in the same vertical direction and the virtualization weighting matrix W _TXRU of the transceiver unit.

(Supplement 7) The selection device according to Supplement 6, wherein the second matrix determination unit is used for:

For the virtualization model of the first transceiver unit,

Calculate the number of transceiver units and the number of antenna particles corresponding to each logical antenna port through V _port ;

Obtain the electronic downtilt angle information in the vertical direction according to W _TXRU , and obtain the phase difference θ of adjacent antenna particles; and calculate or

From this we get

(Supplementary Note 8) The selection device according to Supplementary Note 6, wherein the second matrix determination unit is used for:

For the second transceiver unit virtualization model,

Acquiring channel information H _V in the vertical direction according to channel information H; and decomposing and calculating according to H _V and W _TXRU to obtain an intermediate matrix, and obtaining W _P according to the first V _port column of the intermediate matrix.

(Supplement 9) The selection device according to Supplement 6, wherein the second matrix determination unit is used for:

For the virtualization model of the third transceiver unit,

For each group in the L group, obtain the channel information H _V in the vertical direction according to the channel information H, and decompose and calculate according to H _V and W _TXRU to obtain an intermediate matrix, and obtain the group's V port according to the first V _port column of the intermediate matrix weighting matrix W′ _P ;

From this we get

(Supplementary Note 10) The selection device according to Supplementary Note 6, wherein the second matrix determination unit is configured to:

For the virtualization model of the fourth transceiver unit,

Select V _port transceiver units as V _port logical antenna ports; that is

(Supplementary Note 11) A method for selecting a virtualized model of an antenna array, the selection method comprising:

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

A virtualization model of the transceiver unit 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 vertical direction.

(Supplementary Note 12) The selection method according to Supplementary Note 11, wherein the user scheduling type information includes: single-user MIMO and/or multi-user MIMO; M antenna particle virtual The number of antenna ports is V _port ;

In the case that V _port is 1 and single-user MIMO is performed, choose to adopt the virtualization model of the first transceiver unit;

In the case of performing multi-user MIMO, or when V _port is equal to M _TXRU , choose to adopt the second transceiver unit virtualization model;

In the case that V _port is not 1 and not equal to M _TXRU , choose to adopt the third transceiver unit virtualization model or the first transceiver unit virtualization model;

Wherein, M _TXRU is the number of transceiver units connected to M antenna particles in the same polarization direction in each column in the vertical direction; in the first transceiver unit virtualization model, each transceiver unit is connected to K antenna particles, K=M/ M _TXRU ; in the second transceiver unit virtualization model, each transceiver unit is connected to M antenna particles; in the third transceiver unit virtualization model, M _TXRU transceiver units and M antenna particles are divided into In group L, the antenna particles in each group are fully connected to the transceiver unit.

(Supplementary Note 13) The selection method according to Supplementary Note 11, wherein the selection method further includes:

determine the channel and/or signal type; and

Selecting the virtualization model of the transceiver unit 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 channel/signal and/or non-common channel/signal;

In the case where the channel and/or signal type is a common channel/signal, choose to adopt the fourth transceiver unit virtualization model; wherein, in the fourth transceiver unit virtualization model, the weighting matrix supports only one element in each column A unit vector with 1s and 0s for the other elements.

(Supplementary Note 15) The selection method according to Supplementary Note 11, wherein the selection method further includes:

receiving optimal beam information for the virtualization model of the transceiver unit sent by the user equipment; and

For the virtualization model of the transceiver unit, select one or more beamforming transceiver unit virtualization weighting matrices W _TXRU according to the optimal beam information;

Wherein, when the number of beam vectors of each transceiver unit virtualization model is different, the user equipment respectively selects the optimal beam information for each transceiver unit virtualization model and feeds back; When the number of vectors is the same, the user equipment selects the optimal beam information from a codebook with a length of M×1 and feeds it back.

(Supplementary Note 16) The selection method according to Supplementary Note 15, wherein the selection method further includes:

An antenna port virtualization matrix W _P is determined at least according to the number of virtual antenna ports V _port of the M antenna particles in the same polarization direction in the vertical direction and the virtualization weighting matrix W _TXRU of the transceiver unit.

(Supplementary Note 17) The selection method according to Supplementary Note 16, wherein, for the virtualization model of the first transceiver unit,

Calculate the number of transceiver units and the number of antenna particles corresponding to each logical antenna port through V _port ;

Obtain the electronic downtilt angle information in the vertical direction according to W _TXRU , and obtain the phase difference θ of adjacent antenna particles; and calculate or

From this we get

(Supplementary Note 18) The selection method according to Supplementary Note 16, wherein, for the second transceiver unit virtualization model,

Acquiring channel information H _V in the vertical direction according to channel information H; and decomposing and calculating according to H _V and W _TXRU to obtain an intermediate matrix, and obtaining W _P according to the first V _port column of the intermediate matrix.

(Supplementary Note 19) The selection method according to Supplementary Note 16, wherein, for the third transceiver unit virtualization model,

For each group in the L group, obtain the channel information H _V in the vertical direction according to the channel information H, and decompose and calculate according to H _V and W _TXRU to obtain an intermediate matrix, and obtain the group's V port according to the first V _port column of the intermediate matrix weighting matrix W′ _P ;

From this we get

(Supplementary Note 20) The selection method according to Supplementary Note 16, wherein, for the fourth transceiver unit virtualization model,

Select V _port transceiver units as V _port logical antenna ports; that is

(Additional note 21) A communication system, the communication system comprising:

The base station determines the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; For the number of antenna ports, select the virtualization model of the transceiver unit.

Claims (10)

1. A virtualized model selection device of antenna array, said selection device comprising: An information determination unit, which determines user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same polarization direction in the vertical direction; The model selection unit selects a virtualization model of the transceiver unit 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 vertical direction. 2. The selection device according to claim 1, wherein the user scheduling type information includes: single-user MIMO and/or multi-user MIMO; virtual antenna ports of M antenna particles in the same polarization direction in the vertical direction The number is V _port ; The model selection unit is used to: select to adopt the first transceiver unit virtualization model when V _port is 1 and perform single-user MIMO; select to adopt the first transceiver unit virtualization model when performing multi-user MIMO, or V _port is equal to M _TXRU The second transceiver unit virtualization model; when the V _port is not 1 and is not equal to _MTXRU , select the third transceiver unit virtualization model or the first transceiver unit virtualization model; Wherein, M _TXRU is the number of transceiver units connected to M antenna particles in the same polarization direction in each column in the vertical direction; in the first transceiver unit virtualization model, each transceiver unit is connected to K antenna particles, K=M/ M _TXRU ; in the second transceiver unit virtualization model, each transceiver unit is connected to M antenna particles; in the third transceiver unit virtualization model, M _TXRU transceiver units and M antenna particles are divided into In group L, the antenna particles in each group are fully connected to the transceiver unit. 3. The selection device according to claim 1, wherein the selection device further comprises: a type determining unit, which determines the channel and/or signal type; The model selection unit is further configured to select the virtualization model of the transceiver unit according to the channel and/or signal type. 4. The selection device according to claim 3, wherein the channel and/or signal type comprises: a common channel/signal and/or a non-common channel/signal; The model selection unit is also used to: select and adopt the fourth transceiver unit virtualization model when the channel and/or signal type is a common channel/signal; wherein, in the fourth transceiver unit virtualization model, The weighting matrix is a unit vector with only one element in each column being 1 and the other elements being 0. 5. The selection device according to claim 1, wherein the selection device further comprises: The beam information receiving unit receives the optimal beam information for the virtualization model of the transceiver unit sent by the user equipment; wherein, in the case that the number of beam vectors of each virtualization model of the transceiver unit is different, the user equipment for each transceiver unit The unit virtualization model respectively selects the optimal beam information and feeds it back; when the number of beam vectors of each transceiver unit virtualization model is the same, the user equipment selects the optimal beam information from the codebook with a length of M×1 Optimal beam information and feedback; The first matrix determination unit selects one or more beams according to the optimal beam information and determines a virtualization weight matrix W _TXRU of the transceiver unit for the virtualization model of the transceiver unit. 6. The selection device according to claim 5, wherein the selection device further comprises: The second matrix determination unit determines the antenna port virtualization matrix W _P at least according to the virtual antenna port number V _port of the M antenna particles in the same vertical direction and the virtualization weighting matrix W _TXRU of the transceiver unit. 7. The selection device according to claim 6, wherein the second matrix determination unit is configured to: For the virtualization model of the first transceiver unit, Calculate the number of transceiver units and the number of antenna particles corresponding to each logical antenna port through V _port ; and obtain the electronic downtilt angle information in the vertical direction according to W _TXRU , and obtain the phase difference θ of adjacent antenna particles; and calculate or From this we get For the second transceiver unit virtualization model, Acquiring channel information H _V in the vertical direction according to the channel information H; and performing decomposition and calculation according to the H _V and W _TXRU to obtain an intermediate matrix, and obtaining W _P according to the front V _port column of the intermediate matrix; For the virtualization model of the third transceiver unit, For each group in the L group, obtain the channel information H _V in the vertical direction according to the channel information H, and decompose and calculate according to the H _V and W _TXRU to obtain an intermediate matrix, and obtain the intermediate matrix according to the first V _port column of the intermediate matrix Group weighting matrix W _P '; From this we get For the virtualization model of the fourth transceiver unit, Select V _port transceiver units as V _port logical antenna ports; ie ${\mathrm{<span\; class="notranslate">\; W</span>}}_{\mathrm{<span\; class="notranslate">\; P</span>}}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; e</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span>{\mathrm{<span\; class="notranslate">\; e</span>}}_{{\mathrm{<span\; class="notranslate">\; p</span>}}_{\mathrm{<span\; class="notranslate">\; Vport</span>}}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; .</span>$ 8. A virtualization model selection method of antenna array, said selection method comprising: The base station determines user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same polarization direction in the vertical direction; and A virtualization model of the transceiver unit 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 vertical direction. 9. The selection method according to claim 8, wherein the selection method further comprises: determine the channel and/or signal type; and Selecting the virtualization model of the transceiver unit according to the channel and/or signal type. 10. A communication system, the communication system comprising: The base station determines the user scheduling type information and the number of virtual antenna ports of multiple antenna particles in the same vertical direction; For the number of antenna ports, select the virtualization model of the transceiver unit.