WO2019154326A1

WO2019154326A1 - Method, apparatus and device for determining beamforming weight

Info

Publication number: WO2019154326A1
Application number: PCT/CN2019/074416
Authority: WO
Inventors: 艾星星
Original assignee: 中兴通讯股份有限公司
Priority date: 2018-02-11
Filing date: 2019-02-01
Publication date: 2019-08-15
Also published as: CN110149129B; CN110149129A

Abstract

Provided by the present disclosure is a method for determining beamforming weight, comprising: obtaining a beamforming weight corresponding to UE according to channel information of the UE; weighing a first CSI-RS sent to the UE according to the beamforming weight to obtain a beamforming weight of the first CSI-RS; sending a second CSI-RS to the UE, wherein the second CSI-RS is obtained according to the beamforming weight of the first CSI-RS; receiving a pre-coding matrix indicator (PMI) fed back by the UE according to the second CSI-RS; and determining, according to the beamforming weight of the first CSI-RS and the PMI, a beamforming weight of downlink service data of the UE. Further disclosed by the present disclosure is an apparatus and device for determining beamforming weight.

Description

Method, device and device for determining beam shaping weight

Technical field

The present disclosure relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, and a device for determining a beamforming weight.

Background technique

Multi-antenna technology is a major breakthrough in the field of wireless communications, also known as Multiple-Input Multiple-Output (MIMO) technology, which can improve the capacity and spectrum utilization of communication systems without increasing bandwidth. At the same time, improving the reliability of the channel and reducing the bit error rate without increasing the transmission power of the whole system is a key technology that must be adopted in the new generation of mobile communication systems.

MIMO technology uses multi-antenna transmission and reception at both the transmitting end and the receiving end. MIMO technology is mainly divided into diversity technology and multiplexing technology. The diversity technique uses multiple copies of the signal to experience different fading to the receiving end, and the probability that all copies are simultaneously in deep fading is low, thereby increasing the reliability of the system. The multiplexing technique utilizes the degree of freedom of the channel to transmit different signals, thereby increasing channel capacity and improving system performance. The multiplexing technology can be divided into single-user MIMO (SU-MIMO) technology and multi-user MIMO (MU-MIMO) technology, and SU-MIMO refers to single-user transmission. Multi-stream data, while MU-MIMO refers to the simultaneous transmission of multi-stream signals by different antennas between different users. Corresponding to this is precoding technology, which includes closed-loop precoding and open-loop precoding techniques. The closed-loop precoding technology requires the transmitting end and the receiving end to agree on the codebook in advance, and then the transmitting end sends the measurement signal, and the receiving end feeds back to the corresponding index of the transmitting end. The open-loop precoding technology does not require feedback information from the receiving end, and the transmitting end uses the characteristics of the channel to construct a precoding weight for the data stream.

The majority of the antennas of the user equipment (User Equipment, UE) are configured as: uplink single-antenna transmission and downlink two-antenna reception, that is, the number of antennas in the uplink and downlink configuration is unbalanced, resulting in a poor implementation of the SU-MIMO and MU-MIMO joint transmission scheme. . Specifically, if the closed-loop precoding technology is used, the base station can only use the broadcast weighted pilot signal in advance, and then the UE selects a corresponding codebook to feed back to the base station based on the pilot. The base station is based on the codebook. The weighting of the data service is performed, but the same time-frequency resource cannot be shared between multiple UEs, that is, the space division strategy cannot be adopted; if the open-loop pre-coding scheme is adopted, the base station can only acquire the UE main set antenna (ie, The channel state of the antenna port used for uplink transmission, so that each UE can only perform single-stream shaping, thereby failing to implement SU-MIMO. Therefore, joint transmission of SU-MIMO and MU-MIMO cannot be achieved.

Summary of the invention

Embodiments of the present disclosure are directed to a method, apparatus, and apparatus for determining beamforming weights for joint transmission of SU-MIMO and MU-MIMO.

The present disclosure provides a method for determining a beamforming weight, which includes: obtaining, according to channel information of a user equipment UE, a beamforming weight corresponding to the UE; and transmitting, according to the beamforming weight, to the UE a first channel state information-reference signal (CSI-RS) is weighted to obtain a beamforming weight of the first CSI-RS; and a second CSI-RS is sent to the UE, where Obtaining, according to the beamforming weight of the first CSI-RS, the second CSI-RS; receiving a precoding matrix indicator PMI that is sent by the UE according to the second CSI-RS; and according to the first CSI a beamforming weight of the RS and the PMI determining a beamforming weight of the downlink traffic data of the UE.

The present disclosure further provides an apparatus for determining a beamforming weight, comprising: a first processing module, configured to obtain a beamforming weight corresponding to the UE according to channel information of the user equipment UE; and a second processing module, configured to And weighting the first CSI-RS sent to the UE according to the beamforming weight to obtain a beamforming weight of the first CSI-RS; and sending, by the sending module, sending a second to the UE a CSI-RS, wherein the second CSI-RS is obtained according to the beamforming weight of the first CSI-RS; and the receiving module is configured to receive the precoding of the UE according to the second CSI-RS feedback a matrix indicator PMI; and a third processing module, configured to determine a beamforming weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI.

The present disclosure also provides an apparatus for determining a beamforming weight, comprising an interface, a bus, a memory, and a processor, the interface, the memory and the processor being connected by the bus, the memory for storing an executable program, The processor is configured to run the executable program to obtain a beamforming weight corresponding to the UE according to channel information of the user equipment UE, and to the UE according to the beam shaping weight Sending a first CSI-RS weighting to obtain a beamforming weight of the first CSI-RS; transmitting a second CSI-RS to the UE, where a beamforming according to the first CSI-RS And obtaining a second CSI-RS according to the weight; receiving a precoding matrix indicator PMI that is sent by the UE according to the second CSI-RS; and a beamforming weight according to the first CSI-RS and the PMI Determining a beamforming weight of the downlink service data of the UE.

The present disclosure also provides a computer readable storage medium having stored thereon a computer program executed by a processor to implement a method of determining beamforming weights in accordance with the present disclosure.

DRAWINGS

1 is a flow chart of a method of determining beamforming weights in accordance with an embodiment of the present disclosure;

2 is a flow chart of a method of determining beamforming weights in accordance with an embodiment of the present disclosure;

3 is a schematic diagram of a method of determining beamforming weights in accordance with an embodiment of the present disclosure;

4 is a schematic structural diagram of an apparatus for determining a beamforming weight according to an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of an apparatus for determining a beamforming weight according to an embodiment of the present disclosure.

Detailed ways

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure.

1 is a flow chart of a method of determining beamforming weights in accordance with an embodiment of the present disclosure.

As shown in FIG. 1, a method of determining a beamforming weight according to an embodiment of the present disclosure may be applied to a device that determines a beamforming weight, and the method may include steps 101 to 105.

In step 101, the beam shaping weight corresponding to the UE is obtained according to the channel information of the UE.

The uplink and downlink reciprocity principle with the UE may be utilized to obtain a beamforming weight corresponding to the UE based on the uplink measurement signal. If there are multiple UEs, a set of beamforming weights is constructed, and each UE corresponds to one beam in the beam group, and for each UE, it naturally matches one of the beams, and only receives itself. The power transmitted by the beam, independent of other beam power.

In step 102, the first CSI-RS sent to the UE is weighted according to the beamforming weight to obtain a beamforming weight of the first CSI-RS.

The first CSI-RS sent to the UE may be weighted according to the beamforming weight to obtain a beamforming weight of the first CSI-RS. If there are multiple UEs, the first CSI-RSs sent to the respective UEs may be weighted according to the beamforming weights corresponding to the respective UEs to obtain the beamforming weights of the first CSI-RSs corresponding to the respective UEs.

In step 103, the second CSI-RS is sent to the UE, where the second CSI-RS is obtained according to the beamforming weight of the first CSI-RS.

The second CSI-RS may be obtained according to the beamforming weight of the first CSI-RS, and then the second CSI-RS is sent to the UE, that is, the second CSI-RS sent to the UE may be according to the first CSI-RS. The new CSI-RS obtained after the beamforming weight adjustment. If there are multiple UEs, the second CSI-RSs corresponding to the respective UEs may be obtained according to the beamforming weights of the first CSI-RSs corresponding to the respective UEs, and the obtained second CSI-RSs may be sent to the respective UEs.

At step 104, the PMI of the UE according to the second CSI-RS feedback is received.

The PMI fed back by the UE may be received, wherein the UE feeds back the PMI according to the second CSI-RS. If there are multiple UEs, the PMIs fed back by the respective UEs may be received to obtain the PMIs corresponding to the respective UEs.

At step 105, a beam shaping weight of the downlink service data of the UE is determined according to a beamforming weight of the first CSI-RS and a PMI.

The beam shaping weight of the downlink service data of the UE may be determined according to the beamforming weight of the first CSI-RS and the PMI. If there are multiple UEs, the beamforming weights of the downlink service data of the respective UEs may be determined according to the beamforming weights of the CSI-RSs of the respective UEs and the PMI.

According to the method for determining beamforming weights provided by the embodiments of the present disclosure, for a wide beam broadcast weighted closed loop feedback scheme, the solution of the present disclosure combines an open loop precoding technique and a closed loop precoding technique, and adopts the narrow beam of the scheme of the present disclosure. The shaping weight can have the effect of shaping gain, improve the capacity of single users, make the user perceive better, and realize MU-MIMO, ie SU-MIMO and MU-MIMO, simultaneously on the basis of SU-MIMO. The joint transmission, the spectrum utilization is higher, and the system capacity is increased by N times (N is the number of space-division UEs).

2 is a flow chart of a method of determining beamforming weights in accordance with an embodiment of the present disclosure, and FIG. 3 is a schematic diagram of a method of determining beamforming weights in accordance with an embodiment of the present disclosure.

In an example of the present disclosure, the apparatus for determining the beamforming weight may be a base station, the base station adopts an array antenna number of M, and the uplink reference signal between the base station and the UE is a sounding reference signal (Sounding Reference Signal) (SRS), the downlink reference signal is a CSI-RS, the channel of the downlink service data is a Physical Downlink Shared Channel (PDSCH), and the number of ports of the CSI-RS is 2 (the same applies to the number of other ports).

As shown in FIGS. 2 and 3, the method may include the following steps 201 to 209.

In step 201, the SRS sent by the UE is received.

The base station receives the SRS transmitted by each UE main set.

At step 202, channel information of the UE is obtained according to the SRS.

The base station can estimate the channel information of each UE according to the SRS. After the channel information is obtained, step 203 or step 204 can be performed. The embodiments of the present disclosure provide two types of beamforming weights. The purpose is to construct a narrow beam with directivity for each UE in combination with uplink channel measurement. Other narrow beam construction methods are also applicable, and have two functions: One is to use multiple beams to naturally split multiple UEs; the other is to have a shaping gain relative to a wide beam.

In addition, the base station can use the uplink and downlink reciprocity principle to obtain a beamforming weight corresponding to each UE based on the uplink measurement signal, and each UE corresponds to one beam in the beam group, and for each UE, naturally A beam is matched and only receives power from its own beam, independent of other beam power.

In step 203, the beam shaping weight corresponding to the UE is calculated according to the formula w=H ^H (HH ^H ) ⁻¹ .

The base station can calculate the beam shaping weight corresponding to each UE according to the formula w=H ^H (HH ^H ) ^-1 , and then perform step 205, where w is the beam shaping weight corresponding to each UE, and H is Channel information for each UE.

In step 204, the steering vector of the UE is calculated according to the channel information of the UE, and the beam shaping weight corresponding to the UE is calculated according to the formula w=h ^H (hh ^H ) ⁻¹ .

The base station may first calculate a steering vector of each UE according to the channel information of each UE, and then calculate a beam shaping weight corresponding to each UE according to the formula w=h ^H (hh ^H ) ^-1 , and then perform step 205. Where w is the beamforming weight corresponding to each UE, h is the steering vector of each UE, and H is the channel information of each UE.

In step 205, the first CSI-RS sent to the UE is weighted according to the beamforming weight to obtain the beamforming weight of the first CSI-RS.

The base station may weight the first CSI-RS sent to each UE according to the beamforming weight to obtain a beamforming weight of the first CSI-RS.

For example, if the port mapping of the CSI-RS is mapped to port 15 to M/2 odd-numbered antennas, and port 16 is mapped to M/2 even-numbered antennas, the odd-numbered dimensions of the beam-forming weights corresponding to each UE are taken. The port is weighted, and the even-numbered dimension of the beam-forming weight corresponding to each UE is weighted to the port 16, and finally the beam-forming weight of the first CSI-RS for each UE is obtained.

In step 206, the second CSI-RS is sent to the UE, where the second CSI-RS is obtained according to the beamforming weight of the first CSI-RS.

The base station may transmit a second CSI-RS to each UE, wherein for each UE, the second CSI-RS is obtained according to a beamforming weight of the first CSI-RS.

For example, all weighted first CSI-RSs are mapped to M physical antennas by parity, and all UEs are cumulatively mapped on each antenna to obtain a second CSI-RS, and then the base station sends a second CSI to all UEs. -RS.

At step 207, the PMI that the UE feeds back according to the second CSI-RS is received.

The base station may receive the PMI fed back by each UE, where each UE feeds back the respective PMI to the base station according to the second CSI-RS corresponding to the respective UE.

At step 208, a beamforming weight of the downlink service data of the UE is determined according to a beamforming weight of the first CSI-RS and a PMI.

Base station can be based on formula

Calculating a beamforming weight of the downlink service data of each UE, where w _PDSCH is a beam shaping weight of downlink service data of each UE, and M is an array antenna number,

Indicates that the dimension is

The column vector, PMI _i represents the PMI column vector of the ith stream feedback, kron represents the Kronecker product of the column vector, and .* represents the multiplication symbol of the elements in the matrix.

In step 209, the beamforming weights of the downlink service data are pre-coded by the weights to obtain the beamforming weights of the processed downlink service data, and the beamforming weights of the processed downlink service data are obtained. Map onto the antenna.

The base station may weight the beamforming weights of the downlink service data by weight precoding to obtain the beamforming weights of the processed downlink service data, and then map the beam shaping weights of the processed downlink service data to On the antenna.

For example, the base station may weight the downlink PDSCH of each UE with the corresponding beamforming weight and precoding, and then map to the antenna, and the mapping manner may accumulate the precoded data of all UEs and then map to the M antennas. .

4 is a schematic structural diagram of an apparatus for determining a beamforming weight according to an embodiment of the present disclosure.

As shown in FIG. 4, the apparatus 04 for determining a beamforming weight according to an embodiment of the present disclosure includes a first processing module 41, a second processing module 42, a transmitting module 43, a receiving module 44, and a third processing module 45.

The first processing module 41 is configured to obtain a beam shaping weight corresponding to the UE according to channel information of the user equipment UE.

The second processing module 42 is configured to weight the first CSI-RS sent to the UE according to the beam shaping weight to obtain a beamforming weight of the first CSI-RS.

The sending module 43 is configured to send a second CSI-RS to the UE, where the second CSI-RS is obtained according to a beam shaping weight of the first CSI-RS.

The receiving module 44 is configured to receive a precoding matrix indicator PMI that the UE feeds back according to the second CSI-RS.

The third processing module 45 is configured to determine a beam shaping weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI.

The receiving module 44 may be further configured to receive the sounding reference signal SRS sent by the UE, and the first processing module 41 may further be configured to obtain channel information of the UE according to the SRS.

As shown in FIG. 4, the device 04 may further include a fourth processing module 46, configured to: perform weight pre-coding weighting of the beamforming weights of the downlink service data to obtain a beam assignment of the processed downlink service data. a type weight; and mapping the beamforming weight of the processed downlink traffic data to the antenna.

The first processing module 41 may be configured to calculate a beamforming weight corresponding to the UE according to the formula w=H ^H (HH ^H ) ⁻¹ , where w is a beam shaping weight corresponding to the UE, and H Is channel information of the UE.

The first processing module 41 may be configured to calculate a steering vector of the UE according to the channel information of the UE, and calculate a beam shaping weight corresponding to the UE according to the formula w=h ^H (hh ^H ) ⁻¹ , Where w is a beamforming weight corresponding to the UE, h is a steering vector of the UE, and H is channel information of the UE.

The third processing module 45 can be set according to a formula

Calculating a beamforming weight of the downlink service data of the UE, where the w _PDSCH is a beamforming weight of the downlink service data of the UE, where M is an array antenna number,

Indicates that the dimension is

As shown in FIG. 5, the device 05 for determining beamforming weights according to an embodiment of the present disclosure includes an interface 51, a bus 52, a memory 53, and a processor 54. The interface 51, the memory 53 and the processor 54 are connected by a bus 52 for storing an executable program, and the processor 54 is configured to execute the executable program to implement the step of: obtaining the above according to channel information of the user equipment UE a beam-forming weight corresponding to the UE; weighting the first CSI-RS sent to the UE according to the beam-forming weight to obtain a beam-forming weight of the first CSI-RS; Transmitting, by the UE, a second CSI-RS, where the second CSI-RS is obtained according to a beamforming weight of the first CSI-RS; and receiving a precoding matrix of the UE according to the second CSI-RS feedback And an indicator PMI; and determining a beam shaping weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI.

The processor 54 is further configured to execute the executable program to implement the steps of: receiving a sounding reference signal SRS transmitted by the UE; and obtaining channel information of the UE according to the SRS.

The processor 54 is further configured to run the executable program to implement the steps of: weighting the beamforming weights of the downlink traffic data with weight precoding to obtain beamforming rights of the processed downlink traffic data. a value; and mapping the beamforming weight of the processed downlink service data to the antenna.

The processor 54 is further configured to execute the executable program to implement the following steps: calculating a beamforming weight corresponding to the UE according to the formula w=H ^H (HH ^H ) ⁻¹ , where w is the UE Corresponding beam shaping weights, and H is channel information of the UE.

The processor 54 is further configured to execute the executable program to implement the steps of: calculating a steering vector of the UE according to channel information of the UE; and calculating the calculation according to the formula w=h ^H (hh ^H ) ⁻¹ A beam-forming weight corresponding to the UE, where w is a beam-forming weight corresponding to the UE, h is a steering vector of the UE, and H is channel information of the UE.

The processor 54 is also configured to execute the executable program to implement the following steps:

Indicates that the dimension is

The column vector, PMI _i represents the PMI column vector of the i-th stream feedback, kron represents the Kronecker product of the column vector, and .* represents the multiplication symbol of the elements in the matrix.

As shown in FIG. 5, the various components in device 05 that determine the beamforming weight are coupled together via bus 52. As can be appreciated, bus 52 is used to implement connection communication between these components. Bus 52 includes, in addition to the data bus, a power bus, a control bus, and a status signal bus, but for clarity of description, various buses are labeled as bus 52 in FIG.

The interface 51 can include a display, a keyboard, a mouse, a trackball, a click wheel, a button, a button, a touchpad, or a touch screen.

It will be appreciated that the memory 53 can be either volatile memory or non-volatile memory, as well as both volatile and non-volatile memory. The non-volatile memory may be a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), or an Erasable Programmable Read (EPROM). Only Memory), Electrically Erasable Programmable Read-Only Memory (EEPROM), Ferromagnetic Random Access Memory (FRAM), Flash Memory, Magnetic Surface Memory , CD-ROM, or Compact Disc Read-Only Memory (CD-ROM); the magnetic surface memory can be a disk storage or a tape storage. The volatile memory can be a random access memory (RAM) that acts as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access (SSRAM). DRAM (Dynamic Random Access Memory), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), enhancement Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory Bus Random Access Memory (DRRAM) The memory 53 described in the embodiments of the present disclosure is intended to include, but is not limited to, these and any other suitable types of memory.

The memory 53 in the embodiment of the present disclosure is used to store various types of data to support the operation of the device 05 that determines the beamforming weights, examples of which include: operating on the device 05 that determines the beamforming weights Any computer program, such as an operating system and an application, wherein the operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks; The program may include various applications, such as a Media Player, a browser, etc., for implementing various application services, and a program implementing the method of the embodiments of the present disclosure may be included in the application.

The method disclosed in the above embodiments of the present disclosure may be applied to the processor 54 or implemented by the processor 54. Processor 54 can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 54 or an instruction in the form of software. The processor 54 can be a general purpose processor, a digital signal processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, or the like. The processor 54 can implement or perform the various methods, steps, and logic blocks disclosed in the embodiments of the present disclosure. A general purpose processor can be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present disclosure may be directly implemented as a hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software module can reside in a storage medium located in memory 53, which reads the information in memory 53 and, in conjunction with its hardware, performs the steps of the foregoing method.

In an exemplary embodiment, the device 05 for determining the beamforming weight may be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), complex Programmable Logic Device (CPLD), Field-Programmable Gate Array (FPGA), general-purpose processor, controller, microcontroller (MCU, Micro Controller Unit), microprocessor ( Microprocessor), or other electronic component implementation, for performing the aforementioned methods.

The embodiment of the present disclosure further provides a computer readable storage medium, which may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM. It may be various devices including one or any combination of the above memories. The computer readable storage medium stores a computer program, which is executable by a processor, to implement the following steps: obtaining a beamforming weight corresponding to the UE according to channel information of the user equipment UE; The weighting value is used to weight the first CSI-RS sent to the UE to obtain a beamforming weight of the first CSI-RS; and send a second CSI-RS to the UE, where a beamforming weight of the first CSI-RS to obtain the second CSI-RS; a precoding matrix indicator PMI that is received by the UE according to the second CSI-RS; and according to the first CSI-RS The beamforming weight and the PMI determine a beamforming weight of the downlink traffic data of the UE.

The computer program may be further executed by the processor to: receive a sounding reference signal SRS sent by the UE; and obtain channel information of the UE according to the SRS.

The computer program may be further executed by the processor to implement the following steps: weighting the beamforming weights of the downlink service data by weight precoding to obtain beamforming rights of the processed downlink service data a value; and mapping the beamforming weight of the processed downlink service data to the antenna.

The computer program may be further executed by the processor to implement the following steps: calculating a beamforming weight corresponding to the UE according to the formula w=H ^H (HH ^H ) ⁻¹ , where w is the UE Corresponding beam shaping weights, and H is channel information of the UE.

The computer program may be further executed by the processor to: calculate a steering vector of the UE according to channel information of the UE; and calculate a calculation according to a formula w=h ^H (hh ^H ) ^-1 A beam-forming weight corresponding to the UE, where w is a beam-forming weight corresponding to the UE, h is a steering vector of the UE, and H is channel information of the UE.

The computer program can also be executed by the processor to implement the following steps: according to a formula

Indicates that the dimension is

Those skilled in the art will appreciate that embodiments of the present disclosure can be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or a combination of software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

The above are only the embodiments of the present disclosure, and are not intended to limit the scope of the disclosure.

Claims

A method for determining beamforming weights includes:

Obtaining, according to channel information of the user equipment UE, a beam shaping weight corresponding to the UE;

And weighting the first channel state information reference signal CSI-RS sent to the UE according to the beam shaping weight to obtain a beam shaping weight of the first CSI-RS;

Sending a second CSI-RS to the UE, where the second CSI-RS is obtained according to a beamforming weight of the first CSI-RS;

Receiving, by the UE, a precoding matrix indicator PMI according to the second CSI-RS feedback;

Determining a beamforming weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI.
The method according to claim 1, wherein before the step of obtaining the beamforming weight corresponding to the UE according to the channel information, the method further comprises:

Receiving a sounding reference signal SRS sent by the UE;

Obtaining channel information of the UE according to the SRS.
The method of claim 1, wherein after the step of determining a beamforming weight of the downlink service data of the UE, the method further comprises:

And beam-forming weights of the downlink service data are weighted by weight precoding to obtain beamforming weights of the processed downlink service data;

Mapping the beamforming weights of the processed downlink service data to the antenna.
The method of claim 1, wherein the step of obtaining a beamforming weight corresponding to the UE according to channel information of the user equipment UE comprises:

Calculating a beamforming weight corresponding to the UE according to the formula w=H H (HH H ) −1 ,

Where w is a beamforming weight corresponding to the UE, and H is channel information of the UE.
The method of claim 1, wherein the step of obtaining a beamforming weight corresponding to the UE according to channel information of the user equipment UE comprises:

Calculating a steering vector of the UE according to channel information of the UE;

Calculating a beamforming weight corresponding to the UE according to the formula w=h H (hh H ) −1 ,

Where w is a beamforming weight corresponding to the UE, h is a steering vector of the UE, and H is channel information of the UE.
The method according to claim 4 or 5, wherein the step of determining a beamforming weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI comprises: :

According to the formula
Calculating a beamforming weight of the downlink service data of the UE,

The w PDSCH is a beam shaping weight of the downlink service data of the UE, where M is an array antenna number.
Indicates that the dimension is
The column vector, PMI i represents the PMI column vector of the i-th stream feedback, kron represents the Kronecker product of the column vector, and .* represents the multiplication symbol of the elements in the matrix.
An apparatus for determining a beamforming weight, comprising:

a first processing module, configured to obtain, according to channel information of the user equipment UE, a beam shaping weight corresponding to the UE;

The second processing module is configured to weight the first channel state information reference signal CSI-RS sent to the UE according to the beam shaping weight to obtain a beam shaping weight of the first CSI-RS;

a sending module, configured to send a second CSI-RS to the UE, where the second CSI-RS is obtained according to a beam shaping weight of the first CSI-RS;

a receiving module, configured to receive a precoding matrix indicator PMI that is sent by the UE according to the second CSI-RS, and

The third processing module is configured to determine a beamforming weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI.
The apparatus according to claim 7, wherein

The receiving module is further configured to receive a sounding reference signal SRS sent by the UE, and

The first processing module is further configured to obtain channel information of the UE according to the SRS.
The apparatus of claim 7, further comprising a fourth processing module configured to:

And beam-forming weights of the downlink service data are weighted by weight precoding to obtain beamforming weights of the processed downlink service data;

Mapping the beamforming weights of the processed downlink service data to the antenna.
The apparatus of claim 7, wherein the first processing module is configured to:

Calculating a beamforming weight corresponding to the UE according to the formula w=H H (HH H ) −1 ,

Where w is a beamforming weight corresponding to the UE, and H is channel information of the UE.
The apparatus of claim 7, wherein the first processing module is configured to:

Calculating a steering vector of the UE according to channel information of the UE; and

Calculating a beamforming weight corresponding to the UE according to the formula w=h H (hh H ) −1 ,

Where w is a beamforming weight corresponding to the UE, h is a steering vector of the UE, and H is channel information of the UE.
The apparatus according to claim 10 or 11, wherein said third processing module is configured to:

According to the formula
Calculating a beamforming weight of the downlink service data of the UE,

The w PDSCH is a beam shaping weight of the downlink service data of the UE, where M is an array antenna number.
Indicates that the dimension is
The column vector, PMI i represents the PMI column vector of the i-th stream feedback, kron represents the Kronecker product of the column vector, and .* represents the multiplication symbol of the elements in the matrix.
An apparatus for determining a beamforming weight, comprising an interface, a bus, a memory and a processor, wherein the interface, the memory and the processor are connected by the bus, the memory is for storing an executable program, the processor It is configured to run the executable program to implement the following steps:

Obtaining, according to channel information of the user equipment UE, a beam shaping weight corresponding to the UE;

And weighting the first channel state information reference signal CSI-RS sent to the UE according to the beam shaping weight to obtain a beam shaping weight of the first CSI-RS;

Sending a second CSI-RS to the UE, where the second CSI-RS is obtained according to a beamforming weight of the first CSI-RS;

Receiving, by the UE, a precoding matrix indicator PMI according to the second CSI-RS feedback;

Determining a beamforming weight of the downlink service data of the UE according to the beamforming weight of the first CSI-RS and the PMI.
The apparatus of claim 13 wherein said processor is further configured to execute said executable program to implement the steps of:

Receiving a sounding reference signal SRS sent by the UE;

Obtaining channel information of the UE according to the SRS.
The apparatus of claim 13 wherein said processor is further configured to execute said executable program to implement the steps of:

And beam-forming weights of the downlink service data are weighted by weight precoding to obtain beamforming weights of the processed downlink service data;

Mapping the beamforming weights of the processed downlink service data to the antenna.
The apparatus of claim 13 wherein said processor is further configured to execute said executable program to implement the steps of:

Calculating a beamforming weight corresponding to the UE according to the formula w=H H (HH H ) −1 ,

Where w is a beamforming weight corresponding to the UE, and H is channel information of the UE.
The apparatus of claim 13 wherein said processor is further configured to execute said executable program to implement the steps of:

Calculating a steering vector of the UE according to channel information of the UE;

Calculating a beamforming weight corresponding to the UE according to the formula w=h H (hh H ) −1 ,

Where w is a beamforming weight corresponding to the UE, h is a steering vector of the UE, and H is channel information of the UE.
The apparatus of claim 16 or 17, wherein the processor is further configured to execute the executable program to implement the following steps:

According to the formula
Calculating a beamforming weight of the downlink service data of the UE, where the w PDSCH is a beamforming weight of the downlink service data of the UE, where M is an array antenna number,
Indicates that the dimension is
The column vector, PMI i represents the PMI column vector of the i-th stream feedback, kron represents the Kronecker product of the column vector, and .* represents the multiplication symbol of the elements in the matrix.
A computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to implement the method of determining beamforming weights according to any one of claims 1 to 6.