WO2018095305A1

WO2018095305A1 - Beam training method and apparatus

Info

Publication number: WO2018095305A1
Application number: PCT/CN2017/112035
Authority: WO
Inventors: 任亚珍; 蒋成钢; 张盼
Original assignee: 华为技术有限公司
Priority date: 2016-11-22
Filing date: 2017-11-21
Publication date: 2018-05-31
Also published as: CN108092698A; CN108092698B

Abstract

A beam training method and apparatus. The method comprises: a first device receives N sets of training sequences sent by a second device, each of the N sets of training sequences being corresponding to a beam combination, and N being a positive integer greater than 0; the first device separately performs channel estimation according to each of the received N sets of training sequences, and obtains a channel capacity under each set of training sequences according to the channel estimation results; the first device uses a beam combination corresponding to a target training sequence sent by the second device, as an optimal beam combination, and obtains a maximum channel capacity under the target training sequence, the target training sequence belonging to the N sets of training sequences; and the first device uses a quantity of flows corresponding to the maximum channel capacity, as an optimal quantity of flows.

Description

Beam training method and device

The present application claims priority to Chinese Patent Application No. 201611042489.4, entitled "A Beam Training Method and Apparatus", filed on November 22, 2016, the entire disclosure of which is incorporated herein by reference. .

Technical field

The present application relates to the field of communications technologies, and in particular, to a beam training method and apparatus.

Background technique

The high-frequency millimeter wave transmission process has the characteristics of large space free path loss, rain attenuation and strong oxygen absorption, which results in limited coverage of high-frequency millimeter waves. In order to improve the coverage of high-frequency millimeter waves, a large-scale antenna array can be used to form a narrow beam to improve antenna gain and compensate for path loss. Large-scale array narrow beams require beam training to ensure transmission performance before user data transmission. Otherwise, the received signal may be weak and the signal-to-noise ratio (SNR) is low.

The current beam training method generally includes the following steps: step 1, narrow beam scanning at the originating end, omnidirectional beam receiving at the receiving end, and optional narrow beam at the receiving end; step 2, omnidirectional transmission at the transmitting end, narrow beam scanning at the receiving end, and receiving end The candidate narrowed beam is selected; step 3, the originating candidate beam and the receiving end candidate beam are used for narrow beam pair measurement, and the optimal transmitting and receiving beam is determined by using the SINR criterion according to the number of streams notified by the originating end. For example, in the foregoing method, after determining the originating candidate narrow beam and the candidate narrowing beam in steps 1 and 2, the specific beam training process is as follows: assuming that the number of streams notified by the originating end is 2, the candidate beam of the originating end For 1, 9, 25, 28, the candidate beam at the end is 3, 6, 8, 15. The originating end sends the candidate beams in turn, and the receiving end sequentially scans the candidate beams under each candidate beam, and obtains the SNR of each pair of beams by SNR measurement. Suppose the originator uses beam 1 to transmit the first stream, and the receiving end uses beam 3 to receive the first stream. The SNRs _1-3 of beams 1 to 3 are the signal power of the first stream. It is assumed that the originator uses beam 28 to transmit the second one. Flow, the receiving end uses the beam 6 to receive the second stream, then the SNR _28-6 of the beam 28 to the beam 6 is the signal power of the second stream; and the SNR _1-6 of the originating beam 1 to the receiving beam 6 is the second For the interference of the stream, the SNR _28-3 of the originating beam 28 to the receiving beam 3 is the interference of the first stream. Therefore, the signal to interference plus noise ratio (SINR) of the first stream can be calculated as

The SINR of the second stream is

By analogy, the SINR value of each transceiver beam combination can be calculated, and finally the combination of the transceiver beam with the highest SINR is used as the transceiver beam combination used in the final communication.

However, the beam training method described above only calculates the SINR according to the signal power of different beams. Therefore, the selected combination of the transceiver beam and the beam may not be optimally adapted to the transmission channel, thereby failing to meet the communication requirements between the receiving end and the transmitting end. The performance of Multiple-Input Multiple-Output (MIMO) transmission between the end and the origin is degraded, resulting in a decrease in transmission efficiency between the receiving end and the transmitting end.

Summary of the invention

The embodiment of the present invention provides a beam training method and device for training a beam combination that satisfies communication requirements between a receiving end and an originating end, thereby improving transmission efficiency between the receiving end and the transmitting end.

In a first aspect, an embodiment of the present application provides a beam training method, including:

The first device receives the N sets of training sequences sent by the second device, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

The first device performs channel estimation according to each of the received training sequences of the N sets of training sequences, and obtains channel capacity under each of the training sequences according to the result of the channel estimation;

The first device sends, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N group of training sequences, and is obtained under the target training sequence Maximum channel capacity;

The first device uses the number of streams corresponding to the maximum channel capacity as the optimal number of streams.

According to the method provided by the embodiment of the present application, after receiving the N sets of training sequences sent by the second device, the first device obtains the channel capacity in each set of training sequences according to the result of the channel estimation, so that the obtained maximum channel capacity is obtained. The corresponding training sequence is used as the target training sequence, so that the second device transmits the beam combination corresponding to the target training sequence as the optimal beam combination, and the number of streams corresponding to the maximum channel capacity is used as the optimal stream number. Since the channel capacity of the optimal beam combination determined by the first device is the largest, the transmission efficiency between the receiving end and the transmitting end can be improved.

Optionally, the method further includes:

Transmitting, by the first device, beam information of the transmit beam in the optimal beam combination and the optimal flow number to the second device;

The first device uses the received beam in the optimal beam combination to receive data sent by the second device using the beam information indicated by the beam information and the optimal stream number.

Optionally, before the first device receives the N sets of training sequences sent by the second device, the method further includes:

Receiving, by the first device, first beam combination training indication information sent by the second device;

The first beam combination training indication information indicates one or more of the following:

a duration required by the second device to send the N sets of training sequences;

The order of each beam combination used by the second device to transmit the N sets of training sequences;

The second device sends a start time of the N sets of training sequences.

The first device combines the training indication information by using the first beam sent by the second device, and the sequence of the beam training duration of the N sets of training sequences and the beam combination used by the second device may be determined by the second device, thereby ensuring the first The behavior of a device and the second device are consistent, and the first device and the second device are guaranteed to perform beamless and non-repetitive beam combination training between all possible beam combinations, so that the first device can obtain various possible combinations. Equivalent channel information.

Performing narrowing beam training between the first device and the second device to determine a closed-end candidate narrow beam set;

Determining, by the first device, the second beam combination training indication information according to the receiving end candidate narrow beam set, and sending the second beam combination training indication information to the second device, where the second beam combination training indication The information indicates the length of time required for the second device to transmit the N sets of training sequences.

The first device determines the second beam combination training indication information according to the receiving end candidate narrow beam set, and sends the second beam combination training indication information to the second device, so that the first device and the second device can be ensured. Efficient and non-repetitive beam combining training is performed between all possible beam combinations, enabling the second device to obtain equivalent channel information for various possible combinations.

Optionally, the first device is any one of the following: an access point AP, a station STA, a base station, and a terminal;

The second device is any one of the following devices: an AP, a STA, a base station, and a terminal.

In a second aspect, an embodiment of the present application provides a beam training method, including:

The second device sends N sets of training sequences to the first device; wherein each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

Receiving, by the second device, an optimal flow number sent by the first device and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is a beam combination corresponding to the second device sending a target training sequence And the target training sequence belongs to the N groups of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal stream number is a number of streams corresponding to the maximum channel capacity.

According to the method provided by the embodiment of the present application, after the N device sends the N sets of training sequences to the first device, the second device receives the optimal number of streams sent by the first device and the beam information of the transmit beam in the optimal beam combination, so that the second device can be optimal according to the method. The number of streams and the beam information of the transmit beam in the optimal beam combination are sent to the first device. Since the channel capacity of the optimal beam combination determined by the first device is the largest, the data is transmitted according to the beam information of the transmit beam in the optimal beam combination. Can improve the transmission efficiency between the receiving end and the originating end.

Optionally, before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:

Performing narrow beam training between the second device and the first device to determine an available narrow beam set at the originating end;

Performing narrowing beam training between the second device and the first device to determine a closed-end candidate narrow beam set;

The second device determines, according to the originating candidate narrow beam set and the terminating candidate narrow beam set, N types of beam combinations for transmitting the N sets of training sequences.

Through the foregoing method, the second device determines, according to the originating candidate narrow beam set and the receiving end candidate narrow beam set, the N beam combinations for transmitting the N sets of training sequences, thereby avoiding traversing from all possible beam combinations, thereby The efficiency of determining the N beam combinations for transmitting the N sets of training sequences is improved.

The second device sends a beam training sequence to the first device by using each beam in the set of candidate narrow beam sets, and receives a set of transmitting and receiving alternative narrow beam pairs sent by the first device; Transmitting and receiving the optional narrow beam pair set, when the first device receives the second device to use the beam transmitting beam training sequence in the set of the candidate alternative narrow beam set, the received signal energy or the signal to noise ratio SNR is the largest K a set of beam pairs; K is a positive integer greater than zero;

Determining, by the second device, N types of beam combinations for transmitting the N sets of training sequences according to the set of transmit and receive candidate narrow beam pairs.

Through the above method, the second device sends a beam training sequence to the first device by using each of the beam of the candidate candidate narrow beam set, thereby avoiding using the second device all possible beam wheels to the first device. The beam training sequence is transmitted, thereby improving the efficiency of determining the N beam combinations for transmitting the N sets of training sequences.

The second device determines, according to the originating candidate narrow beam set, N types of beam combinations for transmitting the N sets of training sequences.

Transmitting, by the second device, first beam combination training indication information to the first device;

The second device sends a start time of the N sets of training sequences.

The method of the foregoing, the second device, by sending the first beam combination training indication information to the first device, may indicate, to the first device, a beam training duration of sending the N sets of training sequences and a sequence of beam combinations used by the second device, Therefore, the behaviors of the first device and the second device can be ensured, and the first device and the second device can perform the beamless and non-repetitive beam combination training between all possible beam combinations, so that the first device can obtain each Equivalent channel information for possible combinations.

The second device receives the second beam combination training indication information sent by the first device, where the second beam combination training indication information is determined by the first device according to the terminating candidate narrow beam set. The second beam combination training indication information indicates a duration required by the second device to send the N sets of training sequences.

Optionally, after the second device receives the optimal number of flows sent by the first device and the beam information of the transmit beam in the optimal beam combination, the method further includes:

The second device transmits data to the first device using a beam indicated by the beam information and an optimal number of streams.

In a third aspect, an embodiment of the present application provides a beam training apparatus, including:

The transceiver unit is configured to receive N sets of training sequences sent by the second device, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

a processing unit, configured to perform channel estimation according to each of the received training sequences in the N sets of training sequences, and obtain channel capacity in each of the training sequences according to the result of the channel estimation; Transmitting, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N sets of training sequences, and obtaining a maximum channel capacity under the target training sequence; The number of streams corresponding to the largest channel capacity is taken as the optimal number of streams.

Optionally, the transceiver unit is further configured to:

Transmitting beam information of the transmit beam in the optimal beam combination and the optimal stream number to the second device;

And using the received beam in the optimal beam combination to receive data sent by the second device using the beam information indicated by the beam information and the optimal stream number.

Optionally, the transceiver unit is further configured to:

Receiving, by the second device, first beam combination training indication information;

The second device sends a start time of the N sets of training sequences.

Optionally, the transceiver unit is further configured to:

Performing narrowing beam training with the second device to determine a closed-end candidate narrow beam set;

Determining the second beam combination training indication information according to the receiving end candidate narrow beam set, and sending the second beam combination training indication information to the second device, where the second beam combination training indication information indicates a second Equipment The length of time required to send the N sets of training sequences.

Optionally, the device is any one of the following devices: an access point AP, a station STA, a base station, and a terminal;

In a fourth aspect, an embodiment of the present application provides a beam training apparatus, including:

a sending unit, configured to send, to the first device, N sets of training sequences; wherein each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

a receiving unit, configured to receive an optimal flow number sent by the first device, and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is a beam combination corresponding to the second device sending a target training sequence And the target training sequence belongs to the N groups of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal stream number is a number of streams corresponding to the maximum channel capacity.

Optionally, the sending unit is further configured to:

Performing narrow beam training with the first device to determine an originating narrow beam set of the originating terminal;

The receiving unit is further configured to perform narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Determining N kinds of beam combinations for transmitting the N sets of training sequences according to the originating candidate narrow beam set and the terminating candidate narrow beam set.

Optionally, the sending unit is further configured to:

And transmitting, by using each of the set of candidate narrow beam sets, a beam training sequence to the first device, and receiving a set of transmitting and receiving alternative narrow beam pairs sent by the first device; And a set of K beam pairs having a maximum received signal energy or a signal-to-noise ratio SNR when the first device receives the beam training sequence using the beam in the originating candidate narrow beam set; K is a positive integer greater than 0;

Determining N kinds of beam combinations for transmitting the N sets of training sequences according to the set of transceiving candidate narrow beam pairs.

Optionally, the sending unit is further configured to:

Determining N kinds of beam combinations for transmitting the N sets of training sequences according to the originating candidate narrow beam set.

Optionally, the sending unit is further configured to:

Transmitting first beam combination training indication information to the first device;

The second device sends a start time of the N sets of training sequences.

Optionally, the receiving unit is further configured to:

Performing narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Receiving, by the first device, the second beam combination training indication information, where the second beam combination training indication information is determined by the first device according to the terminating candidate narrow beam set, the second beam combination The training indication information indicates the length of time required for the second device to transmit the N sets of training sequences.

Optionally, the sending unit is further configured to:

Transmitting data to the first device using the beam indicated by the beam information and the optimal number of streams.

In a fifth aspect, an embodiment of the present application provides a beam training apparatus, including:

The transceiver is configured to receive N sets of training sequences sent by the second device, where each training sequence in the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

a processor, configured to perform channel estimation according to each of the received training sequences of the N sets of training sequences, and obtain channel capacity under each of the training sequences according to the result of the channel estimation; Transmitting, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N sets of training sequences, and obtaining a maximum channel capacity under the target training sequence; The number of streams corresponding to the largest channel capacity is taken as the optimal number of streams.

Optionally, the transceiver is further configured to:

The second device sends a start time of the N sets of training sequences.

Optionally, the transceiver is further configured to:

Determining the second beam combination training indication information according to the receiving end candidate narrow beam set, and sending the second beam combination training indication information to the second device, where the second beam combination training indication information indicates a second The length of time required for the device to send the N sets of training sequences.

In a sixth aspect, an embodiment of the present application provides a beam training apparatus, including:

a transceiver, configured to send N sets of training sequences to the first device; wherein each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

The transceiver is configured to receive an optimal flow number sent by the first device and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is corresponding to the second device sending target training sequence Beam combination, the target training sequence belongs to the N sets of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal number of streams is the number of streams corresponding to the maximum channel capacity .

Optionally, the transceiver is further configured to:

The transceiver is further configured to perform narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Optionally, the transceiver is further configured to:

The second device sends a start time of the N sets of training sequences.

Optionally, the transceiver is further configured to:

The embodiment of the present application provides a computer readable storage medium, where the computer storage medium stores computer readable instructions, and when the computer reads and executes the computer readable instructions, causes the computer to perform any of the above possible designs. Beam training method.

The embodiment of the present application provides a computer program product that, when the computer reads and executes the computer program product, causes the computer to perform the beam training method in any of the above possible designs.

The embodiment of the present application provides a chip connected to a memory for reading and executing a software program stored in the memory to implement a beam training method in any of the above possible designs.

An embodiment of the present application provides a network device, where the network device has a function of implementing network device behavior in any of the foregoing beam training methods, and includes a step or function corresponding to performing any of the foregoing beam training methods. Parts (means). The steps or functions may be implemented by software, or by hardware, or by a combination of hardware and software.

In one possible design, the network device described above includes one or more processors and communication units. The one or more processors are configured to support the network device to perform corresponding functions in the above methods. For example, a synchronization signal is generated. The transceiver unit is configured to support the network device to communicate with other devices to implement a receiving/transmitting function. For example, a synchronization signal generated by the processor or the like is transmitted.

Optionally, the network device may further include one or more memories, and the memory is configured to be coupled to the processor, which saves program instructions and data necessary for the network device. The one or more memories may be integrated with the processor or may be separate from the processor, and the present application is not limited thereto.

The network device may be a base station or a TRP, etc., and the communication unit may be a transceiver, or a transceiver circuit.

The network device can also be a communication chip. The communication unit may be an input/output circuit or interface of a communication chip.

In another possible design, the above network device includes a transceiver, a processor, and a memory. The processor is for controlling transceiver transceiver signals for storing a computer program for calling and running the computer program from the memory such that the network device performs the method performed by the network device in any of the beam training methods described above.

An embodiment of the present application provides a terminal, where the terminal has a function of implementing terminal behavior in any of the beam training methods described above, and includes components corresponding to the steps or functions described in performing any of the beam training methods described above ( Means). The steps or functions may be implemented by software, or by hardware, or by a combination of hardware and software.

In one possible design, the terminal includes one or more processors and communication units. The one or more processors are configured to support the terminal to perform respective functions in the above methods. For example, uplink synchronization is performed based on the synchronization signal. The transceiver unit is configured to support the terminal to communicate with other devices to implement a receiving/transmitting function. For example, receiving a synchronization signal or the like.

Optionally, the terminal may further include one or more memories, and the memory is configured to be coupled to the processor, which saves necessary program instructions and data of the terminal. The one or more memories may be integrated with the processor or may be separate from the processor, and the present application is not limited thereto.

The terminal may be a cellular phone, a handheld terminal, a notebook computer or other device that can access the network, etc., and the communication unit may be a transceiver or a transceiver circuit.

The terminal may also include a communication chip. The communication unit may be an input/output circuit or interface of a communication chip.

In another possible design, the above terminal includes a transceiver, a processor, and a memory. The processor is for controlling transceiver transceiver signals for storing a computer program for calling and running the computer program from the memory such that the terminal performs the method performed by the terminal in any of the beam training methods described above.

DRAWINGS

Figure 1 is a schematic diagram of the architecture of a two-stage weighting system of HBF modulus;

2 is a schematic flowchart of a beam training method according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a beam training process according to an embodiment of the present application;

FIG. 4 is a schematic diagram of a beam training process according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a beam training process according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a beam training process according to an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a beam training apparatus according to an embodiment of the present disclosure;

FIG. 8 is a schematic structural diagram of a beam training apparatus according to an embodiment of the present disclosure;

FIG. 9 is a schematic structural diagram of a beam training apparatus according to an embodiment of the present disclosure;

FIG. 10 is a schematic structural diagram of a beam training apparatus according to an embodiment of the present application.

detailed description

The embodiment of the present application can be applied to a Wireless Local Area Network (WLAN). Currently, the standard adopted by the WLAN is the IEEE 802.11 series. One or more basic service sets can be included in a WLAN (Basic Service Set, BSS), network nodes in the basic service set include an Access Point (AP) and a Station (STA). Each basic service set may contain one AP and multiple STAs associated with the AP.

The embodiments of the present application can also be applied to various mobile communication systems, such as a Global System of Mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, and a wideband code division multiple access ( Wideband Code Division Multiple Access (WCDMA) system, General Packet Radio Service (GPRS), Long Term Evolution (LTE) system, Advanced Long Term Evolution (LTE-A) system, Other mobile communication systems such as Universal Mobile Telecommunication System (UMTS), Evolved Long Term Evolution (eLTE) system, 5G, and the like.

Hereinafter, some of the terms in the present application will be explained to be understood by those skilled in the art.

1) A terminal, also called a User Equipment (UE), is a device that provides voice and/or data connectivity to a user, for example, a handheld device with a wireless connection function, an in-vehicle device, and the like. Common terminals include, for example, mobile phones, tablets, notebook computers, PDAs, mobile internet devices (MIDs), wearable devices such as smart watches, smart bracelets, pedometers, and the like.

2), the base station, which may be a common base station (such as a NodeB or an eNB), may be a new radio controller (NR controller), may be a centralized network element (Centralized Unit), may be a new radio base station, may It is a radio remote module, which can be a micro base station, and can be a relay. It can be a distributed network unit (Distributed Unit), and can be a Transmission Reception Point (TRP) or a Transmission Point (TP). Or any other wireless access device, but the embodiment of the present application is not limited thereto.

3), AP, also known as access points or hotspots. The AP is an access point for mobile users to enter the wired network. It is mainly deployed in the home, inside the building, and inside the campus. The typical coverage radius is tens of meters to hundreds of meters. Of course, it can also be deployed outdoors. An AP is equivalent to a bridge connecting a wired network and a wireless network. Its main function is to connect the wireless network clients together and then connect the wireless network to the Ethernet. Specifically, the AP may be a terminal device or a network device with a Wireless Fidelity (WiFi) chip.

4), STA, may be a wireless communication chip, a wireless sensor or a wireless communication terminal. For example: mobile phone supporting WiFi communication function, tablet computer supporting WiFi communication function, set-top box supporting WiFi communication function, smart TV supporting WiFi communication function, smart wearable device supporting WiFi communication function, and vehicle communication supporting WiFi communication function Devices and computers that support WiFi communication.

In the embodiment of the present application, a terminal refers to a device in a mobile communication system, and a STA refers to a device in a WLAN. In practice, there may be a device, which is called a terminal when accessing the mobile communication system, and is connected to the WLAN. It is called STA.

In the embodiment of the present application, the first device or the second device may include a two-stage digital weighting or hybrid beamforming (HBF) modulus two-stage weighting to form a beam and a MIMO weight. The two-level digital weighting is for the all-digital architecture. The all-digital architecture refers to the architecture in which each radio frequency (RF) channel is connected to an antenna port. The two-level digital weighting is divided into two levels. Both are implemented in baseband, the first level of weighting can be used for mapping from virtual port to RF channel, and the second level of weighting can be used for mapping of signal stream to virtual port.

The HBF modulus two-stage weighted system architecture can be as shown in Figure 1. The HBF modular two-stage weighting system shown in FIG. 1 includes a baseband, an RF channel, a splitter, a phase shifter, a power amplifier (PA), and an antenna module. A phase shifter array connected to the RF channel forms a first-order analog beam by adjusting the phase shifter phase Then, the second-stage digital weighting is performed by the baseband to realize the mapping of the signal flow to the RF channel, and finally the signal flow mapped to the RF channel is transmitted through the antenna according to the phase after phase shift of the phase shifter to form a beam.

In the embodiment of the present application, the narrow beam is a directional beam with respect to the omnidirectional beam, and the narrow beam does not limit the beam to be narrow, but the radiation intensity is greater than the average radiation intensity and has directivity in a certain angular range.

Based on the above description, as shown in FIG. 2, a schematic flowchart of a beam training method according to an embodiment of the present application is provided.

Referring to Figure 2, the method includes:

Step 201: The second device sends N sets of training sequences to the first device, where each training sequence of the N sets of training sequences corresponds to one beam combination, and N is a positive integer greater than 0.

In this step, the second device may send the group of training sequences to the first device by using a transmit beam in a beam combination corresponding to each set of training sequences.

The transmit beam in the beam combination corresponding to each set of training sequences may be a narrow beam (also referred to as a directional beam, hereinafter referred to as a narrow beam). Of course, when the second device supports only the omnidirectional antenna, the transmit beam It may also be an omnidirectional beam; correspondingly, the received beam in the beam combination corresponding to each training sequence may be a narrow beam or an omnidirectional beam. The training sequence may be a pre-agreed bit sequence between the first device and the second device. Each training sequence may carry information such as a beam identifier of a beam that transmits the training sequence of the group and a radio channel identifier.

Step 202: The first device receives the N sets of training sequences sent by the second device.

In combination with the foregoing description, in this step, the first device may receive the set of training sequences by using a receive beam in a beam combination corresponding to each set of training sequences. Certainly, when the first device supports only the omnidirectional antenna, each group of training sequences sent by the second device may also be received omnidirectionally by the omnidirectional antenna.

Step 203: The first device performs channel estimation according to each of the received training sequences of the N sets of training sequences, and obtains channel capacity under each of the training sequences according to the result of the channel estimation.

It should be noted that, in the embodiment of the present application, a stream may also be referred to as a signal stream or a space-time stream. Hereinafter, the stream is simply referred to as a stream. Correspondingly, the number of streams refers to the number of streams.

In this step, the first device may perform channel estimation according to each received training sequence, determine an equivalent channel for transmitting each training sequence, and then obtain channel capacity of the equivalent channel of each training sequence under different flow numbers. That is, at least one channel capacity can be obtained under each set of training sequences, and thus the maximum channel capacity available under each group of training sequences can be determined. It should be noted that the channel estimation is performed according to the training sequence, and the equivalent channel of each group of training sequences is obtained. The embodiment of the present application is not limited, and the method for channel estimation may be referred to, and details are not described herein again.

For example, assuming that the equivalent channel obtained by the channel estimation is represented as H, the SINR of different streams under the equivalent channel can be obtained according to the H and receiver equalization formula, and then the equivalent channel can be calculated according to the following formula. Channel capacity under:

Where B is the system bandwidth and K is the number of streams, then CK is the channel capacity obtained when the number of streams is K under the equivalent channel, and the value of K can be selected according to the actual situation, for example, for supporting four rounds and two receptions ( That is, the device with four transmitting antennas and two receiving antennas can support a maximum number of streams of 2, then the value of K can be 1 or 2, and SINRi is the SINR of the i-th stream under the equivalent channel.

Finally, according to the above formula, the maximum channel capacity in the channel capacity corresponding to each group of training sequences and the number of streams corresponding to the maximum channel capacity of each group of training sequences can be determined.

Of course, the above is only an example, and the channel capacity can be calculated according to other manners. The method for calculating the channel capacity in the embodiment of the present application is not limited, and is not illustrated one by one.

Step 204: The first device sends, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N group training sequence, and the target training is performed. The maximum channel capacity is obtained in the sequence; the first device uses the number of streams corresponding to the maximum channel capacity as the optimal number of streams.

It should be noted that, in the embodiment of the present application, after the first device finally determines the optimal beam combination and the optimal number of flows, the second device may use the transmit beam in the optimal beam combination to send data to the first device, And the number of streams of the sent data is an optimal number of streams, and the corresponding first device receives the data sent by the second device by using the received beam in the optimal beam combination.

In this step, the first device may compare the channel capacity in each training sequence obtained in step 203 according to the channel capacity maximization criterion, and obtain the maximum value thereof, that is, each group training in the N group training sequence. The largest channel capacity of all channel capacities corresponding to the sequence, and the training sequence corresponding to the largest channel capacity in the N sets of training sequences is used as the target training sequence. Subsequently, the first device may transmit the beam combination used by the second device to the target training sequence as the optimal beam combination.

After the first device determines the optimal beam combination and the optimal number of streams, the beam information of the transmit beam in the optimal beam combination, or the optimal number of streams, or the beam information of the transmit beam in the optimal beam combination and the optimal stream may be selected. The number is sent to the second device, where the beam information includes at least a beam identifier, and the beam information may further include information such as a radio frequency channel identifier of the radio frequency channel corresponding to the hair beam. By sending the beam information to the second device, the second device may be configured with information such as a hair beam used by the second device to send the target training sequence, a radio frequency channel corresponding to the hair beam, and an antenna array connected to the radio frequency channel.

Step 205: The second device receives the optimal flow number sent by the first device and the beam information of the transmit beam in the optimal beam combination.

In this step, the second device may send data to the first device by using the beam indicated by the beam information and the optimal number of streams. Specifically, the second device may determine, according to the beam information of the transmit beam in the optimal beam combination, the corresponding RF channel and the antenna array corresponding to the RF channel, generate a corresponding transmit beam, and send the transmit beam to the first device by using the transmit beam. data.

It should be noted that, in the embodiment of the present application, the first device and the second device are devices that send and receive data in a wireless manner. For example, the first device and the second device may be respectively as follows: the first device is an AP, and the second device is The device is a STA; or the first device is a STA, and the second device is an AP; or the first device is a STA and the second device is a STA; or the first device is a base station, and the second device is a terminal; or, the first device The device is a terminal, and the second device is a base station; or the first device is a terminal, and the second device is a terminal. Of course, the above is only an example, and the first device or the second device may also be other types of wireless devices, which are not illustrated one by one.

In the embodiment of the present application, before the step 201, the second device may further need to determine N types of beam combinations for sending the N sets of training sequences, which are respectively described according to different scenarios.

The first possible scenario: the first device can support transmitting and receiving narrow beams, and the second device can also support transmitting and receiving narrow beams.

In this scenario, first, the narrowband training needs to be performed between the second device and the first device to determine the narrow-beam set of the originating candidate; then, the narrowband beam training needs to be performed between the second device and the first device. And determining, by the second device, the N beam combinations for transmitting the N sets of training sequences according to the originating candidate narrow beam set and the terminating candidate narrow beam set.

Specifically, in combination with the foregoing description, as shown in FIG. 3, before step 201, the following steps may also exist:

Step 301: All the RF channels of the second device and their corresponding antenna arrays perform narrow beam scanning simultaneously, that is, the second device sends the training sequence to the first device by using different narrow beams in sequence through all the RF channels and their corresponding antenna arrays. .

Correspondingly, all the RF channels of the first device and their correspondingly connected antennas or antenna arrays simultaneously adopt an omnidirectional or quasi-omnidirectional beam reception training sequence.

Step 302: The first device determines an originating candidate narrow beam set. The originating candidate narrow beam set includes at least one transmit beam, and finally at least one transmit beam may be selected from the set of transmit candidate narrow beams as the transmit beam used by the second device to send data to the first device.

Specifically, when the first device adopts omnidirectional or quasi-omnidirectional reception under each different narrow beam of the second device, the energy or SNR of the received signal of the current transmit beam is obtained, so that the energy or SNR of the received signal can be maximized. The P transmit beams are determined to be the set of originating narrow beams. The number of the transmit beams included in the set of the narrow-beams of the start-end candidate may be determined according to actual conditions. For example, the switch may include only one transmit beam, or may include multiple transmit beams, that is, P is an integer greater than or equal to 1.

Step 303: The first device sends the originating candidate narrow beam set to the second device.

Specifically, the first device may send, to the second device, beam information of each of the transmit beams in the set of candidate narrow beams, and the beam information includes information such as a beam identifier and/or a radio channel identifier of the radio channel corresponding to the transmit beam.

After receiving the beam information, the second device may determine information such as a hair beam, a radio frequency channel corresponding to the hair beam, and an antenna array corresponding to the radio frequency channel.

Step 304: The second device sends the training sequence to the first device by using the omnidirectional or quasi-omnidirectional beam. For each training sequence sent by the second device, the RF channels of the first device and their corresponding connected antenna arrays are simultaneously narrowed. The beam scans, in turn, receives the training sequence sent by the second device through each different beam of the first device.

Step 305: The first device determines a closed-end candidate narrow beam set. The receiving end of the narrow beam set includes at least one receive beam, and the first device may finally select at least one receive beam from the set of the receive end narrow beam, as the first device receives the data sent by the second device. Beam.

Specifically, when the first device receives the received beam, the energy or SNR of the received signal of the current transmit beam is obtained, so that the Q receive beams with the maximum energy or SNR of the received signal can be determined as the narrow end of the receive candidate. Beam set. The number of the received beams included in the narrow-beam set of the receiving end can be determined according to actual conditions, and details are not described herein again.

Step 306: The first device sends the receiving end narrow beam set to the second device.

Specifically, the first device may send, to the second device, beam information of each received beam in the set of narrow-beam sets in the receiving end, and the beam information includes information such as a beam identifier and/or a radio channel identifier of the radio channel corresponding to the received beam. .

Step 307: The second device determines, according to the originating candidate narrow beam set and the terminating candidate narrow beam set, N types of beam combinations for sending the N sets of training sequences, and sends a first beam combination training to the first device. Instructions.

Specifically, the second device may perform a combination of a transmit beam in the set of the narrow-beam set of the originating candidate and a receive beam in the set of the narrow-beams of the receive end to obtain multiple beam combinations, and combine the multiple beams. Part or all of the beam combination is used as the N beam combinations for transmitting the N sets of training sequences.

For example, the originating candidate narrow beam set includes a transmit beam 1 corresponding to the transmit end RF channel 1 and a transmit beam 2 corresponding to the transmit end RF channel 2; and the receive end alternative narrow beam set includes the corresponding receive end RF channel 1 The receiving beam 3 corresponds to the receiving beam 4 of the receiving terminal RF channel 2. Then, the second device can determine the following beam combinations:

Beam combination 1: the transmit beam 1 of the RF channel 1 of the transmitting end and the receive beam 3 of the RF channel 1 of the receiving end; the transmitting end The transmit beam 2 of the RF channel 2 and the receive beam 4 of the RF channel 2 of the receive end;

Beam combination 2: the transmit beam 1 of the RF channel 1 of the transmitting end and the receive beam 4 of the RF channel 1 of the receiving end; the transmit beam 2 of the RF channel 2 of the transmitting end and the receive beam 3 of the RF channel 2 of the receiving end.

It should be noted that, in the embodiment of the present application, the first beam combination training indication information may further indicate one or more of the following:

The length of time required for the second device to send the N sets of training sequences; for example, the method for determining the length of time required for the second device to send the N sets of training sequences may be: training rules according to beam combination and candidate beams at the transceiver end The number determines the number of beam combination trainings, and then determines the length of time required for each beam combination to be transmitted to receive, generally determined by the length of the system beam training pilot sequence, the system beam switching time, etc., and finally multiplies the combined training times by The training time of each beam combination can determine the length of time required for the second device to transmit the N sets of training sequences.

The second device sends the start time of the N sets of training sequences; it should be noted that the first beam combination training indication information may not indicate the start time, and the first device and the second device may pre-agreed at this time. After the second device sends the preset duration of the first beam combination training indication information, the second device starts to send the training sequence to the first device.

The second device, by sending the first beam combination training indication information to the first device, may indicate, to the first device, a beam training duration of sending the N sets of training sequences and a sequence of beam combinations used by the second device, thereby ensuring the first The behavior of a device and the second device are consistent, and the first device and the second device are guaranteed to perform beamless and non-repetitive beam combination training between all possible beam combinations, so that the first device can obtain various possible combinations. Equivalent channel information.

Steps 301 to 307 may be performed before step 201. To describe the complete process, the contents of steps 201 to 205 are described below in conjunction with steps 301 to 307.

Step 308: The second device sequentially uses the determined transmit beams of each of the N types of beam combinations, and sends a training sequence to the first device in turn, and sends a total of N sets of training sequences. Correspondingly, the first device sequentially uses the received beam in the beam combination corresponding to the transmit beam used by the second device to receive the training sequence.

Step 309: The first device determines, according to the received N sets of training sequences, the channel capacity corresponding to each group of training sequences, and then uses the beam combination used by the second device to send the target training sequence according to the channel capacity maximization criterion. The optimal beam combination and the number of streams corresponding to the largest channel capacity of the channel capacity corresponding to the target training sequence are taken as the optimal number of streams.

The specific content of this step can refer to the foregoing description, and details are not described herein again.

The first device performs channel capacity and optimal flow number judgment according to the obtained equivalent channel, and then the optimal beam combination selected according to the channel capacity maximization criterion can maximize the channel capacity of the channel for finally transmitting data, thereby improving transmission efficiency.

Step 310: The first device sends the beam information and/or the optimal stream number of the transmit beam in the optimal beam combination to the second device.

Finally, the method may further include the step 311: the second device sends the data to the first device by using the beam indicated by the beam information of the transmit beam in the optimal beam combination and the optimal number of streams.

Correspondingly, the first device receives the data sent by the second device by using the received beam in the optimal beam combination.

A second possible scenario: the first device can support narrowband transmission and the second device can also support narrowband transmission and reception.

The steps in the scenario and the first possible scenario are basically the same except for the following steps: in the second device and After performing narrow-beam training between the first devices to determine the originating candidate narrow beam set, the second device sends a beam training sequence to the first device by using each of the set of candidate narrow-beam sets. And receiving, by the first device, a set of transmit and receive candidate narrow beam pairs; the sending and receiving candidate narrow beam pair set is used by the first device to receive, by the second device, a beam in the transmit candidate narrow beam set When the beam training sequence is transmitted, the received signal energy or the signal-to-noise ratio SINR is the largest set of K beam pairs; K is a positive integer greater than 0; and the second device determines to send the N according to the transmitting and receiving candidate narrow beam pair set. N kinds of beam combinations of the training sequence.

Specifically, in combination with the foregoing description, as shown in FIG. 4, before step 201, the following steps may also exist:

Step 401: All the RF channels of the second device and their corresponding antenna arrays perform narrow beam scanning simultaneously, that is, the second device sends the training sequence to the first device by using different narrow beams in sequence through all the RF channels and their corresponding antenna arrays. .

Step 402: The first device determines an originating candidate narrow beam set. The originating candidate narrow beam set includes at least one transmit beam, and finally at least one transmit beam may be selected from the set of transmit candidate narrow beams as the transmit beam used by the second device to send data to the first device.

Step 403: The first device sends the originating candidate narrow beam set to the second device.

Step 404: The second device sends the training sequence to the first device by using the transmit beam in the set of the narrow-beam set of the originating end. For each training sequence sent by the second device, each radio channel of the first device and its corresponding connected antenna array At the same time, the narrowed beam scanning is performed, and the training sequence sent by the second device is received by each different beam of the first device in turn.

It should be noted that, each time the second device sends the training sequence, the second device may indicate information such as a beam identifier of a beam currently used to send the training sequence and a radio channel identifier of the radio channel corresponding to the beam.

Through the foregoing method, the second device may directly send the training sequence to the first device by using the transmit beam in the set of the narrow-beam set of the originating end, thereby reducing the number of the first device filtering the transmit beam and reducing the first device determining the transmit and receive candidate. The time required for the narrow beam pair set further improves the efficiency of the second device determining the N beam combinations for transmitting the N sets of training sequences.

Step 405: The first device determines to send and receive a set of candidate narrow beam pairs. The set of transmit and receive candidate narrow beam pairs includes at least one set of transmit and receive beams, and the first device may finally select a set of transmit and receive beams from the set of transmit and receive candidate narrow beam pairs as the optimal beam combination.

Step 406: The first device sends the set of transceiver narrow beam pairs to the second device.

Specifically, the first device may send, to the second device, beam information of each set of transceiver beams in the set of the selected narrow beam pair.

Step 407: The second device determines, according to the set of the transmit and receive candidate narrow beam pairs, the N types of beam combinations that are sent by the N sets of training sequences, and sends the first beam combination training indication information to the first device.

For example, the second device may combine some or all of the beam in the set of originating candidate narrow beams as the transmitting station. N kinds of beam combinations of N sets of training sequences.

Steps 401 to 407 may be performed before step 201. For the procedure after step 407, reference may be made to the description of the foregoing steps 308-311, and details are not described herein again.

A third possible scenario: the first device only supports an omnidirectional or quasi-omnidirectional antenna, and the second device can support an antenna for transmitting and receiving a narrow beam.

In this scenario, only the narrow-beam set of the originating candidate needs to be determined, and the narrow-beam set of the receiving end is not required to be determined, and the narrow-beam training is performed between the second device and the first device to determine the narrow-beam of the transmitting end. After the aggregation, the second device determines, according to the originating candidate narrow beam set, N types of beam combinations for transmitting the N sets of training sequences.

Specifically, in combination with the foregoing description, as shown in FIG. 5, before step 201, the following steps may also exist:

Step 501: All the RF channels of the second device and the correspondingly connected antenna arrays perform narrow beam scanning at the same time, that is, the second device sends the training sequence to the first device by using different narrow beams in sequence through all the RF channels and their corresponding antenna arrays. .

Correspondingly, all the RF channels of the first device and their corresponding connected antennas or antenna arrays simultaneously adopt an omnidirectional/quasi-omnidirectional beam receiving training sequence.

Step 502: The first device determines an originating candidate narrow beam set. The originating candidate narrow beam set includes at least one transmit beam, and finally at least one transmit beam may be selected from the set of transmit candidate narrow beams as the transmit beam used by the second device to send data to the first device.

Step 503: The first device sends the originating candidate narrow beam set to the second device.

Step 504: The second device determines, according to the originating candidate narrow beam set, N types of beam combinations for sending the N sets of training sequences, and sends first beam combination training indication information to the first device.

It should be noted that, since the first device only supports the omnidirectional or quasi-omnidirectional antenna, only the transmit beam may be included in each beam combination determined by the first device.

For example, the second device may combine some or all of the beams in the set of originating candidate narrow beams as the N types of beams that transmit the N sets of training sequences.

Step 501 to step 504 may be performed before step 201, and the process after step 504 may refer to the description of the previous steps 308-311, and details are not described herein again.

In the process of FIG. 3 to FIG. 5, when the first device is an AP, and the second device is a STA, or when the first device is a base station and the second device is a terminal, downlink beam training is implemented. Correspondingly, when the first device is the STA and the second device is the AP, or when the first device is the terminal and the second device is the base station, the uplink beam training is implemented.

In the flow of FIG. 3 to FIG. 5, when performing downlink beam training, the optimal beam combination trained can be used to transmit downlink data. Optionally, if the reciprocity of the uplink and the downlink is established, the optimal beam combination trained may also be used to transmit uplink data. Certainly, if the reciprocity of the uplink and the downlink is not established, in order to perform uplink data transmission, for the processes of FIG. 3 to FIG. 4, the first device and the second device may perform training according to the foregoing process to determine an optimality for transmitting uplink data. Beam combination; for the flow of Figure 5, the training can be performed according to the flow described in Figure 6 below. Among them, the reciprocity of uplink and downlink is established, that the uplink and downlink antenna array, the RF channel characteristics and the equivalent channel are identical.

By the same token, when performing uplink beam training, the optimal beam combination trained to transmit uplink data can be directly used to transmit downlink data when the reciprocity of uplink and downlink is established.

The fourth possible scenario: the first device can support the antenna for transmitting and receiving narrow beams, and the second device only supports omnidirectional or quasi- Omnidirectional antenna.

In this scenario, only the narrow-beam set of the receiving end is determined, and the narrow-beam set of the starting-end candidate is not determined, and the narrow-beam training is performed between the second device and the first device to determine that the receiving end is narrow. After the beam is set, the first device determines, according to the collection of the candidate narrow beam sets, the N types of beam combinations for sending the N sets of training sequences, and sends the second beam combination training indication information to the second device, where The two-beam combined training indication information indicates the length of time required for the second device to send the N sets of training sequences. Optionally, the second beam combination training indication information may further indicate an order in which the second device sends the beam combination used by the N sets of training sequences.

After receiving the second beam combination training indication information sent by the first device, the second device sends the N sets of training sequences to the first device according to the indication of the second beam combination training indication information.

Specifically, in combination with the foregoing description, as shown in FIG. 6, at this time, before step 201, the following steps may also exist:

Step 601: All RF channels of the second device and their corresponding connected antennas or antenna arrays simultaneously use the omnidirectional/quasi-omnidirectional beam transmission training sequence.

Correspondingly, all the RF channels of the first device and the correspondingly connected antenna arrays perform narrow beam scanning at the same time, that is, the second device receives the training sent by the first device by using different narrow beams in sequence through all the RF channels and their correspondingly connected antenna arrays. sequence.

Step 602: The first device determines a closed-end candidate narrow beam set. The receiving end narrow beam set includes at least one receive beam, and the first device may finally select at least one receive beam from the set of the receive end narrow beam to receive the receive beam used by the second device to send data.

Step 603: The first device determines, according to the collection of the candidate narrow beam sets, the second device to send the N types of beam combinations of the N sets of training sequences, and sends the second beam combination training indication information to the second device.

It should be noted that, since the second device only supports the omnidirectional or quasi-omnidirectional antenna, each of the beam combinations determined by the first device may include only the receive beam.

For example, the first device may combine some or all of the received beams in the set of receiving end narrow beams as the N kinds of beams.

Step 604: The second device sequentially sends N sets of training sequences to the first device.

Correspondingly, the first device sequentially receives the training sequence using the received beam in the N kinds of beam combinations.

Step 605: The first device determines the channel capacity corresponding to each group of training sequences according to the received N groups of training sequences, and then uses the beam combination used by the second device to send the target training sequence according to the channel capacity maximization criterion. Optimal beam combination and determine the optimal number of streams corresponding to the optimal beam combination.

Step 606: The first device sends the optimal flow number to the second device.

Finally, step 607: the second device sends data to the first device using the optimal number of streams.

With reference to the foregoing description, in the process of FIG. 6, when the first device is an AP, and the second device is a STA, or when the first device is a base station and the second device is a terminal, downlink beam training is implemented. Correspondingly, when the first device is the STA and the second device is the AP, or when the first device is the terminal and the second device is the base station, the uplink beam training is implemented.

Based on the same technical concept, the embodiment of the present application further provides a beam training device, which can perform the foregoing method embodiments.

Referring to Figure 7, the device includes:

The transceiver unit 701 is configured to receive N sets of training sequences sent by the second device, where the N sets of training sequences are Each set of training sequences corresponds to a beam combination, and the N is a positive integer greater than 0;

The processing unit 702 is configured to perform channel estimation according to each of the received training sequences of the N sets of training sequences, and obtain channel capacity in each of the training sequences according to the result of the channel estimation; Generating, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N sets of training sequences, and obtaining a maximum channel capacity under the target training sequence; The number of streams corresponding to the largest channel capacity is taken as the optimal number of streams.

Optionally, the transceiver unit 701 is further configured to:

The second device sends a start time of the N sets of training sequences.

Optionally, the transceiver unit 701 is further configured to:

Referring to Figure 8, the device includes:

The sending unit 801 is configured to send, to the first device, N sets of training sequences, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

The receiving unit 802 is configured to receive an optimal flow number sent by the first device and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is a beam corresponding to the second device sending a target training sequence Combining, the target training sequence belongs to the N groups of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal stream number is a number of streams corresponding to the maximum channel capacity.

Optionally, the sending unit 801 is further configured to:

The receiving unit 802 is further configured to perform narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Optionally, the sending unit 801 is further configured to:

The second device sends a start time of the N sets of training sequences.

Optionally, the receiving unit 802 is further configured to:

Optionally, the sending unit 801 is further configured to:

Referring to Figure 9, the device includes:

The transceiver 901 is configured to receive N sets of training sequences sent by the second device, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

The processor 902 is configured to perform channel estimation according to each of the received training sequences of the N sets of training sequences, and obtain channel capacity in each of the training sequences according to the result of the channel estimation; Generating, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N sets of training sequences, and obtaining a maximum channel capacity under the target training sequence; The number of streams corresponding to the largest channel capacity is taken as the optimal number of streams.

Optionally, the transceiver 901 is further configured to:

The second device sends a start time of the N sets of training sequences.

Optionally, the transceiver 901 is further configured to:

Referring to FIG. 10, the device includes: a transceiver 1001, a processor 1002;

The transceiver 1001 is configured to send, to the first device, N sets of training sequences, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

The transceiver 1001 is configured to receive an optimal flow number sent by the first device and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is corresponding to the second device sending target training sequence a beam combination, the target training sequence belongs to the N sets of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal stream number is a stream corresponding to the maximum channel capacity number.

Optionally, the transceiver 1001 is further configured to:

The transceiver 1001 is further configured to perform narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Optionally, the transceiver 1001 is further configured to:

The second device sends a start time of the N sets of training sequences.

Optionally, the transceiver 1001 is further configured to:

In the embodiment of the present application, the transceiver may be a wired transceiver, a wireless transceiver, or a combination thereof. The wired transceiver can be, for example, an Ethernet interface. The Ethernet interface can be an optical interface, an electrical interface, or a combination thereof. The wireless transceiver can be, for example, a wireless local area network transceiver, a cellular network transceiver, or a combination thereof. The processor may be a central processing unit (English: central processing unit, abbreviated: CPU), a network processor (English: network processor, abbreviated: NP) or a combination of CPU and NP. The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (abbreviated as PLD), or a combination thereof. The above PLD can be a complex programmable logic device (English: complex programmable logic device, abbreviation: CPLD), field-programmable gate array (English: field-programmable gate array, abbreviation: FPGA), general array logic (English: generic array Logic, abbreviation: GAL) or any combination thereof. The memory may include a volatile memory (English: volatile memory), such as random access memory (English: random-access memory, abbreviation: RAM); the memory may also include non-volatile memory (English: non-volatile memory). For example, read-only memory (English: read-only memory, abbreviation: ROM), flash memory (English: flash memory), hard disk (English: hard disk drive, abbreviation: HDD) or solid state drive (English: solid-state drive, Abbreviation: SSD); the memory may also include a combination of the above types of memory.

Wherein, FIG. 9 and FIG. 10 may further include a bus interface, which may include any number of interconnected buses and bridges, and various circuits of the memory represented by one or more processors and memories represented by the processor are together. The bus interface can also link various other circuits, such as peripherals, voltage regulators, and power management circuits, as is known in the art and, therefore, will not be further described herein. The bus interface provides an interface. The transceiver provides means for communicating with various other devices on a transmission medium. The processor is responsible for managing the bus architecture and the usual processing, and the memory can store the data that the processor uses when performing operations.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the present application. 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, such as a computer or other The instructions executed on the programmable device provide steps for implementing the functions specified in one or more blocks of the flowchart or in a flow or block of the flowchart.

While the preferred embodiment of the present application has been described, it will be apparent that those skilled in the art can make further changes and modifications to the embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and the modifications and

It will be apparent to those skilled in the art that various modifications and changes can be made in the present application without departing from the scope of the application. Thus, it is intended that the present invention include such modifications and variations as the modifications and variations of the present invention are intended to be included within the scope of the appended claims.

Claims

A beam training method, the method comprising:

The first device receives the N sets of training sequences sent by the second device, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

The first device performs channel estimation according to each of the received training sequences of the N sets of training sequences, and obtains channel capacity under each of the training sequences according to the result of the channel estimation;

The first device sends, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N group of training sequences, and is obtained under the target training sequence Maximum channel capacity;

The first device uses the number of streams corresponding to the maximum channel capacity as the optimal number of streams.
The method of claim 1 further comprising:

Transmitting, by the first device, beam information of the transmit beam in the optimal beam combination and the optimal flow number to the second device;

The first device uses the received beam in the optimal beam combination to receive data sent by the second device using the beam information indicated by the beam information and the optimal stream number.
The method according to claim 1 or 2, wherein before the first device receives the N sets of training sequences sent by the second device, the method further includes:

Receiving, by the first device, first beam combination training indication information sent by the second device;

The first beam combination training indication information indicates one or more of the following:

a duration required by the second device to send the N sets of training sequences;

The order of each beam combination used by the second device to transmit the N sets of training sequences;

The second device sends a start time of the N sets of training sequences.
The method according to any one of claims 1 to 3, wherein before the first device receives the N sets of training sequences sent by the second device, the method further includes:

Performing narrowing beam training between the first device and the second device to determine a closed-end candidate narrow beam set;

Determining, by the first device, the second beam combination training indication information according to the receiving end candidate narrow beam set, and sending the second beam combination training indication information to the second device, where the second beam combination training indication The information indicates the length of time required for the second device to transmit the N sets of training sequences.
The method according to any one of claims 1 to 4, wherein the first device is any one of the following: an access point AP; a station STA; a base station; a terminal;

The second device is any one of the following devices: an AP, a STA, a base station, and a terminal.
A beam training method, comprising:

The second device sends N sets of training sequences to the first device; wherein each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

Receiving, by the second device, an optimal flow number sent by the first device and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is a beam combination corresponding to the second device sending a target training sequence And the target training sequence belongs to the N groups of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal stream number is a number of streams corresponding to the maximum channel capacity.
The method according to claim 6, wherein the second device sends N groups of training to the first device. Before practicing the sequence, it also includes:

Performing narrow beam training between the second device and the first device to determine an available narrow beam set at the originating end;

Performing narrowing beam training between the second device and the first device to determine a closed-end candidate narrow beam set;

The second device determines, according to the originating candidate narrow beam set and the terminating candidate narrow beam set, N types of beam combinations for transmitting the N sets of training sequences.
The method according to claim 6, wherein before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:

Performing narrow beam training between the second device and the first device to determine an available narrow beam set at the originating end;

The second device sends a beam training sequence to the first device by using each beam in the set of candidate narrow beam sets, and receives a set of transmitting and receiving alternative narrow beam pairs sent by the first device; Transmitting and receiving the optional narrow beam pair set, when the first device receives the second device to use the beam transmitting beam training sequence in the set of the candidate alternative narrow beam set, the received signal energy or the signal to noise ratio SNR is the largest K a set of beam pairs; K is a positive integer greater than zero;

Determining, by the second device, N types of beam combinations for transmitting the N sets of training sequences according to the set of transmit and receive candidate narrow beam pairs.
The method according to claim 6, wherein before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:

Performing narrow beam training between the second device and the first device to determine an available narrow beam set at the originating end;

The second device determines, according to the originating candidate narrow beam set, N types of beam combinations for transmitting the N sets of training sequences.
The method according to any one of claims 6 to 9, wherein before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:

Transmitting, by the second device, first beam combination training indication information to the first device;

The first beam combination training indication information indicates one or more of the following:

a duration required by the second device to send the N sets of training sequences;

The order of each beam combination used by the second device to transmit the N sets of training sequences;

The second device sends a start time of the N sets of training sequences.
The method according to claim 6, wherein before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:

Performing narrowing beam training between the second device and the first device to determine a closed-end candidate narrow beam set;

The second device receives the second beam combination training indication information sent by the first device, where the second beam combination training indication information is determined by the first device according to the terminating candidate narrow beam set. The second beam combination training indication information indicates a duration required by the second device to send the N sets of training sequences.
The method according to any one of claims 6 to 11, wherein after the second device receives the optimal number of streams sent by the first device and the beam information of the transmit beam in the optimal beam combination, the method further includes:

The second device transmits data to the first device using a beam indicated by the beam information and an optimal number of streams.
A beam training device, comprising:

The transceiver unit is configured to receive N sets of training sequences sent by the second device, where each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

a processing unit, configured to perform channel estimation according to each of the received training sequences in the N sets of training sequences, and obtain channel capacity in each of the training sequences according to the result of the channel estimation; Transmitting, by the second device, a beam combination corresponding to the target training sequence as an optimal beam combination; wherein the target training sequence belongs to the N sets of training sequences, and obtaining a maximum channel capacity under the target training sequence; The number of streams corresponding to the largest channel capacity is taken as the optimal number of streams.
The device according to claim 13, wherein the transceiver unit is further configured to:

Transmitting beam information of the transmit beam in the optimal beam combination and the optimal stream number to the second device;

And using the received beam in the optimal beam combination to receive data sent by the second device using the beam information indicated by the beam information and the optimal stream number.
The device according to claim 13 or 14, wherein the transceiver unit is further configured to:

Receiving, by the second device, first beam combination training indication information;

The first beam combination training indication information indicates one or more of the following:

a duration required by the second device to send the N sets of training sequences;

The order of each beam combination used by the second device to transmit the N sets of training sequences;

The second device sends a start time of the N sets of training sequences.
The device according to any one of claims 13 to 15, wherein the transceiver unit is further configured to:

Performing narrowing beam training with the second device to determine a closed-end candidate narrow beam set;

Determining the second beam combination training indication information according to the receiving end candidate narrow beam set, and sending the second beam combination training indication information to the second device, where the second beam combination training indication information indicates a second The length of time required for the device to send the N sets of training sequences.
The device according to any one of claims 13 to 16, wherein the device is any one of the following devices: an access point AP; a station STA; a base station; a terminal;

The second device is any one of the following devices: an AP, a STA, a base station, and a terminal.
A beam training device, comprising:

a sending unit, configured to send, to the first device, N sets of training sequences; wherein each of the N sets of training sequences corresponds to one beam combination, and the N is a positive integer greater than 0;

a receiving unit, configured to receive an optimal flow number sent by the first device, and beam information of a transmit beam in an optimal beam combination, where the optimal beam combination is a beam combination corresponding to the second device sending a target training sequence And the target training sequence belongs to the N groups of training sequences, and obtains a maximum channel capacity under the target training sequence; the optimal stream number is a number of streams corresponding to the maximum channel capacity.
The device according to claim 18, wherein the sending unit is further configured to:

Performing narrow beam training with the first device to determine an originating narrow beam set of the originating terminal;

The receiving unit is further configured to perform narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Determining N kinds of beam combinations for transmitting the N sets of training sequences according to the originating candidate narrow beam set and the terminating candidate narrow beam set.
The device according to claim 18, wherein the sending unit is further configured to:

Performing narrow beam training with the first device to determine an originating narrow beam set of the originating terminal;

And transmitting, by using each of the set of candidate narrow beam sets, a beam training sequence to the first device, and receiving a set of transmitting and receiving alternative narrow beam pairs sent by the first device; Pair of sets for the first Receiving, by the device, the set of K beam pairs with the highest received signal energy or signal to noise ratio SNR when the second device uses the beam transmitting beam training sequence in the originating candidate narrow beam set; K is positive greater than 0 Integer

Determining N kinds of beam combinations for transmitting the N sets of training sequences according to the set of transceiving candidate narrow beam pairs.
The device according to claim 18, wherein the sending unit is further configured to:

Performing narrow beam training with the first device to determine an originating narrow beam set of the originating terminal;

Determining N kinds of beam combinations for transmitting the N sets of training sequences according to the originating candidate narrow beam set.
The device according to any one of claims 18 to 21, wherein the sending unit is further configured to:

Transmitting first beam combination training indication information to the first device;

The first beam combination training indication information indicates one or more of the following:

a duration required by the second device to send the N sets of training sequences;

The order of each beam combination used by the second device to transmit the N sets of training sequences;

The second device sends a start time of the N sets of training sequences.
The device according to claim 18, wherein the receiving unit is further configured to:

Performing narrowing beam training with the first device to determine a closed-end candidate narrow beam set;

Receiving, by the first device, the second beam combination training indication information, where the second beam combination training indication information is determined by the first device according to the terminating candidate narrow beam set, the second beam combination The training indication information indicates the length of time required for the second device to transmit the N sets of training sequences.
The device according to any one of claims 18 to 23, wherein the transmitting unit is further configured to:

Transmitting data to the first device using the beam indicated by the beam information and the optimal number of streams.