WO2018095305A1 - Procédé et appareil d'apprentissage de faisceau - Google Patents

Procédé et appareil d'apprentissage de faisceau Download PDF

Info

Publication number
WO2018095305A1
WO2018095305A1 PCT/CN2017/112035 CN2017112035W WO2018095305A1 WO 2018095305 A1 WO2018095305 A1 WO 2018095305A1 CN 2017112035 W CN2017112035 W CN 2017112035W WO 2018095305 A1 WO2018095305 A1 WO 2018095305A1
Authority
WO
WIPO (PCT)
Prior art keywords
training
sets
training sequences
combination
optimal
Prior art date
Application number
PCT/CN2017/112035
Other languages
English (en)
Chinese (zh)
Inventor
任亚珍
蒋成钢
张盼
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2018095305A1 publication Critical patent/WO2018095305A1/fr

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0837—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using pre-detection combining
    • H04B7/0842—Weighted combining
    • H04B7/0848—Joint weighting
    • H04B7/0851—Joint weighting using training sequences or error signal

Definitions

  • the present application relates to the field of communications technologies, and in particular, to a beam training method and apparatus.
  • 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.
  • 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.
  • SNR signal-to-noise ratio
  • 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.
  • 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.
  • 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.
  • 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.
  • SINR signal to interference plus noise ratio
  • 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.
  • MIMO Multiple-Input Multiple-Output
  • 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.
  • 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.
  • the first device 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.
  • the method further includes:
  • 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 before the first device receives the N sets of training sequences sent by the second device, the method further includes:
  • the first beam combination training indication information indicates one or more of the following:
  • 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 is used to obtain various possible combinations.
  • the method before the first device receives the N sets of training sequences sent by the second device, the method further includes:
  • 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.
  • 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.
  • 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;
  • the optimal beam combination is a beam combination corresponding to the second device sending a target training sequence
  • 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 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.
  • the method before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:
  • 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 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 method before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:
  • 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;
  • 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 method before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:
  • 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 before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • 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 method before the sending, by the second device, the N sets of training sequences to the first device, the method further includes:
  • 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 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.
  • 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.
  • the transceiver unit is further configured to:
  • the transceiver unit is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the transceiver unit is further configured to:
  • the device is any one of the following devices: 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.
  • 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.
  • the sending unit is further configured to:
  • the receiving unit is further configured to perform narrowing beam training with the first device to determine a closed-end candidate narrow beam set
  • the sending unit is further configured to:
  • the sending unit is further configured to:
  • the sending unit is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the receiving unit is further configured to:
  • the second beam combination training indication information receives, 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 sending unit is further configured to:
  • 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.
  • the transceiver is further configured to:
  • the transceiver is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the transceiver is further configured to:
  • the device is any one of the following devices: 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.
  • 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 .
  • 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;
  • the transceiver is further configured to:
  • the transceiver is further configured to:
  • the transceiver is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the transceiver is further configured to:
  • the second beam combination training indication information receives, 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 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.
  • the steps or functions may be implemented by software, or by hardware, or by a combination of hardware and software.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Figure 1 is a schematic diagram of the architecture of a two-stage weighting system of HBF modulus
  • FIG. 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.
  • the embodiment of the present application can be applied to a Wireless Local Area Network (WLAN).
  • WLAN Wireless Local Area Network
  • 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).
  • BSS Basic Service Set
  • AP Access Point
  • STA Station
  • 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.
  • GSM Global System of Mobile communication
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • GPRS General Packet Radio Service
  • LTE Long Term Evolution
  • LTE-A Advanced Long Term Evolution
  • UMTS Universal Mobile Telecommunication System
  • eLTE Evolved Long Term Evolution
  • 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.
  • UE User Equipment
  • 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.
  • MIDs mobile internet devices
  • wearable devices such as smart watches, smart bracelets, pedometers, and the like.
  • 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.
  • 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.
  • the AP may be a terminal device or a network device with a Wireless Fidelity (WiFi) chip.
  • WiFi Wireless Fidelity
  • STA may be a wireless communication chip, a wireless sensor or a wireless communication terminal.
  • 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.
  • a terminal refers to a device in a mobile communication system
  • a STA refers to a device in a WLAN.
  • 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.
  • RF radio frequency
  • 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
  • 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.
  • 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.
  • FIG. 2 a schematic flowchart of a beam training method according to an embodiment of the present application is provided.
  • 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.
  • 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).
  • the transmit beam 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.
  • 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.
  • 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.
  • a stream may also be referred to as a signal stream or a space-time stream.
  • the stream is simply referred to as a stream.
  • the number of streams refers to the number of streams.
  • 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.
  • 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:
  • CK is the channel capacity obtained when the number of streams is K under the equivalent channel
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the first device may transmit the beam combination used by the second device to the target training sequence as the optimal beam combination.
  • 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.
  • 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.
  • 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.
  • the first device and the second device are devices that send and receive data in a wireless manner.
  • 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.
  • the first device or the second device may also be other types of wireless devices, which are not illustrated one by one.
  • 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.
  • 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.
  • 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. .
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 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 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 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
  • 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.
  • 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 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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. .
  • 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 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.
  • 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.
  • 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.
  • 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 406 The first device sends the set of transceiver narrow beam pairs to the second device.
  • 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.
  • 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.
  • Step 407 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.
  • 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.
  • 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. .
  • 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.
  • the first device 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.
  • 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.
  • the first device 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.
  • the first device 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.
  • the optimal beam combination trained when performing downlink beam training, can be used to transmit downlink data.
  • the optimal beam combination trained may also be used to transmit uplink data.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the second device 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.
  • 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.
  • 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.
  • each of the beam combinations determined by the first device may include only the receive beam.
  • 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.
  • 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.
  • step 607 the second device sends data to the first device using the optimal number of streams.
  • the first device receives the data sent by the second device by using the received beam in the optimal beam combination.
  • the first device 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.
  • the first device 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.
  • the embodiment of the present application further provides a beam training device, which can perform the foregoing method embodiments.
  • 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.
  • the transceiver unit 701 is further configured to:
  • the transceiver unit 701 is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the transceiver unit 701 is further configured to:
  • the device is any one of the following devices: 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.
  • the embodiment of the present application further provides a beam training device, which can perform the foregoing method embodiments.
  • 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.
  • 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;
  • the sending unit 801 is further configured to:
  • the sending unit 801 is further configured to:
  • the sending unit 801 is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the receiving unit 802 is further configured to:
  • the second beam combination training indication information receives, 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 sending unit 801 is further configured to:
  • the embodiment of the present application further provides a beam training device, which can perform the foregoing method embodiments.
  • 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.
  • the transceiver 901 is further configured to:
  • the transceiver 901 is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the transceiver 901 is further configured to:
  • the device is any one of the following devices: 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.
  • the embodiment of the present application further provides a beam training device, which can perform the foregoing method embodiments.
  • 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.
  • 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;
  • the transceiver 1001 is further configured to:
  • the transceiver 1001 is further configured to:
  • the transceiver 1001 is further configured to:
  • the first beam combination training indication information indicates one or more of the following:
  • the second device sends a start time of the N sets of training sequences.
  • the transceiver 1001 is further configured to:
  • the second beam combination training indication information receives, 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 transceiver 1001 is further configured to:
  • 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).
  • 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.
  • 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 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.

Abstract

L'invention concerne un procédé et un appareil d'apprentissage de faisceau. Le procédé comprend les étapes suivantes : un premier dispositif reçoit N ensembles de séquences d'apprentissage envoyées par un second dispositif, chacun des N ensembles de séquences d'apprentissage correspondant à une combinaison de faisceaux, et N étant un nombre entier positif supérieur à 0 ; le premier dispositif réalise séparément une estimation de canal selon chacun des N ensembles de séquences d'apprentissage reçus, et obtient une capacité de canal sous chaque ensemble de séquences d'apprentissage selon les résultats d'estimation de canal ; le premier dispositif utilise une combinaison de faisceaux correspondant à une séquence d'apprentissage cible envoyée par le second dispositif, en tant que combinaison de faisceaux optimale, et obtient une capacité de canal maximale sous la séquence d'apprentissage cible, la séquence d'apprentissage cible appartenant aux N ensembles de séquences d'apprentissage ; et le premier dispositif utilise une quantité de flux correspondant à la capacité de canal maximale, en tant que quantité optimale de flux.
PCT/CN2017/112035 2016-11-22 2017-11-21 Procédé et appareil d'apprentissage de faisceau WO2018095305A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201611042489.4 2016-11-22
CN201611042489.4A CN108092698B (zh) 2016-11-22 2016-11-22 一种波束训练方法及装置

Publications (1)

Publication Number Publication Date
WO2018095305A1 true WO2018095305A1 (fr) 2018-05-31

Family

ID=62171014

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/112035 WO2018095305A1 (fr) 2016-11-22 2017-11-21 Procédé et appareil d'apprentissage de faisceau

Country Status (2)

Country Link
CN (1) CN108092698B (fr)
WO (1) WO2018095305A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110365384A (zh) * 2019-06-28 2019-10-22 南京邮电大学 一种基于大规模mimo混合波束成形系统的用户调度方法

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108832981A (zh) * 2018-06-20 2018-11-16 北京邮电大学 混合波束成形传输方法和系统
CN110740457A (zh) * 2018-07-20 2020-01-31 华为技术有限公司 信息传输方法、发起节点及响应节点
CN110830209B (zh) 2018-08-10 2021-04-09 华为技术有限公司 训练天线面板的方法与装置
CN112448744B (zh) * 2019-08-30 2022-09-09 成都华为技术有限公司 一种信号测量方法及装置
CN113972936B (zh) * 2020-07-23 2023-01-06 华为技术有限公司 下行发射系统和切换方法
CN112383336B (zh) * 2020-11-17 2022-03-08 电子科技大学 一种用于远距离高速飞行物体的波束追踪方法
CN114301507B (zh) * 2021-12-21 2023-04-18 京信网络系统股份有限公司 波束训练方法、装置、通信设备及存储介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104734754A (zh) * 2013-12-20 2015-06-24 中兴通讯股份有限公司 一种波束赋形权值训练方法及基站、终端
WO2016006964A1 (fr) * 2014-07-10 2016-01-14 삼성전자 주식회사 Procédé et système de communication dans un système de communication sans fil utilisant une technique de formation de faisceau
US20160337016A1 (en) * 2015-05-11 2016-11-17 Telefonaktiebolaget Lm Ericsson (Publ) Systems and methods of beam training for hybrid beamforming

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101257337B (zh) * 2008-01-24 2012-07-25 上海交通大学 用于发射接收天线联合选择的方法和装置
US8374154B2 (en) * 2009-12-23 2013-02-12 Intel Corporation Device, system and method of simultaneously communicating with a group of wireless communication devices
EP2954710A1 (fr) * 2013-02-07 2015-12-16 Interdigital Patent Holdings, Inc. Procédé et appareil d'initialisation de réseau maillé directif
CN104661321A (zh) * 2013-11-15 2015-05-27 中兴通讯股份有限公司 通信链路管理方法、设备和系统

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104734754A (zh) * 2013-12-20 2015-06-24 中兴通讯股份有限公司 一种波束赋形权值训练方法及基站、终端
WO2016006964A1 (fr) * 2014-07-10 2016-01-14 삼성전자 주식회사 Procédé et système de communication dans un système de communication sans fil utilisant une technique de formation de faisceau
US20160337016A1 (en) * 2015-05-11 2016-11-17 Telefonaktiebolaget Lm Ericsson (Publ) Systems and methods of beam training for hybrid beamforming

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110365384A (zh) * 2019-06-28 2019-10-22 南京邮电大学 一种基于大规模mimo混合波束成形系统的用户调度方法

Also Published As

Publication number Publication date
CN108092698A (zh) 2018-05-29
CN108092698B (zh) 2021-01-15

Similar Documents

Publication Publication Date Title
WO2018095305A1 (fr) Procédé et appareil d'apprentissage de faisceau
EP3691212B1 (fr) Procédé de transmission et de configuration de liaison montante, terminal et station de base
CN107431517B (zh) 用于探测性波束成形训练的装置、系统和计算机可读介质
US20210337549A1 (en) Resource indication method and apparatus
US10903888B2 (en) Configuration method and configuration device for reference signal and communication node
EP3675548B1 (fr) Dispositif et procédé de commande de formation de faisceau dans un système de communication sans fil
US11201651B2 (en) Electronic apparatus and server in wireless communication system, and wireless communication method
US10484061B2 (en) Enhanced transmit point (TRP) beam grouping based on UE beams
WO2020063308A1 (fr) Procédé et dispositif d'indication d'informations de faisceau dans un réseau de communication sans fil
WO2019029562A1 (fr) Procédé de récupération suite à une défaillance de faisceau et terminal utilisateur
JP2022539974A (ja) ビーム構成方法および装置
WO2018059470A1 (fr) Procédé et dispositif d'émission d'informations
US20240097751A1 (en) Priority-based mu-mimo pairing threshold for codebook beamforming in 5g nr massive mimo systems
US20230189038A1 (en) Acquisition and reporting of channel measurements and interference measurements
EP3554151A1 (fr) Procédé et dispositif de commande de puissance
CN107615821B (zh) 一种数据传输方法、设备和系统
US10998939B2 (en) Beamformed reception of downlink reference signals
WO2022151494A1 (fr) Procédé et appareil de détermination de paramètre de transmission
WO2020238922A1 (fr) Procédé et appareil de communication
WO2019223665A1 (fr) Procédé de transmission de données de liaison descendante, appareil de réseau et terminal
US20220345186A1 (en) Method and network device for beam vector selection
WO2023092360A1 (fr) Terminal dans un système de communication, et station de base
WO2021186573A1 (fr) Procédé de commande de communication, station de commande et programme de commande de communication
US20230403065A1 (en) Communication using a dual polarized antenna array
WO2019109483A1 (fr) Procédé et dispositif de communication

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17874739

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17874739

Country of ref document: EP

Kind code of ref document: A1