WO2019105484A1 - Procédé et dispositif de transmission de données - Google Patents

Procédé et dispositif de transmission de données Download PDF

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Publication number
WO2019105484A1
WO2019105484A1 PCT/CN2018/118981 CN2018118981W WO2019105484A1 WO 2019105484 A1 WO2019105484 A1 WO 2019105484A1 CN 2018118981 W CN2018118981 W CN 2018118981W WO 2019105484 A1 WO2019105484 A1 WO 2019105484A1
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WO
WIPO (PCT)
Prior art keywords
matrix
precoding matrix
information
precoding
network device
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PCT/CN2018/118981
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English (en)
Chinese (zh)
Inventor
沈海华
葛士斌
李波杰
毕晓艳
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华为技术有限公司
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Publication of WO2019105484A1 publication Critical patent/WO2019105484A1/fr

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    • 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
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback 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
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting

Definitions

  • the present application relates to the field of communications, and in particular, to a method and device for data transmission.
  • 5G mobile Internet and IoT services will become the main driving force for the development of mobile communications.
  • the 5th generation of mobile communication technology (5th-Generation, 5G) will meet the diverse business needs of people in the areas of residence, work, leisure and transportation, even in dense residential areas, offices, stadiums, open air gatherings, subways, expressways, High-speed rail and wide-area coverage, such as ultra-high traffic density, ultra-high connection density, and ultra-high mobility, can also provide users with ultra-high-definition video, virtual reality, cloud desktop, online games and other extreme business experiences.
  • 5G will penetrate into the Internet of Things and various industries, and integrate with industrial facilities, medical instruments, and transportation to effectively meet the diversified business needs of vertical industries such as industry, medical care, and transportation, and achieve real “ Everything is connected.”
  • Massive-MIMO is considered to be one of the key technologies of 5G, and it is the only wireless technology that can increase system capacity ten times or even 100 times.
  • large-scale multi-antenna technology can improve spectral efficiency and energy utilization efficiency through different dimensions (space, time domain, frequency domain, etc.).
  • 4/8 antenna systems generally use an open-loop or closed-loop codebook index to implement multiple-input multiple-output (MIMO) (maximum 4-stream), once the number of antennas on the base station side increases ( For example, 16, 32, 64, or 256 antennas, and the number of upstream streams (such as 8, 12, 24, 36, or 48 streams) will make the inter-stream correlation higher.
  • MIMO multiple-input multiple-output
  • the original standard codebook itself and the actual row channel It may be far from each other.
  • the open loop or the original simple codebook indication method is still used, the overall performance of the system is degraded.
  • the application provides a method and device for data transmission, which can improve system performance.
  • a method of data transmission comprising:
  • the network device determines a plurality of precoding matrices used by the terminal device to send uplink data on the multiple subbands, where the multiple subbands have a one-to-one correspondence with the plurality of precoding matrices, and the terminal device performs MIMO. Any one of a plurality of terminal devices transmitted;
  • the network device performs compression processing on the multiple precoding matrices to obtain compressed precoding matrix information
  • the network device sends the precoding matrix information to the terminal device.
  • the network device determines a plurality of precoding matrices corresponding to the uplink data sent by the multiple subbands used by the terminal device, and then compresses the multiple precoding matrices and sends the same to the terminal device.
  • the terminal device may further decompress the precoding matrix information by using the reverse process to obtain the multiple precoding matrices, and the terminal device may use the multiple precoding matrices to send uplink data on the multiple subbands.
  • the embodiment of the present application directly feeds the precoding matrix to the terminal device through the network device, and the existing open loop or closed loop codebook indication scheme is discarded. Therefore, the terminal device in the embodiment of the present application can adopt a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state performs uplink MIMO encoding, which can improve system performance.
  • the network device determines the multiple precoding matrices by receiving an uplink measurement pilot signal, such as a sounding reference signal (SRS), sent by the terminal device.
  • an uplink measurement pilot signal such as a sounding reference signal (SRS)
  • the resource used by the terminal device to send the uplink data may be divided into the multiple sub-bands, and one sub-band may include a certain bandwidth resource.
  • the uplink resource used by the user includes 20 M bandwidth, and a total of 110 resources.
  • a resource block (RB) is assumed to be a sub-band, and the 20M bandwidth is 22 sub-bands. The embodiment of the present application is not limited to this.
  • the network device may compress the multiple precoding matrices in multiple compression manners.
  • the specific manner of compressing a plurality of precoding matrices by the network device in the embodiment of the present application will be respectively exemplified below.
  • the plurality of precoding matrices are compressed by combining precoding matrix decomposition.
  • the network device performs compression processing on the multiple precoding matrices to obtain compressed precoding matrix information, including:
  • the network device combines the multiple precoding matrices to obtain a combined precoding matrix
  • Decoding by the network device, the combined precoding matrix to obtain decomposition information
  • the network device generates the precoding matrix information according to the decomposition information.
  • the decomposition information may be obtained by using multiple decomposition manners in the embodiment of the present application. For example, it can be decomposed by eigenvalues, or singular value decomposition or the like.
  • the network device decomposes the combined precoding matrix to obtain the decomposition information, including:
  • the network device performs singular value decomposition on the combined precoding matrix to obtain a left singular matrix, a diagonal matrix composed of eigenvalues, and a right singular matrix, where the decomposition information includes the left singular matrix and the diagonal of the eigenvalues.
  • the network device generates the precoding matrix information according to the decomposition information, including:
  • the network device generates the precoding matrix information according to the left singular matrix, a diagonal matrix composed of the feature values, and the right singular matrix.
  • the network device may generate the precoding matrix information according to the left singular matrix, the diagonal matrix composed of the feature values, and the right singular matrix in various manners, which will be described below.
  • the network device according to the left singular matrix, the diagonal matrix composed of the feature values, and the right singular matrix, to generate the precoding matrix information, including:
  • the network device selects the left N singular matrix and the first N columns of the right singular matrix, and selects the first N eigenvalues of the diagonal matrix composed of the eigenvalues to obtain a compressed left singular matrix, a compressed right singular matrix, and a compressed eigenvalue.
  • the precoding matrix information includes the compressed left singular matrix, the compressed right singular matrix, and the compressed feature value, where 0 ⁇ N ⁇ m, where m represents the number of transmitting antennas of the terminal device;
  • the network device generates the precoding matrix information according to the left singular matrix, the diagonal matrix composed of the feature values, and the right singular matrix, including: The network device selects the left singular matrix and the first N columns of the right singular matrix, and selects the first N eigenvalues of the diagonal matrix to obtain a compressed left singular matrix, a compressed right singular matrix, and a compressed eigenvalue; The compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalues are quantized to obtain the precoding matrix information.
  • the difference between the first case and the second case is that in the first case, the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalue need not be quantized, and the information is directly used as the precoding matrix information, and the network device
  • the precoding matrix information can be directly mapped to the time-frequency resource and transmitted to the terminal device, which can reduce the data processing process.
  • the network device needs to send the precoding matrix information to the terminal device after the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalue are encoded, and the data can be improved by encoding and the like. Interference ability, security, etc., can improve network performance.
  • the foregoing describes a manner in which a network device compresses a plurality of precoding matrices by combining precoding matrix decomposition.
  • the following describes a network device compressing the plurality of precoding matrices by performing a difference with an average precoding matrix. Method two.
  • the plurality of precoding matrices are compressed by a difference from the average precoding matrix.
  • the network device performs compression processing on the multiple precoding matrices to obtain compressed precoding matrix information, including:
  • the network device performs a difference between the multiple precoding matrices and the average precoding matrix, and obtains a difference precoding matrix corresponding to each precoding matrix in the multiple precoding matrices;
  • the network device performs quantization processing on the difference precoding matrix corresponding to each precoding matrix in the average precoding matrix and the plurality of precoding matrices to obtain the precoding matrix information.
  • the embodiment of the present application will only transmit the information of the average precoding matrix and the difference precoding matrix. To the terminal device, it can reduce the amount of information transmitted, reduce network resources, and improve the overall performance of the system.
  • the sending, by the network device, the precoding matrix information to the terminal device includes:
  • the network device passes radio resource control (RRC) signaling, media access control control element (MAC-CE), downlink control information (DCI), or downlink data.
  • RRC radio resource control
  • MAC-CE media access control control element
  • DCI downlink control information
  • the channel transmits the precoding matrix information.
  • the network device may periodically send the precoding matrix information, and the period may be fixed or dynamically configured by the network device, and the embodiment of the present application is not limited thereto.
  • the method further includes:
  • the network device sends compressed mode indication information to the terminal device, where the compressed mode indication information is used to indicate a compression mode used by the network device to generate the precoding matrix information.
  • the network device may also send the compressed mode indication information by using the radio resource control RRC signaling, the medium access control layer control element MAC-CE, the downlink control information DCI, or the downlink data channel.
  • the network device may periodically send the compressed mode indication information, and the period may be fixed or dynamically configured by the network device, and the embodiment of the present application is not limited thereto.
  • an uplink MIMO (ULMIMO) scenario supporting uplink 24 streams is taken as an example. If each UE is 2 streams, a total of 12 UL MIMO transmissions can be performed.
  • the network device compresses all precoding matrices to be transmitted by each terminal device, and transmits the compressed mode and the compressed data information (ie, precoding matrix information) to the terminal side.
  • the compressed mode indication information and the precoding matrix information are sent together or independently by the network device.
  • the second aspect provides a method for data transmission. It should be understood that the method on the terminal device side described in the second aspect corresponds to the method for describing the network device in the first aspect, and the method on the terminal device side may refer to the description on the network device side. To avoid repetition, the detailed description is omitted as appropriate herein. The difference is that the network device compresses multiple precoding matrices to generate precoding matrix information, and the terminal device side needs to decompress the received precoding matrix information and obtain multiple precoding matrices.
  • the decompression manner of the precoding matrix information by the terminal device corresponds to the compression manner of the network device to the plurality of precoding matrices, and the decompression process may be regarded as the reverse process of compression.
  • the method for data transmission includes:
  • the terminal device performs a decompression process on the precoding matrix information to obtain a plurality of precoding matrices, where the plurality of precoding matrices have a one-to-one correspondence with a plurality of subbands;
  • the terminal device transmits uplink data on the plurality of subbands based on the plurality of precoding matrices.
  • the network device determines a plurality of precoding matrices corresponding to the uplink data sent by the multiple subbands used by the terminal device, and then compresses the multiple precoding matrices and sends the same to the terminal device.
  • the terminal device may further decompress the precoding matrix information by using the reverse process to obtain the multiple precoding matrices, and the terminal device may use the multiple precoding matrices to send uplink data on the multiple subbands.
  • the embodiment of the present application directly feeds the precoding matrix to the terminal device through the network device, and the existing open loop or closed loop codebook indication scheme is discarded. Therefore, the terminal device in the embodiment of the present application can adopt a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state performs uplink MIMO encoding, which can improve system performance.
  • the terminal device performs a decompression process on the precoding matrix information to obtain a plurality of precoding matrices, including:
  • the terminal device decompresses the precoding matrix information to obtain decomposition information, where the decomposition information is information generated by the network device decomposing the combined precoding matrix formed by combining the plurality of precoding matrixes,
  • the terminal device generates the combined precoding matrix according to the decomposition information
  • the terminal device splits the precoding matrix to obtain the plurality of precoding matrices.
  • the decomposition information includes a compressed left singular matrix, a compressed diagonal matrix, and a compressed right singular matrix;
  • the terminal device generates the combined precoding matrix according to the decomposition information, including:
  • the terminal device performs a decompression process on the precoding matrix information to obtain a plurality of precoding matrices, including:
  • the terminal device decompresses the precoding matrix information, obtains an average precoding matrix of the multiple precoding matrices, and performs a difference between each precoding matrix and the average precoding matrix in the plurality of precoding matrices. Difference precoding matrix;
  • the terminal device sums the average precoding matrix and the difference precoding matrix corresponding to each precoding matrix to obtain the plurality of precoding matrices.
  • the terminal device receives the precoding matrix information sent by the network device, including:
  • the terminal device receives the network device to send the precoding matrix information by using radio resource control RRC signaling, a medium access control layer control element MAC-CE, downlink control information DCI, or a downlink data channel.
  • RRC radio resource control
  • the method further includes:
  • the terminal device receives the compression mode indication information sent by the network device, where the compression mode indication information is used to indicate a compression mode used by the network device to generate the precoding matrix information.
  • the terminal device decompresses the precoding matrix information, including:
  • the terminal device performs decompression processing on the precoding matrix information according to the compression mode.
  • the compressed mode indication information and the precoding matrix information are sent together or independently by the network device.
  • the embodiment of the present application directly feeds the precoding matrix to the terminal device through the network device, and the existing open loop or closed loop codebook indication scheme is discarded. Therefore, the terminal device in the embodiment of the present application can adopt a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state performs uplink MIMO encoding, which can improve system performance.
  • a network device comprising various modules or units for performing the method of the first aspect or any of the possible implementations of the first aspect.
  • a terminal device comprising various modules or units for performing the method of any of the possible implementations of the second aspect or the second aspect.
  • a network device device including 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 memory such that the network device device performs the method of the first aspect and its possible implementations.
  • a terminal device including 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 memory such that the terminal device performs the method of the second aspect and its possible implementations.
  • a computer readable medium having stored thereon a computer program, which when executed by a computer, implements the method of any of the possible implementations of the first aspect or the first aspect.
  • a computer readable medium having stored thereon a computer program, which when executed by a computer, implements the method of any of the possible implementations of the second aspect or the second aspect.
  • a computer program product is provided, the computer program product being executed by a computer to implement the method of any of the first aspect or the first aspect of the first aspect.
  • a computer program product which when executed by a computer, implements the method of any of the possible implementations of the second aspect or the second aspect.
  • a processing apparatus including a processor and an interface
  • the processor is configured to perform the method in any one of the foregoing first aspect, the second aspect, the first aspect, or the second aspect.
  • the processing device in the foregoing sixth aspect may be a chip, and the processor may be implemented by using hardware or by software.
  • the processor may be a logic circuit, an integrated circuit, or the like;
  • the processor can be a general purpose processor, which is implemented by reading software code stored in the memory.
  • the memory can be integrated in the processor and can exist independently of the processor.
  • FIG. 1 is a schematic diagram of a scenario of a communication system applicable to an embodiment of the present application.
  • FIG. 2 is a schematic diagram of uplink transmission according to an embodiment of the present application.
  • FIG. 3 is a schematic diagram of uplink transmission according to another embodiment of the present application.
  • FIG. 4 is a schematic diagram of uplink transmission according to another embodiment of the present application.
  • FIG. 5 is a schematic flowchart of a method for data transmission according to an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a process of compressing a precoding matrix by a network device according to an embodiment of the present application.
  • FIG. 7 is a schematic diagram of information transmitted by a network device according to an embodiment of the present application.
  • FIG. 8 is a schematic diagram of a process of compressing a precoding matrix by a network device according to another embodiment of the present application.
  • FIG. 9 is a schematic diagram of information transmitted by a network device according to another embodiment of the present application.
  • FIG. 10 is a schematic diagram of a process for a terminal device to decompress a precoding matrix according to an embodiment of the present application.
  • FIG. 11 is a schematic diagram of a process for a terminal device to decompress a precoding matrix according to another embodiment of the present application.
  • Figure 12 is a schematic block diagram of a network device in accordance with one embodiment of the present application.
  • FIG. 13 is a schematic block diagram of a terminal device according to an embodiment of the present application.
  • the embodiments of the present application are applicable to various communication systems, and therefore, the following description is not limited to a specific communication system.
  • GSM global system of mobile communication
  • CDMA code division multiple access
  • WCDMA wideband code division multiple access
  • System general packet radio service (GPRS), long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (time division duplex, TDD), universal mobile telecommunication system (UMTS), wireless local area networks (WLAN), wireless fidelity (WiFi), and next-generation communication systems
  • the fifth generation (5th generation, 5G) communication system for example, a new radio (NR) system.
  • the network device may be a global system of mobile communication (GSM) or a base transceiver station (BTS) in code division multiple access (CDMA), or may be a broadband A base station (nodeB, NB) in a code division multiple access (WCDMA), or an evolved base station (eNB/eNodeB) in long term evolution (LTE), or a relay station or an access point, or a network side device in a future 5G network, for example, a transmission point (TRP or TP) in an NR system, a base station (gNB) in an NR system, a radio unit in an NR system, such as a remote radio unit One or a group of base stations (including multiple antenna panels) in a 5G system, etc.
  • Different network devices may be located in the same cell or in different cells, and are not limited herein.
  • the network device provides a service for the cell
  • the terminal device communicates with the network device by using a transmission resource (for example, a frequency domain resource, or a spectrum resource) used by the cell
  • the cell may be a network device.
  • a transmission resource for example, a frequency domain resource, or a spectrum resource
  • the cell may be a network device.
  • the cell may belong to a macro base station, or may belong to a base station corresponding to a small cell, where the small cell may include: a metro cell, a micro cell, and a pico cell. (Pico cell), femto cell, etc.
  • These small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.
  • the cell may also be a hypercell.
  • the terminal device may also be referred to as a user equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, a remote terminal, a mobile device, a user terminal, and a terminal.
  • a wireless communication device a user agent, or a user device.
  • the access terminal may be a cellular phone, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, a personal digital assistant (PDA), with wireless communication.
  • the terminal device may also be a wearable device.
  • a wearable device which can also be called a wearable smart device, is a general term for applying wearable technology to intelligently design and wear wearable devices such as glasses, gloves, watches, clothing, and shoes.
  • a wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are more than just a hardware device, but they also implement powerful functions through software support, data interaction, and cloud interaction.
  • Generalized wearable smart devices include full-featured, large-size, non-reliable smartphones for full or partial functions, such as smart watches or smart glasses, and focus on only one type of application, and need to work with other devices such as smartphones. Use, such as various smart bracelets for smart signs monitoring, smart jewelry, etc.
  • the embodiments of the present application can be applied to any of the foregoing communication systems.
  • the embodiment of the present application can be applied to an LTE system and a subsequent evolved system, such as 5G, or other wireless communication systems that use various radio access technologies, such as using code points.
  • a wireless network using Massive MIMO technology a wireless network using distributed antenna technology, and the like.
  • FIG. 1 is a schematic diagram of a scenario of a communication system applicable to an embodiment of the present application.
  • the communication system 100 includes a network side device 102, and the network side device 102 may include a plurality of antenna groups.
  • Each antenna group may include multiple antennas, for example, one antenna group may include antennas 104 and 106, another antenna group may include antennas 108 and 110, and an additional group may include antennas 112 and 114.
  • Two antennas are shown in Figure 1 for each antenna group, although more or fewer antennas may be used for each group.
  • Network side device 102 may additionally include a transmitter chain and a receiver chain, as will be understood by those of ordinary skill in the art, which may include various components associated with signal transmission and reception (eg, processors, modulators, multiplexers, Demodulator, demultiplexer or antenna, etc.).
  • a transmitter chain and a receiver chain may include various components associated with signal transmission and reception (eg, processors, modulators, multiplexers, Demodulator, demultiplexer or antenna, etc.).
  • the network side device 102 can communicate with a plurality of terminal devices (e.g., the terminal device 116 and the terminal device 122). However, it will be appreciated that the network side device 102 can communicate with any number of terminal devices similar to the terminal device 116 or 122.
  • Terminal devices 116 and 122 may be, for example, cellular telephones, smart phones, portable computers, handheld communication devices, handheld computing devices, satellite radios, global positioning systems, PDAs, and/or any other suitable for communicating over wireless communication system 100. device.
  • terminal device 116 is in communication with antennas 112 and 114, wherein antennas 112 and 114 transmit information to terminal device 116 over forward link 118 and receive information from terminal device 116 over reverse link 120.
  • terminal device 122 is in communication with antennas 104 and 106, wherein antennas 104 and 106 transmit information to terminal device 122 over forward link 124 and receive information from terminal device 122 over reverse link 126.
  • the forward link 118 can utilize a different frequency band than that used by the reverse link 120, and the forward link 124 can utilize the reverse link. 126 different frequency bands used.
  • FDD frequency division duplex
  • the forward link 118 and the reverse link 120 can use a common frequency band, a forward link 124, and a reverse link.
  • Link 126 can use a common frequency band.
  • Each set of antennas and/or areas designed for communication is referred to as a sector of the network side device 102.
  • the antenna group can be designed to communicate with terminal devices in sectors of the network side device 102 coverage area.
  • the transmit antenna of the network side device 102 can utilize beamforming to improve the signal to noise ratio of the forward links 118 and 124.
  • the neighboring cell is compared with the manner in which the network side device transmits a signal to all of its terminal devices through a single antenna. Mobile devices in the middle are subject to less interference.
  • the network side device 102, the terminal device 116, or the terminal device 122 may be a wireless communication transmitting device and/or a wireless communication receiving device.
  • the wireless communication transmitting device can encode the data for transmission.
  • the wireless communication transmitting device may acquire (eg, generate, receive from other communication devices, or store in memory, etc.) a certain number of data bits to be transmitted over the channel to the wireless communication receiving device.
  • Such data bits may be included in a transport block (or multiple transport blocks) of data that may be segmented to produce multiple code blocks.
  • the communication system 100 may be a public land mobile network PLMN network or a device to device (D2D) network or a machine to machine (M2M) network or other network, and FIG. 1 is merely an example for convenience of understanding.
  • PLMN public land mobile network
  • D2D device to device
  • M2M machine to machine
  • FIG. 1 is merely an example for convenience of understanding.
  • a simplified schematic diagram of the network may also include other network devices, which are not shown in FIG.
  • the transmitting end of the signal (for example, the terminal device) needs to precode the transmitting signal using the precoding matrix, and the transmitting end uses the precoding process to transmit the signal x.
  • the relationship between the received signal y and the received signal received by the receiving end can be as follows:
  • x is the transmission signal of the transmitting end
  • y is the received signal of the receiving end (for example, the network device)
  • H is the channel matrix
  • W is the precoding matrix
  • n is the noise.
  • the embodiment of the present application mainly relates to a scheme for determining a precoding matrix by a transmitting end (for example, when the transmitting end is a terminal device in uplink transmission).
  • the standard/product support network device for example, the base station BS
  • the base station BS has a maximum 8-antenna uplink reception, and generally adopts an open-loop or closed-loop codebook index to implement uplink MIMO (maximum 4-stream).
  • the network device for example, the base station BS
  • the network device does not perform the codebook indication, and directly performs uplink scheduling on the terminal device
  • multiple terminal devices for example, shown in FIG. 2
  • Each of the four terminal devices determines a corresponding precoding matrix and maps the data to each antenna and transmits.
  • the network device side and the terminal device side pre-store the same codebook, and the base station side first indicates the appropriate precoding threshold of the terminal device by using the downlink control information DCI according to the uplink channel state.
  • the codebook index is used by the terminal device to obtain a precoding matrix according to the codebook index query codebook, and precode the transmitted signal.
  • the schemes of FIG. 2 and FIG. 3 above can be applied to the case where the number of antennas on the network device side is small. However, once the number of antennas on the base station side increases (for example, 16, 32, 64, or 256 antennas), the number of upstream streams increases (for example, 8, 12, 24, 36 or 48 streams), the inter-stream correlation is relatively high. If the open-loop mode or the closed-code mode is still used, the precoding matrix used by the terminal device may be far from the actual channel. , resulting in a reduction in overall system performance.
  • the embodiment of the present application subtly proposes a method for determining the precoding.
  • the embodiment of the present application discards the existing
  • the scheme indicated by the ring or closed-loop codebook is a scheme in which the network device directly feeds back the precoding matrix to the terminal.
  • the compressed precoding matrix is sent by the network device, and the terminal device decompresses and obtains a precoding matrix corresponding to the channel state.
  • the network device may calculate a precoding matrix of the uplink transmission corresponding to the terminal device based on the measurement channel; perform pre-compression preprocessing on all precoding matrices to be sent, and send the compressed precoding matrix to the terminal device; After the information sent by the network device side is sent, the corresponding precoding matrix (decompression process) is decompressed, and uplink MIMO coding is performed based on the precoding matrix, and the precoded data is sent to the network device.
  • the embodiment of the present application implements uplink MIMO coding by using a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state), which solves the problems of the prior art and can improve system performance.
  • a more accurate precoding matrix for example, a precoding matrix similar to or consistent with a channel state
  • FIG. 5 is a schematic flow chart of a method of determining precoding according to an embodiment of the present invention.
  • the method as shown in FIG. 5 can be applied to any of the above communication systems, and the communication system includes a plurality of terminal devices and network devices, and the plurality of terminal devices perform MIMO transmission with the network devices.
  • the method 500 as shown in FIG. 5 includes:
  • the network device determines a plurality of precoding matrices used by the terminal device to send uplink data on multiple subbands, where the multiple subbands have a one-to-one correspondence with the plurality of precoding matrices, and the terminal device performs MIMO transmission. Any of a plurality of terminal devices.
  • the network device determines the multiple precoding matrices by receiving an uplink measurement pilot signal, such as a Sounding Reference Signal (SRS), sent by the terminal device.
  • an uplink measurement pilot signal such as a Sounding Reference Signal (SRS)
  • SRS Sounding Reference Signal
  • the resource used by the terminal device to send the uplink data may be divided into the foregoing multiple sub-bands, and one sub-band may include a certain bandwidth resource.
  • the uplink resource used by the user includes 20 M bandwidth, for a total of 110 RB. Assuming that the 5RB is a sub-band, the 20M bandwidth is a total of 22 sub-bands.
  • the embodiment of the present application is not limited thereto. In actual applications, the size of the sub-band may be determined according to actual conditions, which is not limited by the embodiment of the present application.
  • the network device performs compression processing on the multiple precoding matrices to obtain compressed precoding matrix information.
  • the network device may compress the multiple precoding matrices in multiple compression manners.
  • the specific manner of compressing a plurality of precoding matrices by the network device in the embodiment of the present application will be respectively exemplified below.
  • the plurality of precoding matrices are compressed by combining precoding matrix decomposition.
  • the network device combines the multiple precoding matrices to obtain a combined precoding matrix; the network device decomposes the combined precoding matrix to obtain decomposition information; and the network device generates the precoding matrix according to the decomposition information. information.
  • the precoding matrix of the subband is W i (two-dimensional matrix [m][r], where m represents the terminal side uplink transmitting antenna, r represents the number of uplink scheduling layers), and the network device pre-codes all sub-band precoding matrices W i is combined into a new matrix, that is, the combined precoding matrix is W (two-dimensional matrix [m][r*subband_num], where subband_num represents the number of subbands).
  • the number of layers that are scheduled in different sub-bands may be different.
  • the description is made by taking the same number of layers of the uplink scheduling of the sub-bands as the example, but the embodiment of the present application is not limited thereto.
  • the decomposition information may be obtained by using multiple decomposition manners in the embodiment of the present application.
  • the eigenvalue decomposition or the singular value decomposition or the like may be used.
  • only the feature decomposition is taken as an example to describe the compression of the plurality of precoding matrices in the compression mode 1.
  • the embodiment of the present application is not limited thereto. .
  • the network device decomposes the combined precoding matrix to obtain the decomposition information, including:
  • the network device performs singular value decomposition on the combined precoding matrix to obtain a left singular matrix, a diagonal matrix composed of eigenvalues, and a right singular matrix, and the decomposition information includes the left singular matrix, a diagonal matrix composed of eigenvalues, and a right singularity matrix;
  • the network device generates the precoding matrix information according to the decomposition information, including:
  • the network device generates the precoding matrix information according to the left singular matrix, a diagonal matrix composed of the eigenvalues, and the right singular matrix.
  • the network device may generate the precoding matrix information according to the left singular matrix, the diagonal matrix composed of the feature values, and the right singular matrix in various manners, which will be described below.
  • the network device selects the left N singular matrix and the first N columns of the right singular matrix, and selects the first N eigenvalues of the diagonal matrix composed of the eigenvalues to obtain a compressed left singular matrix, a compressed right singular matrix, and a compression An eigenvalue, where the precoding matrix information includes the compressed left singular matrix, the compressed right singular matrix, and the compressed feature value, 0 ⁇ N ⁇ m, where m represents the number of transmitting antennas of the terminal device;
  • the network device selects the left singular matrix and the first N columns of the right singular matrix, and selects the first N eigenvalues of the diagonal matrix to obtain a compressed left singular matrix, a compressed right singular matrix, and a compressed eigenvalue;
  • the network device quantizes the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalues to obtain the precoding matrix information.
  • the difference between the first case and the second case is that in the first case, the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalue need not be quantized, and the information is directly used as the precoding matrix information, and the network device
  • the precoding matrix information can be directly mapped to the time-frequency resource and transmitted to the terminal device, which can reduce the data processing process.
  • the network device needs to send the precoding matrix information to the terminal device after the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalue are encoded, and the data can be improved by encoding and the like. Interference ability, security, etc., can improve network performance.
  • the network device takes the first N columns of U and V respectively, obtains the compressed left singular matrix U1, compresses the right singular matrix V1, and takes the first N eigenvalues ( ⁇ 1 , ⁇ 2 , . . . ⁇ N ) in the S matrix.
  • the compressed feature value is obtained; only the U1, V1, and N feature values (ie, the compressed feature value) are sent to the terminal side.
  • the network device directly sends the U1, V1, and the compressed feature value
  • the network The device needs to perform the process of quantizing and encoding the U1, V1, and compression feature values before sending.
  • the network device in the embodiment of the present application only sends the U1, V1, and the compressed feature values to the terminal device, which can reduce the amount of information transmitted, reduce network resources, and improve overall system performance.
  • the transmission resource is 20M bandwidth
  • a total of 110 RBs assuming 5RB as a sub-band
  • the 20M bandwidth has a total of 22 sub-bands.
  • the network device side first receives the uplink measurement pilot signal sent by the terminal device, performs channel estimation, and uplink precoding calculation, and obtains a precoding matrix W i of each subband, and a dimension of the matrix W i . It is 8*2.
  • W i is as follows:
  • the network device side forms the uplink sub-band precoding matrix of the terminal device to form a combined precoding matrix W, W.
  • the network device obtains the compressed left singular matrix U1 in the first N columns of U, and obtains the compressed right singular matrix V1 in the first N columns of V, and the first N of the eight eigenvalues in S obtain the compressed feature value, 0 ⁇ N ⁇ 8.
  • the value of N may be a predetermined one, or the network device may be configured according to requirements, and the embodiment of the present application is not limited thereto.
  • the compressed left singular matrix U1 (8*3) is obtained, and the specific form of the compressed right singular matrix V1 (44*3) is as follows, and the compressed feature values include ⁇ 1 , ⁇ 2 , ⁇ 3 .
  • the network device side After acquiring the compressed left singular matrix U1, the right singular matrix V1, and the compressed feature value, the network device side sends the U1, V1, and compressed feature values to the terminal side in a certain manner.
  • Transmission mode 1 According to the above case 1, the network device directly maps the U1, V1, and compressed feature values to the time-frequency domain, and sends the signal to the terminal side. For example, the above information occupies resources of 159 REs in the frequency domain.
  • compresses feature values occupies 3 re resources.
  • Transmission mode 2 According to the above case 2, U1, V1, the compressed feature value is quantized and transmitted to the terminal side. It should be understood that, in the embodiment of the present application, a plurality of types of quantization may be used, as long as the U1, V1, and the compressed feature value information can be sent to the terminal side, which is not limited by the embodiment of the present application.
  • the network device can perform 8-bit quantization on the real/imaginary parts of all elements in U1 and V1, and 1 bit represents symbol bits (0 indicates a positive number, 1 indicates a negative number), 7 bits indicates a quantized value, and compressed feature values directly perform 8 bits.
  • Quantization (unsigned bits).
  • the quantization may be performed by: quantifying the IQ of all the data separately (there are 159 IQ data in the above mentioned scenario), assuming that 8 bit quantization is used, and 1 bit is used to represent the sign bit ( 1: indicates a negative number, 0 indicates a positive number), and 7 bits are used to represent a quantized value.
  • the IQ can be quantified using the following formula.
  • the terminal device in a case that the network device sends the quantized U1, V1, and compresses the feature value, the terminal device is configured to obtain the precoding matrix information.
  • the method also includes the network device transmitting the quantization mode indication information. That is, the network device transmits the quantization mode indication information and the quantized information to the terminal device.
  • the quantization mode indication information sent by the network device may include a quantization mode and a total length after quantization, and the quantized information sent by the network device may include U1 quantized information, V1 quantized information, and compressed feature values. Quantify information.
  • the U1, V1, and the compressed feature value may be quantized in other manners, as long as the U1, V1, and the compressed feature value can be sent to the terminal device side, the embodiment of the present application is not limited thereto. .
  • the foregoing describes a manner in which a network device compresses a plurality of precoding matrices by combining precoding matrix decomposition.
  • the following describes a network device compressing the plurality of precoding matrices by performing a difference with an average precoding matrix. Method two.
  • the plurality of precoding matrices are compressed by a difference from the average precoding matrix.
  • the network device performs linear averaging on the plurality of precoding matrices to obtain an average precoding matrix.
  • the network device performs a difference between the plurality of precoding matrices and the average precoding matrix to obtain the multiple precodings.
  • a difference precoding matrix corresponding to each precoding matrix in the matrix the network device quantizes the average precoding matrix and the difference precoding matrix corresponding to each precoding matrix in the plurality of precoding matrices, and obtains the Precoding matrix information.
  • the precoding matrix of the subband is W i (two-dimensional matrix [m][r], where m represents the terminal side uplink transmitting antenna, r represents the number of uplink scheduling layers), and the network device pre-codes all sub-band precoding matrices W i , linear averaging is performed to obtain an average precoding matrix W AVG .
  • W AVG (W 1 + W 2 +... + Wsubband_num) / subband_num
  • the precoding matrices of the respective subbands are similar, the values of the respective elements in the Wsub i are relatively small, so only a small number of bits are required to represent the Wsub i information.
  • the amount of data of the information of W AVG and Wsub i is less than the amount of data of the original W. Therefore, the embodiment of the present application only transmits the information of W AVG and Wsub i to the terminal device, which can reduce the amount of information transmitted, reduce network resources, and improve overall system performance.
  • the transmission resource is 20M bandwidth
  • a total of 110 RBs assuming 5RB as a sub-band
  • the 20M bandwidth has a total of 22 sub-bands.
  • the network device side first receives the uplink measurement pilot signal sent by the terminal device, performs channel estimation, and uplink precoding calculation, and obtains a precoding matrix W i of each subband, and the W i matrix dimension is 8*2.
  • W i is as follows:
  • the network device performs linear averaging on all subband precoding matrices W i to obtain an average precoding matrix W AVG .
  • W AVG (W 1 + W 2 +... + W 22 ) / 22
  • the network device compares the matrix W i and the matrix W AVG to obtain a difference value corresponding to each precoding matrix.
  • Precoding matrix Wsub i Precoding matrix Wsub i .
  • W AVG and Wsub i are merely exemplary. In practical applications, other quantization methods may also be used for quantization. Since Wsub i is a relative value, the value is compared. Small, only a small amount of quantized bits are needed for its quantization.
  • the method also includes the network device transmitting the quantization mode indication information. That is, the network device transmits the quantization mode indication information and the quantized information to the terminal device.
  • embodiments of the present application are not limited thereto.
  • the network device sends precoding matrix information to the terminal device.
  • the network device sends the precoding matrix information by using radio resource control RRC signaling, a medium access control layer control element MAC-CE, downlink control information DCI, or a downlink data channel.
  • the network device may periodically send the precoding matrix information, and the period may be fixed or dynamically configured by the network device, and the embodiment of the present application is not limited thereto.
  • the network device can perform compression processing through multiple compression modes. Accordingly, the terminal device needs to perform decompression in a corresponding manner to obtain a precoding matrix corresponding to each subband.
  • the method 500 may further include: the network device sending, to the terminal device, compressed mode indication information, where the compressed mode indication information is used to indicate that the network device generates the precoding matrix information. Compressed mode.
  • the network device may also send the compressed mode indication information by using the radio resource control RRC signaling, the medium access control layer control element MAC-CE, the downlink control information DCI, or the downlink data channel.
  • the terminal device receives the compression mode indication information sent by the network device, where the compression mode indication information is used to indicate a compression mode used by the network device to generate the precoding matrix information.
  • the network device may periodically send the compressed mode indication information, and the period may be fixed or dynamically configured by the network device, and the embodiment of the present application is not limited thereto.
  • the compressed mode indication information and the precoding matrix information are sent together or independently by the network device.
  • the network device compresses all precoding matrices to be transmitted by each terminal device, and transmits the compressed mode and the compressed data information (ie, precoding matrix information) to the terminal side.
  • the specific description of the compressed mode may be as shown in Table 1 below, and the compressed mode indication information may be 6 bits of data, wherein the previous 2 bits, that is, the compressed mode (first 2 bits) is used to represent the compression mode or compression described above.
  • the compressed mode 1 first 2 bits
  • the compressed information is quantized and then transmitted to the terminal side.
  • the compressed mode 2 (the first 2 bits), corresponding to the compression mode 2 in the above, in the compressed mode 2 (the first 2 bits), the information is quantized and sent to the terminal side after compression, since the value of N is not involved in the compression mode 2, therefore, In this mode, the compressed mode (last 4 bits) is invalid to the default value (Default).
  • the terminal device decompresses the precoding matrix information to obtain a plurality of precoding matrices, and the plurality of precoding matrices have a one-to-one correspondence with the plurality of subbands.
  • the decompression manner of the precoding matrix information by the terminal device corresponds to the compression manner of the network device to the plurality of precoding matrices, and the decompression process may be regarded as the reverse process of compression.
  • the terminal device decompresses the precoding matrix information to obtain a plurality of precoding matrices, including:
  • the terminal device decompresses the precoding matrix information to obtain decomposition information, where the decomposition information is information generated by the network device decomposing the combined precoding matrix formed by combining the plurality of precoding matrices, and the terminal device generates the information according to the decomposition information.
  • the combined precoding matrix the terminal device splits the precoding matrix to obtain the plurality of precoding matrices.
  • the decomposition information may be the result of the corresponding eigenvalue decomposition or the result of the singular value decomposition.
  • the decomposition information micro-correspondence singular value decomposition result will be described as an example.
  • the decomposition information includes a compressed left singular matrix, a compressed diagonal matrix, and a compressed right singular matrix;
  • the terminal device generates the combined precoding matrix according to the decomposition information, including:
  • the terminal device generates a combined precoding matrix of the plurality of precoding matrices according to the compressed left singular matrix, the compressed diagonal matrix, and the compressed right singular matrix.
  • the terminal device receives the compressed mode indication information and the compressed information, and parses the U1, V1, and N feature values based on the compressed mode; wherein U1:[m][N], V1:[r* Subband_num][N].
  • the combined precoding matrix W' is determined according to the following formula.
  • V 1 T represents the transposition of V 1
  • W' matrix dimension is [ m][r*subband_num].
  • the terminal device performs uplink MIMO coding based on the precoding matrix W i of each subband, wherein the precoding matrix dimension of the subband is [m][r], i represents the i th subband, and the total subband_num subbands
  • the transmission resource is 20M bandwidth
  • a total of 110 RBs assuming 5RB as a sub-band
  • the 20M bandwidth has a total of 22 sub-bands.
  • the eigenvalues are ⁇ 1 , ⁇ 2 , ⁇ 3
  • the terminal device calculates W(8*44), W i (8*2) according to the following formula
  • the terminal side performs uplink MIMO encoding using the precoding matrix W i (8*2) of each subband.
  • the terminal device decompresses the precoding matrix information to obtain a plurality of precoding matrices, including:
  • the terminal device decompresses the precoding matrix information, obtains an average precoding matrix of the plurality of precoding matrices, and performs difference precoding between each precoding matrix of the plurality of precoding matrices and the average precoding matrix. matrix;
  • the terminal device sums the average precoding matrix and the difference precoding matrix corresponding to each precoding matrix to obtain the plurality of precoding matrices.
  • the transmission resource is 20M bandwidth
  • a total of 110 RBs assuming 5RB as a sub-band
  • the 20M bandwidth has a total of 22 sub-bands.
  • the terminal device sends uplink data on the multiple subbands based on the multiple precoding matrices.
  • the network device determines a plurality of precoding matrices corresponding to the uplink data sent by the multiple subbands used by the terminal device, and then compresses the multiple precoding matrices and sends the same to the terminal device.
  • the terminal device may further decompress the precoding matrix information by using an inverse process to obtain the multiple precoding matrices, and the terminal device may use the multiple precoding matrices to send uplink data on the multiple subbands.
  • the network device needs to receive multiple uplink data that are transmitted by multiple terminal devices simultaneously through the MIMO technology, that is, each terminal device needs to perform the above process of 510-550, for the sake of brevity,
  • the method for determining the precoding in the embodiment of the present application is described in the embodiment of the present application, but the embodiment of the present application is not limited thereto.
  • the embodiment of the present application directly feeds the precoding matrix to the terminal device through the network device, and the existing open loop or closed loop codebook indication scheme is discarded. Therefore, the terminal device in the embodiment of the present application can adopt a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state performs uplink MIMO encoding, which can improve system performance.
  • FIG. 1 to FIG. 11 are merely for facilitating the understanding of the embodiments of the present invention, and the embodiments of the present invention are not limited to the specific numerical values or specific examples illustrated. A person skilled in the art will be able to make various modifications and changes in accordance with the examples of FIG. 1 to FIG. 11 which are within the scope of the embodiments of the present invention.
  • the size of the sequence numbers of the foregoing processes does not mean the order of execution sequence, and the order of execution of each process should be determined by its function and internal logic, and should not be applied to the embodiment of the present application.
  • the implementation process constitutes any limitation.
  • FIG. 12 is a schematic structural diagram of a network device according to an embodiment of the present application, and may be, for example, a schematic structural diagram of a base station. As shown in FIG. 12, the network device 1200 can be applied to the system shown in FIG. 1 to perform the functions of the network device in the foregoing method embodiment.
  • the network device 1200 may include one or more radio frequency units, such as a remote radio unit (RRU) 121 and one or more baseband units (BBUs) (also referred to as digital units, digital units, DUs). ) 122.
  • the RRU 121 may be referred to as a transceiver unit 121.
  • the transceiver unit may also be referred to as a transceiver, transceiver circuit, or transceiver, etc., which may include at least one antenna 1211 and a radio frequency unit 1212.
  • the RRU 121 portion is mainly used for transmitting and receiving radio frequency signals and converting radio frequency signals and baseband signals, for example, for transmitting precoding matrix information to a terminal device.
  • the BBU 122 portion is mainly used for performing baseband processing, controlling a base station, and the like.
  • the RRU 121 and the BBU 122 may be physically disposed together or physically separated, that is, distributed base stations.
  • the BBU 122 is a control center of the base station, and may also be referred to as a processing unit 122, and is mainly used to perform baseband processing functions such as channel coding, multiplexing, modulation, spreading, and the like.
  • the BBU processing unit
  • the BBU can be used to control the base station to perform an operation procedure about the network device in the foregoing method embodiment.
  • the BBU 122 may be configured by one or more boards, and multiple boards may jointly support a single access standard radio access network (such as an LTE network), or may support different access technologies respectively. Access network (such as LTE network, 5G network or other network).
  • the BBU 122 also includes a memory 1221 and a processor 1222.
  • the memory 1221 is used to store necessary instructions and data.
  • the processor 1222 is configured to control the base station to perform necessary actions, for example, to control the base station to perform an operation procedure of the network device in the foregoing method embodiment.
  • the memory 1221 and the processor 1222 can serve one or more boards. That is, the memory and processor can be individually set on each board. It is also possible that multiple boards share the same memory and processor. In addition, the necessary circuits can be set on each board.
  • the processing unit is configured to determine multiple precoding matrices used by the terminal device to send uplink data on multiple subbands, where the multiple subbands and the multiple precoding matrices have one a corresponding relationship, the terminal device is any one of a plurality of terminal devices that perform MIMO transmission; performing compression processing on the plurality of precoding matrices to obtain compressed precoding matrix information; and transmitting and receiving units for using the terminal device Sending the precoding matrix information.
  • the embodiment of the present application directly feeds the precoding matrix to the terminal device through the network device, and the existing open loop or closed loop codebook indication scheme is discarded. Therefore, the terminal device in the embodiment of the present application can adopt a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state performs uplink MIMO encoding, which can improve system performance.
  • the processing unit is specifically configured to: combine the multiple precoding matrices to obtain a combined precoding matrix; decompose the combined precoding matrix to obtain decomposition information, according to The decomposition information generates the precoding matrix information.
  • the processing unit is specifically configured to perform singular value decomposition on the combined precoding matrix to obtain a left singular matrix, a diagonal matrix composed of eigenvalues, and a right singular matrix, where the decomposition information And including the left singular matrix, a diagonal matrix composed of eigenvalues, and a right singular matrix; and generating the precoding matrix information according to the left singular matrix, the diagonal matrix composed of the eigenvalues, and the right singular matrix.
  • the processing unit is specifically configured to select the first N columns of the left singular matrix and the right singular matrix, and select the first N features of the diagonal matrix formed by the feature values. And obtaining a compressed left singular matrix, a compressed right singular matrix, and a compressed eigenvalue, wherein the precoding matrix information includes the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalue, 0 ⁇ N ⁇ m, m represents the number of transmit antennas of the terminal device; or, the processing unit is specifically configured to select the first N columns of the left singular matrix and the right singular matrix, and select the first N of the diagonal matrix
  • the eigenvalues obtain a compressed left singular matrix, a compressed right singular matrix, and a compressed eigenvalue; and the compressed left singular matrix, the compressed right singular matrix, and the compressed eigenvalue are quantized to obtain the precoding matrix information.
  • the processing unit is specifically configured to: perform linear averaging on the plurality of precoding matrices to obtain an average precoding matrix; and separately compare the plurality of precoding matrices with the average precoding matrix
  • the coding matrix performs a difference, and obtains a difference precoding matrix corresponding to each precoding matrix in the plurality of precoding matrices; and corresponding to each precoding matrix in the average precoding matrix and the multiple precoding matrices
  • the difference precoding matrix performs quantization processing to obtain the precoding matrix information.
  • the transceiver unit is specifically configured to send the precoding matrix by using a radio resource control RRC signaling, a medium access control layer control element MAC-CE, a downlink control information DCI, or a downlink data channel. information.
  • the transceiver unit is further configured to send the compressed mode indication information to the terminal device, where the compressed mode indication information is used to indicate that the network device generates the precoding matrix information. Compressed mode.
  • the compressed mode indication information and the precoding matrix information are sent together or independently sent by the transceiver unit.
  • the network device 1200 shown in FIG. 12 can implement various processes related to the network device in the method embodiments of FIG. 1 to FIG.
  • the operations and/or functions of the various modules in the network device 1200 are respectively implemented in order to implement the corresponding processes in the foregoing method embodiments.
  • the detailed description is omitted here.
  • FIG. 13 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure.
  • the terminal device can be adapted for use in the system shown in FIG.
  • FIG. 13 shows only the main components of the terminal device.
  • the terminal device 1300 includes a processor, a memory, a control circuit, an antenna, and an input and output device.
  • the processor is mainly used for processing the communication protocol and the communication data, and controlling the entire terminal device, executing the software program, and processing the data of the software program, for example, for supporting the terminal device to perform the actions described in the foregoing method embodiments.
  • Memory is primarily used to store software programs and data.
  • the control circuit is mainly used for converting baseband signals and radio frequency signals and processing radio frequency signals.
  • the control circuit together with the antenna can also be called a transceiver, and is mainly used for transmitting and receiving RF signals in the form of electromagnetic waves.
  • Input and output devices such as touch screens, display screens, keyboards, etc., are primarily used to receive user input data and output data to the user.
  • the processor can read the software program in the storage unit, interpret and execute the instructions of the software program, and process the data of the software program.
  • the processor performs baseband processing on the data to be sent, and then outputs the baseband signal to the radio frequency circuit.
  • the radio frequency circuit performs radio frequency processing on the baseband signal, and then sends the radio frequency signal to the outside through the antenna in the form of electromagnetic waves.
  • the RF circuit receives the RF signal through the antenna, converts the RF signal into a baseband signal, and outputs the baseband signal to the processor, which converts the baseband signal into data and processes the data.
  • FIG. 13 shows only one memory and processor for ease of illustration. In an actual terminal device, there may be multiple processors and memories.
  • the memory may also be referred to as a storage medium or a storage device, and the like.
  • the processor may include a baseband processor and a central processing unit, and the baseband processor is mainly used to process the communication protocol and the communication data, and the central processing unit is mainly used to control and execute the entire terminal device.
  • the processor in FIG. 13 can integrate the functions of the baseband processor and the central processing unit.
  • the baseband processor and the central processing unit can also be independent processors and interconnected by technologies such as a bus.
  • the terminal device may include a plurality of baseband processors to accommodate different network standards, and the terminal device may include a plurality of central processors to enhance its processing capabilities, and various components of the terminal devices may be connected through various buses.
  • the baseband processor can also be expressed as a baseband processing circuit or a baseband processing chip.
  • the central processing unit can also be expressed as a central processing circuit or a central processing chip.
  • the functions of processing the communication protocol and the communication data may be built in the processor, or may be stored in the storage unit in the form of a software program, and the processor executes the software program to implement the baseband processing function.
  • an antenna and a control circuit having a transceiving function can be regarded as a transceiving unit 131 of the terminal device 1300, for example, for supporting the terminal device to perform a transceiving function performed by the terminal device in the method implementation in FIG. .
  • the processor having the processing function is regarded as the processing unit 132 of the terminal device 1300.
  • the terminal device 1300 includes a transceiver unit 131 and a processing unit 132.
  • the transceiver unit can also be referred to as a transceiver, a transceiver, a transceiver, and the like.
  • the device for implementing the receiving function in the transceiver unit 131 can be regarded as a receiving unit, and the device for implementing the sending function in the transceiver unit 131 is regarded as a sending unit, that is, the transceiver unit 131 includes a receiving unit and a sending unit.
  • the receiving unit may also be referred to as a receiver, an input port, a receiving circuit, etc.
  • the transmitting unit may be referred to as a transmitter, a transmitter, or a transmitting circuit or the like.
  • the processing unit 132 can be configured to execute the instructions stored in the memory to control the transceiver unit 131 to receive signals and/or transmit signals to complete the functions of the terminal device in the foregoing method embodiment.
  • the function of the transceiver unit 131 can be implemented by a dedicated chip through a transceiver circuit or a transceiver.
  • the transceiver unit is configured to receive precoding matrix information sent by the network device, and the processing unit is configured to perform decompression processing on the precoding matrix information to obtain multiple precoding matrices, where the multiple The precoding matrix has a one-to-one correspondence with the plurality of subbands; the transceiver unit is further configured to send the uplink data on the plurality of subbands based on the plurality of precoding matrices.
  • the embodiment of the present application directly feeds the precoding matrix to the terminal device through the network device, and the existing open loop or closed loop codebook indication scheme is discarded. Therefore, the terminal device in the embodiment of the present application can adopt a more accurate precoding matrix (for example, a precoding matrix similar to or consistent with a channel state performs uplink MIMO encoding, which can improve system performance.
  • the processing unit is specifically configured to decompress the precoding matrix information acquisition decomposition information, where the decomposition information is a combination formed by the network device to the multiple precoding matrix combinations.
  • the information generated by the precoding matrix is decomposed, and the combined precoding matrix is generated according to the decomposition information; and the precoding matrix is split to obtain the plurality of precoding matrices.
  • the decomposition information includes a compressed left singular matrix, a compressed diagonal matrix, and a compressed right singular matrix; wherein the processing unit is specifically configured to compress a left singular matrix according to the compressed diagonal singular matrix Generating a combined precoding matrix of the plurality of precoding matrices by a matrix and a compressed right singular matrix;
  • the processing unit is specifically configured to decompress the precoding matrix information, obtain an average precoding matrix of the multiple precoding matrices, and each preamble of the plurality of precoding matrices.
  • a difference precoding matrix obtained by performing a difference between the coding matrix and the average precoding matrix; summing the average precoding matrix and the difference precoding matrix corresponding to each precoding matrix to obtain the plurality of Precoding matrix.
  • the transceiver unit is specifically configured to receive, by the network device, a RRC signaling, a media access control layer control element, a MAC-CE, a downlink control information, a DCI, or a downlink data channel.
  • the precoding matrix information is specifically configured to receive, by the network device, a RRC signaling, a media access control layer control element, a MAC-CE, a downlink control information, a DCI, or a downlink data channel.
  • the precoding matrix information is specifically configured to receive, by the network device, a RRC signaling, a media access control layer control element, a MAC-CE, a downlink control information, a DCI, or a downlink data channel.
  • the transceiver unit is further configured to receive compression mode indication information that is sent by the network device, where the compression mode indication information is used to instruct the network device to generate the precoding matrix information.
  • the compression mode is adopted, wherein the processing unit is specifically configured to perform decompression processing on the precoding matrix information according to the compression mode.
  • the compressed mode indication information and the precoding matrix information are sent together or independently by the network device.
  • the terminal device 1300 shown in FIG. 13 can implement various processes related to the terminal device in the method embodiments of FIG. 1 to FIG.
  • the operations and/or functions of the respective modules in the terminal device 1300 are respectively implemented in order to implement the corresponding processes in the foregoing method embodiments.
  • the detailed description is omitted here.
  • the embodiment of the present application further provides a processing apparatus, including a processor and an interface, and a processor, configured to perform a method for measuring a signal in any one of the foregoing method embodiments.
  • the above processing device may be a chip.
  • the processing device may be a Field-Programmable Gate Array (FPGA), may be an Application Specific Integrated Circuit (ASIC), or may be a System on Chip (SoC). It can be a Central Processor Unit (CPU), a Network Processor (NP), a Digital Signal Processor (DSP), or a Micro Controller (Micro Controller). Unit, MCU), can also be a Programmable Logic Device (PLD) or other integrated chip.
  • FPGA Field-Programmable Gate Array
  • ASIC Application Specific Integrated Circuit
  • SoC System on Chip
  • CPU Central Processor Unit
  • NP Network Processor
  • DSP Digital Signal Processor
  • MCU Micro Controller
  • PLD Programmable Logic Device
  • each step of the above method may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software.
  • the steps of the method disclosed in the embodiments of the present application may be directly implemented as a hardware processor, or may be performed by a combination of hardware and software modules in the processor.
  • the software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like.
  • the storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.
  • the processor in the embodiment of the present invention may be an integrated circuit chip with signal processing capability.
  • each step of the foregoing method embodiment may be completed by an integrated logic circuit of hardware in a processor or an instruction in a form of software.
  • the above processor may be a general purpose processor, a digital signal processor (DSP), an application specific integrated crucit (ASIC), a field programmable gate array (FPGA) or the like. Programming logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • the methods, steps, and logical block diagrams disclosed in the embodiments of the present invention may be implemented or carried out.
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present invention may be directly implemented by the hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like.
  • the storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the above method.
  • the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory.
  • the non-volatile memory may be a read-only memory (ROM), a programmable read only memory (ROMM), an erasable programmable read only memory (erasable PROM, EPROM), or an electrical Erase programmable EPROM (EEPROM) or flash memory.
  • the volatile memory can be a random access memory (RAM) that acts as an external cache.
  • RAM random access memory
  • RAM random access memory
  • many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (Synchronous DRAM).
  • SDRAM double data rate synchronous DRAM
  • DDR SDRAM double data rate synchronous DRAM
  • ESDRAM enhanced synchronous dynamic random access memory
  • SLDRAM synchronously connected dynamic random access memory
  • DR RAM direct memory bus random access memory
  • the embodiment of the present application further provides a communication system, including the foregoing network device and multiple terminal devices, where the multiple terminal devices perform MIMO transmission with the network device.
  • the embodiment of the present application further provides a computer readable medium having stored thereon a computer program, which is implemented by a computer to implement the method for signal measurement in any of the foregoing method embodiments.
  • the embodiment of the present application further provides a computer program product, which is implemented by a computer to implement the method for signal measurement in any of the foregoing method embodiments.
  • the computer program product includes one or more computer instructions.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transmission to another website site, computer, server or data center via wired (eg coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg infrared, wireless, microwave, etc.).
  • the computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media.
  • the usable medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk, SSD)) and so on.
  • a magnetic medium eg, a floppy disk, a hard disk, a magnetic tape
  • an optical medium eg, a high-density digital video disc (DVD)
  • DVD high-density digital video disc
  • SSD solid state disk
  • a component can be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
  • an application running on a computing device and a computing device can be a component.
  • One or more components can reside within a process and/or execution thread, and the components can be located on one computer and/or distributed between two or more computers.
  • these components can execute from various computer readable media having various data structures stored thereon.
  • a component may, for example, be based on signals having one or more data packets (eg, data from two components interacting with another component between the local system, the distributed system, and/or the network, such as the Internet interacting with other systems) Communicate through local and/or remote processes.
  • data packets eg, data from two components interacting with another component between the local system, the distributed system, and/or the network, such as the Internet interacting with other systems
  • the size of the sequence numbers of the foregoing processes does not mean the order of execution sequence, and the order of execution of each process should be determined by its function and internal logic, and should not be applied to the embodiment of the present application.
  • the implementation process constitutes any limitation.
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the computer program product includes one or more computer instructions (programs).
  • programs When the computer program instructions (programs) are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are generated in whole or in part.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transfer to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL), or wireless (eg, infrared, wireless, microwave, etc.).
  • the computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media.
  • the usable medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)) or the like.
  • a magnetic medium eg, a floppy disk, a hard disk, a magnetic tape
  • an optical medium eg, a DVD
  • a semiconductor medium eg, a solid state disk (SSD)

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Radio Transmission System (AREA)

Abstract

La présente invention concerne un procédé et un dispositif de transmission de données. Le procédé comporte les étapes suivantes: un dispositif de réseau détermine une pluralité de matrices de précodage utilisées par un dispositif terminal pour émettre des données de liaison montante sur une pluralité de sous-bandes, la pluralité de sous-bandes et la pluralité de matrices de précodage présentant une corrélation biunivoque, le dispositif terminal étant un dispositif quelconque parmi une pluralité de dispositifs terminaux effectuant une transmission MIMO; le dispositif de réseau effectue un traitement de compression de la pluralité de matrices de précodage, pour acquérir des informations de matrices de précodage compressées; et le dispositif de réseau envoie les informations de matrices de précodage au dispositif terminal. Le dispositif terminal selon les modes de réalisation la présente invention peut utiliser une matrice de précodage plus exacte pour effectuer un codage MIMO de liaison montante, améliorant ainsi les performances du système.
PCT/CN2018/118981 2017-12-01 2018-12-03 Procédé et dispositif de transmission de données WO2019105484A1 (fr)

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