WO2019062604A1 - 利用控制资源集的预编码粒度进行信道估计的方法和设备 - Google Patents

利用控制资源集的预编码粒度进行信道估计的方法和设备 Download PDF

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Publication number
WO2019062604A1
WO2019062604A1 PCT/CN2018/106277 CN2018106277W WO2019062604A1 WO 2019062604 A1 WO2019062604 A1 WO 2019062604A1 CN 2018106277 W CN2018106277 W CN 2018106277W WO 2019062604 A1 WO2019062604 A1 WO 2019062604A1
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Prior art keywords
frequency domain
element group
precoding granularity
determining
resource element
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PCT/CN2018/106277
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English (en)
French (fr)
Inventor
李娜
潘学明
沈晓冬
丁昱
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维沃移动通信有限公司
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Application filed by 维沃移动通信有限公司 filed Critical 维沃移动通信有限公司
Priority to US16/652,162 priority Critical patent/US11196528B2/en
Priority to EP18863118.8A priority patent/EP3694272A4/en
Publication of WO2019062604A1 publication Critical patent/WO2019062604A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0091—Signaling for the administration of the divided path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0204—Channel estimation of multiple channels
    • 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
    • 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
    • H04B7/0619—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 using feedback from receiving side
    • H04B7/0658—Feedback reduction
    • H04B7/066—Combined feedback for a number of channels, e.g. over several subcarriers like in orthogonal frequency division multiplexing [OFDM]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0224—Channel estimation using sounding signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0003—Two-dimensional division
    • H04L5/0005—Time-frequency
    • H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0053—Allocation of signaling, i.e. of overhead other than pilot signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation

Definitions

  • the present application relates to the field of communications technologies, and in particular, to a method and device for performing channel estimation by using a precoding granularity of a control resource set.
  • a physical downlink control channel PDCCH full name Physical Downlink Control Channel
  • PDCCH full name Physical Downlink Control Channel
  • the precoding granularity can be configured in an RRC manner.
  • the remaining minimum system information control resource set RMSI CORESET full name Remaining minimum system information CORESET, that is, the CORESET of the physical downlink shared channel PDSCH that schedules the transmission of the remaining minimum system information RMSI
  • the CORESET is sent before the RRC connection. That is to say, when the RMSI CORESET is sent, the user equipment UE (the full name User Equipment) has not received the RRC message sent by the network device.
  • a method for determining the precoding granularity of the control resource set configured in the non-RRC mode is required, so that the terminal device can determine before the RRC connection is established. Precoding the granularity for channel estimation.
  • An embodiment of the present application provides a method and a device for performing channel estimation by using a precoding granularity of a control resource set, so as to determine a precoding granularity of a control resource set configured in a non-RRC manner, so that the terminal device can determine the pre-determination before the RRC connection is established.
  • the granularity is encoded for channel estimation.
  • the first aspect provides a method for performing channel estimation by using a precoding granularity of a control resource set, which is applied to a terminal device, where the control resource set is configured by using a non-radio resource control RRC mode, including:
  • a method for performing channel estimation by using a precoding granularity of a control resource set which is applied to a network device, and includes:
  • the network configuration information is used to indicate that the terminal device determines the precoding granularity according to the resource element group binding size in the frequency domain, or the network configuration information is used to indicate that the terminal device is configured according to the CORESET medium frequency domain
  • the number of consecutive resource blocks RB determines the precoding granularity so that the terminal device determines the precoding granularity and performs channel estimation.
  • a third aspect provides an apparatus for performing channel estimation by using a precoding granularity of a control resource set, which is applied to a terminal device, where the control resource set is configured by using a non-radio resource control RRC mode, and includes:
  • a precoding granularity determining module configured to determine a precoding granularity according to one of a plurality of determining manners
  • a channel estimation module configured to perform channel estimation according to the precoding granularity
  • a fourth aspect provides an apparatus for performing channel estimation by using a precoding granularity of a control resource set, which is applied to a network device, where the control resource set is configured by using a non-radio resource control RRC mode, and includes:
  • An information determining module configured to determine network configuration information, where the network configuration information is used to indicate that the terminal device determines the precoding granularity according to a resource element group binding size in a frequency domain, or the network configuration information is used to indicate the terminal device And determining, according to the number of consecutive resource blocks RBs in the frequency domain of the CORESET, the precoding granularity, so that the terminal device determines the precoding granularity and performs channel estimation.
  • a fifth aspect provides a terminal device, including: a memory, a processor, and a computer program stored on the memory and operable on the processor, the computer program being implemented by the processor.
  • a network device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being implemented by the processor.
  • a seventh aspect a computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to implement precoding using a control resource set as described in the first aspect The step of the method of granularity for channel estimation.
  • a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement precoding using a control resource set as described in the second aspect The step of the method of granularity for channel estimation.
  • the terminal device can determine the precoding granularity before the RRC connection is established, and channel estimation can be performed.
  • FIG. 1 is a schematic flowchart of a channel estimation method according to an embodiment of the present application.
  • FIG. 2 is a second schematic flowchart of a channel estimation method according to an embodiment of the present application.
  • FIG. 3 is a third schematic flowchart of a channel estimation method according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of a channel estimation apparatus according to an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of a network device according to an embodiment of the present application.
  • FIG. 7 is still another schematic structural diagram of a channel estimation apparatus according to an embodiment of the present application.
  • the terminal device may include, but is not limited to, a mobile station (Mobile Station, MS), a mobile terminal (Mobile Terminal), a mobile phone (Mobile Telephone), a user equipment (User Equipment, UE), and a mobile phone (handset).
  • a portable device, a vehicle, etc. the terminal device can communicate with one or more core networks via a Radio Access Network (RAN), for example, the terminal device can be a mobile phone (or Known as "cellular" telephones, computers with wireless communication capabilities, etc., the terminal devices can also be portable, pocket-sized, handheld, computer-integrated or in-vehicle mobile devices.
  • RAN Radio Access Network
  • the network device involved in the embodiment of the present application is a device deployed in a radio access network to provide a wireless communication function for a terminal device.
  • the network device may be a base station, and the base station may include various forms of macro base stations, micro base stations, relay stations, access points, and the like.
  • the names of devices with base station functionality may vary.
  • eNB evolved Node B
  • 3G 3rd generation
  • the embodiment of the present application provides a scheme for determining a precoding granularity for a control resource set CORESET configured by using a non-radio resource control RRC mode.
  • a typical non-radio resource control RRC mode includes: Remaining minimum system information (RMSI).
  • the cyclic precoding precoder cycling is a transmission diversity scheme of the NR PDCCH. Cyclic precoding, that is, with a certain granularity, the same precoding method is adopted in each granularity, and different granularity adopts different precoding methods, that is, the precoding scheme cyclically changes in the frequency domain in such a manner that A certain coding gain can be obtained.
  • the terminal device needs to know the granularity of the PDCCH precoding, because when performing channel estimation at the receiving end, it is necessary to know which PRBs use the same precoding method and which are different coding modes.
  • An embodiment of the present application provides a method for performing channel estimation by using a precoding granularity of a control resource set, which can be applied to a terminal device, and the control resource set is configured by using a non-radio resource control RRC mode, as shown in FIG. 1 , which may include :
  • S101 Determine a precoding granularity according to one of a plurality of determining manners
  • the determining manner includes: determining a precoding granularity according to a resource element group binding size in the frequency domain, determining a precoding granularity according to the number of consecutive resource blocks RBs in the frequency domain of the CORESET, and determining the precoding according to the network configuration information. Graininess.
  • the terminal device can determine the precoding granularity before the RRC connection is established, and can perform channel estimation.
  • the pre-coding granularity is determined according to the resource element group binding size (also referred to as the REG bundle size in frequency domain, the full name of the Resource Element Group bundle size in frequency domain).
  • the resource element group binding size also referred to as the REG bundle size in frequency domain, the full name of the Resource Element Group bundle size in frequency domain.
  • the terminal device can determine the precoding granularity according to the resource element group binding size in the frequency domain, and the method in the embodiment of the present application further includes:
  • S105 Receive a primary information block MIB sent by the network device, where the MIB includes first indication information, where the first indication information is used to indicate a resource element group binding size and a time domain symbol number occupied by the CORESET.
  • S107 Determine a resource element group binding size in the frequency domain according to the resource element group binding size indicated by the first indication information and the number of time domain symbols occupied by the CORESET.
  • step S1031 may be performed to determine the precoding granularity according to the resource element group binding size in the frequency domain.
  • the master information block MIB sends the indication information to the user equipment UE, the resource element group binding size REG bundle size and the control resource set duration CORESET duration (characterized as the time domain occupied by the control resource set CORESET). Number of symbols).
  • the terminal device can determine the precoding granularity according to the resource element group binding size in the frequency domain, and the method in this embodiment may also include:
  • the resource element group binding size in the frequency domain is determined according to the resource element group binding size preset by the protocol.
  • the terminal device can determine the precoding granularity according to the resource element group binding size in the frequency domain, and the method in this embodiment may also include:
  • S109 Determine, according to the frequency domain bandwidth and the number of time domain symbols occupied by the control resource set, and the preset rule, determine a resource element group binding size, where the preset rule is: in a given frequency domain bandwidth, the time domain occupied by the control resource set is controlled. The longer the number of symbols, the larger the resource element group binding size;
  • S111 Determine a resource element group binding size in the frequency domain according to the resource element group binding size and the time domain symbol number.
  • step S1031 may be performed to determine the pre-coded granularity according to the resource element group binding size in the frequency domain.
  • a larger bundle size for example, 6 REGs
  • a smaller bundle size for example, 2 REG
  • the judgment that the frequency domain bandwidth of the RMSI CORESET is "larger” or “smaller” may be different for the CORSERT of different symbol lengths. This is because the same REG bundle size is used for the CORESET of different symbol lengths. Since the concept of the resource element group binding size is defined in the time-frequency domain, the REG bundle size in the embodiment of the present application is Refers to the resource element group binding size on the time-frequency domain. Unless otherwise specified as the REG bundle size on the frequency domain, the REG bundle size in the frequency domain direction is different.
  • the bundle size can be equal to the time domain symbol length or 6 ( 6 is a multiple of 2 and 3).
  • 6 is a multiple of 2 and 3.
  • the resource element group binding size in the frequency domain may be directly determined as the precoding granularity.
  • the determining manner is to determine the precoding granularity according to the number of consecutive resource blocks RB in the frequency domain in the CORESET.
  • the number of consecutive resource blocks RB in the frequency domain of the CORESET can be directly determined as the precoding granularity.
  • the determining method is to determine the precoding granularity according to the network configuration information, and the method further includes:
  • the MIB includes network configuration information
  • the network configuration information is used to indicate that the precoding granularity is determined according to the resource element group binding size in the frequency domain, or the network configuration information is used to indicate the frequency domain according to the CORESET.
  • the number of consecutive resource blocks RB determines the precoding granularity.
  • the network device is allowed to include network configuration information indicating the manner of determination in the primary information block MIB.
  • the user equipment UE determines the manner according to the configuration in the main information block MIB. More specifically, the selection can be made in the determined manner of the above example.
  • the embodiment of the present application further provides a method for performing channel estimation by using a precoding granularity of a control resource set, which is applied to a network device, and includes:
  • Determining network configuration information where the network configuration information is used to indicate that the terminal device determines the precoding granularity according to the resource element group binding size in the frequency domain, or the network configuration information is used to indicate that the terminal device is configured according to the number of consecutive resource blocks RB in the CORESET medium frequency domain.
  • the precoding granularity is determined such that the terminal device determines the precoding granularity and performs channel estimation.
  • the method further includes: sending a primary information block MIB to the terminal device, where the primary information block MIB includes network configuration information.
  • the MIB further includes first indication information, where the first indication information is used to indicate the resource element group binding.
  • the embodiment of the present application further provides an apparatus for performing channel estimation by using a precoding granularity of a control resource set, which is applied to a terminal device, and the control resource set is configured by using a non-radio resource control RRC mode, including:
  • a precoding granularity determining module 101 configured to determine a precoding granularity according to one of a plurality of determining manners
  • a channel estimation module 103 configured to perform channel estimation according to precoding granularity
  • the determining manner includes: determining a precoding granularity according to a resource element group binding size in the frequency domain, determining a precoding granularity according to the number of consecutive resource blocks RBs in the frequency domain of the CORESET, and determining the precoding according to the network configuration information. Graininess.
  • the device when the determining manner is that, according to the resource element group binding size in the frequency domain, determining the precoding granularity, the device further includes:
  • a first MIB receiving module configured to receive a primary information block MIB sent by the network device, where the MIB includes first indication information, where the first indication information is used to indicate a resource element group binding size and a time domain symbol number occupied by the CORESET;
  • the resource element group binding size first determining module in the frequency domain is configured to determine a resource element group binding size in the frequency domain according to the resource element group binding size indicated by the first indication information and the number of time domain symbols occupied by the CORESET.
  • the foregoing apparatus when determining the precoding granularity according to the resource element group binding size in the frequency domain, the foregoing apparatus further includes:
  • the resource element group binding size second determining module in the frequency domain is configured to determine a resource element group binding size in the frequency domain according to the resource element group binding size preset by the protocol.
  • the foregoing apparatus when determining the precoding granularity according to the resource element group binding size in the frequency domain, the foregoing apparatus further includes:
  • the resource element group binding size determining module is configured to determine the resource element group binding size according to the frequency domain bandwidth and the time domain symbol number occupied by the control resource set and the preset rule; wherein the preset rule is: the given frequency domain bandwidth The longer the number of time domain symbols occupied by the control resource set, the larger the resource element group binding size;
  • the third determining module of the resource element group binding size in the frequency domain is configured to determine the resource element group binding size in the frequency domain according to the resource element group binding size and the time domain symbol number.
  • the precoding granularity is determined according to the resource element group binding size in the frequency domain, which may be specifically:
  • the resource element group binding size in the frequency domain is determined as precoding granularity.
  • the number of consecutive resource blocks RB in the frequency domain of the CORESET may be specifically determined as precoding particles. degree.
  • the foregoing apparatus further includes:
  • a second MIB receiving module configured to receive a primary information block MIB sent by the network device, where the MIB includes network configuration information, where the network configuration information is used to indicate a binding size of the resource element group according to the frequency domain, or the network configuration information is used to indicate the basis
  • the number of consecutive resource blocks RB in the frequency domain of CORESET determines the precoding granularity.
  • the apparatus for performing channel estimation by using the precoding granularity of the control resource set provided by the foregoing embodiment can implement the foregoing various processes in the method for performing channel estimation by using the precoding granularity of the control resource set, and can achieve the same technical effect. To avoid repetition, we will not repeat them here.
  • the embodiment of the present application further provides an apparatus for performing channel estimation by using a precoding granularity of a control resource set, which is applied to a network device, where the control resource set is configured by using a non-radio resource control RRC mode, as shown in FIG.
  • the information determining module 801 is configured to determine network configuration information, where the network configuration information is used to indicate that the terminal device determines the precoding granularity according to a resource element group binding size in a frequency domain, or the network configuration information is used to indicate the terminal.
  • the device determines the precoding granularity according to the number of consecutive resource blocks RBs in the frequency domain of the CORESET, so that the terminal device determines the precoding granularity and performs channel estimation.
  • the method further includes:
  • the MIB sending module is configured to send a primary information block MIB to the terminal device, where the primary information block MIB includes the network configuration information.
  • the network configuration information is used to indicate that the terminal device determines the precoding granularity according to a resource element group binding size in a frequency domain
  • the MIB further includes first indication information, where the first The indication information is used to indicate the resource element group binding size and the number of time domain symbols occupied by the CORESET.
  • the embodiment of the present application further provides a terminal device, including: a memory, a processor, and a computer program stored on the memory and operable on the processor, where the computer program is executed by the processor to implement the precoding granularity of the above control resource set.
  • a terminal device including: a memory, a processor, and a computer program stored on the memory and operable on the processor, where the computer program is executed by the processor to implement the precoding granularity of the above control resource set.
  • FIG. 5 is a schematic structural diagram of a terminal device according to another embodiment of the present invention.
  • the terminal device 200 includes: at least one processor 210, a memory 220, at least one network interface 230, and a user interface. 240.
  • the various components in the sink device 200 are coupled together by a bus system 250.
  • bus system 250 is used to implement connection communication between these components.
  • the bus system 250 includes, in addition to the data bus, a power bus, a control bus, and a status signal bus. However, for clarity of description, various buses are labeled as bus system 250 in FIG.
  • the user interface 240 may include a display, a keyboard, or a pointing device (eg, a mouse, a trackball, a touchpad, or a touch screen, etc.).
  • a pointing device eg, a mouse, a trackball, a touchpad, or a touch screen, etc.
  • the memory 220 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 (PROM), an erasable programmable read only memory (Erasable PROM, EPROM), or an electric Erase programmable read only memory (EEPROM) or flash memory.
  • the volatile memory can be a Random Access Memory (RAM) that acts as an external cache.
  • 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 Dynamic Random Access Memory
  • DDRSDRAM Double Data Rate Synchronous Dynamic Random Access Memory
  • ESDRAM Enhanced Synchronous Dynamic Random Access Memory
  • SDRAM Synchronous Connection Dynamic Random Access Memory
  • DRRAM direct memory bus random access memory
  • memory 220 stores elements, executable modules or data structures, or a subset thereof, or their extended set: operating system 221 and application 222.
  • the operating system 221 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks.
  • the application 222 includes various applications, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services.
  • a program implementing the method of the embodiment of the present invention may be included in the application 222.
  • the terminal device 200 further includes: a computer program stored on the memory 220 and executable on the processor 210, and the computer program is executed by the processor 210 to implement various processes of the foregoing methods 700 and 800, and To achieve the same technical effect, to avoid repetition, we will not repeat them here.
  • Processor 210 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the foregoing method may be completed by an integrated logic circuit of hardware in the processor 210 or an instruction in a form of software.
  • the processor 210 may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a Field Programmable Gate Array (FPGA), or the like. Programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA Field Programmable Gate Array
  • 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 modules can be located in a conventional computer readable storage medium of the art, such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like.
  • the computer readable storage medium is located in the memory 220, and the processor 210 reads the information in the memory 220 and, in conjunction with its hardware, performs the steps of the above method.
  • the computer readable storage medium stores a computer program - a program for channel estimation by using a precoding granularity of a control resource set, the computer program being executed by the processor 210 to implement a precoding granularity using the control resource set as described above.
  • the application further provides a network device, comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor, the program for channel estimation by using a precoding granularity of the control resource set, the computer program being The steps of the method for performing channel estimation using the precoding granularity of the control resource set in the foregoing embodiment are implemented when the processor executes.
  • FIG. 6 is a schematic structural diagram of a network device according to an embodiment of the present invention.
  • network device 100 includes a processor 110, a transceiver 120, a memory 130, and a bus interface. among them:
  • the network device 100 further includes: a computer program stored on the memory 130 and operable on the processor 110, the computer program being implemented by the processor 110 to implement each of the above methods Process, and can achieve the same technical effect, in order to avoid duplication, no longer repeat here.
  • the bus architecture may include any number of interconnected buses and bridges, specifically linked by one or more processors represented by processor 110 and various circuits of memory represented by memory 130.
  • the bus architecture can also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and, therefore, will not be further described herein.
  • the bus interface provides an interface.
  • Transceiver 120 can be a plurality of components, including a transmitter and a receiver, providing means for communicating with various other devices on a transmission medium.
  • the processor 110 is responsible for managing the bus architecture and general processing, and the memory 130 can store data used by the processor 110 in performing operations.
  • the embodiments described in the embodiments of the present invention may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof.
  • the processing unit can be implemented in one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processing (DSP), Digital Signal Processing Equipment (DSP Device, DSPD), programmable Programmable Logic Device (PLD), Field-Programmable Gate Array (FPGA), general purpose processor, controller, microcontroller, microprocessor, other for performing the functions described herein In an electronic unit or a combination thereof.
  • ASICs Application Specific Integrated Circuits
  • DSP Digital Signal Processing
  • DSP Device Digital Signal Processing Equipment
  • PLD programmable Programmable Logic Device
  • FPGA Field-Programmable Gate Array
  • the technology described in the embodiments of the present invention may be implemented by a module (for example, a process, a function, and the like) that performs the functions described in the embodiments of the present invention.
  • the software code can be stored in memory and executed by the processor.
  • the memory can be implemented in the processor or external to the processor.
  • the embodiment of the present application further provides a computer readable storage medium.
  • the computer readable storage medium stores a computer program. When the computer program is executed by the processor, each process of the foregoing method is implemented, and the same technical effect can be achieved, to avoid Repeat, no longer repeat them here.
  • the computer readable storage medium such as a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
  • Embodiments of the present invention also provide a computer program product comprising instructions for performing a channel estimation method of the above method embodiment when the computer runs the instructions of the computer program product.
  • the computer program product can run on the network device and the terminal device.
  • 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 objectives of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention 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 functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product.
  • the technical solution of the present invention which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including
  • the instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

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Abstract

本申请公开了一种利用控制资源集的预编码粒度进行信道估计的方法，应用于终端设备，控制资源集采用非无线资源控制RRC方式配置，其中，包括：根据多种确定方式中的一种确定方式，确定预编码颗粒度；根据预编码颗粒度，进行信道估计；其中，多种确定方式包括：依据频域内的资源元素组绑定大小确定预编码颗粒度，依据CORESET中频域上连续的资源块RB的数量确定预编码颗粒度，以及依据网络配置信息确定预编码颗粒度。本申请能够确定非RRC方式配置的控制资源集的预编码颗粒度，使得终端设备在RRC连接建立之前能够确定预编码颗粒度，以进行信道估计。

Description

利用控制资源集的预编码粒度进行信道估计的方法和设备 技术领域
本申请涉及通信技术领域，尤其涉及一种利用控制资源集的预编码粒度进行信道估计的方法和设备。
背景技术
在未来的无线通信系统(例如5G NR)中，物理下行控制信道PDCCH(全称Physical Downlink Control Channel，)采用频域预编码循环(precoder cycling)的传输分集方案。
对于无线资源控制RRC(全称Radio Resource Control)配置的控制资源集CORESET(全称Control Resource Set)而言，预编码颗粒度可以通过RRC方式配置。但是，例如剩余最小系统信息控制资源集RMSI CORESET(全称Remaining minimum system information CORESET，也就是调度传输剩余最小系统信息RMSI的物理下行共享信道PDSCH的PDCCH所在CORESET)这种非RRC方式配置的控制资源集CORESET，是在RRC连接之前发送的，也就是说，在发送RMSI CORESET时，用户设备UE(全称User Equipment)还未收到网络设备下发的RRC消息。
因此，为保证终端设备能够正确的接收和解调网络设备下发的信息，亟待一种确定非RRC方式配置的控制资源集的预编码颗粒度的方法，以便终端设备在RRC连接建立之前能够确定预编码颗粒度，进行信道估计。
发明内容
本申请实施例提供一种利用控制资源集的预编码粒度进行信道估计的方法和设备，以便确定非RRC方式配置的控制资源集的预编码颗粒度，使得终端设备在RRC连接建立之前能够确定预编码颗粒度，以便进行信道估计。
本申请实施例采用下述技术方案：
第一方面，提供了一种利用控制资源集的预编码粒度进行信道估计的方法，应用于终端设备，所述控制资源集采用非无线资源控制RRC方式配置，包括：
根据多种确定方式中的一种确定方式，确定预编码颗粒度；
根据所述预编码颗粒度，进行信道估计；
其中，所述多种确定方式包括：依据频域内的资源元素组绑定大小确定所述预编码颗粒度，依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以及依据网络配置信息确定所述预编码颗粒度。
第二方面，提供了一种利用控制资源集的预编码粒度进行信道估计的方法，应用于网络设备，包括：
确定网络配置信息，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，或所述网络配置信息用于指示终端设备依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以便所述终端设备确定预编码颗粒度后进行信道估计。
第三方面，提供了一种利用控制资源集的预编码粒度进行信道估计的装置，应用于终端设备，所述控制资源集采用非无线资源控制RRC方式配置，包括：
预编码颗粒度确定模块，用于根据多种确定方式中的一种确定方式，确定预编码颗粒度；
信道估计模块，用于根据所述预编码颗粒度，进行信道估计；
其中，所述多种确定方式包括：依据频域内的资源元素组绑定大小确定所述预编码颗粒度，依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以及依据网络配置信息确定所述预编码颗粒度。
第四方面，提供一种利用控制资源集的预编码粒度进行信道估计的装置，应用于网络设备，所述控制资源集采用非无线资源控制RRC方式配置，包括：
信息确定模块，用于确定网络配置信息，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，或所述网络配 置信息用于指示终端设备依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以便所述终端设备确定预编码颗粒度后进行信道估计。
第五方面，提供一种终端设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如第一方面所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
第六方面，提供一种网络设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如第二方面所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
第七方面，提供一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如第一方面所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
第八方面，提供一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如第二方面所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
本申请实施例，针对采用非无线资源控制RRC方式配置的控制资源集，从多种用于确定预编码颗粒度的方法中确定出确定方式，进而确定出控制资源集CORESET的预编码颗粒度，从而使得终端设备在RRC连接建立之前能够确定预编码颗粒度，可以进行信道估计。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是根据本申请实施例信道估计方法的一种示意性流程图；
图2是根据本申请实施例信道估计方法的第二种示意性流程图；
图3是根据本申请实施例信道估计方法的第三种示意性流程图；
图4是根据本申请实施例信道估计装置的一种示意性结构图；
图5是根据本申请实施例的终端设备的结构示意图；
图6是根据本申请实施例的网络设备的结构示意图；
图7是根据本申请实施例信道估计装置的又一种示意性结构图。
具体实施方式
为了使本技术领域的人员更好地理解本申请中的技术方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都应当属于本申请保护的范围。权利要求以及说明书中的“和/或”表示所连接对象的至少其中之一。
应理解，本申请实施例的技术方案可以应用于5G系统，或者说新无线(New Radio,NR)系统。
在本申请实施例中，终端设备可以包括但不限于移动台(Mobile Station，MS)、移动终端(Mobile Terminal)、移动电话(Mobile Telephone)、用户设备(User Equipment，UE)、手机(handset)及便携设备(portable equipment)、车辆(vehicle)等，该终端设备可以经无线接入网(Radio Access Network，RAN)与一个或多个核心网进行通信，例如，终端设备可以是移动电话(或称为“蜂窝”电话)、具有无线通信功能的计算机等，终端设备还可以是便携式、袖珍式、手持式、计算机内置的或者车载的移动装置。
本申请实施例所涉及到的网络设备是一种部署在无线接入网中用以为终端设备提供无线通信功能的装置。所述网络设备可以为基站，所述基站可以包括各种形式的宏基站，微基站，中继站，接入点等。在采用不同的无线接入技术的系统中，具有基站功能的设备的名称可能会有所不同。例如在LTE网络中， 称为演进的节点B(Evolved NodeB，eNB或eNodeB)，在第三代(3rd Generation，3G)网络中，称为节点B(Node B)等等。
本申请实施例针对采用非无线资源控制RRC方式配置的控制资源集CORESET，给出了确定预编码颗粒度的方案。典型的非无线资源控制RRC方式包括：剩余最小系统信息RMSI(全称Remaining minimum system information)。循环预编码precoder cycling是NR PDCCH的传输分集方案。循环预编码，即以一定的颗粒度，每个颗粒度中采用相同的预编码方式，不同的颗粒度采用不同的预编码方式，即预编码方案在频域上以某种方式循环变化，这样可以获得一定的编码增益。终端设备需要知道PDCCH预编码的颗粒度，因为在接收端进行信道估计时，需要知道哪些PRB上使用的是相同的预编码方式，哪些是不同的编码方式。
本申请的一个实施例提供了一种利用控制资源集的预编码粒度进行信道估计的方法，可应用于终端设备，控制资源集采用非无线资源控制RRC方式配置，参见图1所示，可包括：
S101：根据多种确定方式中的一种确定方式，确定预编码颗粒度；
S103：根据预编码颗粒度，进行信道估计；
其中，多种确定方式包括：依据频域内的资源元素组绑定大小确定预编码颗粒度，依据CORESET中频域上连续的资源块RB的数量确定预编码颗粒度，以及依据网络配置信息确定预编码颗粒度。
本申请实施例，针对采用非无线资源控制RRC方式配置的控制资源集，从多种用于确定预编码颗粒度的方法中确定出确定方式，进而确定出控制资源集CORESET的预编码颗粒度，从而使得终端设备在RRC连接建立之前能够确定预编码颗粒度，能够进行信道估计。
在一种优选实施例中，确定方式为依据频域内的资源元素组绑定大小(又可作REG bundle size in frequency domain，全称ResourceElement Group bundle size in frequency domain)，确定预编码颗粒度。
进一步地，参见图2所示，为实现上述确定方式，使得终端设备能够根据 频域内的资源元素组绑定大小，确定预编码颗粒度，本申请实施例的方法还包括：
S105：接收网络设备发送的主信息块MIB，MIB中包括第一指示信息，第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数，
S107：依据第一指示信息指示的资源元素组绑定大小和CORESET占用的时域符号数，确定频域内的资源元素组绑定大小。
进而可以执行步骤S1031，根据频域内的资源元素组绑定大小，确定预编码颗粒度。
在具体实施时，主信息块MIB会向用户设备UE发送指示信息，用以指示的资源元素组绑定大小REG bundle size和控制资源集持续时间CORESET duration(表征为控制资源集CORESET占用的时域符号数)。用户设备UE根据REG bundle size和CORESET duration可以得到频域内的资源元素组绑定大小，具体计算方式为二者相除，即REG bundle size/CORESET duration，例如，6/2＝3(计算得到的频域内的资源元素组绑定大小为3)。
另外，为实现上述确定方式，使得终端设备能够根据频域内的资源元素组绑定大小，确定预编码颗粒度，本申请实施例的方法也可以包括：
依据协议预设的资源元素组绑定大小，确定频域内的资源元素组绑定大小。
除此之外，参见图3所示，为实现上述确定方式，使得终端设备能够根据频域内的资源元素组绑定大小，确定预编码颗粒度，本申请实施例的方法也可以包括：
S109：依据控制资源集占用的频域带宽和时域符号数以及预设规则，确定资源元素组绑定大小；其中，预设规则为：给定频域带宽下，控制资源集占用的时域符号数越长，资源元素组绑定大小越大；
S111：依据资源元素组绑定大小和时域符号数，确定频域内的资源元素组绑定大小。
进而可以执行步骤S1031，根据频域内的资源元素组绑定大小，确定预编 码颗粒度。
以下进一步举例详细说明确定频域内的资源元素组绑定大小的过程。
例如，对于给定时域符号数的RMSI CORESET，频域带宽较大时，采用较大的bundle size(例如，6个REG)；反之，频域带宽较小时，采用较小的bundle size(例如，2个REG)。
其中，对RMSI CORESET的频域带宽“较大”或“较小”的判断，对于不同符号长度的CORSERT而言，判断门限可能不同。这是因为对于不同符号长度的CORESET，相同的REG bundle size(由于资源元素组绑定大小这一概念是在时频域上定义的，因此，本申请实施例中所说的REG bundle size，即指时频域上的资源元素组绑定大小，除非特别说明为频域上的REG bundle size)，在频域方向上的REG bundle size是不一样的。例如，对于1个符号长度的CORESET，REG bundle size＝6，则频域内的bundle size也是6；而对于3个符号长度的CORESET，REG bundle size＝6，则频域内的bundle size只等于6/3＝2。因此，在相同频域带宽的情况下，时域符号数越长，其CORESET的bundle size越大。
进一步举例，对于1个符号长度的CORESET，聚合等级AL＝4(24个REG)可以认为频域带宽较大；对于2个符号的CORESET，AL＝8(48个REG)可以认为是频域带宽较大；对于3个符号的CORESET，AL＝16(96个REG)可以认为是频域带宽较大。
在NR标准化中，具体实施时，对于RRC配置的CORESET，只支持CORESET duration＝1/2/3OFDM symbol(OFDM符号数)；对于多个符号的CORESET，bundle size可以等于时域符号长度或6(6是2、3的倍数)。而对于初始接入过程中的RMSI CORESET，有可能会打破这种限制，支持4个符号长度的CORESET，bundle size＝6而不是4的整数倍，可以只支持bundle size＝4或configurable between 4和8。
在以上阐述的实施例中，在采用各种优选实施例确定频域内的资源元素组绑定大小之后，执行步骤S1031时，可以直接将频域内的资源元素组绑定大小 确定为预编码颗粒度，从而达到本申请的技术目的。
在另一种优选实施例中，确定方式为依据CORESET中频域上连续的资源块RB的数量，确定预编码颗粒度。
更进一步地，可以直接将CORESET中频域上连续的资源块RB的数量确定为预编码颗粒度。
在又一种优选实施例中，确定方式为依据网络配置信息确定预编码颗粒度，则上述方法还包括：
接收网络设备发送的主信息块MIB，MIB中包括网络配置信息，网络配置信息用于指示依据频域内的资源元素组绑定大小确定预编码颗粒度，或网络配置信息用于指示依据CORESET中频域上连续的资源块RB的数量确定预编码颗粒度。
在这一优选实施例中，允许网络设备在主信息块MIB中加入用于指示确定方式的网络配置信息。用户设备UE在接收到指示信息后，按照主信息块MIB中的配置确定方式。更具体地，可以在以上示例的确定方式中进行选择。
本申请实施例还提供了一种利用控制资源集的预编码粒度进行信道估计的方法，应用于网络设备，包括：
确定网络配置信息，网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定预编码颗粒度，或网络配置信息用于指示终端设备依据CORESET中频域上连续的资源块RB的数量确定预编码颗粒度，以便终端设备确定预编码颗粒度后进行信道估计。
优选地，上述方法还包括：向终端设备发送主信息块MIB，主信息块MIB中包括网络配置信息。
优选地，当网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定预编码颗粒度时，MIB中还包括第一指示信息，第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数。
参见图4所示，本申请实施例还提供了一种利用控制资源集的预编码粒度进行信道估计的装置，应用于终端设备，控制资源集采用非无线资源控制RRC 方式配置，包括：
预编码颗粒度确定模块101，用于根据多种确定方式中的一种确定方式，确定预编码颗粒度；
信道估计模块103，用于根据预编码颗粒度，进行信道估计；
其中，多种确定方式包括：依据频域内的资源元素组绑定大小确定预编码颗粒度，依据CORESET中频域上连续的资源块RB的数量确定预编码颗粒度，以及依据网络配置信息确定预编码颗粒度。
优选地，上述装置中，一种确定方式为依据频域内的资源元素组绑定大小，确定预编码颗粒度时，上述装置还包括：
第一MIB接收模块，用于接收网络设备发送的主信息块MIB，MIB中包括第一指示信息，第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数；
频域内资源元素组绑定大小第一确定模块，用于依据第一指示信息指示的资源元素组绑定大小和CORESET占用的时域符号数，确定频域内的资源元素组绑定大小。
优选地，当一种确定方式为依据频域内的资源元素组绑定大小，确定预编码颗粒度时，上述装置还包括：
频域内资源元素组绑定大小第二确定模块，用于依据协议预设的资源元素组绑定大小，确定频域内的资源元素组绑定大小。
优选地，当一种确定方式为依据频域内的资源元素组绑定大小，确定预编码颗粒度时，上述装置还包括：
资源元素组绑定大小确定模块，用于依据控制资源集占用的频域带宽和时域符号数以及预设规则，确定资源元素组绑定大小；其中，预设规则为：给定频域带宽下，控制资源集占用的时域符号数越长，资源元素组绑定大小越大；
频域内资源元素组绑定大小第三确定模块，用于依据资源元素组绑定大小和时域符号数，确定频域内的资源元素组绑定大小。
优选地，依据频域内的资源元素组绑定大小确定预编码颗粒度，可具体为：
将频域内的资源元素组绑定大小确定为预编码颗粒度。
优选地，当一种确定方式为依据CORESET中频域上连续的资源块RB的数量，确定预编码颗粒度时，可以具体地，将CORESET中频域上连续的资源块RB的数量确定为预编码颗粒度。
优选地，当一种确定方式为依据网络配置信息确定预编码颗粒度时，上述装置还包括：
第二MIB接收模块，用于接收网络设备发送的主信息块MIB，MIB中包括网络配置信息，网络配置信息用于指示依据频域内的资源元素组绑定大小，或网络配置信息用于指示依据CORESET中频域上连续的资源块RB的数量确定预编码颗粒度。
上述实施例提供的利用控制资源集的预编码粒度进行信道估计的装置能够实现前述利用控制资源集的预编码粒度进行信道估计的方法的实施例中的各个过程，并能达到相同的技术效果。为避免重复，这里不再赘述。
本申请实施例还提供一种利用控制资源集的预编码粒度进行信道估计的装置，应用于网络设备，所述控制资源集采用非无线资源控制RRC方式配置，，参见图7所示，包括：
信息确定模块801，用于确定网络配置信息，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，或所述网络配置信息用于指示终端设备依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以便所述终端设备确定预编码颗粒度后进行信道估计。
优选地，上述装置中，还包括：
MIB发送模块，用于向终端设备发送主信息块MIB，所述主信息块MIB中包括所述网络配置信息。
优选地，上述装置中，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，所述MIB中还包括第一指示信息，所述第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域 符号数。
本申请实施例还提供一种终端设备，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，计算机程序被处理器执行时实现以上利用控制资源集的预编码粒度进行信道估计的方法的实施例中的各步骤。
具体地，图5示出了根据本发明另一实施例的终端设备的结构示意图，如图5所示，终端设备200包括：至少一个处理器210、存储器220、至少一个网络接口230和用户接口240。接收端设备200中的各个组件通过总线系统250耦合在一起。可理解，总线系统250用于实现这些组件之间的连接通信。总线系统250除包括数据总线之外，还包括电源总线、控制总线和状态信号总线。但是为了清楚说明起见，在图5中将各种总线都标为总线系统250。
其中，用户接口240可以包括显示器、键盘或者点击设备(例如，鼠标，轨迹球(trackball)、触感板或者触摸屏等。
可以理解，本发明实施例中的存储器220可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本发明实施例描述的系统和方法的存储器220旨在包括但不限于这些和任意其它适合类型的存储器。
在一些实施方式中，存储器220存储了如下的元素，可执行模块或者数据 结构，或者他们的子集，或者他们的扩展集：操作系统221和应用程序222。
其中，操作系统221，包含各种系统程序，例如框架层、核心库层、驱动层等，用于实现各种基础业务以及处理基于硬件的任务。应用程序222，包含各种应用程序，例如媒体播放器(Media Player)、浏览器(Browser)等，用于实现各种应用业务。实现本发明实施例方法的程序可以包含在应用程序222中。
在本发明实施例中，终端设备200还包括：存储在存储器上220并可在处理器210上运行的计算机程序，计算机程序被处理器210执行时实现上述方法700和800的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
上述本发明实施例揭示的方法可以应用于处理器210中，或者由处理器210实现。处理器210可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器210中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器210可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本发明实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本发明实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的计算机可读存储介质中。该计算机可读存储介质位于存储器220，处理器210读取存储器220中的信息，结合其硬件完成上述方法的步骤。具体地，该计算机可读存储介质上存储有计算机程序——利用控制资源集的预编码粒度进行信道估计的程序，该计算机程序被处理器210执行时实现如上述利用控制资源集的预编码粒度进行信道估计的方法中的方法实施例的各步骤。
本申请还提供一种网络设备，包括：存储器、处理器及存储在存储器上并 可在处理器上运行的计算机程序——利用控制资源集的预编码粒度进行信道估计的程序，该计算机程序被处理器执行时实现前述实施例中利用控制资源集的预编码粒度进行信道估计的方法的步骤。
具体地，图6示出了根据本发明一实施例的网络设备的结构示意图。如图6所示，网络设备100包括处理器110、收发机120、存储器130和总线接口。其中：
在本发明实施例中，网络设备100还包括：存储在存储器130上并可在所述处理器110上运行的计算机程序，所述计算机程序被所述处理器110执行时实现上述方法中的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
在图6中，总线架构可以包括任意数量的互联的总线和桥，具体由处理器110代表的一个或多个处理器和存储器130代表的存储器的各种电路链接在一起。总线架构还可以将诸如外围设备、稳压器和功率管理电路等之类的各种其他电路链接在一起，这些都是本领域所公知的，因此，本文不再对其进行进一步描述。总线接口提供接口。收发机120可以是多个元件，即包括发送机和接收机，提供用于在传输介质上与各种其他装置通信的单元。
处理器110负责管理总线架构和通常的处理，存储器130可以存储处理器110在执行操作时所使用的数据。
可以理解的是，本发明实施例描述的这些实施例可以用硬件、软件、固件、中间件、微码或其组合来实现。对于硬件实现，处理单元可以实现在一个或多个专用集成电路(Application Specific Integrated Circuits，ASIC)、数字信号处理器(Digital Signal Processing，DSP)、数字信号处理设备(DSP Device，DSPD)、可编程逻辑设备(Programmable Logic Device，PLD)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)、通用处理器、控制器、微控制器、微处理器、用于执行本发明所述功能的其它电子单元或其组合中。
对于软件实现，可通过执行本发明实施例所述功能的模块(例如过程、函数等)来实现本发明实施例所述的技术。软件代码可存储在存储器中并通过处 理器执行。存储器可以在处理器中或在处理器外部实现。
本申请实施例还提供一种计算机可读存储介质，计算机可读存储介质上存储有计算机程序，该计算机程序被处理器执行时实现上述方法的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。其中，所述的计算机可读存储介质，如只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等。
本发明实施例还提供一种包括指令的计算机程序产品，当计算机运行所述计算机程序产品的所述指令时，所述计算机执行上述方法实施例的信道估计方法。具体地，该计算机程序产品可以运行于上述网络设备和终端设备上。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本发明所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部 单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应所述以权利要求的保护范围为准。

Claims (24)

  1. 一种利用控制资源集的预编码粒度进行信道估计的方法，应用于终端设备，所述控制资源集采用非无线资源控制RRC方式配置，其中，包括：
    根据多种确定方式中的一种确定方式，确定预编码颗粒度；
    根据所述预编码颗粒度，进行信道估计；
    其中，所述多种确定方式包括：依据频域内的资源元素组绑定大小确定所述预编码颗粒度，依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以及依据网络配置信息确定所述预编码颗粒度。
  2. 根据权利要求1所述的方法，其中，一种确定方式为：依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，所述方法还包括：
    接收网络设备发送的主信息块MIB，所述MIB中包括第一指示信息，所述第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数，
    依据所述第一指示信息指示的资源元素组绑定大小和所述CORESET占用的时域符号数，确定所述频域内的资源元素组绑定大小。
  3. 根据权利要求1所述的方法，其中，一种确定方式为：依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，所述方法还包括：
    依据协议预设的资源元素组绑定大小，确定所述频域内的资源元素组绑定大小。
  4. 根据权利要求1所述的方法，其中，一种确定方式为：依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，所述方法还包括：
    依据所述控制资源集占用的频域带宽和时域符号数以及预设规则，确定资源元素组绑定大小；
    依据所述资源元素组绑定大小和所述时域符号数，确定所述频域内的资源元素组绑定大小；
    其中，所述预设规则为：给定所述频域带宽下，控制资源集占用的时域符 号数越长，所述资源元素组绑定大小越大。
  5. 根据权利要求2至4中任一项所述的方法，其中，所述依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，包括：
    将所述频域内的资源元素组绑定大小确定为所述预编码颗粒度。
  6. 根据权利要求1所述的方法，其中，一种确定方式为：依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度；所述依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，包括：
    将所述CORESET中频域上连续的资源块RB的数量确定为所述预编码颗粒度。
  7. 根据权利要求1所述的方法，其中，一种确定方式为：依据网络配置信息确定所述预编码颗粒度，所述方法还包括：
    接收网络设备发送的主信息块MIB，所述MIB中包括所述网络配置信息，所述网络配置信息用于指示依据频域内的资源元素组绑定大小确定所述预编码颗粒度，或所述网络配置信息用于指示依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度。
  8. 一种利用控制资源集的预编码粒度进行信道估计的方法，应用于网络设备，所述控制资源集采用非无线资源控制RRC方式配置，其中，包括：
    确定网络配置信息，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，或所述网络配置信息用于指示终端设备依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以便所述终端设备确定预编码颗粒度后进行信道估计。
  9. 根据权利要求8所述的方法，其中，
    向终端设备发送主信息块MIB，所述主信息块MIB中包括所述网络配置信息。
  10. 根据权利要求9所述的方法，其中，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，所述MIB中 还包括第一指示信息，所述第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数。
  11. 一种利用控制资源集的预编码粒度进行信道估计的装置，应用于终端设备，所述控制资源集采用非无线资源控制RRC方式配置，其中，包括：
    预编码颗粒度确定模块，用于根据多种确定方式中的一种确定方式，确定预编码颗粒度；
    信道估计模块，用于根据所述预编码颗粒度，进行信道估计；
    其中，所述多种确定方式包括：依据频域内的资源元素组绑定大小确定所述预编码颗粒度，依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以及依据网络配置信息确定所述预编码颗粒度。
  12. 根据权利要求11所述的装置，其中，一种确定方式为：依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，所述装置还包括：
    第一MIB接收模块，用于接收网络设备发送的主信息块MIB，所述MIB中包括第一指示信息，所述第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数；
    频域内资源元素组绑定大小第一确定模块，用于依据所述第一指示信息指示的资源元素组绑定大小和所述CORESET占用的时域符号数，确定所述频域内的资源元素组绑定大小。
  13. 根据权利要求11所述的装置，其中，一种确定方式为：依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，所述装置还包括：
    频域内资源元素组绑定大小第二确定模块，用于依据协议预设的资源元素组绑定大小，确定所述频域内的资源元素组绑定大小。
  14. 根据权利要求11所述的装置，其中，一种确定方式为：依据频域内的资源元素组绑定大小，确定所述预编码颗粒度，所述装置还包括：
    资源元素组绑定大小确定模块，用于依据所述控制资源集占用的频域带宽和时域符号数以及预设规则，确定资源元素组绑定大小；其中，所述预设规则为：给定所述频域带宽下，控制资源集占用的时域符号数越长，所述资源元素 组绑定大小越大；
    频域内资源元素组绑定大小第三确定模块，用于依据所述资源元素组绑定大小和所述时域符号数，确定所述频域内的资源元素组绑定大小。
  15. 根据权利要求12至14中任一项所述的装置，其中，依据频域内的资源元素组绑定大小确定所述预编码颗粒度，具体为：
    将所述频域内的资源元素组绑定大小确定为所述预编码颗粒度。
  16. 根据权利要求11所述的装置，其中，一种确定方式为：依据所述CORESET中频域上连续的资源块RB的数量，确定所述预编码颗粒度；
    依据所述CORESET中频域上连续的资源块RB的数量，确定所述预编码颗粒度，具体为：
    将所述CORESET中频域上连续的资源块RB的数量确定为所述预编码颗粒度。
  17. 根据权利要求11所述的装置，其中，一种确定方式为：依据网络配置信息确定所述预编码颗粒度，所述装置还包括：
    第二MIB接收模块，用于接收网络设备发送的主信息块MIB，所述MIB中包括网络配置信息，所述网络配置信息用于指示依据频域内的资源元素组绑定大小，或所述网络配置信息用于指示依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度。
  18. 一种利用控制资源集的预编码粒度进行信道估计的装置，应用于网络设备，所述控制资源集采用非无线资源控制RRC方式配置，其中，包括：
    信息确定模块，用于确定网络配置信息，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，或所述网络配置信息用于指示终端设备依据所述CORESET中频域上连续的资源块RB的数量确定所述预编码颗粒度，以便所述终端设备确定预编码颗粒度后进行信道估计。
  19. 根据权利要求18所述的装置，其中，所述装置还包括：
    MIB发送模块，用于向终端设备发送主信息块MIB，所述主信息块MIB 中包括所述网络配置信息。
  20. 根据权利要求19所述的装置，其中，所述网络配置信息用于指示终端设备依据频域内的资源元素组绑定大小确定所述预编码颗粒度，所述MIB中还包括第一指示信息，所述第一指示信息用于指示资源元素组绑定大小和CORESET占用的时域符号数。
  21. 一种终端设备，其中，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如权利要求1至7中任一项所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
  22. 一种网络设备，其中，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时实现如权利要求8至10中任一项所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
  23. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
  24. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求8至10中任一项所述的利用控制资源集的预编码粒度进行信道估计的方法的步骤。
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111786916A (zh) * 2020-06-04 2020-10-16 Oppo广东移动通信有限公司 信道估计方法及装置、终端、存储介质
WO2021159232A1 (en) * 2020-02-10 2021-08-19 Qualcomm Incorporated Control resource set precoding indication

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112399586A (zh) * 2019-08-16 2021-02-23 华为技术有限公司 配置时域资源的方法和装置
CN112953608A (zh) * 2019-12-11 2021-06-11 中兴通讯股份有限公司 一种信号的发送、处理方法及装置
WO2021189213A1 (zh) * 2020-03-23 2021-09-30 华为技术有限公司 一种控制信息的发送、接收方法及装置
CN116941210A (zh) * 2022-02-17 2023-10-24 北京小米移动软件有限公司 信息处理方法、装置、通信设备及存储介质
CN118413417A (zh) * 2023-01-29 2024-07-30 维沃移动通信有限公司 信道估计方法、装置、终端及可读存储介质

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011020235A1 (zh) * 2009-08-17 2011-02-24 上海贝尔股份有限公司 在通信网络中用于保持预编码信道相干性的方法及装置
WO2016164099A1 (en) * 2015-04-09 2016-10-13 Intel IP Corporation Methods, apparatuses, and systems for enhancement of evolved physical downlink control channel for machine type communications

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102958183B (zh) * 2011-08-18 2015-09-09 华为技术有限公司 传输增强下行控制信道的方法、设备和系统
CN108633061B9 (zh) * 2017-03-25 2023-09-29 中兴通讯股份有限公司 传输参数确定方法及装置
WO2018205259A1 (en) * 2017-05-12 2018-11-15 Qualcomm Incorporated Precoder resource group allocation methods for mimo communication

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011020235A1 (zh) * 2009-08-17 2011-02-24 上海贝尔股份有限公司 在通信网络中用于保持预编码信道相干性的方法及装置
WO2016164099A1 (en) * 2015-04-09 2016-10-13 Intel IP Corporation Methods, apparatuses, and systems for enhancement of evolved physical downlink control channel for machine type communications

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
NOKIA ET AL.: "Evaluation of intereaved CCE-to-REG mapping schemes for DL control channel", 3GPP TSG RAN WG1#89, R1-1708499, 6 May 2017 (2017-05-06), XP051262498 *
NOKIA ET AL.: "Remaining details of PDCCH construction", 3GPP TSG RAN WG1 MEETING NR#3, R1-1715748, XP051329273 *
OPPO: "On NR PDCCH structure design", 3GPP TSG RAN WG1 MEETING #90BIS, R1-1718042, 30 September 2017 (2017-09-30), XP051341224 *
See also references of EP3694272A4 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021159232A1 (en) * 2020-02-10 2021-08-19 Qualcomm Incorporated Control resource set precoding indication
CN111786916A (zh) * 2020-06-04 2020-10-16 Oppo广东移动通信有限公司 信道估计方法及装置、终端、存储介质
CN111786916B (zh) * 2020-06-04 2022-12-20 Oppo广东移动通信有限公司 信道估计方法及装置、终端、存储介质

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