WO2018196599A1 - 一种数据传输方法和设备 - Google Patents

一种数据传输方法和设备 Download PDF

Info

Publication number
WO2018196599A1
WO2018196599A1 PCT/CN2018/082459 CN2018082459W WO2018196599A1 WO 2018196599 A1 WO2018196599 A1 WO 2018196599A1 CN 2018082459 W CN2018082459 W CN 2018082459W WO 2018196599 A1 WO2018196599 A1 WO 2018196599A1
Authority
WO
WIPO (PCT)
Prior art keywords
optimal
wide
user equipment
value
base station
Prior art date
Application number
PCT/CN2018/082459
Other languages
English (en)
French (fr)
Inventor
刘文东
王昭诚
徐凯
庄宏成
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from CN201710360778.7A external-priority patent/CN108738148B/zh
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2018196599A1 publication Critical patent/WO2018196599A1/zh

Links

Images

Classifications

    • 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 wireless communications technologies, and in particular, to a data transmission method and device.
  • a new air interface (NR) between a base station (TPR) and a user equipment (User Equipment, UE) supports a signal bandwidth and a short wavelength, which is advantageous for realizing a large-scale antenna array.
  • the millimeter wave high frequency band but the millimeter wave high frequency band has the disadvantages of high path loss, low signal receiving power and poor coverage performance.
  • the base station and the terminal form multiple A narrower directional beam is used for signal transmission, wherein each beam covers a certain spatial extent.
  • the TRP and the UE are both equipped with multiple antennas to support multiple beam transmission scenarios.
  • the TRP selects an optimal transmit beam from multiple transmit beams, and the UE selects from multiple receive beams.
  • the optimal receive beam is such that the TRP matches the UE beam pair and the UE has the strongest received power.
  • the present application provides a data transmission method and device, which can reduce the training time overhead of the TRP and the UE, reduce the initial access delay, and improve the spectrum efficiency of the system while maintaining the data transmission quality.
  • the present application provides a data transmission method, where the method includes: the base station sends a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow a beam, the beam training is used by the user equipment to determine a value of the reception quality of the first set number of wide beams; and the base station receives the sequence number of the optimal narrow beam sent by the user equipment.
  • the base station sends the first set number of wide beams to the user equipment, and the user equipment performs beam scanning and beam training on the first set number of wide beams, and the base station receives the user equipment according to the beam training.
  • the value of the reception quality of the first set number of wide beams determines the optimal narrow beam, which reduces the training time overhead and the access delay.
  • the method further includes: the base station transmitting, by using the optimal narrow beam corresponding to the sequence number, the user equipment Send downlink data.
  • the data transmission is performed by using the optimal narrow beam in the optimal wide beam, thereby improving the service quality of data transmission during beamforming, that is, improving the spectrum efficiency of the system.
  • the present application provides a data transmission method, the method includes: receiving, by a user equipment, a first set number of wide beams sent by a base station, where each wide beam includes a second set number of narrow beams
  • the user equipment performs beam training on the first set number of wide beams, and determines a value of the reception quality corresponding to the first set number of wide beams respectively; the user equipment is configured according to the first Determining an optimal narrow beam by determining a value of the received quality corresponding to the plurality of wide beams; and the user equipment sends the sequence number of the optimal narrow beam to the base station.
  • the user equipment receives the first set number of wide beams sent by the base station, and the user equipment performs beam scanning and beam training on the first set number of wide beams, and determines the first setting according to the beam training.
  • the value of the received quality of a fixed number of wide beams determines the optimal narrow beam, reducing training time overhead and access delay.
  • each user equipment selects the corresponding optimal narrow beam according to the above process, and does not affect each other, thereby improving the service quality of data transmission of the multi-user equipment scenario.
  • the method further includes:
  • the user equipment receives downlink data that is sent by the base station by using an optimal narrow beam corresponding to the sequence number.
  • the data transmission is performed by using the optimal narrow beam in the optimal wide beam, thereby improving the service quality of data transmission during beamforming, that is, improving the spectrum efficiency of the system.
  • the user equipment determines an optimal narrow beam according to the value of the received quality corresponding to the first set number of wide beams, including:
  • the user equipment determines an optimal narrow beam in the narrow beam included by the optimal wide beam by using the log likelihood ratio, including:
  • the user equipment searches for the narrow beam identification information corresponding to the log likelihood ratio in the mapping table corresponding to the optimal wide beam set by using the log likelihood ratio, and the found identifier is obtained by using the log likelihood ratio A narrow beam corresponding to the information is used as the optimal narrow beam.
  • the present application provides a data transmission method, where the method includes: the base station sends a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow a beam, the beam training is used by the user equipment to determine a value of the reception quality of the first set number of wide beams; the base station receives the sequence number of the optimal wide beam sent by the user equipment, and passes the first Setting a log likelihood ratio of the optimal wide beam determined by a value of a received quality of the wide beam; the base station is based on a sequence number of the optimal wide beam and a logarithm of the optimal wide beam The ratio is determined by the sequence number of the optimal narrow beam.
  • the base station sends the first set number of wide beams to the user equipment, and the user equipment performs beam scanning and beam training on the first set number of wide beams, and the base station receives the user equipment according to the beam training. Determining a log likelihood ratio of the optimal wide beam determined by the value of the received quality of the first wide number of beams, and determining the log likelihood ratio of the optimal wide beam and the log likelihood ratio of the optimal wide beam The sequence number of the optimal narrow beam is reduced, which reduces the training time overhead and access delay.
  • the method further includes:
  • the base station sends downlink data to the user equipment by using an optimal narrow beam corresponding to the sequence number.
  • the base station determines the sequence number of the optimal narrow beam according to the sequence number of the optimal wide beam and the log likelihood ratio of the optimal wide beam, including:
  • the base station Searching, by the base station, the log likelihood ratio of the optimal wide beam, the narrow beam identification information corresponding to the log likelihood ratio in the mapping table corresponding to the optimal wide beam set in advance, and searching for The narrow beam identification information is used as the sequence number of the optimal narrow beam.
  • the mapping table corresponding to the optimal wide beam set in advance is stored on the base station side, which saves storage resources on the user equipment side, and reduces implementation complexity and computing power consumption of the user equipment.
  • the present application provides a data transmission method, the method includes: receiving, by a user equipment, a first set number of wide beams sent by a base station, where each wide beam includes a second set number of narrow beams
  • the user equipment performs beam training on the first set number of wide beams, and determines a value of the reception quality corresponding to the first set number of wide beams respectively; the user equipment is configured according to the first Determining a value of the received quality corresponding to the plurality of wide beams, determining an optimal wide beam, and a log likelihood ratio of the optimal wide beam; the user equipment numbers the optimal wide beam and the The log likelihood ratio of the optimal wide beam is sent to the base station.
  • the method further includes:
  • the user equipment receives downlink data that is sent by the base station through an optimal narrow beam.
  • the user equipment determines, according to the value of the received quality corresponding to the first set number of wide beams, the optimal wide beam, and the log likelihood of the optimal wide beam. Ratio, including:
  • the present application provides a data transmission method, where the method includes: the base station sends a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow a beam, the beam training is used by the user equipment to determine a value of the received quality corresponding to the first set number of wide beams, and the base station receives the sequence number of the optimal wide beam sent by the user equipment, and the Setting a value of a reception quality corresponding to an optimal wide beam and a value of a reception quality of at least one sub-optimal wide beam among the values of the reception quality corresponding to the plurality of wide beams respectively; and the base station corresponding to the optimal wide beam a value of the received quality and a value of the received quality of the at least one sub-optimal wide beam determining a log likelihood ratio of the optimal wide beam; the base station according to the sequence number of the optimal wide beam and the optimal width The log likelihood ratio of the beam determines the sequence number of the optimal narrow beam.
  • the base station sends the first set number of wide beams to the user equipment, and the user equipment performs beam scanning and beam training on the first set number of wide beams, and the base station receives the user equipment according to the beam training.
  • the log likelihood ratio of the optimal wide beam determines the sequence number of the optimal narrow beam, which reduces training time overhead and access delay.
  • the log likelihood ratio of the optimal wide beam is calculated on the base station side, which saves the storage resources on the user equipment side, and reduces the implementation complexity and the calculation power
  • the method further includes:
  • the base station sends downlink data to the user equipment by using the optimal narrow beam.
  • the base station determines the sequence number of the optimal narrow beam according to the sequence number of the optimal wide beam and the log likelihood ratio of the optimal wide beam, including:
  • the base station searches for a narrow beam identification information corresponding to the log likelihood ratio in a mapping table corresponding to the optimal wide beam by using a log likelihood ratio of the optimal wide beam, and the discovered The narrow beam identification information is used as the sequence number of the optimal narrow beam.
  • the mapping table corresponding to the optimal wide beam set in advance is stored on the base station side, which saves storage resources on the user equipment side, and reduces implementation complexity and computing power consumption of the user equipment.
  • the present application provides a data transmission method, where the method includes: receiving, by a user equipment, a first set number of wide beams sent by a base station, where each wide beam includes a second set number of narrow
  • the user equipment performs beam training on the first set number of wide beams to determine a value of the reception quality corresponding to the first set number of wide beams respectively; the user equipment is according to the first Setting a value of the number of received qualities to determine an optimal wide beam; the user equipment optimally selecting a sequence number of the optimal wide beam and a value of a received quality corresponding to the first set number of wide beams respectively
  • the value of the reception quality corresponding to the wide beam and the value of the reception quality of the at least one sub-optimal wide beam are transmitted to the base station.
  • the user equipment sets the sequence number of the optimal wide beam and the received quality corresponding to the optimal wide beam among the values of the received quality corresponding to the first set number of wide beams respectively. After the value and the value of the received quality of the at least one sub-optimal wide beam are sent to the base station, the method further includes:
  • the user equipment receives downlink data that is sent by the base station through an optimal narrow beam.
  • the application provides a base station, where the base station includes: a sending unit, configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second setting a number of narrow beams, the beam training is used by the user equipment to determine a value of the received quality of the first set number of wide beams, and the receiving unit is configured to receive the sequence number of the optimal narrow beam sent by the user equipment.
  • a sending unit configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second setting a number of narrow beams, the beam training is used by the user equipment to determine a value of the received quality of the first set number of wide beams, and the receiving unit is configured to receive the sequence number of the optimal narrow beam sent by the user equipment.
  • the transmitting unit is further configured to
  • the application provides a user equipment, where the user equipment includes: a receiving unit, configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second setting a number of narrow beams; a processing unit, configured to perform beam training on the first set number of wide beams, and determine a value of a reception quality corresponding to the first set number of wide beams, and according to the And setting a value of the received quality corresponding to the plurality of wide beams to determine an optimal narrow beam; and sending, by the sending unit, the sequence number of the optimal narrow beam to the base station.
  • a receiving unit configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second setting a number of narrow beams
  • a processing unit configured to perform beam training on the first set number of wide beams, and determine a value of a reception quality corresponding to the first set number of wide beams, and according to the And setting a value of the received quality corresponding to the plurality of wide beams to
  • the receiving unit is further configured to:
  • the processing unit is specifically configured to:
  • the processing unit is specifically configured to:
  • the application provides a base station, where the base station includes: a sending unit, configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second setting a number of narrow beams, the beam training is used by the user equipment to determine a value of the reception quality of the first set number of wide beams; and the receiving unit is configured to receive the sequence number of the optimal wide beam sent by the user equipment, and a log likelihood ratio of the optimal wide beam determined by a value of a received quality of the first set number of wide beams; a processing unit configured to use the sequence number of the optimal wide beam and the most The log likelihood ratio of the excellent wide beam determines the sequence number of the optimal narrow beam.
  • a sending unit configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second setting a number of narrow beams, the beam training is used by the user equipment to determine a value of the reception quality of the first set number of wide beams
  • the receiving unit is configured
  • the sending unit is further configured to:
  • the processing unit is specifically configured to:
  • the application provides a user equipment, where the user equipment includes: a receiving unit, configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second setting a number of narrow beams; a processing unit, configured to perform beam training on the first set number of wide beams, and determine a value of a received quality corresponding to the first set number of wide beams respectively; Setting a value of the received quality corresponding to the plurality of wide beams respectively, determining an optimal wide beam, and a log likelihood ratio of the optimal wide beam; and sending, for using the sequence number of the optimal wide beam And a log likelihood ratio of the optimal wide beam is sent to the base station.
  • a receiving unit configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second setting a number of narrow beams
  • a processing unit configured to perform beam training on the first set number of wide beams, and determine a value of a received quality corresponding to the first set number of wide beams respectively
  • the receiving unit is further configured to:
  • the processing unit is specifically configured to:
  • the application provides a base station, where the base station includes: a sending unit, configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second setting Determining a number of narrow beams, the beam training is used by the user equipment to determine a value of the received quality corresponding to the first set number of wide beams, and the receiving unit is configured to receive the optimal wide beam sent by the user equipment a sequence number, and a value of a reception quality corresponding to an optimal wide beam and a reception quality of at least one sub-optimal wide beam among the values of the reception quality corresponding to the first set number of wide beams respectively; and a processing unit, configured to: Determining, by the value of the received quality corresponding to the optimal wide beam and the value of the received quality of the at least one sub-optimal wide beam, a log likelihood ratio of the optimal wide beam, and according to the sequence number of the optimal wide beam And a log likelihood ratio of the optimal wide beam determines a sequence number of
  • the sending unit is further configured to:
  • the processing unit is specifically configured to:
  • Searching for the narrow beam identification information corresponding to the log likelihood ratio in the mapping table corresponding to the optimal wide beam by using the log likelihood ratio of the optimal wide beam, and searching for the narrow beam identifier Information is used as the sequence number of the optimal narrow beam.
  • the present application provides a user equipment, where the user equipment includes: a receiving unit, configured to receive a first set number of wide beams sent by a base station, where each wide beam includes a second set a predetermined number of narrow beams; a processing unit, configured to perform beam training on the first set number of wide beams, and determine a value of the received quality corresponding to the first set number of wide beams, respectively, according to the The first set number of received quality values determines an optimal wide beam; the transmitting unit is configured to: use the sequence number of the optimal wide beam, and the received quality value corresponding to the first set number of wide beams respectively The value of the reception quality corresponding to the medium optimal wide beam and the value of the reception quality of the at least one sub-optimal wide beam are transmitted to the base station.
  • a receiving unit configured to receive a first set number of wide beams sent by a base station, where each wide beam includes a second set a predetermined number of narrow beams
  • a processing unit configured to perform beam training on the first set number of wide
  • the receiving unit is further configured to:
  • the application provides a base station, including:
  • Transceiver processor and memory
  • the memory is used to store a software program
  • the processor is configured to read a software program stored in the memory, and send and receive data through the transceiver, specifically for performing the first aspect, any one of the first aspect, The method of any one of the third aspect, the third aspect, the fifth aspect, or the fifth aspect.
  • the application provides a user equipment, including:
  • Transceiver processor and memory
  • the memory is used to store a software program
  • the processor is configured to read a software program stored in the memory, and send and receive data through the transceiver, specifically for performing any one of the second aspect and the second aspect, The method of any one of the fourth aspect, the fourth aspect, the sixth aspect or the sixth aspect.
  • the present application further provides a computer readable storage medium, configured to store any one of the foregoing first aspect, the first aspect, the second aspect, and the second aspect, Any one of the third aspect, the third aspect, the fourth aspect, any one of the fourth aspect, the fifth aspect, the fifth aspect, the sixth aspect, or the sixth aspect Computer software instructions for the function of the design, comprising any one of the above first aspect, the first aspect, the second aspect, the second aspect, the third aspect, the third aspect A design, a fourth aspect, a program of any one of the fifth aspect, the fifth aspect, the fifth aspect, the method of any one of the sixth aspect or the sixth aspect.
  • FIG. 1 is a schematic diagram of a multi-beam system provided by the present application.
  • FIG. 2 is a schematic structural diagram of a downlink beam training and data transmission frame of a multi-beam system according to the present application
  • FIG. 3 is a flowchart of a data transmission method according to the present application.
  • FIG. 4 is a schematic diagram of a narrow beam distribution provided by the present application.
  • FIG. 5 is a schematic diagram of a wide beam distribution provided by the present application.
  • FIG. 7 is a flowchart of still another data transmission method according to the present application.
  • FIG. 8 is a schematic structural diagram of another downlink beam training and data transmission frame of a multi-beam system according to the present application.
  • FIG. 9 is a schematic diagram of a cumulative distribution function of a simulation result of an average downlink spectrum efficiency provided by the present application.
  • FIG. 10 is a flowchart of a data transmission method according to the present application.
  • FIG. 11 is a flowchart of still another data transmission method according to the present application.
  • FIG. 12 is a flowchart of still another data transmission method according to the present application.
  • FIG. 13 is a schematic structural diagram of a downlink beam training and data transmission frame of another multi-beam system according to the present application.
  • FIG. 14 is a schematic diagram of a cumulative distribution function of another simulation result of average downlink spectral efficiency provided by the present application.
  • FIG. 15 is a flowchart of a data transmission method according to the present application.
  • FIG. 17 is a flowchart of still another data transmission method according to the present application.
  • FIG. 18 is a schematic structural diagram of another multi-beam system downlink beam training and data transmission frame provided by the present application.
  • 19 is a schematic diagram of a cumulative distribution function of a simulation result of another average downlink spectrum efficiency provided by the present application.
  • 20 is a schematic structural diagram of a base station provided by the present application.
  • 21 is a schematic structural diagram of a user equipment provided by the present application.
  • 22 is a schematic structural diagram of still another base station provided by the present application.
  • FIG. 23 is a schematic structural diagram of still another user equipment provided by the present application.
  • 25 is a schematic structural diagram of still another user equipment provided by the present application.
  • 26 is a schematic structural diagram of a base station hardware provided by the present application.
  • FIG. 27 is a schematic structural diagram of another user equipment hardware provided by the present application.
  • a user equipment which may be referred to as a terminal, a mobile station, a terminal device, or a mobile terminal, may communicate with one or more core network devices via a Radio Access Network (RAN).
  • the user device may be a mobile phone (or "cellular" phone) or a computer with a mobile terminal, etc., for example, the user device may also be a portable, pocket, handheld, computer built-in or in-vehicle mobile device.
  • the user equipment may also be an Internet of Things device, such as a watch terminal, a wearable device, a logistics tracker, an elevator picture or a satellite device. They exchange voice and/or data with the wireless access network.
  • the plurality referred to in the present application means two or more.
  • the TRP and the UE are both equipped with multiple antennas to support multiple beam transmission scenarios.
  • the TRP selects an optimal transmit beam from multiple transmit beams, and the UE selects from multiple receive beams.
  • the optimal receive beam is such that the TRP matches the UE beam pair and the UE has the strongest received power.
  • the black beam in FIG. 1 is an optimal transmit beam and receive beam.
  • the TRP first obtains the current cell information by using a Synchronization Signal (SS) and a Broadcast Channel (BCH), and then the system enters the beam scanning. Training phase with the beam.
  • the TRP provides M t transmit beams and the UE provides M r receive beams.
  • the time for defining a TRP to train one beam is one time slot, and the time for the UE to train one receive beam in each time slot is one sub-time slot.
  • the beam scanning process requires M t time slots to complete. In the i-th (0 ⁇ i ⁇ M t ) time slots, the TRP transmits the downlink reference signal through the ith directional beam, and the UE scans through the M r receive beams to select the best received quality for the transmit beam.
  • the UE feeds back the beam pair (i, j) and its reception quality to the TRP.
  • feedback can be performed through RSRP, RSRQ, and the like.
  • the TRP selects the beam pair (i 0 , j 0 ) with the best reception quality among the M t beam pairs, uses the ith 0 beam for downlink data transmission, and the UE selects the j 0 reception.
  • the beam receives downlink data.
  • the initial access delay is high and the spectrum efficiency of the system is reduced.
  • the present invention provides a data transmission method and device, which solves the problem that the training time of the TRP and the UE is large, the initial access delay is high, and the spectrum efficiency of the system is low in the data transmission process existing in the prior art.
  • the method and the device are based on the same inventive concept. Since the principles of the method and the device for solving the problem are similar, the implementation of the device and the method can be referred to each other, and the repeated description is not repeated.
  • Methods include:
  • the base station sends a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow beams, and the beam training is used by the user equipment to determine the first set.
  • TRP uses 32 Uniformly-spaced Linear Arrays (ULA) with half-wavelength antennas to provide 32 narrow beam uniform coverage [30°, 150°], resulting in a narrow beam as shown in Figure 4.
  • ULA Uniformly-spaced Linear Arrays
  • the first 8 antennas in the ULA generate 8 wide beam uniform coverage [30°, 150°]
  • the resulting wide beam is as shown in FIG. 5, that is, each wide beam includes 4 A narrow beam for beam training during access.
  • the UE uses a single antenna for omnidirectional reception and does not generate a receive beam.
  • the channel vector of the TRP and any UE to be accessed is a single-path LoS channel model, which can be expressed as:
  • ⁇ is the angle of arrival of the signal of the UE.
  • a j ⁇ £ 32 ⁇ 1 provides 32 narrow beam beamforming vectors for TRP, which can be expressed as:
  • the base station receives the sequence number of the optimal narrow beam sent by the user equipment.
  • the base station sends the first set number of wide beams to the user equipment, and the user equipment performs beam scanning and beam training on the first set number of wide beams, and the base station receives the user equipment according to the beam training.
  • the value of the reception quality of the first set number of wide beams determines the optimal narrow beam, which reduces the training time overhead and the access delay.
  • step S302 the method further includes:
  • the base station sends downlink data to the user equipment by using an optimal narrow beam corresponding to the sequence number.
  • the optimal wide beam of the eight wide beams has a sequence number of three
  • the second narrow beam of the four narrow beams of the wide beam of the sequence number 3 is an optimal narrow beam, which is optimal.
  • the narrow beam carries out downlink data transmission.
  • the method of the embodiment of the present application is not only applicable to the transmit beam sent by the base station when the downlink data is transmitted, but also is applicable to the user equipment to select the optimal receive beam during the uplink data transmission, which is not described in the embodiment of the present application.
  • FIG. 6 Another flow chart of a data transmission method provided by the present application, as shown in FIG. 6, includes:
  • the user equipment receives the first set number of wide beams sent by the base station, where each wide beam includes a second set number of narrow beams.
  • the user equipment performs beam training on the first set number of wide beams, and determines a value of a reception quality corresponding to the first set number of wide beams.
  • the user equipment determines an optimal narrow beam according to values of received quality corresponding to the first set number of wide beams.
  • the user equipment determines an optimal wide beam according to the value of the received quality corresponding to the first set number of wide beams, and respectively receives the number of received quality corresponding to the first set number of wide beams. And a value of the optimal reception quality and a value of the at least one sub-optimal reception quality, and determining a logarithm of the optimal wide beam by the value of the optimal reception quality and the value of the at least one sub-optimal reception quality a likelihood ratio, the user equipment, by using the log likelihood ratio, searching for a narrow beam identification information corresponding to the log likelihood ratio in a mapping table corresponding to the optimal wide beam set in advance The narrow beam corresponding to the found identification information is used as the optimal narrow beam.
  • TRP provides 8 wide beams for 8 downlink beams for downlink beam training.
  • the UE calculates the sequence number of the optimal narrow beam for the data service.
  • the specific beam calibration process can use the following experimental calibration function:
  • the optimal narrow beam of the downlink data transmission is located within the coverage of the optimal wide beam in the beam training phase.
  • the calibration function f is a piecewise symmetric function with respect to i o , which can be expressed as:
  • LLR-BQ Log-Likelihood Ratio of Beam-Quality
  • the above formula can be applied to the transmission power of different TRPs, and at the same time reduce the dynamic range of the input signal power of the UE-side calibration function.
  • the experimental calibration function with LLR-BQ as input can be expressed as:
  • the mapping finally determines the optimal narrow beam number j c .
  • the user equipment sends the sequence number of the optimal narrow beam to the base station.
  • the UE feeds back the calibrated optimal narrow beam sequence number j c to the base station. Since 0 ⁇ j c ⁇ 31, 5 bits can be used to represent j c in feedback.
  • each UE feeds back the optimal narrow beam sequence number j c obtained by the calibration to the TRP, and the TRP schedules the UE according to the feedback situation, for example, when multiple UEs feed back the same
  • the optimal narrow beam sequence number is used for the downlink data service of the TRP
  • the UEs that have the beam collision may be allocated to different time-frequency resource blocks for service.
  • step S604 the method further includes:
  • the user equipment receives downlink data that is sent by the base station by using an optimal narrow beam corresponding to the sequence number.
  • FIG. 7 Another flowchart of the data transmission method provided by the present application is specifically described for the interaction process between the TRP and the UE, as shown in FIG. 7, including:
  • the base station determines a first set number of wide beams.
  • the base station sends a first set number of wide beams to perform beam training on the user equipment.
  • the user equipment performs beam training on the received first set number of wide beams, and determines a value of the received quality corresponding to the first set number of wide beams.
  • the user equipment determines, according to the value of the received quality corresponding to the first set number of wide beams, the optimal wide beam, and the number of the received quality of the first set number of wide beams respectively And determining a log likelihood ratio of the optimal wide beam by selecting a value of the optimal reception quality and a value of the at least one sub-optimal reception quality.
  • the user equipment searches for a narrow beam identification information corresponding to the log likelihood ratio by using the log likelihood ratio in a mapping table corresponding to the optimal wide beam set in advance, and searching for the narrow beam identification information corresponding to the log likelihood ratio.
  • a narrow beam corresponding to the identification information is used as the optimal narrow beam, that is, beam calibration.
  • S706 The user equipment feeds back the sequence number of the optimal narrow beam to the base station, where the user equipment needs 5 bits to feed back the optimal narrow beam sequence number.
  • the base station determines an optimal narrow beam according to the received sequence number of the optimal narrow beam, and uses the optimal narrow beam to perform downlink data transmission.
  • the frame structure of the downlink beam training and data transmission of the multi-beam system corresponding to the above method is as shown in FIG. 8.
  • the following method is described by way of example 1, assuming that the noise power is is
  • the formula for defining the calibration error is as follows:
  • the simulation results show that the beam access deviation
  • the expectation of defining calibration errors is:
  • the Cumulative Distribution Function (CDF) of the simulation results comparing the efficiency is shown in Fig. 9. A comparison of the occurrence of calibration errors, no calibration errors, and overall average downlink spectral efficiency is given by Table 1 below.
  • a flow chart of a data transmission method provided by the present application, as shown in FIG. 10, includes:
  • the base station sends a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow beams, and the beam training is used by the user equipment to determine the first set.
  • the base station receives a sequence number of an optimal wide beam sent by the user equipment, and a log likelihood of the optimal wide beam determined by a value of a received quality of the first set number of wide beams. ratio.
  • the base station determines, according to the sequence number of the optimal wide beam and a log likelihood ratio of the optimal wide beam, a sequence number of the optimal narrow beam.
  • the base station determines, according to the sequence number of the optimal wide beam, an optimal wide beam corresponding to the sequence number;
  • the base station Searching, by the base station, the log likelihood ratio of the optimal wide beam, the narrow beam identification information corresponding to the log likelihood ratio in the mapping table corresponding to the optimal wide beam set in advance, and searching for The narrow beam identification information is used as the sequence number of the optimal narrow beam.
  • step S1003 the method further includes:
  • the base station sends downlink data to the user equipment by using an optimal narrow beam corresponding to the sequence number.
  • FIG. 11 Another flow chart of a data transmission method provided by the present application, as shown in FIG. 11, includes:
  • the user equipment receives the first set number of wide beams sent by the base station, where each wide beam includes a second set number of narrow beams.
  • the user equipment performs beam training on the first set number of wide beams, and determines a value of a received quality corresponding to the first set number of wide beams.
  • S1103 The user equipment determines an optimal wide beam and a log likelihood ratio of the optimal wide beam according to values of received quality corresponding to the first set number of wide beams.
  • the user equipment determines an optimal wide beam according to values of the received quality corresponding to the first set number of wide beams, and respectively receives the received quality corresponding to the first set of wide beams. And selecting, in the value, a value of the optimal reception quality and a value of the at least one sub-optimal reception quality, determining, by the value of the optimal reception quality and the value of the at least one sub-optimal reception quality, a logarithm of the optimal wide beam Rather than.
  • S1104 The user equipment sends the sequence number of the optimal wide beam and the log likelihood ratio of the optimal wide beam to the base station.
  • step S1104 the method further includes:
  • the user equipment receives downlink data that is sent by the base station through an optimal narrow beam.
  • FIG. 12 Another flowchart of the data transmission method provided by the present application is specifically described for the interaction process between the TRP and the UE, as shown in FIG. 12, including:
  • the base station determines a first set number of wide beams.
  • the base station sends a first set number of wide beams to perform beam training on the user equipment.
  • the user equipment performs beam training on the received first set number of wide beams, and determines a value of the reception quality corresponding to the first set number of wide beams.
  • the user equipment determines, according to the value of the received quality corresponding to the first set number of wide beams, the optimal wide beam, and the value of the received quality of the first set number of wide beams respectively And determining a log likelihood ratio of the optimal wide beam by selecting a value of the optimal reception quality and a value of the at least one sub-optimal reception quality.
  • S1205 The user equipment feeds back the optimal wide beam sequence number and the log likelihood ratio of the optimal wide beam to the base station, where the user equipment needs to feed the optimal wide beam sequence number by 3 bits.
  • the number of bits of the log likelihood ratio of the optimal wide beam is 5 bits
  • the number of bits that feed back the log likelihood ratio of the optimal wide beam is 10 bits.
  • the base station selects, by using the received optimal wide beam sequence number and the log likelihood ratio of the optimal wide beam, in a mapping table corresponding to the optimal wide beam set in advance.
  • the narrow beam identification information corresponding to the log likelihood ratio is used, and the narrow beam corresponding to the found identification information is used as the optimal narrow beam, that is, beam calibration.
  • the base station sends downlink data to the terminal according to the determined optimal narrow beam.
  • the frame structure of the downlink beam training and data transmission of the multi-beam system corresponding to the above method is as shown in FIG.
  • the simulation of the second example is performed in the same simulation environment as in the first example.
  • the Cumulative Distribution Function (CDF) of the simulation result of the second example and the first example of the present application is compared with the average downlink spectrum efficiency of the prior art. Show.
  • a comparison of the occurrence of calibration errors, no calibration errors, and overall average downlink spectral efficiency is given by Table 2 below.
  • a flow chart of a data transmission method provided by the present application, as shown in FIG. 15, includes:
  • the base station sends a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow beams, and the beam training is used by the user equipment to determine the first set.
  • the value of the received quality corresponding to the number of wide beams is determined.
  • the base station receives the sequence number of the optimal wide beam sent by the user equipment, and the value of the reception quality corresponding to the optimal wide beam among the values of the received quality corresponding to the first set number of wide beams respectively.
  • the base station determines a log likelihood ratio of the optimal wide beam by using a value of a received quality corresponding to the optimal wide beam and a value of a received quality of the at least one sub-optimal wide beam.
  • the base station determines, according to the sequence number of the optimal wide beam and a log likelihood ratio of the optimal wide beam, a sequence number of the optimal narrow beam.
  • the base station determines, according to the sequence number of the optimal wide beam, an optimal wide beam corresponding to the sequence number;
  • the base station searches for a narrow beam identification information corresponding to the log likelihood ratio in a mapping table corresponding to the optimal wide beam by using a log likelihood ratio of the optimal wide beam, and the discovered The narrow beam identification information is used as the sequence number of the optimal narrow beam.
  • step S1504 the method further includes:
  • the base station sends downlink data to the user equipment by using the optimal narrow beam.
  • FIG. 16 Another flow chart of a data transmission method provided by the present application, as shown in FIG. 16, includes:
  • S1601 The user equipment receives the first set number of wide beams sent by the base station, where each wide beam includes a second set number of narrow beams.
  • the user equipment performs beam training on the first set number of wide beams, and determines a value of a reception quality corresponding to the first set number of wide beams.
  • S1603 The user equipment determines an optimal wide beam according to the value of the first set number of received qualities.
  • the user equipment sets the sequence number of the optimal wide beam and the value of the received quality corresponding to the optimal wide beam and the at least one sub-optimal wide beam among the values of the received quality corresponding to the first set number of wide beams respectively
  • the value of the received quality is sent to the base station.
  • step S1603 the method further includes:
  • the user equipment receives downlink data that is sent by the base station through an optimal narrow beam.
  • FIG. 17 Another flowchart of the data transmission method provided by the present application is specifically described in the interaction process between the TRP and the UE, as shown in FIG. 17, including:
  • the base station determines a first set number of wide beams.
  • the base station sends a first set number of wide beams to perform beam training on the user equipment.
  • the user equipment performs beam training on the received first set number of wide beams, and determines a value of the reception quality corresponding to the first set number of wide beams.
  • the user equipment determines an optimal wide beam according to the value of the received quality corresponding to the first set number of wide beams, and determines a number of received quality corresponding to the first set number of wide beams respectively.
  • the value of the optimal reception quality and the value of at least one sub-optimal reception quality are optional, and may also be fed back to the existing standard RSRP, RSRQ equivalent.
  • the base station determines a log likelihood ratio of the optimal wide beam by using a value of a reception quality corresponding to the optimal wide beam and a value of a reception quality of at least one sub-optimal wide beam.
  • the base station by using the received optimal wide beam sequence number and the log likelihood ratio of the optimal wide beam, in a mapping table corresponding to the optimal wide beam set in advance, searching for a location
  • the narrow beam identification information corresponding to the log likelihood ratio is used, and the narrow beam corresponding to the found identification information is used as the optimal narrow beam, that is, beam calibration.
  • S1708 The base station sends downlink data to the terminal according to the determined optimal narrow beam.
  • the frame structure of the downlink beam training and data transmission of the multi-beam system corresponding to the above method is as shown in FIG. 18.
  • the simulation of the third example is performed in the same simulation environment as in the first example.
  • the Cumulative Distribution Function (CDF) of the simulation result in comparison with the average downlink spectral efficiency of the prior art in the third example, the second example and the first example of the present application is as follows.
  • Figure 19 shows. A comparison of the occurrence of calibration errors, no calibration errors, and overall average downlink spectral efficiency is given by Table 3 below.
  • the present application further provides a base station.
  • the base station includes:
  • the sending unit 2001 is configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow beams, and the beam training is used by the user equipment to determine the First, the value of the reception quality of the number of wide beams is set.
  • the receiving unit 2002 is configured to receive the sequence number of the optimal narrow beam sent by the user equipment.
  • a base station where the base station sends a first set number of wide beams to a user equipment, and the user equipment performs beam scanning and beam training on the first set number of wide beams, and the base station receives
  • the optimal narrow beam is determined by the value of the received quality of the first set number of wide beams determined by the user equipment according to the beam training, which reduces the training time overhead and the access delay.
  • the sending unit 2001 is further configured to:
  • the present application further provides a user equipment.
  • the user equipment includes:
  • the receiving unit 2101 is configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second set number of narrow beams.
  • the processing unit 2102 is configured to perform beam training on the first set number of wide beams, and determine a value of the reception quality corresponding to the first set number of wide beams respectively.
  • the processing unit 2102 is further configured to: determine, according to the value of the received quality corresponding to the first set number of wide beams, an optimal narrow beam; and send, by the sending unit, the sequence number of the optimal narrow beam To the base station.
  • a user equipment receives a first set number of wide beams sent by a base station, and the user equipment performs beam scanning and beam training on the first set number of wide beams.
  • the optimal narrow beam is determined according to the value of the received quality of the first set number of wide beams determined by the beam training, which reduces the training time overhead and the access delay.
  • each user equipment selects the corresponding optimal narrow beam according to the above process, and does not affect each other, thereby improving the service quality of data transmission of the multi-user equipment scenario.
  • the receiving unit 2101 is further configured to:
  • processing unit 2102 is specifically configured to:
  • processing unit 2102 is specifically configured to:
  • the application also provides a base station, as shown in FIG. 22, the base station includes:
  • the sending unit 2201 is configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow beams, and the beam training is used by the user equipment to determine the The first is to set the value of the receiving quality of the wide beam.
  • the receiving unit 2202 is configured to receive a sequence number of an optimal wide beam sent by the user equipment, and a logarithm of the optimal wide beam determined by a value of a received quality of the first set number of wide beams. Ran.
  • the processing unit 2203 is configured to determine, according to the sequence number of the optimal wide beam and the log likelihood ratio of the optimal wide beam, the sequence number of the optimal narrow beam.
  • the sending unit 2201 is further configured to:
  • processing unit 2203 is specifically configured to:
  • the application also provides a user equipment, as shown in FIG. 23, the user equipment includes:
  • the receiving unit 2301 is configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second set number of narrow beams.
  • the processing unit 2302 is configured to perform beam training on the first set number of wide beams, and determine a value of the reception quality corresponding to the first set number of wide beams.
  • the processing unit 2302 is further configured to determine, according to values of the received quality corresponding to the first set number of wide beams, an optimal wide beam, and a log likelihood ratio of the optimal wide beam.
  • the sending unit 2303 is configured to send the sequence number of the optimal wide beam and the log likelihood ratio of the optimal wide beam to the base station.
  • the receiving unit 2301 is further configured to:
  • processing unit 2302 is specifically configured to:
  • the application also provides a base station, as shown in FIG. 24, the base station includes:
  • the sending unit 2401 is configured to send a first set number of wide beams to perform beam training on the user equipment, where each wide beam includes a second set number of narrow beams, and the beam training is used by the user equipment to determine the First, the value of the received quality corresponding to the number of wide beams is set.
  • the receiving unit 2402 is configured to receive the sequence number of the optimal wide beam sent by the user equipment, and the value of the reception quality corresponding to the optimal wide beam among the values of the received quality corresponding to the first set number of wide beams respectively. And a value of the reception quality of at least one sub-optimal wide beam.
  • the processing unit 2403 is configured to determine a log likelihood ratio of the optimal wide beam by using a value of the received quality corresponding to the optimal wide beam and a value of the received quality of the at least one sub-optimal wide beam.
  • the processing unit 2403 is further configured to determine, according to the sequence number of the optimal wide beam and the log likelihood ratio of the optimal wide beam, the sequence number of the optimal narrow beam.
  • the sending unit is further configured to:
  • the processing unit is specifically configured to:
  • Searching for the narrow beam identification information corresponding to the log likelihood ratio in the mapping table corresponding to the optimal wide beam by using the log likelihood ratio of the optimal wide beam, and searching for the narrow beam identifier Information is used as the sequence number of the optimal narrow beam.
  • the application also provides a user equipment, as shown in FIG. 25, the user equipment includes:
  • the receiving unit 2501 is configured to receive a first set number of wide beams sent by the base station, where each wide beam includes a second set number of narrow beams.
  • the processing unit 2502 is configured to perform beam training on the first set number of wide beams, and determine a value of the reception quality corresponding to the first set number of wide beams respectively; and according to the first setting The value of the number of reception qualities determines the optimal wide beam.
  • the sending unit 2503 is configured to: use the sequence number of the optimal wide beam, and the value of the received quality corresponding to the optimal wide beam of the first set number of wide beams respectively, and at least one suboptimal The value of the reception quality of the wide beam is transmitted to the base station.
  • the receiving unit 2501 is further configured to:
  • each functional module in each embodiment of the present application may be integrated into one processing. In the device, it can also be physically existed alone, or two or more modules can be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated module may be implemented in the form of hardware.
  • the base station may include a processor 2601.
  • the hardware of the entity corresponding to the processing unit 2203 or 2403 may be the processor 2601.
  • the base station may further include a transceiver 2604.
  • the hardware of the entity corresponding to the foregoing sending unit 2001, the receiving unit 2002, the sending unit 2201, the receiving unit 2202, the sending unit 2401 or the receiving unit 2402 may be the transceiver 2604.
  • the processor 2601 may be a central processing unit (English: central processing unit, CPU for short), or a digital processing module or the like.
  • the terminal device further includes a memory 2602 for storing a program executed by the processor 2601.
  • the memory 2602 may be a non-volatile memory, such as a hard disk drive (HDD) or a solid state drive (SSD), or a volatile memory (English: volatile) Memory), such as random access memory (English: random-access memory, abbreviation: RAM).
  • Memory 2602 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto.
  • the processor 2601 is configured to execute the program code stored in the memory 2602, and specifically call the program instructions stored in the memory 2602.
  • the specific connection medium between the processor 2601 and the memory 2602 is not limited in the embodiment of the present application.
  • the embodiment of the present application is connected between the processor 2601 and the memory 2602 in FIG. 26 through a bus 2603.
  • the bus is indicated by a thick line in FIG. 26, and the connection manner between other components is merely illustrative, and is not cited. Limited.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in FIG. 26, but it does not mean that there is only one bus or one type of bus.
  • the user equipment may include a processor 2701, and the hardware of the entity corresponding to the processing unit 2102, the processing unit 2302, or the processing unit 2502 may be the processor 2701.
  • the user equipment may further include a transceiver 2704.
  • the hardware of the entity corresponding to the receiving unit 2101, the receiving unit 2301, the sending unit 2303, the receiving unit 2501, or the sending unit 2503 may be the transceiver 2704.
  • the processor 2701 may be a central processing unit (English: central processing unit, CPU for short), or a digital processing module or the like.
  • the terminal device further includes a memory 702 for storing a program executed by the processor 2701.
  • the memory 2702 may be a non-volatile memory, such as a hard disk drive (HDD) or a solid state drive (SSD), or a volatile memory (English: volatile) Memory), such as random access memory (English: random-access memory, abbreviation: RAM).
  • Memory 2702 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto.
  • the processor 2701 is configured to execute the program code stored in the memory 2702, and specifically call the program instructions stored in the memory 2702.
  • connection medium between the processor 2701 and the memory 2702 is not limited in the embodiment of the present application.
  • the embodiment of the present application is connected between the processor 2701 and the memory 2702 in FIG. 27 through the bus 2703.
  • the bus is indicated by a thick line in FIG. 27, and the connection manner between other components is merely illustrative, and is not cited. Limited.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 27, but it does not mean that there is only one bus or one type of bus.
  • the embodiment of the invention further provides a computer readable storage medium for storing computer software instructions required to execute the above-mentioned processor, which comprises a program for executing the above-mentioned processor.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

Landscapes

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

Abstract

本申请公开了一种数据传输方法和设备，用以解决现有技术中存在的数据传输过程中，TRP与UE的训练时间开销大、初始接入延迟高以及系统的频谱效率低的问题。该方法包括：基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；所述基站接收到所述用户设备发送的最优窄波束的序号。

Description

一种数据传输方法和设备
本申请要求以下专利申请的优先权：
2017年04月25日提交中国专利局、申请号为201710278552.2、发明名称为“一种数据传输方法和设备”的中国专利申请的优先权；
2017年05月19日提交中国专利局、申请号为201710360778.7、发明名称为“一种数据传输方法和设备”的中国专利申请的优先权；
上述专利申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及无线通信技术领域，尤其涉及一种数据传输方法和设备。
背景技术
在同一小区内，基站(Transmit and Receive Point，TPR)与用户设备(User Equipment，UE)之间的新空口(New Radio，NR)，支持信号频带宽、波长短、利于实现大规模天线阵列的毫米波高频段，但所述毫米波高频段存在路径损耗高、信号接收功率低以及覆盖性能差的缺点，为了弥补高路径损耗，提升信号接收功率和小区内的覆盖性能，基站与终端均形成多个较窄的定向波束进行信号传输，其中，每个波束覆盖一定的空间范围。
在现有技术中，TRP与UE均配备多天线，可支持多波束传输的场景，在下行传输中，TRP从多个发射波束中选择最优的发射波束，同时UE从多个接收波束中选择最优的接收波束，使得TRP与UE波束对匹配，UE具有最强的接收功率。在初始接入匹配最优的TRP与UE波束对时，TRP与UE采用波束扫描与波束训练的方式，选取最优的波束对进行数据传输，假设TRP提供M t个发射波束，UE提供M r个接收波束用于下行数据传输，TRP与UE端波束越多，M tM r越大，经波束赋型后数据传输的接收质量越高，但是当波束增多时，波束扫描与波束训练时间开销较大，使得初始接入延迟较高，并降低了系统的频谱效率。
综上所述，如何在保持数据传输质量的情况下，减小训练时间开销，降低初始接入延迟，提高系统的频谱效率是目前需要解决的问题。
发明内容
本申请提供一种数据传输方法和设备，以在保持数据传输质量的情况下，减小TRP与UE的训练时间开销，降低初始接入延迟，提高系统的频谱效率。
第一方面，本申请提供了一种数据传输方法，该方法包括：基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；所述基站接收到所述用户设备发送的最优窄波束的序号。
本申请实施例中，基站发送第一设定个数宽波束给用户设备，用户设备对所述第一 设定个数宽波束进行波束扫描和波束训练，基站接收到用户设备根据波束训练确定的第一设定个数宽波束的接收质量的值确定出最优窄波束，减小了训练时间开销和接入延迟。
在一种可能的设计中，所述基站确定出所述用户设备发送的最优窄波束的序号之后，该方法还包括：所述基站通过所述序号对应的最优窄波束向所述用户设备发送下行数据。
本申请实施例中，通过最优宽波束中的最优窄波束进行数据传输，提高了波束赋型时数据传输的服务质量，即提高了系统的频谱效率。
第二方面，本申请提供了一种数据传输方法，该方法包括：用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优窄波束；所述用户设备将所述最优窄波束的序号发送给所述基站。
本申请实施例中，用户设备接收到基站发送的第一设定个数宽波束，用户设备对所述第一设定个数宽波束进行波束扫描和波束训练，根据波束训练确定的第一设定个数宽波束的接收质量的值确定出最优窄波束，减小了训练时间开销和接入延迟。当存在多个用户设备时，每个用户设备都是按照上述过程选择对应的最优窄波束，互相之间不影响，提高了多用户设备场景的数据传输的服务质量。
在一种可能的设计中，所述用户设备将所述最优窄波束的序号发送给所述基站之后，该方法还包括：
所述用户设备接收到所述基站通过所述序号对应的最优窄波束发送的下行数据。
本申请实施例中，通过最优宽波束中的最优窄波束进行数据传输，提高了波束赋型时数据传输的服务质量，即提高了系统的频谱效率。
在一种可能的设计中，所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优窄波束，包括：
所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比，通过所述对数似然比在所述最优宽波束包括的窄波束中确定出最优窄波束。
在一种可能的设计中，所述用户设备通过所述对数似然比在所述最优宽波束包括的窄波束中确定出最优窄波束，包括：
所述用户设备通过所述对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束。
第三方面，本申请提供了一种数据传输方法，该方法包括：基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；所述基站接收到所述用户设备发送的最优宽波束的序号以及通过所述第一设定个数宽波束的接收质量的值确定出的所述最优宽波束的对数似然比；所述基站根据所述最优宽波束的序号以及所 述最优宽波束的对数似然比确定出最优窄波束的序号。
本申请实施例中，基站发送第一设定个数宽波束给用户设备，用户设备对所述第一设定个数宽波束进行波束扫描和波束训练，基站接收到用户设备根据波束训练确定的第一设定个数宽波束的接收质量的值确定出的最优宽波束的对数似然比，根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号，减小了训练时间开销和接入延迟。
在一种可能的设计中，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号之后，该方法还包括：
所述基站通过所述序号对应的最优窄波束向对所述用户设备发送下行数据。
在一种可能的设计中，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号，包括：
所述基站根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
所述基站通过所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
本申请实施例中，在基站侧存储预先设置的所述最优宽波束对应的映射表，节省了用户设备侧的存储资源，降低了用户设备的实现复杂度和计算功耗。
第四方面，本申请提供了一种数据传输方法，该方法包括：用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比；所述用户设备将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站。
在一种可能的设计中，所述用户设备将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站之后，该方法还包括：
所述用户设备接收到所述基站通过最优窄波束发送的下行数据。
在一种可能的设计中，所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比，包括：
所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比。
第五方面，本申请提供了一种数据传输方法，该方法包括：基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束分别对应的接收质量的值；所述基站接收到所述用户设备发送的最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量 的值；所述基站通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值确定出所述最优宽波束的对数似然比；所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
本申请实施例中，基站发送第一设定个数宽波束给用户设备，用户设备对所述第一设定个数宽波束进行波束扫描和波束训练，基站接收到用户设备根据波束训练确定的第一设定个数宽波束的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值，根据所述第一设定个数宽波束的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值确定出的最优宽波束的对数似然比，根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号，减小了训练时间开销和接入延迟。并且在基站侧计算最优宽波束的对数似然比，节省了用户设备侧的存储资源，降低了用户设备的实现复杂度和计算功耗。
在一种可能的设计中，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号之后，该方法还包括：
所述基站通过所述最优窄波束向所述用户设备发送下行数据。
在一种可能的设计中，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号，包括：
所述基站根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
所述基站通过所述最优宽波束的对数似然比，在预先设置所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
本申请实施例中，在基站侧存储预先设置的所述最优宽波束对应的映射表，节省了用户设备侧的存储资源，降低了用户设备的实现复杂度和计算功耗。
第六方面，本申请提供了一种数据传输方法，所述方法包括：用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；所述用户设备根据所述第一设定个数接收质量的值确定出最优宽波束；所述用户设备将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站。
在一种可能的设计中，所述用户设备将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站之后，该方法还包括：
所述用户设备接收到所述基站通过最优窄波束发送的下行数据。
第七方面，本申请提供了一种基站，所述基站包括：发送单元，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；接收单元，用于接收到所述用户设备发送的最优窄波束的序号。
在一种可能的设计中，所述发送单元还用于，
通过所述序号对应的最优窄波束向所述用户设备发送下行数据。
第八方面，本申请提供了一种用户设备，所述用户设备包括：接收单元，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；处理单元，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值，并根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优窄波束；发送单元，用于将所述最优窄波束的序号发送给所述基站。
在一种可能的设计中，所述接收单元还用于：
接收到所述基站通过所述序号对应的最优窄波束发送的下行数据。
在一种可能的设计中，所述处理单元具体用于：
根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比，通过所述对数似然比在所述最优宽波束包括的窄波束中确定出最优窄波束。
在一种可能的设计中，所述处理单元具体用于：
通过所述对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束。
第九方面，本申请提供了一种基站，所述基站包括：发送单元，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；接收单元，用于接收到所述用户设备发送的最优宽波束的序号以及通过所述第一设定个数宽波束的接收质量的值确定出的所述最优宽波束的对数似然比；处理单元，用于根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
在一种可能的设计中，所述发送单元还用于：
通过所述序号对应的最优窄波束向对所述用户设备发送下行数据。
在一种可能的设计中，所述处理单元具体用于：
根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
通过所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
第十方面，本申请提供了一种用户设备，所述用户设备包括：接收单元，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；处理单元，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；并根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比；发送单元，用于将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站。
在一种可能的设计中，所述接收单元还用于：
接收到所述基站通过最优窄波束发送的下行数据。
在一种可能的设计中，所述处理单元具体用于：
根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比。
第十一方面，本申请提供了一种基站，所述基站包括：发送单元，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束分别对应的接收质量的值；接收单元，用于接收到所述用户设备发送的最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值；处理单元，用于通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值确定出所述最优宽波束的对数似然比，并根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
在一种可能的设计中，所述发送单元还用于：
通过所述最优窄波束向所述用户设备发送下行数据。
在一种可能的设计中，所述处理单元具体用于：
根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
通过所述最优宽波束的对数似然比，在预先设置所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
第十二方面，本申请提供了一种用户设备，所述用户设备包括：接收单元，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；处理单元，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值，并根据所述第一设定个数接收质量的值确定出最优宽波束；发送单元，用于将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站。
在一种可能的设计中，所述接收单元还用于：
接收到所述基站通过最优窄波束发送的下行数据。
第十三方面，本申请提供了一种基站，包括：
收发器、处理器和存储器；
所述存储器用于存储软件程序，所述处理器用于读取所述存储器中存储的软件程序，通过所述收发器收发数据，具体用于执第一方面、第一方面的任一种设计、第三方面、第三方面的任一种设计、第五方面或第五方面的任一种设计所述的方法。
第十四方面，本申请提供了一种用户设备，包括：
收发器、处理器和存储器；
所述存储器用于存储软件程序，所述处理器用于读取所述存储器中存储的软件程序， 通过所述收发器收发数据，具体用于执行第二方面、第二方面的任一种设计、第四方面、第四方面的任一种设计、第六方面或第六方面的任一种设计所述的方法。
第十五方面，本申请还提供了一种计算机可读存储介质，用于存储为执行上述第一方面、第一方面的任一种设计、第二方面、第二方面的任一种设计、第三方面、第三方面的任一种设计、第四方面、第四方面的任一种设计、第五方面、第五方面的任一种设计、第六方面或第六方面的任一种设计的功能所用的计算机软件指令，其包含用于执行上述第一方面、第一方面的任一种设计、第二方面、第二方面的任一种设计、第三方面、第三方面的任一种设计、第四方面、第四方面的任一种设计、第五方面、第五方面的任一种设计、第六方面或第六方面的任一种设计的方法所设计的程序。
附图说明
图1为本申请提供的一种多波束系统示意图；
图2为本申请提供的一种多波束系统下行波束训练与数据传输帧结构示意图；
图3为本申请提供一种数据传输方法流程图；
图4为本申请提供的一种窄波束分布示意图；
图5为本申请提供的一种宽波束分布示意图；
图6为本申请提供又一种数据传输方法流程图；
图7为本申请提供再一种数据传输方法流程图；
图8为本申请提供的又一种多波束系统下行波束训练与数据传输帧结构示意图；
图9为本申请提供的一种平均下行频谱效率的仿真结果的累积分布函数示意图；
图10为本申请提供一种数据传输方法流程图；
图11为本申请提供又一种数据传输方法流程图；
图12为本申请提供再一种数据传输方法流程图；
图13为本申请提供的再一种多波束系统下行波束训练与数据传输帧结构示意图；
图14为本申请提供的又一种平均下行频谱效率的仿真结果的累积分布函数示意图；
图15为本申请提供一种数据传输方法流程图；
图16为本申请提供又一种数据传输方法流程图；
图17为本申请提供再一种数据传输方法流程图；
图18为本申请提供的另一种多波束系统下行波束训练与数据传输帧结构示意图；
图19为本申请提供的再一种平均下行频谱效率的仿真结果的累积分布函数示意图；
图20为本申请提供的一种基站结构示意图；
图21为本申请提供的一种用户设备结构示意图；
图22为本申请提供的又一种基站结构示意图；
图23为本申请提供的又一种用户设备结构示意图；
图24为本申请提供的再一种基站结构示意图；
图25为本申请提供的再一种用户设备结构示意图；
图26为本申请提供的一种基站硬件结构示意图；
图27为本申请提供的再一种用户设备硬件结构示意图。
具体实施方式
下面将结合附图对本申请实施例作进一步地详细描述。
以下，对本申请中的部分用语进行解释说明，以便与本领域技术人员理解。
用户设备，可以称之为终端、移动台、终端设备或移动终端等，该用户设备可以经无线接入网(Radio Access Network，RAN)与一个或多个核心网设备进行通信。用户设备可以是移动电话(或称为“蜂窝”电话)或具有移动终端的计算机等，例如，用户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设备。用户设备也可以是物联网设备，例如表类终端，穿戴设备，物流跟踪，电梯图片或卫视等物联设备。它们与无线接入网交换语音和/或数据。
本申请中所涉及的多个，是指两个或两个以上。
另外，需要理解的是，在本申请的描述中，“第一”、“第二”等词汇，仅用于区分描述的目的，而不能理解为指示或暗示相对重要性，也不能理解为指示或暗示顺序。
在现有技术中，TRP与UE均配备多天线，可支持多波束传输的场景，在下行传输中，TRP从多个发射波束中选择最优的发射波束，同时UE从多个接收波束中选择最优的接收波束，使得TRP与UE波束对匹配，UE具有最强的接收功率。如图1所示，图1中所述黑色波束为最优的发射波束与接收波束。在初始接入匹配最优的TRP与UE波束对时，TRP与UE采用波束扫描与波束训练的方式，选取最优的波束对进行数据传输，假设TRP提供M t个发射波束，UE提供M r个接收波束用于下行数据传输，具体的，如图2所示，TRP首先通过同步信号(Synchronization Signal,SS)与广播信道(Broadcast Channel,BCH)使得UE获取当前小区信息，然后系统进入波束扫描与波束训练阶段。TRP提供M t个发射波束，UE提供M r个接收波束。定义TRP训练一个波束的时间为一个时隙，UE在每个时隙中训练一个接收波束的时间为一个子时隙。波束扫描过程需要M t个时隙完成。在第i(0≤i<M t)个时隙中，TRP通过第i个定向波束发射下行参考信号，UE通过M r个接收波束进行扫描，选取针对该发射波束的具有最佳接收质量的接收波束j(0≤j<M r)。UE向TRP反馈波束对(i,j)及其接收质量，可选的，可以通过RSRP，RSRQ等进行反馈。M t个时隙后，TRP在M t个波束对中选取具有最佳接收质量的波束对(i 0,j 0)，采用第i 0个波束进行下行数据传输，UE选取第j 0个接收波束接收下行数据，TRP与UE端波束越多，M tM r越大，经波束赋型后数据传输的接收质量越高，但是当波束增多时，波束扫描与波束训练时间开销较大，使得初始接入延迟较高，并降低了系统的频谱效率。
本申请提供一种数据传输方法和设备，用以解决现有技术中存在的数据传输过程中，TRP与UE的训练时间开销大、初始接入延迟高以及系统的频谱效率低的问题。其中，方法和装置是基于同一发明构思的，由于方法及装置解决问题的原理相似，因此装置与方法的实施可以相互参见，重复之处不再赘述。
下面结合附图对本申请提供的数据传输方案进行具体说明。
参见图3，为本申请提供的一种数据传输方法流程图。方法包括：
S301、基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束 的接收质量的值。
举例说明：在单小区多UE的初始接入过程中，假设UE的数目为K，K等于4，TRP与UE系统工作在毫米波频段，采用单径视距(Line-of-Sight,LoS)信道；TRP采用32根间距为半波长的天线构成的均匀线性阵列(Uniformly-spaced Linear Array,ULA)，可提供32个窄波束均匀覆盖[30°，150°]，产生的窄波束如图4所示，用于下行数据传输，该ULA中的前8根天线，产生8个宽波束均匀覆盖[30°，150°]，产生的宽波束如图5所示，即每个宽波束包括4个窄波束，用于接入过程中的波束训练。UE端采用单天线全向接收，不产生接收波束。
具体的，记h∈# 8×1，g∈ 32×1为分别采用8天线与32天线时，TRP与任一待接入UE的信道向量，采用单径LoS信道模型，可表示为：
h＝[1,e -jπcosθ,...,e -j7πcosθ] T
g＝[1,e -jπcosθ,...,e -j31πcosθ] T
其中，θ为该UE的信号的到达角。
记b i∈￡ 8×1，i＝0,1,...,7
Figure PCTCN2018082459-appb-000001
为TRP提供8个宽波束的波束赋型向量，a j∈￡ 32×1为TRP提供32个窄波束的波束赋型向量，可表示为：
Figure PCTCN2018082459-appb-000002
Figure PCTCN2018082459-appb-000003
其中，β i,α j为波束中心方向角，在
Figure PCTCN2018082459-appb-000004
内均匀量化，可表示为：
Figure PCTCN2018082459-appb-000005
Figure PCTCN2018082459-appb-000006
定义第i个宽波束的接收质量为Q i，
Figure PCTCN2018082459-appb-000007
S302、所述基站接收到所述用户设备发送的最优窄波束的序号。
本申请实施例中，基站发送第一设定个数宽波束给用户设备，用户设备对所述第一设定个数宽波束进行波束扫描和波束训练，基站接收到用户设备根据波束训练确定的第一设定个数宽波束的接收质量的值确定出最优窄波束，减小了训练时间开销和接入延迟。
在一种可能的实现方式中，步骤S302之后，该方法还包括：
所述基站通过所述序号对应的最优窄波束向所述用户设备发送下行数据。
具体的，假设8个宽波束中的最优的宽波束的序号为3，在序号为3的宽波束中的4个窄波束中的第2个窄波束为最优窄波束，使用该最优窄波束进行下行数据传输。
本申请实施例的方法不仅适用于下行数据传输时基站发出的发射波束，也适用于上行数据传输时用户设备选择最优接收波束，本申请实施例不再进行赘述。
本申请提供的又一种数据传输方法流程图，如图6所示，包括：
S601、用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束。
S602、所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
S603、所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定 出最优窄波束。
具体的，所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比，所述用户设备通过所述对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束。
举例说明：TRP提供采用8根天线提供8个宽波束用于下行波束训练，UE选择具有最好接收质量的宽波束序号为i o，i o＝arg max 0≤i≤7Q i。基于宽波束训练确定出的i o，UE计算出用于数据服务的最优窄波束的序号，具体波束校准过程可以使用以下实验性校准函数：
j c＝f(i o,Q 0,Q 1,...Q 7)
其中，j c＝0,1,...,31为校准后的最优窄波束序号。
基于最优宽波束i o,可以限定校准后的最优窄波束的取值为j c＝{4i 0,4i 0+1,4i 0+2，4i 0+3}，其含义表明，用于下行数据传输的最优窄波束位于波束训练阶段的最优宽波束的覆盖范围内，进一步地，校准函数f为一个关于i o的分段对称函数，可表示为：
Figure PCTCN2018082459-appb-000008
本申请实施例中提出了使用波束质量对数似然比(Log-Likelihood Ratio of Beam-Quality,LLR-BQ)进行度量，其表达式为：
Figure PCTCN2018082459-appb-000009
上述公式可以适用于不同的TRP的发射功率，同时降低UE端校准函数的输入信号功率的动态范围，以LLR-BQ为输入的实验性的校准函数可表示为：
Figure PCTCN2018082459-appb-000010
上述校准函数实现方法为在UE端存储一张映射表，即不同的LLR-BQ的值到候选窄波束集合j c＝{4i 0,4i 0+1,4i 0+2，4i 0+3}的映射，最终确定出最优窄波束序号j c。
S604、所述用户设备将所述最优窄波束的序号发送给所述基站。
具体的，所述UE将校准得到的最优窄波束序号j c反馈给所述基站，由于0≤j c≤31，所以在反馈时可采用5比特表示j c。
本申请实施例中，当存在多个UE时，每个UE将校准得到的最优窄波束序号j c反馈给TRP，TRP根据反馈情况对UE进行调度，例如，当有多个UE反馈相同的最优窄波束序号给TRP进行下行数据服务时，可将发生波束冲突的UE分配到不同的时频资源块上进行服务。
在一种可能的实现方式中，步骤S604之后，该方法还包括：
所述用户设备接收到所述基站通过所述序号对应的最优窄波束发送的下行数据。
本申请提供的又一种数据传输方法流程图，对TRP与UE的交互过程进行具体描述，如图7所示，包括：
S701、基站确定第一设定个数宽波束。
S702、所述基站发送第一设定个数宽波束给用户设备进行波束训练。
S703、所述用户设备对接收到的所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
S704、所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，确定出所述最优宽波束的对数似然比。
S705、所述用户设备通过所述对数似然比在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束，即波束校准。
S706、所述用户设备将所述最优窄波束的序号反馈给所述基站，其中，所述用户设备反馈最优窄波束序号需要5比特。
S707、所述基站根据接收到的所述最优窄波束的序号，确定出最优窄波束，并使用所述最优窄波束进行下行数据传输。
上述方法对应的多波束系统下行波束训练与数据传输帧结构如图8所示。下面通过实例一，对上述方法进行说明，假设，噪声功率为
Figure PCTCN2018082459-appb-000011
时，确定出UE波束接入误差及仿真其平均下行频谱效率,，并与现有技术进行比较，定义校准误差的公式如下：
Figure PCTCN2018082459-appb-000012
其中，j c为校准得到的窄波束索引，j o为采用现有技术使用32个窄波束进行波束扫描与波束训练得到的最优窄波束结果，即
Figure PCTCN2018082459-appb-000013
该定义表明，当本申请所提出的校准得到的窄波束序号为事实上的最优序号时，不存在校准误差，否则存在校准误差。下面通过随机生成N＝20000次多UE分布说明本申请实例一的技术效果。UE在[30°，150°]均匀分布，需要接入的UE数N UE＝NK＝80000。仿真结果表明波束接入偏差|j c-j o|≤1，即校准得到的最优窄波束与实际最优窄波束保持一致或者相邻，即针对某个UE接入过程的校准误差是受限的。而针对多UE的接入，定义校准误差的期望为：
Figure PCTCN2018082459-appb-000014
仿真结果表明N(j c≠j o)＝2572,E(ε)≈3.2％，即初始接入过程中快速波束训练发生校准的偏差的概率为3.2％，在其他96.8％可能情况下，不发生校准误差，本申请实例一与现有技术性能一样，训练时间与接入延迟约为现有技术的1/4，当TRP服务4个UE，本申请实例一与现有技术的平均下行频谱效率作对比的仿真结果的累积分布函数(Cumulative Distribution Function,CDF)如图9所示。通过下表1给出了发生校准误差、不发生校准误差以及整体的平均下行频谱效率的对比。
表1
平均下行频谱效率(bps/Hz) 现有技术 实例一
ε＝1(3.2％) 4.93 4.73
ε＝0(96.8％) 4.93 4.93
平均性能 4.93 4.92
本申请提供的一种数据传输方法流程图，如图10所示，包括：
S1001、基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值。
S1002、所述基站接收到所述用户设备发送的最优宽波束的序号以及通过所述第一设定个数宽波束的接收质量的值确定出的所述最优宽波束的对数似然比。
S1003、所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
具体的，所述基站根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
所述基站通过所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
在一种可能的实现方式中，步骤S1003之后，该方法还包括：
所述基站通过所述序号对应的最优窄波束向对所述用户设备发送下行数据。
本申请提供的又一种数据传输方法流程图，如图11所示，包括：
S1101、用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束。
S1102、所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
S1103、所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比。
具体的，所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比。
S1104、所述用户设备将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站。
在一种可能的实现方式中，步骤S1104之后，该方法还包括：
所述用户设备接收到所述基站通过最优窄波束发送的下行数据。
本申请提供的又一种数据传输方法流程图，对TRP与UE的交互过程进行具体描述，如图12所示，包括：
S1201、基站确定第一设定个数宽波束。
S1202、所述基站发送第一设定个数宽波束给用户设备进行波束训练。
S1203、所述用户设备对接收到的所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
S1204、所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，确定出所述最优宽波束的对数似然比。
S1205、所述用户设备将所述最优宽波束序号以及所述所述最优宽波束的对数似然比反馈给所述基站，其中，所述用户设备反馈最优宽波束序号需要3比特，当最优宽波束的序号为i o＝0,7时，反馈所述最优宽波束的对数似然比的比特数为5比特，当最优宽波束的序号为i o＝1,...6时，反馈所述最优宽波束的对数似然比的比特数为10比特。
S1206、所述基站通过接收到的所述最优宽波束序号以及所述所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束，即波束校准。
S1207、所述基站根据确定出的最优窄波束向所述终端发送下行数据。
上述方法对应的多波束系统下行波束训练与数据传输帧结构如图13所示。采用与实例一相同的仿真环境进行实例二的仿真，本申请实例二、实例一与现有技术的平均下行频谱效率作对比的仿真结果的累积分布函数(Cumulative Distribution Function,CDF)如图14所示。通过下表2给出了发生校准误差、不发生校准误差以及整体的平均下行频谱效率的对比。
表2
平均下行频谱效率(bps/Hz) 现有技术 实例一 实例二
E(ε＝1) 0％ 3.2％ 5.5％
ε＝1 4.93 4.73 4.68
ε＝0 4.93 4.93 4.93
平均性能 4,93 4.92 4.91
本申请提供的一种数据传输方法流程图，如图15所示，包括：
S1501、基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束分别对应的接收质量的值。
S1502、所述基站接收到所述用户设备发送的最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值。
S1503、所述基站通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值确定出所述最优宽波束的对数似然比。
S1504、所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
具体的，所述基站根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
所述基站通过所述最优宽波束的对数似然比，在预先设置所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
在一种可能的实现方式中，步骤S1504之后，该方法还包括：
所述基站通过所述最优窄波束向所述用户设备发送下行数据。
本申请提供的又一种数据传输方法流程图，如图16所示，包括：
S1601、用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束。
S1602、所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
S1603、所述用户设备根据所述第一设定个数接收质量的值确定出最优宽波束。
所述用户设备将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站。
在一种可能的实现方式中，步骤S1603之后，该方法还包括：
所述用户设备接收到所述基站通过最优窄波束发送的下行数据。
本申请提供的又一种数据传输方法流程图，对TRP与UE的交互过程进行具体描述，如图17所示，包括：
S1701、基站确定第一设定个数宽波束。
S1702、所述基站发送第一设定个数宽波束给用户设备进行波束训练。
S1703、所述用户设备对接收到的所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
S1704、所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并确定出所述第一设定个数宽波束分别对应的数接收质量的值中最优接收质量的值以及至少一个次优接收质量的值，可选的，也可反馈兼容现有标准的RSRP，RSRQ等值。
S1705、所述用户设备将所述最优宽波束序号以及所述第一设定个数宽波束分别对应的数接收质量的值中最优接收质量的值以及至少一个次优接收质量的值反馈给所述基站，其中，所述用户设备反馈最优宽波束序号需要3比特，当最优宽波束的序号为i o＝0,7时，反馈最优接收质量的值以及至少一个次优接收质量的值的比特数为10比特，当最优宽波束的序号为i o＝1,...6时，反馈所述最优接收质量的值以及至少一个次优接收质量的值的比特数为105比特。
S1706、所述基站通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束的 接收质量的值确定出所述最优宽波束的对数似然比。
S1707、所述基站通过接收到的所述最优宽波束序号以及所述所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束，即波束校准。
S1708、所述基站根据确定出的最优窄波束向所述终端发送下行数据。
上述方法对应的多波束系统下行波束训练与数据传输帧结构如图18所示。采用与实例一相同的仿真环境进行实例三的仿真，本申请实例三、实例二、实例一与现有技术的平均下行频谱效率作对比的仿真结果的累积分布函数(Cumulative Distribution Function,CDF)如图19所示。通过下表3给出了发生校准误差、不发生校准误差以及整体的平均下行频谱效率的对比。
表3
平均下行频谱效率(bps/Hz) 现有技术 实例一 实例二 实例三
E(ε＝1) 0％ 3.2％ 5.5％ 7％
ε＝1 4.93 4.73 4.68 4.66
ε＝0 4.93 4.93 4.93 4.93
平均性能 4,93 4.92 4.91 4.90
基于与方法实施例同样的发明构思，本申请还提供了一种基站，如图20所示，该基站包括：
发送单元2001，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值。
接收单元2002，用于接收到所述用户设备发送的最优窄波束的序号。
本申请实施例中，提供了一种基站，所述基站发送第一设定个数宽波束给用户设备，用户设备对所述第一设定个数宽波束进行波束扫描和波束训练，基站接收到用户设备根据波束训练确定的第一设定个数宽波束的接收质量的值确定出最优窄波束，减小了训练时间开销和接入延迟。
在一种可能的实现方式中，所述发送单元2001还用于，
通过所述序号对应的最优窄波束向所述用户设备发送下行数据。
基于与方法实施例同样的发明构思，本申请还提供了一种用户设备，如图21所示，该用户设备包括：
接收单元2101，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束。
处理单元2102，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值.
所述处理单元2102还用于，根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优窄波束；发送单元，用于将所述最优窄波束的序号发送给所述基站。
本申请实施例中，提供了一种用户设备，所述用户设备接收到基站发送的第一设定个数宽波束，用户设备对所述第一设定个数宽波束进行波束扫描和波束训练，根据波束训练确定的第一设定个数宽波束的接收质量的值确定出最优窄波束，减小了训练时间开销和接入延迟。当存在多个用户设备时，每个用户设备都是按照上述过程选择对应的最优窄波束，互相之间不影响，提高了多用户设备场景的数据传输的服务质量。
在一种可能的实现方式中，所述接收单元2101还用于：
接收到所述基站通过所述序号对应的最优窄波束发送的下行数据。
在一种可能的实现方式中，所述处理单元2102具体用于：
根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比，通过所述对数似然比在所述最优宽波束包括的窄波束中确定出最优窄波束。
在一种可能的实现方式中，所述处理单元2102具体用于：
通过所述对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束。
本申请还提供了一种基站，如图22所示，该基站包括：
发送单元2201，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值.
接收单元2202，用于接收到所述用户设备发送的最优宽波束的序号以及通过所述第一设定个数宽波束的接收质量的值确定出的所述最优宽波束的对数似然比.
处理单元2203，用于根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
在一种可能的实现方式中，所述发送单元2201还用于：
通过所述序号对应的最优窄波束向对所述用户设备发送下行数据。
在一种可能的实现方式中，所述处理单元2203具体用于：
根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
通过所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
本申请还提供了一种用户设备，如图23所示，该用户设备包括：
接收单元2301，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束.
处理单元2302，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值。
所述处理单元2302还用于，根据所述第一设定个数宽波束分别对应的接收质量的值， 确定出最优宽波束，以及所述最优宽波束的对数似然比。
发送单元2303，用于将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站。
在一种可能的实现方式中，所述接收单元2301还用于：
接收到所述基站通过最优窄波束发送的下行数据。
在一种可能的实现方式中，所述处理单元2302具体用于：
根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比。
本申请还提供了一种基站，如图24所示，该基站包括：
发送单元2401，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束分别对应的接收质量的值。
接收单元2402，用于接收到所述用户设备发送的最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值。
处理单元2403，用于通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值确定出所述最优宽波束的对数似然比.
所述处理单元2403还用于，根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
在一种可能的实现方式中，所述发送单元还用于：
通过所述最优窄波束向所述用户设备发送下行数据。
在一种可能的实现方式中，所述处理单元具体用于：
根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
通过所述最优宽波束的对数似然比，在预先设置所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
本申请还提供了一种用户设备，如图25所示，该用户设备包括：
接收单元2501，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束。
处理单元2502，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；并根据所述第一设定个数接收质量的值确定出最优宽波束。
发送单元2503，用于将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站。
在一种可能的实现方式中，所述接收单元2501还用于：
接收到所述基站通过最优窄波束发送的下行数据。
本申请实施例中对模块的划分是示意性的，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，另外，在本申请各个实施例中的各功能模块可以集成在一个处理器中，也可以是单独物理存在，也可以两个或两个以上模块集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。
其中，集成的模块既可以采用硬件的形式实现时，如图26所示，基站可以包括处理器2601，上述处理单元2203或2403对应的实体的硬件可以为处理器2601。基站还可以包括收发器2604，上述发送单元2001、接收单元2002、发送单元2201、接收单元2202、发送单元2401或者接收单元2402对应的实体的硬件可以为收发器2604。处理器2601，可以是一个中央处理模块(英文：central processing unit，简称CPU)，或者为数字处理模块等等。该终端设备还包括：存储器2602，用于存储处理器2601执行的程序。存储器2602可以是非易失性存储器，比如硬盘(英文：hard disk drive，缩写：HDD)或固态硬盘(英文：solid-state drive，缩写：SSD)等，还可以是易失性存储器(英文：volatile memory)，例如随机存取存储器(英文：random-access memory，缩写：RAM)。存储器2602是能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质，但不限于此。
处理器2601用于执行存储器2602存储的程序代码，具体调用所述存储器2602中存储的程序指令。
本申请实施例中不限定上述处理器2601以及存储器2602之间的具体连接介质。本申请实施例在图26中处理器2601以及存储器2602之间通过总线2603连接，总线在图26中以粗线表示，其它部件之间的连接方式，仅是进行示意性说明，并不引以为限。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示，图26中仅用一条粗线表示，但并不表示仅有一根总线或一种类型的总线。
如图27所示，用户设备可以包括处理器2701，上述处理单元2102、处理单元2302或者处理单元2502对应的实体的硬件可以为处理器2701。用户设备还可以包括收发器2704，上述接收单元2101、接收单元2301、发送单元2303、接收单元2501或者发送单元2503对应的实体的硬件可以为收发器2704。处理器2701，可以是一个中央处理模块(英文：central processing unit，简称CPU)，或者为数字处理模块等等。该终端设备还包括：存储器702，用于存储处理器2701执行的程序。存储器2702可以是非易失性存储器，比如硬盘(英文：hard disk drive，缩写：HDD)或固态硬盘(英文：solid-state drive，缩写：SSD)等，还可以是易失性存储器(英文：volatile memory)，例如随机存取存储器(英文：random-access memory，缩写：RAM)。存储器2702是能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质，但不限于此。
处理器2701用于执行存储器2702存储的程序代码，具体调用所述存储器2702中存储的程序指令。
本申请实施例中不限定上述处理器2701以及存储器2702之间的具体连接介质。本申请实施例在图27中处理器2701以及存储器2702之间通过总线2703连接，总线在图 27中以粗线表示，其它部件之间的连接方式，仅是进行示意性说明，并不引以为限。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示，图27中仅用一条粗线表示，但并不表示仅有一根总线或一种类型的总线。
本发明实施例还提供了一种计算机可读存储介质，用于存储为执行上述处理器所需执行的计算机软件指令，其包含用于执行上述处理器所需执行的程序。
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统、或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本申请是参照根据本申请的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
显然，本领域的技术人员可以对本申请进行各种改动和变型而不脱离本申请的精神和范围。这样，倘若本申请的这些修改和变型属于本申请权利要求及其等同技术的范围之内，则本申请也意图包含这些改动和变型在内。

Claims (30)

  1. 一种数据传输方法，其特征在于，所述方法包括：
    基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；
    所述基站接收到所述用户设备发送的最优窄波束的序号。
  2. 如权利要求1所述的方法，其特征在于，所述基站确定出所述用户设备发送的最优窄波束的序号之后，该方法还包括：
    所述基站通过所述序号对应的最优窄波束向所述用户设备发送下行数据。
  3. 一种数据传输方法，其特征在于，所述方法包括：
    用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；
    所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；
    所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优窄波束；
    所述用户设备将所述最优窄波束的序号发送给所述基站。
  4. 如权利要求3所述的方法，其特征在于，所述用户设备将所述最优窄波束的序号发送给所述基站之后，该方法还包括：
    所述用户设备接收到所述基站通过所述序号对应的最优窄波束发送的下行数据。
  5. 如权利要求3所述的方法，其特征在于，所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优窄波束，包括：
    所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比，通过所述对数似然比在所述最优宽波束包括的窄波束中确定出最优窄波束。
  6. 如权利要求5所述的方法，其特征在于，所述用户设备通过所述对数似然比在所述最优宽波束包括的窄波束中确定出最优窄波束，包括：
    所述用户设备通过所述对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束。
  7. 一种数据传输方法，其特征在于，所述方法包括：
    基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；
    所述基站接收到所述用户设备发送的最优宽波束的序号以及通过所述第一设定个数宽波束的接收质量的值确定出的所述最优宽波束的对数似然比；
    所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
  8. 如权利要求7所述的方法，其特征在于，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号之后，该方法还包括：
    所述基站通过所述序号对应的最优窄波束向对所述用户设备发送下行数据。
  9. 如权利要求7所述的方法，其特征在于，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号，包括：
    所述基站根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
    所述基站通过所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
  10. 一种数据传输方法，其特征在于，所述方法包括：
    用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；
    所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；
    所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比；
    所述用户设备将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站。
  11. 如权利要求10所述的方法，其特征在于，所述用户设备将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站之后，该方法还包括：
    所述用户设备接收到所述基站通过最优窄波束发送的下行数据。
  12. 如权利要求10所述的方法，其特征在于，所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比，包括：
    所述用户设备根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比。
  13. 一种数据传输方法，其特征在于，所述方法包括：
    基站发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束分别对应的接收质量的值；
    所述基站接收到所述用户设备发送的最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值；
    所述基站通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值确定出所述最优宽波束的对数似然比；
    所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
  14. 如权利要求13所述的方法，其特征在于，所述基站根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号，包括：
    所述基站根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
    所述基站通过所述最优宽波束的对数似然比，在预先设置所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
  15. 一种数据传输方法，其特征在于，所述方法包括：
    用户设备接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；
    所述用户设备对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；
    所述用户设备根据所述第一设定个数接收质量的值确定出最优宽波束；
    所述用户设备将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站。
  16. 如权利要求15所述的方法，其特征在于，所述用户设备将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站之后，该方法还包括：
    所述用户设备接收到所述基站通过最优窄波束发送的下行数据。
  17. 一种基站，其特征在于，所述基站包括：
    发送单元，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；
    接收单元，用于接收到所述用户设备发送的最优窄波束的序号。
  18. 一种用户设备，其特征在于，所述用户设备包括：
    接收单元，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；
    处理单元，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；并根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优窄波束；
    发送单元，用于将所述最优窄波束的序号发送给所述基站。
  19. 如权利要求18所述的用户设备，其特征在于，所述处理单元具体用于：
    根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的数接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比，通过所述对数似然比在所述最优宽波束包 括的窄波束中确定出最优窄波束。
  20. 如权利要求18所述的用户设备，其特征在于，所述处理单元具体用于：
    通过所述对数似然比，在预先设置的所述最优宽波束对应的映射表中，查找所述对数似然比所对应的窄波束标识信息，将查找到的标识信息对应的窄波束作为所述最优窄波束。
  21. 一种基站，其特征在于，所述基站包括：
    发送单元，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束的接收质量的值；
    接收单元，用于接收到所述用户设备发送的最优宽波束的序号以及通过所述第一设定个数宽波束的接收质量的值确定出的所述最优宽波束的对数似然比；
    处理单元，用于根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
  22. 如权利要求21所述的基站，其特征在于，所述处理单元具体用于：
    根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
    通过所述最优宽波束的对数似然比，在预先设置的所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
  23. 一种用户设备，其特征在于，所述用户设备包括：
    接收单元，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；
    处理单元，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值；并根据所述第一设定个数宽波束分别对应的接收质量的值，确定出最优宽波束，以及所述最优宽波束的对数似然比；
    发送单元，用于将所述最优宽波束的序号以及所述最优宽波束的对数似然比发送给所述基站。
  24. 如权利要求23所述的用户设备，其特征在于，所述处理单元具体用于：
    根据所述第一设定个数宽波束分别对应的接收质量的值确定出最优宽波束，并在所述第一设定个数宽波束分别对应的接收质量的值中，选择最优接收质量的值以及至少一个次优接收质量的值，通过所述最优接收质量的值以及至少一个次优接收质量的值确定出所述最优宽波束的对数似然比。
  25. 一种基站，其特征在于，所述基站包括：
    发送单元，用于发送第一设定个数宽波束给用户设备进行波束训练，其中，每个宽波束中包含第二设定个数窄波束，所述波束训练用于用户设备确定所述第一设定个数宽波束分别对应的接收质量的值；
    接收单元，用于接收到所述用户设备发送的最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值；
    处理单元，用于通过所述最优宽波束对应的接收质量的值和至少一个次优宽波束 的接收质量的值确定出所述最优宽波束的对数似然比，并根据所述最优宽波束的序号以及所述最优宽波束的对数似然比确定出最优窄波束的序号。
  26. 如权利要求25所述的基站，其特征在于，所述处理单元具体用于：
    根据所述最优宽波束的序号，确定所述序号对应的最优宽波束；
    通过所述最优宽波束的对数似然比，在预先设置所述最优宽波束对应的映射表中查找所述对数似然比对应的窄波束标识信息，将查找到的窄波束标识信息作为所述最优窄波束的序号。
  27. 一种用户设备，其特征在于，所述用户设备包括：
    接收单元，用于接收到基站发送的第一设定个数宽波束，其中，每个宽波束中包含第二设定个数窄波束；
    处理单元，用于对所述第一设定个数宽波束进行波束训练，确定出所述第一设定个数宽波束分别对应的接收质量的值，并根据所述第一设定个数接收质量的值确定出最优宽波束；
    发送单元，用于将所述最优宽波束的序号，以及所述第一设定个数宽波束分别对应的接收质量的值中最优宽波束对应的接收质量的值和至少一个次优宽波束的接收质量的值发送给所述基站。
  28. 一种基站，其特征在于，包括：
    收发器、处理器和存储器；
    所述存储器用于存储软件程序，所述处理器用于读取所述存储器中存储的软件程序，通过所述收发器收发数据，并实现权利要求1至2、7至9以及13至15中任一项所述的方法。
  29. 一种用户设备，其特征在于，包括：
    收发器、处理器和存储器；
    所述存储器用于存储软件程序，所述处理器用于读取所述存储器中存储的软件程序，通过所述收发器收发数据，并实现权利要求3至6、10至12以及16至17中任一项所述的方法。
  30. 一种计算机可读存储介质，其特征在于，包括指令，当其在计算机上运行时，使得计算机执行权利要求1至2、7至9以及13至15中任一项或3至6、10至12以及16至17中任一项所述的方法。
PCT/CN2018/082459 2017-04-25 2018-04-10 一种数据传输方法和设备 WO2018196599A1 (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN201710278552.2 2017-04-25
CN201710278552 2017-04-25
CN201710360778.7 2017-05-19
CN201710360778.7A CN108738148B (zh) 2017-04-25 2017-05-19 一种数据传输方法和设备

Publications (1)

Publication Number Publication Date
WO2018196599A1 true WO2018196599A1 (zh) 2018-11-01

Family

ID=63920231

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/082459 WO2018196599A1 (zh) 2017-04-25 2018-04-10 一种数据传输方法和设备

Country Status (1)

Country Link
WO (1) WO2018196599A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020187135A1 (zh) * 2019-03-15 2020-09-24 华为技术有限公司 生成波束的方法和装置

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101978661A (zh) * 2008-03-17 2011-02-16 高通股份有限公司 Mimo系统中基于码本的多分辨率波束形成
US20130057432A1 (en) * 2011-09-02 2013-03-07 Samsung Electronics Co., Ltd. Method and apparatus for beam broadening for phased antenna arrays using multi-beam sub-arrays
CN103782524A (zh) * 2011-08-24 2014-05-07 三星电子株式会社 用于在无线通信系统中选择波束的装置和方法
CN106341170A (zh) * 2015-07-07 2017-01-18 北京信威通信技术股份有限公司 一种波束训练方法
CN106452543A (zh) * 2016-08-28 2017-02-22 中国电子科技集团公司第十研究所 定向天线通信成员间波束对准的时序控制方法
CN106487437A (zh) * 2015-08-27 2017-03-08 中兴通讯股份有限公司 基于宽窄波束接入的高频同步实现方法、系统及装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101978661A (zh) * 2008-03-17 2011-02-16 高通股份有限公司 Mimo系统中基于码本的多分辨率波束形成
CN103782524A (zh) * 2011-08-24 2014-05-07 三星电子株式会社 用于在无线通信系统中选择波束的装置和方法
US20130057432A1 (en) * 2011-09-02 2013-03-07 Samsung Electronics Co., Ltd. Method and apparatus for beam broadening for phased antenna arrays using multi-beam sub-arrays
CN106341170A (zh) * 2015-07-07 2017-01-18 北京信威通信技术股份有限公司 一种波束训练方法
CN106487437A (zh) * 2015-08-27 2017-03-08 中兴通讯股份有限公司 基于宽窄波束接入的高频同步实现方法、系统及装置
CN106452543A (zh) * 2016-08-28 2017-02-22 中国电子科技集团公司第十研究所 定向天线通信成员间波束对准的时序控制方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020187135A1 (zh) * 2019-03-15 2020-09-24 华为技术有限公司 生成波束的方法和装置

Similar Documents

Publication Publication Date Title
JP6737313B2 (ja) 電子デバイス及び方法
CN110086732B (zh) 一种信道估计方法和装置
US10171214B2 (en) Channel state information framework design for 5G multiple input multiple output transmissions
US10237034B2 (en) Device and method for transmitting feedback information in wireless communication system
EP3806346A1 (en) Method and device for feeding back channel state information, and method and device for determining pre-coding matrix
US11290910B2 (en) System and method for prioritization of network traffic across multiple wireless options
CN113873651B (zh) 通信方法和通信装置
CN113994600A (zh) 分层码本的设计和适配
WO2018228356A1 (zh) 通道校正的方法和网络设备
CN107872259B (zh) 一种码本生成方法和通信设备
US20140314011A1 (en) Method and base station for transmitting signal
US10588138B2 (en) Device and method for multi-input multi-output wireless communication system
WO2018196599A1 (zh) 一种数据传输方法和设备
WO2016044997A1 (zh) 一种波束跟踪方法、装置及系统
US20180261928A1 (en) Optimized Non-Uniform Linear Antenna Arrays
CN103475399A (zh) 干扰对齐方法和设备
CN110535579B (zh) 下行数据的传输方法、网络设备及终端
KR20210119824A (ko) 통신 시스템에서의 가시선 신호 검증 방법 및 장치
CN108738148B (zh) 一种数据传输方法和设备
WO2019024786A1 (zh) 通信方法和网络设备
US11956039B2 (en) Method and network device for beam vector selection
WO2019223665A1 (zh) 下行数据的传输方法、网络设备及终端
WO2024020951A1 (en) Beamforming scheme
WO2024007254A1 (en) Beamforming
CN113508538B (zh) 描绘每路径角度和延迟信息的信道状态信息（csi）反馈增强

Legal Events

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

Ref document number: 18790552

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18790552

Country of ref document: EP

Kind code of ref document: A1