WO2022105827A1 - 一种波束的处理方法及装置、通信设备 - Google Patents

一种波束的处理方法及装置、通信设备 Download PDF

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WO2022105827A1
WO2022105827A1 PCT/CN2021/131436 CN2021131436W WO2022105827A1 WO 2022105827 A1 WO2022105827 A1 WO 2022105827A1 CN 2021131436 W CN2021131436 W CN 2021131436W WO 2022105827 A1 WO2022105827 A1 WO 2022105827A1
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information
analog
beams
association relationship
following
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PCT/CN2021/131436
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English (en)
French (fr)
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杨昂
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维沃移动通信有限公司
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Priority to EP21893974.2A priority Critical patent/EP4250807A4/en
Publication of WO2022105827A1 publication Critical patent/WO2022105827A1/zh
Priority to US18/318,605 priority patent/US20230291458A1/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
    • H04B7/06952—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0408—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas using two or more beams, i.e. beam diversity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/046—Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
    • H04B7/06952—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping
    • H04B7/06956—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping using a selection of antenna panels
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
    • H04B7/06952—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping
    • H04B7/06964—Re-selection of one or more beams after beam failure
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/16—Discovering, processing access restriction or access information

Definitions

  • the present application belongs to the field of communication technologies, and in particular relates to a beam processing method and apparatus, and communication equipment.
  • Embodiments of the present application provide a beam processing method and device, and a communication device, which can solve the problem that when there are many beams in the related art, if a terminal or a network side device wants to obtain detailed beam information, it will lead to a large resource overhead. question.
  • a beam processing method which is performed by a first communication device and includes: acquiring quality information of a first beam; and determining quality information of a second beam according to the quality information of the first beam.
  • a beam processing apparatus comprising: an acquisition module for acquiring quality information of a first beam; a determination module for determining quality information of a second beam according to the quality information of the first beam.
  • a communication device comprising a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or instruction being executed by the processor When executed, the steps of the method as described in the first aspect are implemented.
  • a readable storage medium is provided, and a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method according to the first aspect are implemented.
  • a fifth aspect provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a network-side device program or instruction, implementing the method described in the first aspect. method described.
  • a computer program product is provided, the computer program product is stored in a non-volatile storage medium, the computer program product is executed by at least one processor to implement the method of the first aspect.
  • the quality information of the second beam can be determined according to the quality information of the first beam, so that when there are many beams, the quality information of a part of the beams can be passed through.
  • the quality information determines the quality information of another part of the beam, thereby saving the resource overhead and solving the problem that in the related art in the case of many beams, if the terminal or the network side device needs to obtain the detailed beam information, it will lead to a large resource overhead. question.
  • FIG. 1 shows a block diagram of a wireless communication system to which an embodiment of the present application can be applied
  • FIG. 2 shows a schematic diagram of a neural network to which an embodiment of the present application can be applied
  • FIG. 3 shows a schematic diagram of a neuron in a neural network according to an embodiment of the present application
  • FIG. 4 is a flowchart of a beam processing method according to an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of a processing device according to an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of a communication device according to an embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of a terminal according to an embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a network side device according to an embodiment of the present application.
  • first, second and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and "first”, “second” distinguishes Usually it is a class, and the number of objects is not limited.
  • the first object may be one or multiple.
  • “and/or” in the description and claims indicates at least one of the connected objects, and the character “/" generally indicates that the associated objects are in an "or” relationship.
  • LTE Long Term Evolution
  • LTE-Advanced LTE-Advanced
  • LTE-A Long Term Evolution
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single-carrier Frequency-Division Multiple Access
  • system and “network” in the embodiments of the present application are often used interchangeably, and the described technology can be used not only for the above-mentioned systems and radio technologies, but also for other systems and radio technologies.
  • NR New Radio
  • the following description describes a New Radio (NR) system for example purposes, and uses NR terminology in most of the description below, but these techniques can also be applied to applications other than NR system applications, such as 6th Generation (6th Generation) , 6G) communication system.
  • 6th Generation 6th Generation
  • 6G 6th Generation
  • FIG. 1 shows a block diagram of a wireless communication system to which the embodiments of the present application can be applied.
  • the wireless communication system includes a terminal 11 and a network-side device 12 .
  • the terminal 11 may also be called a terminal device or a user terminal (User Equipment, UE), and the terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital computer Assistant (Personal Digital Assistant, PDA), handheld computer, netbook, ultra-mobile personal computer (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), wearable device (Wearable Device) or vehicle-mounted device (VUE), pedestrian terminal (PUE) and other terminal-side devices, wearable devices include: bracelets, headphones, glasses, etc.
  • PDA Personal Digital Assistant
  • the network side device 12 may be a base station or a core network, wherein the base station may be referred to as a Node B, an evolved Node B, an access point, a Base Transceiver Station (BTS), a radio base station, a radio transceiver, a basic service Set (Basic Service Set, BSS), Extended Service Set (Extended Service Set, ESS), Node B, Evolved Node B (eNB), Home Node B, Home Evolved Node B, WLAN Access Point, WiFi Node, Send Transmitting Receiving Point (TRP) or some other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms.
  • the base station in the NR system is taken as an example, but the specific type of the base station is not limited.
  • a neural network is shown in Figure 2, where the neural network is composed of neurons, and the schematic diagram of the neurons is shown in Figure 3, where a1, a2, ... aK are the inputs, w is the weight (multiplicative coefficient), b is the bias (additive coefficient), and ⁇ (.) is the activation function; among them, common activation functions include Sigmoid, tanh, linear rectification function, Rectified Linear Unit (ReLU) and so on.
  • ReLU Rectified Linear Unit
  • the parameters of the neural network are optimized by an optimization algorithm, which is a kind of algorithm that can help us minimize or maximize the objective function (sometimes called the loss function).
  • the objective function is often a mathematical combination of model parameters and data. For example, given data X and its corresponding label Y, build a neural network model f(.), after having the model, the predicted output f(x) can be obtained according to the input x, and the predicted value and the real value can be calculated. The gap between (f(x)-Y), this is the loss function.
  • the purpose is to find a suitable W, b to minimize the value of the above loss function. The smaller the loss value, the closer the model is to the real situation.
  • the current common optimization algorithms are basically based on the error back propagation (error Back Propagation, BP) algorithm.
  • BP error Back Propagation
  • the basic idea of the BP algorithm is that the learning process consists of two processes, the forward propagation of the signal and the back propagation of the error.
  • input samples are passed in from the input layer, processed layer by layer in each hidden layer, and then transmitted to the output layer. If the actual output of the output layer does not match the expected output, it goes to the back-propagation stage of the error.
  • the error back propagation is to pass the output error back to the input layer layer by layer through the hidden layer in some form, and distribute the error to all units of each layer, so as to obtain the error signal of each layer unit, and this error signal is used as the correction unit. basis of weight.
  • the weight adjustment process of each layer of signal forward propagation and error back propagation is carried out repeatedly.
  • the process of continuously adjusting the weights is the learning and training process of the network. This process continues until the error of the network output is reduced to an acceptable level, or until a preset number of learning times is reached.
  • GD Gradient Descent
  • SGD Stochastic Gradient Descent
  • ADAptive GRADient descent Adagrad
  • Adadelta adaptive learning rate
  • root mean square error deceleration root mean square prop, RMSprop
  • adaptive momentum estimation Adaptive Moment Estimation, Adam
  • LTE Long Term Evolution
  • LTE-Advanced, LTE-A Long Term Evolution
  • OFDM Orthogonal Frequency Division Multiplexing
  • the MIMO technology utilizes the spatial degrees of freedom that the multi-antenna system can obtain to improve the peak rate and system spectrum utilization.
  • MIMO Multiple-User MIMO
  • TM Transmission Mode
  • Rel-10 the transmission capability of SU-MIMO (Single-User MIMO) is extended to a maximum of 8 data layers.
  • 3GPP has completed the research project of 3D channel modeling, and is carrying out the research and standardization of eFD-MIMO and NR MIMO. It is foreseeable that in the future 5G mobile communication system, MIMO technology with larger scale and more antenna ports will be introduced.
  • Massive MIMO technology uses a large-scale antenna array, which can greatly improve the efficiency of system frequency band utilization and support a larger number of access users. Therefore, major research organizations regard massive MIMO technology as one of the most potential physical layer technologies in the next generation mobile communication system.
  • digital-analog hybrid beamforming technology came into being, that is, on the basis of traditional digital domain beamforming, a first-level beamforming is added to the RF signal at the front end of the antenna system. shape.
  • the analog shaping can achieve rough matching between the transmitted signal and the channel in a relatively simple way.
  • the dimension of the equivalent channel formed after analog shaping is smaller than the actual number of antennas, so the required AD/DA conversion devices, the number of digital channels and the corresponding baseband processing complexity can be greatly reduced.
  • the residual interference of the analog shaped part can be processed again in the digital domain to ensure the quality of MU-MIMO transmission.
  • digital-analog hybrid beamforming is a compromise between performance and complexity.
  • the working frequency band supported by the system is increased to above 6GHz, up to about 100GHz.
  • the high frequency band has abundant idle frequency resources, which can provide greater throughput for data transmission.
  • 3GPP has completed the high-frequency channel modeling work.
  • the high-frequency signal has a short wavelength.
  • more antenna elements can be arranged on the same size panel, and the beamforming technology is used to form a stronger directivity. , a beam with narrower lobes. Therefore, the combination of large-scale antennas and high-frequency communication is also one of the future trends.
  • the analog beamforming is transmitted in full bandwidth, and each polarization direction array element on the panel of each high-frequency antenna array can only transmit the analog beam in a time-division multiplexed manner.
  • the shaping weight of the analog beam is realized by adjusting the parameters of the radio frequency front-end phase shifter and other equipment.
  • the training of analog beamforming vectors is usually performed in a polling manner, that is, the array elements in each polarization direction of each antenna panel transmit training signals in turn at the appointed time in a time-division multiplexing manner (That is, the candidate shaping vector), the terminal feeds back the beam report after the measurement, so that the network side can use the training signal to realize the analog beam transmission in the next service transmission.
  • the content of the beam report usually includes the identification of several optimal transmit beams and the measured received power of each transmit beam.
  • the network When performing beam measurement, the network configures a reference signal resource set (RS resource set), which includes at least one reference signal resource, such as SSB resource or CSI-RS resource.
  • RS resource set which includes at least one reference signal resource, such as SSB resource or CSI-RS resource.
  • the UE measures the L1-RSRP/L1-SINR of each RS resource, and reports the optimal at least one measurement result to the network, and the reported content includes SSBRI or CRI, and L1-RSRP/L1-SINR.
  • the content of the report reflects at least one optimal beam and its quality, and is used by the network to determine the beam used to transmit the channel or signal to the UE.
  • the network can make beam indications for downlink and uplink channels or reference signals, which are used to establish a beam link between the network and the UE to realize channel or reference signal transmission.
  • RRC Radio Resource Control
  • TCIs transmission configuration indications
  • MAC CE media access control layer control unit
  • no additional MAC CE command is required.
  • the UE monitors the PDCCH, it uses the same Quasi-colocation (QCL) for all search spaces in the CORESET, that is, the same TCI state to monitor the PDCCH.
  • QCL Quasi-colocation
  • the reference signal (Reference Signal, RS) in the TCI state such as the periodic channel state information reference signal (Channel State Information Reference Signal, CSI-RS) resource, semi-persistent CSI-RS resource, SS block, etc., and UE-specific PDCCH DMRS ports are spatially QCL.
  • the UE can know which receive beam to use to receive the PDCCH according to the TCI state.
  • the network configures M TCI states through RRC signaling, and then uses the MAC CE command to activate 2N TCI states, and then informs the TCI state through the N-bit TCI field of DCI.
  • the DMRS port of the scheduled PDSCH is QCL.
  • the UE can know which receive beam to use to receive the PDSCH according to the TCI state.
  • the network configures QCL information for the CSI-RS resource through RRC signaling.
  • the network indicates its QCL information when activating a CSI-RS resource from the CSI-RS resource set configured by the RRC through the MAC CE command.
  • the network configures QCL for the CSI-RS resource through RRC signaling, and uses DCI to trigger the CSI-RS.
  • the network uses RRC signaling to configure spatial relation information (spatial relation information) for each PUCCH resource through the parameter PUCCH-SpatialRelationInfo.
  • spatial relation information spatial relation information
  • the spatial relation is configured for the Physical Uplink Control Channel (PUCCH) resource
  • PUCCH Physical Uplink Control Channel
  • the information contains multiple pieces of information
  • use the MAC-CE to indicate or activate one of the spatial relationship information.
  • the spatial relationship information configured for the PUCCH resource contains only one, no additional MAC CE command is required.
  • the spatial relationship information of the PUSCH is that when the DCI carried on the PDCCH schedules the PUSCH, each SRI codepoint of the SRI field in the DCI indicates an SRI, which is used for Indicates the spatial relationship information of the PUSCH.
  • the network configures spatial relationship information for the SRS resource through RRC signaling.
  • the SRS type is semi-persistent SRS
  • the network activates one from a set of spatial relationship information configured by RRC through a MAC CE command.
  • the SRS type is aperiodic SRS
  • the network configures spatial relationship information for the SRS resource through RRC signaling.
  • the beam information, spatial relationship information, spatial domain transmission filter information, spatial filter information, TCI state information, QCL information, QCL parameters, Spatial relationship information, etc. the meanings are similar.
  • the downlink beam information can usually be represented by TCI state information and QCL information.
  • Uplink beam information can generally be represented using spatial relationship information.
  • Beam failure detection The terminal measures the beam failure detection reference signal (Beam Failure Detection Reference Signal, BFD RS) at the physical layer, and judges whether a beam failure event occurs according to the measurement results.
  • the judgment condition is: if it is detected that the metric (hypothetical PDCCH BLER) of all serving beams satisfies the preset condition (exceeds the preset threshold), it is determined to be a beam failure instance (Beam Failure Instance, BFI), UE physical
  • the layer reports an indication to the upper layer (MAC layer) of the UE.
  • the reporting process is periodic.
  • the BFI reporting period is the shortest period of the BFD RS, and the lower bound is 2ms.
  • the UE physical layer determines that BFI (beam failure instance) does not occur, no indication is sent to the upper layer.
  • the upper layer of the UE uses a counter and a timer to count the BFI reported by the physical layer, restarts the timer every time a BFI is received, and re-counts when the timer expires.
  • the counter reaches the network configuration the maximum number of times, the UE declares that a beam failure event has occurred.
  • the timers and counters of the MAC layer of the UE are configured for each active BWP, and the startup and maintenance of the timers and counters on each BWP are independent, that is, the timers and counters of each BWP work independently, Including start, reset, counting, timing, etc.
  • New candidate beam identification The physical layer of the terminal measures the candidate beam reference signal (candidate beam RS) to find new candidate beams. This step is not mandatory after the beam failure event (beam failure event) occurs, but can also be before.
  • the UE physical layer receives a request or instruction or notification from the UE higher layer (MAC layer)
  • it will meet the measurement result of the preset condition (the measurement L1-RSRP of the candidate beam reference signal (candidate beam RS) exceeds the preset threshold)
  • the content of the report is ⁇ beam RS index, L1-RSRP ⁇ .
  • the upper layer of the UE selects the candidate beam (candidate beam) based on the report of the physical layer.
  • Beam failure recovery request (Beam failure recovery request, BFRQ): UE upper layer (MAC layer) determines the PRACH resource according to the selected candidate beam. If the UE finds a candidate beam and configures a non-contention PRACH resource, the UE sends the above-mentioned BFRQ to the base station using the non-contention PRACH. Otherwise, the UE may use contention-based PRACH resources. When the BFRQ times out, only contention-based PRACH resources can be used. The total number of times the two PRACH resources are used cannot exceed the preset value.
  • the non-contention PRACH resource and other PRACH resources (such as PRACH resources for initial access) may be FDM or CDM.
  • PUCCH transmission of BFRQ is also supported.
  • Beam failure recovery response After the base station receives the BFRQ, it will send a response (response) in the dedicated PDCCH on the configured CORESET-BFR, and carry the cell wireless network temporary identifier (Cell-Radio Network Temporary Identifier, C-RNTI), and may also include switching to a new candidate beam, or restarting beam search, or other indications.
  • C-RNTI Cell-Radio Network Temporary Identifier
  • the downlink RS of CORESET-BFR and the candidate beam found by the UE is spatial QCL. If the beam failure recovery is unsuccessful, the UE physical layer sends an indication to the UE high layer for the high layer to determine the subsequent radio link failure process.
  • CA carrier aggregation
  • carriers carriers
  • component carriers CC multiple cells
  • cells in which there is one primary cell, such as a primary cell group A primary cell (Primary cell, PCell) in a (master cell group, MCG), or a primary secondary cell (Primary secondary cell, PSCell) in a secondary cell group (secondary cell group, SCG) and at least one secondary cell (Secondary cell, Scell).
  • FIG. 4 is a flowchart of the method for processing a beam according to an embodiment of the present application. As shown in FIG. 4 , the steps of the method include:
  • Step S402 acquiring quality information of the first beam
  • Step S404 Determine the quality information of the second beam according to the quality information of the first beam.
  • the quality information of the second beam can be determined according to the quality information of the first beam, so that when there are many beams, the quality information of the second beam can be determined
  • the quality information of one part of the beams is determined by the quality information of the other part of the beams, thereby saving the resource overhead and solving the problem in the related art that in the case of many beams, if the terminal or network side device wants to obtain the detailed beam information, it will lead to The problem of high resource cost.
  • the method for acquiring the quality information of the first beam involved in step S402 of the embodiment of the present application may further include:
  • Step S402-11 Receive configuration information sent by the second communication device, where the configuration information includes resource information of the first beam;
  • Step S402-12 Measure the first beam according to the resource information of the first beam, and obtain the quality information of the first beam.
  • the method of determining the quality information of the second beam according to the quality information of the first beam involved in step S404 in this embodiment of the present application may be: determining the quality information of the second beam according to the quality information and the association relationship of the first beam.
  • Quality information wherein the association relationship refers to the association relationship between the first beam and the second beam.
  • association relationship in the embodiment of the present application is determined by at least one of the following:
  • the configuration information carries the association relationship between the first beam and the second beam
  • the indication information is used to instruct the use of the first artificial intelligence module to determine the association relationship, or to instruct the second communication device to obtain information from multiple artificial intelligence modules.
  • the parameter information may include: the identifier of the artificial intelligence module, the type, algorithm of the artificial intelligence module, and information of each element in it.
  • the identifier of the artificial intelligence module For example, for a neural network, at least one of the following is included: the structure of the neural network, the number of layers, the number of neurons in a certain layer, the coefficients of neurons (multiplicative coefficients and/or additive coefficients), activation functions, and the like.
  • determining the association relationship by the first artificial intelligence module means that the input of the first artificial intelligence module is at least one beam in the first beam, and the output of the first artificial intelligence module is at least one beam in the second beam, or, the first The input of the artificial intelligence module is at least one of the second beams, and the output of the first artificial intelligence module is at least one of the first beams.
  • the input and/or output of the artificial intelligence module is the identifier of the beam, and/or the resource of the beam, and/or the beamforming information of the beam, and/or the beam quality of the beam.
  • the agreement may refer to agreeing on a specific association relationship, or it may agree on how to determine the association relationship.
  • the second beam in the embodiment of the present application is a beam to be reported or a candidate beam.
  • the candidate beams may be specially configured candidate beams, or all available beams, or all configured available beams, or all possible beams that may be used, or all possible reported beams.
  • the first beam in this embodiment of the present application includes at least one of the following: a measurement beam in beam training, a measurement beam in beam measurement, a beam in beam reporting, and radio link monitoring (Radio Link Monitoring, RLM). ), the measurement beam in Radio Resource Management (RRM), the measurement beam used for neighbor cell measurement; based on this, the second beam in the embodiment of the present application includes at least one of the following: beam reporting The beam in the beam reference information, the beam in the quasi-co-located QCL information, the beam used to reflect the wireless link performance, the beam in the RRM corresponding report, the beam in the neighbor beam report.
  • RLM Radio Link Monitoring
  • RRM Radio Resource Management
  • the beam training includes at least one of the following: beam training at layer 1L1, beam training at layer 3L3; and/or beam measurement includes at least one of the following: beam measurement at L1, beam measurement at L3; and/or beam reporting It includes at least one of the following: beam report of L1, beam report of layer 3 and L3; and/or, the beam reference information includes at least one of the following: beam reference information of a channel, beam reference information of a signal; and/or, the QCL information includes the following At least one item: QCL information of the channel, QCL information of the signal.
  • the types of the first beam and the second beam may be:
  • the second beam is a beam to be reported or a candidate beam in the L1 beam report;
  • the second beam is a measurement beam in L3 beam training and/or beam measurement
  • the second beam is a beam to be reported or a candidate beam in the L3 beam report
  • the first beam is the measurement beam in L1/L3 beam training and/or beam measurement, or the first beam is the beam in the L1/L3 beam report, the first beam is the channel and/or signal beam The beam or candidate beam to be reported in the beam reference/QCL information.
  • the channels in the embodiments of the present application include at least one of the following: physical downlink control channel PDCCH, physical downlink shared channel PDSCH, physical uplink control channel PUCCH, physical uplink shared channel PUSCH, physical random access channel PRACH, physical broadcast channel PBCH ;
  • the signals in the embodiments of the present application include at least one of the following: demodulation reference signal DMRS, channel sounding reference signal SRS, synchronization signal block SSB, tracking reference signal TRS, phase tracking reference signal PTRS, and channel state information reference signal CSI-RS.
  • the second beam is the beam or candidate beam to be reported in the RRM corresponding report
  • the triggering condition of the event-triggered measurement behavior in the RRM is based on one of the following: beam quality of the first beam and beam quality of the second beam.
  • the triggering condition of the event-triggered reporting behavior in the RRM is based on one of the following: beam quality of the first beam and beam quality of the second beam.
  • the second beam is a beam reflecting the performance of the wireless link, for example, to determine whether it is in-sync and/or out-of-sync and/or radio link failure beams;
  • the second beam is the beam or candidate beam to be reported in the neighboring cell beam report, For example, L1 beam reporting and/or L3 beam reporting.
  • the first beam may further include at least one of the following: a measurement beam of the synchronization signal block SSB, a measurement beam of the system information block SIB, and a measurement beam of the first control resource set CORESET , a beam that needs to be measured due to beam failure detection, a beam that needs to be measured due to a new beam indication in beam failure; and, the second beam may also include at least one of the following: a beam used by the random access channel RACH, a beam used in a beam failure Beam for judging whether a beam failure occurs, or a newly selected beam in beam failure.
  • the types of the first beam and the second beam in this embodiment of the present application may also be:
  • the first beam is one of the following measurement beams: SSB, SIB, CORESET#0
  • the second beam is a candidate beam used by a random access channel (Random Access Channel, RACH), for example, used in the RACH phase
  • RACH Random Access Channel
  • the second beam is the newly selected beam in the beam failure.
  • the beam reported by the physical layer to the upper layer is the first beam, or the physical layer The beam reported to the upper layer is the second beam.
  • the above-mentioned first mathematical operation mode is merely an example, and in other application scenarios of the embodiments of the present application, the first mathematical operation mode may be set correspondingly according to the actual situation.
  • the relationship between the first beam and the second beam can be determined by beam training/beam management/beam measurement/SIB/MIB/cell configuration information/physical cell configuration information/physical layer configuration information/higher layer configuration information and other configuration information To configure, it can include: explicit relationship and implicit relationship;
  • the explicit relationship that is, the relationship or coefficient of the second beam constituting the first beam is directly configured.
  • the implicit relationship that is, the relationship is agreed by the protocol or configured by the network.
  • the relationship between the first beam and the second beam can be determined by beam training/beam management/beam measurement/SIB/MIB/cell configuration information/physical cell configuration information/physical layer configuration information/higher layer configuration information and other configuration information To configure, it can include: explicit relationship and implicit relationship;
  • the implicit relationship is defined by the protocol and configured by the network.
  • the first beam is a subset of the second beam; for example, the first beam is a subset of all beams, or the first beam is a subset of the second beam.
  • the third association relationship means that after at least one first beam is used as the input of the artificial intelligence network, the output of the artificial intelligence network is at least one second beam;
  • the fourth association relationship means that after inputting at least one second beam artificial intelligence network, the output of the artificial intelligence network is at least one first beam;
  • the input of the AI network is at least one beam in the second beam, and the output of the AI network is at least one beam in the first beam.
  • the input of the AI network is at least one beam in the first beam, and the output of the AI network is at least one beam in the second beam.
  • the manner of the association relationship determined by the beamforming information includes at least one of the following: directly configuring the association relationship through the beamforming information; through the association between the beamforming information and the first beam, the The association between the beamforming information and the second beam determines the association; the association is derived from the beamforming information.
  • the above-mentioned method of directly configuring the association relationship through the beamforming information is a method of directly specifying the specific beamforming information of the beam, that is, the beamforming information is configured in the beam information, that is, through the beamforming information
  • the shaping information can obtain the relationship between the first beam and the second beam. For example, if the beamforming vectors of each beam are known, the beamforming vector of the first beam can be combined with the beamforming vector of the second beam through mathematical operations, or the beamforming vector of the second beam can be combined The vectors are mathematically combined from the beamforming vectors of the first beam.
  • the method is an indirect method, that is, the beamforming information configuration is associated with the beam information. For example, N beamforming vectors are specified, indicating how the beam information is composed of these vectors.
  • a fifth association relationship wherein the fifth association relationship is used to indicate that the configuration information of the first beam and the configuration information of the second beam are respectively configured in different lists.
  • a plurality of antenna panels are provided on the first communication device, and each antenna panel uses a different or the same beam.
  • a second beam is formed through multiple antenna panels according to the association relationship; if each antenna panel uses at least one second beam, according to the association relationship, the A plurality of antenna panels form a first beam.
  • a digital-to-analog converter, an analog-to-digital converter, or a radio frequency module is provided on the first communication device, and the digital-to-analog converter, the analog-to-digital converter, or the radio frequency module converts the amplitude of at least one beam and/or phase mix.
  • the digital-to-analog converter or the analog-to-digital converter or the radio frequency module combines at least one first beam into the second beam according to the association relationship; or, the digital-to-analog converter or the analog-to-digital converter or the radio frequency module according to the association relationship , and combine at least one second beam into a first beam.
  • the factors for determining the association relationship include at least one of the following: hardware information of the first communication device, analog beam selection, and channel environment.
  • the hardware information includes at least one of the following: beam-related parameters, antenna-related parameters, and processing capability-related parameters.
  • the beam-related parameters include at least one of the following: supported analog beam granularity, supported analog beam precision, supported analog beam optional values, granularity of elements in the analog beamforming vector, analog beamforming
  • the precision of the elements in the analog beamforming vector, the optional value of the elements in the analog beamforming vector, the granularity of the elements in the analog beamforming vector, the precision of the elements in the analog beamforming vector, the optional value of the elements in the analog beamforming vector value number of beams combined into analog beams, number of analog beams supported, number of main emission directions of analog beams, accuracy of digital-to-analog converters related to analog beamforming, capabilities of digital-to-analog converters related to analog beamforming , Accuracy of analog-to-digital converters related to analog beamforming, capabilities of analog-to-digital converters related to analog beamforming, accuracy of radio frequency modules related to analog beamforming, capabilities of radio frequency modules related to analog beamforming.
  • the antenna-related parameters include at least one of the following: the number of antenna elements, the number of TXRUs, the number of antenna panels, the distribution/position of the antenna array, the beamforming capability (envelope) of the antenna array, the distribution/position of the antenna panels (such as the How to place it in the UE, whether a panel is on the front or side or back of the screen of the UE, where is the specific location), and whether there is beam correspondence.
  • the parameters related to processing capability include at least one of the following: signal processing capability, data computing capability, storage capability, central processing unit (CPU), graphics processing unit (GPU), neural network processor (neural- network process units, NPU).
  • signal processing capability data computing capability
  • storage capability central processing unit (CPU), graphics processing unit (GPU), neural network processor (neural- network process units, NPU).
  • CPU central processing unit
  • GPU graphics processing unit
  • NPU neural network processor
  • parameters related to the processing capability of the network device and/or parameters related to the processing capability of the terminal device are included.
  • the analog beam selection includes at least one of the following: a specifically configured analog beam type, a specifically configured analog beam accuracy, a specifically configured analog beam parameter, a specifically configured analog beam range, a selected analog beam type, a selected analog beam accuracy, Selected Analog Beam Parameters, Selected Analog Beam Range, Available Analog Beam Types, Available Analog Beam Accuracy, Available Analog Beam Parameters, Available Analog Beam Range.
  • it includes analog beam selection of network equipment, and/or analog beam selection of terminal equipment.
  • the channel environment includes at least one of the following: transmit power, noise power, interference power, line-of-sight transmission LOS of wireless signals, non-line-of-sight transmission NLOS of wireless signals, time delay information, scattering conditions, channel time variability, terminal moving speed, Terminal rotation speed, occlusion change speed around the terminal, and occlusion.
  • the execution subject may be a beam processing apparatus, or a control module in the beam processing apparatus for executing the beam processing method.
  • the beam processing device provided by the embodiments of the present application is described by taking the beam processing device performing the beam processing method as an example.
  • An embodiment of the present application provides a beam processing apparatus, as shown in FIG. 5 , the apparatus includes:
  • an acquisition module 52 configured to acquire quality information of the first beam
  • the determining module 54 is configured to determine the quality information of the second beam according to the quality information of the first beam.
  • the quality information of the second beam can be determined according to the quality information of the first beam, so that when there are many beams, part of the beams can be passed through.
  • the quality information of the other part of the beam is determined by the quality information of the other part of the beam, thereby saving the resource overhead, and solving the problem of the related art in the case of many beams, if the terminal or network side equipment needs to obtain detailed beam information, it will lead to a large resource overhead. The problem.
  • the obtaining module 52 in this embodiment of the present application may further include: a receiving unit, configured to receive configuration information sent by the second communication device, where the configuration information includes resource information of the first beam; a first measuring unit, used for The first beam is measured according to the resource information of the first beam to obtain the quality information of the first beam.
  • the determining module 54 in this embodiment of the present application may be further configured to determine the quality information of the second beam according to the quality information of the first beam and an association relationship, wherein the association relationship refers to the first beam and the The relationship of the second beam.
  • association relationship in the embodiment of the present application is determined by at least one of the following:
  • the configuration information carries the association relationship between the first beam and the second beam
  • the indication information is used to instruct the use of the first artificial intelligence module to determine the association relationship, or to instruct the second communication device to select from a plurality of artificial intelligence modules; the described first artificial intelligence module, or parameter information for indicating the second artificial intelligence module;
  • the first artificial intelligence module it may be selected by the second communication device from multiple artificial intelligence modules.
  • the parameter information of the second artificial intelligence module can also be selected from the parameter information of multiple artificial intelligence modules, and after indicating the parameter information of the second artificial intelligence module, the first communication device can directly pass the parameter information The information determines a second artificial intelligence module, and then the association relationship between the first beam and the second beam is determined through the second artificial intelligence module.
  • the first beam includes at least one of the following: a measurement beam in beam training, a measurement beam in beam measurement, a beam in beam reporting, a measurement beam in radio link monitoring RLM, and a measurement in radio resource management RRM A beam, a measurement beam used for neighbor cell measurement;
  • the second beam includes at least one of the following: a beam in a beam report, a beam in beam reference information, a beam in quasi-co-located QCL information, a beam used to reflect wireless link performance Beam, Beam in RRM Corresponding Report, Beam in Neighbor Beam Report.
  • the beam training in this embodiment of the present application includes at least one of the following: beam training at layer 1L1, beam training at layer 3L3; and/or, beam measurement includes at least one of the following: beam measurement at L1, beam at L3 measurement; and/or, the beam report includes at least one of the following: beam report of L1, beam report of layer 3 and L3; and/or, the beam reference information includes at least one of the following: beam reference information of a channel, beam reference information of a signal; And/or, the QCL information includes at least one of the following: QCL information of a channel and QCL information of a signal.
  • the channel in this embodiment of the present application includes at least one of the following: physical downlink control channel PDCCH, physical downlink shared channel PDSCH, physical uplink control channel PUCCH, physical uplink shared channel PUSCH, physical random access channel PRACH, physical broadcast channel PBCH;
  • the signal in this embodiment of the present application includes at least one of the following: a demodulation reference signal DMRS, a channel sounding reference signal SRS, a synchronization signal block SSB, a tracking reference signal TRS, a phase tracking reference signal PTRS, and a channel state information reference signal CSI-RS.
  • a demodulation reference signal DMRS a demodulation reference signal DMRS, a channel sounding reference signal SRS, a synchronization signal block SSB, a tracking reference signal TRS, a phase tracking reference signal PTRS, and a channel state information reference signal CSI-RS.
  • the trigger condition of the event-triggered measurement behavior in the RRM in the embodiment of the present application is based on one of the following: the beam quality of the first beam and the beam quality of the second beam; the trigger condition of the event-triggered reporting behavior in the RRM is based on One of the following: the beam quality of the first beam, the beam quality of the second beam.
  • the first beam in this embodiment of the present application includes at least one of the following: a measurement beam of the synchronization signal block SSB, a measurement beam of the system information block SIB, a measurement beam of the first control resource set CORESET, a measurement beam of the first control resource set CORESET, and a measurement beam of the first control resource set CORESET.
  • the second beam includes at least one of the following: the beam used by the random access channel RACH, the beam used for judging whether a beam failure occurs in the beam failure, the beam The newly selected beam in failure.
  • the second beam in this embodiment of the present application is a beam to be reported or a candidate beam.
  • the beam reported by the physical layer to the upper layer is the first beam, or The beam reported by the physical layer to the upper layer is the second beam.
  • association relationship in this embodiment of the present application includes at least one of the following:
  • the third association relationship means that after at least one first beam is used as the input of the artificial intelligence network, the output of the artificial intelligence network is at least one second beam;
  • the fourth association relationship means that after inputting at least one second beam artificial intelligence network, the output of the artificial intelligence network is at least one first beam;
  • a fifth association relationship wherein the fifth association relationship is used to indicate that the configuration information of the first beam and the configuration information of the second beam are respectively configured in different lists.
  • the association relationship in this embodiment of the present application is determined by at least one of the following: direct configuration of the first communication device, protocol agreement, network side configuration, and terminal reporting.
  • the manner of the association relationship determined by the beamforming information in this embodiment of the present application includes at least one of the following: directly configuring the association relationship by using the beamforming information; using the beamforming information to associate with the first beam The association between the beamforming information and the second beam determines the association relationship; the association relationship is derived from the beamforming information.
  • the first communication device in the embodiment of the present application is provided with multiple antenna panels, and each antenna panel uses a different or the same beam; wherein, when each antenna panel uses at least one first beam, The second beam is formed by using a plurality of antenna panels according to the relationship; or, if at least one second beam is used in each antenna panel, the first beam is formed by using the plurality of antenna panels according to the relationship.
  • a digital-to-analog converter, an analog-to-digital converter, or a radio frequency module is provided on the first communication device in the embodiment of the present application, and the digital-to-analog converter, the analog-to-digital converter, or the radio frequency module performs amplitude and/or radio frequency conversion of at least one beam. or a mixture of phases; wherein, the digital-to-analog converter or the analog-to-digital converter or the radio frequency module combines at least one first beam into a second beam according to the relationship; or, the digital-to-analog converter or the analog-to-digital converter or the radio frequency module The association relationship is to combine at least one second beam into a first beam.
  • the factors for determining the association relationship in this embodiment of the present application include at least one of the following: hardware information of the first communication device, analog beam selection, and channel environment.
  • the hardware information includes at least one of the following: beam-related parameters, antenna-related parameters, and processing capability-related parameters.
  • the beam-related parameters include at least one of the following: supported analog beam granularity, supported analog beam precision, supported analog beam optional values, granularity of elements in the analog beamforming vector, elements in the analog beamforming vector precision of the elements in the analog beamforming vector, optional value of the elements in the analog beamforming vector, granularity of the elements in the analog beamforming vector, precision of the elements in the analog beamforming vector, optional value of the elements in the analog beamforming vector, combined into Number of beams for analog beams, Number of analog beams supported, Number of main emission directions for analog beams, Accuracy of DACs associated with analog beamforming, Capability of DACs associated with analog beamforming, and analog beamforming Accuracy of analog-to-digital converters related to generation, capabilities of analog-to-digital converters related to analog beamforming, accuracy of radio frequency modules related to analog beamforming, capabilities of radio frequency modules related to analog beamforming.
  • the channel environment includes at least one of the following: transmission power, noise power, interference power, line-of-sight transmission LOS of wireless signals, non-line-of-sight transmission NLOS of wireless signals, time delay information, scattering conditions, channel time variability, and terminal movement speed. , terminal rotation speed, occlusion change speed around the terminal, and occlusion conditions.
  • the beam processing apparatus in this embodiment of the present application may be an apparatus, or may be a component, an integrated circuit, or a chip in a terminal.
  • the device may be a mobile terminal or a non-mobile terminal.
  • the mobile terminal may include, but is not limited to, the types of terminals 11 listed above, and the non-mobile terminal may be a server, a network attached storage (NAS), a personal computer (personal computer, PC), a television ( television, TV), teller machine, or self-service machine, etc., which are not specifically limited in the embodiments of the present application.
  • the apparatus for processing a beam in this embodiment of the present application may be an apparatus having an operating system.
  • the operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of the present application.
  • the beam processing apparatus provided in the embodiment of the present application can implement each process implemented by the method embodiment in FIG. 6 , and achieve the same technical effect. To avoid repetition, details are not described here.
  • an embodiment of the present application further provides a communication device 600, including a processor 601, a memory 602, a program or instruction stored in the memory 602 and executable on the processor 601,
  • a communication device 600 including a processor 601, a memory 602, a program or instruction stored in the memory 602 and executable on the processor 601
  • the communication device 600 is a terminal
  • the program or instruction is executed by the processor 601
  • each process of the above beam processing method embodiment is implemented, and the same technical effect can be achieved.
  • the communication device 600 is a network-side device, when the program or instruction is executed by the processor 601, each process of the above beam processing method embodiments can be implemented, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.
  • FIG. 7 is a schematic diagram of a hardware structure of a terminal implementing an embodiment of the present application.
  • the terminal 700 includes but is not limited to: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, a processor 710 and other components .
  • the terminal 700 may also include a power supply (such as a battery) for supplying power to various components, and the power supply may be logically connected to the processor 710 through a power management system, so as to manage charging, discharging, and power consumption through the power management system management and other functions.
  • a power supply such as a battery
  • the terminal structure shown in FIG. 7 does not constitute a limitation on the terminal, and the terminal may include more or less components than shown, or combine some components, or arrange different components, which will not be repeated here.
  • the input unit 704 may include a graphics processor (Graphics Processing Unit, GPU) 7041 and a microphone 7042. Such as camera) to obtain still pictures or video image data for processing.
  • the display unit 706 may include a display panel 7061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the user input unit 707 includes a touch panel 7071 and other input devices 7072 .
  • the touch panel 7071 is also called a touch screen.
  • the touch panel 7071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 7072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • the radio frequency unit 701 receives the downlink data from the network side device, and then processes it to the processor 710; in addition, sends the uplink data to the network side device.
  • the radio frequency unit 701 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • Memory 709 may be used to store software programs or instructions as well as various data.
  • the memory 709 may mainly include a storage program or instruction area and a storage data area, wherein the storage program or instruction area may store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.) and the like.
  • the memory 709 may include a high-speed random access memory, and may also include a non-volatile memory, wherein the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM) , PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or flash memory.
  • ROM Read-Only Memory
  • PROM programmable read-only memory
  • PROM erasable programmable read-only memory
  • Erasable PROM Erasable PROM
  • EPROM electrically erasable programmable read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • flash memory for example at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
  • the processor 710 may include one or more processing units; optionally, the processor 710 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, application programs or instructions, etc., Modem processors mainly deal with wireless communications, such as baseband processors. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 710.
  • the processor 710 is configured to acquire the quality information of the first beam, and determine the quality information of the second beam according to the quality information of the first beam.
  • the radio frequency module 701 is configured to receive the first configuration information sent by the second communication device, wherein the first configuration information includes: an association relationship between the first beam and the second beam and resource information of the first beam;
  • the processor 710 is configured to measure the first beam according to the resource information of the first beam to obtain quality information of the first beam.
  • the radio frequency module 701 is further configured to receive second configuration information sent by the second communication device, where the second configuration information includes: first indication information and resource information of the first beam; the first indication The information is used to indicate that the relationship between the first beam and the second beam is determined by the artificial intelligence module;
  • the processor 710 is further configured to measure the first beam according to the resource information of the first beam to obtain quality information of the first beam
  • the processor 710 is further configured to determine the quality information of the second beam according to the quality information and the correlation relationship of the first beam.
  • terminal in FIG. 7 in the embodiment of the present application may also be used to execute other method steps in the beam processing method in the embodiment of the present application, which will not be repeated here.
  • the quality information of the second beam can be determined according to the quality information of the first beam, so that when there are many beams, part of the beams can be passed through.
  • the quality information of the beam determines the quality information of another part of the beam, thereby saving the resource overhead, and solving the problem in the related art that in the case of many beams, if the terminal or the network side device needs to obtain the detailed beam information, it will lead to a relatively high resource overhead. big problem.
  • the network device 800 includes: an antenna 81 , a radio frequency device 82 , and a baseband device 83 .
  • the antenna 81 is connected to the radio frequency device 82 .
  • the radio frequency device 82 receives information through the antenna 81, and sends the received information to the baseband device 83 for processing.
  • the baseband device 83 processes the information to be sent and sends it to the radio frequency device 82
  • the radio frequency device 82 processes the received information and sends it out through the antenna 81 .
  • the above-mentioned frequency band processing apparatus may be located in the baseband apparatus 83 , and the method performed by the network side device in the above embodiments may be implemented in the baseband apparatus 83 .
  • the baseband apparatus 83 includes a processor 84 and a memory 85 .
  • the baseband device 83 may include, for example, at least one baseband board on which a plurality of chips are arranged. As shown in FIG. 8 , one of the chips is, for example, the processor 84 and is connected to the memory 85 to call the program in the memory 85 to execute The network devices shown in the above method embodiments operate.
  • the baseband device 83 may further include a network interface 86 for exchanging information with the radio frequency device 82, and the interface is, for example, a common public radio interface (CPRI).
  • CPRI common public radio interface
  • the network-side device in this embodiment of the present application further includes: instructions or programs that are stored in the memory 65 and run on the processor 84 , and the processor 84 invokes the instructions or programs in the memory 85 to execute the modules shown in FIG. 4 .
  • Embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, each process of the above beam processing method embodiment can be achieved, and can achieve The same technical effect, in order to avoid repetition, will not be repeated here.
  • the processor is the processor in the terminal described in the foregoing embodiment.
  • the readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
  • An embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a network-side device program or instruction to implement the above beam processing
  • the chip includes a processor and a communication interface
  • the communication interface is coupled to the processor
  • the processor is used to run a network-side device program or instruction to implement the above beam processing
  • the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip, a system-on-chip, or a system-on-a-chip, or the like.

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Abstract

本申请公开了一种波束的处理方法及装置、通信设备，属于通信技术领域。其中，该方法包括：获取第一波束的质量信息；依据所述第一波束的质量信息确定第二波束的质量信息。

Description

一种波束的处理方法及装置、通信设备
相关申请的交叉引用
本申请主张在2020年11月23日在中国提交的中国专利申请No.202011325594.5的优先权，其全部内容通过引用包含于此。
技术领域
本申请属于通信技术领域，具体涉及一种波束的处理方法及装置、通信设备。
背景技术
目前的通信技术，都是基于单波束的测量方式，即测量和使用是基于相同的波束，例如，网络侧有32个发送波束，终端侧有16个接收波束，那么一共有32*16＝512个波束对(beam pair)。因此，如果终端或网络侧设备要获取详细的波束信息，会导致资源开销较大。
发明内容
本申请实施例提供一种波束的处理方法及装置、通信设备，能够解决相关技术中在波束较多的情况下，如果终端或网络侧设备要获取详细的波束信息，会导致资源开销较大的问题。
第一方面，提供了一种波束的处理方法，由第一通信设备执行，包括：获取第一波束的质量信息；依据所述第一波束的质量信息确定第二波束的质量信息。
第二方面，提供了一种波束的处理装置，包括：获取模块，用于获取第一波束的质量信息；确定模块，用于依据所述第一波束的质量信息确定第二波束的质量信息。
第三方面，提供了一种通信设备，该通信设备包括处理器、存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第一方面所述的方法的步骤。
第四方面，提供了一种可读存储介质，所述可读存储介质上存储程序或 指令，所述程序或指令被处理器执行时实现如第一方面所述的方法的步骤。
第五方面，提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行网络侧设备程序或指令，实现如第一方面所述的方法。
第六方面，提供了一种计算机程序产品，所述计算机程序产品被存储在非易失的存储介质中，所述计算机程序产品被至少一个处理器执行以实现如第一方面所述的方法。
在本申请实施例中，在获取到第一波束的质量信息之后，可以根据该第一波束质量信息确定出第二波束的质量信息，这样在波束较多的情况下，可以通过其中一部分波束的质量信息确定出另一部分波束的质量信息，从而节省了资源开销，解决了相关技术中在波束较多的情况下，如果终端或网络侧设备要获取详细的波束信息，会导致资源开销较大的问题。
附图说明
图1示出本申请实施例可应用的一种无线通信系统的框图；
图2示出本申请实施例可应用的神经网络的示意图；
图3示出本申请实施例神经网络中神经元的示意图；
图4是本申请实施例的波束的处理方法的流程图；
图5是本申请实施例的处理装置的结构示意图图；
图6是本申请实施例的通信设备的结构示意图；
图7是本申请实施例的终端的结构示意图；
图8是本申请实施例的网络侧设备的结构示意图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别 类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”所区别的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”一般表示前后关联对象是一种“或”的关系。
值得指出的是，本申请实施例所描述的技术不限于长期演进型(Long Term Evolution，LTE)/LTE的演进(LTE-Advanced，LTE-A)系统，还可用于其他无线通信系统，诸如码分多址(Code Division Multiple Access，CDMA)、时分多址(Time Division Multiple Access，TDMA)、频分多址(Frequency Division Multiple Access，FDMA)、正交频分多址(Orthogonal Frequency Division Multiple Access，OFDMA)、单载波频分多址(Single-carrier Frequency-Division Multiple Access，SC-FDMA)和其他系统。本申请实施例中的术语“系统”和“网络”常被可互换地使用，所描述的技术既可用于以上提及的系统和无线电技术，也可用于其他系统和无线电技术。以下描述出于示例目的描述了新空口(New Radio，NR)系统，并且在以下大部分描述中使用NR术语，但是这些技术也可应用于NR系统应用以外的应用，如第6代(6th Generation，6G)通信系统。
图1示出本申请实施例可应用的一种无线通信系统的框图。无线通信系统包括终端11和网络侧设备12。其中，终端11也可以称作终端设备或者用户终端(User Equipment，UE)，终端11可以是手机、平板电脑(Tablet Personal Computer)、膝上型电脑(Laptop Computer)或称为笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、掌上电脑、上网本、超级移动个人计算机(ultra-mobile personal computer，UMPC)、移动上网装置(Mobile Internet Device，MID)、可穿戴式设备(Wearable Device)或车载设备(VUE)、行人终端(PUE)等终端侧设备，可穿戴式设备包括：手环、耳机、眼镜等。需要说明的是，在本申请实施例并不限定终端11的具体类型。网络侧设备12可以是基站或核心网，其中，基站可被称为节点B、演进节点B、接入点、基收发机站(Base Transceiver Station，BTS)、无线电基站、无线电收发机、 基本服务集(Basic Service Set，BSS)、扩展服务集(Extended Service Set，ESS)、B节点、演进型B节点(eNB)、家用B节点、家用演进型B节点、WLAN接入点、WiFi节点、发送接收点(Transmitting Receiving Point，TRP)或所述领域中其他某个合适的术语，只要达到相同的技术效果，所述基站不限于特定技术词汇，需要说明的是，在本申请实施例中仅以NR系统中的基站为例，但是并不限定基站的具体类型。
下面将对本申请中的术语进行相应的说明；
一、人工智能(Artificial Intelligence，AI)
人工智能，目前在各个领域获得了广泛的应用。AI有多种实现方式，例如神经网络、决策树、支持向量机、贝叶斯分类器等。本申请以神经网络为例进行说明，但是并不限定AI网络的具体类型。一个神经网络如图2所示，其中，神经网络由神经元组成，神经元的示意如图3所示，其中，a1,a2,…aK为输入，w为权值(乘性系数)，b为偏置(加性系数)，σ(.)为激活函数；其中，常见的激活函数包括Sigmoid、tanh、线性整流函数，修正线性单元(Rectified Linear Unit，ReLU)等等。
神经网络的参数通过优化算法进行优化，其中，优化算法就是一种能够帮我们最小化或者最大化目标函数(有时候也叫损失函数)的一类算法。而目标函数往往是模型参数和数据的数学组合。例如，给定数据X和其对应的标签Y，构建一个神经网络模型f(.)，有了模型后，根据输入x就可以得到预测输出f(x)，并且可以计算出预测值和真实值之间的差距(f(x)-Y)，这个就是损失函数。目的是找到合适的W,b使上述的损失函数的值达到最小，损失值越小，则说明模型越接近于真实情况。
目前常见的优化算法，基本都是基于误差反向传播(error Back Propagation，BP)算法。BP算法的基本思想是，学习过程由信号的正向传播与误差的反向传播两个过程组成。正向传播时，输入样本从输入层传入，经各隐层逐层处理后，传向输出层。若输出层的实际输出与期望的输出不符，则转入误差的反向传播阶段。误差反传是将输出误差以某种形式通过隐层向输入层逐层反传，并将误差分摊给各层的所有单元，从而获得各层单元的误差信号，此误差信号即作为修正各单元权值的依据。这种信号正向传播与误 差反向传播的各层权值调整过程，是周而复始地进行的。权值不断调整的过程，也就是网络的学习训练过程。此过程一直进行到网络输出的误差减少到可接受的程度，或进行到预先设定的学习次数为止。
常见的优化算法有梯度下降(Gradient Descent，GD)、随机梯度下降(Stochastic Gradient Descent，SGD)、小批量梯度下降(mini-batch gradient descent)、动量法(Momentum)、带动量的随机梯度下降(Nesterov)、自适应梯度下降(ADAptive GRADient descent，Adagrad)、自适应学习率(Adadelta)、均方根误差降速(root mean square prop，RMSprop)、自适应动量估计(Adaptive Moment Estimation，Adam)等。
这些优化算法在误差反向传播时，都是根据损失函数得到的误差/损失，对当前神经元求导数/偏导，加上学习速率、之前的梯度/导数/偏导等影响，得到梯度，将梯度传给上一层。
二、关于多天线
长期演进(Long Term Evolution，LTE)/长期演进技术升级版(LTE-Advanced，LTE-A)等无线接入技术标准都是以多进多出(multiple-in multiple-out，MIMO)+正交频分复用技术(Orthogonal Frequency Division Multiplexing，OFDM)技术为基础构建起来的。其中，MIMO技术利用多天线系统所能获得的空间自由度，来提高峰值速率与系统频谱利用率。
在标准化发展过程中MIMO技术的维度不断扩展。在LTE Rel-8中，最多可以支持4层的MIMO传输。在Rel-9中增强MU-MIMO(Multi-User MIMO)技术，TM(Transmission Mode)-8的MU-MIMO传输中最多可以支持4个下行数据层。在Rel-10中将SU-MIMO(Single-User MIMO)的传输能力扩展至最多8个数据层。
产业界正在进一步地将MIMO技术向着三维化和大规模化的方向推进。目前，3GPP已经完成了3D信道建模的研究项目，并且正在开展eFD-MIMO和NR MIMO的研究和标准化工作。可以预见，在未来的5G移动通信系统中，更大规模、更多天线端口的MIMO技术将被引入。
Massive MIMO技术使用大规模天线阵列，能够极大地提升系统频带利用效率，支持更大数量的接入用户。因此各大研究组织均将massive MIMO技 术视为下一代移动通信系统中最有潜力的物理层技术之一。
在massive MIMO技术中如果采用全数字阵列，可以实现最大化的空间分辨率以及最优MU-MIMO性能，但是这种结构需要大量的AD/DA转换器件以及大量完整的射频-基带处理通道，无论是设备成本还是基带处理复杂度都将是巨大的负担。
为了避免上述的实现成本与设备复杂度，数模混合波束赋形技术应运而生，即在传统的数字域波束赋形基础上，在靠近天线系统的前端，在射频信号上增加一级波束赋形。模拟赋形能够通过较为简单的方式，使发送信号与信道实现较为粗略的匹配。模拟赋形后形成的等效信道的维度小于实际的天线数量，因此其后所需的AD/DA转换器件、数字通道数以及相应的基带处理复杂度都可以大为降低。模拟赋形部分残余的干扰可以在数字域再进行一次处理，从而保证MU-MIMO传输的质量。相对于全数字赋形而言，数模混合波束赋形是性能与复杂度的一种折中方案，在高频段大带宽或天线数量很大的系统中具有较高的实用前景。
三、关于高频段
在对4G以后的下一代通信系统研究中，将系统支持的工作频段提升至6GHz以上，最高约达100GHz。高频段具有较为丰富的空闲频率资源，可以为数据传输提供更大的吞吐量。目前3GPP已经完成了高频信道建模工作，高频信号的波长短，同低频段相比，能够在同样大小的面板上布置更多的天线阵元，利用波束赋形技术形成指向性更强、波瓣更窄的波束。因此，将大规模天线和高频通信相结合，也是未来的趋势之一。
四、关于波束测量和报告(beam measurement and beam reporting)
模拟波束赋形是全带宽发射的，并且每个高频天线阵列的面板上每个极化方向阵元仅能以时分复用的方式发送模拟波束。模拟波束的赋形权值是通过调整射频前端移相器等设备的参数来实现。
目前在学术界和工业界，通常是使用轮询的方式进行模拟波束赋形向量的训练，即每个天线面板每个极化方向的阵元以时分复用方式依次在约定时间发送训练信号(即候选的赋形向量)，终端经过测量后反馈波束报告，供网络侧在下一次传输业务时采用该训练信号来实现模拟波束发射。波束报告的 内容通常包括最优的若干个发射波束标识以及测量出的每个发射波束的接收功率。
在做波束测量时，网络会配置参考信号资源集合(RS resource set)，其中包括至少一个参考信号资源，例如SSB resource或CSI-RS resource。UE测量每个RS resource的L1-RSRP/L1-SINR，并将最优的至少一个测量结果上报给网络，上报内容包括SSBRI或CRI、及L1-RSRP/L1-SINR。该报告内容反映了至少一个最优的波束及其质量，供网络确定用来向UE发送信道或信号的波束。
五、关于波束指示(beam indication)机制
在经过波束测量和波束报告后，网络可以对下行与上行链路的信道或参考信号做波束指示，用于网络与UE之间建立波束链路，实现信道或参考信号的传输。
对于物理下行控制信道(Physical Downlink Control Channel，PDCCH)的波束指示，网络使用无线资源控制(Radio Resource Control，RRC)信令为每个控制资源集CORESET配置K个传输配置指示(Transmission Configuration Indication，TCI)state，当K>1时，由媒体接入控制层控制单元(Media Access Control Control Element，MAC CE)指示或激活1个TCI state，当K＝1时，不需要额外的MAC CE命令。UE在监听PDCCH时，对CORESET内全部search space使用相同准共址(Quasi-colocation，QCL)，即相同的TCI state来监听PDCCH。该TCI状态中的参考信号(Reference Signal，RS)，例如周期信道状态信息参考信号(Channel State Information Reference Signal，CSI-RS)resource、半持续CSI-RS resource、SS block等，与UE-specific PDCCH DMRS端口是空间QCL的。UE根据该TCI状态即可获知使用哪个接收波束来接收PDCCH。
对于PDSCH的波束指示，网络通过RRC信令配置M个TCI state，再使用MAC CE命令激活2N个TCI state，然后通过DCI的N-bit TCI field来通知TCI状态，该TCI状态中的RS与要调度的PDSCH的DMRS端口是QCL的。UE根据该TCI状态即可获知使用哪个接收波束来接收PDSCH。
对于CSI-RS的波束指示，当CSI-RS类型为周期CSI-RS时，网络通过 RRC信令为CSI-RS resource配置QCL信息。当CSI-RS类型为半持续CSI-RS时，网络通过MAC CE命令来从RRC配置的CSI-RS resource set中激活一个CSI-RS resource时指示其QCL信息。当CSI-RS类型为非周期CSI-RS时，网络通过RRC信令为CSI-RS resource配置QCL，并使用DCI来触发CSI-RS。
对于PUCCH的波束指示，网络使用RRC信令通过参数PUCCH-SpatialRelationInfo为每个PUCCH resource配置空间关系信息(spatial relation information)，当为物理上行控制信道(Physical Uplink Control Channel，PUCCH)resource配置的空间关系信息包含多个时，使用MAC-CE指示或激活其中一个空间关系信息。当为PUCCH resource配置的空间关系信息只包含1个时，不需要额外的MAC CE命令。
对于物理上行共享信道(Physical Uplink Shared Channel，PUSCH)的波束指示，PUSCH的空间关系信息是当PDCCH承载的DCI调度PUSCH时，DCI中的SRI field的每个SRI codepoint指示一个SRI，该SRI用于指示PUSCH的空间关系信息。
对于SRS的波束指示，当SRS类型为周期SRS时，网络通过RRC信令为SRS resource配置空间关系信息。当SRS类型为半持续SRS时，网络通过MAC CE命令来从RRC配置的一组空间关系信息中激活一个。当SRS类型为非周期SRS时，网络通过RRC信令为SRS resource配置空间关系信息。
需要说明的是，本申请中所涉及的波束信息、空间关系信息、空间域传输滤波器(spatial domain transmission filter)信息、空间滤波器(spatial filter)信息、TCI state信息、QCL信息、QCL参数、空间关系信息等，其含义是相近似的。
其中，下行波束信息通常可使用TCI state信息、QCL信息表示。上行波束信息通常可使用空间关系信息表示。
六、波束失败恢复(beam failure recovery)机制
在高频段通信系统中，由于无线信号的波长较短，较容易发生信号传播被阻挡等情况，导致信号传播中断。如果采用相关技术中的无线链路重建，则耗时较长，因此引入了波束失败恢复机制，该机制分为下面四个内容：
光束故障检测(Beam failure detection)：终端在物理层对波束失败检测参 考信号(Beam Failure Detection Reference Signal，BFD RS)进行测量，并根据测量结果来判断是否发生波束失败事件。判断的条件是：如果检测出全部服务梁(serving beam)的metric(hypothetical PDCCH BLER)满足预设条件(超过预设阈值)，则确定为一次波束失败实例(Beam Failure Instance，BFI)，UE物理层上报给UE高层(MAC层)一个指示，该上报过程是周期的，BFI上报周期为BFD RS的最短周期，下界是2ms。反之，如果UE物理层确定没有发生BFI(beam failure instance)，则不向高层发送指示。UE高层使用计数器(counter)和定时器(timer)对物理层上报的BFI进行计数，每收到BFI则重启定时器(timer)，定时器超时则计数器(counter)重新计数，当计数器达到网络配置的最大次数时，UE声明发生了波束失败事件。相关技术中UE的MAC层的定时器和计数器是对每个active BWP配置的，每个BWP上的定时器和计数器的启动和维护是独立的，即每个BWP的定时器和计数器独立工作，包括启动、重置、计数、计时等。
新的候选波束识别(New candidate beam identification)：终端物理层测量候选波束参考信号(candidate beam RS)，寻找新的候选波束。本步骤不强制在波束失败事件(beam failure event)发生后，也可以在之前。当UE物理层收到来自UE高层(MAC层)的请求或指示或通知时，将满足预设条件(对候选波束参考信号(candidate beam RS)的测量L1-RSRP超过预设门限)的测量结果上报给UE高层，上报内容为{beam RS index,L1-RSRP}，UE高层基于物理层的上报，来选择候选波束(candidate beam)。
波束失败恢复请求(Beam failure recovery request，BFRQ)：UE高层(MAC层)根据所选候选波束来确定PRACH resource。如果UE找到了候选波束且配置了无竞争PRACH资源，则使用无竞争的PRACH上向基站发送上述BFRQ。否则，UE可以使用基于竞争的PRACH资源。当BFRQ超时后只能使用基于竞争的PRACH资源。两种PRACH资源使用的总次数不能超过预设计数值。此处的无竞争PRACH资源，与其它PRACH资源(如用于初始接入的PRACH资源)可以是FDM或CDM。此外，相关技术中，也支持PUCCH发送BFRQ。
波束失败恢复响应(Beam failure recovery response，BFRR)：基站接收 到该BFRQ后，会在配置的CORESET-BFR上的dedicated PDCCH中发送响应(response)，并携带小区无线网络临时标识(Cell-Radio Network Temporary Identifier，C-RNTI)，并还有可能包括切换至新候选波束、或重新启动波束搜索、或其它指示。CORESET-BFR与UE找到的候选波束的下行RS是空间QCL的。如果波束失败恢复不成功，则UE物理层向UE高层发送一个指示，供高层确定后续的无线链路失败过程。
对于多载波的场景，如载波聚合(Carrier Aggregation，CA)，有多个载波(carrier)，或多个成员载波CC，或多个小区(cell)，其中，存在一个主小区，如主小区组(master cell group，MCG)中的主小区(Primary cell，PCell)，或辅小区组(secondary cell group，SCG)中的主辅小区(Primary secondary cell，PSCell)和至少一个辅小区(Secondary cell，Scell)。
下面结合附图，通过具体的实施例及其应用场景对本申请实施例提供的波束的处理方法进行详细地说明。
本申请实施例提供了一种波束的处理方法，该方法由第一通信设备执行，图4是本申请实施例的波束的处理方法的流程图，如图4所示，该方法的步骤包括：
步骤S402，获取第一波束的质量信息；
步骤S404，依据第一波束的质量信息确定第二波束的质量信息。
通过本申请实施例的步骤S402和步骤S404，在获取到第一波束的质量信息之后，可以根据该第一波束质量信息确定出第二波束的质量信息，这样在波束较多的情况下，可以通过其中一部分波束的质量信息确定出另一部分波束的质量信息，从而节省了资源开销，解决了相关技术中在波束较多的情况下，如果终端或网络侧设备要获取详细的波束信息，会导致资源开销较大的问题。
在本申请实施例的可选实施方式中，对于本申请实施例步骤S402中涉及到的获取第一波束的质量信息的方式，进一步可以包括：
步骤S402-11，接收第二通信设备发送的配置信息，其中，配置信息包括第一波束的资源信息；
步骤S402-12，根据第一波束的资源信息对第一波束进行测量，得到第一 波束的质量信息。
基于此，本申请实施例中的步骤S404中涉及到的依据第一波束的质量信息确定第二波束的质量信息的方式，可以是：根据第一波束的质量信息和关联关系确定第二波束的质量信息，其中，关联关系是指第一波束和第二波束的关联关系。
在本申请实施例中的可选实施方式中，本申请实施例中的关联关系通过以下至少一项确定：
1)配置信息中携带有第一波束和第二波束的关联关系；
2)由第二通信设备发送的指示信息确定，其中，所述指示信息用于指示使用第一人工智能模块确定所述关联关系，或用于指示所述第二通信设备从多个人工智能模块中所选择出的所述第一人工智能模块，或用于指示所述第二人工智能模块的参数信息；
其中，参数信息可以包括：人工智能模块的标识，人工智能模块的类型、算法、里面各个元素的信息。例如，对于神经网络，包括以下至少之一：神经网络的结构、层数、某层神经元的数目、神经元的系数(乘性系数和/或加性系数)、激活函数等等。
此外，第一人工智能模块确定关联关系是指第一人工智能模块的输入为第一波束中的至少一个波束，第一人工智能模块的输出为第二波束中的至少一个波束，或者，第一人工智能模块的输入为第二波束中的至少一个波束，第一人工智能模块的输出为第一波束中的至少一个波束。
可选地，人工智能模块的输入和/或输出为波束的标识，和/或波束的资源，和/或波束的波束赋形信息，和/或波束的波束质量。
3)由协议约定关联关系。
其中，协议可以指约定具体的关联关系，也可以是约定关联关系通过何种方式确定。
需要说明的是，本申请实施例中的第二波束为待上报的波束或为候选波束。其中，候选波束可以为专门配置的候选波束，或者所有可用的波束，或所有被配置的可用波束，或所有可能被使用的波束，或所有可能被上报的波束。
需要说明的是，本申请实施例中的第一波束包括如下至少一项：波束训练中的测量波束、波束测量中的测量波束、波束报告中的波束、无线链路监测(Radio Link Monitoring，RLM)中的测量波束、无线资源管理(Radio Resource Management，RRM)中的测量波束、用于邻区测量的测量波束；基于此，本申请实施例中的第二波束包括如下至少一项：波束报告中的波束、波束参考信息中的波束、准共址QCL信息中的波束、用于反映无线链路性能的波束、RRM相应报告中的波束、邻区波束报告中的波束。
其中，波束训练包括如下至少一项：层1L1的波束训练、层3L3的波束训练；和/或，波束测量包括如下至少一项：L1的波束测量、L3的波束测量；和/或，波束报告包括如下至少一项：L1的波束报告、层3L3的波束报告；和/或，波束参考信息包括如下至少一项：信道的波束参考信息、信号的波束参考信息；和/或，QCL信息包括如下至少一项：信道的QCL信息、信号的QCL信息。
基于上述第一波束和第二波束的类型，在具体应用场景中，第一波束和第二波束的类型可以是：
a)在第一波束为L1波束训练和/或波束测量中的测量波束的情况下，第二波束为L1波束报告中的待上报的波束或候选波束；
b)第二波束为L3波束训练和/或波束测量中的测量波束的情况下，第二波束为L3波束报告中待上报的波束或候选波束；
c)第一波束为L1/L3波束训练和/或波束测量中的测量波束，或所述第一波束为L1/L3波束报告中的波束的情况下，第一波束为信道和/或信号的波束参考/QCL信息中待上报的波束或候选波束。
其中，本申请实施例中的信道包括以下至少一项：物理下行控制信道PDCCH、物理下行共享信道PDSCH、物理上行控制信道PUCCH、物理上行共享信道PUSCH、物理随机接入信道PRACH、物理广播信道PBCH；
本申请实施例中的信号包括以下至少一项：解调参考信号DMRS、信道探测参考信号SRS、同步信号块SSB、追踪参考信号TRS、相位追踪参考信号PTRS、信道状态信息参考信号CSI-RS。
d)在第一波束为RRM中的测量波束的情况下，第二波束为RRM相应 报告中待上报的波束或候选波束；
其中，RRM中事件触发的测量行为的触发条件基于以下之一：第一波束的波束质量、第二波束的波束质量。RRM中事件触发的上报行为的触发条件基于以下之一：第一波束的波束质量、第二波束的波束质量。
e)在第一波束为RLM中的测量波束的情况下，第二波束为反映无线链路性能的波束，例如，判断是否同步(in-sync)和/或失步(out-of-sync)和/或无线链路失败的波束；
f)在第一波束用于邻区测量的波束(邻区SSB和/或本小区的CSI-RS for mobility)的情况下，第二波束为邻区波束报告中待上报的波束或候选波束，例如，L1波束报告和/或L3波束报告。
在本申请实施例的另一个可选实施方式中，第一波束还可以包括如下至少一项：同步信号块SSB的测量波束、系统信息块SIB的测量波束、第一控制资源集CORESET的测量波束、由于波束失败检测而需要测量的波束、波束失败中的新波束指示而需要测量的波束；以及，第二波束还可以包括如下至少一项：随机接入信道RACH使用的波束、波束失败中用于判断是否发生波束失败的波束、波束失败中新选择的波束。
基于上述第一波束和第二波束的类型，在具体应用场景中，本申请实施例中的第一波束和第二波束的类型还可以是：
g)在第一波束为以下之一的测量波束情况下：SSB、SIB、CORESET#0，第二波束为随机接入信道(Random Access Channel，RACH)使用的候选波束，例如，用于RACH阶段的PRACH、PDCCH、PDSCH、PUSCH等信道QCL信息的波束。
i)第一波束为波束失败中的新波束指示而需要测量的波束的情况下，第二波束为波束失败中新选择的波束。其中，在第一波束为波束失败中的新波束指示而需要测量的波束，第二波束为波束失败中新选择的波束的情况下，物理层上报至高层的波束是第一波束，或物理层上报至高层的波束是第二波束。
需要说明的是，本申请实施例中由第一配置信息配置的关联关系可以包括以下至少一项：
1)第一关联关系，其中，第一关联关系是指第一波束由多个第二波束通过第一数学运算方式确定；
对于该第一数学运算方式，在具体应用场景中，例如A1＝(B1+B2+B3+B5)/4，A1即为第一波束的第一个波束，B1、B2、B3、B5分别为第二波束中的第1、2、3、5个波束。需要说明的是，上述第一数学方式仅仅是举例说明，在本申请实施例的其他应用场景中可以根据实际情况对该第一数学运算方式进行相应的设置。
需要说明的是，第一波束与第二波束的关系，可以由波束训练/波束管理/波束测量/SIB/MIB/小区配置信息/物理小区配置信息/物理层配置信息/高层配置信息等配置信息来配置，具体可以包括：显式关系和隐式关系；
其中，显式关系，即直接配置组成第一波束的第二波束的关系式或系数。例如，波束总共包含B1、B2、…、B6，A1＝(B1+B2+B3+B5)/4，配置111010或[0.25 0.25 0.25 0 0.25 0]，或配置B1、B2、B3、B5(可能配置系数)。而隐式关系，即由协议约定、或网络配置该关联关系。
2)第二关联关系，其中，第二关联关系是指第二波束由多个第一波束通过第二数学运算方式确定；
需要说明的是，第一波束与第二波束的关系，可以由波束训练/波束管理/波束测量/SIB/MIB/小区配置信息/物理小区配置信息/物理层配置信息/高层配置信息等配置信息来配置，具体可以包括：显式关系和隐式关系；
其中，显式关系，即直接上报组成第一波束的第二波束的关系式或系数。例如，波束训练包含A1、A2、…、A6，B1＝(A1+A2+A3+A5)/4，上报111010或[0.25 0.25 0.25 0 0.25 0]，或上报A1、A2、A3、A5(可能携带系数)。而隐式关系，即由协议约定、网络配置该关联关系。
3)表示第一波束为第二波束的子集的关联关系；例如，第一波束为所有波束的一个子集，或，第一波束为第二波束的一个子集。
4)第三关联关系，其中，第三关联关系是指将至少一个第一波束作为人工智能网络的输入后，人工智能网络的输出为至少一个第二波束；
5)第四关联关系，其中，第四关联关系是指将至少一个第二波束人工智能网络的输入后，人工智能网络的输出为至少一个第一波束；
其中，对于上述4)和5)则是AI网络的输入为第二波束中的至少一个波束，AI网络的输出为第一波束中的至少一个波束。或者，AI网络的输入为第一波束中的至少一个波束，AI网络的输出为第二波束中的至少一个波束。
6)由波束赋形信息确定的关联关系；
需要说明的是，由波束赋形信息确定的关联关系的方式包括以下至少之一：通过波束赋形信息直接配置关联关系；通过所述波束赋形信息与所述第一波束的关联、所述波束赋形信息与所述第二波束的关联确定所述关联关系；通过波束赋形信息推导出关联关系。
需要说明的是，上述通过波束赋形信息直接配置关联关系的方式，是一种直接规定波束的具体波束赋形信息的方式，即波束赋形信息配置在波束信息中，也就是说，通过波束赋形信息可以得到第一波束和第二波束的关系。例如，各个波束的波束赋形向量都已经获知，则可以将第一波束的波束赋形向量由第二波束的波束赋形向量通过数学运算组合而来，也可以将第二波束的波束赋形向量由第一波束的波束赋形向量通过数学运算组合而来。
而对于通过所述波束赋形信息与所述第一波束的关联、所述波束赋形信息与所述第二波束的关联确定所述关联关系的方式，以及通过波束赋形信息推导出关联关系的方式，是一种间接方式即，波束赋形信息配置与波束信息关联。例如，规定N个波束赋形向量，指示波束信息如何由这些向量组成。
7)第五关联关系，其中，第五关联关系用于指示第一波束的配置信息和第二波束的配置信息分别配置在不同的列表中。
在本申请实施例的可选实施方式中，第一通信设备上设置有多个天线面板，每个天线面板使用不同或相同的波束。可选地，在每个天线面板使用至少一个第一波束的情况下，根据关联关系通过多个天线面板形成第二波束；在每个天线面板使用至少一个第二波束的，根据关联关系，通过多个天线面板形成第一波束。
在本申请实施例的可选实施方式中，第一通信设备上设置有数模转换器或模数转换器或射频模块，数模转换器或模数转换器或射频模块将至少一个波束进行幅度和/或相位的混合。可选地，数模转换器或模数转换器或射频模块根据关联关系，将至少一个第一波束，组合为第二波束；或，数模转换器 或模数转换器或射频模块根据关联关系，将至少一个第二波束，组合为第一波束。
在本申请实施例的可选实施方式中，确定该关联关系的因素包括以下至少一项：第一通信设备的硬件信息、模拟波束选择、信道环境。
其中，硬件信息包括以下至少一项：波束相关参数、天线相关参数、处理能力相关参数。
需要说明的是，该波束相关参数包括以下至少之一：支持的模拟波束颗粒度、支持的模拟波束精度、支持的模拟波束可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、组合成模拟波束的波束数量、支持的模拟波束数量、模拟波束的主射方向的数量、与模拟波束生成相关的数模转换器的精度、与模拟波束生成相关的数模转换器的能力、与模拟波束生成相关的模数转换器的精度、与模拟波束生成相关的模数转换器的能力、与模拟波束生成相关的射频模块的精度、与模拟波束生成相关的射频模块的能力。
另外，天线相关参数包括以下至少一项：天线元数目、TXRU数目、天线面板数目、天线阵列分布/位置、天线阵列的波束赋形能力(包络)、天线面板分布/位置(如天线面板在UE内如何摆放，某个面板在UE的屏幕正面还是侧面还是后面、具体位置是哪里)、是否存在波束一致性(beam correspondence)。
处理能力相关参数包括以下至少一项：信号处理能力、数据计算能力、存储能力、中央处理器(central processing unit，CPU)、图形处理器(Graphics Processing Unit，GPU)、神经网络处理器(neural-network process units，NPU)。可选地，包括网络设备的处理能力相关参数，和/或终端设备的处理能力相关参数。
模拟波束选择包括以下至少一项：具体配置的模拟波束类型、具体配置的模拟波束精度、具体配置的模拟波束参数、具体配置的模拟波束的范围、选择的模拟波束类型、选择的模拟波束精度、选择的模拟波束参数、选择的 模拟波束的范围、可用的模拟波束类型、可用的模拟波束精度、可用的模拟波束参数、可用的模拟波束的范围。可选地，包括网络设备的模拟波束选择，和/或终端设备的模拟波束选择。
此外，该信道环境包括以下至少一项：发送功率、噪声功率、干扰功率、无线信号的视线传输LOS、无线信号的非视线传输NLOS、时延信息、散射情况、信道时变性、终端移动速度、终端旋转速度、终端周围遮挡变化速度、遮挡情况。
需要说明的是，本申请实施例提供的波束的处理方法，执行主体可以为波束的处理装置，或者，该波束的处理装置中的用于执行波束的处理方法的控制模块。本申请实施例中以波束的处理装置执行波束的处理方法为例，说明本申请实施例提供的波束的处理装置。
本申请实施例提供了一种波束的处理装置，如图5所示，该装置包括：
获取模块52，用于获取第一波束的质量信息；
确定模块54，用于依据第一波束的质量信息确定第二波束的质量信息。
通过本申请实施例的装置，在获取到第一波束的质量信息之后，可以根据该第一波束质量信息确定出第二波束的质量信息，这样在波束较多的情况下，可以通过其中一部分波束的质量信息确定出另一部分波束的质量信息，从而节省了资源开销，解决了相关技术中在波束较多的情况下，如果终端或网络侧设备要获取详细的波束信息，会导致资源开销较大的问题。
可选地，本申请实施例中的获取模块52进一步可以包括：接收单元，用于接收第二通信设备发送的配置信息，其中，配置信息包括第一波束的资源信息；第一测量单元，用于根据第一波束的资源信息对第一波束进行测量，得到第一波束的质量信息。
可选地，本申请实施例中的确定模块54，还可以用于根据第一波束的质量信息和关联关系确定第二波束的质量信息，其中，关联关系是指所述第一波束和所述第二波束的关联关系。
在本申请实施例中的可选实施方式中，本申请实施例中的所述关联关系通过以下至少一项确定：
1)所述配置信息中携带有所述第一波束和所述第二波束的关联关系；
2)由所述第二通信设备发送的指示信息确定，其中，指示信息用于指示使用第一人工智能模块确定关联关系，或用于指示第二通信设备从多个人工智能模块中所选择出的所述第一人工智能模块，或用于指示第二人工智能模块的参数信息；
其中，对于第一人工智能模块，可以是第二通信设备从多个人工智能模块中选择出的。而第二人工智能模块的参数信息，也可以是从多个人工智能模块中的参数信息选择出的，并且在指示第二人工智能模块的参数信息后，第一通信设备则可以直接通过该参数信息确定出第二人工智能模块，进而通过第二人工智能模块确定第一波束和第二波束之间的关联关系。
3)由协议约定所述关联关系。
可选地，第一波束包括如下至少一项：波束训练中的测量波束、波束测量中的测量波束、波束报告中的波束、无线链路监测RLM中的测量波束、无线资源管理RRM中的测量波束、用于邻区测量的测量波束；第二波束包括如下至少一项：波束报告中的波束、波束参考信息中的波束、准共址QCL信息中的波束、用于反映无线链路性能的波束、RRM相应报告中的波束、邻区波束报告中的波束。
可选地，本申请实施例中的波束训练包括如下至少一项：层1L1的波束训练、层3L3的波束训练；和/或，波束测量包括如下至少一项：L1的波束测量、L3的波束测量；和/或，波束报告包括如下至少一项：L1的波束报告、层3L3的波束报告；和/或，波束参考信息包括如下至少一项：信道的波束参考信息、信号的波束参考信息；和/或，QCL信息包括如下至少一项：信道的QCL信息、信号的QCL信息。
可选地，本申请实施例中的信道包括以下至少一项：物理下行控制信道PDCCH、物理下行共享信道PDSCH、物理上行控制信道PUCCH、物理上行共享信道PUSCH、物理随机接入信道PRACH、物理广播信道PBCH；
可选地，本申请实施例中的信号包括以下至少一项：解调参考信号DMRS、信道探测参考信号SRS、同步信号块SSB、追踪参考信号TRS、相位追踪参考信号PTRS、信道状态信息参考信号CSI-RS。
可选地，本申请实施例中的RRM中事件触发的测量行为的触发条件基 于以下之一：第一波束的波束质量、第二波束的波束质量；RRM中事件触发的上报行为的触发条件基于以下之一：第一波束的波束质量、第二波束的波束质量。
可选地，本申请实施例中的第一波束包括如下至少一项：同步信号块SSB的测量波束、系统信息块SIB的测量波束、第一控制资源集CORESET的测量波束、由于波束失败检测而需要测量的波束、波束失败中的新波束指示而需要测量的波束；第二波束包括如下至少一项：随机接入信道RACH使用的波束、波束失败中用于判断是否发生波束失败的波束、波束失败中新选择的波束。
可选地，本申请实施例中的第二波束为待上报的波束或为候选波束。
可选地，在第一波束为波束失败中的新波束指示而需要测量的波束，第二波束为波束失败中新选择的波束的情况下，物理层上报至高层的波束是第一波束，或物理层上报至高层的波束是第二波束。
可选地，本申请实施例中的关联关系包括以下至少一项：
1)第一关联关系，其中，第一关联关系是指第一波束由多个第二波束通过第一数学运算方式确定；
2)第二关联关系，其中，第二关联关系是指第二波束由多个第一波束通过第二数学运算方式确定；
3)表示第一波束为第二波束的子集的关联关系；
4)第三关联关系，其中，第三关联关系是指将至少一个第一波束作为人工智能网络的输入后，人工智能网络的输出为至少一个第二波束；
5)第四关联关系，其中，第四关联关系是指将至少一个第二波束人工智能网络的输入后，人工智能网络的输出为至少一个第一波束；
6)由波束赋形信息确定的关联关系；
7)第五关联关系，其中，第五关联关系用于指示第一波束的配置信息和第二波束的配置信息分别配置在不同的列表中。
可选地，本申请实施例中的关联关系通过以下至少一项确定：第一通信设备直接配置、协议约定、网络侧配置、终端上报。
可选地，本申请实施例中的由波束赋形信息确定的关联关系的方式包括 以下至少之一：通过波束赋形信息直接配置关联关系；通过所述波束赋形信息与所述第一波束的关联、所述波束赋形信息与所述第二波束的关联确定所述关联关系；通过波束赋形信息推导出关联关系。
可选地，本申请实施例中的第一通信设备上设置有多个天线面板，每个天线面板使用不同或相同的波束；其中，在每个天线面板使用至少一个第一波束的情况下，根据关联关系通过多个天线面板形成第二波束；或，在每个天线面板使用至少一个第二波束的，根据关联关系，通过多个天线面板形成第一波束。
可选地，本申请实施例中的第一通信设备上设置有数模转换器或模数转换器或射频模块，数模转换器或模数转换器或射频模块将至少一个波束进行幅度和/或相位的混合；其中，数模转换器或模数转换器或射频模块根据关联关系，将至少一个第一波束组合为第二波束；或，数模转换器或模数转换器或射频模块根据关联关系，将至少一个第二波束组合为第一波束。
可选地，本申请实施例中确定关联关系的因素包括以下至少一项：第一通信设备的硬件信息、模拟波束选择、信道环境。
其中，硬件信息包括以下至少一项：波束相关参数、天线相关参数、处理能力相关参数。
其中，波束相关参数包括以下至少之一：支持的模拟波束颗粒度、支持的模拟波束精度、支持的模拟波束可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、组合成模拟波束的波束数量、支持的模拟波束数量、模拟波束的主射方向的数量、与模拟波束生成相关的数模转换器的精度、与模拟波束生成相关的数模转换器的能力、与模拟波束生成相关的模数转换器的精度、与模拟波束生成相关的模数转换器的能力、与模拟波束生成相关的射频模块的精度、与模拟波束生成相关的射频模块的能力。
可选地，信道环境包括以下至少一项：发送功率、噪声功率、干扰功率、无线信号的视线传输LOS、无线信号的非视线传输NLOS、时延信息、散射情况、信道时变性、终端移动速度、终端旋转速度、终端周围遮挡变化速度、 遮挡情况。
本申请实施例中的波束的处理装置可以是装置，也可以是终端中的部件、集成电路、或芯片。该装置可以是移动终端，也可以为非移动终端。示例性的，移动终端可以包括但不限于上述所列举的终端11的类型，非移动终端可以为服务器、网络附属存储器(Network Attached Storage，NAS)、个人计算机(personal computer，PC)、电视机(television，TV)、柜员机或者自助机等，本申请实施例不作具体限定。
本申请实施例中的波束的处理装置可以为具有操作系统的装置。该操作系统可以为安卓(Android)操作系统，可以为ios操作系统，还可以为其他可能的操作系统，本申请实施例不作具体限定。
本申请实施例提供的波束的处理装置能够实现图6的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
可选的，如图6所示，本申请实施例还提供一种通信设备600，包括处理器601，存储器602，存储在存储器602上并可在所述处理器601上运行的程序或指令，例如，该通信设备600为终端时，该程序或指令被处理器601执行时实现上述波束的处理方法实施例的各个过程，且能达到相同的技术效果。该通信设备600为网络侧设备时，该程序或指令被处理器601执行时实现上述波束的处理方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
图7为实现本申请实施例的一种终端的硬件结构示意图。
该终端700包括但不限于：射频单元701、网络模块702、音频输出单元703、输入单元704、传感器705、显示单元706、用户输入单元707、接口单元708、存储器709、以及处理器710等部件。
本领域技术人员可以理解，终端700还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器710逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图7中示出的终端结构并不构成对终端的限定，终端可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
应理解的是，本申请实施例中，输入单元704可以包括图形处理器 (Graphics Processing Unit，GPU)7041和麦克风7042，图形处理器7041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元706可包括显示面板7061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板7061。用户输入单元707包括触控面板7071以及其他输入设备7072。触控面板7071，也称为触摸屏。触控面板7071可包括触摸检测装置和触摸控制器两个部分。其他输入设备7072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
本申请实施例中，射频单元701将来自网络侧设备的下行数据接收后，给处理器710处理；另外，将上行的数据发送给网络侧设备。通常，射频单元701包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器、双工器等。
存储器709可用于存储软件程序或指令以及各种数据。存储器709可主要包括存储程序或指令区和存储数据区，其中，存储程序或指令区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器709可以包括高速随机存取存储器，还可以包括非易失性存储器，其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。
处理器710可包括一个或多个处理单元；可选的，处理器710可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序或指令等，调制解调处理器主要处理无线通信，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器710中。
其中，处理器710，用于获取第一波束的质量信息，以及依据所述第一波束的质量信息确定第二波束的质量信息。
可选地，射频模块701，用于接收第二通信设备发送的第一配置信息，其中，第一配置信息包括：第一波束和所述第二波束的关联关系和第一波束 的资源信息；
处理器710，用于根据第一波束的资源信息对第一波束进行测量，得到第一波束的质量信息。
可选地，射频模块701，还用于接收第二通信设备发送的第二配置信息，其中，第二配置信息包括：第一指示信息和所述第一波束的资源信息；所述第一指示信息用于指示由人工智能模块确定第一波束和所述第二波束的关联关系；
处理器710，还用于根据第一波束的资源信息对所述第一波束进行测量，得到第一波束的质量信息
可选地，处理器710，还用于根据第一波束的质量信息和关联关系确定所述第二波束的质量信息。
另外，本申请实施例中图7中的终端还可以用于执行本申请实施例中波束的处理方法中的其他方法步骤，在此不再一一赘述。
通过本申请中的网络侧设备，在获取到第一波束的质量信息之后，可以根据该第一波束质量信息确定出第二波束的质量信息，这样在波束较多的情况下，可以通过其中一部分波束的质量信息确定出另一部分波束的质量信息，从而节省了资源开销，解决了相关技术中在波束较多的情况下，如果终端或网络侧设备要获取详细的波束信息，会导致资源开销较大的问题。
具体地，本申请实施例还提供了一种网络侧设备。如图8所示，该网络设备800包括：天线81、射频装置82、基带装置83。天线81与射频装置82连接。在上行方向上，射频装置82通过天线81接收信息，将接收的信息发送给基带装置83进行处理。在下行方向上，基带装置83对要发送的信息进行处理，并发送给射频装置82，射频装置82对收到的信息进行处理后经过天线81发送出去。
上述频带处理装置可以位于基带装置83中，以上实施例中网络侧设备执行的方法可以在基带装置83中实现，该基带装置83包括处理器84和存储器85。
基带装置83例如可以包括至少一个基带板，该基带板上设置有多个芯片，如图8所示，其中一个芯片例如为处理器84，与存储器85连接，以调用存 储器85中的程序，执行以上方法实施例中所示的网络设备操作。
该基带装置83还可以包括网络接口86，用于与射频装置82交互信息，该接口例如为通用公共无线接口(common public radio interface，CPRI)。
具体地，本申请实施例的网络侧设备还包括：存储在存储器65上并可在处理器84上运行的指令或程序，处理器84调用存储器85中的指令或程序执行图4所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述波束的处理方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的终端中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行网络侧设备程序或指令，实现上述波束的处理方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片，系统芯片，芯片系统或片上系统芯片等。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被 组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对相关技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (46)

  1. 一种波束的处理方法，由第一通信设备执行，包括：
    获取第一波束的质量信息；
    依据所述第一波束的质量信息确定第二波束的质量信息。
  2. 根据权利要求1所述的方法，其中，所述获取第一波束的质量信息，包括：
    接收第二通信设备发送的配置信息，其中，所述配置信息包括所述第一波束的资源信息；
    根据所述第一波束的资源信息对所述第一波束进行测量，得到所述第一波束的质量信息。
  3. 根据权利要求2所述的方法，其中，所述依据所述第一波束的质量信息确定第二波束的质量信息，包括：
    根据所述第一波束的质量信息和关联关系确定所述第二波束的质量信息，其中，所述关联关系是指所述第一波束和所述第二波束的关联关系。
  4. 根据权利要求3所述的方法，其中，所述关联关系通过以下至少一项确定：
    所述配置信息中携带有所述第一波束和所述第二波束的关联关系；
    由所述第二通信设备发送的指示信息确定，其中，所述指示信息用于指示使用第一人工智能模块确定所述关联关系，或用于指示所述第二通信设备从多个人工智能模块中所选择出的所述第一人工智能模块，或用于指示第二人工智能模块的参数信息；
    由协议约定所述关联关系。
  5. 根据权利要求1所述的方法，其中，所述第一波束包括如下至少一项：波束训练中的测量波束、波束测量中的测量波束、波束报告中的波束、无线链路监测RLM中的测量波束、无线资源管理RRM中的测量波束、用于邻区测量的测量波束；
    所述第二波束包括如下至少一项：波束报告中的波束、波束参考信息中的波束、准共址QCL信息中的波束、用于反映无线链路性能的波束、所述 RRM相应报告中的波束、邻区波束报告中的波束。
  6. 根据权利要求5所述的方法，其中，所述波束训练包括如下至少一项：层1L1的波束训练、层3L3的波束训练；和/或
    所述波束测量包括如下至少一项：L1的波束测量、L3的波束测量；和/或
    所述波束报告包括如下至少一项：L1的波束报告、层3L3的波束报告；和/或
    所述波束参考信息包括如下至少一项：信道的波束参考信息、信号的波束参考信息；和/或
    所述QCL信息包括如下至少一项：信道的QCL信息、信号的QCL信息。
  7. 根据权利要求6所述的方法，其中，所述信道包括以下至少一项：物理下行控制信道PDCCH、物理下行共享信道PDSCH、物理上行控制信道PUCCH、物理上行共享信道PUSCH、物理随机接入信道PRACH、物理广播信道PBCH；
    所述信号包括以下至少一项：解调参考信号DMRS、信道探测参考信号SRS、同步信号块SSB、追踪参考信号TRS、相位追踪参考信号PTRS、信道状态信息参考信号CSI-RS。
  8. 根据权利要求5所述的方法，其中，所述RRM中事件触发的测量行为的触发条件基于以下之一：所述第一波束的波束质量、所述第二波束的波束质量；
    所述RRM中事件触发的上报行为的触发条件基于以下之一：所述第一波束的波束质量、所述第二波束的波束质量。
  9. 根据权利要求1所述的方法，其中，所述第一波束包括如下至少一项：同步信号块SSB的测量波束、系统信息块SIB的测量波束、第一控制资源集CORESET的测量波束、由于波束失败检测而需要测量的波束、波束失败中的新波束指示而需要测量的波束；
    所述第二波束包括如下至少一项：随机接入信道RACH使用的波束、波束失败中用于判断是否发生波束失败的波束、波束失败中新选择的波束。
  10. 根据权利要求5或9所述的方法，其中，所述第二波束为待上报的 波束或为候选波束。
  11. 根据权利要求9所述的方法，其中，在所述第一波束为波束失败中的新波束指示而需要测量的波束，所述第二波束为波束失败中新选择的波束的情况下，物理层上报至高层的波束是所述第一波束，或物理层上报至高层的波束是所述第二波束。
  12. 根据权利要求4所述的方法，其中，所述关联关系包括以下至少一项：
    第一关联关系，其中，所述第一关联关系是指所述第一波束由多个第二波束通过第一数学运算方式确定；
    第二关联关系，其中，所述第二关联关系是指所述第二波束由多个第一波束通过第二数学运算方式确定；
    表示所述第一波束为所述第二波束的子集的关联关系；
    第三关联关系，其中，所述第三关联关系是指将至少一个所述第一波束作为人工智能网络的输入后，所述人工智能网络的输出为至少一个所述第二波束；
    第四关联关系，其中，所述第四关联关系是指将至少一个所述第二波束所述人工智能网络的输入后，所述人工智能网络的输出为至少一个所述第一波束；
    由波束赋形信息确定的关联关系；
    第五关联关系，其中，所述第五关联关系用于指示所述第一波束的配置信息和所述第二波束的配置信息分别配置在不同的列表中。
  13. 根据权利要求12所述的方法，其中，由波束赋形信息确定的关联关系的方式包括以下至少之一：
    通过所述波束赋形信息直接配置所述关联关系；
    通过所述波束赋形信息与所述第一波束的关联、所述波束赋形信息与所述第二波束的关联确定所述关联关系；
    通过所述波束赋形信息推导出所述关联关系。
  14. 根据权利要求12所述的方法，其中，所述第一通信设备上设置有多个天线面板，每个天线面板使用不同或相同的波束。
  15. 根据权利要求14所述的方法，其中，在每个天线面板使用至少一个所述第一波束的情况下，根据所述关联关系通过多个所述天线面板形成第二波束；
    在每个所述天线面板使用至少一个所述第二波束的，根据所述关联关系，通过多个所述天线面板形成所述第一波束。
  16. 根据权利要求12所述的方法，其中，所述第一通信设备上设置有数模转换器或模数转换器或射频模块，所述数模转换器或所述模数转换器或所述射频模块将至少一个波束进行幅度和/或相位的混合。
  17. 根据权利要求16所述的方法，其中，所述数模转换器或所述模数转换器或所述射频模块根据所述关联关系，将至少一个所述第一波束组合为所述第二波束；或，
    所述数模转换器或所述模数转换器或所述射频模块根据所述关联关系，将至少一个所述第二波束组合为所述第一波束。
  18. 根据权利要求12所述的方法，其中，确定所述关联关系的因素包括以下至少一项：所述第一通信设备的硬件信息、模拟波束选择、信道环境。
  19. 根据权利要求18所述的方法，其中，所述硬件信息包括以下至少一项：波束相关参数、天线相关参数、处理能力相关参数。
  20. 根据权利要求19所述的方法，其中，所述波束相关参数包括以下至少之一：支持的模拟波束颗粒度、支持的模拟波束精度、支持的模拟波束可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、组合成模拟波束的波束数量、支持的模拟波束数量、模拟波束的主射方向的数量、与模拟波束生成相关的数模转换器的精度、与模拟波束生成相关的数模转换器的能力、与模拟波束生成相关的模数转换器的精度、与模拟波束生成相关的模数转换器的能力、与模拟波束生成相关的射频模块的精度、与模拟波束生成相关的射频模块的能力。
  21. 根据权利要求20所述的方法，其中，所述信道环境包括以下至少一项：发送功率、噪声功率、干扰功率、无线信号的视线传输LOS、无线信号 的非视线传输NLOS、时延信息、散射情况、信道时变性、终端移动速度、终端旋转速度、终端周围遮挡变化速度、遮挡情况。
  22. 一种波束的处理装置，包括：
    获取模块，用于获取第一波束的质量信息；
    确定模块，用于依据所述第一波束的质量信息确定第二波束的质量信息。
  23. 根据权利要求22所述的装置，其中，所述获取模块包括：
    接收单元，用于接收第二通信设备发送的配置信息，其中，所述配置信息包括所述第一波束的资源信息；
    测量单元，用于根据所述第一波束的资源信息对所述第一波束进行测量，得到所述第一波束的质量信息。
  24. 根据权利要求23所述的装置，其中，所述确定模块，还用于根据所述第一波束的质量信息和关联关系确定所述第二波束的质量信息，其中，所述关联关系是指所述第一波束和所述第二波束的关联关系。
  25. 根据权利要求24所述的装置，其中，所述关联关系通过以下至少一项确定：
    所述配置信息中携带有所述第一波束和所述第二波束的关联关系；
    由所述第二通信设备发送的指示信息确定，其中，所述指示信息用于指示使用第一人工智能模块确定所述关联关系，或用于指示所述第二通信设备从多个人工智能模块中所选择出的所述第一人工智能模块，或用于指示第二人工智能模块的参数信息；
    由协议约定所述关联关系。
  26. 根据权利要求22所述的装置，其中，所述第一波束包括如下至少一项：波束训练中的测量波束、波束测量中的测量波束、波束报告中的波束、无线链路监测RLM中的测量波束、无线资源管理RRM中的测量波束、用于邻区测量的测量波束；
    所述第二波束包括如下至少一项：波束报告中的波束、波束参考信息中的波束、准共址QCL信息中的波束、用于反映无线链路性能的波束、所述RRM相应报告中的波束、邻区波束报告中的波束。
  27. 根据权利要求26所述的装置，其中，所述波束训练包括如下至少一 项：层1L1的波束训练、层3L3的波束训练；和/或
    所述波束测量包括如下至少一项：L1的波束测量、L3的波束测量；和/或
    所述波束报告包括如下至少一项：L1的波束报告、层3L3的波束报告；和/或
    所述波束参考信息包括如下至少一项：信道的波束参考信息、信号的波束参考信息；和/或
    所述QCL信息包括如下至少一项：信道的QCL信息、信号的QCL信息。
  28. 根据权利要求27所述的装置，其中，所述信道包括以下至少一项：物理下行控制信道PDCCH、物理下行共享信道PDSCH、物理上行控制信道PUCCH、物理上行共享信道PUSCH、物理随机接入信道PRACH、物理广播信道PBCH；
    所述信号包括以下至少一项：解调参考信号DMRS、信道探测参考信号SRS、同步信号块SSB、追踪参考信号TRS、相位追踪参考信号PTRS、信道状态信息参考信号CSI-RS。
  29. 根据权利要求26所述的装置，其中，所述RRM中事件触发的测量行为的触发条件基于以下之一：所述第一波束的波束质量、所述第二波束的波束质量；
    所述RRM中事件触发的上报行为的触发条件基于以下之一：所述第一波束的波束质量、所述第二波束的波束质量。
  30. 根据权利要求22所述的装置，其中，所述第一波束包括如下至少一项：同步信号块SSB的测量波束、系统信息块SIB的测量波束、第一控制资源集CORESET的测量波束、由于波束失败检测而需要测量的波束、波束失败中的新波束指示而需要测量的波束；
    所述第二波束包括如下至少一项：随机接入信道RACH使用的波束、波束失败中用于判断是否发生波束失败的波束、波束失败中新选择的波束。
  31. 根据权利要求26或30所述的装置，其中，所述第二波束为待上报的波束或为候选波束。
  32. 根据权利要求30所述的装置，其中，在所述第一波束为波束失败中 的新波束指示而需要测量的波束，所述第二波束为波束失败中新选择的波束的情况下，物理层上报至高层的波束是所述第一波束，或物理层上报至高层的波束是所述第二波束。
  33. 根据权利要求25所述的装置，其中，所述关联关系包括以下至少一项：
    第一关联关系，其中，所述第一关联关系是指所述第一波束由多个第二波束通过第一数学运算方式确定；
    第二关联关系，其中，所述第二关联关系是指所述第二波束由多个第一波束通过第二数学运算方式确定；
    表示所述第一波束为所述第二波束的子集的关联关系；
    第三关联关系，其中，所述第三关联关系是指将至少一个所述第一波束作为人工智能网络的输入后，所述人工智能网络的输出为至少一个所述第二波束；
    第四关联关系，其中，所述第四关联关系是指将至少一个所述第二波束所述人工智能网络的输入后，所述人工智能网络的输出为至少一个所述第一波束；
    由波束赋形信息确定的关联关系；
    第五关联关系，其中，所述第五关联关系用于指示所述第一波束的配置信息和所述第二波束的配置信息分别配置在不同的列表中。
  34. 根据权利要求33所述的装置，其中，由波束赋形信息确定的关联关系的方式包括以下至少之一：
    通过所述波束赋形信息直接配置所述关联关系；
    通过所述波束赋形信息与所述第一波束的关联、所述波束赋形信息与所述第二波束的关联确定所述关联关系；
    通过所述波束赋形信息推导出所述关联关系。
  35. 根据权利要求33所述的装置，其中，第一通信设备上设置有多个天线面板，每个天线面板使用不同或相同的波束。
  36. 根据权利要求35所述的装置，
    在每个天线面板使用至少一个所述第一波束的情况下，根据所述关联关 系通过多个所述天线面板形成第二波束；
    在每个所述天线面板使用至少一个所述第二波束的，根据所述关联关系，通过多个所述天线面板形成所述第一波束。
  37. 根据权利要求33所述的装置，其中，第一通信设备上设置有数模转换器或模数转换器或射频模块，所述数模转换器或所述模数转换器或所述射频模块将至少一个波束进行幅度和/或相位的混合。
  38. 根据权利要求37所述的装置，其中，所述数模转换器或所述模数转换器或所述射频模块根据所述关联关系，将至少一个所述第一波束，组合为所述第二波束；或，
    所述数模转换器或所述模数转换器或所述射频模块根据所述关联关系，将至少一个所述第二波束，组合为所述第一波束。
  39. 根据权利要求33所述的装置，其中，确定所述关联关系的因素包括以下至少一项：第一通信设备的硬件信息、模拟波束选择、信道环境。
  40. 根据权利要求39所述的装置，其中，所述硬件信息包括以下至少一项：波束相关参数、天线相关参数、处理能力相关参数。
  41. 根据权利要求40所述的装置，其中，所述波束相关参数包括以下至少之一：支持的模拟波束颗粒度、支持的模拟波束精度、支持的模拟波束可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、模拟波束赋形向量中元素的颗粒度、模拟波束赋形向量中元素的精度、模拟波束赋形向量中元素的可选值、组合成模拟波束的波束数量、支持的模拟波束数量、模拟波束的主射方向的数量、与模拟波束生成相关的数模转换器的精度、与模拟波束生成相关的数模转换器的能力、与模拟波束生成相关的模数转换器的精度、与模拟波束生成相关的模数转换器的能力、与模拟波束生成相关的射频模块的精度、与模拟波束生成相关的射频模块的能力。
  42. 根据权利要求39所述的装置，其中，所述信道环境包括以下至少一项：发送功率、噪声功率、干扰功率、无线信号的视线传输LOS、无线信号的非视线传输NLOS、时延信息、散射情况、信道时变性、终端移动速度、终端旋转速度、终端周围遮挡变化速度、遮挡情况。
  43. 一种通信设备，包括处理器，存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，其中，所述程序或指令被所述处理器执行时实现如权利要求1至21任一项所述的波束的处理方法的步骤。
  44. 一种可读存储介质，所述可读存储介质上存储程序或指令，其中，所述程序或指令被所述处理器执行时实现如权利要求1至21任一项所述的波束的处理方法的步骤。
  45. 一种芯片，包括处理器和通信接口，其中，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如权利要求1-21中任一项所述的波束的处理方法的步骤。
  46. 一种计算机程序产品，其中，所述计算机程序产品被存储在非易失的存储介质中，所述计算机程序产品被至少一个处理器执行以实现如权利要求1-21中任一项所述的波束的处理方法的步骤。
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