WO2024027536A1

WO2024027536A1 - Sensing processing method and apparatus, terminal, and network side device

Info

Publication number: WO2024027536A1
Application number: PCT/CN2023/109343
Authority: WO
Inventors: 李健之; 姜大洁; 姚健
Original assignee: 维沃移动通信有限公司
Priority date: 2022-08-01
Filing date: 2023-07-26
Publication date: 2024-02-08
Also published as: CN117560102A

Abstract

The present application relates to the technical field of sensing, and discloses a sensing processing method and apparatus, a terminal, and a network side device. The sensing processing method in embodiments of the present application comprises: a first device determines a first measurement result of a first measurement, the first measurement being a multi-port-based joint communication and sensing beam measurement, and the first measurement comprising at least one of the following: a communication measurement and a sensing measurement; and a joint communication and sensing measurement; the first device determines at least one of a first beam set and a second beam set on the basis of the first measurement result, the first beam set comprising at least one beam satisfying a sensing condition, and the second beam set comprising at least one beam satisfying a joint communication and sensing condition.

Description

Perception processing method, device, terminal and network side equipment

Cross-references to related applications

This application claims priority to Chinese Patent Application No. 202210916168.1 filed in China on August 1, 2022, the entire content of which is incorporated herein by reference.

Technical field

This application belongs to the field of sensing technology, and specifically relates to a sensing processing method, device, terminal and network side equipment.

Background technique

With the development of communication technology, in communication systems, sensing targets can be measured based on sensing signals or synaesthetic integrated signals. Currently, beam management is usually performed based on a single port to determine the set of beams used to send sensing signals or synaesthesia integration signals. Therefore, in related technologies, perception accuracy is low due to limitations in the number of ports.

Contents of the invention

Embodiments of the present application provide a sensing processing method, device, terminal and network side equipment, which can solve the problem of low sensing accuracy.

The first aspect provides a perceptual processing method, including:

The first device determines a first measurement result of a first measurement, the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement ;

At least one of a first beam set and a second beam set determined by the first device based on the first measurement result, the first beam set including at least one beam that satisfies the sensing condition, and the second beam set Includes at least one beam that satisfies the synaesthetic association condition.

The second aspect provides a perception processing method, including:

The target sensing node receives first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement;

The target sensing node performs sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal for the first measurement, and the second sensing node is a sending node of the first signal. The receiving node; the target beam set includes at least one of the first beam set, the second beam set and the third beam set, the first beam set includes at least one beam that satisfies the sensing condition, and the third beam set includes The two beam sets include at least one beam that meets synaesthesia joint conditions, the third beam set includes at least one beam that satisfies communication conditions; the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement Include at least one of the following: communication measurement and perception measurement; combined synaesthesia measurement.

In a third aspect, a perception processing device is provided, including:

A first determination module, configured to determine a first measurement result of a first measurement, where the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement;

The second determination module is configured to determine at least one of the first beam set and the second beam set based on the first measurement result. The first beam set includes at least one beam that satisfies the sensing condition, and the second beam set determines at least one of the first beam set and the second beam set based on the first measurement result. The beam set includes at least one beam that satisfies the synaesthetic association condition.

In the fourth aspect, a perception processing device is provided, applied to the target perception node, including:

a second receiving module, configured to receive first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement;

A second execution module, configured to execute sensing services based on the first beam information;

In a fifth aspect, a terminal is provided. The terminal includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, the following implementations are implemented: The steps of the method described in one aspect, or the steps of implementing the method described in the second aspect.

In a sixth aspect, a terminal is provided, including a processor and a communication interface, wherein,

In the case where the terminal is a first device, the processor is configured to determine a first measurement result of a first measurement, the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes the following At least one of: communication measurement and perception measurement; synaesthesia joint measurement; at least one of the first beam set and the second beam set determined based on the first measurement result, the first beam set includes those that meet the perception conditions. At least one beam, the second beam set includes at least one beam that satisfies the synaesthetic association condition.

Or, in the case where the terminal is a sensing node, the communication interface is used to receive first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement; The processor is configured to perform sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal for the first measurement, and the second sensing node is a sending node of the first signal. receiving node; the target beam set includes at least one of a first beam set, a second beam set, and a third beam set, the first beam set includes at least one beam that satisfies the sensing condition, and the second beam set The set includes at least one beam that meets synaesthesia joint conditions, the third beam set includes at least one beam that satisfies communication conditions; the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes the following At least one: communication measurement and perception measurement; communication Sensory joint measurement.

In a seventh aspect, a network side device is provided. The network side device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The program or instructions are executed by the processor. When implementing the steps of the method described in the first aspect, or implementing the steps of the method described in the second aspect.

In an eighth aspect, a network side device is provided, including a processor and a communication interface, wherein,

In the case where the network side device is a first device, the processor is configured to determine a first measurement result of a first measurement, the first measurement is based on multi-port synaesthetic joint beam measurement, and the first measurement Including at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement; at least one of the first beam set and the second beam set determined based on the first measurement result, the first beam set includes at least one beam that satisfies the synaesthetic combination condition, and the second beam set includes at least one beam that satisfies the synaesthetic association condition.

Alternatively, when the network side device is a sensing node, the communication interface is used to receive first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement. ;The processor is configured to perform sensing services based on the first beam information;

In a ninth aspect, a communication system is provided, including: a terminal and a network side device. The terminal can be used to perform the steps of the sensing processing method as described in the first aspect or the second aspect. The network side device can be used to perform The steps of the perception processing method as described in the first aspect or the second aspect.

In a tenth aspect, a readable storage medium is provided. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method are implemented as described in the first aspect. The steps of the method described in the second aspect.

In an eleventh aspect, a chip is provided. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the method described in the first aspect. The steps of a method, or steps of implementing a method as described in the second aspect.

In a twelfth aspect, a computer program/program product is provided, the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement as described in the first aspect The steps of the method, or the steps of implementing the method as described in the second aspect.

The embodiment of the present application determines the first measurement result of the first measurement through the first device. The first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement. ; Synaesthesia joint measurement; The first beam set and the second beam set determined by the first device based on the first measurement result. At least one item, the first beam set includes at least one beam that satisfies the perception condition, and the second beam set includes at least one beam that satisfies the synaesthesia association condition. Since the first measurement is performed on multiple ports, the number of ports for beam management is increased, thus fully utilizing the array aperture to achieve high-precision/super-resolution sensing. Therefore, the embodiments of the present application improve the accuracy of sensing, improve the sensing SNR, and overcome the problem of limited high-frequency sensing coverage.

Description of the drawings

Figure 1 is a schematic diagram of the network structure used in this application;

Figure 2 is a flow chart of a perception processing method provided by this application;

Figure 3 is a schematic diagram of a sensing scene applied by a sensing processing method provided by this application;

Figure 4 is a flow chart of another perception processing method provided by this application;

Figure 5 is a structural diagram of a perception processing device provided by this application;

Figure 6 is a structural diagram of another perception processing device provided by this application;

Figure 7 is a structural diagram of the communication device provided by this application;

Figure 8 is a structural diagram of the terminal provided by this application;

Figure 9 is a structural diagram of a network side device provided by this application;

Figure 10 is a structural diagram of another network side device provided by this application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this 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 terms 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 that "first" and "second" are distinguished objects It is usually one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

It is worth pointing out that the technology described in the embodiments of this application is not limited to Long Term Evolution (LTE)/LTE Evolution (LTE-Advanced, LTE-A) systems, and can also be used in other wireless communication systems, such as code Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access, OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA) and other systems. The terms "system" and "network" in the embodiments of this 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. The following description describes a New Radio (NR) system for example purposes, And NR terminology is used in most of the following descriptions, but these technologies can also be applied to applications other than NR system applications, such as 6th Generation ( ^6th Generation, 6G) communication systems.

Figure 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable. The wireless communication system includes a terminal 11 and a network side device 12. Among them, the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a handheld computer, a netbook, or a super mobile personal computer. (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), augmented reality (augmented reality, AR)/virtual reality (VR) equipment, robots, wearable devices (Wearable Device) , vehicle user equipment (VUE), pedestrian terminal (Pedestrian User Equipment, PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture, etc.), game consoles, personal computers (personal computer, PC), teller machine or self-service machine and other terminal-side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets) bracelets, smart anklets, etc.), smart wristbands, smart clothing, etc. It should be noted that the embodiment of the present application does not limit the specific type of the terminal 11. The network side equipment 12 may include access network equipment or core network equipment, where the access network equipment may also be called wireless access network equipment, radio access network (Radio Access Network, RAN), radio access network function or wireless access network unit. Access network equipment can include base stations, Wireless Local Area Network (WLAN) access points or WiFi nodes, etc. The base station can be called Node B, Evolved Node B (eNB), access point, base transceiver station ( Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), home B-node, home evolved B-node, sending and receiving point ( 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. It should be noted that in the embodiment of this application, only the NR system is used The base station is introduced as an example, and the specific type of base station is not limited. Core network equipment may include but is not limited to at least one of the following: core network nodes, core network functions, mobility management entities (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Services Discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data warehousing (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration ( Centralized network configuration, CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (Local NEF, or L-NEF), Binding Support Function (Binding Support Function, BSF), application function (Application Function, AF), etc. It should be noted that in the embodiment of this application, only the core network equipment in the NR system is used as an example for introduction, and the specific type of the core network equipment is not limited.

To facilitate understanding, some contents involved in the embodiments of this application are described below:

1. Integrated Sensing and Communication (ISAC).

Wireless communications and radar sensing (Communication & Sensing, C&S) have been developing in parallel, but the intersection is limited. They have many commonalities in signal processing algorithms, equipment, and to a certain extent system architecture. In recent years, traditional radar is developing towards more general wireless sensing. Wireless sensing can broadly refer to retrieving information from received radio signals. For wireless sensing related to sensing the target position, common signal processing methods can be used to estimate target signal reflection delay, arrival angle, departure angle, Doppler and other dynamic parameters; for sensing the physical characteristics of the target, the device can be /Object/Activity's intrinsic signal patterns are measured to achieve this. The two sensing methods can be called sensing parameter estimation and pattern recognition respectively. In this sense, wireless sensing refers to more general sensing technologies and applications that use radio signals.

Communication perception integration can also be called synaesthesia integration. ISAC has the potential to integrate wireless perception into mobile networks, which is called Perceptive Mobile Networks (PMNs) here. Sensing mobile networks are capable of providing both communication and wireless sensing services, and are expected to become a ubiquitous wireless sensing solution due to their large broadband coverage and strong infrastructure. Perceptual mobile networks can be widely used in communication and sensing in the fields of transportation, communications, energy, precision agriculture, and security. It can also provide complementary sensing capabilities to sensor networks in related technologies, with unique day and night operation capabilities and the ability to penetrate fog, foliage and even solid objects.

Multiple-Input Multiple-Output (MIMO) radar and high-precision parameter estimation technology.

MIMO radar uses waveform diversity (Waveform Diversity) and virtual array (Virtual Array) characteristics to obtain higher detection/estimation resolution, higher maximum number of identifiable targets, and better detection/estimation resolution than phase array (Phase Array). Clutter suppression capability. MIMO radar can be divided into centralized MIMO radar (Co-located MIMO Radar) and distributed MIMO radar (Distributed MIMO Radar) according to the deployment location of the antenna. The principle of MIMO radar virtual array is as follows. Consider that the total number of MIMO radar transmitting array antennas is M, the position coordinates of each transmitting antenna are x _T,m ,m=0,1,...,M-1, the total number of receiving array antennas is N, and the coordinates of each receiving antenna are x _{R, n} ,n=0,1,...,N-1. Assuming that the signals transmitted by each transmitting antenna are orthogonal, then:

Among them, s _m (t) represents the transmission signal of the m-th antenna, s _k (t) represents the transmission signal of the k-th antenna, and δ _mk is the Dirac function. At this time, each receiving antenna of the receiver uses M matched filters to separate the transmitted signals, so the receiver obtains a total of NM received signals. Considering a far-field point target, the target response obtained by the m-th matched filter of the n-th receiving antenna can be expressed as:

Among them, u _t is a unit vector pointing from the radar transmitter to the point target, α ^(t) is the reflection coefficient of the point target, and λ is the carrier frequency wavelength of the transmitted signal.

It can be seen that the phase of the reflected signal is determined by both the transmitting and receiving antennas. Equivalently, the target response of equation (2) is exactly the same as the target response obtained by an array with NM antennas. The equivalent array antenna position coordinates are:
{x _T,m +x _R,n |m＝0,1,...,M-1; n＝0,1,...,N-1} (3)

The array with the number of antennas NM is called a virtual array (Virtual Array, VA). When MIMO radar is actually deployed, by reasonably setting the positions of the transmitting array and/or receiving array, an array containing NM non-overlapping virtual antennas can be constructed using only N+M physical antennas. Since virtual arrays tend to form larger array apertures, better angular resolution can be obtained.

Considering the implementation complexity and hardware cost issues, most of the 5G and 6G large-scale antenna arrays adopt a hybrid array architecture, that is, a digital channel is independently connected to a physical antenna sub-array (i.e., a group of physical antenna elements), and the sub-array is synsensed A set of phase shifters implements analog beamforming. Digital channels are often smaller than the actual number of physical antenna elements. If traditional high-precision parameter estimation algorithms (such as MUSIC, ESPRIT, etc.) are directly used, the high-precision angle sensing potential of large-scale antenna arrays will not be fully utilized. Literature [4] proposes an augmented beam domain angle estimation method that can solve the above problems. The core idea is as follows. Consider a linear array with N antennas, in which L consecutive antennas are a sub-array, connected to a digital channel through a phase shifter, with a total of M digital channels, that is, N=ML. Suppose b _m is the analog beamforming vector of the m-th sub-array, then the relationship between the antenna received signal vector r(n)∈C ^N×1 and the shaped and combined digital channel signal vector z(n)∈C ^M×1 for:

where B∈C ^N×M is the simulation beamforming matrix. Obviously, compared with the all-digital channel array, the dimension of the received signal vector z(n) has changed from N×1 to M×1. If M is too small, on the one hand, the angle estimation resolution will be reduced, and on the other hand, the signal that can be estimated The number is significantly limited. The idea of the augmented beam domain estimation method is to generate T groups of linearly independent z(n) by changing B and splicing them together, thereby expanding the received signal vector dimension and the degree of freedom of the correlation matrix, that is, z(n)=B ^H (n )r(n), the received signal vector is [z(n), z(n+1),..., z(n+T-1)], and the dimension becomes MT×1.

3. New Radio (NR) beam management.

At present, the idle frequency bands of mobile communication networks are decreasing day by day, and the used frequency bands are gradually developing towards high frequencies, such as millimeter wave (mmWave) promoted by 5G NR and terahertz (THz) promoted by 6G. These frequency bands have a large number of Available resources. However, higher frequencies mean greater transmission losses, so beam management techniques are used in NR. In mobile communication networks, both base stations and user equipment (UE) may use beam forming to form beams with narrow beam widths. The purpose of beam management is to obtain and maintain a set of base station-terminal beam pairs that can be used for downlink (Down Link, DL) and (Up Link, UL) transmission/reception to improve link performance. Beam management includes the following aspects: beam scanning, beam measurement, beam reporting, beam indication, and beam failure recovery.

During the downlink beam management process, beam scanning is divided into three stages: P1, P2, and P3, among which:

P1 stage: The base station and the terminal scan simultaneously, the base station’s beam is wider, and the reference signal is a synchronization signal block (Synchronization Signal and PBCH block, SSB). The protocol stipulates the transmission behavior of the base station, but does not stipulate the behavior of the terminal;

P2 stage: The terminal fixes the receiving beam, the base station scans the narrow beam, and the reference signal is the channel state information reference signal (Channel State Information Reference Signal, CSI-RS);

P3 stage: The base station transmits a fixed beam (narrow beam), and the terminal scans the narrow beam. The terminal beam scanning is its own behavior, and the base station needs to cooperate with the fixed beam transmission.

Among the above three processes, P1 must be executed, but P2 and P3 are not necessary. On the basis of P1, if there are higher requirements for the service, the P2 process can be executed; if the terminal capability is available and the base station believes that the service performance can be further improved, the P3 process can be executed. The P1 process usually only relies on SSB. The P3 process requires a fixed terminal to transmit the beam, so it is not suitable to use SSB and should use CSI-RS. The P2 process can be based on either SSB or CSI-RS.

The beam scanning of uplink beam management is based on SRS. Similar to downlink, it can be divided into U1, U2 and U3 stages, among which:

U1 phase: The base station scans the transmit beam of the terminal to determine the optimal transmit beam of the UE, and at the same time scans the receive beam of the TRP to determine the optimal receive beam of the base station; (this process is optional)

U2 phase: When the UE transmit beam is fixed, the base station scans the TRP receive beam and determines the optimal receive beam;

U3 stage: On the premise of determining the optimal receiving beam, the base station selects the optimal UE transmitting beam by scanning the terminal's transmit beam;

Uplink beam management can be accomplished by configuring dedicated Sounding Reference Signal (SRS) resources, or it can be based on beam reciprocity and determine the best uplink transmit beam (direction) through the best downlink transmit beam.

If the current reception quality of the user control channel is lower than a certain threshold due to occlusion, the terminal side initiates a beam failure recovery process. Beam failure detection is mainly based on the SSB or CSI-RS reference signal configured on the base station side. If the terminal detects that the number of failures is greater than or equal to the maximum number of failures within the failure detection timer, it triggers the beam failure recovery process. The TRP receives the uplink recovery request signal through the receiving end beam scanning, and the terminal will recover based on the beam. Re-select the new SSB corresponding beam according to the parameter configuration, initiate a random access process on the Physical Random Access Channel (PRACH) resource used for beam recovery, re-establish a new beam pair with the base station, and resume transmission.

4. Perceptual measurement.

In the mobile communication network, the base station (including one or more transmission reception points (TRP) on the base station), the user equipment (User Equipment, UE) (including one or more sub-arrays/panels (Panel) on the UE) )), can be used as a sensing node participating in sensing/synaesthesia integrated services. Typical UEs include mobile phone terminals, portable tablet computers, etc. By sending and receiving the first signal between nodes, it is possible to realize a certain area or an entity target Perception is performed. The first signal may be a signal that does not contain transmission information, such as LTE/NR synchronization and reference signals in related technologies, including SSB, CSI-RS, Demodulation Reference Signal (DMRS), SRS, Positioning Reference Signal (PRS), Phase Tracking Reference Signal (PTRS), etc.; it can also be single-frequency continuous wave (CW), frequency modulated continuous wave (Frequency Modulated) commonly used in radar CW, FMCW), and ultra-wideband Gaussian pulses, etc.; it can also be a newly designed dedicated signal with good correlation characteristics and low peak-to-average power ratio, or a newly designed synaesthesia integrated signal that not only carries certain information but also has Better perceived performance. For example, the new signal is spliced/combined/superimposed on at least one dedicated sensing signal/reference signal and at least one communication signal in the time domain and/or frequency domain.

Depending on whether the sensing nodes are the same device, it can be divided into two sensing methods: A sending and B receiving, and A spontaneously receiving. A sending and receiving B means that sensing node A and sensing node B are not the same device and are physically separated; A spontaneous and self-receiving means that the first signal is sent and received by the same device, and sensing node A performs sensing by receiving the signal echo sent by itself. . This patent mainly discusses the A sending and B receiving sensing method.

The node that sends and/or receives the first signal is called a sensing node. The node that instructs, schedules, controls, and calculates sensing results can be one of the sensing nodes, or it can be a device in the core network, such as sensing function network element (Sensing Function, SF), access And mobility management function (Access and Mobility Management Function, AMF), awareness application server in the core network, etc.

Since 5G and future 6G will increasingly use high-frequency band communications, NR has introduced beam management to overcome high-frequency attenuation, enhance communication coverage, and ensure communication quality. For base stations or UEs with multiple antennas, a digital channel is usually connected to multiple physical antenna elements, and multiple physical antenna elements use analog beamforming to generate directional beams. When the sensing node has less prior information about the environment, or the sensing service is to sense a larger area, a single beam of the above hardware architecture may not be able to cover the sensing target/sensing area. If a wide beam is used to increase sensing coverage, the sensing angular resolution will decrease due to the increase in beam width. Furthermore, since beam management uses fewer ports (SSB is a single port and the number of CSI-RS ports is 1 or 2 (cross-polarization)), it is impossible or difficult to achieve high-precision sensing based on the MIMO radar principle.

To this end, this application provides a sensing node with at least two ports (or multi-ports) for beam management, where at least two ports are mapped to physical antennas/antenna sub-arrays at different array locations for sensing; and wherein At least one port is used for communication. Communication and sensing can share at least one port. Multi-port synaesthetic joint beam management at least includes: synaesthetic joint beam scanning, synaesthetic joint beam measurement, synaesthetic joint beam reporting/instruction, and synaesthetic joint beam failure recovery. Based on the sensing measurement value of no less than 1 port and the communication measurement value of at least 1 port, obtain the optimal communication beam set of at least one port and the optimal sensing beam set of each port, or obtain at least The optimal synaesthesia joint beam set of one port, thereby fully utilizing the array aperture to achieve high-precision sensing.

The perception processing method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through some embodiments and application scenarios.

Referring to Figure 2, an embodiment of the present application provides a perception processing method. As shown in Figure 2, the perception processing method includes:

Step 201: The first device determines the first measurement result of the first measurement. The first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; Sensory joint measurement;

In the embodiment of the present application, the above-mentioned first measurement result can be understood as including at least one of the following multi-port synaesthesia combined wave The sensory measurement quantity of the beam and/or the synaesthesia joint measurement quantity of the multi-port synaesthesia joint beam, optionally, may further include the communication measurement quantity of the multi-port synaesthesia joint beam. The above-mentioned first device can be understood as a computing node that calculates the first measurement result. The first device may specifically be a sensing node or a sensing function network element, which is not further limited here.

Optionally, based on multi-port sensing measurement, it can be understood that the first sensing node and/or the second sensing node perform synaesthesia joint beam scanning on at least two ports to achieve sensing measurement and communication measurement, and/or to achieve synaesthesia. Joint measurements. The first sensing node is a sending node of the first signal used for the first measurement, and the second sensing node is a receiving node of the first signal.

Step 202: The first device determines at least one of a first beam set and a second beam set based on the first measurement result. The first beam set includes at least one beam that satisfies the sensing condition, and the third beam set determines at least one of the first beam set and the second beam set. The two-beam set includes at least one beam that satisfies the synaesthetic association condition.

Optionally, after determining the first measurement result, the first device may determine the first beam set, that is, the beam set that meets the sensing conditions, based on the above-mentioned first measurement result, or may determine the second beam set based on the above-mentioned first measurement result, That is, the beam set that satisfies the synaesthesia association condition, the first beam set and the second beam set can also be determined.

Among them, the above-mentioned at least one beam that meets the sensing conditions can be understood that the sensing measurement quantity corresponding to the at least one beam satisfies the sensing condition, that is, the measurement value of the sensing measurement quantity of the at least one beam is good and can be used for subsequent synesthesia integrated services. . The above-mentioned first beam set can be understood as the optimal sensing beam set.

The above-mentioned at least one beam that satisfies the synaesthetic joint condition can be understood that the synaesthetic joint measurement quantity corresponding to the at least one beam satisfies the synaesthetic joint condition, that is, the measured value of the synaesthetic joint measurement quantity of the at least one beam is good and can be used for Follow-up synaesthesia integration business. The above-mentioned second beam set can be understood as the optimal synaesthesia joint beam set.

The embodiment of the present application determines the first measurement result of the first measurement through the first device. The first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement. ; Synaesthesia joint measurement; at least one of a first beam set and a second beam set determined by the first device based on the first measurement result, the first beam set including at least one beam that satisfies the sensing condition, The second set of beams includes at least one beam that satisfies synaesthetic association conditions. Since the first measurement is performed on multiple ports, the number of ports for beam management is increased, thus fully utilizing the array aperture to achieve high-precision/super-resolution sensing. Therefore, the embodiments of the present application improve the accuracy of sensing, improve the sensing signal-to-noise ratio (SNR), and overcome the problem of limited high-frequency sensing coverage.

Optionally, in some embodiments, the method further includes any of the following:

The first device determines a third beam set based on the first measurement result;

When the first device is a first sensing node or a sensing function network element, the first device receives a third beam set from the second device;

Wherein, the third beam set includes at least one beam that satisfies communication conditions. When the first device is a first sensing node, the second device is a second sensing node or a sensing function network element. When the first device is a sensing function network element, the second device is the first sensing node or the second sensing node, and the first sensing node is the first sensing node used for the first measurement. The sending node of the signal, the second sensing node is the first signal number of receiving nodes.

In the embodiment of the present application, the above third beam set may be confirmed by the second sensing node, or may be confirmed by the first device. When confirmed by the second sensing node, the second sensing node may notify the first sensing node and/or Or the sensing function network element sends at least part of the beams in the third beam set, and the third beam set can be called the optimal communication beam set.

Optionally, in some embodiments, the method further includes:

The first device sends first beam information to the third device, where the first beam information includes beam information of at least some beams in a target beam set, and the target beam set includes the first beam set, the second beam set, and the first beam information. At least one of a beam set and the third beam set;

Wherein, the first device is one of the first sensing node, the second sensing node and the sensing function network element, and the third device includes the first sensing node, the second sensing node and the sensing function network element. At least one device other than the first device.

In the embodiment of the present application, in the process of multi-port synaesthesia joint beam measurement, the first sensing node may perform a beam scanning operation (which may also be called a synaesthesia joint beam scanning operation) and/or the second sensing node may perform a beam scanning operation. In the scanning operation, for different situations, the corresponding first beam information contains different contents. For example, in some embodiments, the first beam information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first beam information includes the target beam set Beam information of the transmission beam of the first sensing node;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes the information in the target beam set. Beam information of the receiving beam of the second sensing node;

In the case where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, the first beam information includes the target beam set The beam information of the transmitting beam of the first sensing node in the target beam set, and/or the beam information of the receiving beam of the second sensing node in the target beam set;

Wherein, the first beam scanning operation is used to send a first signal, the second beam scanning operation is used to receive a first signal, and N and M are both integers greater than 1.

In the embodiment of the present application, for the situation where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node uses at least one port to receive, it can be understood that the beam scanning rule is only the first sensing node Perform multi-port synaesthesia joint beam scanning; for the situation where the first sensing node uses at least one port to send the first signal, and the second sensing node performs the second beam scanning operation on M ports, it can be understood that the beam scanning rule is: Only the second sensing node performs multi-port synaesthesia joint beam scanning; for the situation where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports , it can be understood that the beam scanning rule is that both the first sensing node and the second sensing node perform multi-port synaesthesia joint beam scanning.

It should be noted that for different scanning rules, the corresponding computing nodes are different, and the corresponding first beam information The sending rules are different, which are explained in detail below.

For Rule 1, only the first sensing node performs multi-port synaesthesia joint beam scanning, which may include the following situations:

1) If the second sensing node is the calculation node of the first measurement result (i.e., synaesthesia joint beam measurement result), the second sensing node sends to the first sensing node the transmission beam of the first sensing node that meets the sensing conditions and communication conditions respectively. The beam information of the first sensing node is sent to the first sensing node, or the beam information of the sending beam of the first sensing node that meets the synaesthetic joint condition is sent to the first sensing node. Optionally, the second sensing node sends the beam information of the sending beam of the first sensing node that meets the sensing conditions and communication conditions to the sensing function network element, or sends the first sensing node that meets the synaesthesia joint condition to the sensing function network element. The beam information of the transmit beam;

2) If the first sensing node is the computing node of the first measurement result, optionally, the first sensing node sends the first sensing node that satisfies the sensing condition or synaesthesia joint condition to the sensing function network element and/or the second sensing node. The beam information of the transmitting beam; if the second sensing node determines the transmitting beam of the first sensing node that meets the communication conditions, the second sensing node sends the beam information of the transmitting beam of the first sensing node that meets the communication conditions to the first sensing node ; If the first sensing node determines the transmission beam of the first sensing node that meets the communication conditions, optionally, the first sensing node sends the transmission beam of the first sensing node that meets the communication conditions to the sensing function network element and/or the second sensing node. Beam information of the beam;

3) If the sensing function network element is the calculation node of the first measurement result, the sensing function network element sends to the first sensing node the beam information of the sending beam of the first sensing node that meets the sensing conditions or synaesthesia joint conditions. Optionally, the sensing function network element sends the beam information of the transmitting beam of the first sensing node that meets the sensing conditions to the second sensing node; if the second sensing node determines the transmitting beam of the first sensing node that meets the communication conditions, then the second sensing node The sensing node sends the beam information of the sending beam of the first sensing node that satisfies the communication condition to the first sensing node; optionally, the second sensing node sends the beam of the sending beam of the first sensing node that satisfies the communication condition to the sensing function network element. information.

For Rule 2, only the second sensing node performs multi-port synaesthesia joint beam scanning, which may include the following situations:

1) If the second sensing node is the calculation node of the first measurement result, optionally, the second sensing node sends the second sensing node's information that meets the sensing conditions and communication conditions to the sensing function network element and/or the first sensing node respectively. Receive the beam information of the beam, or send the beam information of the receiving beam of the second sensing node that meets the synaesthesia joint condition to the sensing function network element and/or the first sensing node;

2) If the first sensing node is the calculation node of the first measurement result, the first sensing node sends to the second sensing node the beam information of the receiving beam of the second sensing node that meets the sensing conditions or synaesthesia joint conditions; optionally, The first sensing node sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions or synaesthesia joint conditions to the sensing function network element; if the first sensing node also determines the receiving beam of the second sensing node that meets the communication conditions, then The first sensing node sends beam information of the receiving beam of the second sensing node that meets the communication conditions to the second sensing node;

3) If the sensing function network element is the calculation node of the first measurement result, the sensing function network element sends to the second sensing node the beam information of the receiving beam of the second sensing node that meets the sensing conditions or synaesthesia joint conditions. Optionally, the sensing function network element sends to the first sensing node the beam information of the receiving beam of the second sensing node that meets the sensing conditions or synaesthesia joint conditions; if the sensing function network element also determines that the receiving beam of the second sensing node that meets the communication conditions is When receiving a beam, the sensing function network element sends the beam information of the receiving beam of the second sensing node that meets the communication conditions to the second sensing node;

For Rule 3, both the first sensing node and the second sensing node perform multi-port synaesthesia joint beam scanning, which may include the following situations:

1) If the second sensing node is the calculation node of the first measurement result, the second sensing node sends the beam information of the sending beam of the first sensing node that meets the sensing conditions and communication conditions to the first sensing node, or sends the first sensing node to the first sensing node. The node sends the beam information of the sending beam of the first sensing node that satisfies the synaesthetic joint condition. Optionally, the second sensing node sends the beam information of the transmission beam of the first sensing node to the sensing function network element; optionally, the second sensing node sends the second sensing node that satisfies the sensing conditions and communication conditions to the sensing function network element. Beam information of the receiving beam of the sensing node, or send a set of receiving beams of the second sensing node that meets the third condition to the sensing function network element;

2) If the first sensing node is the calculation node of the first measurement result, the first sensing node sends the beam information of the receiving beam of the second sensing node that meets the sensing conditions and communication conditions to the second sensing node, or sends the beam information to the second sensing node. The node sends the beam information of the receiving beam of the second sensing node that meets the synaesthetic joint condition; optionally, the first sensing node sends the beam information of the receiving beam of the second sensing node to the sensing function network element; if the second sensing node After determining the transmitting beam of the first sensing node that meets the communication conditions, the second sensing node sends the beam information of the transmitting beam of the first sensing node that meets the communication conditions to the first sensing node; optionally, the first sensing node sends the sensing function to the first sensing node. The network element sends beam information of the transmit beams of the first sensing nodes that meet the sensing conditions and communication conditions respectively, or sends a set of transmit beams of the first sensing nodes that meet the third condition to the sensing function network element;

3) If the sensing function network element is the calculation node of the first measurement result, the sensing function network element sends the beam information of the sending beam of the first sensing node that meets the sensing conditions and communication conditions to the first sensing node, or sends the beam information to the first sensing node. The node sends the beam information of the sending beam of the first sensing node that satisfies the synaesthetic joint condition. Optionally, the sensing function network element sends the beam information of the sending beam of the first sensing node to the second sensing node; the sensing function network element sends to the second sensing node the reception of the second sensing node that meets the sensing conditions and communication conditions respectively. The beam information of the beam, or the beam information of the receiving beam of the second sensing node that meets the synaesthesia joint condition is sent to the second sensing node; optionally, the sensing function network element sends the reception of the second sensing node to the first sensing node. Beam information for the beam.

Optionally, the above-mentioned beam information may include the resource identifier (IDentifier, ID) of the first signal, the beam identifier, the number of beams, the beam angle, the precoding vector used to form the beam, the beamforming vector used to form the beam, At least one of a precoding matrix for beam formation and a beamforming matrix for beam formation.

Optionally, in some embodiments, when the first device is a first sensing node, the method further includes any of the following:

The first device performs a first beam scanning operation on N ports, the first beam scanning operation is used to send a first signal, and N is an integer greater than 1;

The first device sends the first signal using at least one port;

wherein the first signal is used for the first measurement.

Optionally, the above-mentioned first beam scanning operation can be understood as the first sensing node performing multi-port synaesthesia joint beam scanning. In the embodiment of this application, for the above-mentioned rule 1 and rule 3, the first device performs the first beam scanning operation on N ports. For the above-mentioned rule 2, the first device uses at least one port to send the first beam scanning operation. Signal.

Optionally, in some embodiments, the first device determining the first measurement result of the first measurement includes:

The first device receives first information from a sensing function network element or a second sensing node;

The first device determines the first measurement result based on the first information.

Optionally, in some embodiments, when the first device is a second sensing node, the method further includes any of the following:

The first device performs a second beam scanning operation on M ports, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The first device receives the first signal using at least one port;

wherein the first signal is used for the first measurement.

Optionally, the above-mentioned first beam scanning operation can be understood as the first sensing node performing multi-port synaesthesia joint beam scanning. In the embodiment of this application, for the above-mentioned rule 2 and rule 3, the first device performs the first beam scanning operation on N ports. For the above-mentioned rule 1, the first device uses at least one port to send the first beam scanning operation. Signal.

Optionally, the first device determining the first measurement result of the first measurement includes:

The first device receives the second information from a sensing function network element or a first sensing node, and the first sensing node is a sending node of the first signal for the first measurement;

The first device determines the first measurement result based on the second information.

Optionally, in some embodiments, when the first device is a sensing function network element, determining the first measurement result of the first measurement by the first device includes:

The first device receives second information from a first sensing node and receives first information from a second sensing node;

The first device determines the first measurement result based on the second information and the first information;

Wherein, the first sensing node is a sending node of the first signal used for the first measurement, and the second sensing node is a receiving node of the first signal.

Optionally, the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the beamforming matrix of the N ports, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the beamforming vector of the N ports and the reception of the first signal The mapping relationship of signal IQ data, the number of scanning beams, the beam scanning time interval, and the physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of the following: Parameter configuration information of a signal, the first sensing node is used to send the precoding matrix of the at least one port of the first signal, and the first sensing node is used to send the beam of the at least one port of the first signal. A shaping matrix, and physical antenna information mapped by the at least one port used by the first sensing node to send the first signal;

Wherein, the first beam scanning operation is used to send the first signal, the second beam scanning operation is used to receive the first signal, and N and M are both integers greater than 1.

Optionally, the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : parameter configuration information of the first signal, received signal IQ data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, received signal IQ data of the first signal and the The mapping relationship between the precoding vectors of the N ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the N ports The mapping relationship between the precoding vector, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvector;

In the case where the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, The precoding matrix of the M ports, the beamforming matrix of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vector of the M ports, the received signal IQ of the first signal The mapping relationship between data and the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, the mapping relationship between the equivalent channel matrix and the M ports The mapping relationship of beamforming vectors and equivalent channel correlation matrix eigenvectors;

In the embodiment of the present application, the first information exchanged between the first sensing node, the second sensing node and the sensing function network element corresponding to the above different scanning rules is different. This is explained in detail below.

Regarding the above rule 1, the first sensing node may send the configured first signal on N ports based on beam scanning, and the second sensing node uses at least one port to receive the first signal sent by the first sensing node. The following situations exist based on different computing nodes:

1) If the second sensing node is the calculation node of the first measurement result, the first sensing node and/or the sensing function network element sends at least one of the following information to the second sensing node: the first signal parameter configuration information, the first The precoding/beamforming matrix of the N ports of a sensing node, the mapping relationship between the precoding/beamforming vectors of the N ports and the first signal received signal IQ data, the number of scanning beams, and the proceeding beams of the N ports Physical antenna information mapped during scanning;

2) If the first sensing node is the calculation node of the first measurement result, the second sensing node and/or the sensing function network element sends at least one of the following information to the first sensing node: the first signal parameter configuration information, the Mapping relationship between first signal received signal IQ data, first signal received signal IQ data and precoding/beamforming vectors of N ports, equivalent channel matrix, equivalent channel matrix and precoding/beamforming of N ports The mapping relationship of vectors and equivalent channel correlation matrix eigenvectors;

3) If the sensing function network element is the calculation node of the first measurement result, the first sensing node needs to send at least one of the following information to the sensing function network element: the first signal parameter configuration information, the N number of the first sensing node The precoding/beamforming matrix of the port, the mapping relationship between the precoding/beamforming vectors of the N ports and the IQ data of the first signal reception signal, the number of scanning beams, the beam scanning time interval, and the beam scanning of the N ports The physical antenna required for mapping information;

The second sensing node needs to send at least one of the following information to the sensing function network element: first signal parameter configuration information, first signal received signal IQ data, first signal received signal IQ data and precoding/beams of N ports The mapping relationship of the shaping vector, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding/beamforming vectors of N ports, and the equivalent channel correlation matrix eigenvector.

Regarding the above rule 2, the first sensing node may use at least one port to send the first signal, and the second sensing node receives the configured first signal on M ports based on beam scanning. The following situations exist based on different computing nodes:

1) If the second sensing node is the calculation node of the first measurement result, the first sensing node and/or the sensing function network element sends at least one of the following information to the second sensing node: the first signal parameter configuration information, the first A precoding/beamforming matrix of at least one port of a sensing node, and physical antenna information mapped during beam scanning of at least one port of a first sensing node;

2) If the first sensing node is the calculation node of the first measurement result, the second sensing node and/or the sensing function network element sends at least one of the following information to the first sensing node: the first signal parameter configuration information, the The IQ data of the first signal received signal, the precoding/beamforming matrices of the M ports of the second sensing node, the mapping relationship between the IQ data of the first signal received signal and the precoding/beamforming vectors of the M ports, and the equivalent channel The mapping relationship between the matrix, the equivalent channel matrix and the precoding/beamforming vectors of M ports, and the equivalent channel correlation matrix eigenvector;

3) If the sensing function network element is the calculation node of the first measurement result, the first sensing node sends at least one of the following information to the sensing function network element: the first signal parameter configuration information, at least one port of the first sensing node The precoding/beamforming matrix and the physical antenna information mapped during beam scanning of at least one port of the first sensing node;

The second sensing node sends at least one of the following information to the sensing function network element: first signal parameter configuration information, first signal received signal IQ data, precoding/beamforming matrices of M ports of the second sensing node, The mapping relationship between the first signal received signal IQ data and the precoding/beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding/beamforming vectors of the M ports, and the equivalent Channel correlation matrix eigenvector.

Regarding the above rule 3, the first sensing node may send the configured first signal on N ports based on beam scanning, and the second sensing node may receive the configured first signal on M ports based on beam scanning. The following situations exist based on different computing nodes:

1) If the second sensing node is the calculation node of the first measurement result, the first sensing node and/or the sensing function network element sends at least one of the following information to the second sensing node: the first signal parameter configuration information, the first The precoding/beamforming matrix of the N ports of a sensing node, the mapping relationship between the precoding/beamforming vectors of the N ports and the first signal reception signal IQ data, the number of scanning beams, and the proceeding beams of the N ports Physical antenna information mapped during scanning;

2) If the first sensing node is the calculation node of the first measurement result, the second sensing node and/or the sensing function network element sends at least one of the following information to the first sensing node: the first signal parameter configuration information, the The IQ data of the first signal received signal, the precoding/beamforming matrices of the M ports of the second sensing node, the mapping relationship between the IQ data of the first signal received signal and the precoding/beamforming vectors of the M ports, and the equivalent channel Matrix, equivalent channel matrix and M terminals The mapping relationship of the precoding/beamforming vector of the port and the equivalent channel correlation matrix eigenvector;

3) If the sensing function network element is the calculation node of the first measurement result, the first sensing node sends at least one of the following information to the sensing function network element: the first signal parameter configuration information, the N ports of the first sensing node The precoding/beamforming matrix, the mapping relationship between the precoding/beamforming vectors of the N ports and the IQ data of the first signal reception signal, the number of scanning beams, and the physical antennas mapped when performing beam scanning on the N ports information;

Optionally, in some embodiments, the sensing conditions include at least one of the following:

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first preset threshold within the first preset time period, or is higher than the first preset threshold within the first preset time period. The number of times of a preset threshold is greater than the first preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the second preset threshold within the first preset time period, or is higher than the second preset threshold within the first preset time period. The number of times at the first preset threshold is greater than the second preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the value is greater than the third preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the first measurement value is greater than the fourth preset number of times;

Wherein, the at least two beams include beams of at least two ports, and the first measurement value is a measurement value of a sensing measurement quantity corresponding to a historically determined first beam set.

In the embodiment of the present application, if the measured value of the perceptual measurement quantity is higher than the first preset threshold, it can be understood that the measured value of the perceptual measurement quantity is better than the first preset threshold, that is, the perceptual performance on the corresponding beam is better and can satisfy The need for perceptual accuracy. If the measured value of the perceptual measurement quantity is higher than the first measurement value, it can be understood that the measured value of the perceptual measurement quantity is better than the first measurement value, that is, the perceptual performance on the corresponding beam is better than the perceptual performance on the historical beam, which can further improve the perceptual accuracy. , improve perceived performance.

Optionally, in some embodiments, the communication conditions include at least one of the following:

The measurement value of at least one communication measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the third preset threshold within the second preset time period, or is higher than the third preset threshold within the second preset time period. The number of preset threshold times is greater than the fifth preset number of times;

The measurement value of at least one communication measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the fourth preset threshold within the second preset time period, or is higher than the fourth preset threshold within the second preset time period. The number of fourth preset thresholds Greater than the sixth preset number of times, the at least two beams include beams of at least two ports;

The measurement value of at least one communication measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the second measurement value within the second preset time period, or is higher than the second measurement value within the second preset time period. The number of times of the value is greater than the seventh preset number of times;

The measurement value of at least one communication measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the second measurement value within the second preset time period, or is higher than the second measurement value within the second preset time period. The number of two measurement values is greater than the eighth preset number, and the at least two beams include beams of at least two ports;

Wherein, the at least two beams include beams of at least two ports, and the second measurement value is a measurement value of a communication measurement quantity corresponding to a historically determined first beam set.

In the embodiment of the present application, if the measured value of the communication measurement quantity is higher than the first preset threshold, it can be understood that the measured value of the communication measurement quantity is better than the third preset threshold, that is, the communication performance on the corresponding beam is better and can satisfy Communication needs.

Optionally, in some embodiments, the synaesthetic association condition includes at least one of the following:

The measured value of at least one synaesthesia joint measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the fifth preset threshold within the third preset time period, or is higher than the first preset time period. The number of times at the fifth preset threshold is greater than the ninth preset number of times;

The measurement values of at least one synaesthesia joint measurement quantity calculated from at least two beams in the scanning beam set are both higher than or equal to the sixth preset threshold within the third preset time period, or within the third preset time period The number of times above the sixth preset threshold is greater than the tenth preset number;

The measurement value of at least one synaesthetic joint measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the third measurement value within the third preset time period, or is higher than the third measurement value within the third preset time period. The number of three measurement values is greater than the eleventh preset number;

The measured value of at least one synaesthesia joint measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the third measured value within the first preset time period, or within the third preset time period The number of times higher than the third measurement value is greater than the twelfth preset number of times;

Wherein, the at least two beams include beams of at least two ports, and the third measurement value is the measurement value of the synaesthesia joint measurement quantity corresponding to the historically determined first beam set.

In the embodiment of the present application, if the measured value of the synaesthetic joint measurement quantity is higher than the first preset threshold, it can be understood that the measured value of the synaesthetic joint measurement quantity is better than the fifth preset threshold, that is, communication and sensing on the corresponding beam The comprehensive performance is good and can meet the communication and perception needs.

Optionally, in some embodiments, before the first device determines the first measurement result of the first measurement, the method further includes:

When the first device receives a request for synesthesia integration, it determines the first parameter configuration information, the second parameter configuration information and the third parameter configuration information according to at least one of the target sensing capability information of the sensing node and the communication capability information of the sensing node. Three parameter configuration information, wherein the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, the second parameter configuration information is used for multi-port synaesthesia joint beam measurement, and the third parameter configuration information is used for Execution of Synesthesia Integration Industry service.

Optionally, the synaesthesia integration request includes at least one of the following information:

Perceived service quality QoS or synaesthesia integrated QoS;

perceived target type;

The physical range within which at least one sensing target is located;

Historical prior information on at least one perceptual target;

Historical prior information on at least one perceptual area;

Sense the status information of nodes;

First indication information, the first indication information is used to indicate the communication target;

Second indication information, the second indication information is used to indicate the sensing node.

In the embodiment of the present application, perception QoS or synaesthesia integrated QoS may include at least one of the following: perception/synaesthesia integration service type, perception/synaesthesia integration service priority, perception detection probability, perception false detection probability, perception Recognition accuracy requirements, perception resolution requirements, perception error requirements, perception delay budget, maximum perception range requirements, continuous perception capability requirements and perception update frequency requirements. Optionally, communication QoS may be further included, such as communication delay budget and packet error rate.

Sensing target types can include pedestrians, common vehicles such as large cars, cars, motorcycles, bicycles, etc.

The historical prior information of the perceived target may include the historical status information of the perceived target, such as position, speed, orientation, radar cross section (RCS), etc.

The historical prior information of the sensing area may include historical environment information of the sensing area, including, for example, environmental wireless channel characteristics, human flow, traffic flow, building types, building distribution density, etc.

The status information of the sensing node may include the position information of the sensing node, the orientation information of the sensing node antenna array (such as the horizontal azimuth angle and vertical pitch angle of the panel normal), the sensing node antenna array height information, and the sensing node motion status information (such as stationary , size and direction of movement speed), etc.

Optionally, the target sensing capability information includes multi-port beamforming capability information and other sensing capability information in addition to the multi-port beamforming capability information;

Wherein, the multi-port beamforming capability information includes at least one of the following: a maximum number of ports supported for sensing; a maximum number of ports supported for communication; a maximum number of ports supported for joint sensing and communication; each The type of beamforming that the port can support; the quantization accuracy of the amplitude adjustment of the beamforming of each port; the quantization accuracy of the phase adjustment of the beamforming of each port; the physical antenna information mapped to each port; the precoding weight switching of each port The minimum and/or average delay; the minimum and/or average delay for beamforming weight switching on each port; the minimum and/or average delay for each port precoding to take effect; the minimum and/or average delay for each port beamforming to take effect; When at least one port uses analog beamforming, the corresponding 3dB beam width of the port; when at least one port uses analog beamforming, the minimum beam scanning angle interval of the port; when at least one port uses analog beamforming In this case, the maximum number of beams on the port; in the case where at least one port uses analog beamforming, the port beam scans the maximum angular range.

In the embodiment of this application, when a sensing node is not a computing node, the sensing node needs to perform target sensing capabilities. reporting of capability information and communication capability information.

For example, in some embodiments, when the first device is a first sensing node, the method further includes:

The first device receives at least one of the target sensing capability information of the second sensing node and the communication capability information of the second sensing node from the second sensing node;

Wherein, the first sensing node is a sending node of the first signal used for the multi-port synaesthesia joint beam measurement, and the second sensing node is a receiving node of the first signal.

For example, in some embodiments, when the first device is a second sensing node, the method further includes:

The first device receives at least one of target sensing capability information of the first sensing node and communication capability information of the first sensing node from a first sensing node.

For example, in some embodiments, when the first device is a sensing function network element, the method further includes:

The first device receives the target sensing capability information of the first sensing node from the first sensing node, and receives the target sensing capability information of the second sensing node and the communication capability of the second sensing node from the second sensing node. At least one of the information includes receiving at least one of the target sensing capability information of the first sensing node and the communication capability information of the first sensing node from the first sensing node.

Optionally, the above physical antenna information may include at least one of the following: total number of antenna array elements (or total number of array elements in horizontal or vertical directions), array type (line array/area array) indication, antenna element spacing (including horizontal Directional array element spacing, vertical array element spacing), array element polarization mode (vertical polarization/horizontal polarization/±45° polarization/circular polarization), antenna element 3D pattern, antenna sub-array (also called It is the total number of panels (Panel), panel array (line array/area array) indication, panel spacing (including horizontal panel spacing, vertical panel spacing), antenna array aperture, and all antenna array elements relative to a known reference point The steering vector/steering matrix, the panel array aperture, the steering vector/steering matrix of all antenna panels relative to a known reference point, the steering vector/steering matrix of all array elements in any panel relative to a known reference point.

Optionally, the above-mentioned other perceptual capability information may include at least one of the following:

The maximum bandwidth to support sensing services;

The time-frequency domain resources available for the first signal include time-frequency resource location, resource frequency-domain density, frequency-domain quantity, resource time-domain length/number, density/period, etc.;

The first signal resource of each port can be used in orthogonal methods (including Time Division Multiplexing (TDM), Frequency Division Multiplexing (FDM), Doppler Frequency Division Multiplexing (DDM), Code Division Multiplexing (CDM), or a combination of at least 2 of the above multiplexing schemes).

Optionally, the reporting of the target sensing capability information and communication capability information may be periodic, or may be triggered based on a synaesthesia integration request.

Optionally, the communication capability information includes at least one of the following: maximum bandwidth supporting communication services, available time-frequency domain resources for communication data signals, supported modulation types, supported coding types, and maximum data flow supported for communication transmission. and an indication of supported communications beamforming types.

Among them, the time-frequency domain resources available for communication data signals may include time-frequency resource locations, resource frequency-domain density, frequency-domain quantity, resource time-domain length/number, density/period, etc. Supported communication beamforming types may include digital beamforming and/or analog beamforming.

Optionally, the first parameter configuration information includes at least one of the following:

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle (such as azimuth angle and/or elevation angle) of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

Beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

beam scanning beamforming vectors or beam scanning beamforming matrices of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

sensing the time domain configuration information of the first signal of at least two ports of the node;

Frequency domain configuration information of the first signal of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Physical antenna indication information for at least one port of the sensing node to be used for beam scanning;

Wherein, the first signal is used for the first measurement, and the beam scanning rules include at least one of the following: only the first sensing node performs multi-port synaesthesia joint beam scanning, and only the second sensing node performs multi-port synaesthesia. Joint beam scanning and the first sensing node and the second sensing node both perform multi-port synaesthesia joint beam scanning, the first sensing node is the sending node of the first signal, and the second sensing node is the first sensing node. signal receiving node.

Optionally, the above frequency domain configuration information may include frequency domain position (including starting position) information, frequency domain density information, and frequency domain width (bandwidth) information. If it is a uniform comb distribution, it should include the starting index, interval and other information of the corresponding Resource Element (RE)/Resource Block (RB); if it is a non-uniform distribution, it should include all RE/RB index information etc.); wherein the first signal resources at different frequency domain positions correspond one-to-one to different beams during beam scanning according to predetermined rules.

Optionally, for multi-port synaesthesia joint beam scanning, on at least two ports of the first sensing node and/or the second sensing node, the beam scanning order of each port may be the same or different, and the beam scanning order of each port may be Indicated by the beam scanning rule, first signal resources at different time domain and/or frequency domain positions correspond to different beams during beam scanning in a one-to-one manner according to predetermined rules.

Optionally, the orthogonal mode configuration information may include an orthogonal mode indication (orthogonal mode includes TDM, FDM, DDM, CDM, and a combination of at least two of the above multiplexing schemes (such as TDM+FDM, etc.)), and each port Parameter configuration information related to the first signals that are orthogonal to each other, such as the time-frequency pattern of the first signal at each port, orthogonal coding type (orthogonal coding can be a Walsh code, Hadamard code, Barker code, etc.), DDM initial phase and phase Modulation slope, etc.

Optionally, the above physical antenna indication information includes at least one of the following: antenna element ID, panel ID, position information of the antenna element relative to a local reference point on the antenna array (can be expressed in Cartesian coordinates (x, y, z ) or spherical coordinates Represented), the position information of the panel relative to a local reference point on the antenna array (can use Cartesian coordinates (x, y, z) or spherical coordinates represents), the bitmap information of the antenna array element (for example: the bitmap uses "1" to indicate that the array element is selected for transmitting and/or receiving the first signal, and uses "0" to indicate that the array element is not selected (also Can be reversed)), panel's bitmap information.

It should be noted that the above-mentioned multi-port synaesthesia joint beam scanning can be implemented through digital beamforming or analog beamforming; each port beam scans the forming/precoding matrix, or the forming/precoding codebook index , the corresponding scanning beam may be spatially discontinuous.

Optionally, the second parameter configuration information includes at least one of the following:

The sensing measurement quantity of at least one port used for beam measurement;

Communication measurement volume of at least one port used for beam measurement;

A synaesthetic joint measurement quantity for at least one port of the beam measurement;

Port identification of at least two ports used for beam measurements;

Time domain configuration information of the first signal of at least two ports used for beam measurement;

Frequency domain configuration information of the first signal of at least two ports used for beam measurement;

Physical antenna information for at least two ports used for beam measurements;

In the case where the first signal is sent through at least two ports, orthogonal configuration information of the first signal at each port;

Third indication information, the third indication information is used to indicate at least one of the perception conditions, communication conditions and synaesthesia joint conditions;

Fourth indication information, the fourth indication information is used to indicate the judgment condition for the failure of the synaesthesia joint beam corresponding to the target beam set, the target beam set includes the first beam set, the second beam set and a third beam set. At least one of the beam sets, the third beam set includes at least one beam that satisfies the communication condition.

It should be understood that the above-mentioned sensory measurement quantity, communication measurement quantity and synaesthesia joint measurement quantity can be obtained from one port, or can be comprehensively calculated based on at least two ports. Among them, comprehensive calculation means obtaining one measured value, not obtaining two measured values separately.

The above-mentioned third indication information may include the judgment information of the above-mentioned sensing conditions, for example, may include threshold information of at least one sensing measurement quantity used to determine the optimal sensing beam. It may also include judgment information on the above-mentioned communication conditions, for example, it may include threshold information on at least one communication measurement quantity used to determine the optimal communication beam. It may also include the judgment information of the above-mentioned synaesthesia joint conditions, for example, it may include threshold information of at least one sensory measurement quantity and threshold information of at least one communication measurement quantity used to determine the optimal synaesthesia joint beam, or be used to determine the optimal communication measurement quantity. Threshold information of at least one synaesthetic joint measurement quantity of the sensory joint beam.

The above-mentioned fourth indication information may include judgment information for judging that the sensing beam fails. For example, it may include at least one sensing measurement quantity threshold information for judging that the sensing beam fails. It may also include judgment information for judging the failure of the communication beam, for example, it may include at least one communication measurement threshold information for judging the failure of the communication beam. can also include The judgment information for judging the failure of the synaesthetic joint beam may include, for example, at least one sensory measurement threshold information and at least one communication measurement threshold information for judging the failure of the synaesthetic joint beam, or at least one threshold information for judging the failure of the synaesthetic joint beam. Synaesthetic joint measurement threshold information.

Optionally, the perceptual measurement quantity includes at least one of the following:

The received strength (amplitude or power) or received signal strength indicator (Received Signal Strength Indicator, RSSI) of the sensing target or sensing area reflection signal of at least two ports;

An indication of the reception quality of signals reflected from the sensing target or sensing area on at least two ports;

The received signal-to-noise ratio SNR or the signal-to-noise and interference ratio (SINR) of the reflected signal from the sensing target or sensing area of at least two ports;

The received signal digital inphase and quadrature (IQ) data of the first signal of at least two ports;

Equivalent channel matrices for at least two ports;

Channel parameters obtained based on equivalent channel matrices of at least two ports;

Equivalent channel correlation matrices for at least two ports;

Channel parameters calculated based on equivalent channel correlation matrices of at least two ports;

Parameter estimation results calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal;

A radar spectrum calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal.

Optionally, the above equivalent matrix can be understood as an equivalent channel matrix formed by splicing the ports of the sensing nodes after performing at least one precoding/beamforming. This matrix contains the impact of at least one precoding/beamforming. . The above equivalent channel correlation matrix can be understood as the correlation matrix of the antenna port domain of the equivalent channel matrix.

Optionally, based on the equivalent channel matrices of at least two ports, the obtained channel parameters may include at least one of the following: coherence time, coherence bandwidth, Doppler spread, delay spread, path loss, etc.

Optionally, based on the equivalent channel correlation matrices of at least two ports, the calculated channel parameters may include at least one of the following: the equivalent channel matrix or the rank of the correlation matrix, the singular value of the equivalent channel matrix/the eigenvalue of the correlation matrix , correlation matrix eigenvector, equivalent channel matrix condition number, equivalent channel matrix singular value/correlation matrix eigenvalue expansion.

Optionally, the above parameter estimation results include the presence, quantity, speed, distance, angle, position coordinates of the perceived target, the amplitude and/or phase of the perceived target reflected signal, the Doppler frequency of the perceived target reflected signal, the perceived target RCS, the perceived target At least one measurement of the target quantity, or the mean and standard deviation/variance of multiple measurements.

Optionally, the radar spectrum includes a time delay spectrum, a Doppler spectrum, an angle spectrum, and a combined spectrum of any two or three of the above spectrums, such as a time delay-Doppler spectrum, an angle-Doppler spectrum, etc.

Optionally, the measurement quantities required for multi-port synaesthesia joint beam measurement may include current sensing service sensing/synaesthesia integrated measurement quantities, or may be a subset of the current sensing service sensing/synaesthesia integrated measurement quantities.

Optionally, in some embodiments, the above-mentioned second parameter configuration information may also include multi-port sensing beam measurement report configuration. The multi-port sensing beam measurement report configuration may include reporting principles, such as periodic reporting or event triggering principles; measurement report formats, such as reporting measurement results/maximum number of measurement types, each time Report the number of beams corresponding to the measurement results of the measurement quantity, etc.

Optionally, the multi-port sensing beam measurement report at least includes measurement results of sensing measurement quantities required for measurement.

Optionally, in some embodiments, the communication measurement quantity includes at least one of the following:

The received power of the first signal at at least two ports;

Received strength or received signal strength indication of the first signal for at least two ports;

An indication of the reception quality of the first signal at at least two ports, or the SNR or SINR of the signal reflected from the sensing target or sensing area at at least one port;

The bit error rate (Bit Error Rate, BER) or block error rate (Block Error Ratio, BLER) of the first signal of at least two ports for communication;

Use the communication Precoding Matrix Indicator (PMI) of at least two ports;

Channel Quality Indicator (CQI) of at least one port;

Use the communication channel rank indicator (Rank Indicator, RI) of at least two ports;

Spectral efficiency for communicating using the first signal of at least one port;

Transmission capacity for communication using the first signal of at least one port.

Optionally, in some embodiments, the synaesthetic joint measurement includes at least one of the following:

A measurement quantity calculated based on at least one perception measurement quantity and at least one communication measurement quantity;

Synaesthesia joint performance evaluation index.

In the embodiments of this application, the above operation method can be set according to actual needs. For example, in some embodiments, synaesthesia joint measurements can be obtained through at least one operation such as weighting, addition, subtraction, multiplication, and division. quantity.

Optionally, the above-mentioned synaesthesia joint performance evaluation index may include at least one of the following: Capacity-Distortion Tradeoff, Equivalent-Mean Square Error, Estimation-Communication Rate Rate).

Optionally, in some embodiments, the above-mentioned second parameter configuration information may also include multi-port synaesthetic joint beam measurement report configuration. The multi-port synaesthesia joint beam measurement report configuration may include reporting principles, such as periodic reporting or event triggering principles; measurement report formats, such as the maximum number of reported measurement results/measurement types, and the number of reported measurements each time. The number of beams corresponding to the measurement results, etc.

Optionally, the multi-port perception beam measurement report at least includes the measurement results of the perception measurement quantities required for the measurement, the measurement results of the communication measurement quantities, or the measurement results of the synaesthesia joint measurement quantities.

Optionally, the above-mentioned second parameter configuration information may also include measurement events and related parameters (including measurement event definitions, event-related parameters, handover decision conditions, etc.), measurement IDs (ie, measurement identifiers, each measurement ID corresponds to a group of Predefined multi-port sensing beam measurement quantities and measurement configuration information, as well as a measurement report configuration).

Optionally, when the first device is a sensing node, the method further includes:

The first device performs a synaesthesia integration service based on the first beam information.

In this embodiment of the present application, the first device can execute the synesthesia integration service based on the above third parameter configuration information, and send the sensing result to the sensing demander. It should be noted that, in addition to the optimal communication beam set, a single port Multiple other beams can be implemented through time division multiplexing or frequency division multiplexing; the parameter configuration of the second signal in the above third parameter configuration information (the second signal is used to perform the signal for synesthesia integrated services) The information may be the same as or different from the parameter configuration information of the first signal in the first parameter configuration information and the second parameter configuration information in the beam measurement process. The parameter configuration information of the first signal may include time domain configuration information, frequency domain configuration information, orthogonal mode configuration information, etc. That is, the parameter configuration information of the first signal may include at least part of the parameter configuration information in the first parameter configuration information and /or at least part of the parameter configuration information in the second parameter configuration information.

Optionally, in some embodiments, the method further includes:

The first device obtains a second measurement result by executing a synesthesia integration service based on the first beam information. The second measurement result includes at least one of the following: a measurement value of at least one perceptual measurement quantity, at least one a measurement of a communication measure and a measurement of at least one synaesthesia joint measure;

The first device performs joint synaesthesia beam detection based on the second measurement result;

The first device performs the first operation when the result of the synaesthetic joint beam detection meets the judgment condition that the synaesthetic joint beam fails;

Wherein, the first operation includes at least one of the following:

Select at least one beam among the historical scanning beams as a new sensing beam, a new communication beam, or a new synaesthetic joint beam to replace the failed beam;

In the case where there is no beam that satisfies the sensing condition and/or there is no beam that satisfies the communication condition and/or there is no beam that satisfies the synaesthesia joint condition in the historical scanning beams, re-determine the first At least one item of first parameter configuration information and second parameter configuration information;

Re-select ports, or re-map ports to physical antennas or sub-arrays and re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Wherein, the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration information is used for multi-port synaesthesia joint beam measurement.

In the embodiment of this application, due to the sensing target/area status, or the environment in which the sensing service is located changes, or there is an obstruction between the first sensing node and the second sensing node, or the position of any of the above nodes changes, the beam may fail, and it is necessary to Perform synaesthetic joint beam recovery to re-determine at least one of the best sensing beam set, the best communication beam set, and the best synaesthetic joint beam set.

Optionally, the first sensing node or sensing function network element selects at least one of the best sensing beam set, the best communication beam set, and the best synaesthetic joint beam set based on the pre-allocated second signal resources. Perform periodic, or event-triggered synaesthesia joint beam detection.

Optionally, if the best sensing beam set and the best communication beam set do not intersect, the beams used for beam detection are one or more beams of at least one port in the best sensing beam set, and at least one of the best communication beam pairs beam; otherwise, at least one beam of the optimal synaesthetic joint beam set may be used.

Optionally, the first sensing node or sensing function network element may perform synaesthesia integration based on at least one sensing measurement quantity and at least one communication measurement quantity of the synaesthesia integration service, or based on at least one synaesthesia joint measurement quantity. Beam detection.

It should be understood that since at least one of the first parameter configuration information and the second parameter configuration information is re-determined, it is necessary to re-perform sensing beam scanning based on the re-determined first parameter configuration information and the second parameter configuration information to re-determine the third parameter configuration information. A collection of beams.

Optionally, the judgment conditions for failure of the synaesthetic joint beam include at least one of the following:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the seventh preset threshold within the fourth preset time period, or is lower than the seventh preset threshold within the fourth preset time period. The number of times is greater than the thirteenth preset number;

The measured value of at least one synaesthetic joint measurement quantity in the second beam set is lower than the eighth preset threshold within the fourth preset time period, or is lower than the eighth preset threshold within the fourth preset time period. The number of times of the threshold is greater than the fourteenth preset number of times;

The measurement value of at least one communication measurement quantity in the third beam set is lower than the ninth preset threshold within the fourth preset time period, or is lower than the ninth preset threshold within the fourth preset time period. The number of times is greater than the fifteenth preset number of times.

In order to better understand this application, some examples will be described in detail below.

In some embodiments, consider the situation where the sensing target is a passive object, such as positioning (ranging, ranging) of a vehicle in a certain area. At the same time, there are also communication services between terminals participating in sensing and the base station. As shown in Figure 3, in the synaesthesia integrated service, the terminal sends a first signal, the base station receives the first signal, and communicates while sensing the direction of the sensing target. The terminal side and base station side use 2 (A1, A2) and 6 (B1-B6) antenna ports respectively for synaesthetic joint beam scanning and measurement.

Since the sensing target (vehicle) and the terminal have different orientations relative to the base station, the optimal communication beam pair is different from the optimal sensing beam set. Specifically, for the terminal side, it is assumed that terminal port A2 uses beams D1-D4 in the beam scanning process, and port A1 uses beams D5-D8 in the beam scanning process; and on the base station side, port B3 uses beams C1-D5 in the beam scanning process. , Port B6 uses beams C6-C10 during the beam scanning process. Based on the scheme described in this application, it is determined that the best communication beams (uplink transmission) on the terminal side are beam D3 of port A2 and beam D7 of port A1, and the best communication beams (uplink reception) on the base station side are beams C3 and port B6 of port B3. Beam C8.

The optimal sensing beam set on the terminal side includes beam D2 of port A2 and beam D6 of port A1; if the transmitted signal (first signal) configured by beams D3 and D7 in the subsequent service process is a synaesthesia integrated signal, the optimal The sensing beam set also includes D3 and D7. That is, there is an intersection between the optimal sensing beam set and the optimal communication beam pair. The optimal sensing beam set on the base station side includes beams C1 and C2 of port B3, beams C6 and C7 of port B6, and other beams of ports B1, B2, B4, and B5 (for clarity, the beam IDs are not marked in Figure 3) . In the same way, if the transmitted signal (first signal) configured by beams D3 and D7 in the subsequent service process is a synaesthesia integrated signal, the optimal sensing beam set also includes C3 and C8.

Optionally, in the above embodiment, through the synaesthetic joint beam management, a maximum of 2 streams of communication transmission is achieved, and MIMO radar sensing of 2 ports on the terminal side and 6 antenna ports on the base station side is simultaneously achieved. After obtaining the angle and distance results and combining them with the base station and terminal position information, the position information of the sensing target (vehicle) can be obtained.

Referring to Figure 4, an embodiment of the present application also provides a perception processing method. As shown in Figure 4, the perception processing method includes:

Step 401: The target sensing node receives first beam information, where the first beam information includes information determined based on the first measurement. Beam information of at least some beams in a given target beam set;

Step 402: The target sensing node performs sensing service based on the first beam information;

Optionally, when the target sensing node is a second sensing node, the target beam set includes at least one of the first beam set and the second beam set, and the method further includes:

The target sensing node determines the third beam set based on the first measurement result of the first measurement;

The target sensing node sends at least part of the beam information of the third beam set to the first sensing node and/or sensing function network element.

Optionally, the first beam information satisfies at least one of the following:

Optionally, in the case where the target sensing node is the first sensing node, the method further includes any of the following:

The target sensing node performs a first beam scanning operation on N ports. The first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

The target sensing node uses at least one port to send the first signal.

Optionally, before the target sensing node receives the first beam information, the method includes:

The target sensing node sends second information to the computing node. The second information is used by the computing node to determine a first measurement result of the first measurement. The first measurement result is used to determine the first beam. At least one of the set, the second beam set and the third beam set.

Optionally, the second information satisfies at least one of the following:

Wherein, the first beam scanning operation is used to send the first signal, and N is an integer greater than 1.

Optionally, in the case where the target sensing node is a second sensing node, the method further includes any of the following:

The target sensing node performs a second beam scanning operation on M ports. The second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The target sensing node receives the first signal using at least one port.

Optionally, before the target sensing node receives the first beam information from the computing node, the method includes:

The target sensing node sends first information to the computing node, where the first information is used to determine the first measurement result.

Optionally, the first information satisfies at least one of the following:

When the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, so The precoding matrices of the M ports, the beamforming matrices of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vectors of the M ports, the received signal IQ data of the first signal The mapping relationship with the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, the equivalent channel matrix and the beams of the M ports The mapping relationship of the shaping vector and the equivalent channel correlation matrix eigenvector;

Wherein, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1.

Optionally, the method also includes:

The target sensing node sends at least one of the target sensing capability information of the target sensing node and the communication capability information of the target sensing node to the computing node, and at least one of the target sensing capability information and the communication capability information of the target sensing node One item is used to determine the first parameter configuration information, the second parameter configuration information and the third parameter configuration information, wherein the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration information is used For multi-port synaesthesia joint beam measurement, the third parameter configuration information is used to execute the synaesthesia integrated service, and the computing node is used to calculate the first measurement result of the first measurement.

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Wherein, the first signal is used for the first measurement, and the beam scanning rules include at least one of the following: only the first sensing node performs multi-port synaesthesia joint beam scanning, and only the second sensing node performs multi-port synaesthesia. joint beam scanning And both the first sensing node and the second sensing node perform multi-port synaesthesia joint beam scanning, the first sensing node is the sending node of the first signal, and the second sensing node is the receiving node of the first signal. node.

Port identification of at least two ports used for beam measurements;

Physical antenna information for at least two ports used for beam measurements;

Optionally, the method also includes:

The target sensing node obtains a second measurement result based on the first beam information by performing the synesthesia integration industry. The second measurement result includes at least one of the following: a measurement value of at least one sensory measurement quantity, at least one a measurement of a communication measure and a measurement of at least one synaesthesia joint measure;

The target sensing node performs synaesthesia joint beam detection based on the second measurement result;

The target sensing node performs the first operation when the result of synaesthetic joint beam detection satisfies the judgment condition of joint sensory beam failure;

Wherein, the first operation includes at least one of the following:

Optionally, the judgment conditions for synaesthetic joint beam failure include:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the seventh preset time period within the fourth preset time period. The preset threshold, or the number of times lower than the seventh preset threshold within the fourth preset time period is greater than the thirteenth preset number of times;

For the perception processing method provided by the embodiments of the present application, the execution subject may be a perception processing device. In the embodiment of the present application, the perception processing device executing the perception processing method is taken as an example to illustrate the perception processing device provided by the embodiment of the present application.

Referring to Figure 5, the embodiment of the present application also provides a perception processing device, which is applied to the first device. As shown in Figure 5, the perception processing device 500 includes:

The first determination module 501 is used to determine the first measurement result of the first measurement. The first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement. ; Synaesthesia joint measurement;

The second determination module 502 is configured to determine at least one of the first beam set and the second beam set based on the first measurement result. The first beam set includes at least one beam that satisfies the sensing condition. The two-beam set includes at least one beam that satisfies the synaesthetic association condition.

Optionally, the perception processing device 500 further includes a first execution module, configured to execute any of the following:

Determine a third beam set based on the first measurement result;

When the first device is a first sensing node or a sensing function network element, receive a third beam set from the second device;

Wherein, the third beam set includes at least one beam that satisfies communication conditions. When the first device is a first sensing node, the second device is a second sensing node or a sensing function network element. When the first device is a sensing function network element, the second device is the first sensing node or the second sensing node, and the first sensing node is the first sensing node used for the first measurement. The sending node of the signal, the second sensing node is the receiving node of the first signal.

Optionally, the perception processing device 500 further includes:

A first sending module configured to send first beam information to a third device, where the first beam information includes beam information of at least some beams in a target beam set, where the target beam set includes the first beam set, the at least one of the second beam set and the third beam set;

Optionally, the first beam information satisfies at least one of the following:

Optionally, when the first device is a first sensing node, the sensing processing device 500 further includes a first execution module, configured to perform any of the following:

Perform a first beam scanning operation on N ports, the first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

sending the first signal using at least one port;

wherein the first signal is used for the first measurement.

Optionally, the first determination module 501 includes:

A receiving unit, configured to receive the first information from the sensing function network element or the second sensing node;

Determining unit, configured to determine the first measurement result according to the first information.

Optionally, when the first device is a second sensing node, the sensing processing device 500 further includes a first execution module, configured to perform any of the following:

Perform a second beam scanning operation on M ports, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

using at least one port to receive the first signal;

wherein the first signal is used for the first measurement.

Optionally, the first determination module 501 includes:

A receiving unit configured to receive second information from a sensing function network element or a first sensing node, the first sensing node being the sending node of the first signal for the first measurement;

Determining unit, configured to determine the first measurement result according to the second information.

Optionally, when the first device is a sensing function network element, the first determination module 501 includes:

A receiving unit, configured to receive second information from the first sensing node and receive first information from the second sensing node;

a determining unit configured to determine the first measurement result according to the second information and the first information;

Optionally, the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information packet Including at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, precoding vectors of the N ports and reception of the first signal The mapping relationship of the signal IQ data, the mapping relationship between the beamforming vectors of the N ports and the received signal IQ data of the first signal, the number of scanning beams, the beam scanning time interval, the number of times when the N ports perform beam scanning Mapping physical antenna information;

Optionally, the first information satisfies at least one of the following:

Optionally, the sensing conditions include at least one of the following:

Optionally, the communication conditions include at least one of the following:

The measured value of at least one communication measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the fourth preset threshold within the second preset time period, or is higher than the fourth preset threshold within the second preset time period. The number of times of the fourth preset threshold is greater than the sixth preset number of times, and the at least two beams include beams of at least two ports;

Optionally, the synaesthetic combination condition includes at least one of the following:

The measured value of at least one synaesthesia joint measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the third measured value within the first preset time period, or within the third preset time period times higher than the third measured value The number is greater than the twelfth preset number of times;

Optionally, the first determination module is further configured to determine the target sensing capability information of the sensing node according to at least one of the target sensing capability information of the sensing node and the communication capability information of the sensing node when the first device receives a synesthesia integration request. The item determines first parameter configuration information, second parameter configuration information and third parameter configuration information, wherein the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration information is used for multi-port synaesthesia joint beam scanning. Synaesthesia joint beam measurement, the third parameter configuration information is used to perform synaesthesia integrated service.

Perceived quality of service (Quality of Service, QoS) or synaesthesia integrated QoS;

perceived target type;

The physical range within which at least one sensing target is located;

Historical prior information on at least one perceptual target;

Historical prior information on at least one perceptual area;

Sense the status information of nodes;

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Port identification of at least two ports used for beam measurements;

Physical antenna information for at least two ports used for beam measurements;

Received strength or received signal strength indication of reflected signals from sensing targets or sensing areas on at least two ports;

The received signal-to-noise ratio SNR or the signal-to-interference-plus-noise ratio SINR of the reflected signal from the sensing target or sensing area of at least two ports;

Received signal digital inline and quadrature IQ data for the first signal of at least two ports;

Equivalent channel matrices for at least two ports;

Equivalent channel correlation matrices for at least two ports;

Optionally, the communication measurement quantity includes at least one of the following:

The received power of the first signal at at least two ports;

The bit error rate BER or the block error rate BLER for communication of the first signal of at least two ports;

Communication precoding matrix indication using at least two ports;

Channel quality indication for at least one port;

Use communication channel rank indications for at least two ports;

Optionally, the synaesthesia joint measurement quantity includes at least one of the following:

Synaesthesia joint performance evaluation index.

Optionally, when the first device is a first sensing node, the sensing processing device 500 further includes:

A first receiving module configured to receive at least one of the target sensing capability information of the second sensing node and the communication capability information of the second sensing node from the second sensing node;

Optionally, when the first device is a sensing node, the sensing processing device 500 further includes:

A first execution module, configured to execute synesthesia integration services based on the first beam information.

Optionally, the perception processing device 500 further includes:

A first acquisition module, configured to acquire a second measurement result by performing a synesthesia integration service based on the first beam information. The second measurement result includes at least one of the following: a measurement value of at least one perceptual measurement quantity, at least One measurement of communication and at least one measurement of synaesthesia;

A first detection module, configured to perform synaesthesia joint beam detection based on the second measurement result;

The first execution module is configured to perform the first operation when the result of the synaesthetic joint beam detection meets the judgment condition that the synaesthetic joint beam fails;

Wherein, the first operation includes at least one of the following:

Referring to Figure 6, the embodiment of the present application also provides a perception processing device, which is applied to the first device. As shown in Figure 6, the perception processing device 600 includes:

The second receiving module 601 is configured to receive first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement;

The second execution module 602 is configured to execute sensing services based on the first beam information;

Optionally, when the target sensing node is a second sensing node, the target beam set includes at least one of the first beam set and the second beam set, and the perception processing device 600 Also includes:

A third determination module configured to determine the third beam set based on the first measurement result of the first measurement;

The second sending module is configured to send at least part of the beam information of the third beam set to the first sensing node and/or sensing function network element.

Optionally, the first beam information satisfies at least one of the following:

Optionally, in the case where the target sensing node is the first sensing node, the second execution module 602 is also configured to perform any of the following:

The first signal is sent using at least one port.

Optionally, the perception processing device 600 further includes:

The second sending module is configured to send second information to the computing node. The second information is used by the computing node to determine the first measurement result of the first measurement. The first measurement result is used to determine the first measurement result. At least one of a beam set, the second beam set and the third beam set.

Optionally, the second information satisfies at least one of the following:

Optionally, when the target sensing node is a second sensing node, the second execution module 602 is also configured to perform any of the following:

The first signal is received using at least one port.

Optionally, the perception processing device 600 further includes:

The second sending module is configured to send first information to the computing node, where the first information is used to determine the first measurement result.

Optionally, the first information satisfies at least one of the following:

Optionally, the perception processing device 600 further includes:

The second sending module is configured to send at least one of the target sensing capability information of the target sensing node and the communication capability information of the target sensing node to the computing node. At least one of is used to determine the first parameter configuration information, the second parameter configuration information and the third parameter configuration information, wherein the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration The information is used for multi-port synaesthesia joint beam measurement, the third parameter configuration information is used to perform synaesthesia integrated services, and the computing node is used to calculate the first measurement result of the first measurement.

Wherein, the multi-port beamforming capability information includes at least one of the following: a maximum number of ports supported for sensing; a maximum number of ports supported for communication; a maximum number of ports supported for joint sensing and communication; each The type of beamforming that the port can support; the quantization accuracy of the amplitude adjustment of the beamforming of each port; the quantization accuracy of the phase adjustment of the beamforming of each port; the physical antenna information mapped to each port; the precoding weight switching of each port minimum and/or average Delay; minimum and/or average delay for beamforming weight switching on each port; minimum and/or average delay for precoding to take effect on each port; minimum and/or average delay for beamforming to take effect on each port; used on at least one port In the case of analog beamforming, the 3dB beam width corresponding to the port; in the case of at least one port using analog beamforming, the minimum beam scanning angle interval of the port; in the case of at least one port using analog beamforming, the maximum port Number of beams; when at least one port uses analog beamforming, the port beam scans the maximum angular range.

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Port identification of at least two ports used for beam measurements;

Physical antenna information for at least two ports used for beam measurements;

Optionally, the perception processing device 600 further includes:

A second acquisition module, configured to acquire a second measurement result based on the first beam information by performing synesthesia integration. The second measurement result includes at least one of the following: a measurement value of at least one perceptual measurement quantity, at least One measurement of communication and at least one measurement of synaesthesia;

a second detection module, configured to perform joint synaesthesia beam detection based on the second measurement result;

The second execution module 602 is also configured to perform the first operation when the result of the synaesthetic joint beam detection meets the judgment condition that the synaesthetic joint beam fails;

Wherein, the first operation includes at least one of the following:

The perception processing device in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or may be a component in the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, terminals may include but are not limited to the types of terminals 11 listed above, and other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., which are not specifically limited in the embodiment of this application.

The perception processing device provided by the embodiments of the present application can implement each process implemented by the method embodiments of Figures 2 to 4, and achieve the same technical effect. To avoid duplication, the details will not be described here.

Optionally, as shown in Figure 7, this embodiment of the present application also provides a communication device 700, including a processor 701 and a memory. The memory 702 stores programs or instructions that can be run on the processor 701. When the program or instructions are executed by the processor 701, each step of the above-mentioned perception processing method embodiment is implemented, and the same technology can be achieved. The effect will not be described here to avoid repetition.

An embodiment of the present application also provides a terminal, including a processor and a communication interface. When the terminal is a first device, the processor is configured to determine a first measurement result of a first measurement, and the first measurement is Based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement; first beam set and second beam set determined based on the first measurement result At least one of, the first beam set includes at least one beam that satisfies the perception condition, and the second beam set includes at least one beam that satisfies the synaesthesia association condition.

This terminal embodiment corresponds to the above-mentioned terminal-side method embodiment. Each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this terminal embodiment, and can achieve the same technical effect. Specifically, FIG. 8 is a schematic diagram of the hardware structure of a terminal that implements an embodiment of the present application.

The terminal 800 includes but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809, a processor 810, etc. At least some parts.

Those skilled in the art can understand that the terminal 800 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 810 through a power management system, thereby managing charging, discharging, and power consumption through the power management system. Management and other functions. The terminal structure shown in FIG. 8 does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or some components may be combined or arranged differently, which will not be described again here.

It should be understood that in the embodiment of the present application, the input unit 804 may include a graphics processing unit (GPU) 8041 and a microphone 8042. The graphics processor 8041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 806 may include a display panel 8061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 807 includes a touch panel 8071 and at least one of other input devices 8072 . Touch panel 8071, also known as touch screen. Touch panel 8071 may include a touch detection device and a touch controller Two parts. Other input devices 8072 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 described again here.

In this embodiment of the present application, after receiving downlink data from the network side device, the radio frequency unit 801 can transmit it to the processor 810 for processing; in addition, the radio frequency unit 801 can send uplink data to the network side device. Generally, the radio frequency unit 801 includes, but is not limited to, an antenna, amplifier, transceiver, coupler, low noise amplifier, duplexer, etc.

Memory 809 may be used to store software programs or instructions as well as various data. The memory 809 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 809 may include volatile memory or non-volatile memory, or memory 809 may include both volatile and non-volatile memory. Among them, non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 809 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 810 may include one or more processing units; optionally, the processor 810 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 810.

Wherein, when the terminal is a first device, the processor 810 is configured to determine a first measurement result of a first measurement, the first measurement is based on multi-port synaesthetic joint beam measurement, and the third A measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement; at least one of the first beam set and the second beam set determined based on the first measurement result, the first beam set includes At least one beam that satisfies the sensing condition, and the second beam set includes at least one beam that satisfies the synaesthesia association condition.

Or, when the terminal is a sensing node, the radio frequency unit 801 is configured to receive first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement; The processor 810 is configured to perform sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal for the first measurement, and the second sensing node is a sending node of the first signal. The receiving node; the target beam set includes at least one of the first beam set, the second beam set and the third beam set, the first beam set includes at least one beam that satisfies the sensing condition, and the third beam set includes The two-beam set includes satisfying synaesthesia joint conditions at least one beam, the third beam set includes at least one beam that meets communication conditions; the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and Perceptual measurement; synaesthetic joint measurement.

The embodiment of the present application determines the first measurement result of the first measurement, the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia Joint measurement; at least one of the first beam set and the second beam set determined by the first device based on the first measurement result, the first beam set includes at least one beam that satisfies the sensing condition, and the third The two-beam set includes at least one beam that satisfies the synaesthetic association condition. Since the first measurement is performed on multiple ports, the number of ports for beam management is increased, thus fully utilizing the array aperture to achieve high-precision/super-resolution sensing. Therefore, the embodiments of the present application improve the accuracy of sensing, improve the sensing SNR, and overcome the problem of limited high-frequency sensing coverage.

An embodiment of the present application also provides a network side device, including a processor and a communication interface. When the network side device is a first device, the processor is used to determine the first measurement result of the first measurement, and the The first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement; a first beam set determined based on the first measurement result and At least one item in a second beam set, the first beam set includes at least one beam that satisfies the perception condition, and the second beam set includes at least one beam that satisfies the synaesthesia association condition.

This network-side device embodiment corresponds to the above-mentioned network-side device method embodiment. Each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this network-side device embodiment, and can achieve the same technical effect.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 9, the network side device 900 includes: an antenna 901, a radio frequency device 902, a baseband device 903, a processor 904 and a memory 905. Antenna 901 is connected to radio frequency device 902. In the uplink direction, the radio frequency device 902 receives information through the antenna 901 and sends the received information to the baseband device 903 for processing. In the downlink direction, the baseband device 903 processes the information to be sent and sends it to the radio frequency device 902. The radio frequency device 902 processes the received information and then sends it out through the antenna 901.

The method performed by the network side device in the above embodiment can be implemented in the baseband device 903, which includes a baseband processor.

The baseband device 903 may include, for example, at least one baseband board on which multiple chips are disposed, as shown in FIG. 9 . One of the chips is, for example, a baseband processor, which is connected to the memory 905 through a bus interface to call the Program to perform the network device operations shown in the above method embodiments.

The network side device may also include a network interface 906, which is, for example, a common public radio interface (CPRI).

Specifically, the network side device 900 in the embodiment of the present application also includes: instructions or programs stored in the memory 905 and executable on the processor 904. The processor 904 calls the instructions or programs in the memory 905 to execute Figure 5 or Figure 6 The execution methods of each module are shown and achieve the same technical effect. To avoid repetition, they will not be described in detail here.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 10, the network side device 1000 includes: a processor 1001, a network interface 1002, and a memory 1003. Among them, the network interface 1002 is, for example, a common public radio interface (CPRI).

Specifically, the network side device 1000 in the embodiment of the present application also includes: instructions or programs stored in the memory 1003 and executable on the processor 1001. The processor 1001 calls the instructions or programs in the memory 1003 to execute Figure 5 or Figure 6 The execution methods of each module are shown and achieve the same technical effect. To avoid repetition, they will not be described in detail here.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above embodiments of the perception processing method is implemented and the same can be achieved. The technical effects will not be repeated here to avoid repetition.

Wherein, the processor is the processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above embodiments of the perception processing method. Each process can achieve the same technical effect. To avoid duplication, it will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-chip or system-on-chip, etc.

Embodiments of the present application further provide a computer program/program product. The computer program/program product is stored in a storage medium. The computer program/program product is executed by at least one processor to implement the above embodiments of the perception processing method. Each process can achieve the same technical effect. To avoid repetition, we will not go into details here.

Embodiments of the present application also provide a communication system, including: a terminal and a network-side device. The terminal is used to perform various processes of the terminal-side method embodiments in Figures 2 to 4. The network-side device is used to Each process of each method embodiment on the network side device side shown in Figures 2 to 4 is executed, and the same technical effect can be achieved. To avoid duplication, the details will not be described here.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, and also includes other elements not expressly listed or included for such process, method, article or apparatus. inherent elements. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to related technologies. The computer software product is stored in a storage medium (such as ROM/RAM, disk, CD), including several instructions to cause a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims

A method of perceptual processing that includes:

The first device determines a first measurement result of a first measurement, the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement ;

At least one of a first beam set and a second beam set determined by the first device based on the first measurement result, the first beam set including at least one beam that satisfies the sensing condition, and the second beam set Includes at least one beam that satisfies the synaesthetic association condition.
The method of claim 1, wherein the method further includes any of the following:

The first device determines a third beam set based on the first measurement result;

When the first device is a first sensing node or a sensing function network element, the first device receives a third beam set from the second device;

Wherein, the third beam set includes at least one beam that satisfies communication conditions, and when the first device is a first sensing node, the second device is a second sensing node or a sensing function network element; When the first device is a sensing function network element, the second device is the first sensing node or the second sensing node; the first sensing node is the first sensing node used for the first measurement. The sending node of the signal, the second sensing node is the receiving node of the first signal.
The method of claim 2, further comprising:

The first device sends first beam information to the third device, where the first beam information includes beam information of at least some beams in a target beam set, and the target beam set includes the first beam set, the second beam set, and the first beam information. At least one of a beam set and the third beam set;

Wherein, the first device is one of the first sensing node, the second sensing node and the sensing function network element, and the third device includes the first sensing node, the second sensing node and the sensing function network element. At least one device other than the first device.
The method according to claim 3, wherein the first beam information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first beam information includes the target beam set Beam information of the transmission beam of the first sensing node;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes the information in the target beam set. Beam information of the receiving beam of the second sensing node;

In the case where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, the first beam information includes the target beam set The beam information of the transmitting beam of the first sensing node in the target beam set, and/or the beam information of the receiving beam of the second sensing node in the target beam set;

Wherein, the first beam scanning operation is used to send a first signal, the second beam scanning operation is used to receive a first signal, and N and M are both integers greater than 1.
The method according to claim 1, wherein when the first device is a first sensing node, the method further includes any of the following:

The first device performs a first beam scanning operation on N ports, the first beam scanning operation is used to send a first signal, and N is an integer greater than 1;

The first device sends the first signal using at least one port;

wherein the first signal is used for the first measurement.
The method of claim 5, wherein the first device determining the first measurement result of the first measurement includes:

The first device receives first information from a sensing function network element or a second sensing node;

The first device determines the first measurement result based on the first information.
The method according to claim 1, wherein when the first device is a second sensing node, the method further includes any of the following:

The first device performs a second beam scanning operation on M ports, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The first device receives the first signal using at least one port;

wherein the first signal is used for the first measurement.
The method of claim 7, wherein the first device determining the first measurement result of the first measurement includes:

The first device receives the second information from a sensing function network element or a first sensing node, and the first sensing node is a sending node of the first signal for the first measurement;

The first device determines the first measurement result based on the second information.
The method according to claim 1, wherein when the first device is a sensing function network element, determining the first measurement result of the first measurement by the first device includes:

The first device receives second information from a first sensing node and receives first information from a second sensing node;

The first device determines the first measurement result based on the second information and the first information;

Wherein, the first sensing node is a sending node of the first signal used for the first measurement, and the second sensing node is a receiving node of the first signal.
The method according to claim 8 or 9, wherein the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the beamforming matrix of the N ports, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the beamforming vector of the N ports and the reception of the first signal The mapping relationship of signal IQ data, the number of scanning beams, the beam scanning time interval, and the physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of the following: Parameter configuration information of a signal, the first sensing node is used to send the precoding matrix of the at least one port of the first signal, and the first sensing node is used to send the beam of the at least one port of the first signal. A shaping matrix, and physical antenna information mapped by the at least one port used by the first sensing node to send the first signal;

Wherein, the first beam scanning operation is used to send the first signal, the second beam scanning operation is used to receive the first signal, and N and M are both integers greater than 1.
The method according to claim 6 or 9, wherein the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : parameter configuration information of the first signal, received signal IQ data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, received signal IQ data of the first signal and the The mapping relationship between the precoding vectors of the N ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the N ports The mapping relationship between the precoding vector, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvector;

In the case where the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, The precoding matrix of the M ports, the beamforming matrix of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vector of the M ports, the received signal IQ of the first signal The mapping relationship between data and the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, the mapping relationship between the equivalent channel matrix and the M ports The mapping relationship of beamforming vectors and equivalent channel correlation matrix eigenvectors;

Wherein, the first beam scanning operation is used to send the first signal, the second beam scanning operation is used to receive the first signal, and N and M are both integers greater than 1.
The method according to claim 1, wherein the sensing condition includes at least one of the following:

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first preset threshold within the first preset time period, or is higher than the first preset threshold within the first preset time period. The number of times of a preset threshold is greater than the first preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the second preset threshold within the first preset time period, or is higher than the second preset threshold within the first preset time period. The number of times at the first preset threshold is greater than the second preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the first measurement value within the first preset time period, or is higher than the first measurement value within the first preset time period. The number of times of the value is greater than the third preset number of times;

The measurement value of at least one perceptual measurement quantity calculated from at least two beams in the scanning beam set is calculated in the first preset Assume that the time period is higher than or equal to the first measurement value, or the number of times it is higher than the first measurement value within the first preset time period is greater than the fourth preset number of times;

Wherein, the at least two beams include beams of at least two ports, and the first measurement value is a measurement value of a sensing measurement quantity corresponding to a historically determined first beam set.
The method of claim 2, wherein the communication conditions include at least one of the following:

The measurement value of at least one communication measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the third preset threshold within the second preset time period, or is higher than the third preset threshold within the second preset time period. The number of preset threshold times is greater than the fifth preset number of times;

The measured value of at least one communication measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the fourth preset threshold within the second preset time period, or is higher than the fourth preset threshold within the second preset time period. The number of times of the fourth preset threshold is greater than the sixth preset number of times, and the at least two beams include beams of at least two ports;

The measurement value of at least one communication measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the second measurement value within the second preset time period, or is higher than the second measurement value within the second preset time period. The number of times of the value is greater than the seventh preset number of times;

The measurement value of at least one communication measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the second measurement value within the second preset time period, or is higher than the second measurement value within the second preset time period. The number of two measurement values is greater than the eighth preset number, and the at least two beams include beams of at least two ports;

Wherein, the at least two beams include beams of at least two ports, and the second measurement value is a measurement value of a communication measurement quantity corresponding to a historically determined first beam set.
The method of claim 1, wherein the synaesthetic association condition includes at least one of the following:

The measured value of at least one synaesthesia joint measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the fifth preset threshold within the third preset time period, or is higher than the first preset time period. The number of times at the fifth preset threshold is greater than the ninth preset number of times;

The measurement values of at least one synaesthesia joint measurement quantity calculated from at least two beams in the scanning beam set are both higher than or equal to the sixth preset threshold within the third preset time period, or within the third preset time period The number of times above the sixth preset threshold is greater than the tenth preset number;

The measurement value of at least one synaesthetic joint measurement quantity calculated from a single beam in the scanning beam set is higher than or equal to the third measurement value within the third preset time period, or is higher than the third measurement value within the third preset time period. The number of three measurement values is greater than the eleventh preset number;

The measured value of at least one synaesthesia joint measurement quantity calculated from at least two beams in the scanning beam set is higher than or equal to the third measured value within the first preset time period, or within the third preset time period The number of times higher than the third measurement value is greater than the twelfth preset number of times;

Wherein, the at least two beams include beams of at least two ports, and the third measurement value is the measurement value of the synaesthesia joint measurement quantity corresponding to the historically determined first beam set.
A method according to any one of claims 1 to 14, wherein said first device determines a first measured Before the first measurement result, the method further includes:

When the first device receives a request for synesthesia integration, it determines the first parameter configuration information, the second parameter configuration information and the third parameter configuration information according to at least one of the target sensing capability information of the sensing node and the communication capability information of the sensing node. Three parameter configuration information, wherein the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, the second parameter configuration information is used for multi-port synaesthesia joint beam measurement, and the third parameter configuration information is used for Execute synesthesia integration business.
The method according to claim 15, wherein the synaesthesia integration request includes at least one of the following information:

Perceived service quality QoS or synaesthesia integrated QoS;

perceived target type;

The physical range within which at least one sensing target is located;

Historical prior information on at least one perceptual target;

Historical prior information on at least one perceptual area;

Sense the status information of nodes;

First indication information, the first indication information is used to indicate the communication target;

Second indication information, the second indication information is used to indicate the sensing node.
The method according to claim 15, wherein the target sensing capability information includes multi-port beamforming capability information and other sensing capability information except the multi-port beamforming capability information;

Wherein, the multi-port beamforming capability information includes at least one of the following: a maximum number of ports supported for sensing; a maximum number of ports supported for communication; a maximum number of ports supported for joint sensing and communication; each The type of beamforming that the port can support; the quantization accuracy of the amplitude adjustment of the beamforming of each port; the quantization accuracy of the phase adjustment of the beamforming of each port; the physical antenna information mapped to each port; the precoding weight switching of each port The minimum and/or average delay; the minimum and/or average delay for beamforming weight switching on each port; the minimum and/or average delay for each port precoding to take effect; the minimum and/or average delay for each port beamforming to take effect; When at least one port uses analog beamforming, the corresponding 3dB beam width of the port; when at least one port uses analog beamforming, the minimum beam scanning angle interval of the port; when at least one port uses analog beamforming In this case, the maximum number of beams on the port; in the case where at least one port uses analog beamforming, the port beam scans the maximum angular range.
The method according to claim 15, wherein the communication capability information includes at least one of the following: maximum bandwidth supporting communication services, time-frequency domain resources available for communication data signals, supported modulation types, supported coding types, supported Indication of maximum data traffic for communication transmission and supported communication beamforming type.
The method according to claim 15, wherein the first parameter configuration information includes at least one of the following:

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

Beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

beam scanning beamforming vectors or beam scanning beamforming matrices of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

sensing the time domain configuration information of the first signal of at least two ports of the node;

Frequency domain configuration information of the first signal of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Physical antenna indication information for at least one port of the sensing node to be used for beam scanning;

Wherein, the first signal is used for the first measurement, and the beam scanning rules include at least one of the following: only the first sensing node performs multi-port synaesthesia joint beam scanning, and only the second sensing node performs multi-port synaesthesia. Joint beam scanning and the first sensing node and the second sensing node both perform multi-port synaesthesia joint beam scanning, the first sensing node is the sending node of the first signal, and the second sensing node is the first sensing node. signal receiving node.
The method according to claim 15, wherein the second parameter configuration information includes at least one of the following:

The sensing measurement quantity of at least one port used for beam measurement;

Communication measurement volume of at least one port used for beam measurement;

A synaesthetic joint measurement quantity for at least one port of the beam measurement;

Port identification of at least two ports used for beam measurements;

Time domain configuration information of the first signal of at least two ports used for beam measurement;

Frequency domain configuration information of the first signal of at least two ports used for beam measurement;

Physical antenna information for at least two ports used for beam measurements;

In the case where the first signal is sent through at least two ports, orthogonal configuration information of the first signal at each port;

Third indication information, the third indication information is used to indicate at least one of the perception conditions, communication conditions and synaesthesia joint conditions;

Fourth indication information, the fourth indication information is used to indicate the judgment condition for the failure of the synaesthesia joint beam corresponding to the target beam set, the target beam set includes the first beam set, the second beam set and a third beam set. At least one of the beam sets, the third beam set includes at least one beam that satisfies the communication condition.
The method of claim 20, wherein the perceptual measurement quantity includes at least one of the following:

Received strength or received signal strength indication of reflected signals from sensing targets or sensing areas on at least two ports;

An indication of the reception quality of signals reflected from the sensing target or sensing area on at least two ports;

The received signal-to-noise ratio SNR or the signal-to-interference-plus-noise ratio SINR of the reflected signal from the sensing target or sensing area of at least two ports;

Received signal digital inline and quadrature IQ data for the first signal of at least two ports;

Equivalent channel matrices for at least two ports;

Channel parameters obtained based on equivalent channel matrices of at least two ports;

Equivalent channel correlation matrices for at least two ports;

Channel parameters calculated based on equivalent channel correlation matrices of at least two ports;

Parameter estimation results calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal;

A radar spectrum calculated based on an equivalent channel matrix of at least two ports or a matrix of the received first signal.
The method according to claim 20, wherein the communication measurement quantity includes at least one of the following:

The received power of the first signal at at least two ports;

Received strength or received signal strength indication of the first signal for at least two ports;

An indication of the reception quality of the first signal at at least two ports, or the SNR or SINR of the signal reflected from the sensing target or sensing area at at least one port;

The bit error rate BER or the block error rate BLER for communication of the first signal of at least two ports;

Communication precoding matrix indication using at least two ports;

Channel quality indication for at least one port;

Use communication channel rank indications for at least two ports;

Spectral efficiency for communicating using the first signal of at least one port;

Transmission capacity for communication using the first signal of at least one port.
The method of claim 20, wherein the synaesthesia joint measurement includes at least one of the following:

A measurement quantity calculated based on at least one perception measurement quantity and at least one communication measurement quantity;

Synaesthesia joint performance evaluation index.
The method according to claim 15, wherein when the first device is a first sensing node, the method further includes:

The first device receives at least one of the target sensing capability information of the second sensing node and the communication capability information of the second sensing node from the second sensing node;

Wherein, the first sensing node is a sending node of the first signal used for the first measurement, and the second sensing node is a receiving node of the first signal.
The method according to claim 2, wherein when the first device is a sensing node, the method further includes:

The first device performs a synaesthesia integration service based on the first beam information.
The method of claim 2, further comprising:

The first device obtains a second measurement result by executing a synesthesia integration service based on the first beam information. The second measurement result includes at least one of the following: a measurement value of at least one perceptual measurement quantity, at least one a measurement of a communication measure and a measurement of at least one synaesthesia joint measure;

The first device performs joint synaesthesia beam detection based on the second measurement result;

The first device performs the first operation when the result of the synaesthetic joint beam detection meets the judgment condition that the synaesthetic joint beam fails;

Wherein, the first operation includes at least one of the following:

Select at least one beam among the historical scanning beams as a new sensing beam, a new communication beam, or a new synaesthetic joint beam to replace the failed beam;

In the case where there is no beam that satisfies the sensing condition and/or there is no beam that satisfies the communication condition and/or there is no beam that satisfies the synaesthesia joint condition in the historical scanning beams, re-determine the first At least one item of first parameter configuration information and second parameter configuration information;

Re-select ports, or re-map ports to physical antennas or sub-arrays and re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Wherein, the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration information is used for multi-port synaesthesia joint beam measurement.
The method according to claim 26, wherein the judgment condition for failure of the synaesthetic joint beam includes at least one of the following:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the seventh preset threshold within the fourth preset time period, or is lower than the seventh preset threshold within the fourth preset time period. The number of times is greater than the thirteenth preset number;

The measured value of at least one synaesthetic joint measurement quantity in the second beam set is lower than the eighth preset threshold within the fourth preset time period, or is lower than the eighth preset threshold within the fourth preset time period. The number of times of the threshold is greater than the fourteenth preset number of times;

The measurement value of at least one communication measurement quantity in the third beam set is lower than the ninth preset threshold within the fourth preset time period, or is lower than the ninth preset threshold within the fourth preset time period. The number of times is greater than the fifteenth preset number of times.
A method of perceptual processing that includes:

The target sensing node receives first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement;

The target sensing node performs sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal for the first measurement, and the second sensing node is a sending node of the first signal. The receiving node; the target beam set includes at least one of the first beam set, the second beam set and the third beam set, the first beam set includes at least one beam that satisfies the sensing condition, and the third beam set includes The two beam sets include at least one beam that meets synaesthesia joint conditions, the third beam set includes at least one beam that satisfies communication conditions; the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement Include at least one of the following: communication measurement and perception measurement; combined synaesthesia measurement.
The method of claim 28, wherein when the target sensing node is a second sensing node, the target beam set includes at least one of the first beam set and the second beam set. , the method also includes:

The target sensing node determines the third beam set based on the first measurement result of the first measurement;

The target sensing node sends at least part of the beam information of the third beam set to the first sensing node and/or sensing function network element.
The method according to claim 28, wherein the first beam information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first beam information includes the target beam set Beam information of the transmission beam of the first sensing node;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the first beam information includes the information in the target beam set. Beam information of the receiving beam of the second sensing node;

In the case where the first sensing node performs the first beam scanning operation on N ports, and the second sensing node performs the second beam scanning operation on M ports, the first beam information includes the target beam set The beam information of the transmitting beam of the first sensing node in the target beam set, and/or the beam information of the receiving beam of the second sensing node in the target beam set;

Wherein, the first beam scanning operation is used to send a first signal, the second beam scanning operation is used to receive a first signal, and N and M are both integers greater than 1.
The method according to claim 28, wherein when the target sensing node is a first sensing node, the method further includes any of the following:

The target sensing node performs a first beam scanning operation on N ports. The first beam scanning operation is used to send the first signal, and N is an integer greater than 1;

The target sensing node uses at least one port to send the first signal.
The method according to claim 31, wherein before the target sensing node receives the first beam information, the method includes:

The target sensing node sends second information to the computing node. The second information is used by the computing node to determine a first measurement result of the first measurement. The first measurement result is used to determine the first beam. At least one of the set, the second beam set and the third beam set.
The method of claim 32, wherein the second information satisfies at least one of the following:

In the case where the first sensing node performs the first beam scanning operation on N ports, the second information includes at least one of the following: parameter configuration information of the first signal, precoding matrices of the N ports , the beamforming matrix of the N ports, the mapping relationship between the precoding vectors of the N ports and the received signal IQ data of the first signal, the beamforming vector of the N ports and the reception of the first signal The mapping relationship of signal IQ data, the number of scanning beams, the beam scanning time interval, and the physical antenna information mapped when the N ports perform beam scanning;

In the case where the first sensing node uses at least one port to send the first signal, and the second sensing node performs a second beam scanning operation on M ports, the second information includes at least one of the following: Parameter configuration information of a signal, the first sensing node is used to send the precoding matrix of the at least one port of the first signal, and the first sensing node is used to send the beam of the at least one port of the first signal. A shaping matrix, and physical antenna information mapped by the at least one port used by the first sensing node to send the first signal;

Wherein, the first beam scanning operation is used to send the first signal, and N is an integer greater than 1.
The method according to claim 28, wherein when the target sensing node is a second sensing node, the method further includes any of the following:

The target sensing node performs a second beam scanning operation on M ports. The second beam scanning operation is used to receive the first signal, and M is an integer greater than 1;

The target sensing node receives the first signal using at least one port.
The method of claim 34, wherein before the target sensing node receives the first beam information from the computing node, the method includes:

The target sensing node sends first information to the computing node, where the first information is used to determine the first measurement result.
The method of claim 35, wherein the first information satisfies at least one of the following:

In the case where the first sensing node performs a first beam scanning operation on N ports, and the second sensing node uses at least one port to receive the first signal, the first information includes at least one of the following : parameter configuration information of the first signal, received signal IQ data of the first signal, precoding matrices of the N ports, beamforming matrices of the N ports, received signal IQ data of the first signal and the The mapping relationship between the precoding vectors of the N ports, the mapping relationship between the received signal IQ data of the first signal and the beamforming vectors of the N ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the N ports The mapping relationship between the precoding vector, the mapping relationship between the equivalent channel matrix and the beamforming vectors of the N ports, and the equivalent channel correlation matrix eigenvector;

When the second sensing node performs the second beam scanning operation on M ports, the first information includes at least one of the following: parameter configuration information of the first signal, received signal IQ data of the first signal, so The precoding matrices of the M ports, the beamforming matrices of the M ports, the mapping relationship between the received signal IQ data of the first signal and the precoding vectors of the M ports, the received signal IQ data of the first signal The mapping relationship with the beamforming vectors of the M ports, the equivalent channel matrix, the mapping relationship between the equivalent channel matrix and the precoding vectors of the M ports, the equivalent channel matrix and the beams of the M ports The mapping relationship of the shaping vector and the equivalent channel correlation matrix eigenvector;

Wherein, the second beam scanning operation is used to receive the first signal, and M is an integer greater than 1.
The method of claim 28, wherein the method further includes:

The target sensing node sends at least one of the target sensing capability information of the target sensing node and the communication capability information of the target sensing node to the computing node, and at least one of the target sensing capability information and the communication capability information of the target sensing node One item is used to determine the first parameter configuration information, the second parameter configuration information and the third parameter configuration information, wherein the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration information is used For multi-port synaesthesia joint beam measurement, the third parameter configuration information is used to execute the synaesthesia integrated service, and the computing node is used to calculate the first measurement result of the first measurement.
The method according to claim 37, wherein the target sensing capability information includes multi-port beamforming capability information and other sensing capability information except the multi-port beamforming capability information;

Wherein, the multi-port beamforming capability information includes at least one of the following: the maximum port supported for sensing number; the maximum number of ports supported for communication; the maximum number of ports supported for joint sensing and communication; the beamforming type that each port can support; the quantization accuracy of the amplitude adjustment of beamforming at each port; the beamforming at each port The quantization accuracy of the phase adjustment of the shape; the physical antenna information mapped to each port; the minimum and/or average delay of the precoding weight switching of each port; the minimum and/or average delay of the beamforming weight switching of each port; each port The minimum and/or average delay when precoding takes effect; the minimum and/or average delay when beamforming takes effect on each port; when at least one port uses analog beamforming, the corresponding 3dB beam width of the port; when at least one port uses In the case of analog beamforming, the minimum beam scanning angle interval of the port; in the case of at least one port using analog beamforming, the maximum number of beams in the port; in the case of at least one port using analog beamforming, the port beam scanning Maximum angle range.
The method according to claim 37, wherein the first parameter configuration information includes at least one of the following:

The number of beam scans for at least two ports of the sensing node;

The beam scanning angle interval of at least two ports of the sensing node;

The beam scanning angle range of at least two ports of the sensing node;

sensing at least one beam scanning angle of at least two ports of the node;

The beam scanning time interval of at least two ports of the sensing node;

Beam scanning precoding vectors or beam scanning precoding matrices of at least two ports of the sensing node;

beam scanning beamforming vectors or beam scanning beamforming matrices of at least two ports of the sensing node;

The beamforming index of at least two ports of the sensing node;

The precoding codebook index of at least two ports of the sensing node;

sensing the time domain configuration information of the first signal of at least two ports of the node;

Frequency domain configuration information of the first signal of at least two ports of the sensing node;

Instructions for beam scanning rules;

Orthogonal mode configuration information of the first signal;

Physical antenna indication information for at least one port of the sensing node to be used for beam scanning;

Wherein, the first signal is used for the first measurement, and the beam scanning rules include at least one of the following: only the first sensing node performs multi-port synaesthesia joint beam scanning, and only the second sensing node performs multi-port synaesthesia. Joint beam scanning and the first sensing node and the second sensing node both perform multi-port synaesthesia joint beam scanning, the first sensing node is the sending node of the first signal, and the second sensing node is the first sensing node. signal receiving node.
The method according to claim 37, wherein the second parameter configuration information includes at least one of the following:

The sensing measurement quantity of at least one port used for beam measurement;

Communication measurement volume of at least one port used for beam measurement;

A synaesthetic joint measurement quantity for at least one port of the beam measurement;

Port identification of at least two ports used for beam measurements;

Time domain configuration information of the first signal of at least two ports used for beam measurement;

Frequency domain configuration information of the first signal of at least two ports used for beam measurement;

Physical antenna information for at least two ports used for beam measurements;

In the case where the first signal is sent through at least two ports, orthogonal configuration information of the first signal at each port;

Third indication information, the third indication information is used to indicate at least one of the perception conditions, communication conditions and synaesthesia joint conditions;

Fourth indication information, the fourth indication information is used to indicate the judgment condition for the failure of the synaesthesia joint beam corresponding to the target beam set, the target beam set includes the first beam set, the second beam set and a third beam set. At least one of the beam sets, the third beam set includes at least one beam that satisfies the communication condition.
The method of claim 28, wherein the method further includes:

The target sensing node obtains a second measurement result based on the first beam information by performing the synesthesia integration industry. The second measurement result includes at least one of the following: a measurement value of at least one sensory measurement quantity, at least one a measurement of a communication measure and a measurement of at least one synaesthesia joint measure;

The target sensing node performs synaesthesia joint beam detection based on the second measurement result;

The target sensing node performs the first operation when the result of synaesthetic joint beam detection satisfies the judgment condition of joint sensory beam failure;

Wherein, the first operation includes at least one of the following:

Select at least one beam among the historical scanning beams as a new sensing beam, a new communication beam, or a new synaesthetic joint beam to replace the failed beam;

In the case where there is no beam that satisfies the sensing condition and/or there is no beam that satisfies the communication condition and/or there is no beam that satisfies the synaesthesia joint condition in the historical scanning beams, re-determine the first At least one item of first parameter configuration information and second parameter configuration information;

Re-select ports, or re-map ports to physical antennas or sub-arrays and re-determine at least one of the first parameter configuration information and the second parameter configuration information;

Wherein, the first parameter configuration information is used for multi-port synaesthesia joint beam scanning, and the second parameter configuration information is used for multi-port synaesthesia joint beam measurement.
The method according to claim 41, wherein the judgment conditions for synaesthesia joint beam failure include:

The measurement value of at least one perceptual measurement quantity in the first beam set is lower than the seventh preset threshold within the fourth preset time period, or is lower than the seventh preset threshold within the fourth preset time period. The number of times is greater than the thirteenth preset number;

The measured value of at least one synaesthetic joint measurement quantity in the second beam set is lower than the eighth preset threshold within the fourth preset time period, or is lower than the eighth preset threshold within the fourth preset time period. The number of times of the threshold is greater than the fourteenth preset number of times;

The measurement value of at least one communication measurement quantity in the third beam set is lower than the ninth preset threshold within the fourth preset time period, or is lower than the ninth preset threshold within the fourth preset time period. The number of times is greater than the fifteenth preset number of times.
A perception processing device including:

A first determination module, configured to determine a first measurement result of a first measurement, where the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement includes at least one of the following: communication measurement and perception measurement; synaesthesia joint measurement;

The second determination module is configured to determine at least one of the first beam set and the second beam set based on the first measurement result. The first beam set includes at least one beam that satisfies the sensing condition, and the second beam set determines at least one of the first beam set and the second beam set based on the first measurement result. The beam set includes At least one beam that satisfies the conditions for synaesthetic association.
A perception processing device, applied to target perception nodes, including:

a second receiving module, configured to receive first beam information, where the first beam information includes beam information of at least some beams in the target beam set determined based on the first measurement;

A second execution module, configured to execute sensing services based on the first beam information;

Wherein, the target sensing node is a first sensing node or a second sensing node, the first sensing node is a sending node of the first signal for the first measurement, and the second sensing node is a sending node of the first signal. The receiving node; the target beam set includes at least one of the first beam set, the second beam set and the third beam set, the first beam set includes at least one beam that satisfies the sensing condition, and the third beam set includes The two beam sets include at least one beam that meets synaesthesia joint conditions, the third beam set includes at least one beam that satisfies communication conditions; the first measurement is based on multi-port synaesthesia joint beam measurement, and the first measurement Include at least one of the following: communication measurement and perception measurement; combined synaesthesia measurement.
A terminal, including a processor and a memory, the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the implementation of any one of claims 1 to 42 is achieved. The steps of the perceptual processing method described above.
A network side device, including a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, any one of claims 1 to 42 is implemented. The steps of the perceptual processing method described in the item.
A readable storage medium on which a program or instructions are stored. When the program or instructions are executed by a processor, the steps of the perception processing method according to any one of claims 1 to 42 are implemented.