Information transmission method and apparatus, device, chip, and storage medium

Abstract

Embodiments of the present application provide an information transmission method, which is applied to a first node. The method comprises: receiving first information, the first information being used for configuring a first granularity, wherein the first granularity is related to a granularity used by the first node to send second information, and the second information is used for indicating information related to a Doppler frequency offset.

Description

An information transmission method, apparatus, device, chip, and storage medium Technical Field

[0001] This application relates to the field of communication technology, specifically to an information transmission method, apparatus, device, chip, and storage medium. Background Technology

[0002] Typically, the moving speed of the target varies significantly across different sensing scenarios. For example, unmanned aerial vehicles (UAVs) can travel at speeds up to 160 km / h, while pedestrians travel at approximately 3 km / h. Therefore, if a fixed feedback granularity is used for various scenarios when sensing nodes provide feedback information related to Doppler frequency offset (such as speed information, Doppler frequency offset information, etc.), the feedback granularity will be too coarse, resulting in inaccurate feedback information. Summary of the Invention

[0003] This application provides an information transmission method, apparatus, device, chip, and storage medium.

[0004] In a first aspect, embodiments of this application provide an information transmission method applied to a first node. The method includes: receiving first information, the first information being used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to send second information; and the second information being used to indicate information related to Doppler frequency offset.

[0005] Secondly, embodiments of this application provide an information transmission method applied to a second node. The method includes: sending first information to a first node, the first information being used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to send second information; the second information is used to indicate information related to Doppler frequency offset.

[0006] Thirdly, embodiments of this application provide an information transmission device applied to a first node. The device includes: a first communication unit configured to receive first information, the first information being used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to send second information; the second information is used to indicate information related to Doppler frequency offset.

[0007] Fourthly, embodiments of this application provide an information transmission device applied to a second node. The device includes: a second communication unit configured to send first information to a first node, the first information being used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to send the second information; the second information is used to indicate information related to Doppler frequency offset.

[0008] Fifthly, embodiments of this application provide a communication device, including: a memory for storing a computer program; a processor connected to the memory for calling and running the computer program from the memory to implement the method described in the first or second aspect; and a transceiver for receiving and sending information during the process of sending and receiving information with other devices.

[0009] Sixthly, embodiments of this application provide a chip. The chip includes: a processor for retrieving and running a computer program from a memory, causing a device on which the chip is installed to perform the method described in the first or second aspect; and a transceiver for receiving and sending information during the exchange of information with the device or the chip.

[0010] In a seventh aspect, embodiments of this application provide a computer-readable storage medium for storing a computer program that causes a computer to perform the methods described in the first or second aspect.

[0011] In this embodiment, a first node can receive first information, which is used to configure a first granularity. The first granularity is related to the granularity used by the first node to send second information. The second information is used to indicate information related to Doppler frequency offset. Using the method of this embodiment, the first node can determine the granularity used to send the second information based on the first granularity. Since the first granularity can be flexibly configured through the first information, the first node can send the second information with a more flexible / fineer granularity, thereby more accurately indicating information related to Doppler frequency offset. Attached Figure Description

[0012] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0013] Figure 1 is a schematic diagram of an application scenario of an embodiment of this application;

[0014] Figure 2 is a schematic diagram of several sensing modes provided in the embodiments of this application;

[0015] Figure 3 is a schematic diagram of multiple sensing nodes participating in sensing according to an embodiment of this application;

[0016] Figure 4 is a flowchart illustrating an information transmission method provided in an embodiment of this application;

[0017] Figure 5 is a schematic diagram of the structural composition of the information transmission device provided in an embodiment of this application;

[0018] Figure 6 is a schematic diagram of the structural composition of the information transmission device provided in an embodiment of this application;

[0019] Figure 7 is a schematic structural diagram of a communication device provided in an embodiment of this application;

[0020] Figure 8 is a schematic structural diagram of the chip according to an embodiment of this application;

[0021] Figure 9 is a schematic block diagram of a communication system provided in an embodiment of this application. Detailed Implementation

[0022] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0023] Figure 1 is a schematic diagram of an application scenario of an embodiment of this application.

[0024] As shown in Figure 1, the communication system 100 may include a terminal device 110 and a network device 120. The network device 120 can communicate with the terminal device 110 via an air interface. Multi-service transmission is supported between the terminal device 110 and the network device 120.

[0025] It should be understood that the embodiments of this application are only illustrated by way of example with communication system 100, but the embodiments of this application are not limited thereto. That is to say, the technical solutions of the embodiments of this application can be applied to various communication systems, such as: Long Term Evolution (LTE) system, LTE Time Division Duplex (TDD), Universal Mobile Telecommunication System (UMTS), Internet of Things (IoT) system, Narrow Band Internet of Things (NB-IoT) system, enhanced Machine-Type Communications (eMTC) system, 5G communication system (also known as New Radio (NR) communication system), 6G communication system, or future communication systems, etc.

[0026] In the communication system 100 shown in Figure 1, network device 120 may be an access network device that communicates with terminal device 110. The access network device can provide communication coverage for a specific geographical area and can communicate with terminal device 110 (e.g., UE) located within that coverage area.

[0027] Network device 120 may be an evolved Node B (eNB or eNodeB) in a Long Term Evolution (LTE) system, or a Next Generation Radio Access Network (NG RAN) device, or a base station (gNB) in an NR system, or a base station in a 6G system, or a radio controller in a Cloud Radio Access Network (CRAN), or the network device 120 may be a relay station, access point, vehicle-mounted equipment, wearable device, hub, switch, bridge, router, or network equipment in a future evolved Public Land Mobile Network (PLMN), etc.

[0028] Terminal device 110 can be any terminal device, including but not limited to terminal devices that are connected to network device 120 or other terminal devices via wired or wireless connections.

[0029] For example, the terminal device 110 can refer to an access terminal, user equipment (UE), user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device. The access terminal can be a cellular phone, cordless phone, Session Initiation Protocol (SIP) phone, IoT device, satellite handheld terminal, Wireless Local Loop (WLL) station, Personal Digital Assistant (PDA), handheld device with wireless communication capabilities, computing device or other processing device connected to a wireless modem, in-vehicle device, wearable device, terminal device in a 5G network, terminal device in a 6G network, or terminal device in a future evolved network, etc.

[0030] Terminal device 110 can be used for device-to-device (D2D) communication.

[0031] The communication system 100 may further include a core network device 130 that communicates with the network device 120. This core network device 130 may be a 5G core network (5G Core, 5GC) device, such as an Access and Mobility Management Function (AMF), an Authentication Server Function (AUSF), a User Plane Function (UPF), or a Session Management Function (SMF). In some embodiments, the core network device 130 may also be an Evolved Packet Core (EPC) device for an LTE network, such as a Session Management Function + Core Packet Gateway (SMF+PGW-C) device. It should be understood that SMF+PGW-C can simultaneously implement the functions of both SMF and PGW-C. During network evolution, the aforementioned core network device may also be called by other names, or new network entities may be formed by dividing the core network functions; this embodiment does not limit this.

[0032] The various functional units in the communication system 100 can also establish connections and communicate with each other through the next generation (NG) interface.

[0033] For example, terminal devices establish air interface connections with access network devices through the NR interface for transmitting user plane data and control plane signaling; terminal devices can establish control plane signaling connections with the AMF through NG interface 1 (N1); access network devices, such as next-generation radio access base stations (gNB), can establish user plane data connections with the UPF through NG interface 3 (N3); access network devices can establish control plane signaling connections with the AMF through NG interface 2 (N2); the UPF can establish control plane signaling connections with the SMF through NG interface 4 (N4); the UPF can interact with the data network for user plane data through NG interface 6 (N6); the AMF can establish control plane signaling connections with the SMF through NG interface 11 (N11); and the SMF can establish control plane signaling connections with the PCF through NG interface 7 (N7).

[0034] Figure 1 exemplarily illustrates a network device, a core network device, and two terminal devices. Optionally, the communication system 100 may include multiple network devices, and each network device may include other numbers of terminal devices within its coverage area. This application embodiment does not limit this.

[0035] It should be noted that Figure 1 is merely an example illustrating the system to which this application applies. Of course, the method shown in the embodiments of this application can also be applied to other systems. Furthermore, the terms "system" and "network" are often used interchangeably in this document. The term "and / or" in this document merely describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship. It should also be understood that "instruction" mentioned in the embodiments of this application can be a direct instruction, an indirect instruction, or an indication of a related relationship. For example, A instructing B can mean that A directly instructs B, for example, B can be obtained through A; it can also mean that A indirectly instructs B, for example, A instructs C, B can be obtained through C; or it can mean that there is a related relationship between A and B. It should also be understood that "correspondence" mentioned in the embodiments of this application can indicate a direct or indirect correspondence between two things, or an related relationship between two things, or a relationship of instruction and being instructed, configuration and being configured, etc. It should also be understood that the "predefined" or "predefined rules" mentioned in the embodiments of this application can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices), and this application does not limit the specific implementation method. For example, predefined can refer to those defined in a protocol. It should also be understood that in the embodiments of this application, the "protocol" can refer to standard protocols in the field of communication, such as LTE protocol, NR protocol, and related protocols applied to future communication systems, and this application does not limit this.

[0036] To facilitate understanding of the technical solutions of the embodiments of this application, the relevant technologies of the embodiments of this application are described below. The following relevant technologies are optional solutions and can be combined with the technical solutions of the embodiments of this application in any way, and they all fall within the protection scope of the embodiments of this application.

[0037] 1. Integrated communication and sensing

[0038] Next-generation networks (such as 6G networks) are expected to be a fusion of mobile communication networks, sensing networks, and computing networks. In a narrow sense, a sensing network refers to a system with capabilities such as target localization (ranging, velocity, angle measurement), target imaging, target detection, target tracking, and target recognition. In a broad sense, it refers to a system that encompasses all the attributes and states of services, networks, users, terminals, and environmental objects. From the perspective of sensing applications, they can be divided into the following two categories:

[0039] 1) Outdoor / Wide Area / Local Area Applications: including smart cities (e.g., weather monitoring), smart transportation / high-speed rail (e.g., high-precision map building, road monitoring, intrusion detection), low-altitude applications (e.g., drone monitoring and obstacle avoidance, flight intrusion detection, flight path management), etc.

[0040] 2) Indoor / Local Area Applications: including smart home and health management (e.g., respiratory monitoring, intrusion detection, gesture / posture recognition, motion monitoring, motion trajectory tracking, etc.), smart factories (e.g., intrusion detection, material detection, object defect detection, etc.).

[0041] It should be understood that the above classification of sensing applications is merely illustrative, and the application areas of sensing are not limited to the examples above.

[0042] Wireless communication and sensing are two major applications of modern radio frequency (RF) technology. Sensing utilizes radio waves to detect parameters of the physical environment to achieve environmental perception such as target localization, action recognition, and imaging. Traditionally, sensing and wireless communication exist independently, and this separate design leads to a waste of wireless spectrum and hardware resources. With the advent of B5G and 6G, communication spectrum is moving towards millimeter waves, terahertz, and visible light communication; in the future, the spectrum of wireless communication will overlap with the spectrum of traditional sensing. Integrated communication and sensing technology merges these two functions. It can utilize the wireless resources of wireless communication to achieve sensing capabilities; it can leverage widely deployed cellular networks to achieve sensing services over larger areas; it can utilize base stations and multiple terminals for joint sensing to achieve higher sensing accuracy; and it can reuse wireless communication hardware modules to achieve sensing functions, reducing costs. In short, integrated communication and sensing technology enables future wireless communication systems to possess sensing capabilities, providing a foundation for the development of future smart transportation, smart cities, smart factories, drones, and other related businesses.

[0043] 2. Perception Mode

[0044] Perception can be categorized into the following eight modes:

[0045] 1) The base station automatically senses data, as shown in Figure 2(a);

[0046] 2) The terminal automatically senses and receives signals, as shown in Figure 2(b);

[0047] 3) Base station cooperative sensing, as shown in Figure 2(c);

[0048] 4) Terminal collaborative perception, as shown in Figure 2(d);

[0049] 5) Base station-terminal collaborative sensing, as shown in Figure 2(e);

[0050] 6) Terminal-base station collaborative sensing, as shown in Figure 2(f);

[0051] 7) The target being sensed is the node that transmits the sensing signal, as shown in Figure (g) of Figure 2;

[0052] 8) The target being sensed is the sensing signal receiving node, as shown in Figure 2(h).

[0053] The nodes that transmit and receive sensing signals can be collectively referred to as sensing nodes. In the eight sensing modes mentioned above, only a single or pair of sensing nodes exist. However, in wireless communication systems, the number of terminal devices (such as mobile phones, Internet of Things (IoT) devices, etc.) is large. When multiple sensing nodes (such as base stations, mobile phones, IoT devices, etc. that can transmit and / or receive sensing signals) exist around a sensed object, the joint participation of multiple sensing nodes can improve the accuracy of sensing and meet more complex sensing service requirements, providing richer sensing services. When multiple sensing nodes exist in the system, a sensing control node (or sensing management node) may exist to control and manage the entire sensing service to improve efficiency. This sensing control node can be a base station, a terminal, or a core network element. An example of multiple sensing nodes participating in sensing is shown in Figure 3.

[0054] The above provides a brief explanation of the relevant technologies / terms involved in this application, which will not be repeated in the following embodiments.

[0055] Typically, the moving speed of the target varies significantly across different sensing scenarios (see protocol TR22.837). For example, UAVs can travel at speeds up to 160 km / h, while pedestrians travel at approximately 3 km / h. Therefore, if a fixed feedback granularity is used for various scenarios when sensing nodes provide feedback information related to Doppler frequency offset (such as speed and Doppler frequency offset), the feedback granularity will be too coarse. This will result in inaccurate feedback information, and in scenarios where target recognition relies on speed, the inability to accurately distinguish speeds will lead to target recognition failure.

[0056] In view of this, this application provides an information transmission method, apparatus, device, chip, and storage medium. In this method, a first node can receive first information, which is used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to transmit second information; the second information is used to indicate information related to Doppler frequency offset.

[0057] Using the method of this application embodiment, the first node can determine the granularity used to send the second information based on the first granularity. Since the first granularity can be flexibly configured through the first information, the first node can send the second information with a more flexible / finer granularity, thereby more accurately indicating information related to Doppler frequency offset.

[0058] To facilitate understanding of the technical solutions of the embodiments of this application, the technical solutions of this application are described in detail below through specific embodiments. The above-mentioned related technologies are optional solutions and can be arbitrarily combined with the technical solutions of the embodiments of this application, all of which fall within the protection scope of the embodiments of this application. The embodiments of this application include at least some of the following contents.

[0059] Figure 4 is a flowchart illustrating the information transmission method provided in an embodiment of this application. As shown in Figure 4, the method may include the following steps:

[0060] S401, the first node receives first information, which is used to configure a first granularity; wherein, the first granularity is related to the granularity used by the first node to send the second information; the second information is used to indicate information related to Doppler frequency offset.

[0061] In this embodiment, the first node can receive first information, which is used to configure a first granularity.

[0062] As an example, the first information can be higher-layer signaling, that is, the first granularity can be configured through higher-layer signaling; or, the first information can be physical-layer signaling, that is, the first granularity can be configured through physical-layer signaling.

[0063] In some embodiments, the first information may come from a second node. That is, the second node may send the first information to the first node, and correspondingly, the first node may receive the first information sent by the second node.

[0064] For example, the first node can be a terminal device or a network device (such as a base station).

[0065] For example, the second node can be a node with sensing, control, and management functions. The second node can be any entity. For instance, it can be a network device (such as a base station), a terminal device, or a core network element.

[0066] In some embodiments, the first granularity is related to the granularity used by the first node to send the second information, including: the first granularity is the granularity used by the first node to send the second information; or, the granularity used by the first node to send the second information is less than or equal to the first granularity.

[0067] As an example, the first granularity is the granularity used by the first node to send the second information. That is, the first node can send the second information using the configured first granularity.

[0068] In another example, the granularity at which the first node sends the second information is less than or equal to the first granularity. That is, the granularity at which the first node sends the second information should be less than or equal to the configured first granularity. In this way, the first node can select an appropriate granularity as the granularity for sending the second information, within a range less than or equal to the first granularity, based on its own sensing accuracy capabilities, feedback overhead, and other factors.

[0069] According to the method of this embodiment, the first granularity is related to the granularity used by the first node to send the second information. Therefore, the first node can determine the granularity used to send the second information based on the first granularity. Since the first granularity can be flexibly configured through the first information, the first node can send the second information with a more flexible / finer granularity. For example, in scenarios where the moving speed of the perceived target is low, a smaller first granularity can be configured. Thus, the first node can send the second information with a smaller granularity, that is, use a finer granularity to indicate information related to Doppler frequency offset, thereby enabling more accurate indication of information related to Doppler frequency offset.

[0070] In some embodiments, information related to Doppler frequency offset may include velocity information and / or Doppler frequency offset information.

[0071] It should be noted that in some scenarios, the first granularity may only be a suggestion, and the granularity used by the first node to send the second information may also be unrelated to the first granularity.

[0072] In some embodiments, the first information is used to configure the value of the first granularity; or, the first information is used to configure the index value corresponding to the first granularity.

[0073] In other words, the first information can be configured with a specific value for the first granularity, or the index value corresponding to the first granularity can be configured, thereby indicating the configured first granularity through the index value.

[0074] In some embodiments, the first granularity may include one or more of the following: a first velocity granularity; a first Doppler frequency offset granularity; and a first relative Doppler frequency offset granularity.

[0075] As an example, the unit of velocity / velocity granularity may include, but is not limited to, one or more of the following: m / s, km / h, Tc / ns, Tc / us, Tc / ms; the unit of Doppler frequency offset / Doppler frequency offset granularity may include, but is not limited to, one or more of the following: hz, khz, MHz, GHz. Relative Doppler frequency offset refers to the Doppler frequency offset f. d Relative to carrier frequency f c The ratio, i.e., f d / f c .

[0076] In some embodiments, the Doppler frequency offset granularity and / or the unit of Doppler frequency offset is related to the frequency point at which Doppler frequency offset sensing is performed (i.e., the sensing frequency point).

[0077] For example, the expression for Doppler frequency shift is: f d = 2 × v × f0 / c. Where f d Let v represent the Doppler frequency shift, f0 represent the sensing frequency, and c represent the speed of light. This expression shows that, given a fixed velocity, the Doppler frequency shift is directly proportional to the sensing frequency. Therefore, the range of Doppler frequency shift differs for different sensing frequencies, resulting in different granularities and / or units for the Doppler frequency shift.

[0078] In some embodiments, the first velocity granularity may include one or more velocity granularities from a set of velocity granularities.

[0079] As an example, the first velocity granularity may include one velocity granularity from a set of velocity granularities, which may be configured for a certain type of sensing target / clutter.

[0080] As an example, in a scenario where there are multiple types of sensing targets / clutter in the environment, the first velocity granularity may include multiple velocity granularities from a set of velocity granularities, each corresponding to a different type of sensing target / clutter. That is, a corresponding velocity granularity can be configured for each different type of sensing target / clutter.

[0081] For example, in an urban sensing environment, there are both pedestrians traveling at approximately 3 km / h and cars traveling at approximately 60 km / h. The speed difference between the two is significant; therefore, corresponding speed granularity can be configured separately for pedestrians and cars. In this way, when the first node indicates information related to Doppler frequency offset (such as speed information), it can indicate the pedestrian's speed based on the speed granularity corresponding to pedestrians, and the car's speed information based on the speed granularity corresponding to cars.

[0082] In some embodiments, the first Doppler frequency offset granularity may include one or more Doppler frequency offset granularities from a set of Doppler frequency offset granularities.

[0083] As an example, the first Doppler frequency offset granularity may include one Doppler frequency offset granularity from a set of Doppler frequency offset granularities, which may be configured for a certain type of sensing target / clutter.

[0084] For example, in a scenario where there are multiple types of sensing targets / clutter in the environment, the first Doppler frequency offset granularity may include multiple Doppler frequency offset granularities from a set of Doppler frequency offset granularities, each of which can correspond to a different type of sensing target / clutter. That is, for different types of sensing targets / clutter, corresponding Doppler frequency offset granularities can be configured separately.

[0085] As an example, the first Doppler frequency offset granularity may include multiple Doppler frequency offset granularities in a set of Doppler frequency offset granularities, which may be configured for multiple frequency bands.

[0086] As one implementation approach, a Doppler frequency offset granularity can be configured for each of the multiple frequency bands. For example, Doppler frequency offset granularity #1 can be configured for the Sub-6 GHz band, and Doppler frequency offset granularity #2 can be configured for the FR2 band. Doppler frequency offset granularity #1 and / or Doppler frequency offset granularity #2 can, for example, be configured for a specific type of sensing target / clutter.

[0087] As another implementation, multiple Doppler frequency offset granularities can be configured for different frequency bands. For example, for the Sub-6GHz band, Doppler frequency offset granularities #11 and #12 can be configured, and for the FR2 band, Doppler frequency offset granularities #21 and #22 can be configured. Doppler frequency offset granularities #11 and #12 can correspond to different types of sensing targets / clutter, and Doppler frequency offset granularities #21 and #22 can also correspond to different types of sensing targets / clutter.

[0088] In some embodiments, the first information is further used to indicate the frequency band corresponding to the one or more Doppler frequency offset granularities.

[0089] Since the Doppler frequency offset granularity is related to the frequency band, in addition to configuring the one or more Doppler frequency offset granularities, the first information also needs to indicate the frequency band corresponding to the one or more Doppler frequency offset granularities.

[0090] In some embodiments, the first relative Doppler frequency offset granularity may include one or more relative Doppler frequency offset granularities from a set of relative Doppler frequency offset granularities.

[0091] As an example, the first relative Doppler frequency offset granularity may include one of the relative Doppler frequency offset granularities in a set of relative Doppler frequency offset granularities, which may be configured for a certain type of sensing target / clutter.

[0092] For example, in a scenario where there are multiple types of sensing targets / clutter in the environment, the first relative Doppler frequency offset granularity may include multiple relative Doppler frequency offset granularities from a set of relative Doppler frequency offset granularities, each of which can correspond to a different type of sensing target / clutter. That is, for different types of sensing targets / clutter, corresponding relative Doppler frequency offset granularities can be configured separately.

[0093] According to the method of this embodiment, a corresponding granularity can be configured for a certain type of sensing target / clutter, or a corresponding granularity can be configured for multiple types of targets / clutter respectively, so that the granularity adopted by the first node can be better adapted to the sensing targets / clutter present in the environment.

[0094] In some embodiments, the ratio of two adjacent velocity granularities in the velocity granularity set is a power of 2. The ratio of two adjacent velocity granularities can refer to either the ratio of the latter to the former, or the ratio of the former to the latter.

[0095] For example, the velocity granularity set may include the following velocity granularity: 0.5 × 2 k1 m / s, 0.5×2 k2 m / s, 0.5×2 k3 m / s……, k1, k2, k3 are integers.

[0096] Where k1, k2, and k3 can be index values ​​corresponding to the velocity granularity. For example, velocity granularity = 0.5 × 2 k1 The index value corresponding to m / s is k1, and the velocity granularity is 0.5 × 2. k2 The index value corresponding to m / s is k2, and the velocity granularity is 0.5 × 2. k3 The index value corresponding to m / s is k3.

[0097] As one implementation, the ratio of two adjacent velocity granularities in the velocity granularity set is 2 (or 1 / 2). For example, k1 = 0, k2 = 1, k3 = 2.

[0098] In some embodiments, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is an integer power of 2. The ratio of two adjacent Doppler frequency offset granularities can refer to either the ratio of the latter to the former of the two adjacent Doppler frequency offset granularities, or it can refer to the ratio of the former to the latter of the two adjacent Doppler frequency offset granularities.

[0099] For example, the Doppler frequency offset granularity set may include the following Doppler frequency offset granularity: 1.5 × 2 m1 GHz, 1.5×2 m2 GHz, 1.5×2 m3 Ghz……, m1, m2, m3 are integers. Among them, m1, m2, m3 can be the index values ​​corresponding to the Doppler frequency offset granularity.

[0100] As one implementation, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is 2 (or 1 / 2). For example, m1 = 0, m2 = 1, m3 = 2.

[0101] In some embodiments, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is an integer power of 2. The ratio of two adjacent relative Doppler frequency offset granularities can refer to the ratio of the latter to the former of the two adjacent relative Doppler frequency offset granularities, or it can refer to the ratio of the former to the latter of the two adjacent relative Doppler frequency offset granularities.

[0102] For example, the set of relative Doppler frequency offset granularities may include the following relative Doppler frequency offset granularities: 2 n1-2 E-8, 2 n2-2 E-8, 2 n3-2 E-8……, where n1, n2, and n3 are integers. Among them, n1, n2, and n3 can be the index values ​​corresponding to the relative Doppler frequency offset granularity, and "E-8" represents 10 to the power of -8.

[0103] As one implementation, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is 2 (or 1 / 2). For example, n1 = 0, n2 = 1, n3 = 2.

[0104] According to the method of this embodiment, in the granularity set (such as the velocity granularity set / Doppler frequency offset granularity set / relative Doppler frequency offset granularity set), the ratio of two adjacent granularities is an integer power of 2, or in other words, the two adjacent granularities satisfy a power-2 relationship. This is beneficial for adapting to binary indication methods.

[0105] In some embodiments, the ratio of two adjacent velocity granularities in the velocity granularity set is fixed or not fixed.

[0106] For example, in the set of velocity granularities, the ratio of two adjacent velocity granularities is fixed.

[0107] In other words, within the velocity granularity set, the ratio calculated for any two adjacent velocity granularities is equal. For example, suppose the velocity granularity set includes velocity granularity #1, velocity granularity #2, and velocity granularity #3, where velocity granularity #1 is adjacent to velocity granularity #2, and velocity granularity #2 is adjacent to velocity granularity #3. Then, the ratio of velocity granularity #1 to velocity granularity #2 is equal to the ratio of velocity granularity #2 to velocity granularity #3.

[0108] For example, in the above example of velocity granularity set, if k1 = 0, k2 = 1, and k3 = 2, then the ratio of two adjacent velocity granularities can be considered to be fixed.

[0109] For example, in a set of velocity granularities, the ratio of two adjacent velocity granularities is not fixed.

[0110] In other words, within a set of velocity granularities, the ratios calculated from two different adjacent velocity granularities may not be equal. For example, suppose the set of velocity granularities includes velocity granularity #1, velocity granularity #2, and velocity granularity #3, where velocity granularity #1 is adjacent to velocity granularity #2, and velocity granularity #2 is adjacent to velocity granularity #3. Then, the ratio of velocity granularity #1 to velocity granularity #2 may not be equal to the ratio of velocity granularity #2 to velocity granularity #3.

[0111] For example, in the above example of velocity granularity set, if k1 = 0, k2 = 1, and k3 = 3, then the ratio of two adjacent velocity granularities can be considered to be non-fixed.

[0112] In some embodiments, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is fixed or not fixed.

[0113] As an example, in the set of Doppler frequency offset granularities, the ratio of two adjacent Doppler frequency offset granularities is fixed.

[0114] In other words, within the Doppler frequency offset granularity set, the ratio calculated from any two adjacent Doppler frequency offset granularities is equal. For example, suppose the Doppler frequency offset granularity set includes Doppler frequency offset granularity #1, Doppler frequency offset granularity #2, and Doppler frequency offset granularity #3, where Doppler frequency offset granularity #1 is adjacent to Doppler frequency offset granularity #2, and Doppler frequency offset granularity #3 is adjacent to Doppler frequency offset granularity #3.

[0115] For example, in the above example of Doppler frequency offset granularity set, if m1 = 0, m2 = 1, and m3 = 2, then the ratio of two adjacent Doppler frequency offset granularities can be considered to be fixed.

[0116] As an example, in the set of Doppler frequency offset granularities, the ratio of two adjacent Doppler frequency offset granularities is not fixed.

[0117] In other words, within a set of Doppler frequency offset granularities, the ratios calculated from different adjacent Doppler frequency offset granularities may not be equal. For example, suppose the set of Doppler frequency offset granularities includes Doppler frequency offset granularity #1, Doppler frequency offset granularity #2, and Doppler frequency offset granularity #3, where Doppler frequency offset granularity #1 is adjacent to Doppler frequency offset granularity #2, and Doppler frequency offset granularity #3 is adjacent. Then, the ratio of Doppler frequency offset granularity #1 to Doppler frequency offset granularity #2 may not be equal to the ratio of Doppler frequency offset granularity #2 to Doppler frequency offset granularity #3.

[0118] For example, in the above example of Doppler frequency offset granularity set, if m1 = 0, m2 = 1, and m3 = 3, then it can be considered that the ratio of two adjacent Doppler frequency offset granularities is not fixed.

[0119] In some embodiments, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is fixed or not fixed.

[0120] As an example, in the set of relative Doppler frequency offset granularities, the ratio of two adjacent relative Doppler frequency offset granularities is fixed.

[0121] In other words, within the set of relative Doppler frequency offset granularities, the ratio calculated from any two adjacent relative Doppler frequency offset granularities is equal. For example, suppose the set of relative Doppler frequency offset granularities includes relative Doppler frequency offset granularity #1, relative Doppler frequency offset granularity #2, and relative Doppler frequency offset granularity #3, where relative Doppler frequency offset granularity #1 is adjacent to relative Doppler frequency offset granularity #2, and relative Doppler frequency offset granularity #3 is adjacent to relative Doppler frequency offset granularity #3.

[0122] For example, in the above example of relative Doppler frequency offset granularity set, if n1 = 0, n2 = 1, and n3 = 2, then the ratio of two adjacent relative Doppler frequency offset granularities can be considered to be fixed.

[0123] As an example, in a set of relative Doppler frequency offset granularities, the ratio of two adjacent relative Doppler frequency offset granularities is not fixed.

[0124] In other words, within a set of relative Doppler frequency offset granularities, the ratios calculated from different adjacent relative Doppler frequency offset granularities may not be equal. For example, suppose the set of relative Doppler frequency offset granularities includes relative Doppler frequency offset granularity #1, relative Doppler frequency offset granularity #2, and relative Doppler frequency offset granularity #3, where relative Doppler frequency offset granularity #1 is adjacent to relative Doppler frequency offset granularity #2, and relative Doppler frequency offset granularity #3 is adjacent. Then, the ratio of relative Doppler frequency offset granularity #1 to relative Doppler frequency offset granularity #2 may not be equal to the ratio of relative Doppler frequency offset granularity #2 to relative Doppler frequency offset granularity #3.

[0125] For example, in the above example of relative Doppler frequency offset granularity set, if n1 = 0, n2 = 1, and n3 = 3, then it can be considered that the ratio of two adjacent relative Doppler frequency offset granularities is not fixed.

[0126] According to the method of this embodiment, in the particle size set (such as the velocity particle size set / Doppler frequency offset particle size set / relative Doppler frequency offset particle size set), the ratio of two adjacent particle sizes can be fixed or not fixed.

[0127] Understandably, the movement speed of a perceived target can vary significantly across different scenarios. Therefore, in such cases, the ratio of two adjacent granularities within the granularity set can be variable. For example, in indoor scenarios, the velocity granularity value is typically within a smaller range, while in outdoor scenarios, it is typically within a larger range. In this case, if two adjacent velocity granularities are both for indoor scenarios, their ratio can be relatively small to improve accuracy; conversely, if one of the two adjacent velocity granularities is for an indoor scenario and the other for an outdoor scenario, their ratio should be relatively large. This avoids including meaningless velocity granularities in the granularity set, thereby saving resources.

[0128] In some embodiments, the method may further include: the first node sending a first parameter to the node receiving the second information, the first parameter being used to indicate the granularity at which the first node sends the second information.

[0129] In some embodiments, the node receiving the second information is a second node, and the second node is also the node that sent the first information. That is, after receiving the first information sent by the second node, the first node can determine the granularity used to send the second information based on the first information, and then send (feedback) a first parameter to the second node to indicate the granularity used by the first node to send the second information. Correspondingly, the second node can receive the first parameter sent by the first node, and thus can know the granularity used by the first node to send the second information based on the first parameter.

[0130] In some embodiments, the node receiving the second information is a third node. That is, after receiving the first information sent by the second node, the first node can determine the granularity of sending the second information based on the first information, and then send a first parameter to the third node to indicate the granularity of sending the second information. Correspondingly, the third node can receive the first parameter sent by the first node, and thus know the granularity of sending the second information by the first node based on the first parameter.

[0131] In some embodiments, the first parameter may be carried in the second information, or it may be carried in other information besides the second information (such as the third information).

[0132] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate is related to the granularity at which the first node transmits the second information.

[0133] As an example, assuming the first node sends the second message with a speed granularity of 0.5 m / s and the second message is 4 bits long, then the range of speed information that the first node can indicate is: 0 to 0.5 × 2 4 m / s.

[0134] According to the method of this embodiment, the range of information related to Doppler frequency offset that the first node can indicate can be determined based on the granularity of the second information sent by the first node.

[0135] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate is proportional to the granularity at which the first node transmits the second information.

[0136] For example, when the length (number of bits) of the second information is fixed, the larger the granularity of the second information sent by the first node, the larger the range of information related to Doppler frequency offset that the first node can indicate; the smaller the granularity of the second information sent by the first node, the smaller the range of information related to Doppler frequency offset that the first node can indicate.

[0137] Taking speed as an example, it can be understood that a larger speed granularity is usually used in scenarios where the speed of the target is relatively fast, and the speed range corresponding to a faster speed is also larger. It can be seen that the above proportional relationship matches the characteristics of the target being perceived, thereby indicating speed information more efficiently.

[0138] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate can be indicated by a second parameter. That is, the range of information related to Doppler frequency offset that the first node can indicate can be indicated by an independent parameter.

[0139] In some embodiments, the second parameter may be carried in the first information, or it may be carried in other information besides the first information (such as the fourth information).

[0140] In some embodiments, the length of the second information (such as the number of bits of the second information) is related to the granularity used by the first node to send the second information.

[0141] For example, the length of the second information is inversely proportional to the granularity used by the first node to send the second information.

[0142] For example, if the range of information related to Doppler frequency offset that the first node can indicate is determined, the larger the granularity of the second information sent by the first node, the shorter the length of the second information (fewer bits); the smaller the granularity of the second information sent by the first node, the longer the length of the second information (more bits).

[0143] According to the method of this embodiment, when the requirement for granularity accuracy is relatively low, a larger granularity can be used to send the second information, thereby reducing the bit overhead of sending the second information; when the requirement for granularity accuracy is high, if a larger bit overhead is acceptable, a smaller granularity can be used to send the second information to more accurately indicate information related to Doppler frequency offset.

[0144] In some embodiments, the second information includes a first index value.

[0145] In other words, the first node can carry a first index value in the second information, thereby indicating information related to Doppler frequency offset (such as velocity information and / or Doppler frequency offset information) through the first index value. In this way, it can be ensured that the content of the second information is always an integer.

[0146] In some embodiments, the first index value is used to indicate a first value range, and / or the first index value corresponds to the first value range; the first value range is: the value range in which the information related to Doppler frequency offset obtained by the first node is sensed or measured.

[0147] Taking speed information as an example, assuming the speed information (speed value) sensed or measured by the first node is 18 km / h, then the first index value is the index value corresponding to the value range where 18 km / h falls, which is also the first value range. For example, the first value range is 10 km / h to 20 km / h. In this way, the node receiving the second information can know from the first index value that the speed information (speed value) sensed or measured by the first node is within the range of 10 km / h to 20 km / h.

[0148] In some embodiments, the range of values ​​(such as a first range of values) is consistent with the granularity used by the first node to send the second information. For example, if the first range of values ​​is 10 km / h to 20 km / h, it means that the speed granularity used by the first node to send the second information is 10 km / h.

[0149] In some embodiments, the first index value is one of one or more index values; wherein the one or more index values ​​correspond one-to-one with one or more value ranges, the value ranges representing the value ranges of information related to Doppler frequency offset.

[0150] As an example, the first index value can be one of the following index values: index value #1, index value #2, and index value #3. Here, index value #1 corresponds to the value range #1 (e.g., 10km / h to 20km / h); index value #2 corresponds to the value range #2 (e.g., 20km / h to 30km / h); and index value #3 corresponds to the value range #3 (e.g., 30km / h to 40km / h).

[0151] In this example, the value range represents the range of values ​​for the speed information.

[0152] In this example, if the speed information (speed value) sensed or measured by the first node falls within the range of value #1 (e.g., 10km / h to 20km / h), then the index value #1 can be carried in the second information.

[0153] In some embodiments, the one or more value ranges (e.g., value range #1 to value range #3) are included in a first list, which may be determined based on one or more of the following a) to d):

[0154] a) The range of information related to Doppler frequency offset that the first node can indicate.

[0155] For example, the range of information related to Doppler frequency offset that the first node can indicate should be included within the range (valid range) of the first list. Therefore, when determining whether a certain list can be identified as the first list, it can be determined whether the range (valid range) of the list includes the range of information related to Doppler frequency offset that the first node can indicate. If it does, then the list can be considered as the first list.

[0156] For example, the speed information that the first node can indicate is in the range of 10 km / h to 40 km / h. Since the effective range of Table 5 below is 10 km / h to 40 km / h, Table 5 can be considered as the first list.

[0157] b) The granularity used by the first node to send the second information.

[0158] For example, different lists can correspond to different granularities, so the first list can be determined based on the granularity used by the first node to send the second information.

[0159] For example, Table 10 below corresponds to a velocity granularity of 0.5 m / s, and Table 11 below corresponds to a velocity granularity of 20 km / h. If the velocity granularity used by the first node to send the second information is 0.5 m / s, then Table 10 can be considered as the first list. If the velocity granularity used by the first node to send the second information is 20 km / h, then Table 11 can be considered as the first list.

[0160] c) The value of information related to Doppler frequency offset obtained by the first node sensing or measuring.

[0161] For example, the values ​​of information related to Doppler frequency offset sensed or measured by the first node should be included within the range (effective range) of the first list. Therefore, when determining whether a certain list can be identified as the first list, it can be determined whether the range (effective range) of the list includes the values ​​of information related to Doppler frequency offset sensed or measured by the first node. If it does, then the list can be considered as the first list.

[0162] For example, if the velocity information obtained by the first node is 4 m / s, and since the effective range of Table 10 below is 0.5 m / s to 5 m / s, including 4 m / s, Table 10 can be considered as the first list.

[0163] d) The type of target sensed or measured by the first node.

[0164] For example, different lists may correspond to different types of targets (or perceived targets), so the first list can be determined based on the type of target perceived or measured by the first node.

[0165] For example, Table 10 below corresponds to non-motorized targets, and Table 11 corresponds to motorized targets. If the type of target perceived or measured by the first node is non-motorized, then Table 10 can be considered as the first list; if the type of target perceived or measured by the first node is motorized, then Table 11 can be considered as the first list.

[0166] According to the method of this embodiment, the first node may determine a suitable first list based on one or more of a) to d), and then may indicate information related to Doppler frequency offset based on the first list.

[0167] In some embodiments, there may be multiple first index values ​​in the second information, and different first index values ​​may correspond to different information types.

[0168] For example, the second information may include a first index value #11 and a first index value #12. The first index value #11 corresponds to velocity information and is used to indicate the range of values ​​of the velocity information (velocity value) obtained by sensing or measuring; the first index value #12 corresponds to Doppler frequency offset information and is used to indicate the range of values ​​of the Doppler frequency offset information (Doppler frequency offset value) obtained by sensing or measuring.

[0169] In some embodiments, there may be multiple first index values ​​in the second information, and different first index values ​​may correspond to different targets / clutter.

[0170] For example, the second information may include a first index value #21 and a first index value #22. The first index value #21 corresponds to target #1 and is used to indicate the value range of information related to Doppler frequency offset obtained by sensing or measuring target #1; the first index value #22 corresponds to target #2 and is used to indicate the value range of information related to Doppler frequency offset obtained by sensing or measuring target #2.

[0171] In some embodiments, there may be multiple first index values ​​in the second information, including index values ​​corresponding to different information types and index values ​​corresponding to different targets / clutter.

[0172] For example, the second information may include a first index value #31, a first index value #32, a first index value #33, and a first index value #34. Specifically, the first index value #31 indicates the range of values ​​for the velocity information (velocity value) obtained from sensing or measuring target #1; the first index value #32 indicates the range of values ​​for the velocity information (velocity value) obtained from sensing or measuring target #2; the first index value #33 indicates the range of values ​​for the Doppler frequency offset information (Doppler frequency offset value) obtained from sensing or measuring target #1; and the first index value #34 indicates the range of values ​​for the Doppler frequency offset information (Doppler frequency offset value) obtained from sensing or measuring target #2.

[0173] In some embodiments, the method may further include: the first node sending second information to a second node (i.e., the node that sent the first information) or a third node. Accordingly, the second node or the third node may receive the second information sent by the first node.

[0174] The granularity at which the first node sends the second information is related to the first granularity. Since the first granularity can be flexibly configured through the first information, the first node can send the second information with a more flexible / finer granularity, thereby more accurately indicating information related to Doppler frequency offset.

[0175] The information transmission method provided in this application embodiment will be described in detail below with reference to specific application scenarios.

[0176] For example, the information transmission method provided in this application embodiment may include the following steps 1 and 2.

[0177] Step 1: Determine the feedback granularity at the first node.

[0178] In some embodiments, the first node can determine the feedback granularity by receiving the feedback granularity configuration (corresponding to the aforementioned first information).

[0179] For example, the feedback granularity configured in the feedback granularity configuration is related to the accuracy requirements of the service layer for the feedback quantity. Therefore, the granularity of the feedback quantity (information related to Doppler frequency offset) reported by the first node cannot be greater than or equal to the configured feedback granularity.

[0180] In some embodiments, the feedback granularity configuration may include one or more of the following: velocity granularity configuration; Doppler frequency offset granularity configuration; relative Doppler frequency offset granularity configuration; velocity granularity index configuration; Doppler frequency offset granularity index configuration; and relative Doppler frequency offset granularity index configuration.

[0181] As an example, the velocity granularity includes multiple values. For example, 0.5 m / s, 1.5 m / s, 8.3 m / s, 1 km / h, 5 km / h, 10 km / h, 20 km / h, 30 km / h. The velocity granularity configuration can indicate one of the above values.

[0182] As an example, the velocity granularity index ranges from 0 to 4, with each index corresponding to a velocity granularity. For instance, velocity granularity index k corresponds to a velocity granularity of 0.5 × 2. k m / s. The velocity granularity index configuration can indicate a value from 0 to 4 for the velocity granularity index.

[0183] As an example, the velocity granularity index ranges from 0 to 4, with each index corresponding to a velocity granularity, as shown in Table 1. The velocity granularity index configuration can indicate a value from 0 to 4 for the velocity granularity index.

[0184] It should be understood that the units in Table 1 are illustrated using km / h as an example, and this method can also be applied to other units, such as m / s.

[0185] Table 1. Velocity Particle Size Index

[0186] As an example, Doppler frequency offset granularity includes multiple values. For different frequency bands, Doppler frequency offset granularity can include different values. For example:

[0187] MHz bands: 1.5GHz, 6.5GHz, 13GHz, 26GHz, 39GHz;

[0188] Sub-6GHz bands: 13.5GHz, 58.5GHz, 117GHz, 234GHz, 351GHz;

[0189] FR2 bands: 45GHz, 195GHz, 390GHz, 780GHz, 1170GHz.

[0190] One possible approach is that the Doppler frequency offset granularity configuration can indicate one of the aforementioned values ​​for the Doppler frequency offset granularity.

[0191] Another possible approach is to configure the Doppler frequency offset granularity to indicate multiple values ​​for the aforementioned Doppler frequency offset granularity, which refer to multiple values ​​for multiple frequency bands. For example, a separate Doppler frequency offset granularity value can be indicated for each frequency band.

[0192] For example, the relative Doppler frequency offset granularity includes: 0.3E-8, ​​1E-8, and 5E-8. ​​"E-8" means 10 to the power of -8.

[0193] Among them, relative Doppler frequency offset refers to Doppler frequency offset f d Relative to carrier frequency f c The ratio, i.e., f d / f c The relative Doppler frequency offset granularity configuration can indicate one of the values ​​of the aforementioned relative Doppler frequency offset granularity.

[0194] In one possible approach, considering that the absolute values ​​of the relative Doppler frequency offset granularity are very small, all on the order of E⁻⁸, the relative Doppler frequency offset granularity configuration can also simply indicate the preceding coefficients, i.e., the relative Doppler frequency offset granularity coefficients (e.g., 0.3, 1, 5). In this case, the relative Doppler frequency offset granularity configuration can indicate one of the values ​​of the relative Doppler frequency offset granularity coefficients (e.g., 0.3, 1, 5).

[0195] Since the relative Doppler frequency offset granularity is independent of the frequency band, there is no need to indicate frequency band information.

[0196] As an example, the Doppler frequency offset granularity index includes 0 to 4, with each index corresponding to a Doppler frequency offset granularity, as shown in Table 2. The Doppler frequency offset granularity index configuration can indicate a value from 0 to 4 for the Doppler frequency offset granularity index.

[0197] It should be understood that the units in Table 2 are illustrated using GHz as an example, and this method can also be applied to other units.

[0198] Table 2 Doppler Frequency Offset Granularity Index

[0199] As an example, the relative Doppler frequency offset granularity index includes 0 to 4, with each index corresponding to a relative Doppler frequency offset granularity or a relative Doppler frequency offset granularity coefficient, as shown in Table 3. The relative Doppler frequency offset granularity index configuration can indicate a value from 0 to 4 for the relative Doppler frequency offset granularity index.

[0200] Table 3. Relative Doppler Frequency Offset Granularity Index

[0201] As an example, the Doppler frequency offset granularity index ranges from 0 to 4, with each index corresponding to a specific Doppler frequency offset granularity. For instance, the Doppler frequency offset granularity index k corresponds to a Doppler frequency offset granularity of 1.5 × 2. k Ghz. The Doppler frequency offset granularity index configuration can indicate a value from 0 to 4 for the Doppler frequency offset granularity index.

[0202] As an example, the relative Doppler frequency offset granularity index ranges from 0 to 4, with each index corresponding to a relative Doppler frequency offset granularity or a relative Doppler frequency offset granularity coefficient. For instance, the relative Doppler frequency offset granularity index k corresponds to a relative Doppler frequency offset granularity of 2. k-2 E-8 corresponds to a relative Doppler frequency offset granularity coefficient of 2. k-2 The relative Doppler frequency offset granularity index configuration can indicate a value from 0 to 4 for the relative Doppler frequency offset granularity index.

[0203] According to the method of this embodiment, the first node can determine the feedback granularity based on the feedback granularity configuration, thereby enabling finer feedback with limited bits.

[0204] In some embodiments, the first node may select and feed back a first parameter based on a configured feedback granularity. The first parameter indicates the feedback granularity used by the first node to feed back information related to Doppler frequency offset. For example, the information related to Doppler frequency offset may include velocity information and / or Doppler frequency offset information. Thus, the first node can select an optimized feedback granularity based on its sensing accuracy capability, feedback overhead, and other factors.

[0205] In some embodiments, the unit of speed may include at least one of the following: m / s, km / h, Tc / ns, Tc / us, Tc / ms. Since speed directly expresses service characteristics and is independent of the sensing frequency, obtaining the target speed does not require additional frequency information.

[0206] In some embodiments, the unit of Doppler frequency offset may include at least one of the following: Hz, kHz, MHz, GHz. The Doppler frequency offset can be obtained through basic signal processing.

[0207] In some embodiments, the unit or granularity of Doppler frequency offset is related to the sensing frequency.

[0208] For example, the expression for Doppler frequency shift is: f d = 2 × v × f0 / c. Where f d Let v represent the Doppler frequency shift, f0 represent the sensing frequency, and c represent the speed of light. This expression shows that the Doppler frequency shift is directly proportional to the sensing frequency; that is, the higher the sensing frequency, the greater the Doppler frequency shift. Therefore, the range of Doppler frequency shift varies for different sensing frequencies.

[0209] In some embodiments, adjacent velocity granularities or Doppler frequency offset granularities satisfy a power-2 relationship, or in other words, the ratio of adjacent velocity granularities or Doppler frequency offset granularities is a power of 2. This facilitates adaptation to binary indication methods.

[0210] In one possible approach, the ratio of adjacent velocity granularities or Doppler frequency offset granularities is 2 (or 1 / 2). That is, in two adjacent velocity granularities, one velocity granularity is twice the other velocity granularity, or in two adjacent Doppler frequency offset granularities, one Doppler frequency offset granularity is twice the other Doppler frequency offset granularity.

[0211] In some embodiments, the intervals between adjacent velocity granularities or Doppler frequency offset granularities are unequal, or the ratio of adjacent velocity granularities or Doppler frequency offset granularities is not fixed.

[0212] In some embodiments, the intervals between adjacent velocity granularities or Doppler frequency offset granularities are equal, or the ratio of adjacent velocity granularities or Doppler frequency offset granularities is fixed.

[0213] In some embodiments, the feedback granularity indicated by the first parameter is less than or equal to the feedback granularity configured in the feedback granularity configuration. Thus, while meeting business accuracy requirements, the first node can select an optimized feedback granularity based on its own perception accuracy capabilities, feedback overhead, and other factors.

[0214] In some embodiments, the first node can receive multiple feedback granularity configurations. This scheme is applicable to scenarios where there are multiple types of sensing targets / clutter in the environment, that is, scenarios with multiple targets / multiple clutter.

[0215] For example, in an urban sensing environment, there are pedestrians traveling at approximately 3 km / h and cars traveling at approximately 60 km / h. The speed difference between the two is significant; therefore, different feedback granularities can be configured for targets at different speed levels. Furthermore, in scenarios with multiple targets / clutter, when the first node reports information related to Doppler frequency offset, it needs to report the corresponding feedback granularity for each target / clutter.

[0216] In some embodiments, the first node may receive a feedback range configuration. This feedback range configuration allows the first node to configure the range of Doppler frequency offset-related information it can feed back.

[0217] In one possible approach, the feedback range configuration can be indicated by a separate parameter (such as the second parameter mentioned above).

[0218] In one possible approach, the feedback range configuration can be tied to an indication of the feedback granularity. For example, each feedback granularity can correspond to a feedback range, so when the feedback granularity is configured, the feedback range is also configured.

[0219] It is understandable that the speed range in different scenarios is usually not continuous. Therefore, configuring a dedicated feedback range for different scenarios can help avoid invalid ranges.

[0220] Step 2: The first node provides feedback information related to Doppler frequency offset based on the feedback granularity (corresponding to the second information mentioned above).

[0221] In some embodiments, the first node may determine / select a first parameter based on the feedback granularity configuration, thereby feeding back information related to Doppler frequency offset based on the feedback granularity indicated by the first parameter.

[0222] According to the method of this embodiment, the first node can configure the feedback information related to Doppler frequency offset according to the feedback granularity, so as to achieve more refined feedback with limited bits.

[0223] In some embodiments, the bit length of the information related to Doppler frequency offset fed back by the first node is related to the feedback granularity adopted.

[0224] For example, when the range of Doppler frequency offset related information that the first node can feed back is determined, the bit length of the Doppler frequency offset related information fed back by the first node is inversely proportional to the feedback granularity used. That is, the larger the feedback granularity, the fewer bits of Doppler frequency offset related information fed back by the first node; the smaller the feedback granularity, the more bits of Doppler frequency offset related information fed back by the first node. Thus, by using a larger feedback granularity, the bit overhead of the feedback information can be reduced.

[0225] In some embodiments, the bit length of the Doppler frequency offset related information fed back by the first node is fixed. In this case, the range of Doppler frequency offset related information that the first node can feed back is related to the feedback granularity used.

[0226] For example, given a fixed bit length for the Doppler frequency offset related information fed back by the first node, the range of Doppler frequency offset related information that the first node can feed back is directly proportional to the feedback granularity used. That is, the larger the feedback granularity used, the larger the range of Doppler frequency offset related information that the first node can feed back; the smaller the feedback granularity used, the smaller the range of Doppler frequency offset related information that the first node can feed back.

[0227] Taking speed as an example, it can be understood that a larger speed granularity is usually used in scenarios where the speed of the perceived target is relatively fast, and the speed range corresponding to a faster speed is also larger. It can be seen that the above proportional relationship matches the characteristics of the perceived target, thereby making the feedback more efficient.

[0228] In some embodiments, the first node may use a feedback index value to provide information related to the Doppler frequency offset. This ensures that the feedback value is always an integer.

[0229] For example, the range of information related to Doppler frequency offset corresponding to different index values ​​can be predetermined. Table 4 gives an example of the velocity range corresponding to different index values.

[0230] Table 4 Index Value Correspondence Table (Velocity Granularity = 1 m / s)

[0231] In some embodiments, the first node may determine a correspondence table (such as Tables 4 to 11) between the range of information related to Doppler frequency offset and index values ​​based on the feedback granularity. For ease of description, this type of table is referred to as an index value correspondence table. Further, the first node may feed back information related to Doppler frequency offset based on the determined index value correspondence table.

[0232] For example, multiple index value mapping tables can exist. For instance, different index value mapping tables can be set for different feedback granularities, ensuring that each index value is always valid and avoiding invalid information from occupying space. As shown in Tables 4 and 5, different index value mapping tables can be set for different feedback granularities.

[0233] Table 5 Index Value Correspondence Table (Velocity Granularity = 10km / h)

[0234] In some embodiments, the first node may determine the range of Doppler frequency offset related information that can be fed back. Exemplarily, this range may be determined based on feedback granularity and / or feedback range configuration. Further, the first node may select an appropriate index value mapping table based on this range.

[0235] As an example, assuming the range of Doppler frequency offset information that the first node can report is within the range of 10 km / h to 40 km / h, then Table 5 can be used (its corresponding effective range is 10 km / h to 40 km / h). Although speeds less than 10 km / h or greater than 40 km / h can also be indicated by Table 5, the specific speed range will not be indicated, especially for speeds greater than 40 km / h. Therefore, if there are targets / clutter with speeds greater than 40 km / h in the environment, it is recommended to use a table with a larger granularity of index values ​​for indication.

[0236] To facilitate understanding, the following example illustrates the method for the first node to provide feedback information related to Doppler frequency offset.

[0237] Example 1: The first node provides feedback directly based on the configured feedback granularity.

[0238] Assuming the speed granularity configuration received by the first node is SpeedReportingGranularityFactor = 10 km / h, and the first node measures the target speed as 5 m / s (18 km / h), in this case, the first node can report index value 1 according to the speed granularity configuration, using Table 7.

[0239] Tables 6 and 7 provide the corresponding index values ​​for the two velocity granularities.

[0240] Table 6 Index Value Correspondence Table (Velocity Granularity = 1 m / s)

[0241] Table 7 Index Value Correspondence Table (Velocity Granularity = 10km / h)

[0242] Example 2: The first node provides feedback according to the feedback granularity indicated by the first parameter.

[0243] Assume the speed granularity configuration received by the first node is SpeedReportingGranularityFactor = 10 km / h, and the first node measures the target speed as 5 m / s (18 km / h). In this case, considering that the speed granularity in Table 8 is more refined and the feedback overhead is acceptable, Table 8 (i.e., using speed granularity = 1 m / s) can be used, and index value 5 can be reported. Here, the speed granularity of 1 m / s is the feedback granularity indicated by the first parameter, or in other words, the speed granularity of 1 m / s is the feedback granularity corresponding to the first parameter.

[0244] In some embodiments, the first node may report a first parameter (such as 0) along with the index value. In this embodiment, it is assumed that the velocity granularity corresponding to 0 is 1 m / s and the velocity granularity corresponding to 1 is 10 km / h.

[0245] Tables 8 and 9 provide the corresponding index values ​​for the two velocity granularities.

[0246] Table 8 Index Value Correspondence Table (Velocity Granularity = 1 m / s)

[0247] Table 9 Index Value Correspondence Table (Velocity Granularity = 10km / h)

[0248] Example 3: Multi-target / multi-clutter scenario.

[0249] Assuming the speed granularity configuration received by the first node is SpeedReportingGranularityFactor = 0.5 m / s and 20 km / h, and the first node measures the speeds of sensing target 1 and sensing target 2 as 4 m / s and 120 km / h respectively, then, according to the first mapping relationship, the first node can determine that 4 m / s uses Table 10 (i.e., speed granularity = 0.5 m / s) and 120 km / h uses Table 11 (i.e., speed granularity = 20 km / h). Further, based on Table 10, the first node can report index value 8, and based on Table 11, the first node can report index value 5.

[0250] For example, the first mapping relationship could be a mapping relationship between the measured velocity value and a velocity granularity / index value correspondence table. For instance, if the measured velocity value is 4 m / s, since 4 m / s is within the valid range of Table 10, it corresponds to Table 10. In this case, Table 10 can be used.

[0251] For example, the first mapping relationship can be a mapping relationship between the type of the perceived target and a table corresponding to the velocity granularity / index value. For example, non-maneuvering speed corresponds to Table 10, and maneuvering speed corresponds to Table 11. In this case, non-maneuvering speed can be represented by Table 10, and maneuvering speed can be represented by Table 11.

[0252] In some embodiments, the first node may report the corresponding first parameter (i.e., the velocity granularity corresponding to each index value) along with the index value. For example, the first node may report (8, 0) and (5, 1), where 0 is the first parameter corresponding to index value 8 and 1 is the first parameter corresponding to index value 5. In this embodiment, it is assumed that the velocity granularity corresponding to 0 is 0.5 m / s and the velocity granularity corresponding to 1 is 20 km / h.

[0253] Tables 10 and 11 provide the index value correspondence for the two velocity granularities.

[0254] Table 10 Index Value Correspondence Table (Velocity Granularity = 0.5 m / s)

[0255] Table 11 Index Value Correspondence Table (Velocity Granularity = 20km / h)

[0256] According to the method in this application embodiment, the receiving end (such as the first node) can receive a feedback granularity configuration, thereby allowing feedback of information related to Doppler frequency offset based on the feedback granularity configuration. In this way, finer feedback can be achieved with a limited number of bits.

[0257] It should be noted that the term "perception" in the embodiments of this application can also be replaced by any term that can represent the meaning of perception, such as positioning, ranging, velocity measurement, angle measurement, target imaging, target detection, target tracking, target recognition, etc.

[0258] The preferred embodiments of this application have been described in detail above with reference to the accompanying drawings. However, this application is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this application, various simple modifications can be made to the technical solutions of this application, and these simple modifications all fall within the protection scope of this application. For example, the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this application will not describe the various possible combinations separately. Furthermore, various different embodiments of this application can also be arbitrarily combined, as long as they do not violate the spirit of this application, they should also be considered as the content disclosed in this application. Moreover, without conflict, the various embodiments and / or the technical features in the various embodiments described in this application can be arbitrarily combined with the prior art, and the resulting technical solutions should also fall within the protection scope of this application.

[0259] It should also be understood that in the various method embodiments of this application, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application. Furthermore, in the embodiments of this application, the terms "downlink," "uplink," and "sidelink" are used to indicate the transmission direction of signals or data. "Downlink" indicates that the transmission direction of signals or data is a first direction from the site to the user equipment in the cell; "uplink" indicates that the transmission direction of signals or data is a second direction from the user equipment in the cell to the site; and "sidelink" indicates that the transmission direction of signals or data is a third direction from user equipment 1 to user equipment 2. For example, "downlink signal" indicates that the transmission direction of the signal is the first direction. Additionally, in the embodiments of this application, the term "and / or" is merely a description of the association relationship between related objects, indicating that three relationships can exist. Specifically, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0260] Based on the foregoing embodiments, this application provides a corresponding information transmission device.

[0261] Figure 5 is a schematic diagram of the structure of an information transmission device provided in an embodiment of this application, applied to a first node. As shown in Figure 5, the information transmission device 500 includes:

[0262] The first communication unit 501 is configured to receive first information, which is used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to send second information; the second information is used to indicate information related to Doppler frequency offset.

[0263] In some embodiments, the first granularity is related to the granularity used by the first node to send the second information, including: the first granularity is the granularity used by the first node to send the second information; or, the granularity used by the first node to send the second information is less than or equal to the first granularity.

[0264] In some embodiments, the first information is used to configure the value of the first granularity; or, the first information is used to configure the index value corresponding to the first granularity.

[0265] In some embodiments, the first granularity includes one or more of the following: a first velocity granularity; a first Doppler frequency offset granularity; and a first relative Doppler frequency offset granularity.

[0266] In some embodiments, the first velocity granularity includes one or more velocity granularities in a set of velocity granularities; and / or, the first Doppler frequency offset granularity includes one or more Doppler frequency offset granularities in a set of Doppler frequency offset granularities; and / or, the first relative Doppler frequency offset granularity includes one or more relative Doppler frequency offset granularities in a set of relative Doppler frequency offset granularities.

[0267] In some embodiments, the first information is further used to indicate the frequency band corresponding to the one or more Doppler frequency offset granularities.

[0268] In some embodiments, the ratio of two adjacent velocity granularities in the velocity granularity set is a power of 2; and / or, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is a power of 2; and / or, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is a power of 2.

[0269] In some embodiments, the ratio of two adjacent velocity granularities in the velocity granularity set is fixed or not fixed; and / or, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is fixed or not fixed; and / or, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is fixed or not fixed.

[0270] In some embodiments, the Doppler frequency offset granularity and / or the unit of Doppler frequency offset is related to the frequency point at which Doppler frequency offset sensing is performed.

[0271] In some embodiments, the first communication unit 501 is further configured to send a first parameter to the node receiving the second information, the first parameter being used to indicate the granularity at which the first node sends the second information.

[0272] In some embodiments, the first parameter is carried in the second information, or in other information besides the second information.

[0273] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate is related to the granularity at which the first node sends the second information.

[0274] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate is indicated by a second parameter.

[0275] In some embodiments, the second parameter is carried in the first information, or in other information besides the first information.

[0276] In some embodiments, the length of the second information is related to the granularity at which the first node sends the second information.

[0277] In some embodiments, the second information includes a first index value; wherein the first index value is used to indicate a first value range, and / or, the first index value corresponds to the first value range; the first value range is: the value range in which the information related to Doppler frequency offset obtained by the first node is sensed or measured.

[0278] In some embodiments, the first index value is one of one or more index values; wherein the one or more index values ​​correspond one-to-one with one or more value ranges, and the value ranges represent the range of values ​​related to Doppler frequency offset.

[0279] In some embodiments, the one or more value ranges are included in a first list, which is determined based on one or more of the following: the range of information related to Doppler frequency offset that the first node can indicate; the granularity at which the first node sends the second information; the value of the information related to Doppler frequency offset that the first node senses or measures; and the type of target sensed or measured by the first node.

[0280] In some embodiments, the first communication unit 501 is further configured to send the second information to a second node or a third node, wherein the second node is the node that sent the first information.

[0281] Figure 6 is a schematic diagram of the structure of the information transmission device provided in this application embodiment, applied to the second node. As shown in Figure 6, the information transmission device 600 includes:

[0282] The second communication unit 601 is configured to send first information to the first node, the first information being used to configure a first granularity; wherein the first granularity is related to the granularity used by the first node to send second information; the second information is used to indicate information related to Doppler frequency offset.

[0283] In some embodiments, the first granularity is related to the granularity used by the first node to send the second information, including: the first granularity is the granularity used by the first node to send the second information; or, the granularity used by the first node to send the second information is less than or equal to the first granularity.

[0284] In some embodiments, the first information is used to configure the value of the first granularity; or, the first information is used to configure the index value corresponding to the first granularity.

[0285] In some embodiments, the first granularity includes one or more of the following: a first velocity granularity; a first Doppler frequency offset granularity; and a first relative Doppler frequency offset granularity.

[0286] In some embodiments, the first velocity granularity includes one or more velocity granularities in a set of velocity granularities; and / or, the first Doppler frequency offset granularity includes one or more Doppler frequency offset granularities in a set of Doppler frequency offset granularities; and / or, the first relative Doppler frequency offset granularity includes one or more relative Doppler frequency offset granularities in a set of relative Doppler frequency offset granularities.

[0287] In some embodiments, the first information is further used to indicate the frequency band corresponding to the one or more Doppler frequency offset granularities.

[0288] In some embodiments, the ratio of two adjacent velocity granularities in the velocity granularity set is a power of 2; and / or, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is a power of 2; and / or, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is a power of 2.

[0289] In some embodiments, the ratio of two adjacent velocity granularities in the velocity granularity set is fixed or not fixed; and / or, the ratio of two adjacent Doppler frequency offset granularities in the Doppler frequency offset granularity set is fixed or not fixed; and / or, the ratio of two adjacent relative Doppler frequency offset granularities in the relative Doppler frequency offset granularity set is fixed or not fixed.

[0290] In some embodiments, the Doppler frequency offset granularity and / or the unit of Doppler frequency offset is related to the frequency point at which Doppler frequency offset sensing is performed.

[0291] In some embodiments, the second communication unit 601 is further configured to receive a first parameter sent by the first node, the first parameter being used to indicate the granularity at which the first node sends the second information.

[0292] In some embodiments, the first parameter is carried in the second information, or in other information besides the second information.

[0293] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate is related to the granularity at which the first node sends the second information.

[0294] In some embodiments, the range of information related to Doppler frequency offset that the first node can indicate is indicated by a second parameter.

[0295] In some embodiments, the second parameter is carried in the first information, or in other information besides the first information.

[0296] In some embodiments, the length of the second information is related to the granularity at which the first node sends the second information.

[0297] In some embodiments, the second information includes a first index value; wherein the first index value is used to indicate a first value range, and / or, the first index value corresponds to the first value range; the first value range is: the value range in which the information related to Doppler frequency offset obtained by the first node is sensed or measured.

[0298] In some embodiments, the first index value is one of one or more index values; wherein the one or more index values ​​correspond one-to-one with one or more value ranges, and the value ranges represent the range of values ​​related to Doppler frequency offset.

[0299] In some embodiments, the one or more value ranges are included in a first list, which is determined based on one or more of the following: the range of information related to Doppler frequency offset that the first node can indicate; the granularity at which the first node sends the second information; the value of the information related to Doppler frequency offset that the first node senses or measures; and the type of target sensed or measured by the first node.

[0300] In some embodiments, the second communication unit 601 is further configured to receive the second information sent by the first node.

[0301] Those skilled in the art should understand that the description of the information transmission device in the embodiments of this application can be understood with reference to the description of the information transmission method in the embodiments of this application.

[0302] Figure 7 is a schematic structural diagram of a communication device provided in an embodiment of this application. The communication device can be a first node or a second node. The communication device 700 shown in Figure 7 includes a processor 710, which can call and run computer programs from memory to implement the methods in the embodiments of this application.

[0303] Optionally, as shown in FIG7, the communication device 700 may further include a memory 720. The processor 710 may retrieve and run computer programs from the memory 720 to implement the methods described in the embodiments of this application.

[0304] The memory 720 can be a separate device independent of the processor 710, or it can be integrated into the processor 710.

[0305] Optionally, as shown in FIG7, the communication device 700 may further include a transceiver 730, and the processor 710 may control the transceiver 730 to communicate with other devices. Specifically, it may send information or data to other devices or receive information or data sent by other devices.

[0306] The transceiver 730 may include a transmitter and a receiver. The transceiver 730 may further include antennas, and the number of antennas may be one or more.

[0307] Optionally, the communication device 700 may specifically be the first node in the embodiments of this application, and the communication device 700 may implement the corresponding processes implemented by the first node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0308] Optionally, the communication device 700 may specifically be the second node in the embodiments of this application, and the communication device 700 may implement the corresponding processes implemented by the second node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0309] Figure 8 is a schematic structural diagram of a chip according to an embodiment of this application. The chip 800 shown in Figure 8 includes a processor 810, which can call and run computer programs from memory to implement the methods in the embodiments of this application.

[0310] Optionally, as shown in FIG8, chip 800 may further include memory 820. Processor 810 can retrieve and run computer programs from memory 820 to implement the methods in the embodiments of this application.

[0311] The memory 820 can be a separate device independent of the processor 810, or it can be integrated into the processor 810.

[0312] Optionally, the chip 800 may also include an input interface 830. The processor 810 can control the input interface 830 to communicate with other devices or chips; specifically, it can acquire information or data sent by other devices or chips.

[0313] Optionally, the chip 800 may also include an output interface 840. The processor 810 can control the output interface 840 to communicate with other devices or chips, specifically, to output information or data to other devices or chips.

[0314] Optionally, the chip can be applied to the first node in the embodiments of this application, and the chip can implement the corresponding processes implemented by the first node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0315] Optionally, the chip can be applied to the second node in the embodiments of this application, and the chip can implement the corresponding processes implemented by the second node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0316] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0317] This application also provides a computer storage medium storing one or more programs, which can be executed by one or more processors to implement the methods in this application.

[0318] Figure 9 is a schematic block diagram of a communication system provided in an embodiment of this application. As shown in Figure 9, the communication system 900 includes a first node 910 and a second node 920.

[0319] The first node 910 can be used to implement the corresponding functions implemented by the first node in the above method, and the second node 920 can be used to implement the corresponding functions implemented by the second node in the above method. For the sake of brevity, they will not be described in detail here.

[0320] Optionally, the communication system 900 may also include a third node for implementing the corresponding functions implemented by the third node in the above method. For the sake of brevity, it will not be described in detail here.

[0321] It should be understood that the processor in the embodiments of this application may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor described above can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0322] It is understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DR RAM). It should be noted that the memory used in the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0323] It should be understood that the above-described memory is exemplary and not a limiting description. For example, the memory in the embodiments of this application may also be static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DR RAM), etc. That is to say, the memory in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.

[0324] This application also provides a computer-readable storage medium for storing computer programs.

[0325] Optionally, the computer-readable storage medium can be applied to the first node in the embodiments of this application, and the computer program causes the computer to execute the corresponding processes implemented by the first node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0326] Optionally, the computer-readable storage medium can be applied to the second node in the embodiments of this application, and the computer program causes the computer to execute the corresponding processes implemented by the second node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0327] This application also provides a computer program product, including computer program instructions.

[0328] Optionally, the computer program product can be applied to the first node in the embodiments of this application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the first node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0329] Optionally, the computer program product can be applied to the second node in the embodiments of this application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the second node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0330] This application also provides a computer program.

[0331] Optionally, the computer program can be applied to the first node in the embodiments of this application. When the computer program is run on the computer, it causes the computer to execute the corresponding processes implemented by the first node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0332] Optionally, the computer program can be applied to the second node in the embodiments of this application. When the computer program is run on the computer, it causes the computer to execute the corresponding processes implemented by the second node in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0333] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0334] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0335] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0336] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0337] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0338] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0339] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

An information transmission method, applied to a first node, the method comprising: Receive first information, which is used to configure a first granularity; The first granularity is related to the granularity used by the first node to send the second information; the second information is used to indicate information related to Doppler frequency offset. According to the method of claim 1, wherein, The first granularity is related to the granularity used by the first node to send the second information, including: The first granularity is the granularity used by the first node when sending the second information; or, The granularity at which the first node sends the second information is less than or equal to the first granularity. The method according to claim 1 or 2, wherein, The first information is used to configure the value of the first granularity; or, The first information is used to configure the index value corresponding to the first granularity. The method according to any one of claims 1 to 3, wherein, The first particle size includes one or more of the following: First velocity particle size; First Doppler frequency offset granularity; First relative Doppler frequency offset granularity. The method according to claim 4, wherein, The first velocity granularity includes: one or more velocity granularities from the set of velocity granularities; and / or, The first Doppler frequency offset granularity includes: one or more Doppler frequency offset granularities from the Doppler frequency offset granularity set; and / or, The first relative Doppler frequency offset granularity includes one or more relative Doppler frequency offset granularities from the set of relative Doppler frequency offset granularities. The method according to claim 5, wherein, The first information is also used to indicate the frequency band corresponding to the one or more Doppler frequency offset granularities. The method according to claim 5 or 6, wherein, In the set of velocity granularities, the ratio of two adjacent velocity granularities is an integer power of 2; and / or, In the set of Doppler frequency offset granularities, the ratio of two adjacent Doppler frequency offset granularities is an integer power of 2; and / or, In the set of relative Doppler frequency offset granularities, the ratio of two adjacent relative Doppler frequency offset granularities is an integer power of 2. The method according to any one of claims 5 to 7, wherein, In the set of velocity granularities, the ratio of two adjacent velocity granularities is fixed or variable; and / or, In the set of Doppler frequency offset granularities, the ratio of two adjacent Doppler frequency offset granularities is fixed or not fixed; and / or, In the set of relative Doppler frequency offset granularities, the ratio of two adjacent relative Doppler frequency offset granularities is fixed or not fixed. The method according to any one of claims 1 to 8, wherein, The Doppler frequency offset granularity and / or the unit of Doppler frequency offset are related to the frequency point where Doppler frequency offset sensing is performed. The method according to any one of claims 1 to 9, wherein, The method further includes: Send a first parameter to the node receiving the second information. The first parameter is used to indicate the granularity at which the first node sends the second information. The method according to claim 10, wherein, The first parameter is carried in the second information, or it is carried in other information besides the second information. The method according to any one of claims 1 to 11, wherein, The range of information related to Doppler frequency offset that the first node can indicate is related to the granularity at which the first node sends the second information. The method according to any one of claims 1 to 12, wherein, The range of information related to Doppler frequency offset that the first node can indicate is indicated by the second parameter. The method according to claim 13, wherein, The second parameter is carried in the first information, or in other information besides the first information. The method according to any one of claims 1 to 14, wherein, The length of the second information is related to the granularity at which the first node sends the second information. The method according to any one of claims 1 to 15, wherein, The second information includes the first index value; Wherein, the first index value is used to indicate the first value range, and / or, the first index value corresponds to the first value range; the first value range is: the value range in which the information related to Doppler frequency offset obtained by the first node is sensed or measured. The method according to claim 16, wherein, The first index value is one of one or more index values; The one or more index values ​​correspond one-to-one with one or more value ranges, and the value ranges represent the range of values ​​related to Doppler frequency offset. The method according to claim 17, wherein, The one or more value ranges are included in a first list, which is determined based on one or more of the following: The range of information related to Doppler frequency offset that the first node can indicate; The granularity at which the first node sends the second information; The value of the information related to Doppler frequency offset obtained by the first node through sensing or measurement; The type of target sensed or measured by the first node. The method according to any one of claims 1 to 18, wherein, The method further includes: The second information is sent to a second node or a third node, where the second node is the node that sent the first information. An information transmission method, applied to a second node, the method comprising: Send first information to the first node, the first information being used to configure the first granularity; The first granularity is related to the granularity used by the first node to send the second information; the second information is used to indicate information related to Doppler frequency offset. The method according to claim 20, wherein, The first granularity is related to the granularity used by the first node to send the second information, including: The first granularity is the granularity used by the first node when sending the second information; or, The granularity at which the first node sends the second information is less than or equal to the first granularity. The method according to claim 20 or 21, wherein, The first information is used to configure the value of the first granularity; or, The first information is used to configure the index value corresponding to the first granularity. The method according to any one of claims 20 to 22, wherein, The first particle size includes one or more of the following: First velocity particle size; First Doppler frequency offset granularity; First relative Doppler frequency offset granularity. The method according to claim 23, wherein, The first velocity granularity includes: one or more velocity granularities from the set of velocity granularities; and / or, The first Doppler frequency offset granularity includes: one or more Doppler frequency offset granularities from the Doppler frequency offset granularity set; and / or, The first relative Doppler frequency offset granularity includes one or more relative Doppler frequency offset granularities from the set of relative Doppler frequency offset granularities. The method according to claim 24, wherein, The first information is also used to indicate the frequency band corresponding to the one or more Doppler frequency offset granularities. The method according to claim 24 or 25, wherein, In the set of velocity granularities, the ratio of two adjacent velocity granularities is an integer power of 2; and / or, In the set of Doppler frequency offset granularities, the ratio of two adjacent Doppler frequency offset granularities is an integer power of 2; and / or, In the set of relative Doppler frequency offset granularities, the ratio of two adjacent relative Doppler frequency offset granularities is an integer power of 2. The method according to any one of claims 24 to 26, wherein, In the set of velocity granularities, the ratio of two adjacent velocity granularities is fixed or variable; and / or, In the set of Doppler frequency offset granularities, the ratio of two adjacent Doppler frequency offset granularities is fixed or not fixed; and / or, In the set of relative Doppler frequency offset granularities, the ratio of two adjacent relative Doppler frequency offset granularities is fixed or not fixed. The method according to any one of claims 20 to 27, wherein, The Doppler frequency offset granularity and / or the unit of Doppler frequency offset are related to the frequency point where Doppler frequency offset sensing is performed. The method according to any one of claims 20 to 28, wherein, The method further includes: The system receives a first parameter sent by the first node, which indicates the granularity at which the first node sends the second information. The method according to claim 29, wherein, The first parameter is carried in the second information, or it is carried in other information besides the second information. The method according to any one of claims 20 to 30, wherein, The range of information related to Doppler frequency offset that the first node can indicate is related to the granularity at which the first node sends the second information. The method according to any one of claims 20 to 31, wherein, The range of information related to Doppler frequency offset that the first node can indicate is indicated by the second parameter. The method according to claim 32, wherein, The second parameter is carried in the first information, or in other information besides the first information. The method according to any one of claims 20 to 33, wherein, The length of the second information is related to the granularity at which the first node sends the second information. The method according to any one of claims 20 to 34, wherein, The second information includes the first index value; Wherein, the first index value is used to indicate the first value range, and / or, the first index value corresponds to the first value range; the first value range is: the value range in which the information related to Doppler frequency offset obtained by the first node is sensed or measured. The method according to claim 35, wherein, The first index value is one of one or more index values; The one or more index values ​​correspond one-to-one with one or more value ranges, and the value ranges represent the range of values ​​related to Doppler frequency offset. The method according to claim 36, wherein, The one or more value ranges are included in a first list, which is determined based on one or more of the following: The range of information related to Doppler frequency offset that the first node can indicate; The granularity at which the first node sends the second information; The value of the information related to Doppler frequency offset obtained by the first node through sensing or measurement; The type of target sensed or measured by the first node. The method according to any one of claims 20 to 37, wherein, The method further includes: Receive the second information sent by the first node. An information transmission device is applied to a first node, the device comprising: The first communication unit is configured to receive first information, wherein the first information is used to configure a first granularity. The first granularity is related to the granularity used by the first node to send the second information; the second information is used to indicate information related to Doppler frequency offset. An information transmission device is applied to a second node, the device comprising: The second communication unit is configured to send first information to the first node, wherein the first information is used to configure a first granularity. The first granularity is related to the granularity used by the first node to send the second information; the second information is used to indicate information related to Doppler frequency offset. A communication device, the communication device comprising: Memory, used to store computer programs; A processor, connected to the memory, is configured to call and run the computer program from the memory to implement the method as described in any one of claims 1 to 19, or the method as described in any one of claims 20 to 38; A transceiver is used to receive and send information when exchanging information with other devices. A chip, the chip comprising: A processor for retrieving and running a computer program from memory, causing a device having the chip mounted to perform the method as claimed in any one of claims 1 to 19, or the method as claimed in any one of claims 20 to 38; A transceiver is used to receive and send information during the exchange of information with a device or chip. A computer-readable storage medium for storing a computer program that causes a computer to perform the method as claimed in any one of claims 1 to 19, or the method as claimed in any one of claims 20 to 38.

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