CN117858119A

CN117858119A - Data collection and processing method, device and readable storage medium

Info

Publication number: CN117858119A
Application number: CN202211215851.9A
Authority: CN
Inventors: 周通
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2022-09-30
Filing date: 2022-09-30
Publication date: 2024-04-09

Abstract

The application discloses a data collection method, equipment and a readable storage medium, which belong to the technical field of communication, and the method comprises the following steps: the method comprises the steps that first equipment receives first information sent by second equipment, wherein the first information comprises a first identifier and a virtual beam identifier; the first device generates a data set according to the first information; the first device establishes an association relationship between the data set and the first identifier; the first identifier is an identifier of a first relationship, and the first relationship is a mapping relationship between beam pointing of the second device and the virtual beam identifier.

Description

Data collection and processing method, device and readable storage medium

Technical Field

The application belongs to the technical field of communication, and particularly relates to a data collection and processing method, equipment and a readable storage medium.

Background

In millimeter wave wireless communication, a plurality of analog beams are configured at both communication transmitting and receiving ends (e.g., a base station and a UE). The channel quality measured at different transmit and receive analog beams varies for the same UE. How to quickly and accurately find the transmit-receive beam group with the highest channel quality from all possible transmit-receive analog beam combinations is a key to influencing the transmission quality. After introducing an artificial intelligence (Artificial Intelligence, AI) neural network model, the terminal can effectively predict the receiving and transmitting analog beam with the highest channel quality based on the historical channel quality information and report the receiving and transmitting analog beam to a network side.

In beam pair prediction, the beam pointing belongs to more sensitive information. It is currently unclear how to achieve data acquisition without exposing beam pointing.

Disclosure of Invention

The embodiment of the application provides a data collection and processing method, equipment and a readable storage medium, which can solve the problem of how to realize data collection without exposing beam pointing.

In a first aspect, a data collection method is provided, including:

the method comprises the steps that first equipment receives first information sent by second equipment, wherein the first information comprises a first identifier and a virtual beam identifier;

the first device generates a data set according to the first information;

the first device establishes an association relationship between the data set and the first identifier;

the first identifier is an identifier of a first relationship, and the first relationship is a mapping relationship between beam pointing of the second device and the virtual beam identifier.

In a second aspect, a data processing method is provided, including:

the second device maps the beam direction of the second device to a virtual beam identifier according to the first relation;

the second device sends first information to the first device, wherein the first information comprises a first identifier and the virtual beam identifier;

In a third aspect, there is provided a data collection apparatus for application to a first device, the apparatus comprising:

the first receiving module is used for receiving first information sent by the second device by the first device, wherein the first information comprises a first identifier and a virtual beam identifier;

the generation module is used for generating a data set according to the first information by the first equipment;

the establishing module is used for the first equipment to establish the association relation between the data set and the first identifier;

wherein the first identifier is an identifier of a first relationship, and the first relationship is a mapping relationship between the beam pointing of the second device and the virtual beam identifier

In a fourth aspect, there is provided a data processing apparatus for use with a second device, comprising:

the mapping module is used for mapping the beam direction of the second equipment to the virtual beam identifier according to the first relation by the second equipment;

the second sending module is used for sending first information to the first equipment by the second equipment, wherein the first information comprises a first identifier and the virtual beam identifier;

In a fifth aspect, there is provided a communication device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method of the first or second aspect.

In a sixth aspect, a communication device is provided, comprising a processor and a communication interface, wherein

When the communication equipment is used as first equipment, the communication interface is used for the first equipment to receive first information sent by second equipment, and the first information comprises a first identifier and a virtual beam identifier;

the processor is used for generating a data set by the first device according to the first information;

the processor is used for establishing an association relation between the data set and the first identifier by the first device;

When the communication equipment is used as second equipment, the processor is used for mapping the beam direction of the second equipment to the virtual beam identifier according to the first relation by the second equipment;

The communication interface is used for the second equipment to send first information to the first equipment, wherein the first information comprises a first identifier and the virtual beam identifier;

In a seventh aspect, a communication system is provided, comprising: a first device operable to perform the steps of the method as described in the first aspect, and a second device operable to perform the steps of the method as described in the second aspect.

In an eighth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor, performs the steps of the method according to the first aspect or performs the steps of the method according to the second aspect.

In a ninth aspect, there is provided a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a program or instructions, implementing the steps of the method as described in the first aspect, or implementing the steps of the method as described in the second aspect.

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

In the embodiment of the application, a first device receives first information which is sent by a second device and contains a first identifier and a virtual beam identifier, and generates a data set according to the first information; establishing an association relation between the data set and the first identifier; the first identifier is an identifier of a first relation, and the first relation is a mapping relation between beam pointing of the second device and the virtual beam identifier. In this way, specific beam directions are mapped to virtual beam identifications, and the virtual beam identifications are used as input, output or tag data for subsequent AI model training and/or reasoning, so that data acquisition is realized without exposing the beam directions.

Drawings

Fig. 1 is a block diagram of a wireless communication system to which embodiments of the present application are applicable;

FIG. 2 is a schematic flow chart of a data collection method according to an embodiment of the present disclosure;

FIG. 3 is a schematic flow chart of a data processing method according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a data collecting device according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a data processing apparatus according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a communication device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of a terminal provided in an embodiment of the present application;

fig. 8 is one of schematic structural diagrams of a network device according to an embodiment of the present application;

fig. 9 is a second schematic structural diagram of a network device according to an embodiment of the present application.

Detailed Description

Technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the terms "first" and "second" are generally intended to be used in a generic sense and not to limit the number of objects, for example, the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/" generally means a relationship in which the associated object is an "or" before and after.

It is noted that the techniques described in embodiments of the present application are not limited to long term evolution (Long Term Evolution, LTE)/LTE evolution (LTE-Advanced, LTE-a) systems, but may also be used in other wireless communication systems, such as code division multiple access (Code Division Multiple Access, CDMA), time division multiple access (Time Division Multiple Access, TDMA), frequency division multiple access (Frequency Division Multiple Access, FDMA), orthogonal frequency division multiple access (Orthogonal Frequency Division Multiple Access, OFDMA), single carrier frequency division multiple access (Single-carrier Frequency Division Multiple Access, SC-FDMA), and other systems. The terms "system" and "network" in embodiments of the present application are often used interchangeably, and the techniques described may be used for both the above-mentioned systems and radio technologies, as well as other systems and radio technologies. The following description describes a New air interface (NR) system for purposes of example and uses NR terminology in much of the description that follows, but these techniques are also applicable to applications other than NR system applications, such as generation 6 (6) ^th Generation, 6G) communication system.

Fig. 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable. The wireless communication system includes a terminal 11 and a network device 12. The terminal 11 may be a mobile phone, a tablet (Tablet Personal Computer), a Laptop (Laptop Computer) or a terminal-side Device called a notebook, a personal digital assistant (Personal Digital Assistant, PDA), a palm top, a netbook, an ultra-mobile personal Computer (ultra-mobile personal Computer, UMPC), a mobile internet appliance (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/Virtual Reality (VR) Device, a robot, a Wearable Device (weather Device), a vehicle-mounted Device (VUE), a pedestrian terminal (PUE), a smart home (home Device with a wireless communication function, such as a refrigerator, a television, a washing machine, or a furniture), a game machine, a personal Computer (personal Computer, PC), a teller machine, or a self-service machine, and the Wearable Device includes: intelligent wrist-watch, intelligent bracelet, intelligent earphone, intelligent glasses, intelligent ornament (intelligent bracelet, intelligent ring, intelligent necklace, intelligent anklet, intelligent foot chain etc.), intelligent wrist strap, intelligent clothing etc.. Note that, the specific type of the terminal 11 is not limited in the embodiment of the present application. The network-side device 12 may comprise an access network device or a core network device, wherein the access network device 12 may also be referred to as a radio access network device, a radio access network (Radio Access Network, RAN), a radio access network function or a radio access network element. Access network device 12 may include a base station, a WLAN access point, a WiFi node, or the like, which may be referred to as a node B, an evolved node B (eNB), an access point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a basic service set (Basic Service Set, BSS), an extended service set (Extended Service Set, ESS), a home node B, a home evolved node B, a transmission and reception point (Transmitting Receiving Point, TRP), or some other suitable terminology in the art, and the base station is not limited to a particular technical vocabulary so long as the same technical effect is achieved, and it should be noted that in the embodiments of the present application, only a base station in an NR system is described as an example, and the specific type of the base station is not limited. The core network device may include, but is not limited to, at least one of: core network nodes, core network functions, mobility management entities (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), user plane functions (User Plane Function, UPF), policy control functions (Policy Control Function, PCF), policy and charging rules function units (Policy and Charging Rules Function, PCRF), edge application service discovery functions (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data repository (Unified Data Repository, UDR), home subscriber server (Home Subscriber Server, HSS), centralized network configuration (Centralized network configuration, CNC), network storage functions (Network Repository Function, NRF), network opening functions (Network Exposure Function, NEF), local NEF (or L-NEF), binding support functions (Binding Support Function, BSF), application functions (Application Function, AF), and the like. In the embodiment of the present application, only the core network device in the NR system is described as an example, and the specific type of the core network device is not limited.

The data collection method provided by the embodiment of the application is described in detail below by some embodiments and application scenarios thereof with reference to the accompanying drawings.

Referring to fig. 2, an embodiment of the present application provides a data collection method, where an execution body of the method is a first device, and the first device may be a terminal, an access network device, or a core network device, and the method includes:

step 201: the method comprises the steps that first equipment receives first information sent by second equipment, wherein the first information comprises a first identifier and a virtual beam identifier;

step 202: the first device generates a data set according to the first information;

step 203: the first device establishes an association relationship between the data set and the first identifier;

the first identifier is an identifier of a first relation, and the first relation is a mapping relation between beam pointing of the second device and the virtual beam identifier.

In the embodiment of the application, the first device is a device for performing data collection, and the collected data user performs training or reasoning of an AI model later, and the first device may be referred to as a data collection device; the second device cooperates with the first device to provide the information of beam pointing to the first device, and for data security, the information of beam pointing needs to be subjected to privacy processing at the second device and then provided to the first device, and the second device can be called as the device for privacy processing of the information of beam pointing.

In the technical solution of the present application, the privacy mode for beam pointing is: the processing capability of the virtual beam identification is identified by the first identification, namely, only the interaction of the virtual beam identification is carried out between the first equipment and the second equipment, but not the interaction of the specific real beam pointing. And establishing an association relation between the data set and the first identifier, so that the privacy method is associated with the data set, and when AI mode training or reasoning is carried out subsequently, the corresponding privacy method can be adopted for data processing on input, output or tag data.

In one possible implementation, the first device generates a data set according to the first information, including:

the first device generates a data set according to the virtual beam identifications in the first information corresponding to the same first identification.

In the embodiment of the application, considering that the first device may acquire data from one or more second devices, for a scenario of acquiring data from the plurality of second devices, data may be combined, so as to obtain a data set; specifically, the first information corresponding to the same first identifier refers to: the first device acquires multiple groups of virtual beam identifiers from multiple second devices, the virtual beam identifiers are all mapped based on specific beam directions, the multiple groups of virtual beam identifiers are mapped in the same mode, namely the same mapping rule is followed, and then the first device can combine the multiple groups of virtual beam identifiers to obtain a total data set, so that unified processing is facilitated.

In one possible implementation, before the first device receives the first information sent by the second device, the method further includes:

the first device sends second information and the first capability to the second device;

the second information is used for requesting the second device to provide information of beam pointing, and the first capability is the capability of the first device to process virtual beam identification.

In this embodiment of the present application, before the second device provides the virtual beam identifier to the first device, the first device needs to send a request to the second device first to request the second device to provide data, and meanwhile, the first device needs to tell the second device about the capability of processing the virtual beam identifier itself, so as to ensure that after the subsequent second device provides the virtual beam identifier, the first device can perform processing.

In one possible implementation, the first capability includes one or more of the following:

(1) Whether the first device supports processing power for virtual beam identification;

(2) The maximum number of virtual beam identities that the first device can support.

In a possible implementation manner, in the case that the first device is a terminal and the second device is a network device, the first identifier is carried in a measurement configuration, and the measurement configuration is associated with a reference signal resource;

in the case that the first device is a network device and the second device is a terminal, the first identity is carried in a measurement report, which is associated with a reference signal resource and a beam quality.

Referring to fig. 3, an embodiment of the present application provides a data processing method, where an execution body of the method is a second device, and the second device may be a terminal, an access network device, or a core network device, and the method includes:

Step 301: the second device maps the beam pointing of the second device to the virtual beam identification according to the first relationship;

step 302: the second device sends first information to the first device, wherein the first information comprises a first identifier and a virtual beam identifier;

In the embodiment of the application, the first device is a device for performing data collection, and the collected data user performs training or reasoning of an AI model later, and the first device may be referred to as a data collection device; the second device cooperates with the first device to provide the information of beam pointing to the first device, and in view of data security, the information of beam pointing needs to be subjected to privacy processing at the second device and then provided to the first device, and the second device can be called as the device for privacy processing of the information of beam pointing.

In the technical solution of the present application, the privacy mode for beam pointing is: mapping the beam directions into virtual beam identifications, wherein the specific mapping relation is identified by a first identification, namely only the interaction of the virtual beam identifications is carried out between the first equipment and the second equipment, and the specific real beam directions are not interacted.

In one possible implementation, before the second device sends the first information to the first device, the method further includes:

the second equipment receives second information and first capability sent by the first equipment;

In the actual application scenario, the specific device may be used as a data collecting device or a device for privacy processing of beam pointing information, in other words, the device may be used as a first device to perform the processing operation related to fig. 2 or be used as a second device to perform the processing operation related to fig. 3;

for example: a pair of base station and terminal, one case being: the base station is used as a first device, the terminal is used as a second device, specifically, the terminal sends a virtual beam identifier to the base station, and then the base station generates a data set according to the virtual beam identifier; another case is: the terminal is used as a first device, the base station is used as a second device, and the base station specifically transmits the virtual beam identification to the terminal, and then the terminal generates a data set according to the virtual beam identification.

The technical scheme of the present application is described below with reference to specific embodiments:

embodiment one: mapping method 1 of first relation

Assuming that the first device is a UE and the second device is a base station.

The first relation mapping relation at the base station side is shown in table 1:

TABLE 1

Beam horizontal pointing	Beam vertical pointing	Virtual beam identification
			-70	22.5	0
-70	110.5	1
			-20	22.5	2
-20	110.5	3
			20	22.5	4
20	110.5	5
			70	22.5	6
70	110.5	7

The base station side can determine the first relation mapping according to the first relation mapping identifier (i.e. the first identifier).

For example: if the base station uses transmit beam 1 (horizontal pointing at-20 and vertical pointing at 110.5), then the transmitted virtual beam is identified as 3.

In this embodiment, the horizontal direction and the vertical direction corresponding to one beam are used as a set of information corresponding to one virtual beam identifier.

Embodiment two: mapping method 2 of first relation

Assuming that the first device is a UE and the second device is a base station.

The first relation mapping relation at the base station side comprises two mapping tables, namely a horizontal beam pointing mapping table (table 2) and a vertical beam pointing mapping table (table 3).

TABLE 2

Beam horizontal pointing	Virtual beam identification 1
		-70	0
-20	1
		20	2
70	3

TABLE 3 Table 3

Beam vertical pointing	Virtual beam identification 2
		22.5	0
110.5	1

If the base station uses transmit beam 1 (horizontal pointing at-20 and vertical pointing at 110.5), then the virtual beam is identified as (1, 1).

Embodiment III: the first device is a base station (data collection) and the second device is a UE (beam privacy)

Step 1: the base station sends the second information and the first capability to the UE

The second information is auxiliary information, namely data acquisition requirement, and includes beam pointing information. The method specifically comprises the steps of horizontal beam pointing, vertical beam pointing, acquisition number identical to the number of reference signal resources, and 8 reference signal resources are needed to be fed back to the UE to receive beam pointing information corresponding to the 8 reference signal resources.

The first capability is the base station's capability to handle virtual beam identification. For example, data acquisition and sample generation capabilities of virtualized beam identification may be supported.

Step 2: the UE determines a privacy method, e.g. mapping beam pointing to virtual beam indicators, based on the second information and the first capability. Mapping the orientations of the 8 received beams results in 8 virtual beam identifications.

Step 3: the UE transmits the beam pointing map identity (i.e., the first identity) and the 8 virtual beam identities to the base station. For example, in measurement reporting, the (beam pointing map identity and virtual beam identity) is associated with the (reference signal resource and beam quality). The beam pointing map identity and the virtual beam identity may be a one-to-many mapping, and the beam pointing map identity and (reference signal resource and beam quality) may be a one-to-many mapping, and the (virtual beam identity) and (reference signal resource and beam quality) are one-to-one mapping.

Step 4: the base station combines data from multiple UEs or the same UE with the same beam pointing map identity to generate a data set. The base station associates the generated data set with the beam pointing map identity. Optionally, the data set may also include mapping information of beam directions at the base station side, such as virtual beam identification at the base station side. The identity of the mapping method is noted as a second identity.

Step 5: the base station generates an AI model based on the data set training and associates the AI model with the first identity.

Step 6: and the base station transmits the association relation between the AI model and the first identifier to the UE participating in training, and the UE stores the association relation in the UE or a UE server. Optionally, if the data set in step 4 also includes mapping information of beam information on the base station side, the base station stores the association relationship between the AI model and the second identifier in the base station or in the base station server.

Embodiment four: the first device is a UE (data collection) and the second device is a base station (beam privacy)

Step 1: the UE sends the second information and the first capability to the base station

The second information is auxiliary information, namely acquisition requirement, and includes beam pointing information. The method specifically comprises the steps of horizontal beam pointing and vertical beam pointing, wherein the acquisition number is consistent with the number of applied reference signal resources, and if 8 reference signal resources exist, the 8 reference signal resources need to be transmitted to correspond to base stations to transmit beam pointing information.

The first capability is the UE's capability to handle virtual beam identification. For example, data acquisition and sample generation capabilities of virtualized beam identification may be supported.

Step 2: the base station determines a privacy method, e.g. mapping beam pointing to virtual beam indicators, based on the second information and the first capability. Mapping the orientations of the 8 transmit beams results in 8 virtual beam identifications.

Step 3: the base station transmits the beam pointing map identity (i.e., the first identity) and 8 virtual beam identities to the UE. For example, in a measurement configuration, the beam pointing map identity and the virtual beam identity are associated with reference signal resources.

The beam pointing map identity and the virtual beam identity may be a one-to-many mapping, and the beam pointing map identity and (reference signal resource) may be a one-to-many mapping, and the (virtual beam identity) and (reference signal resource) may be a one-to-one mapping.

Step 4: the UE combines data from multiple base stations or the same base station with the same beam pointing map identity to generate a data set. The UE associates the generated data set with the beam pointing map identity. Optionally, the data set may also include mapping information of the UE side beam pointing, such as virtual beam identification at the UE side. The identity of the mapping method is noted as a second identity.

Step 5: the UE generates an AI model based on the data set training and associates the AI model with the first identity.

Step 6: and the UE transmits the association relation between the AI model and the first identifier to the base station participating in training, and the base station stores the association relation in the base station or a base station server. Optionally, if the data set in step 4 also includes mapping information of UE-side beam information, the UE stores the association relationship between the AI model and the second identifier in the UE or the UE server.

Fifth embodiment: the first device is a core network device (data collection) and the second device is a UE (beam privacy)

Step 1: the core network equipment sends the second information and the first capability to the UE

The second information is auxiliary information, namely acquisition requirement, and includes beam pointing information. The method specifically comprises the steps of horizontal beam pointing, vertical beam pointing, acquisition number identical to the number of reference signal resources, and 8 reference signal resources are needed to be fed back to the UE to receive beam pointing information corresponding to the 8 reference signal resources.

The first capability is the capability of the core network device to handle virtual beam identification. For example, data acquisition and sample generation capabilities of virtualized beam identification may be supported.

Step 3: the UE sends the beam pointing mapping identity (i.e. the first identity) and the 8 virtual beam identities to the base station, which forwards the beam pointing mapping identity (i.e. the first identity) to the core network device. For example, in the measurement report sent to the base station (beam pointing map identity and virtual beam identity) is associated with (reference signal resources and beam quality).

The beam pointing map identity and the virtual beam identity may be a one-to-many mapping, and the beam pointing map identity and (reference signal resource and beam quality) may be a one-to-many mapping, and the (virtual beam identity) and (reference signal resource and beam quality) are one-to-one mapping.

Step 4: the core network device combines data from multiple UEs or the same UE with the same beam pointing map identity to generate a data set. The core network device associates the generated data set with the beam pointing map identity. Optionally, the data set may also include mapping information of beam directions at the base station side, such as virtual beam identification at the base station side. The identity of the mapping method is noted as a second identity.

Step 5: the core network device generates an AI model based on the data set training and associates the AI model with the first identity. Optionally, the data set may also include mapping process information of the beam information at the base station side, such as virtual beam identification at the base station side. The core network device associates the AI model with the first identity and the second identity and stores it in the home core network device or in another core network device.

Step 6: the core network equipment sends the association relation between the AI model and the first identifier to the UE participating in training, and the UE stores the association relation in the UE or a UE server. Optionally, if the data set in step 4 also includes mapping information of beam information on the base station side, the core network device sends the association relationship between the AI model and the second identifier to the base station participating in training, and the base station stores the association relationship between the AI model and the second identifier in the base station or the base station server. Example six: the first device is a UE (data collection) and the second device is a core network device (beam privacy)

Step 1: the UE sends the second information and the first capability to the core network equipment

The second information is auxiliary information, namely data acquisition requirement, and beam pointing information is included. The method specifically comprises the steps of horizontal beam pointing and vertical beam pointing, wherein the acquisition number is consistent with the number of applied reference signal resources, and if 8 reference signal resources exist, the 8 reference signal resources need to be transmitted to correspond to base stations to transmit beam pointing information.

Step 2: the core network device determines a privacy method, e.g. mapping beam pointing to virtual beam indicators, based on the second information and the first capability. Mapping the orientations of the 8 transmit beams results in 8 virtual beam identifications.

Step 3: the core network device transmits the beam pointing map identity (i.e., the first identity) and 8 virtual beam identities to the UE through the base station. For example, in a measurement configuration, the beam pointing map identity and the virtual beam identity are associated with reference signal resources.

Step 4: the UE combines data from multiple core network devices or the same core network device that have the same beam pointing map identity together to generate a data set. The UE associates the generated data set with the beam pointing map identity. Optionally, the data set may also include mapping information of the UE side beam pointing, such as virtual beam identification at the UE side. The identity of the mapping method is noted as a second identity.

Step 6: and the UE sends the association relation between the AI model and the first identifier to core network equipment participating in training, and the core network equipment stores the association relation in the core network equipment or other core network equipment. Optionally, if the data set in step 4 also includes mapping information of UE-side beam information, the UE stores the association relationship between the AI model and the second identifier in the UE or the UE server.

According to the data collection method provided by the embodiment of the application, the execution body can be the data collection device. In the embodiment of the present application, a data collection device is described by taking a data collection method performed by the data collection device as an example.

Referring to fig. 4, an embodiment of the present application provides a data collection apparatus 400, the apparatus being applied to a first device, the apparatus comprising:

a first receiving module 401, configured to receive, by a first device, first information sent by a second device, where the first information includes a first identifier and a virtual beam identifier;

a generating module 402, configured to generate a data set according to the first information by the first device;

a building module 403, configured to build an association relationship between the data set and the first identifier by using the first device;

Optionally, the generating module is configured to:

and the first equipment generates the data set according to the virtual beam identification in the first information corresponding to the same first identification.

Optionally, the apparatus further comprises:

The first sending module is used for sending second information and first capability to the second equipment by the first equipment before the first equipment receives the first information sent by the second equipment;

the second information is used for requesting the second device to provide information of beam pointing, and the first capability is a virtual beam identification processing capability of the first device.

Optionally, the first capability includes one or more of:

whether the first device supports processing capabilities for virtual beam identification;

the maximum number of virtual beam identities supportable by the first device.

Optionally, in the case that the first device is a terminal and the second device is a network device, the first identifier is carried in a measurement configuration, where the measurement configuration is associated with a reference signal resource;

in the case that the first device is a network device and the second device is a terminal, the first identifier is carried in a measurement report, where the measurement report is associated with a reference signal resource and a beam quality.

Referring to fig. 5, an embodiment of the present application provides a data processing apparatus 500, which is applied to a second device, including:

a mapping module 501, configured to map, by a second device, a beam direction of the second device to a virtual beam identifier according to a first relationship;

A second sending module 502, configured to send, by the second device, first information to a first device, where the first information includes a first identifier and the virtual beam identifier;

Optionally, the apparatus further comprises:

the second receiving module is used for receiving second information and first capability sent by the first device before the second device sends the first information to the first device;

Optionally, the first capability includes one or more of:

the maximum number of virtual beam identities supportable by the first device.

The data collection device in the embodiments of the present application may be an electronic device, for example, an electronic device with an operating system, or may be a component in an electronic device, for example, an integrated circuit or a chip. The electronic device may be a terminal, or may be other devices than a terminal. By way of example, terminals may include, but are not limited to, the types of terminals 11 listed above, other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., and embodiments of the application are not specifically limited.

The data collection device provided in the embodiment of the present application can implement each process implemented by the embodiments of the methods of fig. 2 to 3, and achieve the same technical effects, so that repetition is avoided, and no further description is provided herein.

Optionally, as shown in fig. 6, the embodiment of the present application further provides a communication device 600, including a processor 601 and a memory 602, where the memory 602 stores a program or instructions that can be executed on the processor 601, for example, when the communication device 600 is a terminal, the program or instructions implement the steps of the above-mentioned data collection method embodiment when executed by the processor 601, and achieve the same technical effects. When the communication device 600 is a network side device, the program or the instruction, when executed by the processor 601, implements the steps of the above-described data collection method embodiment, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

The embodiment of the application also provides communication equipment, which comprises a processor and a communication interface, wherein when the communication equipment is used as first equipment, the communication interface is used for receiving first information sent by second equipment by the first equipment, and the first information comprises a first identifier and a virtual beam identifier;

the first identifier is an identifier of a first relationship, and the first relationship is a mapping relationship between beam pointing of the second device and the virtual beam identifier. The terminal embodiment corresponds to the terminal-side method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the terminal embodiment, and the same technical effects can be achieved.

Specifically, fig. 7 is a schematic hardware structure of a terminal for implementing an embodiment of the present application.

The terminal 700 includes, but is not limited to: at least some of the components of the radio frequency unit 701, the network module 702, the audio output unit 703, the input unit 704, the sensor 705, the display unit 706, the user input unit 707, the interface unit 708, the memory 709, and the processor 710.

Those skilled in the art will appreciate that the terminal 700 may further include a power source (e.g., a battery) for powering the various components, and that the power source may be logically coupled to the processor 710 via a power management system so as to perform functions such as managing charging, discharging, and power consumption via the power management system. The terminal structure shown in fig. 7 does not constitute a limitation of the terminal, and the terminal may include more or less components than shown, or may combine certain components, or may be arranged in different components, which will not be described in detail herein.

It should be appreciated that in embodiments of the present application, the input unit 704 may include a graphics processing unit (Graphics Processing Unit, GPU) 7041 and a microphone 7042, with the graphics processor 7041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 707 includes at least one of a touch panel 7071 and other input devices 7072. The touch panel 7071 is also referred to as a touch screen. The touch panel 7071 may include two parts, a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein.

In this embodiment, after receiving downlink data from the network side device, the radio frequency unit 701 may transmit the downlink data to the processor 710 for processing; in addition, the radio frequency unit 701 may send uplink data to the network side device. Typically, the radio unit 701 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 709 may be used to store software programs or instructions and various data. The memory 709 may mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area may store an operating system, application programs or instructions (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like. Further, the memory 709 may include volatile memory or nonvolatile memory, or the memory 709 may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM), static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (ddr SDRAM), enhanced SDRAM (Enhanced SDRAM), synchronous DRAM (SLDRAM), and Direct RAM (DRRAM). Memory 709 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

Processor 710 may include one or more processing units; optionally, processor 710 integrates an application processor that primarily processes operations involving an operating system, user interface, application programs, and the like, and a modem processor that primarily processes wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 710.

When the terminal is a first device, the radio frequency unit 701 is configured to receive, by using the first device, first information sent by a second device, where the first information includes a first identifier and a virtual beam identifier;

a processor 710, configured to generate a data set according to the first information by the first device;

a processor 710, configured to establish an association relationship between the data set and the first identifier by the first device;

Optionally, the processor 710 is configured to:

Optionally, the radio frequency unit 701 is configured to, before the first device receives the first information sent by the second device, send, to the second device, the second information and the first capability;

Optionally, the first capability includes one or more of:

the maximum number of virtual beam identities supportable by the first device.

when the terminal is a second device, the processor 710 is configured to map, according to a first relationship, a beam direction of the second device to a virtual beam identifier;

the radio frequency unit 701 is configured to send, by the second device, first information to a first device, where the first information includes a first identifier and the virtual beam identifier;

Optionally, the radio frequency unit 701 is configured to, before the second device sends the first information to the first device, receive, by the second device, the second information and the first capability sent by the first device;

Optionally, the first capability includes one or more of:

the maximum number of virtual beam identities supportable by the first device.

Optionally, in the case that the first device is a network device and the second device is a terminal, the first identifier is carried in a measurement report, and the measurement report is associated with a reference signal resource and beam quality.

The embodiment of the application also provides a network device, which comprises a processor and a communication interface,

when the network equipment is used as first equipment, the communication interface is used for the first equipment to receive first information sent by second equipment, and the first information comprises a first identifier and a virtual beam identifier;

When the network equipment is used as second equipment, the processor is used for mapping the beam direction of the second equipment to the virtual beam identifier according to the first relation by the second equipment;

The network side device embodiment corresponds to the method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the network side device embodiment, and the same technical effects can be achieved.

Specifically, the embodiment of the application also provides a network device, which is access network equipment. As shown in fig. 8, the network side device 800 includes: an antenna 81, a radio frequency device 82, a baseband device 83, a processor 84 and a memory 85. The antenna 81 is connected to a radio frequency device 82. In the uplink direction, the radio frequency device 82 receives information via the antenna 81, and transmits the received information to the baseband device 83 for processing. In the downlink direction, the baseband device 83 processes information to be transmitted, and transmits the processed information to the radio frequency device 82, and the radio frequency device 82 processes the received information and transmits the processed information through the antenna 81.

The method performed by the network side device in the above embodiment may be implemented in the baseband apparatus 83, and the baseband apparatus 83 includes a baseband processor.

The baseband device 83 may, for example, include at least one baseband board, where a plurality of chips are disposed, as shown in fig. 8, where one chip, for example, a baseband processor, is connected to the memory 85 through a bus interface, so as to call a program in the memory 85 to perform the network device operation shown in the above method embodiment.

The network-side device may also include a network interface 86, such as a common public radio interface (common public radio interface, CPRI).

Specifically, the network side device 800 of the embodiment of the present invention further includes: instructions or programs stored in the memory 85 and executable on the processor 84, the processor 84 invokes the instructions or programs in the memory 85 to perform the methods performed by the modules shown in fig. 4 and/or 5, and achieve the same technical effects, and are not repeated here.

Specifically, the embodiment of the application also provides a network side device, and the network device is core network equipment. As shown in fig. 9, the network side device 900 includes: a processor 901, a network interface 902, and a memory 903. The network interface 902 is, for example, a common public radio interface (common public radio interface, CPRI).

Specifically, the network side device 900 of the embodiment of the present invention further includes: instructions or programs stored in the memory 903 and executable on the processor 901, the processor 901 invokes the instructions or programs in the memory 903 to perform the methods performed by the modules shown in fig. 4 and/or 5, and achieve the same technical effects, so that repetition is avoided and thus are not described herein.

The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored, and when the program or the instruction is executed by a processor, the processes of the foregoing data collection method embodiment are implemented, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

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

The embodiment of the application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled with the processor, and the processor is used for running a program or an instruction, so as to implement each process of the data collection method embodiment, and achieve the same technical effect, so that repetition is avoided, and no redundant description is provided here.

It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, or the like.

The embodiments of the present application further provide a computer program/program product, where the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement each process of the above-mentioned embodiments of the data collecting method, and achieve the same technical effects, so that repetition is avoided, and details are not repeated herein.

The embodiment of the application also provides a communication system, which comprises: a first device operable to perform the steps of the method as described at the first device side, and a second device operable to perform the steps of the method as described at the second device side.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.

Claims

1. A method of data collection, comprising:

the first device generates a data set according to the first information;

2. The method of claim 1, wherein the first device generating a data set from the first information comprises:

3. The method of claim 1, wherein prior to the first device receiving the first information sent by the second device, the method further comprises:

the first device sending second information and first capabilities to the second device;

4. A method according to claim 3, wherein the first capability comprises one or more of:

the maximum number of virtual beam identities supportable by the first device.

5. The method of claim 1, wherein the step of determining the position of the substrate comprises,

in the case that the first device is a terminal and the second device is a network device, the first identifier is carried in a measurement configuration, where the measurement configuration is associated with a reference signal resource;

6. A method of data processing, comprising:

7. The method of claim 6, wherein prior to the second device transmitting the first information to the first device, the method further comprises:

the second device receives second information and first capability sent by the first device;

8. The method of claim 7, wherein the first capability comprises one or more of:

the maximum number of virtual beam identities supportable by the first device.

9. The method of claim 6, wherein the step of providing the first layer comprises,

10. A data collection apparatus, the apparatus being for application to a first device, the apparatus comprising:

11. The apparatus of claim 10, wherein the generating module is configured to:

12. The apparatus of claim 10, wherein the apparatus further comprises:

13. The apparatus of claim 12, wherein the first capability comprises one or more of:

the maximum number of virtual beam identities supportable by the first device.

14. The apparatus of claim 10, wherein the device comprises a plurality of sensors,

15. A data processing apparatus, the apparatus being applied to a second device, comprising:

16. The apparatus of claim 15, wherein the apparatus further comprises:

17. The apparatus of claim 16, wherein the first capability comprises one or more of:

the maximum number of virtual beam identities supportable by the first device.

18. The apparatus of claim 15, wherein the device comprises a plurality of sensors,

19. A communication device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the data collection method of any one of claims 1 to 5, or performs the steps of the data collection method of any one of claims 6 to 9.

20. A readable storage medium, characterized in that the readable storage medium stores thereon a program or instructions, which when executed by a processor, implement the steps of the data collection method according to any one of claims 1 to 5 or the steps of the data collection method according to any one of claims 6 to 9.