WO2024032197A1

WO2024032197A1 - Communication method and apparatus, device, and storage medium

Info

Publication number: WO2024032197A1
Application number: PCT/CN2023/103432
Authority: WO
Inventors: 段小嫣
Original assignee: 大唐移动通信设备有限公司
Priority date: 2022-08-09
Filing date: 2023-06-28
Publication date: 2024-02-15
Also published as: CN117641304A

Abstract

The present disclosure relates to the technical field of communication, and in particular to a communication method and apparatus, a device, and a storage medium. The method comprises: obtaining proximity based services (ProSe) communication analysis information of a first user equipment UE, the ProSe communication analysis information comprising statistical information and/or prediction information related to ProSe communication of the first UE; and based on the ProSe communication analysis information, executing one of the following: determining a ProSe communication strategy, the ProSe communication strategy being used for guiding the first UE to carry out ProSe communication with at least one target UE; or, determining at least one target UE, and performing ProSe communication with the at least one target UE. The invention achieves the aim of successfully establishing ProSe communication between two or more adjacent UEs.

Description

Communication methods, devices, equipment and storage media

This disclosure claims priority to the Chinese patent application filed with the China Patent Office on August 9, 2022, with application number 202210950472.8 and the application name "communication method, device, equipment and storage medium", the entire content of which is incorporated herein by reference. Public.

Technical field

The present disclosure relates to the field of communication technology, and in particular, to a communication method, device, equipment and storage medium.

Background technique

Proximity based Services (ProSe) communication, referred to as proximity communication, refers to direct (that is, not via the network) communication between two or more nearby UEs (User Equipment, referred to as UE) to transmit specific services or application data. Proximity services include: 1) Proximity services in relay mode, that is, a UE accesses the network for communication via one or more adjacent UEs (called relay UEs (Relay UE)). 2) Proximity service in non-relay mode, that is, one UE communicates with one or more adjacent UEs without accessing the network through the UE.

In the related art, the UE or the proximity service policy for performing proximity service communication is usually determined within a set location range. However, this method has the problem of determining that proximity service communication cannot be successfully established between two or more UEs performing proximity service communication.

Contents of the invention

The present disclosure provides a communication method, device, equipment and storage medium to enable two or more adjacent UEs to successfully establish proximity service communication.

In a first aspect, the present disclosure provides a communication method, applied to a first functional entity, including: obtaining proximity service communication analysis information of a first user equipment UE, where the proximity service communication analysis information includes information related to proximity service communication of the first UE. The statistical information and/or prediction information; based on the proximity service communication analysis information, perform one of the following: determine the proximity service communication policy, the proximity service communication policy is used to guide the first UE to conduct proximity service communication with at least one target UE; or, determine At least one target UE performs proximity service communication with at least one target UE.

In some embodiments, the proximity service communication analysis information includes at least one of the following information: identification information of the proximity service, or identification information of the relay mode proximity service; statistical information or prediction information for the location of the first UE; Statistical information or prediction information for the relative position of a UE; statistical information or prediction information for the position of at least one target UE; statistical information or prediction information for the relative position of at least one target UE; first statistical information or The first prediction information, the first statistical information or the first prediction information includes statistical information or prediction information for the performance of the first UE and/or at least one target UE; the second statistical information or the second prediction information, the second statistical information or The second prediction information includes statistical information or prediction information for performance of a network or network functional entity serving the first UE and/or at least one target UE.

In some embodiments, the first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or at least one target UE: proximity service communication performance, relay mode proximity service Communication performance, business experience, mobile performance, resource usage; and/or, the second statistical information or second prediction information includes statistical information or prediction information on at least one of the following performance of the network or network functional entity: communication performance, energy Performance consumption, resource usage, load status, and congestion status.

In some embodiments, obtaining the proximity service communication analysis information of the first UE includes: sending a proximity service communication analysis request to the second functional entity, where the proximity service communication analysis request is used to request to obtain the proximity service communication analysis information of the first UE; Receive proximity service communication analysis information from the second functional entity.

In some embodiments, the proximity service communication analysis request includes at least one of the following information: proximity service communication description information, used to indicate the request for proximity service communication analysis information; analysis target information, used to indicate that the request is for the first UE and/or at least A target UE performs analysis; the identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service; the identifier of the relay mode proximity service is used to indicate the proximity service communication analysis information requesting the relay mode proximity service; the application Identification information, used to indicate the proximity service communication analysis information of the requested application; area information, used to indicate the proximity service communication analysis information in the requested area; network slice information, used to indicate the proximity service communication analysis information in the requested network slice; time Segment information, used to indicate proximity service communication analysis information within the requested time period.

In some embodiments, the proximity service communication policy includes at least one of the following: indication information for instructing to use proximity service communication; indication information for instructing to use relay mode proximity service communication; information of at least one target UE; proximity service Information about the target application of communication; time of proximity service communication; area of proximity service communication; quality of service QoS parameters of proximity service communication.

In some embodiments, after determining the proximity service communication policy, the method further includes: sending the proximity service communication policy to the first UE; or, controlling the proximity service communication of the first UE according to the proximity service communication policy; or, sending the proximity service communication policy to the third function. The entity sends the proximity service communication policy, so that the third functional entity controls the proximity service communication of the first UE according to the proximity service communication policy.

In some embodiments, before obtaining the proximity service communication analysis information of the first UE, the method further includes: receiving a proximity service request message sent by the first UE. The proximity service request message is used to request information about the target UE or request for proximity service communication. required information.

In some embodiments, after determining the proximity service communication policy, the method further includes: executing the proximity service communication policy.

In a second aspect, the present disclosure also provides a communication method, applied to the second functional entity, including: collecting input data related to proximity service communication of the first UE; based on the input data, determining proximity service communication analysis information, proximity service The communication analysis information includes statistical information and/or prediction information related to the first UE proximity service communication.

In some embodiments, before collecting the input data related to the proximity service communication of the first UE, the method further includes: receiving a proximity service communication analysis request from the first functional entity, where the proximity service communication analysis request is used to request to obtain the proximity service communication of the first UE. Proximity service communication analysis information; and/or, after determining the proximity service communication analysis information, further including: sending proximity service communication analysis information to the first functional entity.

In some embodiments, the proximity service communication analysis information includes at least one of the following information: identification information of the proximity service, or identification information of the relay mode proximity service; statistical information or prediction information for the location of the first UE; Statistical information or prediction information for the relative position of a UE; statistical information or prediction information for the position of at least one target UE; statistical information or prediction information for the relative position of at least one target UE; first statistical information or first prediction information , the first statistical information or the first prediction information includes statistical information or prediction information for the performance of the first UE and/or at least one target UE; the second statistical information or the second prediction information, the second statistical information or the second prediction information Includes statistical information or prediction information for performance of a network or network functional entity serving the first UE and/or at least one target UE.

In some embodiments, the first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or at least one target UE: proximity service communication performance, relay mode proximity service Communication performance, business experience, mobile performance, resource usage; and/or, the second statistical information or second prediction information includes statistical information or prediction information on at least one of the following performance of the network or network functional entity: communication performance, energy consumption Performance, resource usage, load status, congestion status.

In some embodiments, the input data includes at least one of the following information: identification information of the proximity service; identification information of the proximity service in the relay mode; location information of the first UE and/or at least one target UE; the first UE and/or at least one Relative location information of a target UE; performance of the first UE and/or at least one target UE; performance of a network or network functional entity serving the first UE and/or at least one target UE.

In some embodiments, the performance of the first UE and/or at least one target UE includes at least one of the following performance of the first UE and/or at least one target UE: proximity service communication performance, relay mode proximity service communication performance, Service experience, mobility performance, resource usage; and/or, the performance of the network or network function entity serving the first UE and/or at least one target UE, including at least one of the following performance of the network or network function entity: communication performance, Energy consumption performance, resource usage, load status, congestion status.

In a third aspect, the present disclosure also provides a communication device, applied to a first functional entity, including: an acquisition module, configured to acquire proximity service communication analysis information of the first UE, where the proximity service communication analysis information includes information related to the first UE. Statistical information and/or prediction information related to proximity service communication; an execution module, configured to perform one of the following based on proximity service communication analysis information: determining a proximity service communication strategy, and the proximity service communication strategy is used to guide the first UE to communicate with at least one target The UE performs proximity service communication; or, determines at least one target UE, and performs proximity service communication with at least one target UE.

In a fourth aspect, the present disclosure also provides a communication device, applied to the second functional entity, including: a collection module for collecting input data related to proximity service communication of the first UE; and a determination module for determining based on the input data , determine proximity service communication analysis information, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE.

In a fifth aspect, the present disclosure also provides a communication device, including: a memory, a transceiver, and a processor: the memory is used to store computer programs; the transceiver is used to send and receive data under the control of the processor; the processor is used to read the memory and perform the following operations: obtain proximity service communication analysis information of the first UE, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE; based on the proximity service communication analysis information , perform one of the following: determine a proximity service communication policy, the proximity service communication policy is used to guide the first UE to perform proximity service communication with at least one target UE; or, determine at least one target UE, and perform proximity service communication with at least one target UE.

In some embodiments, the proximity service communication analysis information includes at least one of the following information: identification information of the proximity service, or identification information of the relay mode proximity service; statistical information or prediction information for the location of the first UE; Statistical information or prediction information for the relative position of a UE; statistical information or prediction information for the position of at least one target UE; statistical information or prediction information for the relative position of at least one target UE; first statistical information or first prediction information , the first statistical information or the first prediction information includes statistical information or prediction information for the performance of the first UE and/or at least one target UE; the second statistical information or the second prediction information, the second statistical information or the second prediction information The information includes statistical information or prediction information regarding the performance of the network or network functional entity serving the first UE and/or the at least one target UE.

In some embodiments, obtaining the proximity service communication analysis information of the first UE specifically includes: sending a proximity service communication analysis request to the second functional entity, where the proximity service communication analysis request is used to request to obtain the proximity service communication analysis information of the first UE. ; Receive proximity service communication analysis information from the second functional entity.

In some embodiments, after determining the proximity service communication policy, it further includes: sending the proximity service communication policy to the first UE; or, controlling the proximity service communication of the first UE according to the proximity service communication policy; or, sending the proximity service communication policy to the third UE. The functional entity sends the proximity service communication policy, so that the third functional entity controls the proximity service communication of the first UE according to the proximity service communication policy.

In some embodiments, before obtaining the proximity service communication analysis information of the first UE, the method further includes: receiving a proximity service request message sent by the first UE. The proximity service request message is used to request information about the target UE or request proximity service communication. required information.

In a sixth aspect, the present disclosure also provides a communication device, including: a memory, a transceiver, and a processor: memory Used to store computer programs; the transceiver is used to send and receive data under the control of the processor; the processor is used to read the computer program in the memory and perform the following operations: collect input data related to proximity service communication of the first UE; based on the input data to determine proximity service communication analysis information, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE.

In a seventh aspect, the present disclosure also provides a processor-readable storage medium. The processor-readable storage medium stores a computer program, and the computer program is used to cause the processor to execute the above-mentioned communication method.

The present disclosure provides communication methods, devices, equipment and storage media. The method includes: obtaining proximity service communication analysis information of the first user equipment UE, where the proximity service communication analysis information includes statistical information related to the proximity service communication of the first UE and/ or prediction information; based on the proximity service communication analysis information, perform one of the following: determine the proximity service communication strategy, the proximity service communication policy is used to guide the first UE to perform proximity service communication with at least one target UE; or, determine at least one target UE, Proximity service communication is performed with at least one target UE. In this disclosure, the first functional entity may send a proximity service communication analysis request to the second functional entity, and the second functional entity sends a proximity service communication analysis request to the first functional entity by analyzing status information or performance information of other UEs in the proximity area of the first UE. The service communication analysis information enables the first UE to successfully conduct proximity service communication with at least one target UE, thereby improving the performance of proximity service communication and better meeting business requirements and communication requirements.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Figure 1 is a schematic flowchart of a communication method provided by an embodiment of the present disclosure;

Figure 2 is a schematic flowchart of another communication method provided by an embodiment of the present disclosure;

Figure 3 is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

Figure 4 is a schematic structural diagram of another communication device provided by an embodiment of the present disclosure;

Figure 5 is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram of another communication device provided by an embodiment of the present disclosure.

Specific embodiments of the present disclosure have been shown through the above-mentioned drawings and will be described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather are intended by reference to specific embodiments. Those skilled in the art will explain the concept of the present disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without exerting any creative effort.

Detailed ways

In the embodiment of the present invention, the term "and/or" describes the relationship between associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone. these three situations. The character "/" generally indicates that the related objects are in an "or" relationship.

In the embodiment of this disclosure, the term "plurality" refers to two or more than two, and other quantifiers are similar to it.

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only some of the embodiments of the present disclosure, not all of them. Based on the embodiments in this disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this disclosure.

When studying proximity service communication between UEs, the inventor found that when the UE selects other UEs to communicate with the proximity service, or when the network determines the proximity service policy of the UE, it does not consider the status of other UEs in the vicinity of the UE. (For example, whether there are spare resources to perform specific proximity services) or performance (for example, whether the high quality of service QoS requirements of specific proximity services can be met), etc. In this way, proximity service communication may not be successfully established, or business/communication performance requirements may not be met. Therefore, embodiments of the present disclosure provide communication methods and devices, which can be used to achieve the purpose of successfully establishing proximity service communication between two or more UEs performing proximity service communication.

In this disclosure, proximity service ProSe (Proximity based Services) communication, referred to as proximity service communication, refers to direct (that is, not via the network) communication between two or more adjacent UEs to transmit specific business or application data; or A UE accesses the network for communication via one or more neighboring UEs (called relay UEs). 5G UEs that support proximity services (or ProSe UEs) can discover other UEs with which they can communicate with proximity services through the direct discovery name management function DDNMF (Direct Discovery Name Management Function) in the 5G network. At the same time, the policy control function PCF (Policy Control Function) in the 5G network can provide proximity service policies to 5G UEs, allowing the UE to determine whether a specific service or application should be implemented through proximity service communication or network communication.

In order to realize intelligent analysis and control of the network, this disclosure introduces NWDAF (Network Data Analytics Function) into the 5G network. Based on artificial intelligence (AI: Artificial Intelligence) algorithms, NWDAF provides network data analysis (hereinafter referred to as "network data analysis" as "analysis" or "network analysis") services for other network function entities through interaction with other network function entities. . The main functions of NWDAF include: 1) The receiving network function entity (consumer NF) receives the analysis request, and collects network data from the data source network function entity (data provider) according to the analysis request as the input data required for network analysis; 2) Use the collected data to perform network analysis, and obtain Statistics and prediction information on the status or performance of the network or terminal, that is, analysis information; 3) Provide analysis information to other network functional entities.

Among them, the method and the device are based on the same application concept. Since the principles of the method and the device to solve the problem are similar, the implementation of the device and the method can be referred to each other, and the repeated details will not be repeated.

The technical solutions provided by the embodiments of the present disclosure can be applied to a variety of systems, especially 5G systems. For example, applicable systems can be global system of mobile communication (GSM) system, code division multiple access (code division multiple access, CDMA) system, wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) general packet Wireless service (general packet radio service, GPRS) system, long term evolution (long term evolution, LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD) system, Advanced long term evolution (long term evolution advanced, LTE-A) system, universal mobile telecommunication system (UMTS), global interoperability for microwave access (WiMAX) system, 5G New Radio, NR) system, etc. These various systems include terminal equipment and network equipment. The system can also include the core network part, such as the Evolved Packet System (EPS), 5G system (5GS), etc.

The terminal device involved in the embodiments of the present disclosure may be a device that provides voice and/or data connectivity to users, a handheld device with a wireless connection function, or other processing devices connected to a wireless modem, etc. In different systems, the names of terminal equipment may also be different. For example, in a 5G system, the terminal equipment may be called UE (User Equipment, UE). Wireless terminal equipment can communicate with one or more core networks (Core Network, CN) via a Radio Access Network (RAN). The wireless terminal equipment can be a mobile terminal equipment, such as a mobile phone (also known as a "cellular phone"). "Telephone) and computers with mobile terminal devices, which may be, for example, portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile devices, which exchange speech and/or data with the radio access network. For example, Personal Communication Service (PCS) phones, cordless phones, Session Initiated Protocol (SIP) phones, Wireless Local Loop (WLL) stations, Personal Digital Assistants, PDA) and other equipment. Wireless terminal equipment may also be called a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, or an access point. , remote terminal equipment (remote terminal), access terminal equipment (access terminal), user terminal equipment (user terminal), user agent (user agent) and user device (user device) are not limited in the embodiments of this disclosure.

The technical solution of the present disclosure and how the technical solution of the present disclosure solves the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. Embodiments of the present disclosure will be described below with reference to the accompanying drawings.

In some embodiments, a communication method is provided, applied to the first functional entity. The first functional entity may specifically be PCF, first UE, DDNMF or application function AF (Application Function).

Figure 1 is a schematic flow chart of a communication method provided by an embodiment of the present disclosure. As shown in Figure 1, the method mainly includes the following steps:

S101: Obtain proximity service communication analysis information of the first user equipment UE.

In this step, the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE.

Specifically, the PCF, the first UE, DDNMF or AF may obtain the proximity service communication analysis information of the first UE from the second functional entity. The second functional entity may be NWDAF. The second functional entity performs the proximity service analysis on the first UE. After the communication is analyzed, proximity service communication analysis information can be generated.

S102: Based on the proximity service communication analysis information, perform one of the following: determine a proximity service communication policy; or determine at least one target UE, and perform proximity service communication with at least one target UE.

In this step, the proximity service communication policy is used to guide the first UE to perform proximity service communication with at least one target UE.

Specifically, if the first functional entity is PCF or AF, after obtaining the proximity service communication analysis information, the proximity service communication strategy of the first UE can be determined based on the proximity service communication analysis information, and the proximity service communication strategy can be sent to the first UE. Communication policy, so that the first UE determines at least one target UE to perform proximity service communication according to the proximity service communication policy.

Optionally, if the first functional entity is an AF, the AF may also determine the proximity service communication parameters (or proximity service communication parameter set) for a specific application after receiving the proximity service communication analysis information, and send the proximity service communication parameter set to the PCF. service communication parameters, so that the PCF determines the proximity service communication policy according to the proximity service communication parameters (at this time, the proximity service communication policy contains the proximity service communication parameters), and sends the proximity service communication policy to the first UE or DDNMF. Among them, the AF can send the proximity service communication parameters (or proximity service communication parameter set) to the network capability exposure function NEF (Network Exposure Function) and/or the unified database UDR (Unified Data Repository), and the NEF and/or UDR then report to the PCF Send the proximity service communication parameters (or proximity service communication parameters set).

Optionally, the AF may also directly send the proximity service communication parameters (or proximity service communication parameter set) to the first UE or DDNMF, so that the first UE or DDNMF directly determines at least one target UE according to the proximity service communication parameters. The AF may send the proximity service communication parameters (or the proximity service communication parameter set) to the NEF, and the NEF then sends the proximity service communication parameters (or the proximity service communication parameter set) to the DDNMF.

Specifically, if the first functional entity is the first UE, after obtaining the proximity service communication analysis information, the first UE can directly select at least one target UE for direct communication based on the proximity service communication analysis information, or select as the target UE for direct communication. and then performs proximity service communication with at least one target UE.

Optionally, when selecting at least one target UE for direct communication, the first UE may select at least one target UE that meets the following conditions among multiple neighboring UEs that support a specific proximity service for proximity service communication:

1) The communication performance reaches the desired performance (such as supporting high QoS or QoE, and/or supporting high data transmission rates); and/or,

2) The percentage of available resources reaches the preset value.

Optionally, when selecting at least one target UE as a relay, the first UE may select at least one target UE that meets the following conditions as a relay UE among multiple neighboring UEs that support specific relay mode proximity services:

1) The relay performance reaches the desired performance (such as supporting high QoS or QoE requirements for adjacent services in relay mode, and/or supporting high relay transmission rates); and/or,

2) The percentage of available resources reaches the preset value; and/or,

3) Have good mobility performance (such as long time in the 3GPP network, low frequency of moving out of the 3GPP network, and/or high handover success rate).

Specifically, if the first functional entity is DDNMF, after acquiring the proximity service communication analysis information, the DDNMF can directly determine the information of at least one target UE and send the information of the at least one target UE to the first UE, so that the third functional entity can A UE performs proximity service communication with at least one target UE.

In the communication method provided by the embodiment of the present disclosure, the second functional entity analyzes the proximity service communication of the first UE. After generating the proximity service communication analysis information, the first functional entity obtains the proximity service communication analysis information and can determine the user. A proximity service communication policy that guides the first UE to perform proximity service communication with at least one target UE, or directly determines at least one target UE, so that the first UE successfully establishes proximity service communication with at least one target UE.

In some embodiments, the proximity service communication analysis information includes at least one of the following information: identification information of the proximity service, or identification information of the relay mode proximity service; statistical information or prediction information for the location of the first UE; Statistical information or prediction information for the relative position of the first UE; statistical information or prediction information for the position of at least one target UE; statistical information or prediction information for the relative position of at least one target UE; first statistical information or first The prediction information, the first statistical information or the first prediction information includes statistical information or prediction information for the performance of the first UE and/or the at least one target UE; the second statistical information or the second prediction information, the second statistical information or the second prediction information. The prediction information includes statistical information or prediction information for the performance of the network or network functional entity serving the first UE and/or the at least one target UE.

Specifically, the identification information of the proximity service, or the identification information of the relay mode proximity service, can enable the first UE to determine whether to communicate directly or through a relay. The second functional entity analyzes the proximity service communication of the first UE. Specifically, it can analyze the performance information and status information of the first UE and its neighboring UEs, so that the target UE can be selected for the first UE, which can greatly improve the performance of the first UE. The success rate of proximity service communication between a UE and a target UE.

Specifically, the statistical information of the first UE and/or the at least one target UE may include first statistical information and second statistical information, and the prediction information may include first prediction information and second prediction information. The details can be shown in the following table:

Table 1 Statistical information table of the first UE and/or at least one target UE

Table 2 Prediction information table of the first UE and/or at least one target UE

Specifically, when acquiring the proximity service communication analysis information, the first functional entity may first send a proximity service communication analysis request to the second functional entity. After receiving the proximity service communication analysis request, the second functional entity may perform the proximity service communication analysis request on the first UE. Analyze the proximity service communication to generate proximity service communication analysis information, and send the proximity service communication analysis information to the first functional entity to analyze the proximity service communication of the first UE through the second functional entity, to achieve Improve the success rate of proximity service communication between the first UE and at least one target UE.

Optionally, the proximity service communication analysis request can request proximity service communication analysis information once, or subscribe to proximity service communication analysis information multiple times (for example, request the second functional entity NWDAF to send proximity service communication analysis information at a certain period, or in the proximity service The adjacent service communication analysis information is resent when the service communication analysis information is updated).

Optionally, if the first functional entity is the first UE, the first UE may send the proximity service communication analysis request to the NWDAF in one of the following ways:

1) The first UE sends the data packet containing the proximity service communication analysis request to the user plane function UPF through the user plane, and the UPF forwards the parsed analysis request to the NWDAF;

2) The first UE sends the proximity service communication analysis request to the core network control function (such as the access and mobility management function AMF or the session management function SMF) through control plane signaling, and the core network control function entity then sends the proximity service communication analysis request Forward to NWDAF.

Specifically, the proximity service communication analysis request may include proximity service communication description information, used to indicate to the NWDAF to request analysis information related to proximity service communication of the first UE, such as the following parameters:

1) A specific analytics identifier (Analytics ID), for example: Analytics ID="Proximity communication"; or,

2) Other parameters except Analytics ID, for example: Communication Type = "Proximity communication" in Analysis Filter Information (Analytics Filter Information). At this time, the Analytics ID can be set to = "UE communication" (UE communication).

The proximity service communication analysis request may include analysis target information (Target of Analytics Reporting): used to indicate which/which UEs are to be subjected to AI-related analysis. For example:

Target of Analytics Reporting=UE1 ID (the identification of UE1, indicating the analysis of UE1), where UE1 can be the first UE;

Target of Analytics Reporting=UE2 ID (identification of UE2, indicating analysis of UE2), here UE2 It is a target UE that may be conducting proximity service communication with UEl, or a target UE that serves as a relay (ie, Relay UE), or other target UEs that UEl is interested in. UE1 can discover UE2 that can communicate with UE1 in proximity services or serve as a relay UE through the Direct Discovery process;

Target of Analytics Reporting=list of UE IDs (UE identification list, indicating the analysis of multiple identified UEs). The UEs in the list here are target UEs that can communicate with UE1 over short distances, or serve as relay target UEs. Or other target UEs that UE1 is interested in. UE1 can discover these UEs that can communicate with the UE in proximity services or serve as relay UEs through the Direct Discovery process;

Target of Analytics Reporting=UE Group ID (UE group identification, indicating analysis of a group of UEs). This group can be the group where UE1 belongs, or the target UE group that communicates with UE1 (such as 1-to-many communication, chat , conference, etc.), or other target UE groups that UE1 is interested in;

Target of Analytics Reporting=Any UE, indicating all target UEs that meet specific conditions (such as within the area of interest of UE1).

Proximity service communication analysis requests may include analysis filter information (Analytics Filter Information), such as UE1's area of interest (AoI: Area of Interest), or slice information, indicating a request to analyze UEs in a specific area or network slice.

Optionally, the analysis filtering information may also include Communication Type = "ProSe communication", indicating that the UE proximity service communication or the UE supporting proximity service communication is analyzed; the analysis filtering information may also include the proximity service identifier ( ProSe identifier) or relay mode proximity service identifier (i.e., relay mode proximity service code RSC (Relay Service Code)). For example, setting Application ID = ProSe identifier_1 or RSC_1 means that only the proximity service identifier or relay mode proximity service identifier is supported. Analyze the UE of the service identification; UE1 can set the area of interest (AoI) according to the range of proximity service communication it supports, such as a range of 100 meters with UE1 as the center radius (Reference UE=UE1 ID, Range=100m), Alternatively, UE1 can set an area of interest (AoI) based on other reference points (such as other UEs), such as a range with a radius of 200 meters centered on UE2 (Reference UE=UE2 ID, Range=200m).

The proximity service communication analysis request may include other information, such as time period information, indicating that proximity service communication analysis information is requested in the past or a future period of time.

Optionally, if the first functional entity is AF, the proximity service communication analysis request may also include: the identification information Application ID of the application that AF is interested in, for example, setting Application ID = ProSe identifier_1 or RSC_1, indicating a request for a specific application (Application) Proximity business communication analysis information. Further, the AF can set the analysis target information Target of Analytics Reporting based on the information of the UE that supports the above-mentioned specific application, that is, Target of Analytics Reporting=Supports one or more UE identities, or UE group identities, or all UEs for the above-mentioned specific applications (it should be noted that other conditions in the analysis filtering information need to be met at the same time).

Optionally, if the first functional entity is PCF, the proximity service communication analysis request may also include: the identity of one or more UEs served by the PCF (UE ID), the proximity service identifier (ProSe identifier) supported by the UE or the relay Mode proximity service identifier (ie: relay mode proximity service code RSC). PCF can set these parameters based on PCF local configuration or stored information. Alternatively, PCF can send a request to DDNMF or unified data management function UDM (Unified Data Management), which carries one or more UE identifiers (UE ID), and then based on the ProSe identifier or RSC carried in the response message from DDNMF or UDM , set the corresponding parameters in the proximity service communication analysis request (for example, set Application ID=ProSe identifier_1 or RSC_1).

Specifically, after receiving the proximity service communication policy, the first UE may adopt the proximity service communication with at least one target UE according to the indication information in the proximity service communication policy for instructing to adopt the proximity service communication, or according to the instruction information for instructing to adopt the proximity service communication. Instruction information of relay mode proximity service communication, using relay communication with at least one target UE; the information of the at least one target UE may include: the target UE is within the proximity service communication range of the first UE (for example, with the first UE as the center radius 100 meters), the target UE supports the QoS or QoE requirements of the specific proximity service, and the target UE has available resources (for example, 45% of the resources of the target UE are available); the information of the target application for proximity service communication may include: application identification information of the target application , packet filtering information (such as IP triples or quintuples), identification information of adjacent services, identification information of adjacent services in relay mode, etc.; proximity service communication time (that is, the effective time of proximity service communication), proximity service The communication area (and/or location) and the quality of service QoS parameters of the proximity service communication can enable the first UE to use Specific QoS parameters for proximity service communication.

Optionally, if there is a target UE that satisfies one or more conditions in the proximity service communication policy, the proximity service communication policy can be set to use proximity service communication for a specific service; otherwise, proximity service communication is not used.

Optionally, the proximity service communication policy may also include a list of UE IDs of target UEs that can communicate with the first UE for specific proximity services, arranged in order of priority. For example, the ProSe Policy sent to the first UE contains {(ProSe identifier_1: UE2 ID, UE3 ID, UE4 ID), (RSC_1: UE3 ID, UE5 ID)}, which is used to indicate to the first UE the identity of ProSe identifier_1. For proximity services, UE2, UE3, and UE4 are prioritized in order for proximity service communications; For the relay mode proximity service identified by RSC_1, UE3 and UE5 are preferably selected as relay UEs in sequence.

Specifically, if the first functional entity is the PCF, after determining the proximity service communication policy, the PCF can also send the proximity service communication policy to the first UE. After receiving the proximity service communication policy, the first UE can execute the received proximity service communication policy. Proximity service communication policy. Specifically, the first UE may perform proximity service communication for services indicated in the proximity service communication policy to use proximity service communication. Further, if the proximity service communication policy also includes a UE ID list of UEs that can communicate with the first UE for a specific proximity service, for example {(ProSe identifier_1: UE2 ID, UE3 ID, UE4 ID), (RSC_1: UE3 ID, UE5 ID)}, then: for the proximity service identified by ProSe identifier_1, UE2 is preferred for proximity service communication. If UE2 cannot be selected for some reasons, for example, the first UE detects that the wireless signal of UE2 is weak (for example, it is lower than the set threshold ), select UE3, and so on. For the relay mode proximity service identified by RSC_1, UE3 is selected first. If UE3 cannot be selected for some reasons, for example, the first UE detects that the wireless signal of UE3 is weak (for example, lower than a set threshold), UE5 is selected.

Specifically, after the proximity service communication policy is determined, the proximity service communication of the first UE can also be directly controlled according to the proximity service communication policy, so that the first UE can conduct proximity service communication with at least one target UE; or the proximity service communication can be The policy is sent to the third functional entity DDNMF, and the DDNMF controls the proximity service communication of the first UE according to the proximity service communication policy, so that the first UE communicates with the proximity service with at least one target UE.

Optionally, if the first functional entity is an AF, the AF can also determine the proximity service communication parameters (or proximity service communication parameter set) for the specific application based on the obtained proximity service communication analysis information, and set the proximity service communication parameters to the AF. Sent to PCF so that PCF can perform one of the following:

1) The PCF determines the proximity service communication policy of the first UE based on the proximity service communication parameters for the specific application, and sends the proximity service communication policy to the first UE. The proximity service communication policy of the first UE includes proximity service communication parameters for a specific application.

The proximity service communication policy of the first UE may also include a list of UE IDs of UEs that can perform specific proximity service communications with the first UE, arranged in priority. For example, the ProSe Policy sent to the first UE (that is, UE1) contains {(ProSe identifier_1: UE2 ID, UE3 ID, UE4 ID), (RSC_1: UE3 ID, UE5 ID)}, which is used to indicate to UE1 that for ProSe For proximity services identified by identifier_1, UE2, UE3, and UE4 are prioritized in order for proximity service communication; for proximity services in relay mode identified by RSC_1, UE3 and UE5 are prioritized as relays in sequence. UE.

Further, the UE executes the received proximity service communication policy. Wherein, the first UE adopts proximity service communication for the specific service (and/or application) according to the proximity service communication parameters for the specific application in the proximity service communication policy. That is: for a specific service (and/or application), use proximity service communication at a designated time, a designated area (and/or location) and/or a designated proximity service communication range, and set the designated QoS parameters or QoE parameters (and/or or target).

Further, if the proximity service communication policy also includes a UE ID list of UEs that can communicate with the first UE for specific proximity services, for example {(ProSe identifier_1: UE2 ID, UE3 ID, UE4 ID), (RSC_1: UE3 ID ,UE5 ID)}, then: for the proximity service identified by ProSe identifier_1, UE2 is preferred for proximity service communication. If UE2 cannot be selected for some reasons, for example, UE1 detects that the wireless signal of UE2 is weak (for example, lower than the set threshold) , then select UE3, and so on; for the relay mode proximity service identified by RSC_1, UE3 is preferred. If UE3 cannot be selected for some reasons, for example, UE1 detects that the wireless signal of UE3 is weak (for example, lower than the set threshold), Then choose UE5.

2) The PCF determines the proximity service communication policy based on the proximity service communication parameters for the specific application, and sends the proximity service communication policy to the DDNMF. The proximity service communication policy contains proximity service communication parameters for specific applications.

Further, DDNMF executes the received proximity service communication policy. Among them, DDNMF, based on the proximity service communication parameters for the specific application in the proximity service communication policy, when receiving the direct discovery (Direct Discovery) request message of the first UE (such as UE1), for the specific service (and/or application), in One or more target UEs that can communicate with UEl for proximity services are found within the designated time, designated area (and/or location) and/or designated proximity service communication range, and the information of the target UE is carried in the response message and sent to UEl; At the same time, the response message also carries QoS parameters or QoE parameters (and/or targets) of the specific service (and/or application) specified in the proximity service communication policy. UE1 establishes proximity service communication with one or more target UEs according to the information carried in the response message.

Optionally, the AF may also send the proximity service communication parameters to the first UE after determining the proximity service communication parameters (or proximity service communication parameter set) for the specific application. Optionally, the AF may send the proximity service communication parameter (or proximity service communication parameter set) to the first UE through the application layer.

Further, the first UE applies the received proximity service communication parameters (or proximity service communication parameter set) for the specific application. Wherein, the first UE may adopt proximity service communication for the specific service (and/or application) according to the proximity service communication parameters (or proximity service communication parameter set) for the specific application. That is: for a specific service (and/or application), use proximity service communication at a designated time, a designated area (and/or location) and/or a designated proximity service communication range, and set the designated QoS parameters or QoE parameters (and/or or target).

Optionally, the AF may also send the proximity service communication parameters to the DDNMF after determining the proximity service communication parameters (or proximity service communication parameter set) for a specific application. Specifically, the AF may send the proximity service communication parameters (or the proximity service communication parameter set) to the NEF, and the NEF then sends the proximity service communication parameters (or the proximity service communication parameter set) to the DDNMF.

Further, DDNMF determines the specific service (and/or Application), discover one or more target UEs that can communicate with UE1 in proximity services at a designated time, a designated area (and/or location) and/or a designated proximity service communication range, and send the target UE information in the response message. to UE1; at the same time, the response message also carries the QoS parameters or QoE parameters (and/or targets) of the specific service (and/or application) specified in the proximity service communication parameters (or proximity service communication parameter set). UE1 establishes proximity service communication with one or more target UEs according to the information carried in the response message.

Optionally, the AF can set the following application-specific proximity service communication parameters based on the proximity service communication analysis information:

For specific applications:

1) Proximity business communication range (for example, within a radius of 100 meters with the UE as the center);

2) QoS or QoE requirements of adjacent services;

3) Valid time of proximity service communication;

4) Area/location adjacent to business communications.

That is, for a specific business (and/or application), it is required or recommended to use proximity service communication within a specified time, a specified area (and/or location) and/or a specified proximity service communication range, and meet the specified QoS/QoE requirements. .

Specifically, if the first functional entity is DDNMF, before sending the proximity service communication analysis request to the NWDAF, the DDNMF can also receive the proximity service request message sent by the first UE to request information about the target UE or request the proximity service communication required. Information. Optionally, the proximity service request message may be a proximity service direct discovery request message.

Optionally, if the DDNMF receives the ProSe identifier sent by the first UE, the DDNMF may determine the ProSe identifier based on the ProSe identifier carried in the direct discovery request message or the relay mode ProSe identifier (i.e., the relay mode ProSe identifier). Service code RSC), set the corresponding parameters in the proximity service communication analysis request (such as setting Application ID=ProSe identifier_1 or RSC_1).

Optionally, DDNMF further determines one or more of the following UE statuses or capabilities for one or more UEs that support specific proximity services (including non-relay proximity services and relay mode proximity services) based on the proximity service communication analysis information. :

1) Communication performance;

2)Available resources;

3) Relay performance;

4)Mobile performance;

5) UE position or relative position.

Further, DDNMF may determine a list of UEs that support proximity service communication arranged by priority based on the above-mentioned UE status or performance. For example, {(ProSe identifier_1: UE2 ID, UE3 ID, UE4 ID), (RSC_1: UE3 ID, UE5 ID)} is used to indicate that for the proximity service identified by ProSe identifier_1, UE2, UE3, and UE4 are prioritized in order for the proximity service. Communication; For the relay mode proximity service identified by RSC_1, UE3 and UE5 are prioritized as relay UEs in sequence.

Further, the DDNMF may send a direct discovery (Direct Discovery) response message to the first UE, where the direct discovery response message carries information about the UE that supports proximity service communication.

Optionally, the direct discovery response message carries: for each UE that supports proximity service communication, one or more of the following UE status or performance information: 1) communication performance; 2) available resources; 3) relay performance; 4 ) Mobility performance; 5) UE position or relative position. Alternatively, the direct discovery response message carries a list of UEs that support proximity service communication arranged by priority.

Further, the first UE determines to establish proximity service communication with one or more of the UEs based on the information carried in the direct discovery response message. Optionally, the first UE selects a UE whose performance (such as communication performance) reaches the desired performance and has sufficient available resources (such as 45% of resources available) to establish direct communication based on one or more pieces of status or performance information of each UE, Or select a UE whose relay performance reaches the desired performance and has sufficient available resources (for example, 45% of the resources are available) as the relay UE. Alternatively, if it is directly discovered that the response message carries a list of UEs supporting proximity service communication arranged in priority, the first UE will preferentially select a UE with a higher priority to establish proximity service communication.

Specifically, if the first functional entity is the first UE or DDNMF, after determining the proximity service communication policy, the proximity service communication policy may also be executed, that is, proximity service communication or proximity service discovery is performed according to the proximity service communication policy, so as to Implementing the successful establishment of proximity service communication between the first UE and at least one target UE.

Specifically, after determining the proximity service communication policy, the first UE may adopt proximity service communication with at least one target UE according to the indication information in the proximity service communication policy for instructing to adopt the proximity service communication, or may adopt the proximity service communication according to the indication information for instructing to adopt the relay. Instruction information of mode proximity service communication, using relay communication with at least one target UE; according to the information of the target application of proximity service communication in the proximity service communication policy, the area of proximity service communication, and the service quality QoS parameters of proximity service communication, in a specific Time, specific area, for specific services (or applications), and/or use specific QoS parameters for adjacent service discovery or adjacent service communication. If there is a target UE that supports one or more specific services according to the proximity service communication policy, proximity service communication can be used for the specific service, otherwise proximity service communication is not used.

Specifically, after determining the proximity service communication policy, DDNMF can, based on the proximity service communication parameters for a specific application in the proximity service communication policy, when receiving a direct discovery (Direct Discovery) request message from the first UE (for example, UE1), perform For a specific service (and/or application), one or more target UEs that can communicate with UE1 for proximity services are found within the designated time, designated area (and/or location) and/or designated proximity service communication range, and the target UE's The information is carried in the response message and sent to UE1; at the same time, the response message also carries the QoS parameters or QoE parameters (and/or targets) of the specific service (and/or application) specified in the proximity service communication policy. UE1 establishes proximity service communication with one or more target UEs according to the information carried in the response message.

In some embodiments, a communication method is provided and applied to the second functional entity. Specifically, the second functional entity may be NWDAF.

Figure 2 is a schematic flow chart of another communication method provided by an embodiment of the present disclosure. As shown in Figure 2, the method mainly includes the following steps:

S201: Collect input data related to proximity service communication of the first UE.

Specifically, the NWDAF can provide the UE, DDNMF, other network functions NF (such as application function AF, access and mobility management function AMF, local management function LMF, gateway mobile location center GMLC) or operation and maintenance according to the proximity service communication analysis request. The management OAM collects data (ie, input data) related to proximity service communication of the first UE.

Optionally, depending on the type of data (and/or information) collected, NWDAF can collect UE proximity service and/or application-related data from UE, DDNMF or AF, and collect UE location from UE, AF, AMF, LMF or GMLC. Or relative location information, collect UE proximity service communication performance-related data from UE, DDNMF, AF or OAM, collect UE mobility-related data from UE, AMF or AF, and collect UE resource usage-related data from UE.

S202: Based on the input data, determine the proximity service communication analysis information.

In this step, the proximity service communication analysis information includes statistical information and/or prediction information related to the proximity service communication of the first UE.

Specifically, NWDAF can analyze and process input data through AI algorithms to obtain proximity service communication analysis information.

Specifically, a proximity service communication analysis request from the PCF, the first UE, the DDNMF or the AF may be received to obtain the proximity service communication analysis information of the first UE.

Specifically, when sending proximity service communication analysis information to the first functional entity:

If the first functional entity is the first UE, the NWDAF may send the proximity service communication analysis information to the first UE in one of the following ways:

1) NWDAF sends the proximity service communication analysis information to the UPF, and the UPF sends the data packet containing the proximity service communication analysis information to the first UE through the user plane;

2) The NWDAF sends the proximity service communication analysis information to the core network control function (such as AMF or SMF), and the core network control function sends the proximity service communication analysis information to the first UE through control plane signaling.

Specifically, the identification information of the proximity service, or the identification information of the relay mode proximity service, can enable the first UE to determine whether to communicate directly or through a relay. The second functional entity performs proximity service communication on the first UE. The analysis can specifically analyze the performance information and status information of the first UE and its neighboring UEs, so that the target UE can be selected for the first UE, which can greatly improve the success rate of proximity service communication between the first UE and the target UE.

Specifically, the statistical information of the first UE and/or the at least one target UE may include first statistical information and second statistical information, and the prediction information may include first prediction information and second prediction information. The details can be shown in the aforementioned Table 1 and Table 2, which will not be described again here.

Specifically, the proximity service communication analysis request is consistent with the aforementioned proximity service communication analysis request applied to the first functional entity, and will not be described again here.

In some embodiments, the input data includes at least one of the following information: identification information of the proximity service; identification information of the proximity service in the relay mode; location information of the first UE and/or at least one target UE; the first UE and/or Relative location information of at least one target UE; performance of the first UE and/or at least one target UE; performance of a network or network functional entity serving the first UE and/or at least one target UE.

Specifically, the performance of the first UE and/or at least one target UE includes at least one of the following performance of the first UE and/or at least one target UE: proximity service communication performance, relay mode proximity service communication performance, service experience, Mobility performance, resource usage; and/or performance of the network or network function entity serving the first UE and/or at least one target UE, including at least one of the following performances of the network or network function entity: communication performance, energy consumption performance , resource usage, load status, congestion status.

Specifically, the input data can be as shown in Table 3 below:

Table 3 Input data table

It should be noted that the technical solution of the present disclosure is also applicable to other scenarios of direct and/or relay communication between terminal devices, such as vehicle-to-everything (V2X) communication, communication between drones, etc.

Generally speaking, the communication method provided by the present disclosure can enable the UE or the network to fully consider the status or performance of the adjacent service UE and other information when selecting the adjacent service UE or determining the adjacent service communication strategy, thereby improving the adjacent service communication performance and better Therefore, it is a technical solution that can improve the success rate of proximity business communication.

In some embodiments, a communication device is provided, applied to the first functional entity.

Figure 3 is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure. As shown in Figure 3, the communication device 300 includes:

The acquisition module 301 is configured to obtain the proximity service communication analysis information of the first UE, where the proximity service communication analysis information includes statistical information and/or prediction information related to the proximity service communication of the first UE;

The execution module 302 is configured to execute one of the following based on the proximity service communication analysis information:

Determine a proximity service communication policy, the proximity service communication policy is used to guide the first UE to conduct proximity service communication with at least one target UE; or,

Determine at least one target UE and perform proximity service communication with the at least one target UE.

In some embodiments, when obtaining the proximity service communication analysis information of the first UE, the acquisition module 301 is specifically configured to: send a proximity service communication analysis request to the second functional entity, and the proximity service communication analysis request is used to request to obtain the proximity service communication analysis information of the first UE. Proximity service communication analysis information; receiving proximity service communication analysis information from the second functional entity.

In some embodiments, the communication device 300 further includes a processing module (not shown), configured to perform one of the following after determining the proximity service communication policy: sending the proximity service communication policy to the first UE; or, communicating according to the proximity service The policy controls the proximity service communication of the first UE; or, the proximity service communication policy is sent to the third functional entity, so that the third functional entity controls the proximity service communication of the first UE according to the proximity service communication policy.

In some embodiments, the communication device 300 further includes a receiving module (not shown), which is specifically configured to: receive the proximity service request message sent by the first UE before obtaining the proximity service communication analysis information of the first UE, The proximity service request message is used to request information about the target UE or information required for proximity service communication.

In some embodiments, the execution module 302 is also configured to execute the proximity service communication policy after determining the proximity service communication policy.

In some embodiments, a communication device is provided and applied to the second functional entity.

Figure 4 is a schematic structural diagram of another communication device provided by an embodiment of the present disclosure. As shown in Figure 4, the communication device 400 includes:

Collection module 401, configured to collect input data related to proximity service communication of the first UE;

Determining module 402 is configured to determine proximity service communication analysis information based on input data, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE.

In some embodiments, the communication device 400 further includes a processing module (not shown), which is specifically configured to: receive proximity information from the first functional entity before collecting input data related to proximity service communication of the first UE. Service communication analysis request, the proximity service communication analysis request is used to request to obtain the proximity service communication analysis information of the first UE; and/or, after determining the proximity service communication analysis information, send the proximity service communication analysis information to the first functional entity.

It should be noted that the division of modules in the embodiment of the present disclosure is schematic and is only a logical function division. In actual implementation, there may be other division methods. In addition, each functional module in each embodiment of the present disclosure can be integrated into one processing module, each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software function modules.

If the above integrated modules are implemented in the form of software function modules and sold or used as independent products, they can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including a number of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods of various embodiments of the present disclosure. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program code. .

It should be noted here that the above-mentioned device provided by the embodiment of the present disclosure can implement all the method steps implemented by the above-mentioned method embodiment, and can achieve the same technical effect. The same as the method embodiment in this embodiment will no longer be used. The parts and beneficial effects will be described in detail.

In some embodiments, a communications device is also provided.

Figure 5 is a schematic structural diagram of a communication device provided by an embodiment of the present disclosure. As shown in Figure 5, the communication device includes: a memory 511, a transceiver 512, and a processor 513.

Memory 511 is used to store computer programs;

Transceiver 512 for receiving and transmitting data under the control of processor 513.

In FIG. 5 , the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 513 and various circuits of the memory represented by memory 511 are linked together. The bus architecture can also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides the interface. Transceiver 512 may be a plurality of elements, including a transmitter and a receiver, providing a unit for communicating with various other devices over transmission media, including wireless channels, wired channels, optical cables, etc. Transmission medium. For different UEs, the user interface 514 can also be an interface capable of externally connecting internal and external required equipment. The connected equipment includes but is not limited to a keypad, a display, a speaker, a microphone, a joystick, etc.

The processor 513 is responsible for managing the bus architecture and general processing, and the memory 511 can store data used by the processor 513 when performing operations.

Optionally, the processor 513 can be a CPU (central processing unit), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array, field programmable gate array) or CPLD (Complex Programmable Logic Device, complex programmable logic devices), the processor can also adopt a multi-core architecture.

The processor 513 and the memory 511 may also be physically separated.

The processor 513 reads the computer program in the memory 511 and performs the following operations:

Obtain proximity service communication analysis information of the first UE, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE;

Based on the proximity service communication analysis information, perform one of the following:

In some embodiments, the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of at least one target UE;

Statistical information or prediction information for the relative position of at least one target UE;

first statistical information or first prediction information, the first statistical information or first prediction information including statistical information or prediction information for performance of the first UE and/or at least one target UE;

The second statistical information or second prediction information includes statistical information or prediction information for performance of a network or network function entity serving the first UE and/or at least one target UE.

In some embodiments, the first statistical information or the first prediction information includes the first UE and/or the at least one target Statistical information or prediction information of at least one of the following performances of the UE: proximity service communication performance, relay mode proximity service communication performance, service experience, mobility performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or network functional entity: communication performance, energy consumption performance, resource usage, load status, and congestion status.

In some embodiments, obtaining proximity service communication analysis information of the first UE specifically includes:

Send a proximity service communication analysis request to the second functional entity, where the proximity service communication analysis request is used to request acquisition of proximity service communication analysis information of the first UE;

Receive proximity service communication analysis information from the second functional entity.

In some embodiments, the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

The identifier of the relay mode proximity service is used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

The identification information of the application is used to indicate the proximity service communication analysis information of the requesting application;

Area information, used to indicate adjacent service communication analysis information within the requested area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate proximity service communication analysis information within the requested time period.

In some embodiments, the proximity service communication policy includes at least one of the following:

Instruction information used to instruct the use of proximity service communication;

Instruction information used to indicate the use of relay mode proximity service communication;

Information of at least one target UE;

Information about target applications for proximity service communications;

The time of adjacent business communication;

Areas adjacent to business communications;

Quality of service QoS parameters for proximity service communications.

In some embodiments, after determining the proximity service communication policy, the method further includes:

Send the proximity service communication policy to the first UE; or,

Control the proximity service communication of the first UE according to the proximity service communication policy; or,

Send the proximity service communication policy to the third functional entity, so that the third functional entity controls the proximity service communication of the first UE according to the proximity service communication policy.

In some embodiments, before obtaining the proximity service communication analysis information of the first UE, the method further includes:

Receive a proximity service request message sent by the first UE, where the proximity service request message is used to request information about the target UE or request information required for proximity service communication.

Enforce proximity business communications strategy.

In some embodiments, a communications device is also provided.

FIG. 6 is a schematic structural diagram of another communication device provided by an embodiment of the present disclosure. As shown in FIG. 6 , the communication device includes: a memory 611, a transceiver 612, and a processor 613.

Memory 611 is used to store computer programs;

Transceiver 612 for receiving and transmitting data under the control of processor 613.

In FIG. 6 , the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 613 and various circuits of the memory represented by memory 611 are linked together. The bus architecture can also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are all well known in the art and therefore will not be described further herein. The bus interface provides the interface. The transceiver 612 may be a plurality of elements, including a transmitter and a receiver, providing a unit for communicating with various other devices over transmission media, including wireless channels, wired channels, optical cables, and other transmission media. The processor 613 is responsible for managing the bus architecture and general processing, and the memory 611 can store data used by the processor 613 when performing operations.

The processor 613 may be a central processing unit (CPU), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field-Programmable Gate Array, FPGA) or a complex programmable logic device (Complex Programmable Logic Device, CPLD), the processor can also adopt a multi-core architecture.

The processor 613 is used to read the computer program in the memory 611 and perform the following operations:

Collect input data related to proximity service communication of the first UE;

Based on the input data, proximity service communication analysis information is determined, and the proximity service communication analysis information includes statistical information and/or prediction information related to the first UE proximity service communication.

In some embodiments, before collecting input data related to proximity service communication of the first UE, the method further includes:

Receive a proximity service communication analysis request from the first functional entity, the proximity service communication analysis request is used to request to obtain proximity service communication analysis information of the first UE; and/or,

After determining the proximity business communication analysis information, it also includes:

Send proximity service communication analysis information to the first functional entity.

In some embodiments, the first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or at least one target UE: proximity service communication performance, relay mode proximity service Communication performance, business experience, mobile performance, resource usage; and/or,

In some embodiments, the input data includes at least one of the following information:

Identification information of adjacent businesses;

Identification information of adjacent services in relay mode;

Location information of the first UE and/or at least one target UE;

Relative location information of the first UE and/or at least one target UE;

Performance of the first UE and/or at least one target UE;

Performance of the network or network functional entity serving the first UE and/or at least one target UE.

In some embodiments, the performance of the first UE and/or at least one target UE includes at least one of the following performance of the first UE and/or at least one target UE: proximity service communication performance, relay mode proximity service communication performance, Business experience, mobile performance, resource usage; and/or,

The performance of the network or network function entity serving the first UE and/or at least one target UE includes at least one of the following performances of the network or network function entity: communication performance, energy consumption performance, resource usage, load status, and congestion status.

In some embodiments, a processor-readable storage medium is also provided, the processor-readable storage medium stores a computer program, and the computer program is used to cause the processor to execute the method of any one of the method embodiments.

The processor-readable storage medium may be any available media or data storage device that the processor can access, including but not limited to magnetic storage (such as floppy disks, hard disks, tapes, magneto-optical disks (MO), etc.), optical storage (such as CDs, DVD, BD, HVD, etc.), and semiconductor memories (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid state drive (SSD)), etc.

In some embodiments, a computer program product is provided, comprising a computer program for causing a processor to perform a method of any of the method embodiments.

Those skilled in the art will appreciate that embodiments of the present disclosure may be provided as methods, systems, or computer program products. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment that combines software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) embodying computer-usable program code therein.

The disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a process or processes of a flowchart and/or a block or blocks of a block diagram.

These processor-executable instructions may also be stored in a processor-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the generation of instructions stored in the processor-readable memory includes the manufacture of the instruction means product, the instruction device implements the function specified in one process or multiple processes in the flow chart and/or one block or multiple blocks in the block diagram.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby causing the computer or other programmable device to The instructions that are executed provide steps for implementing the functions specified in a process or processes of the flowchart diagrams and/or a block or blocks of the block diagrams.

Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the spirit and scope of the disclosure. In this way, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and equivalent technologies, the present disclosure is also intended to include these modifications and variations.

Claims

A communication method, characterized in that it is applied to the first functional entity and includes:

Obtain proximity service communication analysis information of the first user equipment UE, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE;

Based on the proximity service communication analysis information, perform one of the following:

Determine a proximity service communication policy, the proximity service communication policy is used to guide the first UE to conduct proximity service communication with at least one target UE; or,

Determine at least one target UE, and perform proximity service communication with the at least one target UE.
The method according to claim 1, characterized in that the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of the at least one target UE;

Statistical information or prediction information for the relative position of the at least one target UE;

first statistical information or first prediction information, the first statistical information or the first prediction information including statistical information or prediction information for the performance of the first UE and/or the at least one target UE;

Second statistical information or second prediction information, the second statistical information or the second prediction information including performance of a network or network functional entity serving the first UE and/or the at least one target UE. Statistical or predictive information.
The method according to claim 2, characterized in that:

The first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode Proximity service communication performance, service experience, mobility performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, congestion status.
The method according to claim 1, characterized in that the proximity service communication strategy includes at least one of the following:

Instruction information used to instruct the use of proximity service communication;

Instruction information used to indicate the use of relay mode proximity service communication;

Information about the at least one target UE;

Information about target applications for proximity service communications;

The time of adjacent business communication;

Areas adjacent to business communications;

Quality of service QoS parameters for proximity service communications.
The method according to any one of claims 1 to 4, characterized in that obtaining the proximity service communication analysis information of the first UE includes:

Send a proximity service communication analysis request to the second functional entity, where the proximity service communication analysis request is used to request acquisition of proximity service communication analysis information of the first UE;

Receive the proximity service communication analysis information from the second functional entity.
The method according to claim 5, characterized in that the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or the at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

An identifier of the relay mode proximity service, used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

Identification information of the application, used to indicate requesting proximity service communication analysis information of the application;

Area information, used to indicate requesting proximity service communication analysis information within the area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate requesting proximity service communication analysis information within the time period.
The method according to any one of claims 1 to 4, characterized in that after determining the proximity service communication policy, it further includes:

Send the proximity service communication policy to the first UE; or,

Control the proximity service communication of the first UE according to the proximity service communication policy; or,

Send the proximity service communication policy to a third functional entity, so that the third functional entity controls proximity service communication of the first UE according to the proximity service communication policy.
The method according to any one of claims 1 to 4, characterized in that before obtaining the proximity service communication analysis information of the first UE, it further includes:

Receive a proximity service request message sent by the first UE, where the proximity service request message is used to request information about the target UE or request information required for proximity service communication.
The method according to any one of claims 1 to 4, characterized in that after determining the proximity service communication policy, it further includes:

Enforce the proximity service communication policy.
A communication method, characterized in that it is applied to the second functional entity, including:

Collect input data related to proximity service communication of the first UE;

Based on the input data, proximity service communication analysis information is determined, where the proximity service communication analysis information includes statistical information and/or prediction information related to the first UE proximity service communication.
The method according to claim 10, characterized in that before collecting the input data related to the proximity service communication of the first UE, it further includes:

Receive a proximity service communication analysis request from the first functional entity, the proximity service communication analysis request is used to request to obtain the proximity service communication analysis information of the first UE; and/or,

After determining the proximity service communication analysis information, the method further includes:

Send the proximity service communication analysis information to the first functional entity.
The method according to claim 11, characterized in that the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

An identifier of the relay mode proximity service, used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

Identification information of the application, used to indicate requesting proximity service communication analysis information of the application;

Area information, used to indicate requesting proximity service communication analysis information within the area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate requesting proximity service communication analysis information within the time period.
The method according to any one of claims 10 to 12, characterized in that the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of at least one target UE;

Statistical information or prediction information for the relative position of the at least one target UE;

first statistical information or first prediction information, the first statistical information or the first prediction information including statistical information or prediction information for the performance of the first UE and/or the at least one target UE;

Second statistical information or second prediction information, the second statistical information or the second prediction information including performance of a network or network functional entity serving the first UE and/or the at least one target UE. Statistical or predictive information.
The method according to claim 13, characterized in that:

The first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode Proximity service communication performance, service experience, mobile performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, congestion status.
The method according to claim 10 or 11, characterized in that the input data includes at least one of the following information:

Identification information of adjacent businesses;

Identification information of adjacent services in relay mode;

Location information of the first UE and/or at least one target UE;

Relative location information of the first UE and/or the at least one target UE;

Performance of the first UE and/or the at least one target UE;

Performance of the network or network functional entity serving the first UE and/or the at least one target UE.
The method according to claim 15, characterized in that:

The performance of the first UE and/or the at least one target UE includes at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode proximity service communication Performance, business experience, mobile performance, resource usage; and/or,

The performance of the network or network functional entity serving the first UE and/or the at least one target UE includes at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance , resource usage, load status, congestion status.
A communication device, characterized in that it is applied to a first functional entity and includes:

An acquisition module, configured to acquire proximity service communication analysis information of the first UE, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE;

An execution module, configured to execute one of the following based on the proximity service communication analysis information:

Determine a proximity service communication policy, the proximity service communication policy is used to guide the first UE to conduct proximity service communication with at least one target UE; or,

Determine at least one target UE, and perform proximity service communication with the at least one target UE.
The communication device according to claim 17, wherein the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of the at least one target UE;

Statistical information or prediction information for the relative position of the at least one target UE;

first statistical information or first prediction information, the first statistical information or the first prediction information including statistical information or prediction information for the performance of the first UE and/or the at least one target UE;

Second statistical information or second prediction information, the second statistical information or the second prediction information including performance of a network or network functional entity serving the first UE and/or the at least one target UE. Statistical or predictive information.
The communication device according to claim 18, characterized in that:

The first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode Proximity service communication performance, service experience, mobility performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, congestion status.
The communication device according to claim 17, wherein the proximity service communication strategy includes at least one of the following:

Instruction information used to instruct the use of proximity service communication;

Instruction information used to indicate the use of relay mode proximity service communication;

Information about the at least one target UE;

Information about target applications for proximity service communications;

The time of adjacent business communication;

Areas adjacent to business communications;

Quality of service QoS parameters for proximity service communications.
The communication device according to any one of claims 17 to 20, wherein the acquisition module acquires the proximity service communication analysis information of the first UE through the following steps:

Send a proximity service communication analysis request to the second functional entity, where the proximity service communication analysis request is used to request acquisition of proximity service communication analysis information of the first UE;

Receive the proximity service communication analysis information from the second functional entity.
The communication device according to claim 21, wherein the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or the at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

An identifier of the relay mode proximity service, used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

Identification information of the application, used to indicate requesting proximity service communication analysis information of the application;

Area information, used to indicate requesting proximity service communication analysis information within the area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate requesting proximity service communication analysis information within the time period.
The communication device according to any one of claims 17 to 20, further comprising:

The processing module is configured to perform one of the following after determining the proximity service communication policy:

Send the proximity service communication policy to the first UE; or,

Control the proximity service communication of the first UE according to the proximity service communication policy; or,

Send the proximity service communication policy to a third functional entity, so that the third functional entity controls proximity service communication of the first UE according to the proximity service communication policy.
The communication device according to any one of claims 17 to 20, further comprising:

A receiving module, configured to receive a proximity service request message sent by the first UE before obtaining the proximity service communication analysis information of the first UE. The proximity service request message is used to request information or request for the target UE. Information required for proximity business communications.
The communication device according to any one of claims 17 to 20, wherein the execution module is further configured to execute the proximity service communication policy after determining the proximity service communication policy.
A communication device, characterized in that it is applied to a second functional entity and includes:

A collection module, configured to collect input data related to proximity service communication of the first UE;

A determining module, configured to determine proximity service communication analysis information based on the input data, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE.
The communication device according to claim 26, further comprising:

A processing module configured to receive a proximity service communication analysis request from the first functional entity before collecting input data related to proximity service communication of the first UE, where the proximity service communication analysis request is used to request acquisition of the third proximity service communication. The proximity service communication analysis information of a UE; and/or, after determining the proximity service communication analysis information, send the proximity service communication analysis information to the first functional entity.
The communication device according to claim 27, wherein the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

An identifier of the relay mode proximity service, used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

Identification information of the application, used to indicate requesting proximity service communication analysis information of the application;

Area information, used to indicate requesting proximity service communication analysis information within the area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate requesting proximity service communication analysis information within the time period.
The communication device according to any one of claims 26 to 28, wherein the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of at least one target UE;

Statistical information or prediction information for the relative position of the at least one target UE;

first statistical information or first prediction information, the first statistical information or the first prediction information including statistical information or prediction information for the performance of the first UE and/or the at least one target UE;

Second statistical information or second prediction information, the second statistical information or the second prediction information including performance of a network or network functional entity serving the first UE and/or the at least one target UE. Statistical or predictive information.
The communication device according to claim 29, characterized in that:

The first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode Proximity service communication performance, service experience, mobile performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, congestion status.
The communication device according to claim 26 or 27, characterized in that the input data includes at least one of the following information:

Identification information of adjacent businesses;

Identification information of adjacent services in relay mode;

Location information of the first UE and/or at least one target UE;

Relative location information of the first UE and/or the at least one target UE;

Performance of the first UE and/or the at least one target UE;

Performance of the network or network functional entity serving the first UE and/or the at least one target UE.
The communication device according to claim 31, characterized in that:

The performance of the first UE and/or the at least one target UE includes at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode proximity service communication Performance, business experience, mobile performance, resource usage; and/or,

The performance of the network or network functional entity serving the first UE and/or the at least one target UE includes at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance , resource usage, load status, congestion status.
A communication device, characterized by including: a memory, a transceiver, and a processor:

The memory is used to store computer programs;

The transceiver is used to send and receive data under the control of the processor;

The processor is configured to read the computer program in the memory and perform the following operations:

Obtain proximity service communication analysis information of the first UE, where the proximity service communication analysis information includes statistical information and/or prediction information related to proximity service communication of the first UE;

Based on the proximity service communication analysis information, perform one of the following:

Determine a proximity service communication policy, the proximity service communication policy is used to guide the first UE to conduct proximity service communication with at least one target UE; or,

Determine at least one target UE, and perform proximity service communication with the at least one target UE.
The communication device according to claim 33, wherein the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of the at least one target UE;

Statistical information or prediction information for the relative position of the at least one target UE;

first statistical information or first prediction information, the first statistical information or the first prediction information including statistical information or prediction information for the performance of the first UE and/or the at least one target UE;

Second statistical information or second prediction information, the second statistical information or the second prediction information including performance of a network or network functional entity serving the first UE and/or the at least one target UE. Statistical or predictive information.
The communication device according to claim 34, characterized in that:

The first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode Proximity service communication performance, service experience, mobility performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, congestion status.
The communication device according to any one of claims 33 to 35, wherein the obtaining the proximity service communication analysis information of the first UE specifically includes:

Send a proximity service communication analysis request to the second functional entity, where the proximity service communication analysis request is used to request acquisition of proximity service communication analysis information of the first UE;

Receive the proximity service communication analysis information from the second functional entity.
The communication device according to claim 36, characterized in that the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or the at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

An identifier of the relay mode proximity service, used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

Identification information of the application, used to indicate requesting proximity service communication analysis information of the application;

Area information, used to indicate requesting proximity service communication analysis information within the area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate requesting proximity service communication analysis information within the time period.
The communication device according to any one of claims 33 to 35, characterized in that the proximity service communication policy includes at least one of the following:

Instruction information used to instruct the use of proximity service communication;

Instruction information used to indicate the use of relay mode proximity service communication;

Information about the at least one target UE;

Information about target applications for proximity service communications;

The time of adjacent business communication;

Areas adjacent to business communications;

Quality of service QoS parameters for proximity service communications.
The communication device according to any one of claims 33 to 35, characterized in that after determining the proximity service communication policy, it further includes:

Send the proximity service communication policy to the first UE; or,

Control the proximity service communication of the first UE according to the proximity service communication policy; or,

Send the proximity service communication policy to a third functional entity, so that the third functional entity controls proximity service communication of the first UE according to the proximity service communication policy.
The communication device according to any one of claims 33 to 35, characterized in that before obtaining the proximity service communication analysis information of the first UE, it further includes:

Receive a proximity service request message sent by the first UE, where the proximity service request message is used to request the target Information about the UE or information required to request proximity service communication.
The communication device according to claim 40, characterized in that after determining the proximity service communication policy, it further includes:

Enforce the proximity service communication policy.
A communication device, characterized by including: a memory, a transceiver, and a processor:

The memory is used to store computer programs;

The transceiver is used to send and receive data under the control of the processor;

The processor is configured to read the computer program in the memory and perform the following operations:

Collect input data related to proximity service communication of the first UE;

Based on the input data, proximity service communication analysis information is determined, where the proximity service communication analysis information includes statistical information and/or prediction information related to the first UE proximity service communication.
The communication device according to claim 42, characterized in that:

Before collecting the input data related to the proximity service communication of the first UE, the method further includes:

Receive a proximity service communication analysis request from the first functional entity, the proximity service communication analysis request is used to request to obtain the proximity service communication analysis information of the first UE; and/or,

After determining the proximity service communication analysis information, the method further includes:

Send the proximity service communication analysis information to the first functional entity.
The communication device according to claim 42 or 43, characterized in that the proximity service communication analysis information includes at least one of the following information:

Identification information of adjacent services, or identification information of adjacent services in relay mode;

Statistical information or prediction information for the location of the first UE;

Statistical information or prediction information for the relative position of the first UE;

Statistical information or prediction information for the location of at least one target UE;

Statistical information or prediction information for the relative position of the at least one target UE;

first statistical information or first prediction information, the first statistical information or the first prediction information including statistical information or prediction information for the performance of the first UE and/or the at least one target UE;

Second statistical information or second prediction information, the second statistical information or the second prediction information including performance of a network or network functional entity serving the first UE and/or the at least one target UE. Statistical or predictive information.
The communication device according to claim 44, characterized in that:

The first statistical information or the first prediction information includes statistical information or prediction information on at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode Proximity service communication performance, service experience, mobile performance, resource usage; and/or,

The second statistical information or the second prediction information includes statistical information or prediction information on at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, congestion status.
The communication device according to claim 42 or 43, characterized in that the proximity service communication analysis request includes at least one of the following information:

Proximity service communication description information, used to indicate requesting proximity service communication analysis information;

Analysis target information, used to indicate a request to analyze the first UE and/or at least one target UE;

The identifier of the proximity service is used to indicate the proximity service communication analysis information requesting the proximity service;

An identifier of the relay mode proximity service, used to indicate the proximity service communication analysis information requesting the relay mode proximity service;

Identification information of the application, used to indicate requesting proximity service communication analysis information of the application;

Area information, used to indicate requesting proximity service communication analysis information within the area;

Network slice information, used to indicate requesting proximity service communication analysis information within the network slice;

Time period information, used to indicate requesting proximity service communication analysis information within the time period.
The communication device according to claim 42 or 43, characterized in that the input data includes at least one of the following information:

Identification information of adjacent businesses;

Identification information of adjacent services in relay mode;

Location information of the first UE and/or at least one target UE;

Relative location information of the first UE and/or the at least one target UE;

Performance of the first UE and/or the at least one target UE;

Performance of the network or network functional entity serving the first UE and/or the at least one target UE.
The communication device according to claim 47, characterized in that:

The performance of the first UE and/or the at least one target UE includes at least one of the following performance of the first UE and/or the at least one target UE: proximity service communication performance, relay mode proximity service communication Performance, business experience, mobile performance, resource usage; and/or,

the performance of the network or network functional entity serving the first UE and/or the at least one target UE, Including at least one of the following performance of the network or the network functional entity: communication performance, energy consumption performance, resource usage, load status, and congestion status.
A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program, and the computer program is used to cause the processor to execute the method according to any one of claims 1 to 16 .