CN112672364B

CN112672364B - Policy configuration method, device, related equipment and storage medium

Info

Publication number: CN112672364B
Application number: CN201910984774.5A
Authority: CN
Inventors: 解宇瑄; 孙奇
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2019-10-16
Filing date: 2019-10-16
Publication date: 2024-03-19
Anticipated expiration: 2039-10-16
Also published as: CN112672364A

Abstract

The embodiment of the invention discloses a policy configuration method, a policy configuration device, a network management entity, access network equipment and a storage medium. The method comprises the following steps: the network management entity transmits first information to the access network equipment; the first information characterizes a flow strategy; the first information at least comprises second information and third information; the second information includes at least one of: an implementation object identification of the flow strategy; a filter corresponding to an implementation object of the flow strategy; the third information includes at least one of: a flow optimization target of the flow strategy; the available resource information corresponding to the flow strategy; wherein the filter is configured to determine an implementation object of the traffic policy for the access network device.

Description

Policy configuration method, device, related equipment and storage medium

Technical Field

The present invention relates to the field of wireless communications, and in particular, to a policy configuration method, apparatus, related device, and storage medium.

Background

In long term evolution (LTE, long Term Evolution) systems, the management of radio resource applications for the radio access network (RAN, wireless Access Network) is achieved by a network management parameter configuration function (CM), specifically by which individual radio parameters are configured, including radio measurements, handover parameters, reselection parameters, etc. However, the configuration of the wireless parameters depends on the experience of network management optimization specialists, and intelligent automation is lacking; on the other hand, this configuration is poor in flexibility and timeliness.

Disclosure of Invention

In order to solve the related technical problems, the embodiment of the invention provides a policy configuration method, a policy configuration device, related equipment and a storage medium.

The technical scheme of the embodiment of the invention is realized as follows:

the embodiment of the invention provides a policy configuration method which is applied to a network management entity and comprises the following steps:

issuing first information to access network equipment; the first information characterizes a flow strategy; the first information at least comprises second information and third information;

the second information includes at least one of:

an implementation object identification of the flow strategy; a filter corresponding to an implementation object of the flow strategy;

the third information includes at least one of:

a flow optimization target of the flow strategy; the available resource information corresponding to the flow strategy; wherein the filter is configured to determine an implementation object of the traffic policy for the access network device.

In the above scheme, the implementation object identifier of the flow policy is one of the following identifiers:

cell identification;

a terminal identifier;

group identification.

In the above scheme, the filter includes fourth information and fifth information; the fourth information characterizes filtering parameters; and the fifth information represents the filtering condition corresponding to the filtering parameter.

In the above solution, the optimization objective of the flow policy includes at least one of the following:

a cell-level traffic optimization objective;

user-level traffic optimization objectives.

In the above scheme, the second information includes an implementation object identifier of the flow policy; the implementation object identifier of the flow strategy is a cell identifier;

the available resource information corresponding to the flow policy at least indicates at least one of the following:

whether the corresponding cell of the cell identifier can accommodate the terminal or not;

a neighbor priority list of the cell corresponding to the cell identifier;

the cell identifier corresponds to a switching priority list of user types under the cell.

In the above scheme, the second information includes an implementation object identifier of the flow policy; the implementation object identification of the flow strategy is a terminal identification or a group identification;

the available resource information corresponding to the flow policy at least indicates:

the switching priority of the terminal corresponding to the implementation object identifier;

and the implementation object identifies a candidate carrier priority ranking list or a candidate cell priority ranking list of the corresponding terminal.

In the above solution, the second information includes a filter corresponding to an implementation object of the flow policy; the implementation object of the flow strategy is a cell;

whether the cell meeting the condition corresponding to the filter can accept the terminal or not;

and whether the cell meeting the condition corresponding to the filter can initiate a cell switching flow or not.

In the above solution, the second information includes a filter corresponding to an implementation object of the flow policy; the implementation object of the flow strategy is a terminal;

the priority of the switching frequency point of the terminal meeting the condition corresponding to the filter;

a handover prioritized list of user types.

In the above solution, the second information includes an implementation object identifier of the flow policy and a filter corresponding to the implementation object of the flow policy; the implementation object identifier of the flow strategy is a cell identifier; the implementation object corresponding to the filter is a terminal;

a neighbor priority list of a cell corresponding to the cell identifier;

and different types of terminal switching grades meeting the conditions corresponding to the filter under the cell corresponding to the cell identifier.

In the above solution, the second information includes an implementation object identifier of the flow policy and a filter corresponding to the implementation object of the flow policy; the implementation object identification of the flow strategy is a terminal identification or a group identification; the implementation object of the filter is a cell;

implementing the switching priority of the terminal corresponding to the object identifier under the cell meeting the condition corresponding to the filter; and/or implementing a priority ranking list of candidate carriers or candidate cells of the terminal corresponding to the object identifier under the cells meeting the conditions corresponding to the filter.

The embodiment of the invention also provides a strategy configuration method which is applied to the access network equipment and comprises the following steps:

receiving first information issued by a network management entity;

using the first information to perform flow optimization; wherein the first information characterizes a traffic policy; the first information at least comprises second information and third information;

the second information includes at least one of:

an implementation object identification of the flow strategy; a filter corresponding to an implementation object of the flow strategy; the filter is used for the access network equipment to determine an implementation object of the flow strategy;

the third information includes at least one of:

a flow optimization target of the flow strategy; and the available resource information corresponding to the flow strategy.

Cell identification;

a terminal identifier;

group identification.

a cell-level traffic optimization objective;

user-level traffic optimization objectives.

a neighbor priority list of the cell corresponding to the cell identifier;

a handover prioritized list of user types.

a neighbor priority list of a cell corresponding to the cell identifier;

The embodiment of the invention provides a strategy configuration device, which comprises:

the issuing unit is used for issuing first information to the access network equipment; the first information characterizes a flow strategy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

a flow optimization target of the flow strategy; the available resource information corresponding to the flow strategy; wherein,

the filter is used for the access network equipment to determine an implementation object of the traffic policy.

the receiving unit is used for receiving the first information issued by the network management entity;

the optimizing unit is used for optimizing the flow by utilizing the first information; wherein the first information characterizes a traffic policy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

The embodiment of the invention provides a network management entity, which comprises the following steps: a first processor and a first communication interface; wherein,

The first communication interface is used for issuing first information to the access network equipment; the first information characterizes a flow strategy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

The embodiment of the invention provides access network equipment, which comprises the following components:

the second communication interface is used for receiving the first information issued by the network management entity;

the second processor is used for optimizing the flow by using the first information; wherein the first information characterizes a traffic policy; the first information at least comprises second information and third information;

the second information includes at least one of:

The third information includes at least one of:

The embodiment of the invention provides a network management entity, which comprises the following steps: a first processor and a first memory for storing a computer program capable of running on the processor,

the first processor is configured to execute any method step on the network management entity side when running the computer program.

The embodiment of the invention provides access network equipment, which comprises the following components: a second processor and a second memory for storing a computer program capable of running on the processor,

and the second processor is used for executing any method step at the access network equipment side when running the computer program.

The embodiment of the invention provides a storage medium, on which a computer program is stored, the computer program, when being executed by a processor, realizes the steps of any method at the network management entity side or realizes the steps of any method at the access network equipment side.

The policy configuration method, the policy configuration device, the related equipment and the storage medium provided by the embodiment of the invention are that a network management entity transmits first information to access network equipment; the first information characterizes a flow strategy; the first information at least comprises second information and third information; the second information includes at least one of the following; an implementation object identification of the flow strategy; a filter corresponding to an implementation object of the flow strategy; the third information includes at least one of: a flow optimization target of the flow strategy; the available resource information corresponding to the flow strategy; wherein the filter is used for the access network equipment to determine an implementation object of the flow strategy; and after receiving the first information issued by the network management entity, the access network equipment performs flow optimization by using the first information, wherein the policy comprises: at least one of the implementation object and the filter corresponding to the implementation object, at least one of the traffic optimization target and the available resource corresponding to the strategy, specifies the form of the strategy, so that the network management entity can make more flexible and dynamic traffic strategies according to different scene demands, thereby optimizing traffic by the access network equipment more finely and efficiently, further improving the network service level better and improving the user service experience.

Drawings

FIG. 1 is a schematic diagram of a network architecture according to an embodiment of the present invention;

fig. 2 is a flowchart of a method for policy configuration at a network management entity side according to an embodiment of the present invention;

fig. 3 is a flowchart of a method for policy configuration at an access network device side according to an embodiment of the present invention;

FIG. 4 is a flowchart of a method for policy configuration according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a policy configuration device according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of another policy configuration device according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a network management entity according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of an access network device according to an embodiment of the present invention;

fig. 9 is a schematic diagram of a policy configuration system according to an embodiment of the invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples.

As described above, in the LTE system, management of RAN radio resource applications (which may be understood as optimization of radio traffic) is achieved by configuring various parameters of LTE, including: wireless measurements, handover parameters, reselection parameters, etc., such as thresholds for A2, A3, A4 events, threshold bias, and decision time hysteresis range, etc., have several drawbacks:

In the first aspect, the configuration of the wireless parameters depends on the experience of network optimization specialists, so that intelligent automation is lacking;

in the second aspect, in the LTE system, the wireless traffic optimization is based on parameter configuration of network management, and is implemented by a radio resource management (RRM, radio Resource Management) algorithm deployed in an evolved node B (eNB), and taking load balancing as an example, the eNB initiates a handover procedure according to a Measurement Report (MR) reported by a User Equipment (UE) and a neighbor cell load based on configured cell handover parameters to adjust the distribution of wireless traffic. The RRM algorithm in the RAN device (i.e., eNB) is relatively closed, i.e., it is invisible during management, and only these configurable radio parameters can be exposed, so for a fine scenario, it is difficult for such a unified strategy for cell-level parameter adjustment to provide a flexible and efficient optimization scheme, so that the management flexibility will be affected;

in the third aspect, the timeliness of the radio resource management mode configured by the network management parameters is poor, and the requirements of certain specific scenes requiring fast switching and fast balancing cannot be met.

Based on this, in the fifth generation mobile communication technology (5G) system, the radio resource management manner can be more open, intelligent, flexible and efficient, so that the policy-based radio resource management is introduced, in the related art, the policy management flow initiated by the network management entity has been primarily defined, but the specific presentation form and content of the policy need to be further studied.

Meanwhile, the network management entity serves as a centralized point and has more comprehensive cell-level and UE-level information, and based on the centralized point, the network management entity can customize algorithm logic for specific objects (cells and/or UE) of specific scenes, so that the flow optimization strategy can be adjusted to achieve different management targets to adapt to different scene requirements, and a more flexible and dynamic wireless flow optimization strategy scheme is made.

In various embodiments of the present invention, the traffic policy is transmitted by the network management entity to the access network device, and the issued traffic policy contains a policy identifier; the issued flow strategy also comprises at least one of an implementation object identifier of the flow strategy and a filter corresponding to an implementation object of the flow strategy; the issued flow strategy also comprises at least one of a flow optimization target of the flow strategy and available resource information corresponding to the flow strategy.

The scheme of the embodiment of the invention is realized based on an open radio access network (O-RAN) architecture, in the O-RAN architecture, an artificial intelligence optimization wireless control flow is utilized, as shown in fig. 1, a Non-real-time wireless intelligent controller (Non-RT RIC) is introduced into the O-RAN architecture on the basis of a traditional network management (can be understood as being arranged on a network management entity), a Near-real-time wireless intelligent controller (Near-RT RIC) is introduced into the traditional radio access network side, and an A1 interface exists between the Non-RT RIC and the Near-RT RIC. Through the A1 interface, the Non-RT RIC may be used to issue radio resource management policies (which may be referred to as A1 policies), i.e., issue traffic policies. The Non-RT RIC is used for generating A1policy, and the Near-RT RIC is a radio access network side function enhancing entity (which may be understood as being set on an access network device), and derives a specific radio resource optimizing scheme through the received A1policy, that is, performs traffic optimization.

An embodiment of the present invention provides a policy configuration method, applied to a network management entity, as shown in fig. 2, including:

step 201: and issuing the first information to the access network equipment.

Wherein the first information characterizes a traffic policy.

Here, in actual application, the access network device refers to a device that provides an access network service for a terminal, and may be a RAN device, and in a 5G system, the access network device may be a next generation node B (gNB), or the like.

Based on the architecture shown in fig. 1, the network management entity may issue the first information to the access network device through an A1 interface.

When the network management entity issues the traffic policy to the access network device in actual application, different traffic policies can be distinguished by using the traffic policy identifier.

The network management entity needs to determine the traffic policy and then issues the traffic policy to the access network device.

Based on this, in an embodiment, as shown in fig. 2, the method may further include:

step 200: the first information is determined.

When in actual application, the flow strategy can be configured on the network management entity in advance so that the network management entity can determine the flow strategy; of course, the network management entity may also determine the traffic policy by combining its algorithm according to the information of the cell and the UE grasped by itself. Here, the embodiment of the present invention is not limited to the process how the network management entity determines the traffic policy in combination with its algorithm.

The first information includes at least second information and third information.

Wherein the second information comprises at least one of:

an implementation object identification of the flow strategy; and a filter (English may express a filter) corresponding to the implementation object of the traffic policy, where the filter is used for the access network device to determine the implementation object of the traffic policy.

That is, the two parameters of the implementation object identifier and the filter corresponding to the implementation object of the flow policy may be used alone or in combination.

When the traffic policy implementation object is a Cell-level policy implementation object in actual application, the object identifier may be a Cell (Cell) ID, where a certain Cell ID may indicate a certain specific Cell; when the implementation object of the traffic policy is a UE-level policy implementation object, the implementation object identifier may be a UE ID, where a certain UE ID may indicate a certain specific UE; when the traffic policy enforcement object is a Group of specific UEs, the object identification may be a Group (Group) ID.

Here, the Cell ID and the UE ID may be string type, that is, the Cell ID and the UE ID may be character type data.

The third information includes at least one of:

that is, the two parameters of the traffic optimization target and the corresponding available resource information may be separately included in the traffic policy or may be simultaneously included in the traffic policy.

The filter corresponding to the implementation object of the traffic policy may also be referred to as an object identification filter, and the access network device determines the acting object, i.e. the implementation object, of the traffic policy through the filter.

The filter may be represented by a conditional statement consisting of a filter object (also referred to as a filter parameter) and a filter parameter (also referred to as a filter condition corresponding to the filter parameter), and the action object of the flow policy is determined by judging the parameter of the conditional statement. In practical application, the conditional statement may specifically include three types of filter object > filter parameters, filter object=filter parameters, and filter object < filter parameters.

Based on this, in an embodiment, the filter includes fourth information and fifth information; the fourth information characterizes filtering parameters; and the fifth information represents the filtering condition corresponding to the filtering parameter.

In practical applications, the filter object may include one or more of the following:

cell-level filter object;

UE level filter object.

Here, the cell-level filter object may contain at least one of:

cell Physical Resource Block (PRB) utilization;

cell connected state user number.

The UE-level filter object may contain at least one of:

UE service type;

UE spatial location;

UE movement speed;

UE traffic pattern;

the UE is located in a wireless fingerprint grid.

The service type of the UE can comprise delay sensitive service, bit error rate sensitive service, bandwidth sensitive service and the like;

the UE spatial location may include a UE cell level waypoint location, a beam level waypoint location, and the like.

The UE movement speed may include low speed, medium speed, high speed, etc.

The UE traffic pattern may include uplink-downlink traffic ratio, average uplink-downlink packet size, and average uplink-downlink packet arrival time interval.

The position of the UE cell level waypoint refers to the position of the UE identified by the cell ID; the beam-level waypoint location refers to the location of the UE identified with the beam ID; that is, the UE spatial location may be which cell the UE is in at a certain moment, or which beam the UE is in.

Correspondingly, the filter parameters may include one or more of the following:

Cell-level filter parameters;

UE-level filter parameters.

The values of the cell-level filter parameters are specifically as follows:

a filter parameter cell PRB utilization threshold corresponding to the cell PRB utilization;

the filter parameter corresponding to the cell connection state user number is a cell connection state user number threshold;

the value of the UE-level filter parameter is specifically:

the value of the service type of the UE can be delay sensitive service, bit error rate sensitive service, bandwidth sensitive service or the like;

the moving speed of the UE is low, medium or high;

the value of the UE space position can be the UE cell level road point position, or the beam level road point position and the like;

the value of the UE traffic pattern may be an uplink-downlink traffic ratio, an average uplink-downlink packet size, and/or an average uplink-downlink packet arrival time interval;

the value of the wireless fingerprint grid of the UE is a fingerprint grid index and the like.

In practice, the flow optimization objectives may include one or more of the following:

a cell-level wireless traffic optimization objective;

user (i.e., UE) level wireless traffic optimization objectives.

Based on this, in an embodiment, the optimization objective of the traffic policy comprises at least one of:

a cell-level traffic optimization objective;

user-level traffic optimization objectives.

Wherein the cell-level traffic optimization objective may comprise at least one of:

cell load;

ratio of number of users between cells;

inter-cell user distribution variance;

cell throughput;

cell energy efficiency;

spectral efficiency of a cell;

and weighting optimization targets of at least two targets in the flow optimization targets.

Here, the weighting optimization targets of at least two targets among the above-mentioned traffic optimization targets may be, for example, weighting values of cell energy efficiency and cell spectrum efficiency, and may be, for example, weighting values of cell load, inter-cell user number ratio, inter-cell user distribution variance, and the like.

In practical application, the weighting coefficient can be determined according to the requirement when the weighting optimization is performed.

The user-level traffic optimization objective may comprise at least one of:

user perceived rate;

user service delay;

a user maximum transmission rate;

quality of service (QoS) optimization objectives such as user average transmission rate.

When the content of the second information is different in actual application, the available resource information for the policy is also different, and the following is described in the following cases:

in the first case, the second information only includes a Cell identifier, such as a Cell ID, that is, in a policy including only a Cell identifier, the policy available resource information may indicate whether the Cell can accommodate the user, a neighbor priority list of the Cell, and a handover priority list of a user type.

Based on this, in an embodiment, the second information includes an enforcement object identification of the traffic policy; the implementation object identifier of the flow strategy is a cell identifier;

a neighbor priority list of the cell corresponding to the cell identifier;

In practical application, the user type may refer to a service type of a user, such as a video service, a game service, a File Transfer Protocol (FTP) service, an instant messaging service, and the like; here, different services have different delay and bandwidth requirements, so the switching priority level will be different in the scene corresponding to different service types.

In the second case, the second information only includes a terminal identifier (such as a UE ID) or a Group identifier (such as a Group ID), that is, in a policy including only a terminal identifier or a Group identifier, the policy available resource information may indicate a handover priority of the corresponding UE, a candidate carrier of the corresponding UE, or a prioritized list of cells.

Based on this, in an embodiment, the second information includes an enforcement object identification of the traffic policy; the implementation object identification of the flow strategy is a terminal identification or a group identification;

In order to quickly find the target candidate carrier or the target candidate cell, in the corresponding prioritized list (the candidate carrier prioritized list and the candidate cell prioritized list), the descending order may be adopted in practical application. Of course, an ascending arrangement may also be employed.

In practical application, in the corresponding priority list, probability suggestions of the selected corresponding cell can also be given for the access network equipment to perform flow optimization.

In a third case, the second information only includes a cell-level filter, that is, in a policy including the cell-level filter, the policy available resource information may indicate whether at least one cell satisfying the condition can accommodate the user, initiate the handover procedure, and the like.

Based on this, in an embodiment, the second information includes a filter corresponding to an implementation object of the traffic policy; the implementation object of the flow strategy is a cell;

In a fourth case, the second information includes only a UE-level filter, that is, in a policy including the UE-level filter, the policy available resource information may indicate a handover frequency point priority, a user type handover priority ordered list of at least one UE satisfying the condition (the user type may be divided according to at least one of a user space location, a traffic type, a moving speed, and the like).

Based on this, in an embodiment, the second information includes a filter corresponding to an implementation object of the traffic policy; the implementation object of the flow strategy is a terminal;

a handover prioritized list of user types.

In a fifth case, the second information includes a cell identifier and a UE-level filter, that is, in a policy that the cell identifier and the UE-level filter are used in combination, the policy available resource information may indicate a neighbor priority list of the cell, and different types of UE handover levels under the cell.

Based on this, in an embodiment, the second information includes an implementation object identifier of the flow policy and a filter corresponding to an implementation object of the flow policy; the implementation object identifier of the flow strategy is a cell identifier; the implementation object corresponding to the filter is a terminal;

a neighbor priority list of a cell corresponding to the cell identifier;

In a sixth case, the second information includes a terminal identifier (or group identifier) and a cell-level filter, that is, in a policy used by the terminal identifier (or group identifier) and the cell-level filter in combination, the policy available resource information may indicate handover priority of the corresponding UE under the cell satisfying the condition, and/or a candidate carrier (or candidate cell) prioritized list.

Based on this, in an embodiment, the second information includes an implementation object identifier of the flow policy and a filter corresponding to an implementation object of the flow policy; the implementation object identification of the flow strategy is a terminal identification or a group identification; the implementation object of the filter is a cell;

In addition, the policy-available resource information may also indicate a policy validation time range and a policy validation geographic range for better traffic optimization.

Correspondingly, the embodiment of the invention also provides a strategy configuration method which is applied to the access network equipment, as shown in fig. 3, and comprises the following steps:

step 301: receiving first information issued by a network management entity;

Wherein the first information characterizes a traffic policy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

Specifically, the access network device may receive, through an A1 interface, first information issued by the network management entity.

Step 302: and carrying out flow optimization by using the first information.

Specifically, the access network device determines an implementation object (such as a cell and/or a terminal) of the policy by using the first information, determines a traffic optimization target and/or available resources of the policy, and performs traffic optimization by combining an RRM algorithm of the access network device.

An embodiment of the present invention provides a policy configuration method, as shown in fig. 4, where the method includes:

step 401: the network management entity transmits first information to the access network equipment;

here, the first information characterizes a traffic policy; the first information at least comprises second information and third information;

The second information includes at least one of:

the third information includes at least one of:

Step 402: and after receiving the first information sent by the network management entity, the access network equipment performs flow optimization by using the first information.

Here, it should be noted that: the specific processing procedures of the network management entity and the access network device are described in detail above, and are not described in detail here.

According to the policy configuration method provided by the embodiment of the invention, a network management entity transmits first information to access network equipment; the first information characterizes a flow strategy; the first information at least comprises second information and third information; the second information includes at least one of the following; an implementation object identification of the flow strategy; a filter corresponding to an implementation object of the flow strategy; the third information includes at least one of: a flow optimization target of the flow strategy; the available resource information corresponding to the flow strategy; wherein the filter is used for the access network equipment to determine an implementation object of the flow strategy; and after receiving the first information issued by the network management entity, the access network equipment performs flow optimization by using the first information, wherein the policy comprises: at least one of the implementation object and the filter corresponding to the implementation object, at least one of the traffic optimization target and the available resource corresponding to the strategy, specifies the form of the strategy, so that the network management entity can make more flexible and dynamic traffic strategies according to different scene demands, thereby optimizing traffic by the access network equipment more finely and efficiently, further improving the network service level better and improving the user service experience.

The present invention will be described in further detail with reference to examples of application.

Application example one

In this application embodiment, for the second information, the network management entity sends only the policy enforcement object identification in the policy, and does not send the filter, as follows:

wherein the policy_id identifies an A1 wireless traffic optimization policy sent by the network management entity to the RAN;

the implementation object of the strategy confirmed by the network management entity is a cell object;

the traffic_scheduling_objective indicates that the target of wireless traffic optimization of the cell object is met, and the target comprises that the occupancy rate of the cell PRB falls below a preset value, the cell throughput is larger than the preset value, the UE distribution variance among cells is not larger than the preset value, and the like, and the parameter values can be obtained by a network management entity according to the statistics of global traffic distribution conditions;

the traffic_scheduling_resource contains information of available resources/referenceable resources of the cell object in the flow optimization process, and specifically includes a user type switching priority and a carrier priority.

After receiving the wireless flow optimization strategy, the RAN orders the UE in the cell according to the user type switching priority in the traffic_scheduling_resource aiming at the determined cell object, and then determines the carrier to be switched of each UE according to the carrier priority, and the UE is sequentially switched until the wireless flow optimization target is met.

Application example II

In this application embodiment, for the second information, the network management entity sends the filter in the policy as follows:

the cell_id identifies that an implementation object of the policy determined by the network management entity is a cell object;

object_filter indicates a UE object under the above cell object policy enforcement;

traffic_scheduling_objective indicates that the UE object's wireless traffic optimization objective satisfies a specified value for both its user rate and service delay, which can be determined according to a Service Level Agreement (SLA);

the traffic_scheduling_resource contains a neighbor priority list of the cell object and a handover priority list determined by ultra-reliable low latency communication (URLLC) UE satisfying filter conditions according to the UE location.

After receiving the above-mentioned wireless flow optimization strategy, RAN converts the strategy into specific switching command and sends it to corresponding RAN Node (Node), and the corresponding RAN Node can complete the switching of UE.

From the above description, it can be seen that the embodiments of the present invention illustrate specific contents and forms of the wireless traffic optimization strategy; specifically, the wireless traffic optimization Policy includes, in addition to the Policy ID, a Policy enforcement object identifier and/or a filter corresponding to the enforcement object, a Policy optimization target, and/or a Policy available resource.

The network management entity serves as a centralized point and has more comprehensive cell-level and UE-level information, based on the centralized point, the network management entity can customize algorithm logic aiming at specific objects in specific scenes, can adjust strategies to achieve different targets and adapt to different scene demands, and a more flexible and dynamic wireless flow optimization strategy scheme is made. The network management entity policy is issued, so that the RAN optimizes the wireless traffic more finely and efficiently, and the wireless network service level and the user service experience can be better improved.

In order to implement the method at the network management entity side in the embodiment of the present invention, the embodiment of the present invention further provides a policy configuration device, which is disposed on the network management entity, as shown in fig. 5, and the device includes:

a transmitting unit 52, configured to transmit the first information to the access network device; the first information characterizes a flow strategy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

In one embodiment, as shown in fig. 5, the apparatus may further include:

a determining unit 51 for determining the first information.

In actual use, the determining unit 51 may be implemented by a processor in the policy configuration device; the issuing unit 52 may be implemented by a communication interface in the policy configuration device.

In order to implement the method at the access network device side in the embodiment of the present invention, the embodiment of the present invention further provides a policy configuration device, which is disposed on the access network device, as shown in fig. 6, and the device includes:

a receiving unit 61, configured to receive first information issued by a network management entity;

an optimizing unit 62, configured to perform flow optimization using the first information; wherein the first information characterizes a traffic policy; the first information at least comprises second information and third information;

the second information includes at least one of:

The third information includes at least one of:

In practical application, the receiving unit 61 may be implemented by a communication interface in the policy configuration device; the optimization unit 62 may be implemented by a processor in the policy configuration device in combination with a communication interface.

It should be noted that: in the policy configuration device provided in the above embodiment, only the division of each program module is used for illustration, and in practical application, the process allocation may be performed by different program modules according to needs, that is, the internal structure of the device is divided into different program modules, so as to complete all or part of the processes described above. In addition, the policy configuration device and the policy configuration method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the policy configuration device and the policy configuration method are detailed in the method embodiments and are not described herein again.

Based on the hardware implementation of the program modules, and in order to implement the method on the network management entity side in the embodiment of the present invention, the embodiment of the present invention further provides a network management entity, as shown in fig. 7, where the network management entity 70 includes:

A first communication interface 71 capable of information interaction with an access network device;

the first processor 72 is connected to the first communication interface 71 to implement information interaction with the access network device, and is configured to execute the method provided by one or more technical solutions on the network management entity side when running the computer program. And the computer program is stored on the first memory 73.

Specifically, the first communication interface 71 is configured to issue first information to an access network device; the first information characterizes a flow strategy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

It should be noted that: the specific processing procedures of the first processor 72 and the first communication interface 71 are detailed in the method embodiment, and will not be described herein.

Of course, in actual practice, the various components in network management entity 70 are coupled together by bus system 74. It is understood that the bus system 74 is used to enable connected communications between these components. The bus system 74 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration the various buses are labeled as bus system 74 in fig. 7.

The first memory 73 in the embodiment of the present invention is used to store various types of data to support the operation of the network management entity 70. Examples of such data include: any computer program for operation on the network management entity 70.

The method disclosed in the above embodiment of the present invention may be applied to the first processor 72 or implemented by the first processor 72. The first processor 72 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the method described above may be performed by instructions in the form of integrated logic circuits or software in hardware in the first processor 72. The first processor 72 described above may be a general purpose processor, a digital signal processor (DSP, digital Signal Processor), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The first processor 72 may implement or perform the methods, steps and logic blocks disclosed in embodiments of the present invention. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiment of the invention can be directly embodied in the hardware of the decoding processor or can be implemented by combining hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the first memory 73, and the first processor 72 reads information in the first memory 73, in combination with its hardware, to perform the steps of the method as described above.

In an exemplary embodiment, the network management entity 70 may be implemented by one or more application specific integrated circuits (ASIC, application Specific Integrated Circuit), DSPs, programmable logic devices (PLD, programmable Logic Device), complex programmable logic devices (CPLD, complex Programmable Logic Device), field-programmable gate arrays (FPGA, field-Programmable Gate Array), general purpose processors, controllers, microcontrollers (MCU, micro Controller Unit), microprocessors (Microprocessor), or other electronic components for performing the aforementioned methods.

Based on the hardware implementation of the program modules, and in order to implement the method on the access network device side in the embodiment of the present invention, the embodiment of the present invention further provides an access network device, as shown in fig. 8, where the access network device 80 includes:

a second communication interface 81 capable of information interaction with a network management entity;

and the second processor 82 is connected with the second communication interface 81 to realize information interaction with a network management entity, and is used for executing the method provided by one or more technical schemes on the access network equipment side when running a computer program. And the computer program is stored on the second memory 83.

Specifically, the second communication interface 81 is configured to receive first information issued by a network management entity;

the second processor 82 is configured to perform flow optimization using the first information; wherein the first information characterizes a traffic policy; the first information at least comprises second information and third information;

the second information includes at least one of:

the third information includes at least one of:

It should be noted that: the specific processing procedures of the second processor 82 and the second communication interface 81 are described in the method embodiment, and are not described herein.

Of course, in actual practice, the various components in access network device 80 are coupled together by bus system 84. It is understood that the bus system 84 is used to enable connected communications between these components. The bus system 84 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration the various buses are labeled as bus system 84 in fig. 8.

The second memory 83 in the embodiment of the present invention is used to store various types of data to support the operation of the access network device 80. Examples of such data include: any computer program for operation on access network device 80.

The method disclosed in the above embodiment of the present invention may be applied to the second processor 82 or implemented by the second processor 82. The second processor 82 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the method described above may be performed by instructions in the form of integrated logic circuits or software in hardware in the second processor 82. The second processor 82 may be a general purpose processor, DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The second processor 82 may implement or perform the methods, steps, and logic blocks disclosed in embodiments of the present invention. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiment of the invention can be directly embodied in the hardware of the decoding processor or can be implemented by combining hardware and software modules in the decoding processor. The software module may be located in a storage medium located in the second memory 83, said second processor 82 reading information in the second memory 83, in combination with its hardware performing the steps of the method as described above.

Access network device 80 may be implemented in exemplary embodiments by one or more ASIC, DSP, PLD, CPLD, FPGA, general purpose processors, controllers, MCU, microprocessor, or other electronic elements for performing the foregoing methods.

It is to be understood that the memories (the first memory 73, the second memory 83) of the embodiment of the present invention may be volatile memories or nonvolatile memories, and may include both volatile and nonvolatile memories. Wherein the nonvolatile Memory may be Read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable programmable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable programmable Read Only Memory (EEPROM, electrically Erasable Programmable Read-Only Memory), magnetic random access Memory (FRAM, ferromagnetic random access Memory), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk Read Only Memory (CD-ROM, compact Disc Read-Only Memory); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be random access memory (RAM, random Access Memory), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM, static Random Access Memory), synchronous static random access memory (SSRAM, synchronous Static Random Access Memory), dynamic random access memory (DRAM, dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (ddr SDRAM, double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random access memory (ESDRAM, enhanced Synchronous Dynamic Random Access Memory), synchronous link dynamic random access memory (SLDRAM, syncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, direct Rambus Random Access Memory). The memory described by embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.

In order to implement the method of the embodiment of the present invention, the embodiment of the present invention further provides a policy configuration system, as shown in fig. 9, where the system includes: a network management entity 91 and an access network device 92;

the network management entity 91 is configured to issue first information to the access network device 92;

the access network device 92 is configured to receive first information issued by the network management entity 91; and performing flow optimization by using the first information.

the second information includes at least one of:

the third information includes at least one of:

Here, it should be noted that: the specific processing procedures of the network management entity 91 and the access network device 92 are described in detail above, and will not be described here again.

In an exemplary embodiment, the present invention further provides a storage medium, i.e. a computer storage medium, in particular a computer readable storage medium, for example comprising a first memory 73 storing a computer program executable by the first processor 72 of the network management entity 70 for performing the steps of the network management entity side method described above. Further for example comprising a second memory 83 storing a computer program executable by the second processor 82 of the access network device 80 for performing the steps of the method at the access network device side as described above. The computer readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash Memory, magnetic surface Memory, optical disk, or CD-ROM.

It should be noted that: "first," "second," etc. are used to distinguish similar objects and not necessarily to describe a particular order or sequence.

In addition, the embodiments of the present invention may be arbitrarily combined without any collision.

The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention.

Claims

1. A policy configuration method, applied to a network management entity, comprising:

the second information includes at least one of:

an implementation object identification of the flow strategy; a filter corresponding to an implementation object of the flow strategy; wherein the filter is used for the access network equipment to determine an implementation object of the flow strategy;

the third information comprises a flow optimization target of the flow strategy and available resource information corresponding to the flow strategy; wherein,

the flow optimization objective of the flow strategy comprises at least one of the following: a cell-level traffic optimization objective; a user-level traffic optimization objective;

In the case that the implementation object identifier of the traffic policy is a terminal identifier or a group identifier, the available resource information corresponding to the traffic policy indicates at least one of the following: the switching priority of the terminal corresponding to the implementation object identifier; and the implementation object identifies a candidate carrier priority ranking list or a candidate cell priority ranking list of the corresponding terminal.

2. The method of claim 1, wherein the filter includes fourth information and fifth information; the fourth information characterizes filtering parameters; and the fifth information represents the filtering condition corresponding to the filtering parameter.

3. The method according to claim 1, wherein, in the case that the second information includes an implementation object identifier of the traffic policy, and the implementation object identifier of the traffic policy is a cell identifier, the available resource information corresponding to the traffic policy indicates at least one of the following:

a neighbor priority list of the cell corresponding to the cell identifier;

4. The method according to claim 1, wherein, in the case that the second information includes a filter corresponding to an implementation object of the traffic policy, the available resource information corresponding to the traffic policy indicates at least:

5. The method according to claim 1, wherein, in the case that the second information includes a filter corresponding to an implementation object of the traffic policy, the available resource information corresponding to the traffic policy indicates at least:

a handover prioritized list of user types.

6. The method according to claim 1, wherein, when the second information includes an implementation object identifier of the traffic policy and a filter corresponding to the implementation object of the traffic policy, the implementation object identifier of the traffic policy is a cell identifier, and the implementation object corresponding to the filter is a terminal, the available resource information corresponding to the traffic policy indicates at least:

a neighbor priority list of a cell corresponding to the cell identifier;

7. The method according to claim 1, wherein, when the second information includes an identifier of an implementation object of the traffic policy and a filter corresponding to the implementation object of the traffic policy, the implementation object identifier of the traffic policy is a terminal identifier or a group identifier, and the implementation object of the filter is a cell, the available resource information corresponding to the traffic policy indicates at least:

Implementing the switching priority of the terminal corresponding to the object identifier under the cell meeting the condition corresponding to the filter; and/or implementing the prioritized list of the candidate carriers or the prioritized list of the candidate cells under the cells meeting the conditions corresponding to the filter by the object identification corresponding to the terminal.

8. A policy configuration method, applied to an access network device, comprising:

receiving first information issued by a network management entity;

the second information includes at least one of:

9. The method of claim 8, wherein the filter includes fourth information and fifth information; the fourth information characterizes filtering parameters; and the fifth information represents the filtering condition corresponding to the filtering parameter.

10. The method according to claim 8, wherein in the case that the second information includes an implementation object identifier of the traffic policy, and the implementation object identifier of the traffic policy is a cell identifier, the available resource information corresponding to the traffic policy indicates at least one of:

a neighbor priority list of the cell corresponding to the cell identifier;

11. The method according to claim 8, wherein, in the case that the second information includes a filter corresponding to an implementation object of the traffic policy, the available resource information corresponding to the traffic policy indicates at least:

12. The method according to claim 8, wherein, in the case that the second information includes a filter corresponding to an implementation object of the traffic policy, the available resource information corresponding to the traffic policy indicates at least:

a handover prioritized list of user types.

13. The method of claim 8, wherein, when the second information includes an identifier of an implementation object of the traffic policy and a filter corresponding to the implementation object of the traffic policy, the implementation object identifier of the traffic policy is a cell identifier, and the implementation object corresponding to the filter is a terminal, the available resource information corresponding to the traffic policy indicates at least:

a neighbor priority list of a cell corresponding to the cell identifier;

14. The method according to claim 8, wherein, when the second information includes an identifier of an implementation object of the traffic policy and a filter corresponding to the implementation object of the traffic policy, the implementation object identifier of the traffic policy is a terminal identifier or a group identifier, and the implementation object of the filter is a cell, the available resource information corresponding to the traffic policy indicates at least:

15. A policy configuration apparatus, comprising:

the second information includes at least one of:

16. A policy configuration apparatus, comprising:

the second information includes at least one of:

17. A network management entity, comprising: a first processor and a first communication interface; wherein,

the second information includes at least one of:

18. An access network device, comprising:

the second information includes at least one of:

19. A network management entity, comprising: a first processor and a first memory for storing a computer program capable of running on the processor,

wherein the first processor is adapted to perform the steps of the method of any of claims 1 to 7 when the computer program is run.

20. An access network device, comprising: a second processor and a second memory for storing a computer program capable of running on the processor,

wherein the second processor is adapted to perform the steps of the method of any of claims 8 to 14 when the computer program is run.

21. A storage medium having stored thereon a computer program, which when executed by a processor, performs the steps of the method of any of claims 1 to 7 or performs the steps of the method of any of claims 8 to 14.