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WO2025199811A1 - Method of pdtq policy selection and related devices - Google Patents

Method of pdtq policy selection and related devices

Info

Publication number
WO2025199811A1
WO2025199811A1 PCT/CN2024/084145 CN2024084145W WO2025199811A1 WO 2025199811 A1 WO2025199811 A1 WO 2025199811A1 CN 2024084145 W CN2024084145 W CN 2024084145W WO 2025199811 A1 WO2025199811 A1 WO 2025199811A1
Authority
WO
WIPO (PCT)
Prior art keywords
pdtq
policies
network entity
policy
pcf
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2024/084145
Other languages
French (fr)
Inventor
Alla Goldner
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to PCT/CN2024/084145 priority Critical patent/WO2025199811A1/en
Publication of WO2025199811A1 publication Critical patent/WO2025199811A1/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0894Policy-based network configuration management

Definitions

  • the present application relates to wireless communication, and more particularly, to a method of PDTQ policy selection and related devices.
  • PCF Policy Control Function
  • AF Application Function
  • NEF Network Exposure Function
  • NWDAF Network Data Analytics Function
  • BDT Background Data Transfer
  • the network entity includes Policy Control Function (PCF) .
  • PCF Policy Control Function
  • PDTQ Planned Data transfer with Quality of Service (QoS) requirements
  • QoS Quality of Service
  • ASP application service provider
  • NWDAF network data analytics function
  • the AF Prior to the start of the selected time window for the planned data transfer, the AF requests the PCF to set up the AF session with required QoS. The PCF will then determine the appropriate Policy and Charging Control (PCC) rules according to the AF request. All the requirements and the flows may be referred at least to 3GPP TS 23.503 clause 6.1.2.7.
  • PCC Policy and Charging Control
  • the proposed solution enhances the existing PDTQ policy selection and re-negotiation process by introducing energy related information as service criteria. Specifically, it enhances the existing subscription and policy control framework to support energy consumption and energy efficiency service criteria.
  • the key aspects are enhancing set of information provided from the PCF to the AF (via NEF) with energy related parameters and analytics along with PDTQ policies, or, alternatively, taking energy related parameters and analytics when deciding on PDTQ policies so AF can take those into account while deciding on PDTQ policy selection.
  • This can assist to AIML corresponding operation e.g. cost, operability and performance wise.
  • the energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies.
  • the network entity is informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics. That is, the AF may select one of the PDTQ policies based on the energy related parameters and analytics provided by the network entity and informs the network entity of the selected PDTQ policy.
  • the PDTQ policy selection is made in consideration of the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
  • FIG. 4 is a flowchart of a method of PDTQ policy selection performed by PCF according to another embodiment of the present application.
  • the method 400 is performed by a network entity (e.g., Policy Control Function (PCF) ) and includes the followings.
  • the network entity determines a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies based on energy related parameters and analytics. That is, the network entity can provide a set of PDTQ policies that are decided by taking energy related information (i.e., the energy related parameters and analytics) into account.
  • QoS Quality of Service
  • the energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies.
  • the network entity provides the set of PDTQ policies to Application Function (AF) for the AF to select one from the set of PDTQ policies. That is, the AF may select one from the set of PDTQ policies determined in Step S410 and informs the network entity of the selected PDTQ policy.
  • the selected PDTQ policy selection has already considered the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
  • the method further includes updating to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; and triggering re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies. This would help on dynamic PDTQ policy selection based on new network conditions.
  • the method further includes informing the AF that energy criterion is not met; and being informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies. This would help on PDTQ policy reselection based on energy criterion.
  • FIG. 5 is a flowchart of a method of PDTQ policy selection performed by AF according to an embodiment of the present application.
  • the method 500 is performed by a network entity (e.g., Application Function (AF) ) and includes the followings.
  • the network entity receives from Policy Control Function (PCF) energy related parameters and analytics and one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies. That is, when receiving the one or more PDTQ policies, the network entity also receives energy related information (i.e., the energy related parameters and analytics) from the PCF so as to make PDTQ policy selection based on the energy related information.
  • PCF Policy Control Function
  • QoS Quality of Service
  • PDTQ Planned Data transfer with Quality of Service
  • energy related information i.e., the energy related parameters and analytics
  • the energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies.
  • the network entity selects one of the one or more PDTQ policies based on the received energy related parameters and analytics.
  • the network entity informs the PCF about the selected PDTQ policy. That is, the network entity may select one of the PDTQ policies based on the energy related parameters and analytics provided by the PCT and inform the PCT of the selected PDTQ policy.
  • the PDTQ policy selection is made in consideration of the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
  • FIG. 6 is a flowchart of a method of PDTQ policy selection performed by AF according to another embodiment of the present application.
  • the method 600 is performed by a network entity (e.g., Application Function (AF) ) and includes the followings.
  • the network entity receives from Policy Control Function (PCF) a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies which is determined based on energy related parameters and analytics. That is, the PCF can provide a set of PDTQ policies that are decided by taking energy related information (i.e., the energy related parameters and analytics) into account, and the network entity receives the set of PDTQ policies from the PCF.
  • PCF Policy Control Function
  • QoS Quality of Service
  • PDTQ Quality of Service
  • the energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies.
  • the network entity selects one from the set of PDTQ policies.
  • the network entity informs the PCF about the selected PDTQ policy. That is, the network entity may select one from the set of PDTQ policies determined in Step S610 and informs the PCF of the selected PDTQ policy.
  • the selected PDTQ policy selection has already considered the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
  • the method further includes receiving from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and making PDTQ policy selection based on the new candidate PDTQ policies. This would help on dynamic PDTQ policy selection based on new network conditions.
  • the method further includes being informed by the PCF that energy criterion is not met; and reselecting a PDTQ policy based on previously provided PDTQ policies. This would help on PDTQ policy reselection based on energy criterion.
  • the AF can also consider the target energy cost value, an energy identifier (i.e., to indicate the selection of a policy that minimizes the energy cost value) , a target energy efficiency value, the charging rate, and the other attributes of the PDTQ policies when deciding which PDTQ policy to select among those provided by the PCF (e.g., via NEF) .
  • the AF can decide what trade-offs to make between energy cost value, monetary cost, the time window of the transfer, etc.
  • the PCF can also update a list of new candidate PDTQ policies considering by itself the energy criteria on the new network conditions, from which the AF can choose. It can also provide the reasons for triggering such re-negotiation to allow the AF to make a choice regarding the selection of the new PDTQ policy. Alternatively, the PCF can notify the AF indicating only that the energy criteria cannot be met, then the AF can select a different PDTQ policy.
  • PCF providing the energy related parameters and analytics to AF along with PDTQ policies, so AF can decide.
  • the disclosed system, apparatus, and method may be implemented in manners.
  • the apparatus embodiment described above is only schematic.
  • division of the units is only logic function division, and other division manners may be used during practical implementation.
  • multiple units or components may be combined or integrated into another system, or some characteristics may be neglected or not performed.
  • coupling or direct coupling or communication connection between each displayed or discussed component may be indirect coupling or communication connection, implemented through some interfaces, of the apparatus or the units, and may be electrical and mechanical or adopt other forms.
  • the units described as separate parts may or may not be physically separated. Parts displayed as units may or may not be physical units, namely they may be located in the same place, or may be distributed to multiple network units. Part or all of the units may be selected to achieve the objectives of the solutions of the embodiments as practically needed.
  • the function When being realized in form of a software function unit and sold or used as an independent product, the function may also be stored in a computer-readable storage medium.
  • the computer software product is stored in a storage medium, including a plurality of instructions for enabling a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method in each embodiment of the disclosure.
  • the above-mentioned storage medium includes various media capable of storing program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

A method of PDTQ policy selection and related devices are provided. The method may be performed by a network entity (e.g., Policy Control Function (PCF) ) and include providing energy related parameters and analytics to Application Function (AF) along with one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies; and being informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.

Description

METHOD OF PDTQ POLICY SELECTION AND RELATED DEVICES TECHNICAL FIELD
The present application relates to wireless communication, and more particularly, to a method of PDTQ policy selection and related devices.
BACKGROUND ART
With the arrival of 5th-generation (5G) communication systems, a huge increase in the number of connected devices is expected. These connected devices, like cars, robots, drones, home gadgets, screens, and smart sensors, will mostly connect to networks. Even things like factory equipments will likely join in. To handle the huge number of devices in the future 6th-generation (6G) era, considerable efforts are being dedicated to enhancing 6G communication systems.
There are Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) Policies introduced by 3GPP Rel-18 which might be used in order to support AI/ML (i.e., artificial intelligence/machine learning) operation, for example, Policy Control Function (PCF) may provide a time window to Application Function (AF) (via Network Exposure Function (NEF) ) for PDTQ.
In Rel-19 it started to study FS_EnergySys and one of the key issues of this study is to enhance policies by knowing energy efficiency related parameters and/or different types of related analytics. According to the FS_EnergySys (SP-231391) , it needs to be studied whether and what new energy related policies are to be defined, and how to perform energy related policy control, e.g. to determine, provision and enforce energy related policies.
The solution for Network Data Analytics Function (NWDAF) -based Energy Analytics is already implemented in the TR 23.700-66. Additionally, the solution for Background Data Transfer (BDT) policies was already agreed in the S2-2403191 and soon will be implemented in the same Technical Report. However, how to enhance the negotiation for the PDTQ and the considering the energy related parameters and analytics is still needed to be studied.
SUMMARY
In a first aspect, some embodiments of the present application provide a method of PDTQ policy selection, performed by a network entity, including: providing energy related parameters and analytics to Application Function (AF) along with one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies; and being informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics.
In a second aspect, some embodiments of the present application provide a method of PDTQ policy selection, performed by a network entity, including: determining a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies based on energy related parameters and analytics; and providing the set of PDTQ policies to Application Function (AF) for the AF to select one from the set of PDTQ policies.
In a third aspect, some embodiments of the present application provide a network entity, including: at least one memory configured to store program instructions; and at least one processor configured to execute the program instructions, which cause the at least one processor to: provide energy related parameters and analytics to Application Function (AF) along with one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies; and be informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics.
In a fourth aspect, some embodiments of the present application provide a network entity, including: at least one memory configured to store program instructions; and at least one processor configured to execute the program instructions, which cause the at least one processor to: determine a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies based on energy related parameters and analytics; and provide the set of PDTQ policies to Application Function (AF) for the AF to select one from the set of PDTQ policies.
In some embodiments of the present application, the method further includes updating to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; triggering re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies.
In some embodiments of the present application, the method further includes informing the AF that energy criterion is not met; and being informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies.
In some embodiments of the present application, the network entity includes Policy Control Function (PCF) .
In some embodiments of the present application, the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
In a fifth aspect, some embodiments of the present application provide a method of PDTQ policy selection, performed by a network entity, including: receiving from Policy Control Function (PCF) energy related parameters and analytics and one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies; selecting one of the one or more PDTQ policies based on the received energy related parameters and analytics; and informing the PCF about the selected PDTQ policy.
In a sixth aspect, some embodiments of the present application provide a method of PDTQ policy selection, performed by a network entity, including: receiving from Policy Control Function (PCF) a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies which is determined based on energy related parameters and analytics; selecting one from the set of PDTQ policies; and informing the PCF about the selected PDTQ policy.
In a seventh aspect, some embodiments of the present application provide a network entity, including: at least one memory configured to store program instructions; and at least one processor configured to execute the program instructions, which cause the at least one processor to: receive from Policy Control Function (PCF) energy related parameters and analytics and one or more Planned Data transfer with Quality  of Service (QoS) requirements (PDTQ) policies; select one of the one or more PDTQ policies based on the received energy related parameters and analytics; and inform the PCF about the selected PDTQ policy.
In an eighth aspect, some embodiments of the present application provide a network entity, including: at least one memory configured to store program instructions; and at least one processor configured to execute the program instructions, which cause the at least one processor to: receive from Policy Control Function (PCF) a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies which is determined based on energy related parameters and analytics; select one from the set of PDTQ policies; and inform the PCF about the selected PDTQ policy.
In some embodiments of the present application, the method further includes receiving from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and making PDTQ policy selection based on the new candidate PDTQ policies.
In some embodiments of the present application, the method further includes being informed by the PCF that energy criterion is not met; and reselecting a PDTQ policy based on previously provided PDTQ policies.
In some embodiments of the present application, the network entity includes Policy Control Function (PCF) .
In some embodiments of the present application, the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
DESCRIPTION OF DRAWINGS
In order to more clearly illustrate the embodiments of the present application or related art, the following figures that will be described in the embodiments are briefly introduced. It is obvious that the drawings are merely some embodiments of the present application, a person having ordinary skill in this field can obtain other figures according to these figures without paying the premise.
FIG. 1 is a schematic diagram of an architecture of a communication system according to an embodiment of the disclosure.
FIG. 2 is a schematic diagram of a 5th-Generation (5G) architecture according to an embodiment of the disclosure.
FIG. 3 is a flowchart of a method of PDTQ policy selection performed by PCF according to an embodiment of the present application.
FIG. 4 is a flowchart of a method of PDTQ policy selection performed by PCF according to another embodiment of the present application.
FIG. 5 is a flowchart of a method of PDTQ policy selection performed by AF according to an embodiment of the present application.
FIG. 6 is a flowchart of a method of PDTQ policy selection performed by AF according to another embodiment of the present application.
DETAILED DESCRIPTION OF EMBODIMENTS
Embodiments of the disclosure are described in detail with the technical matters, structural features, achieved objects, and effects with reference to the accompanying drawings as follows. Specifically, the terminologies in the embodiments of the present application are merely for describing the purpose of the certain embodiment, but not to limit the disclosure.
In this document, a combination such as “at least one of A, B, or C, ” “one or more of A, B, or C, ” “at least one of A, B, and C, ” “one or more of A, B, and C, ” or “A, B, and/or C” may be A only, B only, C only, A and B, A and C, B and C, or A and B and C, where any combination may contain one or more members of A, B, or C.
Exemplarily, FIG. 1 shows a communication system 100 that the embodiments of the disclosure are applied to. The communication system 100 may include a network device 110. The network device 110 may be a device that communicates with a terminal 120 (or referred to as a communication terminal and a terminal) . The network device 110 may provide communication coverage for a specific geographical region and communicate with a terminal within the coverage. Optionally, the network device 110 may be an Evolutional Node B (eNB or eNodeB) in the LTE system, or a wireless controller in a Cloud Radio Access Network (GRAN) . Alternatively, the network device may be a mobile switching center, a relay station, an access point, an onboard device, a wearable device, a hub, a switch, a network bridge, a router, a network-side device in the 5G network, a network device in a future communication system, or the like.
The communication system 100 further includes at least one terminal 120 within the coverage of the network device 110. The “terminal” used herein includes, but not limited to, a device configured to receive/send a communication signal through a wired line connection, for example, through Public Switched Telephone Network (PSTN) , Digital Subscriber Line (DSL) , digital cable and direct cable connections, and/or another data connection/network) and/or through a wireless interface, for example, for a cellular network, a Wireless Local Area Network (WLAN) , a digital television network like a Digital Video Broadcasting-Handheld (DVB-H) network, a satellite network and an Amplitude Modulated (AM) -Frequency Modulated (FM) broadcast transmitter, and/or another terminal, and/or an Internet of Things (IoT) device. The terminal configured to communicate through a wireless interface may be referred to as a “wireless communication terminal” , a “wireless terminal” , or a “mobile terminal. ” Examples of the mobile terminal include, but not limited to, a satellite or cellular telephone, a Personal Communication System (PCS) terminal capable of combining a cellular radio telephone and data processing, faxing, and data communication capabilities, a Personal Digital Assistant (PDA) capable of including a radio telephone, a pager, Internet/intranet access, a Web browser, a notepad, a calendar, and/or a Global Positioning System (GPS) receiver, and a conventional laptop and/or palmtop receiver or another electronic device including a radio telephone transceiver. The terminal may be an access terminal, UE, a user unit, a user station, a mobile station, a mobile radio station, a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent, or a user device. The access terminal may be a cell phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a PDA, a handheld device with a wireless communication function, a computing device, another  processing device connected to a wireless modern, a vehicle device, a wearable device, a terminal in the 5G network, a terminal in the future evolved PLMN, or the like.
One network device and two terminals are exemplarily shown in FIG. 1. Optionally, the communication system 100 may include multiple network devices, and there may be included another number of terminals in coverage of each network device. No limits are made thereto in the embodiments of the disclosure.
The communication system 100 may further include another network entity, such as a network controller and a mobility management entity. No limits are made thereto in the embodiments of the disclosure.
FIG. 2 shows a 5G architecture. Devices involved in the 5G architecture include: UE, a RAN, a User Plane Function (UPF) , a Data Network (DN) , an Access and Mobility Management Function (AMF) , an SMF, a PCF, an Application Function (AF) , an Authentication Server Function (AUSF) , and Unified Data Management (UDM) .
As shown in FIG. 2 , policy related network elements mainly include the PCF, the AMF, the SMF, the RAN, and the UE. The SMF is mainly responsible for executing session related policies. The AMF is mainly responsible for executing access and UE policy related policies. Policy transmission and update of the two network elements (the AMF and the SMF) are managed and controlled by the PCF.
Specific to a UE policy, information about the UE policy, including a content of the UE policy, an Identifier (ID) of the UE policy, etc., is monitored between the PCF and the UE through a container. In an uplink direction, the container is sent to the AMF by the UE through a Non Access Stratum (NAS) message, and continues to be transparently transmitted (without perception or modification) to the PCF by the AMF. Reversely, in a downlink direction, the container is sent to the AMF by the PCF, and is further transparently transmitted to the UE by the AMF through a NAS message.
One of the key Service Provider requirements for 5G/6G deployment is Energy Efficiency and lowering of Energy Cost. Up until 5G Rel-18, included, there was no consideration of energy efficiency as a parameter for making a 5GS policy decisions. There is ongoing standardization related to that, and, while considering Planned data transfer with QoS requirements policies by the PCF to be transferred to AF, it might be beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution, energy utilization wise.
Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) is widely covered in Rel-18 by the 3GPP TS 23.503 clause 6.1.2.7 and by the 3GPP TS 23.502 clause 4.16.15. As per TS 23.502, clause 4.16.15, the PDTQ policies are defined for a specific application service provider (ASP) and each PDTQ policy includes a recommended time window for the traffic transfer for each of the AF sessions involved.
The Network Performance analytics or DN Performance analytics for network data analytics function (NWDAF) as described in TS 23.288 will be subscribed by the PCF in order to assist its decision to derive the PDTQ policies.
One or more negotiated PDTQ policies could be provided by PCF to AF via NEF together with the PDTQ Reference ID. If the AF receives more than one PDTQ policies from the PCF, the AF will select one of them and inform the PCF about the selected PDTQ policy which will then be stored in the Unified Data Repository (UDR) . The selected PDTQ policy might be renegotiated, i.e. due to the degradation of the network performance. In this case, the PCF may determine a new list of candidate PDTQ policies and notify the AF via NEF. The AF may select one of the new PDTQ polices or not accept any of the PDTQ policies, it then notifies the PCF of the corresponding decision. Prior to the start of the selected time window for the planned data transfer, the AF requests the PCF to set up the AF session with required QoS. The PCF will then determine the appropriate Policy and Charging Control (PCC) rules according to the AF request. All the requirements and the flows may be referred at least to 3GPP TS 23.503 clause 6.1.2.7.
On top of that, and following the same principles as defined for Background Data Transfer (BDT) policy enhancements by the S2-2403191, this innovation proposes to enhance the negotiation for the PDTQ considering the energy related parameters and analytics in the following way:
The proposed solution enhances the existing PDTQ policy selection and re-negotiation process by introducing energy related information as service criteria. Specifically, it enhances the existing subscription and policy control framework to support energy consumption and energy efficiency service criteria.
The key aspects are enhancing set of information provided from the PCF to the AF (via NEF) with energy related parameters and analytics along with PDTQ policies, or, alternatively, taking energy related parameters and analytics when deciding on PDTQ policies so AF can take those into account while deciding on PDTQ policy selection. This can assist to AIML corresponding operation e.g. cost, operability and performance wise.
FIG. 3 is a flowchart of a method of PDTQ policy selection performed by PCF according to an embodiment of the present application. Referring to FIG. 3, the method 300 is performed by a network entity (e.g., Policy Control Function (PCF) ) and includes the followings. In Step 310, the network entity provides energy related parameters and analytics to Application Function (AF) along with one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies. That is, when providing the one or more PDTQ policies, the network entity also provides energy related information (i.e., the energy related parameters and analytics) to the AF for the AF to make PDTQ policy selection. The energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies. In Step S320, the network entity is informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics. That is, the AF may select one of the PDTQ policies based on the energy related parameters and analytics provided by the network entity and informs the network entity of the selected PDTQ policy. The PDTQ policy selection is made in consideration of the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
FIG. 4 is a flowchart of a method of PDTQ policy selection performed by PCF according to another embodiment of the present application. Referring to FIG. 4, the method 400 is performed by a network entity (e.g., Policy Control Function (PCF) ) and includes the followings. In Step 410, the network entity determines a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies based on energy related parameters and analytics. That is, the network entity can provide a set of PDTQ policies that are decided by taking energy related information (i.e., the energy related parameters and analytics) into account. The energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies. In Step S420, the network entity provides the set of PDTQ policies to Application Function (AF) for the AF to select one from the set of PDTQ policies. That is, the AF may select one from the set of PDTQ policies determined in Step S410 and informs the network entity of the selected PDTQ policy. The selected PDTQ policy selection has already considered the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
In some embodiments, the method further includes updating to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; and triggering re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies. This would help on dynamic PDTQ policy selection based on new network conditions.
In some embodiments, the method further includes informing the AF that energy criterion is not met; and being informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies. This would help on PDTQ policy reselection based on energy criterion.
FIG. 5 is a flowchart of a method of PDTQ policy selection performed by AF according to an embodiment of the present application. Referring to FIG. 5, the method 500 is performed by a network entity (e.g., Application Function (AF) ) and includes the followings. In Step 510, the network entity receives from Policy Control Function (PCF) energy related parameters and analytics and one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies. That is, when receiving the one or more PDTQ policies, the network entity also receives energy related information (i.e., the energy related parameters and analytics) from the PCF so as to make PDTQ policy selection based on the energy related information. The energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies. In Step 520, the network entity selects one of the one or more PDTQ policies based on the received energy related parameters and analytics. In Step 530, the network entity informs the PCF about the selected PDTQ policy. That is, the network entity may select one of the PDTQ policies based on the energy related parameters and analytics provided by the PCT and inform the PCT of the selected PDTQ policy. The PDTQ policy selection is made in consideration of the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
FIG. 6 is a flowchart of a method of PDTQ policy selection performed by AF according to another embodiment of the present application. Referring to FIG. 6, the method 600 is performed by a network entity (e.g., Application Function (AF) ) and includes the followings. In Step 610, the network entity receives from Policy Control Function (PCF) a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies which is determined based on energy related parameters and analytics. That is, the PCF can provide a set of PDTQ policies that are decided by taking energy related information (i.e., the energy related parameters and analytics) into account, and the network entity receives the set of PDTQ policies from the PCF. The energy related information may include, but is not limited to, a target energy cost value, an energy identifier, a target energy efficiency value, and a charging rate, for example, for each of the PDTQ policies. In Step 620, the network entity selects one from the set of PDTQ policies. In Step 630, the network entity informs the PCF about the selected PDTQ policy. That is, the network entity may select one from the set of PDTQ policies determined in Step S610 and informs the PCF of the selected PDTQ policy. The selected PDTQ policy selection has already considered the energy related information. It is beneficial to consider energy related parameters and analytics in order to come up with a more efficient policies-related solution.
In some embodiments, the method further includes receiving from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and making PDTQ policy selection based on the new candidate PDTQ policies. This would help on dynamic PDTQ policy selection based on new network conditions.
In some embodiments, the method further includes being informed by the PCF that energy criterion is not met; and reselecting a PDTQ policy based on previously provided PDTQ policies. This would help on PDTQ policy reselection based on energy criterion.
The AF can also consider the target energy cost value, an energy identifier (i.e., to indicate the selection of a policy that minimizes the energy cost value) , a target energy efficiency value, the charging rate, and the other attributes of the PDTQ policies when deciding which PDTQ policy to select among those provided by the PCF (e.g., via NEF) . In other words, the AF can decide what trade-offs to make between energy cost value, monetary cost, the time window of the transfer, etc.
The PCF can also update a list of new candidate PDTQ policies considering by itself the energy criteria on the new network conditions, from which the AF can choose. It can also provide the reasons for triggering such re-negotiation to allow the AF to make a choice regarding the selection of the new PDTQ policy. Alternatively, the PCF can notify the AF indicating only that the energy criteria cannot be met, then the AF can select a different PDTQ policy.
Therefore, there are at least three possible solutions considering enhancing of PDTQ: (all PCF-AF communication can be done via NEF)
1. PCF providing the energy related parameters and analytics to AF along with PDTQ policies, so AF can decide.
2. PCF deciding on a set of PDTQ policies, while taking energy related parameters and analytics into account.
3. PCF informing AF that energy criteria can’ t be met, then AF would select a different PDTQ based on the set of PDTQ policies previously provided by PCF.
Those of ordinary skill in the art may realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein may be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on specific applications and design constraints of the technical solutions. Professionals may realize the described functions for each specific application by use of different methods, but such realization shall fall within the scope of the disclosure.
Those skilled in the art may clearly know that for specific working processes of the system, device and unit described above, reference can be made to the corresponding processes in the method embodiment, and they will not be elaborated herein for ease and brevity of description.
In some embodiments provided in the disclosure, it is to be understood that the disclosed system, apparatus, and method may be implemented in manners. For example, the apparatus embodiment described above is only schematic. For example, division of the units is only logic function division, and other division manners may be used during practical implementation. For example, multiple units or components may be combined or integrated into another system, or some characteristics may be neglected or not performed. In addition, coupling or direct coupling or communication connection between each displayed or discussed component may be indirect coupling or communication connection, implemented through some interfaces, of the apparatus or the units, and may be electrical and mechanical or adopt other forms.
The units described as separate parts may or may not be physically separated. Parts displayed as units may or may not be physical units, namely they may be located in the same place, or may be distributed to multiple network units. Part or all of the units may be selected to achieve the objectives of the solutions of the embodiments as practically needed.
In addition, each function unit in each embodiment of the disclosure may be integrated into a processing unit. Alternatively, each unit may physically exist independently. Alternatively, two or more than two units may be integrated into a unit.
When being realized in form of a software function unit and sold or used as an independent product, the function may also be stored in a computer-readable storage medium. Based on such an understanding, the technical solutions of the disclosure substantially or parts making contributions to the conventional art or part of the technical solutions may be embodied in form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for enabling a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method in each embodiment of the disclosure. The above-mentioned storage medium includes various media capable of storing program codes, such as a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above is only the specific implementation mode of the disclosure and not intended to limit the scope of protection of the disclosure. Any variations or replacements apparent to those skilled in the art within the technical scope disclosed in the disclosure shall fall within the scope of protection of the disclosure. Therefore, the scope of protection of the disclosure shall be subject to the scope of protection of the claims.

Claims (40)

  1. A method of PDTQ policy selection, performed by a network entity, comprising:
    providing energy related parameters and analytics to Application Function (AF) along with one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies; and
    being informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics.
  2. The method of claim 1, further comprising:
    updating to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; and
    triggering re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies.
  3. The method of claim 1, further comprising:
    informing the AF that energy criterion is not met; and
    being informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies.
  4. The method of claim 1, wherein the network entity comprises Policy Control Function (PCF) .
  5. The method of claim 1, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  6. A method of PDTQ policy selection, performed by a network entity, comprising:
    determining a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies based on energy related parameters and analytics; and
    providing the set of PDTQ policies to Application Function (AF) for the AF to select one from the set of PDTQ policies.
  7. The method of claim 6, further comprising:
    updating to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; and
    triggering re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies.
  8. The method of claim 6, further comprising:
    informing the AF that energy criterion is not met; and
    being informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies.
  9. The method of claim 6, wherein the network entity comprises Policy Control Function (PCF) .
  10. The method of claim 6, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  11. A network entity, comprising:
    at least one memory configured to store program instructions; and
    at least one processor configured to execute the program instructions, which cause the at least one processor to:
    provide energy related parameters and analytics to Application Function (AF) along with one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies; and
    be informed by the AF about one of the PDTQ policies, which is selected based on the provided energy related parameters and analytics.
  12. The network entity of claim 11, wherein the program instructions further cause the at least one processor to:
    update to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; and
    trigger re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies.
  13. The network entity of claim 11, wherein the program instructions further cause the at least one processor to:
    inform the AF that energy criterion is not met; and
    be informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies.
  14. The network entity of claim 11, wherein the network entity comprises Policy Control Function (PCF) .
  15. The network entity of claim 11, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  16. A network entity, comprising:
    at least one memory configured to store program instructions; and
    at least one processor configured to execute the program instructions, which cause the at least one processor to:
    determine a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies based on energy related parameters and analytics; and
    provide the set of PDTQ policies to Application Function (AF) for the AF to select one from the set of PDTQ policies.
  17. The network entity of claim 16, wherein the program instructions further cause the at least one processor to:
    update to the AF a list of new candidate PDTQ policies considering by itself energy criteria on new network conditions; and
    trigger re-negotiation to allow the AF to make PDTQ policy selection based on the new candidate PDTQ policies.
  18. The network entity of claim 16, wherein the program instructions further cause the at least one processor to:
    inform the AF that energy criterion is not met; and
    be informed by the AF about a reselected PDTQ policy, which is reselected based on previously provided PDTQ policies.
  19. The network entity of claim 16, wherein the network entity comprises Policy Control Function (PCF) .
  20. The network entity of claim 16, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  21. A method of PDTQ policy selection, performed by a network entity, comprising:
    receiving from Policy Control Function (PCF) energy related parameters and analytics and one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies;
    selecting one of the one or more PDTQ policies based on the received energy related parameters and analytics; and
    informing the PCF about the selected PDTQ policy.
  22. The method of claim 21, further comprising:
    receiving from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and
    making PDTQ policy selection based on the new candidate PDTQ policies.
  23. The method of claim 21, further comprising:
    being informed by the PCF that energy criterion is not met; and
    reselecting a PDTQ policy based on previously provided PDTQ policies.
  24. The method of claim 21, wherein the network entity comprises Application Function (AF) .
  25. The method of claim 21, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  26. A method of PDTQ policy selection, performed by a network entity, comprising:
    receiving from Policy Control Function (PCF) a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies which is determined based on energy related parameters and analytics;
    selecting one from the set of PDTQ policies; and
    informing the PCF about the selected PDTQ policy.
  27. The method of claim 26, further comprising:
    receiving from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and
    making PDTQ policy selection based on the new candidate PDTQ policies.
  28. The method of claim 26, further comprising:
    being informed by the PCF that energy criterion is not met; and
    reselecting a PDTQ policy based on previously provided PDTQ policies.
  29. The method of claim 26, wherein the network entity comprises Application Function (AF) .
  30. The method of claim 26, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  31. A network entity, comprising:
    at least one memory configured to store program instructions; and
    at least one processor configured to execute the program instructions, which cause the at least one processor to:
    receive from Policy Control Function (PCF) energy related parameters and analytics and one or more Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies;
    select one of the one or more PDTQ policies based on the received energy related parameters and analytics; and
    inform the PCF about the selected PDTQ policy.
  32. The network entity of claim 31, wherein the program instructions further cause the at least one processor to:
    receive from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and
    make PDTQ policy selection based on the new candidate PDTQ policies.
  33. The network entity of claim 31, wherein the program instructions further cause the at least one processor to:
    be informed by the PCF that energy criterion is not met; and
    reselect a PDTQ policy based on previously provided PDTQ policies.
  34. The network entity of claim 31, wherein the network entity comprises Application Function (AF) .
  35. The network entity of claim 31, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
  36. A network entity, comprising:
    at least one memory configured to store program instructions; and
    at least one processor configured to execute the program instructions, which cause the at least one processor to:
    receive from Policy Control Function (PCF) a set of Planned Data transfer with Quality of Service (QoS) requirements (PDTQ) policies which is determined based on energy related parameters and analytics;
    select one from the set of PDTQ policies; and
    inform the PCF about the selected PDTQ policy.
  37. The network entity of claim 36, wherein the program instructions further cause the at least one processor to:
    receive from the PCF an updated list of new candidate PDTQ policies considering energy criteria on new network conditions; and
    make PDTQ policy selection based on the new candidate PDTQ policies.
  38. The network entity of claim 36, wherein the program instructions further cause the at least one processor to:
    be informed by the PCF that energy criterion is not met; and
    reselect a PDTQ policy based on previously provided PDTQ policies.
  39. The network entity of claim 36, wherein the network entity comprises Application Function (AF) .
  40. The network entity of claim 36, wherein the PDTQ policies are defined for a specific application service provider (ASP) and each of the PDTQ policies includes a recommended time window for traffic transfer for each of AF sessions involved.
PCT/CN2024/084145 2024-03-27 2024-03-27 Method of pdtq policy selection and related devices Pending WO2025199811A1 (en)

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