WO2024114187A1 - Procédé de configuration d'optimisation de réseau d'accès, dispositif, appareil et support de stockage - Google Patents

Procédé de configuration d'optimisation de réseau d'accès, dispositif, appareil et support de stockage Download PDF

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Publication number
WO2024114187A1
WO2024114187A1 PCT/CN2023/126442 CN2023126442W WO2024114187A1 WO 2024114187 A1 WO2024114187 A1 WO 2024114187A1 CN 2023126442 W CN2023126442 W CN 2023126442W WO 2024114187 A1 WO2024114187 A1 WO 2024114187A1
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base station
target base
energy
energy efficiency
network
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PCT/CN2023/126442
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English (en)
Chinese (zh)
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黄远芳
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大唐移动通信设备有限公司
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Publication of WO2024114187A1 publication Critical patent/WO2024114187A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present disclosure relates to the field of wireless communication technology, and in particular to a method, device, apparatus and storage medium for optimizing configuration of an access network.
  • Non-Real-Time RAN Intelligent Controller in the Open Radio Access Network (O-RAN) architecture uses an intelligent method to provide the optimization strategy of the Radio Access Network (RAN) to the Near-Real-Time RAN Intelligent Controller (Near-RT RIC) through the A1 interface as a guide for RAN intelligent optimization control.
  • the strategies provided by the A1 interface include Quality of Service (QoS)/Quality of Experience (QoE), Load balancing, Slice Service Level Agreement assurance (Slice SLA assurance), and User Equipment (UE) level indicators.
  • the energy-saving performance of wireless access systems is an important aspect that cannot be ignored.
  • the definition of energy efficiency indicators is not involved, so the energy efficiency of the wireless access network cannot be effectively controlled, which may cause a waste of resources.
  • Embodiments of the present disclosure provide a method, device, apparatus, and storage medium for optimizing configuration of an access network.
  • an embodiment of the present disclosure provides a method for optimizing configuration of an access network, including:
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station includes:
  • the data energy efficiency index of the target base station is determined;
  • the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the PEE measurement data collected from all physical network functions of the target base station. Data energy efficiency indicators.
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station further includes:
  • the service type is an eMBB network, determining an eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station;
  • the MIoT network slice energy efficiency index of the target base station is determined based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices.
  • determining the eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station includes:
  • the eMBB network slice energy efficiency index of the target base station is determined;
  • the eMBB network slice energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the energy consumption generated by each network slice providing services for the target base station.
  • determining the MIoT network slice energy efficiency index of the target base station based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices includes:
  • determining the access network optimization configuration of the target base station based on the energy saving strategy includes:
  • the external interface includes an Xn-U interface and an X2-U interface
  • the internal interface includes an F1-U interface
  • an embodiment of the present disclosure further provides an electronic device, including a memory, a transceiver, and a processor;
  • a memory for storing a computer program; a transceiver for transmitting and receiving data under the control of the processor; and a processor for reading the computer program in the memory and performing the following operations:
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station includes:
  • the data energy efficiency index of the target base station is determined;
  • the data energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the PEE measurement data collected from all physical network functions of the target base station.
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station further includes:
  • the service type is an eMBB network, determining an eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station;
  • the MIoT network slice energy efficiency index of the target base station is determined based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices.
  • the determining of the target base station is based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station.
  • eMBB network slicing energy efficiency indicators include:
  • the eMBB network slice energy efficiency index of the target base station is determined;
  • the eMBB network slice energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the energy consumption generated by each network slice providing services for the target base station.
  • determining the MIoT network slice energy efficiency index of the target base station based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices includes:
  • determining the access network optimization configuration of the target base station based on the energy saving strategy includes:
  • the corresponding relationship between the energy-saving strategy and the scope includes one or more scopes to which each energy-saving strategy is applied, or one or more scopes adopted by each scope.
  • Energy saving strategy; the scope is determined by different scope identifiers, and the different scope identifiers include: terminal identifier, group identifier, slice identifier, service quality identifier, cell identifier and node identifier.
  • the external interface includes an Xn-U interface and an X2-U interface
  • the internal interface includes an F1-U interface
  • an embodiment of the present disclosure further provides a device for optimizing access network configuration, including:
  • An energy-saving module used to determine an energy efficiency index corresponding to the energy-saving strategy of the target base station and a value of the energy efficiency index based on the type of the target base station and the type of service carried by the target base station;
  • a configuration module configured to determine an optimized access network configuration of the target base station based on the energy-saving strategy
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • an embodiment of the present disclosure further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is used to enable a computer to execute the method for optimizing the configuration of the access network as described in the first aspect above.
  • an embodiment of the present disclosure further provides a communication device, wherein a computer program is stored in the communication device, and the computer program is used to enable the communication device to execute the method for optimizing the configuration of the access network as described in the first aspect above.
  • an embodiment of the present disclosure further provides a processor-readable storage medium, wherein the processor-readable storage medium stores a computer program, and the computer program is used to enable the processor to execute the method for optimizing the configuration of the access network as described in the first aspect above.
  • an embodiment of the present disclosure further provides a chip product, wherein a computer program is stored in the chip product, and the computer program is used to enable the chip product to execute the method for optimizing the configuration of the access network as described in the first aspect above.
  • the access network optimization configuration method, device, apparatus and storage medium provided in the embodiments of the present disclosure determine the energy-saving strategy of the target base station according to the type of the target base station and the type of service carried by the target base station, and include the energy-saving strategy in the existing access network optimization configuration, so as to control the energy-saving strategy of the access network through the access network optimization configuration, and use the existing A1 interface to send the access network optimization configuration including the energy-saving strategy, thereby making up for the lack of energy saving in the existing access network optimization configuration, and does not need to add additional process mechanisms, and does not need to increase additional resource overhead, so the implementation method is more flexible and convenient.
  • FIG1 is a schematic diagram of an open wireless access network architecture provided by related technologies
  • FIG2 is a schematic diagram of a flow chart of a method for optimizing access network configuration provided by an embodiment of the present disclosure
  • FIG3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure.
  • FIG4 is a schematic diagram of the structure of an apparatus for optimizing configuration of an access network provided in an embodiment of the present disclosure.
  • the term "and/or” describes the association relationship of associated objects, indicating that three relationships may exist.
  • a and/or B may represent three situations: A exists alone, A and B exist at the same time, and B exists alone.
  • the character "/" generally indicates that the associated objects before and after are in an "or” relationship.
  • plurality in the embodiments of the present disclosure refers to two or more than two, and other quantifiers are similar thereto.
  • FIG1 is a schematic diagram of an open wireless access network architecture provided by related technologies; as shown in FIG1 , dotted lines represent interfaces defined by the open wireless access network O-RAN, solid lines represent interfaces defined by 3GPP, and dashed lines represent interfaces defined outside of O-RAN.
  • SMO service management and orchestration framework
  • the Non-RT RIC sends the optimization strategy of the wireless access network to the Near-RT RIC through the A1 interface.
  • the SMO is connected to the O-RAN Radio Unit (O-RU) through the open fronthaul management plane (open fronthaul management-plane, open fronthaul M-plane).
  • the A1 interface defines five policy statements: quality of service (QoS) target, quality of experience (QoE) target, terminal level (UE level) target, slice service level agreement guarantee (slice SLA) target, and load balancing (load balancing) target.
  • QoS quality of service
  • QoE quality of experience
  • UE level terminal level
  • slice service level agreement guarantee slice service level agreement guarantee
  • load balancing load balancing
  • TspResource Traffic steering preference
  • 0..1 means that the parameter is optional, “1” means that the parameter is configured, and “0” means that the parameter is not configured.
  • FIG. 2 is a flow chart of a method for optimizing access network configuration provided by an embodiment of the present disclosure. As shown in FIG. 2 , the method specifically includes:
  • Step 201 Based on the type of a target base station and the type of service carried by the target base station, determine an energy efficiency index corresponding to the energy saving strategy of the target base station and a value of the energy efficiency index;
  • Step 202 Determine the access network optimization configuration of the target base station based on the energy saving strategy
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • the present invention proposes an enhanced policy management function of the A1 interface, and expands the original access network optimization configuration of the A1 interface, adds new configuration parameters related to the energy-saving strategy, and realizes the control and optimization of the energy efficiency of wireless networks.
  • the wireless network mainly refers to the 5G wireless access network, which is provided by different 5G base stations (gNB).
  • Different base stations may be divided into different types according to network requirements, such as split type (split) and non-split type (non-split).
  • the split type here mainly refers to the base station gNB adopting the centralized unit (CU) and distributed unit (DU) separation mode.
  • the base station gNB is reconstructed into two functional entities, CU and DU, to complete the functions of the original non-split type gNB.
  • the centralized unit CU mainly includes non-real-time wireless high-level protocol stack functions, and also supports the sinking of some core network functions and the deployment of edge application services, while the distributed unit DU mainly handles the physical layer Layer 2 functionality for functional and real-time requirements.
  • 5G base stations There are many types of services carried by 5G base stations, such as existing basic services such as 5G network calls and videos, enhanced mobile broadband (eMBB) services, ultra-reliable and low-latency communications (URLLC) services, and massive Internet of Things (MIoT) services.
  • eMBB enhanced mobile broadband
  • URLLC ultra-reliable and low-latency communications
  • MIoT massive Internet of Things
  • the Non-RT RIC non-real-time radio access network controller configures the energy-saving strategy of the target base station according to the type of target base station and the type of service carried by the target base station. This can be achieved by configuring a variety of energy efficiency indicators, including: data energy efficiency indicators, enhanced mobile bandwidth eMBB network slicing energy efficiency indicators and massive Internet of Things MIoT network slicing energy efficiency indicators.
  • the data energy efficiency indicators are mainly for basic 5G network services; the enhanced mobile bandwidth eMBB network slicing energy efficiency indicators are mainly for eMBB networks, and network resources are reflected in the form of slices; the large-scale Internet of Things MIoT network slicing energy efficiency indicators are mainly for MIoT networks, and network resources are reflected in the form of slices.
  • the method for optimizing the configuration of an access network determines the energy-saving strategy of the target base station according to the type of the target base station and the type of service carried by the target base station, and includes the energy-saving strategy in the existing optimization configuration of the access network, thereby controlling the energy-saving strategy of the access network through the optimization configuration of the access network, and utilizing the existing access network optimization configuration including the energy-saving strategy sent through the A1 interface, thereby making up for the deficiency of the existing optimization configuration of the access network in terms of energy saving, and does not require the addition of additional process mechanisms, and does not require additional resource overhead, and the implementation method is more flexible and convenient.
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station includes:
  • the type of the target base station is indivisible, then within the measurement period, based on the The data volume of uplink and downlink services of the target base station, and the collection of power consumption energy environment (PEE) measurement data from all physical network functions of the target base station to determine the data energy efficiency index of the target base station;
  • PEE power consumption energy environment
  • the data energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the PEE measurement data collected from all physical network functions of the target base station.
  • the data volume of the uplink service and the data volume of the downlink service of the target base station are determined respectively within the measurement period to determine the total service data volume of the base station.
  • determining the data volume of the uplink service or the data volume of the downlink service it is mainly determined by measuring the total number of bits of the Packet Data Convergence Protocol (PDCP) Service Data Unit (SDU), in KB (kilobytes). Further, the power consumption energy environment (Power, Energy and Environmental, PEE) measurement data collected from all physical network functions of the base station within the same measurement period is determined as the energy consumption value. Then, the sum of the data volumes of the above-mentioned uplink and downlink services and the quotient of the energy consumption value are used as the data energy efficiency index of the target base station.
  • PDCP Packet Data Convergence Protocol
  • SDU Service Data Unit
  • KB kilobytes
  • sample represents all uplink and downlink data volume samples corresponding to the target base station.
  • the target base station type is splittable, that is, the target base station consists of a gNB CU and a gNB DU
  • the amount of data transmitted to the target base station through the external interface connected to the target base station and the amount of data transmitted inside the target base station through the internal interface are determined respectively.
  • the external interfaces connected to the target base station include X2-U interface, Xn-U interface,
  • the X2-U interface is the user plane interface between the 4G base station (eNB) and the 5G base station (gNB)
  • the Xn-U interface is the user plane interface between the enhanced 4G base station (ng-eNB) and the 5G base station (gNB).
  • Determine the amount of data transmitted to the target base station through an external interface connected to the target base station specifically by counting the amount of data transmitted to the target base station through different external interfaces X2-U interfaces and/or Xn-U interfaces during the measurement period.
  • the value of the number of uplink PDCP SDU bits sent to the target base station through the X2-U interface can be expressed as DRB.X2uPdcpSduVolumeUl; and the value of the number of downlink PDCP SDU bits transmitted from the target base station to the outside through the X2-U interface can be expressed as DRB.X2uPdcpSduVolumeDl.
  • the value of the number of uplink PDCP SDU bits sent to the target base station through the Xn-U interface is determined, which can be expressed as DRB.XnuPdcpSduVolumeUl; and the value of the number of downlink PDCP SDU bits transmitted from the target base station to the outside through the Xn-U interface can be expressed as DRB.XnuPdcpSduVolumeDl.
  • the value of the uplink PDCP SDU bits entering the centralized CU user plane of the gNB from the distributed unit DU of the gNB through the F1-U interface is determined, which can be expressed as DRB.F1uPdcpSduVolumeUl; and the value of the downlink PDCP SDU bits sent to the gNB DU through the F1-U interface can be expressed as DRB.F1uPdcpSduVolumeDl.
  • the total data volume of the uplink and downlink services is determined to be the sum of any combination of the data volumes corresponding to the above three interfaces.
  • the power consumption energy environment PEE measurement data collected from all physical network functions of the target base station in the same measurement period is determined as the energy consumption value. Then, the total data volume of the uplink and downlink services and the quotient of the energy consumption value are used as the data energy efficiency index of the target base station.
  • sample represents all data samples gathered to the target base station.
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station further includes:
  • the service type is an eMBB network, determining an eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station;
  • the MIoT network slice energy efficiency index of the target base station is determined based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices.
  • the energy efficiency indicators of the enhanced mobile bandwidth eMBB network slice and the energy efficiency indicators of the massive Internet of Things MIoT network slice corresponding to different service types can be further determined.
  • the different business types here specifically include: enhanced mobile bandwidth eMBB network and massive Internet of Things MIoT network.
  • the service type is an eMBB network
  • determining an eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station
  • the MIoT network slice energy efficiency index of the target base station is determined based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices.
  • determining the eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station includes:
  • the eMBB network slice energy efficiency index of the target base station is determined;
  • the eMBB network slice energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the energy consumption generated by each network slice providing services for the target base station.
  • the service carried by the target base station is an eMBB network
  • the eMBB network slice energy efficiency index in the energy-saving strategy it is necessary to further implement the corresponding configuration according to the type of base station.
  • the amount of data corresponding to each network slice serving the target base station and the energy consumption generated by each network slice serving the target base station are respectively determined to determine the eMBB network slice energy efficiency index of the target base station;
  • each network slice serving the target base station it is first necessary to determine all network slices serving the target base station, or all network slices supported by the target base station, as a first set, and identify these network slices through single network slice selection assistance information (Single Network Slice Selection Assistance Information, S-NSSAI or SNSSAI).
  • S-NSSAI Single Network Slice Selection Assistance Information
  • the energy consumption of the network slice that is, the energy consumption corresponding to all network slices in the first set, as an energy consumption value, can be expressed as EC RANonlyns . Then, the sum of the data volume of the uplink service DRB.PdcpSduVolumeUl.SNSSAI and the data volume of the downlink service DRB.PdcpSduVolumeDl.SNSSAI, and the quotient of the energy consumption value are used as the eMBB network slice energy efficiency indicator of the target base station.
  • sample represents all network slices providing services for the target base station, or a set consisting of all network slices supported by the target base station.
  • the target base station When the type of the target base station is splittable, that is, the target base station consists of a gNB CU and a gNB DU. During the measurement period, the amount of data transmitted to the target base station in the form of a network slice through an external interface connected to the target base station and the amount of data transmitted in the form of a network slice through an internal interface inside the target base station are determined respectively.
  • the external interfaces connected to the target base station include the X2-U interface and the Xn-U interface, wherein the X2-U interface is the user plane interface between the 4G base station (eNB) and the 5G base station (gNB), and the Xn-U interface is the user plane interface between the enhanced 4G base station (ng-eNB) and the 5G base station (gNB).
  • the value of the number of downlink PDCP SDU bits sent by each network slice to the external eNB through the X2-U interface in the second set can be expressed as DRB.X2uPdcpSduVolumeDl.SNSSAI; and the value of the number of uplink PDCP SDU bits from the external eNB to the gNB CU user plane of each network slice through the X2-U interface is determined. Value, which can be expressed as DRB.X2uPdcpSduVolumeUl.SNSSAI.
  • the external interface is the Xn-U interface.
  • the value of the number of downlink PDCP SDU bits sent by each network slice to the external enhanced 4G base station (next generation evolved Node B, ng-eNB) user plane through the Xn-U interface can be expressed as DRB.XnuPdcpSduVolumeDl.SNSSAI; and the value of the number of uplink PDCP SDU bits of each network slice entering the target gNB CU user plane from the external gNB CU user plane through the Xn-U interface can be expressed as DRB.XnuPdcpSduVolumeUl.SNSSAI.
  • all network slices supported by the target base station are determined as the second set, and the amount of uplink data and the amount of downlink data transmitted in the form of each network slice of the above second set through the F1-U interface are counted.
  • the value of the number of downlink PDCP SDU bits sent to the gNB DU by each network slice through the F1-U interface in the second set can be expressed as DRB.F1uPdcpSduVolumeDl.SNSSAI; and the value of the number of uplink PDCP SDU bits of each network slice entering the centralized CU user plane of the gNB from the distributed unit DU of the gNB through the F1-U interface can be expressed as DRB.F1uPdcpSduVolumeUl.SNSSAI.
  • the total data volume of the uplink and downlink services is determined to be the sum of any combination of the data volumes corresponding to the above three interfaces.
  • the energy consumption of all network slices supported by the target base station in the same measurement period is determined, that is, the energy consumption corresponding to all network slices in the first set, as an energy consumption value, which can be expressed as EC RANonlyns . Then, the total data volume of the above uplink and downlink services and the quotient of the energy consumption value are used as the eMBB network slice energy efficiency indicator of the target base station.
  • sample represents all network slices providing services for the target base station, or a set consisting of all network slices supported by the target base station.
  • determining the MIoT network slice energy efficiency index of the target base station based on all network slices serving the target base station, or all network slices supported by the target base station, and the average number of active users corresponding to each of the network slices includes:
  • the service carried by the target base station is an MIoT network
  • all network slices providing services for the target base station, or all network slices supported by the target base station are first determined as the third set, and these network slices are identified by S-NSSAI (SNSSAI).
  • the energy consumption of all network slices serving the target base station, or all network slices supported by the target base station, that is, the energy consumption corresponding to all network slices in the first set is determined as an energy consumption value, which can be expressed as EC ns .
  • the sum of the above-mentioned average number of active users in the uplink DRB.MeanActiveUeUl.SNSSAI and the average number of active users in the downlink DRB.MeanActiveUeDl.SNSSAI, and the quotient of the energy consumption value are used as the MIoT network slice energy efficiency indicator of the target base station.
  • determining the access network optimization configuration of the target base station based on the energy saving strategy includes:
  • the correspondence between the energy-saving strategy and the scope includes one or more scopes to which each energy-saving strategy is applied, or one or more energy-saving strategies adopted by each scope; the scope is determined by different scope identifiers, and the different scope identifiers include: terminal identifier, group identifier, slice identifier, service quality identifier, cell identifier and node identifier.
  • the scope (scope of action) of the energy-saving strategy also needs to be considered.
  • the existing scope parameters in the access network optimization configuration sent through the A1 interface are used for improvement.
  • the existing different scope identifiers include: terminal identifier, group identifier, slice identifier, service quality identifier, and cell identifier.
  • the present disclosure adds a node identifier to the existing different scope identifiers.
  • the node identifier is used to identify the base station gNB to which the policy declaration applies. It can be expressed as follows in Table 6:
  • the corresponding strategy goal statement can be specifically expressed by Table 7, wherein the energy efficiency indicator (Energy Efficiency Objectives, EEObjectives) represents the energy-saving strategy of the present invention.
  • the specific scope of energy-saving strategy application can be configured, that is, the corresponding relationship between energy-saving strategy and scope can be configured.
  • the corresponding relationship specifically includes one or more scopes to which each energy-saving strategy is applied, or one or more energy-saving strategies adopted by each scope.
  • the corresponding relationship between energy-saving strategy and scope can be configured in a variety of ways, which is more flexible.
  • the correspondence between the newly added energy-saving strategies and scope identifiers that is, the ScopeIdentifier combination corresponding to the energy efficiency indicators (EEObjectives), can be expressed as shown in Table 8.
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • the method for optimizing the configuration of an access network determines the energy-saving strategy of the target base station according to the type of the target base station and the type of service carried by the target base station, and includes the energy-saving strategy in the existing optimization configuration of the access network, thereby controlling the energy-saving strategy of the access network through the optimization configuration of the access network, and utilizing the existing access network optimization configuration including the energy-saving strategy sent through the A1 interface, thereby making up for the deficiency of the existing optimization configuration of the access network in terms of energy saving, and does not require the addition of additional process mechanisms, and does not require additional resource overhead, and the implementation method is more flexible and convenient.
  • FIG3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present disclosure.
  • the electronic device includes a memory 320, a transceiver 300, and a processor 310, wherein:
  • the memory 320 is used to store computer programs; the transceiver 300 is used to send and receive data under the control of the processor 310; the processor 310 is used to read the computer program in the memory 320 and perform the following operations:
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • the transceiver 300 is used to receive and send data under the control of the processor 310 .
  • the bus architecture may include any number of interconnected buses and bridges.
  • the various circuits of one or more processors represented by processor 310 and memory represented by memory 320 are linked together.
  • the bus architecture can also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein.
  • the bus interface provides an interface.
  • the transceiver 300 can be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium, which transmission medium includes a wireless channel, a wired channel, an optical cable, and the like.
  • the processor 310 is responsible for managing the bus architecture and general processing, and the memory 320 can store data used by the processor 310 when performing operations.
  • processor 310 can be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or a complex programmable logic device (CPLD), and the processor can also adopt a multi-core architecture.
  • CPU central processing unit
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • CPLD complex programmable logic device
  • the processor calls the computer program stored in the memory to execute any of the methods provided by the embodiments of the present disclosure according to the obtained executable instructions.
  • the processor and the memory can also be arranged physically separately.
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station includes:
  • the data energy efficiency index of the target base station is determined;
  • the type of the target base station is divisible, then during the measurement period, based on the external interface connected to the target base station, the internal interface of the target base station, and the The amount of data transmitted to the target base station through an external interface or an internal interface, and PEE measurement data collected from all physical network functions of the target base station, determine the data energy efficiency index of the target base station.
  • the determining, based on the type of the target base station and the type of service carried by the target base station, an energy efficiency indicator and a value of the energy efficiency indicator included in the energy saving strategy of the target base station further includes:
  • the service type is an eMBB network, determining an eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station;
  • the MIoT network slice energy efficiency index of the target base station is determined based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices.
  • determining the eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station includes:
  • the eMBB network slice energy efficiency index of the target base station is determined;
  • the eMBB network slice energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the energy consumption generated by each network slice providing services for the target base station.
  • the method is based on all networks providing services to the target base station.
  • the slice and the average number of active users corresponding to each of the network slices are used to determine the MIoT network slice energy efficiency index of the target base station, including:
  • determining the access network optimization configuration of the target base station based on the energy saving strategy includes:
  • the correspondence between the energy-saving strategy and the scope includes one or more scopes to which each energy-saving strategy is applied, or one or more energy-saving strategies adopted by each scope; the scope is determined by different scope identifiers, and the different scope identifiers include: terminal identifier, group identifier, slice identifier, service quality identifier, cell identifier and node identifier.
  • the external interface includes an Xn-U interface and an X2-U interface
  • the internal interface includes an F1-U interface
  • FIG4 is a schematic diagram of the structure of a device for optimizing access network configuration provided by an embodiment of the present disclosure. As shown in FIG4 , the device includes:
  • the energy saving module 401 is used to: determining an energy efficiency index corresponding to the energy saving strategy of the target base station and a value of the energy efficiency index based on the service type of the target base station;
  • a configuration module 402 is used to determine the access network optimization configuration of the target base station based on the energy saving strategy
  • the energy efficiency indicators corresponding to the energy-saving strategy include:
  • the energy saving module 401 is specifically used to determine the energy efficiency index and the value of the energy efficiency index included in the energy saving strategy of the target base station based on the type of the target base station and the type of service carried by the target base station:
  • the data energy efficiency index of the target base station is determined;
  • the data energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the PEE measurement data collected from all physical network functions of the target base station.
  • the energy saving module 401 includes a first determining unit, a second determining unit, and a third determining unit;
  • a first determining unit configured to determine a service type carried by the target base station
  • a second determination unit is configured to determine, if the service type is an eMBB network, an eMBB network slice energy efficiency index of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station;
  • the third determining unit is configured to determine, if the service type is an MIoT network, All network slices served by the target base station and the average number of active users corresponding to each of the network slices are used to determine the MIoT network slice energy efficiency index of the target base station.
  • the second determination unit in the process of determining the eMBB network slice energy efficiency indicator of the target base station based on the type of the target base station and the amount of data corresponding to each network slice serving the target base station, is specifically used to:
  • the eMBB network slice energy efficiency index of the target base station is determined;
  • the eMBB network slice energy efficiency index of the target base station is determined based on the external interface connected to the target base station, the internal interface of the target base station, the amount of data transmitted to the target base station through the external interface or the internal interface, and the energy consumption generated by each network slice providing services for the target base station.
  • the third determination unit in the process of determining the MIoT network slice energy efficiency index of the target base station based on all network slices providing services for the target base station and the average number of active users corresponding to each of the network slices, is specifically used to:
  • the configuration module 402 in the process of determining the access network optimization configuration of the target base station based on the energy-saving strategy, is specifically used to:
  • the correspondence between the energy-saving strategy and the scope includes one or more scopes to which each energy-saving strategy is applied, or one or more energy-saving strategies adopted by each scope; the scope is determined by different scope identifiers, and the different scope identifiers include: terminal identifier, group identifier, slice identifier, service quality identifier, cell identifier and node identifier.
  • the external interface includes an Xn-U interface and an X2-U interface
  • the internal interface includes an F1-U interface
  • the above-mentioned access network optimization configuration device provided by the embodiment of the present disclosure can implement all the method steps implemented by the above-mentioned method embodiment, and can achieve the same technical effect.
  • the parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.
  • each functional unit in each embodiment of the present disclosure may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium.
  • the technical solution of the present disclosure can essentially or in other words, the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present disclosure.
  • the aforementioned storage medium includes: USB flash drive, mobile hard disk, read-only memory (Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disk or CD-ROM, etc., which can store program code.
  • an embodiment of the present disclosure further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is used to enable a computer to execute the access network optimization configuration method provided in the above embodiments.
  • the computer-readable storage medium can be any available medium or data storage device that can be accessed by a computer, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)), etc.
  • magnetic storage such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.
  • optical storage such as CD, DVD, BD, HVD, etc.
  • semiconductor storage such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)
  • the applicable systems can be global system of mobile communication (GSM) system, code division multiple access (CDMA) system, wideband code division multiple access (WCDMA) general packet radio service (GPRS) system, long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD) system, long term evolution advanced (LTE-A) system, universal mobile telecommunication system (universal mobile telecommunication system) system, etc. system, UMTS), worldwide interoperability for microwave access (WiMAX) system, 5G New Radio (NR) system, etc.
  • GSM global system of mobile communication
  • CDMA code division multiple access
  • WCDMA wideband code division multiple access
  • GPRS general packet radio service
  • LTE long term evolution
  • FDD LTE frequency division duplex
  • TDD LTE time division duplex
  • LTE-A long term evolution advanced
  • LTE-A long term evolution advanced
  • WiMAX worldwide interoperability for microwave access
  • NR 5G New Radio
  • NR 5
  • the access network device (or network device) involved in the embodiments of the present disclosure may be a base station, which may include multiple cells that provide services to terminals.
  • the base station may also be called an access point, or may be a device in the access network that communicates with the wireless terminal device through one or more sectors on the air interface, or other names.
  • the access network device can be used to interchange received air frames with Internet Protocol (IP) packets, acting as a router between the wireless terminal device and the rest of the access network, where the rest of the access network may include an Internet Protocol (IP) communication network.
  • IP Internet Protocol
  • the access network device can also coordinate the attribute management of the air interface.
  • the access network device involved in the embodiments of the present disclosure may be a network device (Base Transceiver Station, BTS) in the Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), or a network device (NodeB) in Wide-band Code Division Multiple Access (WCDMA), or an evolved network device (evolutional Node B, eNB or e-NodeB) in the long-term evolution (LTE) system, a 5G base station (gNB) in the 5G network architecture (next generation system), or a home evolved Node B (HeNB), a relay node, a home base station (femto), a pico base station (pico), etc., but is not limited in the embodiments of the present disclosure.
  • access network equipment may include centralized unit (CU) nodes and distributed unit (DU) nodes, and the centralized unit and the distributed unit may also be geographically separated.
  • the embodiments of the present disclosure may be provided as methods, systems, or computer program products.
  • the present disclosure may be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.
  • each process and/or box in the flowchart and/or block diagram, as well as the combination of the process and/or box in the flowchart and/or block diagram can be implemented by computer executable instructions.
  • These computer executable instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.
  • processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the processor-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.
  • processor-executable instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

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

Abstract

Des modes de réalisation de la présente invention concernent un procédé de configuration d'optimisation de réseau d'accès, un dispositif, un appareil et un support de stockage. Le procédé comprend : sur la base du type d'une station de base cible et du type d'un service supporté par la station de base cible, la détermination d'un indice d'efficacité énergétique, correspondant à une politique d'économie d'énergie de la station de base cible, et de la valeur de l'indice d'efficacité énergétique ; et sur la base de la politique d'économie d'énergie, la détermination d'une configuration d'optimisation de réseau d'accès de la station de base cible.
PCT/CN2023/126442 2022-12-02 2023-10-25 Procédé de configuration d'optimisation de réseau d'accès, dispositif, appareil et support de stockage WO2024114187A1 (fr)

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