Energy efficiency determination method, electronic device, storage medium and program product

Abstract

The present disclosure provides an energy efficiency determination method, an electronic device, a storage medium, and a program product. The method comprises: for a target base station used in an access network to provide a wireless network access service for at least one network object, acquiring base station energy consumption of each network object among the at least one network object; and on the basis of the base station energy consumption of each network object and base station side network performance index data corresponding to each network object on a target base station side, determining the base station energy efficiency of each network object and / or the access network side energy efficiency of each network object.

Description

Energy efficiency determination methods, electronic devices, storage media and software products

[0001] This disclosure claims priority to Chinese patent application No. 202411962500.3, filed on December 27, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This disclosure relates to the field of communication technology, and in particular to a method for determining energy efficiency, electronic devices, storage media, and program products. Background Technology

[0003] RAN-only sharing, also known as multi-operator core network (MOCN), is an important method of network sharing. In the MOCN architecture, multiple operators share a single radio access network (RAN), but each operator has its own independent core network (CN). This network sharing method allows multiple operators to provide services on the same RAN, thereby achieving resource sharing, reducing costs, and improving efficiency. Summary of the Invention

[0004] In a first aspect, this disclosure provides an energy efficiency determination method, comprising: for a target base station in an access network used to provide wireless network access services for at least one network object, obtaining the base station energy consumption consumed by each network object; and determining the base station energy efficiency and / or the access network energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data corresponding to each network object on the target base station side.

[0005] One implementation method involves determining the base station energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object, including: determining the base station energy efficiency of each network object based on the ratio between the base station-side network performance index data of each network object and the base station energy consumption consumed by each network object.

[0006] Another implementation method is to ensure that the base station energy efficiency of each network object satisfies the following formula:

[0007] EE i_operator P represents the base station energy efficiency of the i-th network object in at least one network object. i_operator EC represents the base station-side network performance metrics data for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0008] Another implementation involves determining the base station energy consumption of each network object in at least one network object based on the energy consumption of the target basic unit with the highest energy consumption among at least one basic unit of the target base station when the network load of the target base station is greater than or equal to a first preset threshold. The base station-side network performance index data of each network object in at least one network object is determined based on the base station-side network performance index data corresponding to the target basic unit. Based on the base station energy consumption of each network object and the base station-side network performance index data of each network object, the base station energy efficiency of each network object is determined, including: determining the base station energy efficiency of each network object based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit.

[0009] Another implementation involves, for at least one target network object whose network load is greater than or equal to a second preset threshold, obtaining the base station energy consumption consumed by each network object in the at least one network object, including: determining the target basic unit with the highest energy consumption from at least one basic unit of the base station; using the energy consumption of the target basic unit as the base station energy consumption consumed by the target network object; and determining the base station energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object, including: determining the base station-side network performance index data corresponding to the target basic unit as the base station-side network performance index data of the target network object; and determining the base station energy efficiency of the target network object based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit.

[0010] Another implementation method is to use multiple base station-side network performance index data for each network object; based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object, the base station energy efficiency of each network object is determined, including: the base station energy efficiency of each network object is determined by the ratio between the sum of the multiple base station-side network performance index data of each network object and the base station energy consumption consumed by each network object.

[0011] Another implementation method is to ensure that the base station energy efficiency of each network object satisfies the following formula:

[0012] EE i_operator Perf represents the base station energy efficiency of the i-th network object in at least one network object. i,j EC represents the network performance metrics data of the j-th base station side for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0013] Another implementation involves using multiple sets of base station-side network performance index data for each network object, with each set including at least one base station-side network performance index data. Based on the base station energy consumption consumed by each network object and the base station-side network performance index data for each network object, the base station energy efficiency of each network object is determined. This includes determining the base station energy efficiency of each network object by comparing the weighted sum of the combined value of each set of base station-side network performance index data for each network object with the base station energy consumption consumed by each network object.

[0014] In another implementation, the combined value of each set of base station-side network performance index data is determined based on the product of at least one base station-side network performance index data included in each set of base station-side network performance index data.

[0015] Another implementation method is to ensure that the base station energy efficiency of each network object satisfies the following formula:

[0016] EE i_operator PerfG represents the base station energy efficiency of the i-th network object in at least one network object. i,k w represents the combined value of the k-th group of base station-side network performance index data for the i-th network object. k EC represents the weight of the k-th group of base station-side network performance index data. i_operator This represents the base station energy consumption of the i-th network object.

[0017] In another implementation, at least one network object includes a target network object, which is any one of the at least one network objects; the access network side includes at least one target base station. Based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object, the access network-side energy efficiency of each network object is determined, including: determining the access network-side performance index data of the target network object based on the base station-side network performance index data corresponding to each target base station in at least one target base station; determining the access network-side energy efficiency of the target network object based on the ratio between the access network-side performance index data of the target network object and the energy consumption consumed by the target network object on the access network side; wherein, the energy consumption consumed by the target network object on the access network side is determined based on the base station energy consumption consumed by the target network object on each target base station in at least one target base station.

[0018] In another implementation, the access network side performance index data of the target network object is determined by the sum of the base station side network performance index data corresponding to each target base station side of the target network object in at least one target base station.

[0019] Another implementation method is to satisfy the following formula for the access network side energy efficiency of the target network object:

[0020] EE 5GMOCN_i_operator P represents the access network-side energy efficiency of the i-th network object in at least one network object. 5GMOCN_i_operator EC represents the access network-side performance metrics data for the i-th network object. 5GMOCN_i_operator This represents the energy consumption of the i-th network object on the access network side.

[0021] Another implementation approach is that the base station-side network performance index data for each network object is a single base station-side network performance index data; or, the base station-side network performance index data for each network object is a combination of multiple base station-side network performance index data.

[0022] In another implementation, the base station energy consumption of each network object is determined based on the energy consumption of at least one basic unit of the target base station.

[0023] Another implementation method is to determine the base station energy consumption of each network object based on the energy consumption of at least one basic unit of the target base station and the base station performance index data of each network object.

[0024] Another implementation method is to include at least one of the following network performance metrics data on the base station side: traffic, number of data packets, number of users, number of physical resource blocks occupied, latency, and reliability.

[0025] Another implementation method is that the network object includes at least one of the following: operator, network slice, quality of service granularity, network standard, service type, terminal type, and bandwidth portion.

[0026] Secondly, this disclosure provides an energy consumption determination device, comprising: an acquisition module and a determination module. The acquisition module is configured to acquire, for a target base station in an access network used to provide wireless network access services to at least one network object, the base station energy consumption consumed by each network object. The determination module is configured to determine the base station energy efficiency and / or the access network energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data corresponding to each network object on the target base station side.

[0027] One implementation involves a determination module that can be used to determine the base station energy efficiency of each network object based on the ratio between the base station-side network performance index data of each network object and the base station energy consumption of each network object.

[0028] Another implementation method is to ensure that the base station energy efficiency of each network object satisfies the following formula:

[0029] EE i_operator P represents the base station energy efficiency of the i-th network object in at least one network object. i_operator EC represents the base station-side network performance metrics data for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0030] In another implementation, when the network load of the target base station is greater than or equal to a first preset threshold, the base station energy consumption consumed by each network object in at least one network object is determined based on the energy consumption of the target basic unit with the highest energy consumption among at least one basic unit of the target base station; the base station-side network performance index data of each network object in at least one network object is determined based on the base station-side network performance index data corresponding to the target basic unit; the determination module can be used to determine the base station energy efficiency of each network object based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit.

[0031] Another implementation involves a determination module for at least one target network object whose network load is greater than or equal to a second preset threshold. This module can be used to determine the target basic unit with the highest energy consumption from at least one basic unit of a base station. The energy consumption of the target basic unit is used as the base station energy consumption consumed by the target network object. The base station-side network performance index data corresponding to the target basic unit is determined as the base station-side network performance index data of the target network object. Based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit, the base station energy efficiency of the target network object is determined.

[0032] In another implementation, the base station-side network performance index data for each network object consists of multiple base station-side network performance index data. The determination module can be used to determine the base station energy efficiency of each network object based on the ratio between the sum of the multiple base station-side network performance index data for each network object and the base station energy consumption consumed by each network object.

[0033] Another implementation method is to ensure that the base station energy efficiency of each network object satisfies the following formula:

[0034] EE i_operator Perf represents the base station energy efficiency of the i-th network object in at least one network object. i,j EC represents the network performance metrics data of the j-th base station side for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0035] In another implementation, the base station-side network performance index data for each network object consists of multiple sets of base station-side network performance index data, with each set including at least one set of base station-side network performance index data. The determination module can be used to determine the base station energy efficiency of each network object based on the weighted sum of the combined value of each set of base station-side network performance index data for each network object and the weight of each set of base station-side network performance index data, and the ratio between this sum and the base station energy consumption of each network object.

[0036] In another implementation, the combined value of each set of base station-side network performance index data is determined based on the product of at least one base station-side network performance index data included in each set of base station-side network performance index data.

[0037] Another implementation method is to ensure that the base station energy efficiency of each network object satisfies the following formula:

[0038] EE i_operator PerfG represents the base station energy efficiency of the i-th network object in at least one network object. i,k w represents the combined value of the k-th group of base station-side network performance index data for the i-th network object. k EC represents the weight of the k-th group of base station-side network performance index data. i_operator This represents the base station energy consumption of the i-th network object.

[0039] In another implementation, at least one network object includes a target network object, which is any one of the at least one network objects; the access network side includes at least one target base station; the determining module can be used to determine the access network side performance index data of the target network object based on the base station side network performance index data corresponding to each target base station side of the at least one target base station; and to determine the access network side energy efficiency of the target network object based on the ratio between the access network side performance index data of the target network object and the energy consumption consumed by the target network object on the access network side; wherein the energy consumption consumed by the target network object on the access network side is determined based on the base station energy consumption consumed by the target network object on each target base station side of the at least one target base station.

[0040] In another implementation, the access network side performance index data of the target network object is determined by the sum of the base station side network performance index data corresponding to each target base station side of the target network object in at least one target base station.

[0041] Another implementation method is to satisfy the following formula for the access network side energy efficiency of the target network object:

[0042] EE 5GMOCN_i_operatorP represents the access network-side energy efficiency of the i-th network object in at least one network object. 5GMOCN_i_operator EC represents the access network-side performance metrics data for the i-th network object. 5GMOCN_i_operator This represents the energy consumption of the i-th network object on the access network side.

[0043] Another implementation approach is that the base station-side network performance index data for each network object is a single base station-side network performance index data; or, the base station-side network performance index data for each network object is a combination of multiple base station-side network performance index data.

[0044] In another implementation, the base station energy consumption of each network object is determined based on the energy consumption of at least one basic unit of the target base station.

[0045] Another implementation method is to determine the base station energy consumption of each network object based on the energy consumption of at least one basic unit of the target base station and the base station performance index data of each network object.

[0046] Another implementation method is to include at least one of the following network performance metrics data on the base station side: traffic, number of data packets, number of users, number of physical resource blocks occupied, latency, and reliability.

[0047] Another implementation method is that the network object includes at least one of the following: operator, network slice, quality of service granularity, network standard, service type, terminal type, and bandwidth portion.

[0048] Thirdly, this disclosure provides an electronic device comprising: a processor and a memory; the memory storing processor-executable instructions; when the processor is configured to execute the instructions, causing the electronic device to implement the method of the first aspect described above.

[0049] Fourthly, this disclosure provides a computer-readable storage medium comprising: computer software instructions; which, when executed in an electronic device, cause the electronic device to implement the method described in the first aspect.

[0050] Fifthly, this disclosure provides a computer program product comprising a computer program; when the computer program is run in an electronic device, it causes the electronic device to implement the method described in the first aspect.

[0051] In a sixth aspect, this disclosure provides a computer program including computer instructions that, when executed by a processor, implement the method described in the first aspect. Attached Figure Description

[0052] Figure 1 is a schematic diagram of the application environment of an energy efficiency determination method provided in this disclosure.

[0053] Figure 2 is a schematic diagram of a basic unit of a base station provided in this disclosure.

[0054] Figure 3 is a flowchart illustrating an energy efficiency determination method provided in this disclosure.

[0055] Figure 4 is a flowchart illustrating another energy efficiency determination method provided in this disclosure.

[0056] Figure 5 is a flowchart illustrating another energy efficiency determination method provided in this disclosure.

[0057] Figure 6 is a schematic diagram of the composition of an energy efficiency determination device provided in this disclosure.

[0058] Figure 7 is a schematic diagram of the structure of an electronic device provided in this disclosure. Detailed Implementation

[0059] The energy efficiency determination method provided in this disclosure will now be described in detail with reference to the accompanying drawings.

[0060] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0061] The terms “first” and “second” in this disclosure and its accompanying drawings are used to distinguish different objects or to distinguish different treatments of the same object, rather than to describe a particular order of objects.

[0062] Furthermore, the terms “comprising” and “having”, and any variations thereof, used in the description of this disclosure are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that comprises a series of steps or units is not limited to the steps or units listed, but in some embodiments includes other steps or units not listed, or in some embodiments includes other steps or units inherent to such processes, methods, products, or apparatuses.

[0063] It should be noted that in the embodiments disclosed herein, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments disclosed herein should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present related concepts by way of example.

[0064] To facilitate a clear description of the technical solutions of the embodiments of this disclosure, the terms "first" and "second" are used in the embodiments of this disclosure to distinguish the same or similar items with essentially the same function and effect. Those skilled in the art can understand that the terms "first" and "second" are not intended to limit the quantity or execution order.

[0065] In the description of this disclosure, unless otherwise stated, "multiple" means two or more. It is understood that, without conflict, the functions, steps, operations, etc. shown in this disclosure may occur in a different order than those shown in this disclosure, and there may be other functions, steps, operations, etc. between two adjacent functions, steps, operations, etc. shown in this disclosure.

[0066] To facilitate a clear description of the technical solutions of the embodiments of this disclosure, the following is a brief introduction to the energy efficiency provisions in 3GPP.

[0067] The 3GPP technical specification TS28.554 defines wireless data energy efficiency indicators based on data traffic and general network slicing energy efficiency indicators.

[0068] In fifth-generation mobile communication technology (5G) networks, 5G base stations (gNBs) are key components of the radio access network (RAN). Based on whether the control plane (CP) and user plane (UP) are separated, base stations can be classified as non-split gNBs and split gNBs.

[0069] In non-split gNBs, CP and UP functions are implemented in the same physical entity, and the effectiveness of the base station can be calculated based on the following formula.

[0070] EE MN,DVThe base station's energy efficiency (EE) is represented by MN, mobile network (MN), and data volume (DV). Samples represent different sampled data. DRB.PdcpSduVolumeUl represents the uplink volume of the service data unit (SDU) of the packet data convergence protocol (PDCP), i.e., the amount of data transmitted from the user equipment to the network. DRB.PdcpSduVolumeDl represents the downlink volume of the PDCP SUD, i.e., the amount of data transmitted from the network to the user equipment. PEE.Energy represents the base station's energy consumption.

[0071] In split gNBs, CP and UP functions are implemented in different physical entities, and the effectiveness of the base station can be calculated based on the following formula.

[0072] EE MN,DV This indicates the base station's energy efficiency; MN represents the mobile network; DV represents the data volume; Samples represents different sampled data; DRB.F1uPdcpSduVolumeUl and DRB.F1uPdcpSduVolumeDl represent the data volume transmitted from the user equipment to the network via the FI interface and the data volume transmitted from the network to the user equipment via the F1 interface, respectively; DRB.XNuPdcpSduVolumeUl and DRB.XNuPdcpSduVolumeDl represent the data volume transmitted from the user equipment to the network via the XN interface and the data volume transmitted from the network to the user equipment via the XN interface, respectively; DRB.X1uPdcpSduVolumeUl and DRB.X1uPdcpSduVolumeDl represent the data volume transmitted from the user equipment to the network via the X1 interface and the data volume transmitted from the network to the user equipment via the X1 interface, respectively; PEE.Energy represents the base station's energy consumption.

[0073] As can be seen from the above, base station energy efficiency refers to the amount of data transmission achieved by a base station within a certain time while consuming a certain amount of energy. Therefore, EE MN,DV The higher the value, the less energy is required while maintaining the same performance provided by the base station, indicating better energy efficiency of the base station.

[0074] The energy efficiency of a general network slice can be calculated based on the following formula.

[0075] EE KPI Indicates the energy efficiency of network slices; Pns This represents a performance metric for network slices, the definition of which varies depending on the type of network slice. (P) ns This can be any metric reflecting the quality of network slicing services, such as throughput, latency, and packet loss rate; EC ns This represents the energy consumption of a network slice, and its definition does not differ depending on the type of network slice. (EC) ns This can be obtained by measuring the actual power consumption of network devices.

[0076] As shown above, the energy efficiency of network slicing refers to the amount of data transmission achieved by the network within a certain time while consuming a certain amount of energy. Therefore, EE KPI The higher the value, the less energy is required while maintaining the same network performance, indicating better network energy efficiency.

[0077] The above is an introduction to the 3GPP provisions on energy efficiency involved in this disclosure, which will not be repeated below.

[0078] RAN-only sharing, also known as MOCN, is an important method of network sharing. In the MOCN architecture, multiple operators share a single radio access network, but each operator has its own independent core network. This network sharing method allows multiple operators to provide services on the same radio access network, thereby achieving resource sharing, cost reduction, and efficiency improvement.

[0079] The 3GPP standard specifies methods for calculating base station energy efficiency. Calculating base station energy efficiency helps operators accurately assess the current resource utilization of base stations, facilitating base station resource management, enabling them to plan appropriate energy-saving strategies, reduce operating costs, and improve network performance. However, in RAN-only sharing scenarios, it is not possible to calculate the base station energy efficiency for each operator individually, which hinders operators' energy efficiency statistics and base station resource management.

[0080] To address the aforementioned technical issues, this disclosure provides a method for determining energy efficiency. The core idea is to determine the base station energy efficiency of each network object based on its base station energy consumption and base station-side network performance metrics. This method allows for standardized measurement of base station energy efficiency across different scenarios. It not only helps each network object accurately assess base station resource utilization in access network sharing scenarios but also facilitates base station resource management and energy efficiency optimization, enabling the planning of appropriate energy-saving strategies to reduce operating costs and improve network performance.

[0081] The embodiments provided in this disclosure will now be described by way of example with reference to the accompanying drawings.

[0082] The energy efficiency determination method provided in this disclosure can be applied to the application environment shown in Figure 1. As shown in Figure 1, the application environment includes:

[0083] Wireless access network 110, core network 120 and network management system 130.

[0084] In some embodiments, the wireless access network 110 may be a network portion that introduces a part or all of the access network (AN) into the wireless transmission medium to provide fixed terminal services and / or mobile terminal services to users.

[0085] In some embodiments, the wireless access network 110 includes at least one base station 111. Each base station 111 in the wireless access network 110 is used to provide wireless network access services to at least one network object.

[0086] In some embodiments, as shown in FIG2, base station 111 includes the following basic units: baseband unit (BBU) 111-1, active antenna unit (AAU) 111-2, antenna system 111-3, remote radio unit (RRU) 111-4, and transmission device 111-5.

[0087] The BBU 111-1 is the basic unit responsible for the baseband section of signal processing, used for signal modulation, demodulation, encoding, and decoding.

[0088] The AAU 111-2 is a basic unit responsible for signal transmission, reception, amplification, and filtering. The AAU 111-2 can be integrated into the antenna and the RRU 111-4. The integration of the AAU 111-2 and the RRU 111-4 helps improve base station performance and simplify the base station structure.

[0089] Antenna system 111-3 is the basic unit responsible for transmitting and receiving signals. The components of the antenna system include the vibrator, the feed network, etc.

[0090] The RRU 111-4 is a basic unit responsible for radio frequency processing of signals, with functions such as up-conversion, down-conversion, filtering, and amplification.

[0091] Transmission equipment 111-5 is the basic unit responsible for optical transmission between base station 111 and core network 120. Transmission equipment 111-5 can be optical fiber, optical module, etc.

[0092] In some embodiments, the wireless access network 110 and the core network 120 communicate through different interfaces and protocols to jointly realize data transmission, user management and network control.

[0093] In some embodiments, the core network 120 is used to manage non-access stratum functions associated with the radio access network 110. For example, the core network 120 can create independent logical networks for different application scenarios, each with customized characteristics and performance metrics.

[0094] In some embodiments, the network management system 130 can be a standalone hardware device or a software-based virtual management platform. For example, the network management system 130 can be an operations maintenance center (OMC), a network management system (NMS), an element management system (EMS), an operations support system (OSS), a network functions virtualization (NFV) platform, a computer, a server, a processor, a processing chip, etc. This disclosure does not limit the device form of the network management system 130.

[0095] In some embodiments, the network management system 130 may be a standalone device, or it may be integrated into the base station 111 included in the wireless access network 110, or it may be integrated into the core network equipment included in the core network. Figure 1 illustrates an example where the network management system 130 is a standalone device.

[0096] In some embodiments, the network management system 130 can determine the base station energy consumption of a network object. For example, for a target base station in the radio access network 110 used to provide wireless network access services to at least one network object, the network management system 130 can obtain the base station energy consumption consumed by each of the at least one network object; based on the base station energy consumption consumed by each network object and the base station-side network performance index data corresponding to each network object at the target base station, it determines the base station energy efficiency and / or the access network-side energy efficiency of each network object.

[0097] In some embodiments, the network management system 130 may also be communicatively connected to the network management system in the wireless access network 110 to obtain base station-side network performance indicator data of network objects in at least one base station 111 in the wireless access network 110. For example, the base station-side network performance indicator data of the network objects may include at least one of the following: traffic, number of data packets, number of users, number of physical resource blocks occupied, latency, reliability, etc.

[0098] In some embodiments, the network management system 130 can also determine the base station energy consumption of a network object. For example, the network management system 130 can obtain the energy consumption of at least one basic unit of a base station 111 in the radio access network 110, and determine the base station energy consumption consumed by each of at least one network object based on the energy consumption of at least one basic unit of the base station 111.

[0099] In some embodiments, the network management system 130 may also be communicatively connected to the network management system in the wireless access network 110 to obtain base station performance indicator data of network objects in at least one base station 111 in the wireless access network 110. Exemplarily, the base station performance indicator data of the network objects may include at least one of the following: traffic, number of users, number of physical resource blocks occupied, CPU (central processing unit) utilization, GPU (graphics processing unit) utilization, wireless resource utilization, bandwidth, etc.

[0100] It should be noted that the system architecture described in the embodiments of this disclosure is for the purpose of more clearly illustrating the technical solutions of the embodiments of this disclosure, and does not constitute a limitation on the technical solutions provided in the embodiments of this disclosure. As those skilled in the art will know, with the evolution of system architecture, the technical solutions provided in the embodiments of this disclosure are also applicable to similar technical problems.

[0101] Referring to Figure 3, it is a schematic flowchart of an energy efficiency determination method provided by an embodiment of this disclosure. As shown in Figure 3, the energy efficiency determination method provided by this disclosure can be implemented through the above-mentioned network management system and may include the following steps S201 to S202.

[0102] S201. For a target base station in the access network used to provide wireless network access services for at least one network object, obtain the base station energy consumption consumed by each of the at least one network object.

[0103] In some embodiments, the base station energy consumption of each network object can be obtained periodically based on a statistical period. For example, the statistical period can be 1 hour.

[0104] In some embodiments, the base station energy consumption consumed by each network object can be determined by the network management system, which can directly obtain the base station energy consumption consumed by each network object in at least one network object.

[0105] S202. Based on the base station energy consumption consumed by each network object and the base station-side network performance index data corresponding to each network object on the target base station side, determine the base station energy efficiency and / or the access network-side energy efficiency of each network object.

[0106] In some embodiments, the base station energy efficiency of each network object can be determined based on the ratio between the base station-side network performance index data of each network object and the base station energy consumption of each network object.

[0107] For example, the base station energy efficiency of each network object can be determined based on the following formula (1).

[0108] EE i_operator P represents the base station energy efficiency of the i-th network object in at least one network object. i_operator EC represents the base station-side network performance metrics data for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0109] In some embodiments, the base station energy efficiency of each network object can be determined based on the base station-side network performance index data corresponding to the basic unit with the highest energy consumption in the base station and the energy consumption of at least one basic unit in the base station.

[0110] It is understandable that the energy consumption of a basic unit is affected by the corresponding network performance index data of the base station. The network performance index data of the base station corresponding to the basic unit with the highest energy consumption in the base station can affect the energy consumption of the basic unit with the highest energy consumption in the base station.

[0111] In one implementation, when the network load of the target base station is greater than or equal to a first preset threshold, the base station energy consumption consumed by each network object in at least one network object is determined based on the energy consumption of the target basic unit with the highest energy consumption among at least one basic unit of the target base station; the base station-side network performance index data of each network object in at least one network object is determined based on the base station-side network performance index data corresponding to the target basic unit. The above S202 can be implemented as: determining the base station energy efficiency of each network object based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit.

[0112] For example, the base station energy efficiency of each network object is the ratio of the network performance index data of the base station side corresponding to the target basic unit to the energy consumption of the target basic unit.

[0113] Another implementation involves obtaining the base station energy consumption of each network object in at least one network object, based on the base station energy consumption of each network object and the base station-side network performance index data of each network object, and determining the base station energy efficiency of each network object.

[0114] For example, the above S202 can be implemented as A1-A3 below.

[0115] A1. Identify the target basic unit with the highest energy consumption from at least one basic unit of the base station, and use the energy consumption of the target basic unit as the base station energy consumption consumed by the target network object.

[0116] A2. The base station-side network performance index data corresponding to the target basic unit is determined as the base station-side network performance index data of the target network object.

[0117] It is understandable that the energy consumption of a basic unit is affected by the corresponding network performance index data of the base station. The network performance index data of the base station corresponding to the basic unit with the highest energy consumption in the base station can affect the energy consumption of the basic unit with the highest energy consumption in the base station.

[0118] A3. Based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit, determine the base station energy efficiency of the target network object.

[0119] In some embodiments, the base station energy efficiency of the target network object is the ratio of the base station-side network performance index data corresponding to the target basic unit to the energy consumption of the target basic unit.

[0120] In some embodiments, the base station-side network performance index data of each network object is multiple base station-side network performance index data. The above S202 can be implemented as follows: determine the base station energy efficiency of each network object based on the ratio between the sum of the multiple base station-side network performance index data of each network object and the base station energy consumption consumed by each network object.

[0121] For example, the base station energy efficiency of each network object can be determined based on the following formula (2).

[0122] EE i_operator Perf represents the base station energy efficiency of the i-th network object in at least one network object. i,j EC represents the network performance metrics data of the j-th base station side for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0123] In some embodiments, the base station-side network performance index data of each network object is multiple sets of base station-side network performance index data, and each set of base station-side network performance index data includes at least one set of base station-side network performance index data. The above S202 can be implemented as follows: the base station energy efficiency of each network object is determined based on the ratio between the combined value of each set of base station-side network performance index data of each network object and the weighted sum of the weights of each set of base station-side network performance index data, and the base station energy consumption consumed by each network object.

[0124] For example, the combined value of each set of base station-side network performance index data is determined based on the product of at least one base station-side network performance index data included in each set of base station-side network performance index data.

[0125] For example, the base station energy efficiency of each network object can be determined based on the following formula (3).

[0126] EE i_operator PerfG represents the base station energy efficiency of the i-th network object in at least one network object. i,k w represents the combined value of the k-th group of base station-side network performance index data for the i-th network object. k EC represents the weight of the k-th group of base station-side network performance index data. i_operator This represents the base station energy consumption of the i-th network object.

[0127] In some embodiments, the network performance metrics data on the base station side include at least one of the following: traffic, number of data packets, number of users, number of physical resource blocks occupied, latency, and reliability.

[0128] The number of users refers to the average number of users connected to the base station's RRC; reliability refers to the ratio of the number of data packets reliably transmitted over a period of time to the total number of data packets; latency includes the downlink latency from the base station to the user equipment and the uplink latency from the user equipment to the base station. Considering the difference between latency and other base station-side network performance indicators, lower latency indicates better base station transmission performance. Therefore, when determining base station energy efficiency, the reciprocal of latency can be used as a base station-side network performance indicator to measure base station energy efficiency.

[0129] It should be noted that the main factors affecting base station energy efficiency include base station-side network performance metrics and base station energy consumption. There are many types of base station-side network performance metrics, each used to evaluate different aspects of network performance. When evaluating base station energy efficiency, appropriate base station-side network performance metrics can be selected based on the service characteristics of the network to which the base station operates.

[0130] For example, in the enhanced mobile broadband (EMBB) scenario, it is necessary to focus on the network's high-bandwidth and high-speed mobile data transmission capabilities. Traffic can be selected as a base station-side network performance indicator to measure base station energy efficiency.

[0131] In ultra-reliable low latency communications (URLLC) scenarios, it is necessary to focus on the network's ability to transmit mobile data with low latency and high reliability. Latency, reliability, or reliable transmission traffic can be selected as the base station-side network performance indicators to measure the energy efficiency of the base station.

[0132] In massive machine-type communication (mMTC) scenarios, base stations are generally used in IoT applications such as smart cities and smart homes. It is necessary to focus on the ability to support a large number of low-power, low-cost device connections. The number of users can be selected as the base station-side network performance indicator to measure the energy efficiency of the base station.

[0133] In some embodiments, network performance metrics data on the operator's base station side are reported by the device to the network management system.

[0134] In some embodiments, the base station-side network performance index data for each network object is a single base station-side network performance index data; or, the base station-side network performance index data for each network object is a combination of multiple base station-side network performance index data.

[0135] If the base station-side network performance index data for each network object is a combination of multiple base station-side network performance index data, the network performance index for each network object can be the sum of multiple base station-side network performance index data or the multiplication of multiple network performance index data. This disclosure does not limit the combination method of multiple base station-side network performance index data.

[0136] For example, the base station-side network performance metrics data for each network object can be the result of multiplying traffic and reliability, i.e., reliable transmission traffic.

[0137] The network performance metrics data on the base station side for each network object can also be the reciprocal of the sum of uplink latency and downlink latency.

[0138] In some embodiments, at least one network object includes a target network object, which is any one of the at least one network objects. The access network side includes at least one target base station. The above S202 can be implemented as B1-B2 below.

[0139] B1. Based on the base station-side network performance index data corresponding to the target network object at each of the at least one target base station, determine the access network-side performance index data of the target network object.

[0140] In some embodiments, the access network-side performance metrics data of the target network object are determined by the sum of the base station-side network performance metrics data corresponding to each target base station in at least one target base station. For example, when the base station-side network performance metrics data corresponding to each target base station is traffic, packet count, or user count, the access network-side performance metrics data of the target network object are the sum of the base station-side network performance metrics data corresponding to each target base station in at least one target base station.

[0141] In some embodiments, the access network-side performance index data of the target network object is determined by the average value of the base station-side network performance index data corresponding to each target base station in at least one target base station. For example, when the base station-side network performance index data corresponding to each target base station is latency or reliability, the access network-side performance index data of the target network object is the average value of the base station-side network performance index data corresponding to each target base station in at least one target base station.

[0142] B2. Determine the access network-side energy efficiency of the target network object based on the ratio between the access network-side performance index data of the target network object and the energy consumption of the target network object on the access network side.

[0143] The energy consumption of the target network object on the access network side is determined based on the base station energy consumption of the target network object on each target base station side in at least one target base station.

[0144] For example, the access network side energy efficiency of the target network object can be determined based on the following formula (4).

[0145] EE 5GMOCN_i_operator P represents the access network-side energy efficiency of the i-th network object in at least one network object. 5GMOCN_i_pperatpr EC represents the access network-side performance metrics data for the i-th network object. 5GMOCN_i_operator This represents the energy consumption of the i-th network object on the access network side.

[0146] In some embodiments, a network object includes at least one of the following: operator, network slice, quality of service granularity, network standard, service type, terminal type, and bandwidth part (BWP).

[0147] For example, when the network object is an operator, multiple operators can access the same base station. The energy efficiency determination method provided in this disclosure can determine the base station energy efficiency of different operators under the same base station.

[0148] When the network object is a network standard, for example, the same base station supports both 5G and 4G standards, the energy efficiency determination method provided in this disclosure can determine the base station energy efficiency of different network standards under the same base station.

[0149] When the network object is a terminal type, for example, terminals accessing the same base station include reduced capability (RedCap) terminals and non-reduced capability (Non-RedCap) terminals, the energy efficiency determination method provided in this disclosure can determine the base station energy efficiency of different types of terminals under the same base station.

[0150] When the network object is a bandwidth portion, the bandwidth resources of a base station can be divided into multiple bandwidth portions. The energy efficiency determination method provided in this disclosure can determine the base station energy efficiency of different bandwidth portions under the same base station.

[0151] In some embodiments, the energy efficiency determination method provided in this disclosure further includes determining the base station energy consumption consumed by each network object in at least one network object. For example, as shown in FIG4, determining the base station energy consumption consumed by each network object can be implemented as follows: S301-S302.

[0152] S301. Obtain the energy consumption of at least one basic unit of the base station.

[0153] In some embodiments, the basic unit of a base station includes at least one of the following: BBU, AAU, RRU, antenna system, and transmission equipment.

[0154] In some embodiments, energy consumption monitoring devices can be installed on the basic units of the base station to obtain the energy consumption of the basic units and then send the energy consumption data to a computing device. For example, an energy meter or current sensor can be installed on the power line of the basic unit of the base station to obtain the energy consumption of the basic unit.

[0155] S302. Based at least on the energy consumption of at least one basic unit of the base station, determine the base station energy consumption consumed by each network object in at least one network object.

[0156] In some embodiments, the base station energy consumption of each network object in at least one network object can be determined based on the energy consumption of at least one basic unit of the base station.

[0157] In one implementation, the base station energy consumption of each network object is the sum of the energy consumption of at least one basic unit of the base station.

[0158] For example, when at least one network object uses the wireless network access service provided by the base station, the base station energy consumption consumed by the i-th network object can be calculated using the following formula (5). i_operator =∑ element EC element Formula (5)

[0159] EC i_operator This represents the base station energy consumption of the i-th network object, where element represents the basic unit of the base station, and EC represents the base station energy consumption. element This indicates the energy consumption of the basic unit of a base station.

[0160] In another implementation, the base station energy consumption of each network object is the average energy consumption of at least one basic unit of the base station.

[0161] For example, when N network objects use the wireless network access service provided by the base station, the base station energy consumption consumed by the i-th network object can be calculated using the following formula (6).

[0162] EC i_operator This represents the base station energy consumption of the i-th network object, where element represents the basic unit of the base station, and EC represents the base station energy consumption. element N represents the energy consumption of the basic unit of the base station, and N represents the number of network objects using the wireless network access service provided by the base station.

[0163] Another implementation method is to determine the base station energy consumption of each network object based on the sum of the energy consumption of some basic units in at least one basic unit of the base station and the average energy consumption of another part of the basic units in at least one basic unit of the base station.

[0164] For example, when multiple network objects use the wireless network access service provided by the base station, the base station energy consumption consumed by the i-th network object can be calculated using the following formula (7).

[0165] EC i_operator Let represent the base station energy consumption of the i-th network object in at least one network object, and let element_1 represent a portion of the basic units in at least one basic unit of the base station. EC element_1 Element_1 represents the energy consumption of a portion of the basic units in at least one basic unit of a base station, and element_2 represents another portion of the basic units in at least one basic unit of a base station. EC element_2 N represents the energy consumption of another part of the basic units in at least one basic unit of the base station, where N represents the number of the other part of the basic units in at least one basic unit of the base station.

[0166] It is understandable that when a base station has at least 'a' basic units and 'b' some basic units in the base station, the other part of the base station has 'ab' basic units. That is, at least one basic unit of the base station is composed of some basic units and another part of basic units.

[0167] In some embodiments, the base station energy consumption of each network object is determined based on the energy consumption of at least one basic unit of the base station and the base station performance index data of each network object in at least one network object.

[0168] For example, the base station energy consumption consumed by each network object is determined based on the sum of the energy consumption of at least one basic unit of the base station and the base station performance index ratio of each network object, which is used to indicate the proportion of the base station performance index data of each network object in the sum of the base station performance index data of at least one network object.

[0169] For example, when at least one network object uses the wireless network access service provided by the base station, the sum of the base station performance index data of the network objects using the wireless network access service provided by the base station is Factor. sum The base station performance metrics data for the i-th network object are Factor i The base station energy consumption of the i-th network object can be calculated using the following formula (8).

[0170] EC i_operator This represents the base station energy consumption of the i-th network object, where element represents the basic unit of the base station, and Factor... i / Factor sum EC represents the proportion of base station performance metrics for the i-th network object. element This indicates the energy consumption of the basic unit of a base station.

[0171] In some embodiments, base station performance metrics data include at least one of the following: traffic, number of users, physical resource block occupancy, CPU utilization, GPU utilization, radio resource utilization, and bandwidth. The number of users included in the base station performance metrics data may be the average number of users connected to the base station RRC by a network object.

[0172] In some embodiments, at least one basic unit of a base station includes a first basic unit and a second basic unit; the energy consumption of the first basic unit is not affected by the base station performance index data of the network object, while the energy consumption of the second basic unit is affected by the base station performance index data of the network object; the base station energy consumption consumed by each network object is determined based on the energy consumption of the first basic unit and the dynamic energy consumption affected by the base station performance index data; wherein, the dynamic energy consumption is determined based on the energy consumption of the second basic unit and the base station performance index data of each network object.

[0173] It should be noted that the energy consumption of different basic units of a base station is affected by different base station performance indicators. Based on current network statistics, the energy consumption of the BBU is mainly affected by the number of baseband boards. When the number of baseband boards is fixed, the energy consumption of the BBU can remain basically stable regardless of the number of users accessing the base station and the amount of traffic. The energy consumption of the AAU is greatly affected by factors such as traffic and the number of users. The more traffic, the higher the energy consumption of the AUU.

[0174] Therefore, by dividing the basic unit of a base station into a first basic unit and a second basic unit based on whether the energy consumption of the basic unit is affected by the base station performance index data of the network object, the base station basic unit can be calculated more accurately to determine the base station energy consumption consumed by each network object.

[0175] For example, when the base station performance index data for each network object is a single performance index data, the dynamic energy consumption is determined based on the sum of the energy consumption of each second basic unit and the base station performance index ratio of each network object, wherein the base station performance index ratio of each network object is used to indicate the proportion of the base station performance index data of each network object in the sum of the base station performance index data of at least one network object.

[0176] In one implementation, the energy consumption of the first basic unit is the sum of the energy consumption of all the first basic units. When at least one network object uses the wireless network access service provided by the base station, the sum of the base station performance index data of the network objects using the wireless network access service provided by the base station is Factor. sum The base station performance metrics data for the i-th network object are Factor i The base station energy consumption consumed by the i-th network object can be calculated using the following formula (9).

[0177] EC i_operator This represents the base station energy consumption consumed by the i-th network object, where static_element represents the first basic unit, and ∑static_elementEC static_element For the energy consumption of the first basic unit, Factor i / Factor sum The base station representing the i-th network object

[0178] Performance metrics ratio, dynamic_element represents the second basic unit, EC dynamic_element For the energy consumption of the second basic unit, Factor i / Factor sum ×∑dynamic_elementEC dynamic_element Let be the dynamic energy consumption of the i-th network object.

[0179] In another implementation, the energy consumption of the first basic unit is the average energy consumption of the first basic unit. When N network objects use the wireless network access service provided by the base station, the sum of the base station performance index data of the N network objects is Factor. sum The base station performance metrics data for the i-th network object are Factor i The base station energy consumption of the i-th network object can be calculated using the following formula (10).

[0180] EC i_operator This represents the base station energy consumption of the i-th network object, and `static_element` represents the first basic unit. The energy consumption of the first basic unit. The base station performance index ratio for the i-th network object, dynamic_element represents the second basic unit, EC dynamic_element The energy consumption of the second basic unit. Let be the dynamic energy consumption of the i-th network object.

[0181] In another implementation, where the energy consumption of the first basic unit is the sum of the energy consumption of some basic units within the first basic unit and the average energy consumption of another portion of the basic units within the first basic unit, the sum of the base station performance index data of the network object is Factor. sum The base station performance metrics data for the i-th network object are Factor i The base station energy consumption consumed by the i-th network object can be calculated using the following formula (11).

[0182] EC i_operator This represents the base station energy consumption of the i-th network object in at least one network object, where static_element_1 represents a portion of the basic units in the first basic unit, EC static_element_1 This represents the energy consumption of a portion of the basic units within the first basic unit, and `static_element_2` represents another portion of the basic units within the first basic unit. EC static_element_2Factor represents the energy consumption of another subset of basic units within the first basic unit, where N represents the number of these other basic units. i Factor represents the base station performance metrics data of the i-th network object in at least one network object. sum The sum of base station performance metrics data for at least one network object is represented by `dynamic_element`, which represents the second basic unit. EC dynamic_element This indicates the energy consumption of the second basic unit.

[0183] It is understandable that if there are 'a' basic units in the first basic unit of a base station, and 'b' basic units in a portion of the first basic unit of a base station, then there are 'ab' basic units in another portion of the first basic unit of a base station. That is, the first basic unit of a base station is composed of a portion of basic units and another portion of basic units.

[0184] When the base station performance index data for each network object consists of multiple performance index data, the dynamic energy consumption is determined based on the energy consumption affected by each performance index data in the base station performance index data of each network object. The base station performance index data includes target performance index data, and the energy consumption affected by the target performance index data is determined based on the sum of the energy consumption of the second basic unit affected by the target performance index data and the index ratio of the target performance index data. The index ratio of the target performance index data is used to indicate the proportion of the target performance index data of each network object in the sum of the target performance index data of at least one network object.

[0185] In one implementation, the energy consumption of the first basic unit is the sum of the energy consumption of all the first basic units. When at least one network object uses the wireless network access service provided by the base station, the sum of the performance index data of the j-th base station of the network object using the wireless network access service provided by the base station is Factor. sum,j The performance metric data of the j-th base station for the i-th network object is Factor. i,j The base station energy consumption of the i-th network object can be calculated using the following formula (12).

[0186] EC i_operator This represents the base station energy consumption consumed by the i-th network object, where static_element represents the first basic unit, and ∑static_elementEC static_element The energy consumption of the first basic unit. The ratio of the performance metrics of the j-th base station for the i-th network object, dynamic_element j The second basic unit represents the influence of j performance index data from the base station performance index data of each network object on energy consumption. The sum of the energy consumption of the second basic unit affected by j performance index data in the base station performance index data of each network object. Let be the dynamic energy consumption of the i-th network object.

[0187] In another implementation, the energy consumption of the first basic unit is the average energy consumption of the first basic unit. When N network objects use the wireless network access service provided by the base station, the sum of the performance index data of the j-th base station of the N network objects is Factor. sum,j The performance metric data of the j-th base station for the i-th network object is Factor. i,j The base station energy consumption of the i-th network object can be calculated using the following formula (13).

[0188] EC i_operator This represents the base station energy consumption of the i-th network object, and `static_element` represents the first basic unit. The energy consumption of the first basic unit. The ratio of the performance metrics of the j-th base station for the i-th network object, dynamic_element j The second basic unit represents the influence of j performance index data from the base station performance index data of each network object on energy consumption. The sum of the energy consumption of the second basic unit affected by j performance index data in the base station performance index data of each network object. Let be the dynamic energy consumption of the i-th network object.

[0189] Another implementation, where the energy consumption of the first basic unit is the sum of the energy consumption of some basic units within the first basic unit and the average energy consumption of another portion of the basic units within the first basic unit, then when N network objects use the wireless network access service provided by the base station, the sum of the performance index data of the j-th base station for the N network objects is Factor. sum,j The performance metric data of the j-th base station for the i-th network object is Factor. i,j The base station energy consumption consumed by the i-th network object can be calculated using the following formula (14).

[0190] EC i_operator This represents the base station energy consumption of the i-th network object in at least one network object, where static_element_1 represents a portion of the basic units in the first basic unit, EC static_element_1 This represents the energy consumption of a portion of the basic units within the first basic unit, and `static_element_2` represents another portion of the basic units within the first basic unit. ECstatic_element_2 Factor represents the energy consumption of another subset of basic units within the first basic unit, where N represents the number of these other basic units. i,j Factor represents the performance metric data of the j-th base station of the i-th network object in at least one network object. sum,j This represents the sum of the performance metrics data of the j-th base station of at least one network object. This represents the basic unit in the second basic unit whose energy consumption is affected by the performance index data of the j-th base station. This represents the energy consumption of the basic unit in the second basic unit, which is affected by the performance index data of the j-th base station.

[0191] In some embodiments, the energy efficiency determination method provided in this disclosure can be applied to any of the following scenarios: access network sharing scenario and indirect network sharing scenario; the indirect network sharing scenario includes access network sharing and core network sharing.

[0192] For example, when the network object is an operator, in an access network sharing scenario, multiple operators can access the same radio access network; in an indirect network sharing scenario, multiple operators can access the same radio access network and the same core network.

[0193] In some embodiments, the energy consumption calculation method provided in this disclosure can also calculate the energy efficiency of a Local Area Network (LAN). For example, the local area network energy consumption consumed by each network object in at least one network object connected to the target LAN is obtained, and the local area network energy efficiency of each network object is determined based on the local area network energy consumption consumed by each network object and the base station-side network performance index data of each network object.

[0194] The energy efficiency determination method of this disclosure is described below with reference to an exemplary embodiment. In this embodiment, the basic unit of the base station includes three parts: BBA, RRU, and transmission equipment. The statistical period is 1 hour, and the network objects include two operators, namely operator A and operator B. As shown in Figure 5, the exemplary implementation of this embodiment is as follows: S401-S403.

[0195] S401. The energy consumption of the base station basic unit during the statistical period.

[0196] The energy consumption of the BBU during the statistical period was 10 kWh, the energy consumption of the RRU during the statistical period was 20 kWh, and the energy consumption of the transmission equipment during the statistical period was 6 kWh.

[0197] It should be noted that the unit of energy consumption can be either kWh or joules (J). The unit of energy consumption can be converted from kWh to J based on the conversion relationship of 1 kWh = 3,600,000 J. This disclosure does not limit the unit of energy consumption.

[0198] S402. Determine the base station energy consumption for each operator.

[0199] In some embodiments, the base station energy consumption of operator A and operator B can be determined based on the energy consumption of the basic unit of the base station.

[0200] In one implementation, the base station energy consumption of each network object is the sum of the energy consumption of at least one basic unit of the base station. The energy consumption of operator A and the base station energy consumption of operator B can be calculated separately based on formula (5).

[0201] Operator A's base station energy consumption EC 1_operator =10+20+6=36kWh, the energy consumption EC of operator B's base station 2_operator =10+20+6=36kwh.

[0202] In another implementation, the base station energy consumption of each network object is the average energy consumption of at least one basic unit of the base station. The base station energy consumption of operator A and operator B can be calculated based on formula (6).

[0203] Operator A's base station energy consumption EC 1_operator = (10+20+6)÷2=18kWh, the energy consumption of operator B's base station EC 2_operator = (10+20+6)÷2 = 18kwh.

[0204] In some embodiments, the base station energy consumption of operator A and the base station energy consumption of operator B can be determined based on the energy consumption of the basic unit of the base station, the base station performance index data of operator A, and the base station performance index data of operator B, respectively.

[0205] For example, the base station energy consumption of each operator is determined based on the sum of the energy consumption of the basic units of the base station and the base station performance index ratio of each operator. The base station performance index ratio of each operator is used to indicate the proportion of each operator's base station performance index data in the sum of the base station performance index data of operator A and operator B. The base station energy consumption of operator A and operator B can be calculated respectively based on formula (8).

[0206] For example, if the base station performance metric for operators is data traffic, and operator A's data traffic is 1 megabyte (GB) while operator B's data traffic is 3GB, then operator A's base station energy consumption EC... 1_operator=1÷(1+3)×(10+20+6)=9kWh, the energy consumption EC of operator B's base station 2_operator =3÷(1+3)×(10+20+6)=27kwh.

[0207] When the base station performance metrics of operators are user numbers, and operator A has 10 users while operator B has 40 users, the base station energy consumption EC of operator A is... 1_operator =10÷(10+40)×(10+20+6)=7.2kWh, the energy consumption EC of operator B's base station 2_operator =40÷(10+40)×(10+20+6)=28.8kwh.

[0208] When the base station performance metrics of operators are the number of physical resource blocks occupied, and operator A's physical resource block occupancy is 100 while operator B's is 200, the base station energy consumption EC of operator A is... 1_operator =100÷(100+200)×(10+20+6)=12kWh, the energy consumption EC of operator B's base station 2_operator =100÷(100+200)×(10+20+6)=24kwh.

[0209] In some embodiments, at least one basic unit of a base station includes a first basic unit and a second basic unit; the energy consumption of the first basic unit is not affected by the operator's base station performance index data, while the energy consumption of the second basic unit is affected by the operator's base station performance index data; the base station energy consumption consumed by each operator is determined based on the energy consumption of the first basic unit and the dynamic energy consumption affected by the base station performance index data; wherein, the dynamic energy consumption is determined based on the energy consumption of the second basic unit and the base station performance index data of each operator.

[0210] For example, when the base station performance index data of each operator is a single performance index data, the dynamic energy consumption is determined based on the sum of the energy consumption of each second basic unit and the base station performance index ratio of each operator, which is used to indicate the proportion of each operator's base station performance index data in the sum of the base station performance index data of at least one operator.

[0211] In one implementation, the energy consumption of the first basic unit is the sum of the energy consumption of the first basic unit, and the base station energy consumption of operator A and operator B can be calculated based on formula (9).

[0212] If the BBU is the first basic unit, and the RRU and transmission equipment are the second basic units, and the base station performance metrics of operators are based on data traffic, and operator A's traffic is 1GB while operator B's traffic is 3GB, then operator A's base station energy consumption EC...1_operator =10 + (1 ÷ (1 + 3) × (20 + 6)) = 16.5 kWh, the energy consumption of operator B's base station is EC 2_operator =10+(3÷(1+3)×(20+6))=29.5kwh.

[0213] When the base station performance metrics of operators are user numbers, and operator A has 10 users while operator B has 40 users, the base station energy consumption EC of operator A is... 1_operator =10 + (10 ÷ (10 + 40) × (20 + 6)) = 15.2 kWh, the energy consumption EC of operator B's base station 2_operator =10+(40÷(10+40)×(20+6))=30.8kwh.

[0214] When the base station performance metrics of operators are the number of physical resource blocks occupied, and operator A's physical resource block occupancy is 100 while operator B's is 200, the base station energy consumption EC of operator A is... 1_operator =10 + (100 ÷ (100 + 200) × (20 + 6)) = 18.67 kWh, the energy consumption EC of operator B's base station 2_operator =10+(100÷(100+200)×(20+6))=27.33kwh.

[0215] In another implementation, the energy consumption of the first basic unit is the average energy consumption of the first basic unit, which can be calculated based on formula (10) to calculate the base station energy consumption of operator A and the base station energy consumption of operator B respectively.

[0216] If the BBU is the first basic unit, and the RRU and transmission equipment are the second basic units, and the base station performance metrics of operators are based on data traffic, and operator A's traffic is 1GB while operator B's traffic is 3GB, then operator A's base station energy consumption EC... 1_operator = (10÷2)+(1÷(1+3)×(20+6))=11.5kWh, the energy consumption EC of operator B's base station 2_operator =(10÷2)+(3÷(1+3)×(20+6))=24.5kwh.

[0217] When the base station performance metrics of operators are user numbers, and operator A has 10 users while operator B has 40 users, the base station energy consumption EC of operator A is... 1_operator = (10÷2)+(10÷(10+40)×(20+6))=10.2kWh, the energy consumption EC of operator B's base station 2_operator =(10÷2)+(40÷(10+40)×(20+6))=25.8kwh.

[0218] When the base station performance metrics of operators are the number of physical resource blocks occupied, and operator A's physical resource block occupancy is 100 while operator B's is 200, the base station energy consumption EC of operator A is... 1_operator = (10÷2)+(100÷(100+200)×(20+6))=13.67kWh, the energy consumption EC of operator B's base station 2_operator =(10÷2)+(100÷(100+200)×(20+6))=22.33kwh.

[0219] When each operator's base station performance index data consists of multiple performance index data, dynamic energy consumption is determined based on the energy consumption affected by each performance index data in each operator's base station performance index data. The base station performance index data includes target performance index data, and the energy consumption affected by the target performance index data is determined based on the sum of the energy consumption of the second basic unit affected by the target performance index data and the index ratio of the target performance index data. The index ratio of the target performance index data is used to indicate the proportion of each operator's target performance index data in the sum of the target performance index data of at least one operator.

[0220] If the BBU is the first basic unit, and the RRU and transmission equipment are the second basic units, the power consumption of the RRU is affected by the operator's traffic, and the power consumption of the transmission equipment is affected by the number of users of the operator. Operator A's traffic is 1GB, operator B's traffic is 3GB, operator A has 10 users, and operator B has 40 users.

[0221] In one implementation, the energy consumption of the first basic unit is the sum of the energy consumption of the first basic unit. The energy consumption of operator A's base station and operator B's base station can be calculated separately based on formula (12). The energy consumption of operator A's base station is EC. 1_operator =10 + ((1÷(1+3)×20) + (10÷(10+40)×6)) = 16.2 kWh, the energy consumption EC of operator B's base station 2_operator =10+((3÷(1+3)×20)+(40÷(10+40)×6))=29.8kwh.

[0222] In another implementation, the energy consumption of the first basic unit is the average energy consumption of the first basic unit, which can be calculated based on formula (13) for the base station energy consumption of operator A and operator B respectively. The base station energy consumption EC of operator A 1_operator = (10÷2)+((1÷(1+3)×20)+(10÷(10+40)×6))=11.2kWh, the energy consumption EC of operator B's base station 2_operator=(10÷2)+((1÷(1+3)×20)+(10÷(10+40)×6))=24.8kwh.

[0223] S403. Based on the base station energy consumption of each operator and the base station-side network performance index data of each operator, determine the base station energy efficiency of each operator.

[0224] In some embodiments, the base station energy efficiency of each operator can be determined based on the ratio between the base station-side network performance index data of each operator and the base station energy consumption of each operator.

[0225] For example, the base station energy efficiency of operator A and the base station energy efficiency of operator B can be determined based on formula (1).

[0226] For example, if the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (5), and the network performance index data of the operator's base station is the number of users. When operator A has 10 users and operator B has 40 users, the base station energy efficiency EE of operator A is... 1_operator =10÷36=0.278 users / kWh, the energy efficiency EE of operator B's base stations 2_operator =40÷36=1.11 users / kwh.

[0227] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (6), and the network performance index data of the operator's base station is traffic, then when the traffic of operator A is 1GB and the traffic of operator B is 3GB, the base station energy efficiency EE of operator A is... 1_operator =1÷18=0.056GB / kWh, the base station energy efficiency EE of operator B 2_operator =3 ÷ 18 = 0.167 GB / kWh.

[0228] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (8), and the base station performance index data of the operators is traffic, and the network performance index data of the base station side of the operators is traffic. When the traffic of operator A is 1GB and the traffic of operator B is 3GB, the base station energy efficiency EE of operator A is... 1_operator =1÷9=0.11GB / kWh, the energy efficiency EE of operator B's base station 2_operator =3 ÷ 27 = 0.11 GB / kWh.

[0229] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (8), and the base station performance index data of the operators is the number of users, and the network performance index data of the operators' base stations is traffic, then when operator A has 10 users and 1GB of traffic, and operator B has 40 users and 3GB of traffic, the base station energy efficiency EE of operator A is...1_operator =1 ÷ 7.2 = 0.139 GB / kWh, the base station energy efficiency EE of operator B. 2_operator =3 ÷ 28.8 = 0.104 GB / kWh.

[0230] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (9), and if the BBU is the first basic unit and the RRU and transmission equipment are the second basic units, the base station performance index data of the operator is the number of physical resource blocks occupied, and the network performance index data of the operator's base station is the number of data packets. When the number of physical resource blocks occupied by operator A is 100 and the number of data packets is 50, and the number of physical resource blocks occupied by operator B is 200 and the number of data packets is 100, the base station energy efficiency EE of operator A is... 1_operator =50 ÷ 18.67 = 2.68 packets / kWh, the base station energy efficiency EE of operator B. 2_operator =100÷27.33=3.66 pack / kwh.

[0231] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (10), and if the BBU is the first basic unit, and the RRU and transmission equipment are the second basic units, the base station performance index data of the operator is traffic, and the network performance index data of the operator's base station side is the number of physical resource blocks occupied. When the traffic of operator A is 1GB and the number of physical resource blocks occupied is 100, and the traffic of operator B is 3GB and the number of physical resource blocks occupied is 200, the base station energy efficiency EE of operator A is... 1_operator =100÷11.5=8.69PRB / kWh, the base station energy efficiency EE of operator B. 2_operator =200÷24.5=8.16PRB / kwh.

[0232] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (12), and if the BBU is the first basic unit, and the RRU and transmission equipment are the second basic units, the base station performance index data of the operator is traffic and number of users, the energy consumption of the RRU is affected by the operator's traffic, the energy consumption of the transmission equipment is affected by the operator's number of users, and the network performance index data of the operator's base station is traffic. When the number of users of operator A is 10 and the traffic is 1GB, and the number of users of operator B is 40 and the traffic is 3GB, the base station energy efficiency EE of operator A is... 1_operator =1 ÷ 11.2 = 0.089 GB / kWh, the base station energy efficiency EE of operator B. 2_operator =3 ÷ 24.8 = 0.12 GB / kWh.

[0233] If the energy consumption of operator A and the base station energy consumption of operator B are determined based on formula (13), and if BBU is the first basic unit, RRU and transmission equipment are the second basic units, the base station performance index data of the operator are traffic and number of users, the energy consumption of RRU is affected by the traffic of the operator, and the energy consumption of transmission equipment is affected by the number of users of the operator, the number of users of operator A is 10 and the traffic is 1GB, and the number of users of operator B is 40 and the traffic is 3GB.

[0234] When the network performance metrics for operator base stations are a combination of reliability and traffic, and operator A's reliability is 99.9% and operator B's reliability is 99%, what is operator A's base station energy efficiency (EE)? 1_operator =99.9% × 1 ÷ 11.2 = 0.089 GB / kWh, the base station energy efficiency EE of operator B. 2_operator =99%×3÷24.8=0.119GB / kwh.

[0235] When the network performance metrics for operator base stations are the reciprocal of latency, and operator A's latency is 15 milliseconds while operator B's latency is 10 milliseconds, what is operator A's base station energy efficiency (EE)? 1_operator = (1÷15)÷11.2=0.006 / (ms*kwh), the base station energy efficiency EE of operator B. 2_operator =(1÷10)÷24.8=0.004 / (ms*kwh).

[0236] The technical solutions provided in the above embodiments bring at least the following beneficial effects: The energy efficiency determination method provided in this disclosure can determine the base station energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object. It can standardize the measurement of the base station energy efficiency of each network object in different scenarios, which not only helps each network object accurately evaluate the resource utilization effect of the base station in access network sharing scenarios, but also helps the network object to perform base station resource management and energy efficiency optimization, so as to plan appropriate energy-saving strategies, reduce operating costs, and improve network performance.

[0237] As can be seen, the above mainly describes the solutions provided by the embodiments of this disclosure from a methodological perspective. To achieve the above functions, the embodiments of this disclosure provide corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the modules and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this disclosure can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0238] This disclosure embodiment can divide the energy consumption determination device into functional modules according to the above method example. For example, each function can be divided into its own functional modules, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. In some embodiments, the module division in this disclosure embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0239] In some embodiments, this disclosure also provides an energy consumption determination apparatus. The energy consumption determination apparatus may include one or more functional modules for implementing the energy efficiency determination method of the above method embodiments.

[0240] For example, Figure 6 is a schematic diagram of the composition of an energy efficiency determination device provided in an embodiment of this disclosure. As shown in Figure 6, the energy efficiency determination device 800 includes: an acquisition module 801 and a determination module 802.

[0241] The acquisition module 801 is used to acquire the base station energy consumption of each network object in the at least one network object for the target base station in the access network that provides wireless network access services for at least one network object; the determination module 802 is used to determine the base station energy efficiency and / or the access network energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data corresponding to each network object on the target base station side.

[0242] In some embodiments, the determining module 802 can be used to determine the base station energy efficiency of each network object based on the ratio between the base station-side network performance index data of each network object and the base station energy consumption consumed by each network object.

[0243] In other embodiments, the base station energy efficiency of each network object satisfies the following formula:

[0244] EEi_operator P represents the base station energy efficiency of the i-th network object in at least one network object. i_operator EC represents the base station-side network performance metrics data for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0245] In some other embodiments, when the network load of the target base station is greater than or equal to a first preset threshold, the base station energy consumption consumed by each network object in at least one network object is determined based on the energy consumption of the target basic unit with the highest energy consumption among at least one basic unit of the target base station; the base station-side network performance index data of each network object in at least one network object is determined based on the base station-side network performance index data corresponding to the target basic unit; the determining module 802 can be used to determine the base station energy efficiency of each network object based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit.

[0246] In some other embodiments, for a target network object whose network load is greater than or equal to a second preset threshold value in at least one network object; the determining module 802 can be used to determine the target basic unit with the highest energy consumption from at least one basic unit of the base station; take the energy consumption of the target basic unit as the base station energy consumption consumed by the target network object; determine the base station-side network performance index data corresponding to the target basic unit as the base station-side network performance index data of the target network object; and determine the base station energy efficiency of the target network object based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit.

[0247] In some other embodiments, the base station-side network performance index data for each network object is multiple base station-side network performance index data; the determining module 802 can be used to determine the base station energy efficiency of each network object based on the ratio between the sum of the multiple base station-side network performance index data for each network object and the base station energy consumption consumed by each network object.

[0248] In some other embodiments, the base station energy efficiency of each network object satisfies the following formula:

[0249] EE i_operator Perf represents the base station energy efficiency of the i-th network object in at least one network object. i,j EC represents the network performance metrics data of the j-th base station side for the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

[0250] In some other embodiments, the base station-side network performance index data for each network object consists of multiple sets of base station-side network performance index data, and each set of base station-side network performance index data includes at least one set of base station-side network performance index data. The determining module 802 can be used to determine the base station energy efficiency of each network object based on the weighted sum of the combined value of each set of base station-side network performance index data for each network object and the weight of each set of base station-side network performance index data, and the ratio between the base station energy consumption consumed by each network object and the base station energy consumption of each network object.

[0251] In some other embodiments, the combined value of each set of base station-side network performance index data is determined based on the product of at least one base station-side network performance index data included in each set of base station-side network performance index data.

[0252] In some other embodiments, the base station energy efficiency of each network object satisfies the following formula:

[0253] EE i_operator PerfG represents the base station energy efficiency of the i-th network object in at least one network object. i,k w represents the combined value of the k-th group of base station-side network performance index data for the i-th network object. k EC represents the weight of the k-th group of base station-side network performance index data. i_operator This represents the base station energy consumption of the i-th network object.

[0254] In another implementation, at least one network object includes a target network object, which is any one of the at least one network objects; the access network side includes at least one target base station; the determining module 802 can be used to determine the access network side performance index data of the target network object based on the base station side network performance index data corresponding to each target base station side of the at least one target base station; and to determine the access network side energy efficiency of the target network object based on the ratio between the access network side performance index data of the target network object and the energy consumption consumed by the target network object on the access network side; wherein the energy consumption consumed by the target network object on the access network side is determined based on the base station energy consumption consumed by the target network object on each target base station side of the at least one target base station.

[0255] In another implementation, the access network side performance index data of the target network object is determined by the sum of the base station side network performance index data corresponding to each target base station side of the target network object in at least one target base station.

[0256] Another implementation method is to satisfy the following formula for the access network side energy efficiency of the target network object:

[0257] EE 5GMOCN_i_operatorP represents the access network-side energy efficiency of the i-th network object in at least one network object. 5GMOCN_i_operator EC represents the access network-side performance metrics data for the i-th network object. 5GMOCN_i_operator This represents the energy consumption of the i-th network object on the access network side.

[0258] In some other embodiments, the base station-side network performance index data for each network object is a single base station-side network performance index data; or, the base station-side network performance index data for each network object is a combination of multiple base station-side network performance index data.

[0259] In some other embodiments, the base station energy consumption consumed by each network object is determined based on the energy consumption of at least one basic unit of the target base station.

[0260] In some other embodiments, the base station energy consumption of each network object is determined based on the energy consumption of at least one basic unit of the target base station and the base station performance index data of each network object.

[0261] In some other embodiments, the network performance metrics data on the base station side include at least one of the following: traffic, number of data packets, number of users, number of physical resource blocks occupied, latency, and reliability.

[0262] In some other embodiments, the network object includes at least one of the following: operator, network slice, quality of service granularity, network standard, service type, terminal type, and bandwidth portion.

[0263] In the case where the functions of the integrated modules described above are implemented in hardware, this disclosure provides a schematic diagram of the electronic device involved in the above embodiments. As shown in FIG7, the electronic device 900 includes: a processor 902, a communication interface 903, and a bus 904. In some embodiments, the electronic device 900 may further include a memory 901.

[0264] Processor 902 can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with this disclosure. Processor 902 can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof, and can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with this disclosure. Processor 902 can also be a combination that implements computing functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0265] The communication interface 903 is used to connect to other devices via a communication network. This communication network can be Ethernet, wireless access network, wireless local area network (WLAN), etc.

[0266] The memory 901 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0267] In one implementation, the memory 901 can exist independently of the processor 902. The memory 901 can be connected to the processor 902 via a bus 904 and is used to store instructions or program code. When the processor 902 calls and executes the instructions or program code stored in the memory 901, it can implement the energy efficiency determination method provided in this embodiment.

[0268] In another implementation, the memory 901 can also be integrated with the processor 902.

[0269] Bus 904 can be an extended industry standard architecture (EISA) bus, etc. Bus 904 can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in Figure 7, but this does not mean that there is only one bus or one type of bus.

[0270] Through the above description of the implementation methods, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the service calling device can be divided into different functional modules to complete all or part of the functions described above.

[0271] This disclosure also provides a computer-readable storage medium (including a non-transitory computer-readable storage medium). All or part of the processes in the above method embodiments can be executed by computer instructions instructing related hardware. The program can be stored in the aforementioned computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be any of the foregoing embodiments or memory. The aforementioned computer-readable storage medium can also be an external storage device of the aforementioned service invocation device, such as a pluggable hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the aforementioned service invocation device. Further, the aforementioned computer-readable storage medium can include both internal storage units of the aforementioned service invocation device and external storage devices. The aforementioned computer-readable storage medium is used to store the aforementioned computer program and other programs and data required by the aforementioned service invocation device. The aforementioned computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0272] This disclosure also provides a computer program product comprising a computer program that, when run on a computer, causes the computer to perform any of the energy efficiency determination methods provided in the above embodiments.

[0273] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any changes or substitutions within the technical scope disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A method for determining energy efficiency, comprising: For a target base station in the access network used to provide wireless network access services for at least one network object, obtain the base station energy consumption consumed by each of the at least one network object; Based on the base station energy consumption of each network object and the base station-side network performance index data corresponding to each network object on the target base station side, the base station energy efficiency and / or access network-side energy efficiency of each network object are determined.

2. The method according to claim 1, wherein, The determination of base station energy efficiency for each network object based on the base station energy consumption and base station-side network performance index data of each network object includes: The base station energy efficiency of each network object is determined based on the ratio between the base station-side network performance index data of each network object and the base station energy consumption of each network object.

3. The method according to claim 2, wherein, The base station energy efficiency of each network object satisfies the following formula: Among them, EE i_operator P represents the base station energy efficiency of the i-th network object in at least one network object. i_operator The EC represents the base station-side network performance index data of the i-th network object. i_operator This represents the base station energy consumption of the i-th network object.

4. The method according to claim 1, wherein, When the network load of the target base station is greater than or equal to a first preset threshold, the base station energy consumption consumed by each of the at least one network objects is determined based on the energy consumption of the target basic unit with the highest energy consumption among the at least one basic units of the target base station. The base station-side network performance index data for each network object in the at least one network object is determined based on the base station-side network performance index data corresponding to the target basic unit; The determination of base station energy efficiency for each network object based on the base station energy consumption and base station-side network performance index data of each network object includes: Based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit, the base station energy efficiency of each network object is determined.

5. The method according to claim 1, wherein, For the target network object whose network load is greater than or equal to the second preset threshold value among the at least one network object; The step of obtaining the base station energy consumption consumed by each of the at least one network object includes: Identify the target basic unit with the highest energy consumption from at least one basic unit of the base station; The energy consumption of the target basic unit is taken as the base station energy consumption consumed by the target network object; The determination of base station energy efficiency for each network object based on the base station energy consumption and base station-side network performance index data of each network object includes: The base station-side network performance index data corresponding to the target basic unit is determined as the base station-side network performance index data of the target network object; Based on the base station-side network performance index data corresponding to the target basic unit and the energy consumption of the target basic unit, the base station energy efficiency of the target network object is determined.

6. The method according to claim 1, wherein, The base station-side network performance index data for each network object comprises multiple base station-side network performance index data; the determination of the base station energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object includes: The base station energy efficiency of each network object is determined by the ratio between the sum of multiple base station-side network performance index data for each network object and the base station energy consumption of each network object.

7. The method according to claim 6, wherein, The base station energy efficiency of each network object satisfies the following formula: Among them, EE i_operator The Perf represents the base station energy efficiency of the i-th network object among the at least one network object. i,j This represents the network performance index data of the j-th base station side of the i-th network object, and the EC i_operator This represents the base station energy consumption consumed by the i-th network object.

8. The method according to claim 1, wherein, The base station-side network performance index data for each network object consists of multiple sets of base station-side network performance index data, each set including at least one base station-side network performance index data; determining the base station energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data of each network object includes: The base station energy efficiency of each network object is determined by the ratio between the combined value of each set of base station-side network performance index data for each network object and the weighted sum of the weights of each set of base station-side network performance index data, and the base station energy consumption consumed by each network object.

9. The method according to claim 8, wherein, The combined value of each group of base station-side network performance index data is determined based on the product of at least one base station-side network performance index data included in each group of base station-side network performance index data.

10. The method according to claim 9, wherein, The base station energy efficiency of each network object satisfies the following formula: Among them, EE i_operator The PerfG represents the base station energy efficiency of the i-th network object among the at least one network object. i,k w represents the combined value of the k-th group of base station-side network performance index data for the i-th network object. k The weights of the k-th group of base station-side network performance index data, the EC i_operator This represents the base station energy consumption consumed by the i-th network object.

11. The method according to claim 1, wherein, The at least one network object includes a target network object, which is any one of the at least one network objects; the access network side includes at least one target base station, and determining the access network side energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station side network performance index data of each network object includes: Based on the base station-side network performance index data corresponding to the target network object in each of the at least one target base stations, the access network-side performance index data of the target network object is determined. The access network side energy efficiency of the target network object is determined by the ratio between the access network side performance index data of the target network object and the energy consumption consumed by the target network object on the access network side; wherein, the energy consumption consumed by the target network object on the access network side is determined based on the base station energy consumption consumed by the target network object on each of the at least one target base station.

12. The method according to claim 11, wherein, The access network-side performance index data of the target network object is determined by the sum of the base station-side network performance index data corresponding to the target network object in each of the at least one target base station.

13. The method according to claim 11, wherein, The access network-side energy efficiency of the target network object satisfies the following formula: Among them, EE 5GMOCN_i_operator The P represents the access network-side energy efficiency of the i-th network object among the at least one network object. 5GMOCN_i_operator This represents the access network-side performance index data of the i-th network object, and the EC 5GMOCN_i_operator This represents the energy consumption of the i-th network object on the access network side.

14. The method according to any one of claims 1 to 13, wherein, The base station-side network performance index data for each network object is a single base station-side network performance index data; or, the base station-side network performance index data for each network object is a combination of multiple base station-side network performance index data.

15. The method according to any one of claims 1 to 14, wherein, The base station energy consumption consumed by each network object is determined based on the energy consumption of at least one basic unit of the target base station.

16. The method according to any one of claims 1 to 15, wherein, The base station energy consumption of each network object is determined based on the energy consumption of at least one basic unit of the target base station and the base station performance index data of each network object.

17. The method according to any one of claims 1 to 15, wherein, The network performance metrics data on the base station side include at least one of the following: traffic, number of data packets, number of users, number of physical resource blocks occupied, latency, and reliability.

18. The method according to any one of claims 1 to 17, wherein, The network object includes at least one of the following: operator, network slice, quality of service granularity, network standard, service type, terminal type, and bandwidth portion.

19. An energy consumption determination device, comprising: The acquisition module and the determination module, wherein, The acquisition module is used to acquire the base station energy consumption of each of the at least one network object in the access network for providing wireless network access services to at least one network object. The determining module is used to determine the base station energy efficiency and / or the access network energy efficiency of each network object based on the base station energy consumption consumed by each network object and the base station-side network performance index data corresponding to each network object on the target base station side.

20. An electronic device comprising a processor and a memory, wherein, The processor is coupled to the memory; the memory is used to store computer instructions, which are loaded and executed by the processor to enable the electronic device to implement the energy efficiency determination method according to any one of claims 1 to 18.

21. A computer-readable storage medium, wherein, The computer-readable storage medium includes computer-executable instructions that, when executed on a computer, cause the computer to perform the energy efficiency determination method according to any one of claims 1 to 18.

22. A computer program product, wherein, The computer program product includes a computer program that, when run on an electronic device, causes the electronic device to perform the energy efficiency determination method according to any one of claims 1 to 18.

23. A computer program comprising computer instructions that, when executed by a processor, implement the energy efficiency determination method according to any one of claims 1 to 18.

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