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

Abstract

The application provides an energy efficiency determination method, an electronic device, a storage medium and a program product, relates to the technical field of communication, and is used for network resource management and performance optimization. The method comprises the following steps: for each network object in at least one network object, based on energy consumption of each network object consumed at a core network side and energy consumption of each network object consumed at an access network side, determining energy consumption of each network object in an indirect network sharing scenario; and based on at least the energy consumption of each network object in the indirect network sharing scenario and network performance index data of each network object, determining energy efficiency of each network object in the indirect sharing scenario.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and particularly relates to an energy efficiency determination method, an electronic device, a storage medium and a program product. BACKGROUND

[0002] There are two common wireless network sharing modes, which are RAN-only sharing and indirect network sharing. In the indirect network sharing scenario, the network element device in the wireless network shared by multiple operators is not directly connected to the core network of each sharing party, and the wireless network completes communication with the core network through the core network of the building operator connected to the radio access network (RAN) for routing. This network sharing mode can enable multiple operators to provide services on the same RAN, and due to the fact that the number of core network element is much smaller than the number of wireless network element, the connection demand of the wireless network element directly connected to the core network of multiple operators can be reduced, thereby realizing resource sharing, reducing cost and improving efficiency.

[0003] The 3rd Generation Partnership Project (3GPP) standard specifies a method for calculating the energy efficiency of the core network. Calculating the energy efficiency of the core network helps operators to accurately evaluate the resource utilization effect of the current network element based on the energy efficiency of the core network element, and is beneficial to the operators to manage the core network resources, so as to plan appropriate energy-saving strategies, reduce operating costs and improve network performance. However, in the indirect network sharing scenario, the energy efficiency of each operator cannot be calculated separately, which is not conducive to the energy efficiency statistics and network resource management of the operators. SUMMARY

[0004] The present application provides an energy efficiency determination method, an electronic device, a storage medium and a program product, which are used for cost allocation and resource management.

[0005] In a first aspect, the present application provides an energy efficiency determination method, which is applied to a network sharing scenario, and the network sharing scenario is used to provide wireless network resources for at least one network object. The method comprises the following steps: for each network object in the at least one network object, determining the energy efficiency of each network object in the network sharing scenario based on at least the energy consumption of each network object in the network sharing scenario and the network performance index data of each network object.

[0006] The technical scheme provided in the application brings at least the following beneficial effects: the energy efficiency determination method provided in the application can determine the energy efficiency of each network object in an indirect sharing scenario based on the energy consumption of each network object in a network sharing scenario and the network performance index data of each network object. The energy efficiency of each network object in the indirect sharing scenario can be standardized, which not only helps the network object to accurately evaluate the network resource utilization effect in the indirect sharing scenario, but also helps the network object to perform network resource management and energy efficiency optimization, so as to plan appropriate energy-saving strategies, reduce operating costs and improve network performance.

[0007] In a possible implementation, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between the network performance index data of each network object and the energy consumption of each network object in the network sharing scenario.

[0008] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0009]

[0010] EE i = Perf i / EC i 5GC_INS_i_operator EE i represents the energy efficiency of an i th network object in the indirect sharing scenario, Perf i represents the network performance index data of the i th network object, and EC i represents the energy consumption of the i th network object in the network sharing scenario. i EE i represents the energy efficiency of an i th network object in the indirect sharing scenario, Perf i represents the network performance index data of the i th network object, and EC i represents the energy consumption of the i th network object in the network sharing scenario. 5GC_INS_i_operator EE i represents the energy efficiency of an i th network object in the indirect sharing scenario, Perf i represents the network performance index data of the i th network object, and EC i represents the energy consumption of the i th network object in the network sharing scenario.

[0011] In another possible implementation, the network performance index data of each network object is a plurality of network performance index data, and the energy efficiency of each network object in the indirect sharing scenario is determined based at least on the energy consumption of each network object in the network sharing scenario and the network performance index data of each network object, including: determining the energy efficiency of each network object in the indirect sharing scenario based on the energy consumption of each network object in the network sharing scenario, the network performance index data of each network object, and a weight of each network performance index data.

[0012] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between a weighted sum of a plurality of network performance index data of each network object and the energy consumption of each network object in the network sharing scenario.

[0013] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0014]

[0015] EE i = Perf i / EC i 5GC_INS_i_operatorrepresents the energy efficiency of the i-th network object in the indirect sharing scenario, Perf i,j represents the j-th network performance indicator data of the i-th network object, w j is the weight of the j-th network performance indicator data, EC 5GC_INS_i_operator represents the energy consumption of the i-th network object in the network sharing scenario.

[0016] In another possible implementation, the weights of the same network performance indicator data corresponding to different network objects are different.

[0017] In another possible implementation, the network performance indicator data of each network object is a plurality of groups of network performance indicator data, each group of network performance indicator data including at least one network performance indicator data. Based on at least the energy consumption of each network object in the network sharing scenario and the network performance indicator data of each network object, the energy efficiency of each network object in the indirect sharing scenario is determined, including: based on the energy consumption of each network object in the network sharing scenario, the plurality of groups of network performance indicator data of each network object and the weight of each group of network performance indicator data, determining the energy efficiency of each network object in the indirect sharing scenario.

[0018] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario is determined based on the ratio between the combined value of each group of network performance indicator data of each network object and the weighted sum of the weight of each group of network performance indicator data and the energy consumption of each network object in the network sharing scenario.

[0019] In another possible implementation, the combined value of each group of network performance indicator data is determined based on the product of at least one network performance indicator data included in each group of network performance indicator data.

[0020] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0021]

[0022] wherein, EE 5GC_INS_i_operator represents the energy efficiency of the i-th network object in the indirect sharing scenario, PerfG i,k represents the combined value of the k-th group of network performance indicator data of the i-th network object, w k is the weight of the k-th group of network performance indicator data, EC 5GC_INS_i_operator represents the energy consumption of the i-th network object in the network sharing scenario.

[0023] In another possible implementation, the network sharing scenario includes an access network side and a core network side, and before determining the energy efficiency of each network object in the network sharing scenario, the method further includes: determining energy consumption of each network object in the network sharing scenario based on energy consumption of each network object consumed at the core network side and energy consumption of each network object consumed at the access network side.

[0024] In another possible implementation, the network performance indicator data of each network object includes at least one of the following: access network side performance indicator data, core network side performance indicator data, end-to-end performance indicator data.

[0025] In another possible implementation, the access network side performance indicator data includes at least one of the following: traffic, number of users, number of physical resource blocks occupied, number of data packets, reliability, latency, rate, bandwidth.

[0026] In another possible implementation, the core network side performance indicator data includes at least one of the following: traffic, number of users, number of protocol data unit sessions, number of data packets, reliability, latency, rate, bandwidth, data volume of input / output interfaces.

[0027] In another possible implementation, the end-to-end performance indicator data includes at least one of the following: end-to-end latency, end-to-end latency reciprocal, end-to-end rate, end-to-end reliability, end-to-end traffic.

[0028] In another possible implementation, the network object includes at least one of the following: an operator, a network slice, a quality of service granularity, a network standard, a service type, a terminal type, a bandwidth part.

[0029] In a second aspect, the present application provides an energy efficiency determination apparatus applied to a network sharing scenario, the network sharing scenario being configured to provide wireless network resources for at least one network object, and the apparatus includes a determination module configured to determine, for each network object in the at least one network object, energy efficiency of the each network object in the network sharing scenario based on at least network performance indicator data of the each network object and energy consumption of the each network object consumed in the network sharing scenario.

[0030] In a possible implementation, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between the network performance indicator data of the each network object and the energy consumption of the each network object consumed in the network sharing scenario.

[0031] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0032]

[0033] EE = (P 5GC_INS_i_operatoran energy efficiency of an i-th network object in the at least one network object in the indirect sharing scenario, Perf i network performance indicator data of the i-th network object, EC 5GC_INS_i_operator an energy consumption of the i-th network object in the network sharing scenario.

[0034] In another possible implementation, the network performance indicator data of each network object is a plurality of network performance indicator data, and the determining module is specifically configured to determine the energy efficiency of each network object in the indirect sharing scenario based on the energy consumption of each network object in the network sharing scenario, the network performance indicator data of each network object, and a weight of each network performance indicator data.

[0035] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between a weighted sum of a plurality of network performance indicator data of each network object and the energy consumption of each network object in the network sharing scenario.

[0036] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0037]

[0038] wherein, EE 5GC_INS_i_operator an energy efficiency of an i-th network object in the at least one network object in the indirect sharing scenario, Perf i,j j-th network performance indicator data of the i-th network object, w j a weight of the j-th network performance indicator data, EC 5GC_INS_i_operator an energy consumption of the i-th network object in the network sharing scenario.

[0039] In another possible implementation, the weight of a same network performance indicator data corresponding to different network objects is different.

[0040] In another possible implementation, the network performance indicator data of each network object is a plurality of groups of network performance indicator data, each group of network performance indicator data includes at least one network performance indicator data, and the determining module is specifically configured to determine the energy efficiency of each network object in the indirect sharing scenario based on the energy consumption of each network object in the network sharing scenario, the plurality of groups of network performance indicator data of each network object, and a weight of each group of network performance indicator data.

[0041] In another possible implementation, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between a weighted sum of a combination value of each group of network performance indicator data of each network object and a weight of each group of network performance indicator data and the energy consumption of each network object in the network sharing scenario.

[0042] In a possible implementation, the combined value of each group of network performance indicator data is determined based on a product of at least one network performance indicator data included in each group of network performance indicator data.

[0043] In a possible implementation, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0044]

[0045] wherein EEi represents the energy efficiency of the i th network object in the indirect sharing scenario, PerfG represents a combined value of the k th group of network performance indicator data of the i th network object, w represents a weight of the k th group of network performance indicator data, and EC represents the energy consumption of the i th network object in the network sharing scenario. 5GC_INS_i_operator i,k k 5GC_INS_i_operator

[0046] In a possible implementation, the network sharing scenario includes an access network side and a core network side, and before determining the energy efficiency of each network object in the network sharing scenario, the method further includes: determining the energy consumption of each network object in the network sharing scenario based on the energy consumption of each network object at the core network side and the energy consumption of each network object at the access network side.

[0047] In a possible implementation, the network performance indicator data of each network object includes at least one of the following: access network side performance indicator data, core network side performance indicator data, and end-to-end performance indicator data.

[0048] In a possible implementation, the access network side performance indicator data includes at least one of the following: traffic, number of users, number of physical resource blocks occupied, number of data packets, reliability, latency, rate, and bandwidth.

[0049] In a possible implementation, the core network side performance indicator data includes at least one of the following: traffic, number of users, number of protocol data unit sessions, number of data packets, reliability, latency, rate, bandwidth, and data volume of input / output interfaces.

[0050] In a possible implementation, the end-to-end performance indicator data includes at least one of the following: end-to-end latency, end-to-end latency reciprocal, end-to-end rate, end-to-end reliability, and end-to-end traffic.

[0051] In a possible implementation, the network object includes at least one of the following: an operator, a network slice, a quality of service granularity, a network standard, a service type, a terminal type, and a bandwidth part.

[0052] ​​​​In a third aspect, the present application provides an electronic device, comprising: a processor and a memory; the memory stores instructions executable by the processor; the processor is configured to execute the instructions, so that the electronic device implements the method of the first aspect.

[0053] In a fourth aspect, the present application provides a computer-readable storage medium, comprising: computer software instructions; when the computer software instructions run in an electronic device, the electronic device implements the method of the first aspect.

[0054] In a fifth aspect, the present application provides a computer program product, comprising: a computer program; when the computer program runs in an electronic device, the electronic device implements the method of the first aspect.

[0055] The beneficial effects of the second aspect to the fifth aspect are described in the corresponding description of the first aspect, and will not be repeated. BRIEF DESCRIPTION OF DRAWINGS

[0056] Figure 1 An indirect network sharing architecture provided by the present application is shown in the figure;

[0057] Figure 2 An application environment of the energy efficiency determination method provided by the present application is shown in the figure;

[0058] Figure 3 A basic unit of the base station provided by the present application is shown in the figure;

[0059] Figure 4 A flowchart of the energy efficiency determination method provided by the present application is shown in the figure;

[0060] Figure 5 A flowchart of another energy efficiency determination method provided by the present application is shown in the figure;

[0061] Figure 6 A flowchart of still another energy efficiency determination method provided by the present application is shown in the figure;

[0062] Figure 7 A flowchart of still another energy efficiency determination method provided by the present application is shown in the figure;

[0063] Figure 8 A composition diagram of the energy efficiency determination device provided by the present application is shown in the figure;

[0064] Figure 9 A structure diagram of the electronic device provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0065] The energy efficiency determination method provided by the present application will be described in detail below with reference to the accompanying drawings.

[0066] The term "and / or", merely describes an associated relationship, which means that there can be three relationships, for example, A and / or B, which can represent three cases: A exists alone, A and B exist together, and B exists alone.

[0067] The terms "first", "second", and the like in the description of the present application and the drawings are used to distinguish different objects, or to distinguish different treatments of the same object, and are not used to describe a specific order of the object.

[0068] In addition, the terms "include" and "have" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but can optionally include other steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0069] It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design schemes. Rather, the use of "exemplary" or "for example" is intended to present relevant concepts in a concrete manner.

[0070] In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, "first", "second" and the like are used to distinguish the same or similar items with basically the same function and role, and those skilled in the art can understand that "first", "second" and the like are not limited in number and execution order.

[0071] In the description of the present application, unless otherwise specified, "a plurality of" means two or more.

[0072] In order to clearly describe the technical solutions of the embodiments of the present application, the following briefly introduces the provisions of 3GPP on core network energy efficiency.

[0073] The energy efficiency (EE) key performance indicator (KPI) of the fifth generation mobile communication technology core network (5GC) can be calculated using the following formula.

[0074]

[0075] where General 5GC EE KPI denotes the energy efficiency KPI of the core network; UsefulOutput 5GC denotes the useful output of the 5GC, UsefulOutput 5GC may have different definitions, UsefulOutput 5GC The specific definition of UsefulOutput 5GC denotes the total energy consumption of the 5GC.

[0076] As can be seen from the above, the higher the useful output of the 5GC per unit of energy consumption of the core network, the higher the energy efficiency KPI of the 5GC, and the more energy-efficient the 5GC is.

[0077] The 5GC energy efficiency based on the 5GC user plane useful output is determined based on the useful output of the 5GC user plane and the energy consumption of the 5GC.

[0078] The useful output of the 5GC user plane is obtained by aggregating the uplink (UL) and downlink (DL) data volume on the N3 interface, which can be calculated using the following formula.

[0079]

[0080] where UsefulOutput 5GC,DV denotes the useful output of the 5GC user plane, ∑ UPF denotes the summation over all user plane functions (UPFs), GTP.InDataOctN3UPF denotes the uplink data volume on the N3 interface, and GTP.OutDataOctN3UPF denotes the downlink data volume on the N3 interface.

[0081] The 5GC energy efficiency based on the 5GC user plane useful output can be obtained by dividing the sum of the uplink and downlink data volumes on the N3 interface by the energy consumption of the 5GC, and the 5GC energy efficiency based on the 5GC user plane useful output can be calculated using the following formula.

[0082]

[0083] where EE 5GC,UO,UP,DV denotes the 5GC energy efficiency based on the 5GC user plane useful output, ∑ UPF (GTP.InDataOctN3UPF+GTP.OutDataOctN3UPF)*8 denotes the useful output of the 5GC user plane, and EC 5GC denotes the total energy consumption of the 5GC.

[0084] The above is an introduction to the 3GPP provisions regarding core network energy efficiency involved in this application, which will not be repeated below.

[0085] There are two common wireless network sharing methods: sharing only the radio access network and indirect network sharing. In the indirect network sharing scenario, the network elements in a wireless network shared by multiple operators are not directly connected to the core network of each sharing operator. The wireless network communicates with the core network through routing to the core network of the operator that built the RAN. This network sharing method allows multiple operators to provide services on the same RAN. Furthermore, since the number of core network elements is much smaller than the number of wireless network elements, it also reduces the need for direct connections between wireless network elements and the core networks of multiple operators, thereby achieving resource sharing, reducing costs, and improving efficiency.

[0086] like Figure 1 The diagram illustrates an indirect network sharing architecture, comprising: a participating operator core network and a hosting operator network. The participating operators include Operator A, Operator B, and Operator C, while the hosting operator includes Operator X.

[0087] The core networks of Operator A, Operator B, and Operator C are connected to the core network of Operator X through specific interfaces, including N8, N9, N12, or N16. Operator X's core network acts as a hub, handling requests and services from other operators and managing and coordinating traffic and services from multiple participating operators.

[0088] The main operator's network also includes Operator X's shared new radio (NR), also known as the shared radio access network. Operator X's shared NR is connected to Operator X's core network, and all participating operators can access Operator X's shared NR through Operator X's core network. Operator X's shared NR includes Operator X's 5G base stations (gNBs).

[0089] The 3GPP standard specifies methods for calculating core network energy efficiency. Calculating core network energy efficiency helps operators accurately assess the resource utilization of current network elements based on their energy efficiency, which is beneficial for operators to manage core network resources, plan appropriate energy-saving strategies, reduce operating costs, and improve network performance. However, in indirect network sharing scenarios, it is not possible to calculate the energy efficiency of each operator individually, which hinders operators from conducting energy efficiency statistics and network resource management.

[0090] To address the aforementioned technical problems, this application provides an energy efficiency determination method. The method's core idea is to determine the energy efficiency of each network object in an indirect sharing scenario based on its energy consumption and network performance metrics. This standardized measurement of each network object's energy efficiency in an indirect sharing scenario not only helps network objects accurately assess network resource utilization in such scenarios but also facilitates network resource management and energy efficiency optimization, enabling the planning of appropriate energy-saving strategies to reduce operating costs and improve network performance.

[0091] The embodiments provided in this application will now be described in detail with reference to the accompanying drawings.

[0092] The energy efficiency determination method provided in this application can be applied to, for example... Figure 2 The application environment shown. For example... Figure 2 As shown, the application environment includes: wireless access network 110, core network 120, and network management system 130.

[0093] 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.

[0094] 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.

[0095] In some embodiments, such as Figure 3 As shown, 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 equipment 111-5.

[0096] Among them, BBU111-1 is the basic unit responsible for the baseband part of signal processing, used for signal modulation, demodulation, encoding and decoding.

[0097] The AAU111-2 is a basic unit responsible for signal transmission, reception, amplification, and filtering. The AAU111-2 can be integrated into the antenna and the RRU111-4. The integration of the AAU111-2 and the RRU111-4 helps improve base station performance and simplify the base station structure.

[0098] The antenna system 111-3 is a basic unit responsible for signal transmission and reception. The components of the antenna system include a vibrator, a feed network, and the like.

[0099] The RRU 111-4 is a basic unit responsible for radio frequency processing of signals. It has functions such as up-conversion, down-conversion, filtering, amplification, and the like.

[0100] The transmission device 111-5 is a basic unit responsible for optical transmission between the base station 111 and the core network 120. The transmission device 111-5 can be an optical fiber, an optical module, and the like.

[0101] In some embodiments, the radio access network 110 and the core network 120 communicate through different interfaces and protocols, and jointly implement data transmission, user management, and network control.

[0102] In some embodiments, the core network 120 is used to manage the non-access layer functions related to the radio access network 110. For example, the core network 120 can create independent logical networks for different application scenarios, and each independent logical network has customized characteristics and performance indicators.

[0103] In some embodiments, the core network 120 has multiple network functions (NFs), i.e., core network elements, and each network element can access through a service interface.

[0104] For example, the main network elements of the core network include: a user plane function (UPF), a unified data management (UDM), an authentication server function (AUSF), a session management function (SMF), an access and mobility management function (AMF), a network exposure function (NEF), an application function (AF), a policy control function (PCF), a location management function (LMF), and the like.

[0105] The UPF is a user plane access NF of the network, and is mainly responsible for packet routing and forwarding of user plane data, policy implementation, traffic report processing, and the like. The UPF and the UPF can be connected through a user plane interface N9 interface to transmit uplink and downlink user data streams between the UPFs.

[0106] The UDM is responsible for unified management of user subscription information, security information, and the like, and related user identification, access authorization, and mobility management functions.

[0107] The AUSF is an authentication center of the network, and is mainly responsible for providing authentication and access authentication for users.

[0108] The SMF is mainly responsible for tunnel maintenance, internet protocol (IP) address allocation and management, user plane (UP) management, policy implementation, charging data collection, roaming, and the like.

[0109] The AMF is a control plane access NF of the user, and is mainly responsible for user registration management, connection management, reachability management, security management, and mobility management functions.

[0110] The NEF supports interaction between a third-party application AF and each network element in the core network through the NEF. Exemplarily, the NEF can also be referred to as an external capability exposure network element.

[0111] The NRF is mainly responsible for registering and managing various NFs in the network, and ensures discovery and communication between the network functions by maintaining a network function directory.

[0112] The AF represents a third-party application that directly or indirectly interacts with the 5G network, and interacts with other network elements such as the NEF, PCF, and the like in the 5G core network to achieve management and control of network resources and services.

[0113] The PCF is a network element of the policy and charging control architecture, and can provide policy rules for control plane functions.

[0114] The LMF is mainly responsible for positioning process control and completes the positioning function of the terminal.

[0115] In some embodiments, the network elements of the core network 120 can be implemented in a physical entity manner. Exemplarily, the core network 120 includes different physical devices, which are usually specially designed hardware for performing specific core network functions.

[0116] In some embodiments, the network elements of the core network 120 can be implemented in a virtualized manner. Exemplarily, different software instances can be loaded on a standard commercial server to implement different network element functions.

[0117] In some embodiments, the network element of the core network 120 is configured to provide wireless network services for at least one network object.

[0118] In some embodiments, in the indirect network sharing scenario, the core network 120 is connected to the core networks of multiple sharing operators as a host operator's core network, and performs data routing.

[0119] In some embodiments, the network management system 130 can be a standalone hardware device, or a virtual management platform implemented based on software. 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. The embodiments of the present application do not limit the specific device form of the network management system 130.

[0120] In some embodiments, the network management system 130 can be a standalone device, or integrated in the base station 111 included in the wireless access network 110, or integrated in the core network device included in the core network 120. Figure 2 The network management system 130 is taken as an example of a standalone device.

[0121] In some embodiments, the network management system 130 is capable of determining the energy efficiency of each network object in the indirect sharing scenario. For example, the network management system 130 is capable of determining the energy consumption of each network object in the network sharing scenario based on the energy consumption of each network object at the core network 120 side and the energy consumption of each network object at the wireless access network 110 side; and determining the energy efficiency of each network object in the indirect sharing scenario based on at least the energy consumption of each network object in the network sharing scenario and the network performance indicator data of each network object.

[0122] In some embodiments, the network management system 130 can obtain the network performance indicator data. Specifically, the network management system 130 is capable of being communicatively connected with the devices on the wireless access network 110 and the core network 120, and obtaining the network performance indicator data reported by the devices. For example, the network performance indicator data can be one of the access network side performance indicator data, the core network side performance indicator data, and the end-to-end performance indicator data.

[0123] In some embodiments, the network management system 130 can further determine the energy consumption of each network object in the network sharing scenario. For example, for each target network element on the core network side, the energy consumption of each network object on the core network side can be determined based on the network element energy consumption of each network object; for each target base station on the access network side, the energy consumption of each network object on the access network side can be determined based on the base station energy consumption of each network object; and the energy consumption of each network object in the network sharing scenario can be determined based on the energy consumption of each network object on the core network side and the energy consumption of each network object on the access network side.

[0124] It should be noted that the system architecture described in the embodiments of the present application is for more clearly illustrating the technical solutions of the embodiments of the present application, and does not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art can know that the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems as the system architecture evolves.

[0125] Referring to Figure 4 A flowchart of an energy efficiency determination method provided by the embodiments of the present application is shown in FIG. 2. As shown in FIG. 2, the energy efficiency determination method provided by the present application can be implemented by the network management system described above, and specifically includes the following steps S201. Figure 4

[0126] S201, for each network object in the at least one network object, the energy efficiency of each network object in the indirect sharing scenario is determined based on at least the energy consumption of each network object in the network sharing scenario and the network performance indicator data of each network object.

[0127] In some embodiments, the energy efficiency of each network object in the indirect sharing scenario is determined based on the ratio between the network performance indicator data of each network object and the energy consumption of each network object in the network sharing scenario.

[0128] For example, the energy efficiency of each network object in the indirect sharing scenario can be determined based on the following formula (1).

[0129]

[0130] wherein EEi represents the energy efficiency of the i th network object in the indirect sharing scenario, Perf i represents the network performance indicator data of the i th network object, EC i represents the energy consumption of the i th network object in the network sharing scenario, and EE i / Perf i represents the ratio between the network performance indicator data of the i th network object and the energy consumption of the i th network object in the network sharing scenario. 5GC_INS_i_operator i 5GC_INS_i_operator

[0131] ​​​​In some embodiments, the network performance indicator data of each network object comprises at least one of the following: access network side performance indicator data, core network side performance indicator data, end-to-end performance indicator data.

[0132] In some embodiments, the access network side performance indicator data comprises at least one of the following: traffic, number of users, number of physical resource blocks, number of data packets, reliability, latency, rate, bandwidth. The number of users refers to the average number of users connected to the base station on the RRC, and the reliability refers to the ratio of the number of reliably transmitted data packets to the total number of data packets within a period of time.

[0133] In some embodiments, the core network side performance indicator data comprises at least one of the following: traffic, number of users, number of protocol data unit sessions, number of data packets, reliability, latency, rate, bandwidth, data volume of input / output interfaces. The number of users refers to the number of core network registered users of the network object, and the reliability refers to the ratio of the number of reliably transmitted data packets to the total number of data packets within a period of time.

[0134] In some embodiments, the end-to-end performance indicator data comprises at least one of the following: end-to-end latency, inverse of end-to-end latency, end-to-end rate, end-to-end reliability, end-to-end traffic.

[0135] It should be noted that the network performance indicator data of each network object is used to calculate the energy efficiency of each network object in the indirect sharing scenario. When the access network side comprises multiple base stations, the access network side performance indicator data can be a combination of the performance indicator data of multiple base stations or a single base station performance indicator data. When the core network side comprises multiple network elements, the core network side performance indicator data can be a combination of the performance indicator data of multiple network elements. The combination method can be summation, multiplication, averaging, etc. of multiple data. The present application does not limit the combination method of the performance indicator data of multiple base stations and the combination method of the performance indicator data of multiple network elements.

[0136] For example, when the access network comprises multiple base stations, the number of users in the access network side performance indicator data can be the average of the number of users in the base station performance indicator data of multiple base stations, and the traffic in the access network side performance indicator data can be the sum of the traffic in the base station performance indicator data of multiple base stations.

[0137] The end-to-end reliability refers to the ratio of the number of reliably transmitted data packets to the total number of data packets within a period of time, and the end-to-end latency includes downlink latency and uplink latency. Considering the difference between the end-to-end latency and other end-to-end performance indicator data, the smaller the end-to-end latency, the better the end-to-end transmission performance. Therefore, when determining the energy efficiency, the inverse of the end-to-end latency can be selected as the network performance indicator data for measuring the energy efficiency.

[0138] It should be noted that the influencing factors of the energy efficiency of each network object in the indirect sharing scenario include network performance indicator data and the energy consumption of each network object in the indirect sharing scenario. The network performance indicator data contains many kinds, and different network performance indicator data is used to evaluate different aspects of network performance. In actual evaluation of the energy efficiency of each network object in the indirect sharing scenario, appropriate network performance indicator data can be selected based on the service characteristics of the network in which the network object is located.

[0139] For example, in an enhanced mobile broadband (EMBB) scenario, the network needs to focus on the high-speed mobile data transmission capacity of large bandwidth, and the traffic can be selected as the network performance indicator data for measuring the energy efficiency of each network object in the indirect sharing scenario. For example, the above-mentioned traffic can be the traffic in the access network side performance indicator data, the traffic in the core network side performance indicator data, the end-to-end traffic in the end-to-end performance indicator data, or the sum of the traffic in the access network side performance indicator data and the traffic in the core network side performance indicator data.

[0140] In an ultra-reliable low latency communications (URLLC) scenario, the network needs to focus on the low-latency high-reliability mobile data transmission capability, and the latency, reliability, or reliable transmission traffic can be selected as the network performance indicator data for measuring the energy efficiency of each network object in the indirect sharing scenario.

[0141] In a massive machine type communication (mMTC) scenario, the base station is generally used for Internet of Things applications such as smart cities and smart homes, and needs to focus on the connection capability of a large number of low-power and low-cost devices. The number of users can be selected as the network performance indicator data for measuring the energy efficiency of each network object in the indirect sharing scenario.

[0142] In some embodiments, the network performance indicator data of each network object is a plurality of network performance indicator data, and the energy efficiency of each network object in the indirect sharing scenario can be determined based on the energy consumption of each network object in the network sharing scenario, the network performance indicator data of each network object, and the weight of each network performance indicator data.

[0143] For example, the energy efficiency of each network object in the indirect sharing scenario is determined based on the ratio between the weighted sum of the plurality of network performance indicator data of each network object and the energy consumption of each network object in the network sharing scenario.

[0144] For example, the energy efficiency of each network object in an indirect sharing scenario can be determined based on the following formula (2).

[0145]

[0146] Among them, EE 5GC_INS_i_operator Perf represents the energy efficiency of the i-th network object in an indirect sharing scenario. i,j w represents the j-th network performance metric data of the i-th network object. j EC represents the weight of the j-th network performance metric data. 5GC_INS_i_operator This represents the energy consumption of the i-th network object in a network sharing scenario.

[0147] In some embodiments, the weights of the same network performance metric data may differ for different network objects.

[0148] It should be noted that using a weighted sum of multiple network performance metrics for each network object to measure its energy efficiency in indirect sharing scenarios can fully account for the impact of multiple network performance metrics on energy efficiency, thus improving the accuracy of energy efficiency calculations for network objects in indirect sharing scenarios. For example, traffic from the access network side performance metrics can be selected as the first network performance metric for the network object, with a weight of 0.5, and traffic from the core network side performance metrics can be selected as the second network performance metric for the network object, with a weight of 0.5.

[0149] In some embodiments, the network performance index data for each network object consists of multiple sets of network performance index data, each set of network performance index data including at least one set of network performance index data. The energy efficiency of each network object in the indirect sharing scenario can be determined based on the energy consumption consumed by each network object in the network sharing scenario, the multiple sets of network performance index data for each network object, and the weight of each set of network performance index data.

[0150] For example, the energy efficiency of each network object in an indirect sharing scenario is determined by the ratio between the combined value of each set of network performance index data for each network object and the weighted sum of the weights of each set of network performance index data, and the energy consumption of each network object in the network sharing scenario.

[0151] For example, the energy efficiency of each network object in an indirect sharing scenario can be determined based on the following formula (3).

[0152]

[0153] Among them, EE 5GC_INS_i_operator PerfG represents the energy efficiency of the i-th network object in an indirect sharing scenario. i,ka combination value of the kth group of network performance indicator data of the ith network object, w k a weight of the kth group of network performance indicator data, EC 5GC_INS_i_operator represents the energy consumption of the ith network object in the network sharing scenario.

[0154] In some embodiments, the combination value of each group of network performance indicator data is determined based on the product of at least one network performance indicator data included in each group of network performance indicator data.

[0155] For example, the combination value of each group of network performance indicator data can be determined based on the following formula (4).

[0156] PerfG i,k = Π j Perf i,j Formula (4)

[0157] wherein PerfG i,k represents the combination value of the kth group of network performance indicator data of the ith network object in the at least one network object, Perf i,j represents the jth network performance indicator in the kth group of network performance indicator data of the ith network object.

[0158] It should be noted that using multiple groups of network performance indicator data of each network object to measure the energy efficiency of each network object in the indirect sharing scenario can flexibly reflect the influence of multiple network performance indicator data on the energy efficiency, and improve the accuracy of the calculation of the energy efficiency of the network object in the indirect sharing scenario. For example, the traffic and reliability in the access network side performance indicator data can be selected as the first group of network performance indicator data of the network object, with a weight of 0.5, and the combination value of the first group of network performance indicator data is the reliable transmission traffic of the wireless network side; the traffic and reliability in the core network side performance indicator data can be selected as the second group of network performance indicator data of the network object, with a weight of 0.5, and the combination value of the second group of network performance indicator data is the reliable transmission traffic of the core network side.

[0159] In some embodiments, the network object includes at least one of the following: an operator, a network slice, a quality of service granularity, a network standard, a service type, a terminal type, and a bandwidth part (BWP).

[0160] For example, when the network object is an operator, in the network sharing scenario, multiple operators can access the same wireless access network and the same core network. The energy efficiency determination method provided by the present application can determine the energy efficiency of different operators in the network sharing scenario.

[0161] In the case that the network object is a terminal type, for example, in a network sharing scenario, the terminals accessing the wireless network include reduced capability (RedCap) terminals and non-reduced capability (Non-RedCap) terminals, the energy efficiency determination method provided by the present application can determine the energy efficiency of different types of terminals in a network sharing scenario.

[0162] In the case that the network object is a bandwidth part, in a network sharing scenario, the bandwidth resource can be divided into multiple bandwidth parts, and the energy efficiency determination method provided by the present application can determine the energy efficiency of different bandwidth parts in a network sharing scenario.

[0163] In some embodiments, before performing the above step S201, the energy efficiency determination method provided by the present application further comprises determining the energy consumption of each network object in the network sharing scenario.

[0164] For example, for each network object in the at least one network object, the energy consumption of each network object in the network sharing scenario is determined based on the energy consumption of each network object on the core network side and the energy consumption of each network object on the access network side.

[0165] In some embodiments, the energy consumption of each network object in the network sharing scenario is the sum of the energy consumption of each network object on the core network side and the energy consumption of each network object on the access network side.

[0166] For example, the core network side includes multiple target network elements, and the energy consumption of each network object on the core network side is the sum of the energy consumption of multiple target network elements consumed by each network object.

[0167] The access network side includes multiple base stations, and the energy consumption of each network object on the access network side is the sum of the energy consumption of different base stations consumed by each network object.

[0168] For example, when at least one network object uses the wireless network resource provided by the network sharing scenario, the energy consumption of the i-th network object in the network sharing scenario can be determined based on the following formula (5).

[0169] EC 5GC_INS_i_operator = EC 5GC_i_operator + ECRAN _i_operator = ∑ gNB EC i_operator + ∑ 5GCNF EC 5GCNF_i_operator Formula (5)

[0170] Wherein, EC 5GC_INS_i_operatorrepresents the energy consumption of the ith network object in the network sharing scenario, EC 5GC_i_operator represents the energy consumption of the ith network object on the core network side, EC RAN_i_operator represents the energy consumption of the ith network object on the access network side, gNB represents a base station on the access network side, EC i_operator represents the base station energy consumption of the ith network object consumed by the base station on the access network side, 5GCNF represents a network element on the core network side, ∑ 5GCNF EC 5GCNF_i_operator represents the network element energy consumption of the ith network object consumed by the core network network element on the core network side.

[0171] In some embodiments, the target network element on the core network side can be one of a UPF, a UDM, an AUSF, an SMF, an AMF, a NEF, an AF, a PCF, and a LMF.

[0172] In some embodiments, the energy efficiency determination method provided in the present application further comprises: determining the energy consumption of each network object on the core network side and the energy consumption of each network object on the access network side in the at least one network object.

[0173] For example, as shown in FIG. 3, the determination of the energy consumption of each network object on the core network side can be implemented as S301-S302. Figure 5

[0174] S301, determining the network element energy consumption consumed by each network object.

[0175] In some embodiments, the network element energy consumption consumed by each network object can be determined based on the energy consumption of the target network element.

[0176] In one possible implementation, the network element energy consumption consumed by each network object is the total energy consumption of the target network element.

[0177] For example, when there is at least one network object using the wireless network service provided by the target network element, the network element energy consumption consumed by the ith network object can be calculated by the following formula (6).

[0178] EC 5GCNF_i_operator = EC 5GCNF Formula (6)

[0179] Wherein, EC 5GCNF_i_operator represents the network element energy consumption consumed by the ith network object, EC 5GCNF represents the total energy consumption of the target network element.

[0180] In another possible implementation, the network element energy consumption consumed by each network object is the average energy consumption determined based on the total energy consumption of the target network element and the number of the at least one network object. ​

[0181] For example, when there are N network objects using the wireless network service provided by the target network element, the network element energy consumption consumed by the i-th network object can be calculated by the following formula (7).

[0182]

[0183] wherein EC 5GCNF_i_operator represents the network element energy consumption consumed by the i-th network object, EC 5GCNF represents the total energy consumption of the target network element, and N is the number of network objects using the wireless network service provided by the target network element.

[0184] In some embodiments, the network element energy consumption consumed by each network object can be determined based on the energy consumption of the target network element and the network element performance indicator data of each network object in the at least one network object.

[0185] For example, when there are N network objects using the wireless network service provided by the target network element, the network element energy consumption consumed by the i-th network object can be calculated by the following formula (7). sum i

[0186] For example, when there are at least one network object using the wireless network service provided by the target network element, the sum of the network element performance indicator data of all network objects using the wireless network service provided by the target network element is Factor i , the network element performance indicator data of the i-th network object is Factor sum , the network element energy consumption consumed by the i-th network object can be calculated by the following formula (8).

[0187]

[0188] wherein EC 5GCNF_i_operator represents the network element energy consumption consumed by the i-th network object, EC 5GCNF represents the total energy consumption of the target network element, Factor i / Factor sum represents the network element performance indicator proportion of the i-th network object.

[0189] In some embodiments, the network element performance indicator data includes at least one of the following: traffic, number of users, number of protocol data unit sessions, CPU utilization, GPU utilization, memory utilization, hard disk utilization, and data volume of input / output interface.

[0190] In some embodiments, the energy consumption of each network object is determined based on the energy consumption of the target network element, the network element performance index data of each network object in at least one network object, and the weight of the network element performance index data.

[0191] For example, when the network element performance index data for each network object consists of multiple performance index data, the network element energy consumption consumed by each network object is determined based on the energy consumption affected by each performance index data in the network element performance index data of each network object; wherein, the network element performance index data includes target performance index data, and the energy consumption affected by the target performance index data is determined based on the product of the index ratio of the target performance index data and the weight of the target performance index data, and the total energy consumption of the target network element; 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.

[0192] For example, when at least one network object uses the wireless network service provided by the target network element, the sum of the performance index data of the j-th network element of all network objects using the wireless network service provided by the target network element is Factor. sum,j The performance index data of the j-th network element of the i-th network object is Factor. i,j The energy consumption of the i-th network object can be calculated using the following formula (9).

[0193]

[0194] Among them, EC 5GCNF_i_operator EC represents the network element energy consumption consumed by the i-th network object. 5GCNF Factor represents the total energy consumption of the target network element. i,j / Factor sum,j w represents the proportion of the performance indicators of the j-th network element of the i-th network object. j This represents the weight of the performance index of the j-th network element.

[0195] S302. For at least one target network element on the core network side, determine the energy consumption of each network object on the core network side based on the network element energy consumption consumed by each network object.

[0196] In some embodiments, the core network side includes multiple target network elements, and the energy consumption of each network object on the core network side is the sum of the energy consumption of the multiple target network elements consumed by each network object.

[0197] For example, when at least one network object uses the wireless network resources provided in the network sharing scenario, the energy consumption of the i-th network object on the core network side can be determined based on the following formula (10).

[0198] EC 5GC_i_operator =∑ 5GCNF EC 5GCNF_i_operator Formula (10)

[0199] wherein, EC 5GC_i_operator represents the energy consumption of the i-th network object at the core network side, 5GCNF represents different network elements at the core network side, EC 5GCNF_i_operator represents the network element energy consumption consumed by the i-th network object.

[0200] As Figure 6 shown, determining the energy consumption consumed by each network object in the at least one network object at the access network side can be specifically implemented as S401-S402.

[0201] S401, determining the base station energy consumption consumed by each network object.

[0202] In some 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.

[0203] In one possible implementation, the base station energy consumption consumed by each network object is the sum of the energy consumption of at least one basic unit of the base station.

[0204] For example, when there is at least one network object using 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 by the following formula (11).

[0205] EC i_operator =∑ element EC element Formula (11)

[0206] wherein, EC i_operator represents the base station energy consumption consumed by the i-th network object, element represents a basic unit of the base station, EC element represents the energy consumption of the base station basic unit.

[0207] In another possible implementation, the energy consumption consumed by each network object is the average energy consumption of at least one basic unit of the base station.

[0208] For example, when there are N network objects using the wireless network access service provided by the base station, the energy consumption consumed by the i-th network object can be calculated by the following formula (12).

[0209]

[0210] wherein, EC i_operator represents the base station energy consumption consumed by the i-th network object, element represents a basic unit of the base station, ECelement represents the energy consumption of the base station.

[0211] In another possible implementation, the base station energy consumption consumed by each network object is determined based on a sum of the energy consumption of a part of the at least one base unit of the base station and an average energy consumption of another part of the at least one base unit of the base station.

[0212] For example, when there are multiple network objects using 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 by using the following formula (13).

[0213]

[0214] wherein EC i_operator represents the base station energy consumption of the i-th network object in the at least one network object, element_1 represents the part of the at least one base unit of the base station, EC element_1 represents the energy consumption of the part of the at least one base unit of the base station, element_2 represents the another part of the at least one base unit of the base station, EC element_2 represents the energy consumption of the another part of the at least one base unit of the base station, and N represents the number of the another part of the at least one base unit of the base station.

[0215] It can be understood that when the at least one base unit of the base station has a and the part of the at least one base unit of the base station has b, the another part of the at least one base unit of the base station has a-b, that is, the at least one base unit of the base station is composed of the part and the another part.

[0216] In some embodiments, the base station energy consumption consumed by each network object is determined based on the energy consumption of the at least one base unit of the base station and the base station performance indicator data of each network object in the at least one network object.

[0217] For example, the base station energy consumption consumed by each network object is determined based on a sum of the energy consumption of the at least one base unit of the base station and a base station performance indicator ratio of each network object, the base station performance indicator ratio of each network object being used to indicate a proportion of the base station performance indicator data of each network object in a total of the base station performance indicator data of the at least one network object.

[0218] For example, when there are at least one network object using the wireless network access service provided by the base station, the total of the base station performance indicator data of the network objects of the wireless network access service provided by the base station is factor sum , and the base station performance indicator data of the i-th network object is Factori The base station energy consumption consumed by the i-th network object can be calculated by the following formula (14).

[0219]

[0220] Wherein, EC i_operator represents the base station energy consumption consumed by the i-th network object, element represents a basic unit of the base station, Factor i / Factor sum represents the base station performance index proportion of the i-th network object, EC element represents the energy consumption of the base station basic unit.

[0221] In some embodiments, the base station performance index data includes at least one of the following: traffic, number of users, number of physical resource block occupation, CPU utilization, GPU utilization, wireless resource utilization, bandwidth.

[0222] In some embodiments, the at least one basic unit of the 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, and 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.

[0223] For example, in the case that the base station performance index data of 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 proportion 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.

[0224] In a possible implementation, the energy consumption of the first basic unit is the sum of the energy consumption of the first basic unit, and the sum of the base station performance index data of the network object of the wireless network access service provided by the base station is Factor sum when there is at least one network object using the wireless network access service provided by the base station, and the base station performance index data of the i-th network object is Factor i The base station energy consumption consumed by the i-th network object can be calculated by the following formula (15).

[0225]

[0226] Wherein, EC i_operatorrepresents the base station energy consumed by the i-th network object, static_element represents the first basic element, and ∑ static_element EC static_element represents the energy consumption of the first basic element, Factor i / Factor sum represents the proportion of the base station performance indicator of the i-th network object, dynamic_element represents the second basic element, and EC dynamic_element represents the energy consumption of the second basic element, Factor i / Factor sum ×∑ dynamic_element EC dynamic_element represents the dynamic energy consumption of the i-th network object.

[0227] In another possible implementation, the energy consumption of the first basic element is the average energy consumption of the first basic element, and the sum of the base station performance indicator data of the N network objects is Factor sum when there are N network objects using the wireless network access service provided by the base station, and the base station performance indicator data of the i-th network object is Factor i The base station energy consumed by the i-th network object can be calculated by the following formula (16).

[0228]

[0229] wherein EC i_operator represents the base station energy consumed by the i-th network object, static_element represents the first basic element, and ∑ staticelement EC staticelement represents the energy consumption of the first basic element, Factor i / Factor sum represents the proportion of the base station performance indicator of the i-th network object, dynamic_element represents the second basic element, and EC dynamic_element represents the energy consumption of the second basic element, Factor i / Factor sum ×∑ dynamic_element EC dynamic_element represents the dynamic energy consumption of the i-th network object.

[0230] In another possible implementation, the energy consumption of the first basic element is the sum of the energy consumption of a part of the basic elements in the first basic element and the sum determined by the average energy consumption of another part of the basic elements in the first basic element, and the sum of the base station performance indicator data of the network objects is Factor sum , and the base station performance indicator data of the i-th network object is Factor iThe base station energy consumption of the i-th network object can be calculated using the following formula (17).

[0231]

[0232] Among them, 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_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 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.

[0233] 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.

[0234] 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.

[0235] One possible implementation is that the energy consumption of the first basic unit is the sum of the energy consumption of the first basic unit. 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,jThe base station energy consumption of the i-th network object can be calculated using the following formula (18).

[0236]

[0237] Among them, EC i_operator This represents the base station energy consumption consumed by the i-th network object, and static_element represents the first basic unit. ∑ static_element EC 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.

[0238] Another possible implementation is that 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 (19).

[0239]

[0240] Among them, 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.

[0241] In another possible implementation, in a case where the energy consumption of the first basic unit is a sum of energy consumptions of a part of the basic units in the first basic unit and an average energy consumption of another part of the basic units in the first basic unit, a sum of the jth base station performance indicator data of the N network objects is Factor sum,j , the jth base station performance indicator data of the ith network object is Factor i,j The base station energy consumption consumed by the ith network object can be calculated by using the following formula (20).

[0242]

[0243] wherein EC i_operator represents the base station energy consumption of the ith network object in the at least one network object, static_element_1 represents the part of the basic units in the first basic unit, EC static_element_1 represents the energy consumption of the part of the basic units in the first basic unit, static_element_2 represents the another part of the basic units in the first basic unit, EC static_element_2 represents the energy consumption of the another part of the basic units in the first basic unit, and N represents the number of the another part of the basic units in the first basic unit. i,j Factor sum,j represents the sum of the jth base station performance indicator data of the at least one network object, dynamic_element j represents the basic unit in the second basic unit whose energy consumption is affected by the jth base station performance indicator data, represents the energy consumption of the basic unit in the second basic unit whose energy consumption is affected by the jth base station performance indicator data.

[0244] S402, for at least one target base station of the access network side, based on the base station energy consumption consumed by each network object, determining the energy consumption consumed by each network object at the access network side.

[0245] In some embodiments, the access network side comprises a plurality of base stations, and the energy consumption consumed by each network object at the access network side is a sum of different base station energy consumptions consumed by each network object.

[0246] For example, when at least one network object uses a wireless network access service provided by a base station of the access network side, the energy consumption consumed by the ith network object at the access network side can be determined based on the following formula (21).

[0247] EC RAN_i_operator =∑ gNBECi_operatorFormula (21)

[0248] wherein EC RAN_i_operator represents the energy consumption of the i-th network object at the access network side, gNB represents the base station at the access network side, EC i_operator represents the base station energy consumption of the i-th network object.

[0249] The energy efficiency determination method of the embodiments of the present application will be introduced below with reference to a specific embodiment.

[0250] In the network sharing scenario of the embodiments, the network objects using the wireless network resources provided by the network sharing scenario are Operator A and Operator B, the core network side includes three network elements, which are AMF, UPF and SMF; the access network side includes two base stations, gNB1 and gNB2, and the basic units of the two base stations each include BBU, RRU and transmission equipment. As shown in Figure 7 the specific implementation process of the embodiments is as follows S501-S508.

[0251] S501, obtaining the energy consumption of the target network element at the core network side based on a statistical period.

[0252] For example, the statistical period can be 1 hour (h), and in the 1h statistical period, the energy consumption of AMF is 1 kilowatt-hour (kwh), the energy consumption of UPF is 0.5 kwh, and the energy consumption of SMF is 1.2 kwh.

[0253] It should be noted that the unit of energy consumption can be kwh or joule (J), and the unit of energy consumption can be converted from kwh to J based on the conversion relationship of 1 kwh = 3,600,000 J. The unit of energy consumption is not limited in the present application.

[0254] S502, respectively determining the network element energy consumption consumed by Operator A and Operator B.

[0255] In some embodiments, the network element energy consumption consumed by each operator can be determined based on the energy consumption of the target network element.

[0256] For example, the network element energy consumption consumed by each operator can be determined based on formula (6). For AMF, the network element energy consumption consumed by Operator A EC 5GCNF_1_operator = 1 kwh, and the network element energy consumption consumed by Operator B EC 5GCNF_2_operator = 1 kwh; for UPF, the network element energy consumption consumed by Operator A EC 5GCNF_1_operator = 0.5 kwh, and the network element energy consumption consumed by Operator B EC 5GCNF_2_operator = 0.5 kwh; for SMF, the network element energy consumption consumed by Operator A EC 5GCNF_1_operator = 1.2 kwh, and the network element energy consumption consumed by Operator B EC5GCNF_2_operator = 1.2 kwh.

[0257] For example, the consumed network element energy of each operator can be determined based on formula (7). For AMF, the consumed network element energy of operator A EC 5GCNF_1_operator = 1 ÷ 2 = 0.5 kwh, and the consumed network element energy of operator B EC 5GCNF_2_operator = 1 ÷ 2 = 0.5 kwh; for UPF, the consumed network element energy of operator A EC 5GCNF_1_operator = 0.5 ÷ 2 = 0.25 kwh, and the consumed network element energy of operator B EC 5GCNF_2_operator = 0.5 ÷ 2 = 0.25 kwh; for SMF, the consumed network element energy of operator A EC 5GCNF_1_operator = 1.2 ÷ 2 = 0.6 kwh, and the consumed network element energy of operator B EC 5GCNF_2_operator = 1.2 ÷ 2 = 0.6 kwh.

[0258] In some embodiments, the consumed network element energy of each operator can be determined based on the energy consumption of the target network element and the network element performance indicator data of each operator.

[0259] For example, the consumed network element energy of each operator can be determined based on formula (8). For example, if the AMF energy consumption is affected by the number of users, the UPF energy consumption is affected by the traffic, and the SMF energy consumption is affected by the CPU utilization, and the number of users of operator A is 30, and the number of users of operator B is 60; the traffic of operator A is 20 gigabytes (GB), and the traffic of operator B is 45 GB; for AMF, the CPU utilization of operator A is 10%, and the CPU utilization of operator B is 25%; for UPF, the CPU utilization of operator A is 9%, and the CPU utilization of operator B is 20%; for SMF, the CPU utilization of operator A is 15%, and the CPU utilization of operator B is 32%.

[0260] For AMF, the consumed network element energy of operator A EC 5GCNF_1_operator = 30 ÷ (30 + 60) x 1 = 0.33 kwh, and the consumed network element energy of operator B EC 5GCNF_2_operator = 60 ÷ (30 + 60) x 1 = 0.33 kwh; for UPF, the consumed network element energy of operator A EC 5GCNF_1_operator = 20 ÷ (20 + 45) x 0.5 ÷ 2 = 0.15 kwh, and the consumed network element energy of operator B EC 5GCNF_2_operator = 45 ÷ (20 + 45) x 0.5 ÷ 2 = 0.35 kwh; for SMF, the consumed network element energy of operator A EC 5GCNF_1_operator = 15% ÷ (15% + 32%) x 1.2 ÷ 2 = 0.38 kwh, and the consumed network element energy of operator B EC5GCNF_2_operator = 30% ÷ (15% + 32%) x 1.2 ÷ 2 = 0.82 kwh.

[0261] In some embodiments, the consumed energy of the network element of each operator can be determined based on the energy consumption of the target network element, the network element performance indicator data of each operator, and the weight of the network element performance indicator data.

[0262] For example, the consumed energy of the network element of each operator can be determined based on formula (9). For example, if the AMF energy consumption is affected by the number of users and the CPU utilization, the weight of the number of users and the CPU utilization is 0.5; the UPF energy consumption is affected by the traffic and the CPU utilization, the weight of the traffic is 0.7 and the weight of the CPU utilization is 0.3; the SMF energy consumption is affected by the number of protocol data unit sessions, and the number of users of operator A is 30 and the number of users of operator B is 60; the traffic of operator A is 20 GB and the traffic of operator B is 45 GB; the number of protocol data unit sessions of operator A is 25 and the number of protocol data unit sessions of operator B is 60; the CPU utilization of operator A is 10% and the CPU utilization of operator B is 25% for AMF; the CPU utilization of operator A is 9% and the CPU utilization of operator B is 20% for UPF; the CPU utilization of operator A is 15% and the CPU utilization of operator B is 32% for SMF.

[0263] For AMF, the consumed energy of the network element of operator A EC 5GCNF_1_operator = (0.5 x 30 ÷ (30 + 60) + 0.5 x 10% ÷ (10% + 25%)) x 1 = 0.31 kwh, and the consumed energy of the network element of operator B EC 5GCNF_2_operator = (0.5 x 60 ÷ (30 + 60) + 0.5 x 25% ÷ (10% + 25%)) x 1 = 0.69 kwh; for UPF, the consumed energy of the network element of operator A EC 5GCNF_1_operator = (0.7 x 20 ÷ (20 + 45) + 0.3 x 9% ÷ (9% + 20%)) x 0.5 = 0.155 kwh, and the consumed energy of the network element of operator B EC 5GCNF_2_operator = (0.7 x 45 ÷ (20 + 45) + 0.3 x 20% ÷ (9% + 20%)) x 0.5 = 0.345 kwh; for SMF, the consumed energy of the network element of operator A EC 5GCNF_1_operator = 25 ÷ (25 + 60) x 1.2 = 0.35 kwh, and the consumed energy of the network element of operator B EC 5GCNF_2_operator = 60 ÷ (25 + 60) x 1.2 = 0.85 kwh.

[0264] S503, determine the energy consumption of the core network side of the operator A and the operator B respectively based on the energy consumption of the network element consumed by the operator A and the operator B.

[0265] In some embodiments, the energy consumption of the core network side of each operator is the sum of the target network element energy consumption consumed by each operator.

[0266] For example, the energy consumption of the core network side of each operator can be determined based on formula (10).

[0267] For example, if the target network element energy consumption consumed by the operator A and the operator B is determined based on formula (6), the energy consumption of the core network side of the operator A EC 5GC_1_operator = 1 + 0.5 + 1.2 = 2.7kwh; the energy consumption of the core network side of the operator B EC 5GC_2_operator 1 + 0.5 + 1.2 = 2.7kwh.

[0268] If the target network element energy consumption consumed by the operator A and the operator B is determined based on formula (8), the energy consumption of the core network side of the operator A EC 5GC_1_operator = 0.33 + 0.15 + 0.38 = 0.86kwh; the energy consumption of the core network side of the operator B EC 5GC_2_operator = 0.67 + 0.35 + 0.82 = 1.84kwh.

[0269] S504, obtain the energy consumption of the target base station basic unit of the access network side based on the statistical period.

[0270] In some embodiments, the statistical period can be 1h. For example, in 1h, the energy consumption of the BBU in gNB1 is 10kwh, the energy consumption of the RRU is 20kwh, and the energy consumption of the transmission device is 6kwh; in gNB2, the energy consumption of the BBU is 9kwh, the energy consumption of the RRU is 22kwh, and the energy consumption of the transmission device is 4kwh.

[0271] S505, determine the base station energy consumption of the operator A and the operator B respectively.

[0272] In some embodiments, the energy consumption of the operator A and the energy consumption of the operator B can be determined based on the energy consumption of the basic unit of the base station.

[0273] In one possible implementation, the 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 the operator A and the energy consumption of the operator B can be calculated based on formula (11) respectively.

[0274] For gNB1, the energy consumption of the operator A EC 1_operator = 10 + 20 + 6 = 36kwh, the energy consumption of the operator B EC2_operator = 10 + 20 + 6 = 36 kwh; for gNB2, the energy consumption EC of Operator A 1_operator = 9 + 22 + 4 = 35 kwh, the energy consumption EC of Operator B 2_operator = 9 + 22 + 4 = 35 kwh.

[0275] In another possible implementation, the energy consumption of each network object is the average energy consumption of at least one basic unit of the base station. The energy consumption of Operator A and the energy consumption of Operator B can be calculated respectively based on formula (12).

[0276] For gNB1, the energy consumption EC of Operator A 1_operator = (10 + 20 + 6) ÷ 2 = 18 kwh, the energy consumption EC of Operator B 2_operator = (10 + 20 + 6) ÷ 2 = 18 kwh; for gNB2, the energy consumption EC of Operator A 1_operator = (9 + 22 + 4) ÷ 2 = 17.5 kwh, the energy consumption EC of Operator B 2_operator = (9 + 22 + 4) ÷ 2 = 17.5 kwh.

[0277] In some embodiments, the energy consumption of Operator A and the 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 indicator data of Operator A and the base station performance indicator data of Operator B. The basic unit of the base station can also be divided into 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 indicator data of the operator, and the energy consumption of the second basic unit is affected by the base station performance indicator data of the operator; the energy consumption of 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 indicator data; wherein the dynamic energy consumption is determined based on the energy consumption of the second basic unit and the base station performance indicator data of each operator.

[0278] For example, the energy consumption of Operator A and the energy consumption of Operator B can be calculated respectively based on formula (14), formula (15) or formula (16).

[0279] For example, when the base station performance indicator data of the operator is traffic, and in gNB1, the traffic of Operator A is 1 GB and the traffic of Operator B is 3 GB; in gNB2, the traffic of Operator A is 2 GB and the traffic of Operator B is 1 GB.

[0280] If the energy consumption of Operator A and the energy consumption of Operator B are calculated respectively based on formula (14), for gNB1, the energy consumption EC of Operator A 1_operator = 1 ÷ (1 + 3) × (10 + 20 + 6) = 9 kwh, the energy consumption EC of Operator B 2_operator= 3 ÷ (1 + 3) x (10 + 20 + 6) = 27 kwh; for gNB2, the energy consumption EC 1_operator = 2 ÷ (1 + 2) x (9 + 22 + 4) = 23.3 kwh, the energy consumption EC 2_operator = 1 ÷ (1 + 2) x (9 + 22 + 4) = 11.7 kwh.

[0281] If the energy consumption of Operator A and the energy consumption of Operator B are calculated based on formula (15) respectively, and the BBU is the first basic unit, and the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption EC 1_operator = 10 + 3 ÷ (1 + 3) x (20 + 6) = 29.5 kwh, the energy consumption EC 2_operator = 10 + 3 ÷ (1 + 3) x (20 + 6) = 29.5 kwh; for gNB2, the energy consumption EC 1_operator = 9 + 2 ÷ (1 + 2) x (22 + 4) = 26.3 kwh, the energy consumption EC 2_operator = 9 + 1 ÷ (1 + 2) x (22 + 4) = 17.7 kwh.

[0282] If the energy consumption of Operator A and the energy consumption of Operator B are calculated based on formula (16) respectively, and the BBU is the first basic unit, and the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption EC 1_operator = 10 ÷ 2 + 1 ÷ (1 + 3) x (20 + 6) = 11.5 kwh, the energy consumption EC 2_operator = 10 ÷ 2 + 3 ÷ (1 + 3) x (20 + 6) = 24.5 kwh; for gNB2, the energy consumption EC 1_operator = 9 ÷ 2 + 2 ÷ (1 + 2) x (22 + 4) = 21.8 kwh, the energy consumption EC 2_operator = 9 ÷ 2 + 1 ÷ (1 + 2) x (22 + 4) = 13.2 kwh.

[0283] In the performance index data of the base station of the operator is the number of users, and in gNB1, the number of users of Operator A is 10, and the number of users of Operator B is 40; in gNB2, the number of users of Operator A is 20, and the number of users of Operator B is 15.

[0284] If the energy consumption of Operator A and the energy consumption of Operator B are calculated based on formula (14) respectively, for gNB1, the energy consumption EC 1_operator = 10 ÷ (10 + 40) x (10 + 20 + 6) = 7.2 kwh, the energy consumption EC 2_operator= 40 ÷ (10 + 40) × (10 + 20 + 6) = 28.8 kwh; for gNB2, the energy consumption EC of Operator A 1_operator = 20 ÷ (20 + 15) × (9 + 22 + 4) = 20 kwh, the energy consumption EC of Operator B 2_operator = 15 ÷ (20 + 15) × (9 + 22 + 4) = 15 kwh.

[0285] If the energy consumption of Operator A and the energy consumption of Operator B are calculated respectively based on formula (15), and the BBU is the first basic unit, the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption EC of Operator A 1_operator = 10 + 10 ÷ (10 + 40) × (20 + 6) = 15.2 kwh, the energy consumption EC of Operator B 2_operator = 10 + 40 ÷ (10 + 40) × (20 + 6) = 30.8 kwh; for gNB2, the energy consumption EC of Operator A 1_operator = 9 + 20 ÷ (20 + 15) × (22 + 4) = 23.8 kwh, the energy consumption EC of Operator B 2_operator = 9 + 20 ÷ (20 + 15) × (22 + 4) = 20.2 kwh.

[0286] If the energy consumption of Operator A and the energy consumption of Operator B are calculated respectively based on formula (16), and the BBU is the first basic unit, the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption EC of Operator A 1_operator = 10 ÷ 2 + 10 ÷ (10 + 40) × (20 + 6) = 10.2 kwh, the energy consumption EC of Operator B 2_operator = 10 ÷ 2 + 40 ÷ (10 + 40) × (20 + 6) = 25.8 kwh; for gNB2, the energy consumption EC of Operator A 1_operator = 9 ÷ 2 + 20 ÷ (20 + 15) × (22 + 4) = 19.3 kwh, the energy consumption EC of Operator B 2_operator = 9 ÷ 2 + 20 ÷ (20 + 15) × (22 + 4) = 15.7 kwh.

[0287] In the performance index data of the base station of the operator is the average physical resource block occupation number, and in gNB1, the average physical resource block occupation number of Operator A is 100, and the average physical resource block occupation number of Operator B is 200; in gNB2, the average physical resource block occupation number of Operator A is 80, and the average physical resource block occupation number of Operator B is 60.

[0288] If the energy consumption of Operator A and the energy consumption of Operator B are calculated respectively based on formula (14), for gNB1, the energy consumption EC of Operator A 1_operator= 100 ÷ (100 + 200) x (10 + 20 + 6) = 12 kwh, the energy consumption EC of the operator B 2_operator = 200 ÷ (100 + 200) x (10 + 20 + 6) = 24 kwh; for gNB2, the energy consumption EC of the operator A 1_operator = 80 ÷ (80 + 60) x (9 + 22 + 4) = 20 kwh, the energy consumption EC of the operator B 2_operator = 60 ÷ (80 + 60) x (9 + 22 + 4) = 15 kwh.

[0289] If the energy consumption of the operator A and the energy consumption of the operator B are calculated respectively based on formula (15), and the BBU is the first basic unit, the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption EC of the operator A 1_operator = 10 + 100 ÷ (100 + 200) x (20 + 6) = 18.67 kwh, the energy consumption EC of the operator B 2_operator = 10 + 200 ÷ (100 + 200) x (20 + 6) = 27.33 kwh; for gNB2, the energy consumption EC of the operator A 1_operator = 9 + 80 ÷ (80 + 60) x (22 + 4) = 23.85 kwh, the energy consumption EC of the operator B 2_operator = 9 + 60 ÷ (80 + 60) x (22 + 4) = 20.15 kwh.

[0290] If the energy consumption of the operator A and the energy consumption of the operator B are calculated respectively based on formula (16), and the BBU is the first basic unit, the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption EC of the operator A 1_operator = 10 ÷ 2 + 100 ÷ (100 + 200) x (20 + 6) = 13.67 kwh, the energy consumption EC of the operator B 2_operator = 10 ÷ 2 + 200 ÷ (100 + 200) x (20 + 6) = 22.33 kwh; for gNB2, the energy consumption EC of the operator A 1_operator = 9 ÷ 2 + 80 ÷ (80 + 60) x (22 + 4) = 19.35 kwh, the energy consumption EC of the operator B 2_operator = 9 ÷ 2 + 60 ÷ (80 + 60) x (22 + 4) = 15.65 kwh.

[0291] In the performance index data of the base station of the operator is the physical resource block utilization rate, and in gNB1, the physical resource block utilization rate of the operator A is 36%, and the physical resource block utilization rate of the operator B is 72%; in gNB2, the physical resource block utilization rate of the operator A is 29%, and the physical resource block utilization rate of the operator B is 22%.

[0292] If the energy consumption of Operator A and the energy consumption of Operator B are calculated based on formula (14) respectively, for gNB1, the energy consumption of Operator A EC 1_operator = 36% ÷ (36% + 73%) x (10 + 20 + 6) = 12 kwh, and the energy consumption of Operator B EC 2_operator = 73% ÷ (36% + 73%) x (10 + 20 + 6) = 24 kwh; for gNB2, the energy consumption of Operator A EC 1_operator = 29% ÷ (29% + 20%) x (9 + 22 + 4) = 20 kwh, and the energy consumption of Operator B EC 2_operator = 20% ÷ (29% + 20%) x (9 + 22 + 4) = 15 kwh.

[0293] If the energy consumption of Operator A and the energy consumption of Operator B are calculated based on formula (15) respectively, and the BBU is the first basic unit, and the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption of Operator A EC 1_operator = 10 + 36% ÷ (36% + 73%) x (20 + 6) = 18.58 kwh, and the energy consumption of Operator B EC 2_operator = 10 + 73% ÷ (36% + 73%) x (20 + 6) = 27.33 kwh; for gNB2, the energy consumption of Operator A EC 1_operator = 9 + 29% ÷ (29% + 20%) x (22 + 4) = 23.85 kwh, and the energy consumption of Operator B EC 2_operator = 9 + 20% ÷ (29% + 20%) x (22 + 4) = 20.15 kwh.

[0294] If the energy consumption of Operator A and the energy consumption of Operator B are calculated based on formula (16) respectively, and the BBU is the first basic unit, and the RRU and the electromechanical are the second basic unit, for gNB1, the energy consumption of Operator A EC 1_operator = 10 ÷ 2 + 36% ÷ (36% + 73%) x (20 + 6) = 13.58 kwh, and the energy consumption of Operator B EC 2_operator = 10 ÷ 2 + 73% ÷ (36% + 73%) x (20 + 6) = 22.33 kwh; for gNB2, the energy consumption of Operator A EC 1_operator = 9 ÷ 2 + 29% ÷ (29% + 20%) x (22 + 4) = 19.35 kwh, and the energy consumption of Operator B EC 2_operator = 9 ÷ 2 + 20% ÷ (29% + 20%) x (22 + 4) = 15.65 kwh.

[0295] In the base station performance index data of the operator is the wireless resource utilization rate, and in the gNB1, the wireless resource utilization rate of the operator A is 20%, and the wireless resource utilization rate of the operator B is 35%; in the gNB2, the wireless resource utilization rate of the operator A is 13%, and the wireless resource utilization rate of the operator B is 10%.

[0296] If the energy consumption of the operator A and the energy consumption of the operator B are calculated respectively based on formula (14), for the gNB1, the energy consumption EC 1_operator of the operator A is 20% ÷ (20% + 35%) × (10 + 20 + 6) = 13kwh, and the energy consumption EC 2_operator of the operator B is 35% ÷ (20% + 35%) × (10 + 20 + 6) = 23kwh; for the gNB2, the energy consumption EC 1_operator of the operator A is 13% ÷ (13% + 10%) × (9 + 22 + 4) = 30kwh, and the energy consumption EC 2_operator of the operator B is 10% ÷ (13% + 10%) × (9 + 22 + 4) = 15kwh.

[0297] If the energy consumption of the operator A and the energy consumption of the operator B are calculated respectively based on formula (15), and the BBU is the first basic unit, and the RRU and the electromechanical are the second basic unit, for the gNB1, the energy consumption EC 1_operator of the operator A is 10 + 20% ÷ (20% + 35%) × (20 + 6) = 19.45kwh, and the energy consumption EC 2_operator of the operator B is 10 + 35% ÷ (20% + 35%) × (20 + 6) = 26.55kwh; for the gNB2, the energy consumption EC 1_operator of the operator A is 9 + 13% ÷ (13% + 10%) × (22 + 4) = 23.7kwh, and the energy consumption EC 2_operator of the operator B is 9 + 10% ÷ (13% + 10%) × (22 + 4) = 20.3kwh.

[0298] If the energy consumption of the operator A and the energy consumption of the operator B are calculated respectively based on formula (16), and the BBU is the first basic unit, and the RRU and the electromechanical are the second basic unit, for the gNB1, the energy consumption EC 1_operator of the operator A is 10 ÷ 2 + 20% ÷ (20% + 35%) × (20 + 6) = 14.45kwh, and the energy consumption EC 2_operator of the operator B is 10 ÷ 2 + 35% ÷ (20% + 35%) × (20 + 6) = 21.55kwh; for the gNB2, the energy consumption EC 1_operator of the operator A is 9 ÷ 2 + 13% ÷ (13% + 10%) × (22 + 4) = 19.2kwh, and the energy consumption EC 2_operator= 9 ÷ 2 + 10% ÷ (13% + 10%) x (22 + 4) = 15.8 kwh.

[0299] In some embodiments, in the case that the base station performance indicator data of each operator is multiple performance indicator data, the dynamic energy consumption is determined based on the energy consumption affected by each performance indicator data in the base station performance indicator data of each operator.

[0300] If the BBU is a basic unit whose energy consumption is not affected by the base station performance indicator data of the operator, the RRU is a basic unit whose energy consumption is affected by the traffic of the operator, and the transmission device is a basic unit whose energy consumption is affected by the number of users of the operator, that is, the BBU is a first basic unit, and the RRU and the transmission device are second basic units, and in gNB1, the traffic of operator A is 1 GB, and the traffic of operator B is 3 GB; the number of users of operator A is 10, and the number of users of operator B is 40; in gNB2, the traffic of operator A is 2 GB, and the traffic of operator B is 1 GB; the number of users of operator A is 20, and the number of users of operator B is 15.

[0301] In a possible implementation, the energy consumption of the first basic unit is the sum of the energy consumptions of the first basic units, and the energy consumption of operator A and the energy consumption of operator B can be calculated based on formula (18) respectively. For gNB1, the energy consumption EC 1_operator of operator A is 10 + ((1 ÷ (1 + 3) x 20) + (10 ÷ (10 + 40) x 6)) = 16.2 kwh, and the energy consumption EC 2_operator of operator B is 10 + ((3 ÷ (1 + 3) x 20) + (40 ÷ (10 + 40) x 6)) = 29.8 kwh; for gNB2, the energy consumption EC 1_operator of operator A is 9 + ((2 ÷ (1 + 2) x 22) + (20 ÷ (20 + 15) x 4)) = 25.95 kwh, and the energy consumption EC 2_operator of operator B is 9 + ((2 ÷ (1 + 2) x 22) + (15 ÷ (20 + 15) x 4)) = 18.05 kwh.

[0302] In another possible implementation, the energy consumption of the first basic unit is the average energy consumption of the first basic units, and the energy consumption of operator A and the energy consumption of operator B can be calculated based on formula (19) respectively. For gNB1, the energy consumption EC 1_operator of operator A is (10 ÷ 2) + ((1 ÷ (1 + 3) x 20) + (10 ÷ (10 + 40) x 6)) = 11.2 kwh, and the energy consumption EC 2_operator of operator B is (10 ÷ 2) + ((1 ÷ (1 + 3) x 20) + (10 ÷ (10 + 40) x 6)) = 24.8 kwh; for gNB2, the energy consumption EC 1_operator= (9÷2)+((2÷(1+2)×22)+(20÷(20+15)×4))=21.45kWh, Operator B's energy consumption EC 2_operator =(9÷2)+((2÷(1+2)×22)+(15÷(20+15)×4))=13.55kwh;

[0303] S506. Based on the base station energy consumption consumed by operator A and operator B, determine the energy consumption consumed by operator A and operator B on the access network side, respectively.

[0304] In some embodiments, the energy consumption of each operator on the access network side is the sum of the energy consumption of each operator's different base stations.

[0305] For example, the energy consumption of each operator on the access network side can be determined based on formula (21).

[0306] For example, if the base station energy consumption of operator A and operator B is determined based on formula (12), then the energy consumption EC of operator A on the access network side is... RAN_1_operator =18 + 17.5 = 35.5 kWh, the energy consumption EC of operator A on the access network side. RAN_2_operator =18+17.5=35.5kWh.

[0307] If the base station energy consumption of operator A and operator B is determined based on formula (14), then the energy consumption EC of operator A on the access network side is... RAN_1_operator =9 + 23.3 = 32.3 kWh, the energy consumption EC of operator A on the access network side. RAN_2_operator =27 + 11.7 = 38.7 kWh.

[0308] S507. Based on the energy consumption consumed by each operator on the core network side and the energy consumption consumed by each operator on the access network side, determine the energy consumption consumed by operator A and operator B in the network sharing scenario, respectively.

[0309] In some embodiments, the energy consumption of each operator in a network sharing scenario is the sum of the energy consumption of each operator on the core network side and the energy consumption of each operator on the access network side.

[0310] For example, the energy consumption of each operator in a network sharing scenario can be determined based on formula (5).

[0311] For example, if the target network element energy consumption of operator A and operator B is determined based on formula (6), and the base station energy consumption of operator A and operator B is determined based on formula (12), then the energy consumption EC of operator A in the network sharing scenario is... 5GC_INS_1_operator= 2.7 + 35.5 = 38.2 kwh; the energy consumption EC consumed by Operator B in the network sharing scenario 5GC_INS_2_operator = 2.7 + 35.5 = 38.2 kwh.

[0312] If the target network element energy consumption consumed by Operator A and Operator B is determined based on formula (8), and the base station energy consumption consumed by Operator A and Operator B is determined based on formula (14), the energy consumption EC consumed by Operator A in the network sharing scenario 5GC_INS_1_operator = 0.86 + 32.3 = 33.16 kwh; the energy consumption EC consumed by Operator B in the network sharing scenario 5GC_INS_2_operator = 1.84 + 38.7 = 40.54 kwh.

[0313] S508, respectively determine the energy efficiency of Operator A and Operator B in the indirect sharing scenario.

[0314] In some embodiments, the energy efficiency of each operator in the indirect sharing scenario can be determined based on the ratio between the network performance indicator data of each operator and the energy consumption consumed by each operator in the network sharing scenario.

[0315] For example, the energy efficiency of Operator A and Operator B in the indirect sharing scenario can be respectively determined based on formula (1).

[0316] For example, if the target network element energy consumption consumed by Operator A and Operator B is determined based on formula (6), and the base station energy consumption consumed by Operator A and Operator B is determined based on formula (12).

[0317] When the network performance indicator data of each operator is the number of users in the access network side performance indicator data, and the number of users of Operator A in gNB1 is 10 and the number of users of Operator B is 40; in gNB2, the number of users of Operator A is 20 and the number of users of Operator B is 15. The number of users in the access network side performance indicator data of Operator A is 25, and the number of users in the access network side performance indicator data of Operator B is 17.5. The energy efficiency EE of Operator A in the indirect sharing scenario 5GC_INS_1_operator = 25 ÷ 38.2 = 0.654 users / kwh; the energy efficiency EE of Operator B in the indirect sharing scenario 5GC_INS_2_operator = 17.5 ÷ 38.2 = 0.458 users / kwh.

[0318] When the network performance indicator data of each operator is the number of users in the core network side performance indicator data, and the number of users of Operator A is 30 and the number of users of Operator B is 60. The energy efficiency EE of Operator A in the indirect sharing scenario 5GC_INS_1_operator = 30 ÷ 38.2 = 0.785 users / kwh; the energy efficiency EE of Operator B in the indirect sharing scenario5GC_INS_2_operator = 60 ÷ 38.2 = 1.57 user / kwh.

[0319] The technical solutions provided by the above embodiments bring at least the following beneficial effects. The energy efficiency determination method provided by the present application can determine the energy efficiency of each network object in an indirect sharing scenario based on the energy consumption of each network object in a network sharing scenario and the network performance index data of each network object. The energy efficiency of each network object in the indirect sharing scenario can be standardized, which not only helps the network object to accurately evaluate the network resource utilization effect in the indirect sharing scenario, but also helps the network object to perform network resource management and energy efficiency optimization, so as to plan appropriate energy-saving strategies, reduce operating costs and improve network performance.

[0320] It can be seen that the above mainly introduces the solutions provided by the embodiments of the present application from the perspective of method. In order to realize the above functions, the embodiments of the present application provide corresponding hardware structures and / or software modules for executing various functions. Those skilled in the art should easily realize that the modules and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is realized in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solutions. Professional technicians can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0321] The embodiments of the present application can divide the functional modules of the energy consumption determination apparatus according to the above method examples. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated in one processing module. The integrated module can be realized in the form of hardware or software functional module. Optionally, the division of modules in the embodiments of the present application is illustrative, and is only a logical functional division. When actually implemented, there can be another division manner.

[0322] In some embodiments, the present application further provides an energy consumption determination apparatus. The energy consumption determination apparatus can include one or more functional modules for realizing the energy efficiency determination method of the above method embodiments.

[0323] For example, Figure 8 A composition schematic diagram of an energy consumption determination apparatus provided by the embodiments of the present application is shown. As shown in the figure, Figure 8 The energy efficiency determination apparatus 800 includes a determination module 801.

[0324] The determining module 801 is configured to determine, for each network object in the at least one network object, an energy efficiency of the each network object in the network sharing scenario based on at least the energy consumption of the each network object in the network sharing scenario and the network performance indicator data of the each network object.

[0325] In some embodiments, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between the network performance indicator data of the each network object and the energy consumption of the each network object in the network sharing scenario.

[0326] In some other embodiments, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0327]

[0328] wherein EE 5GC_INS_i_operator represents the energy efficiency of an i-th network object in the at least one network object in the indirect sharing scenario, Perf i represents the network performance indicator data of the i-th network object, EC 5GC_INS_i_operator represents the energy consumption of the i-th network object in the network sharing scenario.

[0329] In yet some other embodiments, the network performance indicator data of each network object is a plurality of network performance indicator data, and the determining module 801 is specifically configured to determine the energy efficiency of each network object in the indirect sharing scenario based on the energy consumption of the each network object in the network sharing scenario, the network performance indicator data of the each network object and a weight of each network performance indicator data.

[0330] In yet some other embodiments, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between a weighted sum of the plurality of network performance indicator data of the each network object and the energy consumption of the each network object in the network sharing scenario.

[0331] In yet some other embodiments, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0332]

[0333] wherein EE 5GC_INS_i_operator represents the energy efficiency of an i-th network object in the at least one network object in the indirect sharing scenario, Perf i,j represents the j-th network performance indicator data of the i-th network object, w j is a weight of the j-th network performance indicator data, EC 5GC_INS_i_operator represents the energy consumption of the i-th network object in the network sharing scenario.

[0334] In some embodiments, the same network performance indicator data corresponding to different network objects have different weights.

[0335] In some embodiments, the network performance indicator data of each network object is a plurality of groups of network performance indicator data, each group of network performance indicator data including at least one network performance indicator data, and the determining module 801 is specifically configured to determine the energy efficiency of each network object in the indirect sharing scenario based on the energy consumption of each network object in the network sharing scenario, the plurality of groups of network performance indicator data of each network object, and the weights of each group of network performance indicator data.

[0336] In some embodiments, the energy efficiency of each network object in the indirect sharing scenario is determined based on a ratio between the energy consumption of each network object in the network sharing scenario and a weighted sum of the combined value of each group of network performance indicator data of each network object and the weights of each group of network performance indicator data.

[0337] In some embodiments, the combined value of each group of network performance indicator data is determined based on a product of the at least one network performance indicator data included in each group of network performance indicator data.

[0338] In some embodiments, the energy efficiency of each network object in the indirect sharing scenario satisfies the following formula:

[0339]

[0340] wherein EE 5GC_INS_i_operator represents the energy efficiency of the i th network object in the indirect sharing scenario, PerfG i,k represents the combined value of the k th group of network performance indicator data of the i th network object, w k is the weight of the k th group of network performance indicator data, and EC 5GC_INS_i_operator represents the energy consumption of the i th network object in the network sharing scenario.

[0341] In some embodiments, the network sharing scenario includes an access network side and a core network side, and before determining the energy efficiency of each network object in the network sharing scenario, the determining module 801 is further configured to determine the energy consumption of each network object in the network sharing scenario based on the energy consumption of each network object in the core network side and the energy consumption of each network object in the access network side.

[0342] In some embodiments, the network performance indicator data of each network object includes at least one of the following: access network side performance indicator data, core network side performance indicator data, and end-to-end performance indicator data.

[0343] In yet some embodiments, the access network side performance indicator data comprises at least one of: traffic, number of users, number of physical resource block occupation, number of data packets, reliability, latency, rate, bandwidth.

[0344] In yet some embodiments, the core network side performance indicator data comprises at least one of: traffic, number of users, number of protocol data unit sessions, number of data packets, reliability, latency, rate, bandwidth, data volume of input / output interface.

[0345] In yet some embodiments, the end-to-end performance indicator data comprises at least one of: end-to-end latency, inverse of end-to-end latency, end-to-end rate, end-to-end reliability, end-to-end traffic.

[0346] In yet some embodiments, the network object comprises at least one of: operator, network slice, quality of service granularity, network standard, service type, terminal type, bandwidth part.

[0347] In case of implementing the functions of the above integrated modules in the form of hardware, the embodiments of the present application provide a possible structural schematic diagram of the electronic device involved in the above embodiments. As shown in the figure, the electronic device 900 comprises a processor 902, a communication interface 903 and a bus 904. Optionally, the electronic device 900 can further comprise a memory 901. Figure 9

[0348] The processor 902 can be various exemplary logical blocks, modules and circuits described in combination with the disclosure of the present application. The processor 902 can be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, transistor logic device, hardware component or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure of the present application. The processor 902 can also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of DSP and microprocessor, etc.

[0349] The communication interface 903 is used to connect with other devices through a communication network. The communication network can be Ethernet, wireless access network, wireless local area network (WLAN) and the like.

[0350] ​The memory 901 can be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to this.

[0351] As a possible implementation, the memory 901 can exist independently of the processor 902, and the memory 901 can be connected to the processor 902 through the bus 904 for storing instructions or program codes. When the processor 902 invokes and executes the instructions or program codes stored in the memory 901, the energy efficiency determination method provided by the embodiments of the present application can be implemented.

[0352] In another possible implementation, the memory 901 can also be integrated with the processor 902.

[0353] The bus 904 can be an extended industry standard architecture (EISA) bus or the like. The bus 904 can be divided into an address bus, a data bus, a control bus, and the like. For the sake of brevity and simplicity, Figure 9 Only one thick line is used to represent the bus in the figure, but it does not mean that there is only one bus or only one type of bus.

[0354] Through the description of the above embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the above division of functional modules is taken as an example for illustration, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the service calling device is divided into different functional modules to complete all or part of the functions described above.

[0355] The embodiments of the present application further provide a computer readable storage medium. All or part of the processes in the method embodiments above can be instructed by computer instructions to complete relevant hardware, and the program can be stored in the computer readable storage medium. When the program is executed, the program can include the processes of the method embodiments above. The computer readable storage medium can be the memory of any of the foregoing embodiments. The computer readable storage medium can also be an external storage device of the service calling device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the computer readable storage medium can include both the internal storage unit of the service calling device and the external storage device. The computer readable storage medium is used to store the computer program and other programs and data required by the service calling device. The computer readable storage medium can also be used to temporarily store data that has been output or will be output.

[0356] The embodiments of the present application further provide a computer program product, which contains a computer program, and when the computer program product runs on a computer, the computer program product makes the computer execute any one of the energy efficiency determination methods provided in the embodiments.

[0357] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited to this. Any change or replacement within the technical scope disclosed in the present application should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for determining energy efficiency, the method comprising: The method is applied to a network sharing scenario for providing wireless network resources for at least one network object, and comprises the following steps: For each network object in the at least one network object, energy efficiency of the each network object in the network sharing scenario is determined based on at least consumed energy of the each network object in the network sharing scenario and network performance index data of the each network object; The consumed energy of the each network object in the network sharing scenario is a sum of consumed energy of the each network object at a core network side and consumed energy of the each network object at an access network side; The access network side comprises at least one base station, and the consumed energy of the each network object at the access network side is a sum of consumed energy of at least one base station of the each network object; The core network side comprises at least one target network element, and the consumed energy of the each network object at the core network side is a sum of consumed energy of at least one target network element of the each network object; For the at least one target network element at the core network side, the consumed energy of the each network object at the core network side is determined based on consumed network element energy of the each network object; At the core network side, the consumed network element energy of the each network object is determined based on energy affected by each performance index data in network element performance index data of the each network object; wherein the network element performance index data comprises target performance index data, the energy affected by the target performance index data is determined based on a product of an index proportion of the target performance index data and a weight of the target performance index data, and a total energy of the target network element; and the index proportion of the target performance index data is used to indicate a proportion of the target performance index data of the each network object in a sum of target performance index data of the at least one network object.

2. The method of claim 1, wherein, The energy efficiency of the each network object in the network sharing scenario is determined based on a ratio between the network performance index data of the each network object and the consumed energy of the each network object in the network sharing scenario.

3. The method of claim 2, wherein, The energy efficiency of the each network object in the network sharing scenario satisfies the following formula: wherein, represents the energy efficiency of the i-th network object in the network sharing scenario, and the represents the network performance indicator data of the i-th network object, and the represents the energy consumption of the i-th network object in the network sharing scenario.

4. The method of claim 1, wherein, The network performance index data of the each network object is a plurality of network performance index data, and the determination of the energy efficiency of the each network object in the network sharing scenario based on at least the consumed energy of the each network object in the network sharing scenario and the network performance index data of the each network object comprises the following steps: The energy efficiency of the each network object in the network sharing scenario is determined based on the consumed energy of the each network object in the network sharing scenario, the network performance index data of the each network object, and a weight of each network performance index data.

5. The method of claim 4, wherein, The energy efficiency of the each network object in the network sharing scenario is determined based on a ratio between a weighted sum of the plurality of network performance index data of the each network object and the consumed energy of the each network object in the network sharing scenario.

6. The method of claim 5, wherein, The energy efficiency of the each network object in the network sharing scenario satisfies the following formula: wherein, represents the energy efficiency of the i-th network object in the network sharing scenario, and the represents the j-th network performance indicator data of the i-th network object, is a weight of the j-th network performance indicator data, and the represents the energy consumption of the i-th network object in the network sharing scenario.

7. The method of claim 4, wherein, Different network objects correspond to the same network performance indicator data with different weights.

8. The method of claim 1, wherein, The network performance indicator data of each network object is a plurality of sets of network performance indicator data, each set of network performance indicator data including at least one network performance indicator data, and the energy efficiency of each network object in the network sharing scenario is determined based on at least the energy consumption of each network object in the network sharing scenario and the network performance indicator data of each network object, including: The energy efficiency of each network object in the network sharing scenario is determined based on the energy consumption of each network object in the network sharing scenario, the plurality of sets of network performance indicator data of each network object, and the weight of each set of network performance indicator data.

9. The method of claim 8, wherein, The energy efficiency of each network object in the network sharing scenario is determined based on the ratio between the weighted sum of the combined value of each set of network performance indicator data of each network object and the weight of each set of network performance indicator data and the energy consumption of each network object in the network sharing scenario.

10. The method of claim 9, wherein, The combined value of each set of network performance indicator data is determined based on the product of at least one network performance indicator data included in each set of network performance indicator data.

11. The method of claim 10, wherein, The energy efficiency of each network object in the network sharing scenario satisfies the following formula: wherein, represents the energy efficiency of the i-th network object in the network sharing scenario, represents a combined value of the k-th group of network performance indicator data of the i-th network object, is a weight of the k-th group of network performance indicator data, and represents the energy consumption of the i-th network object in the network sharing scenario.

12. The method of claim 1, wherein, The network sharing scenario includes an access network side and a core network side, and before determining the energy efficiency of each network object in the network sharing scenario, the method further includes: The energy consumption of each network object in the network sharing scenario is determined based on the energy consumption of each network object in the core network side and the energy consumption of each network object in the access network side.

13. The method of claim 1, wherein, The network performance indicator data of each network object includes at least one of the following:

14. The method of claim 13, wherein, Traffic, number of users, number of physical resource blocks, number of data packets, reliability, latency, rate, bandwidth. The core network side performance indicator data includes at least one of the following:

15. The method of claim 13, wherein, Traffic, number of users, number of protocol data unit sessions, number of data packets, reliability, latency, rate, bandwidth, data volume of input / output interface. The end-to-end performance indicator data includes at least one of the following:

16. The method of claim 13, wherein, End-to-end latency, end-to-end latency reciprocal, end-to-end rate, end-to-end reliability, end-to-end traffic. The network object includes at least one of the following:

17. The method of claim 1, wherein, Operator, network slice, quality of service granularity, network standard, service type, terminal type, bandwidth part.

18. An electronic device, comprising: The computer device includes a processor and a memory, the processor is coupled to the memory, the memory is used to store computer instructions, the computer instructions are loaded and executed by the processor to enable the computer device to implement the energy efficiency determination method according to any one of claims 1 to 17.

19. A computer-readable storage medium, characterized in that, The computer readable storage medium includes computer execution instructions, when the computer execution instructions run on the computer, the computer execution instructions enable the computer to execute the energy efficiency determination method according to any one of claims 1 to 17.

20. A computer program product, characterised in that, The computer program product comprises a computer program which, when running on an electronic device, causes the electronic device to perform the energy efficiency determination method according to any one of claims 1 to 17.

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