Network node, base station, and communication method

Abstract

This network node comprises: a control unit for dynamically deciding a filtering condition for measurement data that is collected from a terminal; a transmission unit for transmitting the filtering condition to a base station; and a reception unit for receiving, from the base station, quality data including at least a portion of information on a measurement result from data measurement satisfying the filtering condition.

Description

Network Node, Base Station, and Communication Method

[0001] The present invention relates to a network node, a base station, and a communication method in a communication system.

[0002] In a wireless communication system NR (New Radio) (also referred to as "5G") and a successor system of NR (for example, "6G") based on the 3GPP (registered trademark) standard, technologies that satisfy requirements such as a large-capacity system, high-speed data transmission speed, low latency, simultaneous connection of a large number of terminals, low cost, and power saving are being studied (for example, Non-Patent Document 1).

[0003] Also, network architectures in 5GC (5G Core Network) or 5GS (5G System), which is the core network in 5G, and 6GC (6G Core Network) or 6GS (6G System), which is a successor to 5G, are being studied.

[0004] Further, in the O-RAN (Open Radio Access Network) Alliance, since the number of applications (xApp / rApp) operating on the RAN (Radio Access Network) Intelligent Controller in the O-RAN architecture is increasing, network optimization by such applications is required.

[0005] 3GPP TS 38.300 V18.3.0 (2024-09)

[0006] In the filtering of measurement data collected by a base station from a terminal, a conventional method has a problem that it cannot respond immediately to changes in the network situation and requirements of an application (xApp / rApp). As a result, necessary data cannot be collected in a timely manner, unnecessary data compresses network resources, and it is difficult to improve the accuracy of an artificial intelligence / machine learning model and perform real-time network optimization.

[0007] The present invention has been made in view of the above points, and aims to realize the filtering of measurement data that can respond immediately to changes in network conditions and requests from applications (xApp / rApp) in a wireless communication network.

[0008] According to the disclosed technology, a network node is provided, comprising: a control unit that dynamically determines filtering conditions for measurement data collected from a terminal; a transmission unit that transmits the filtering conditions to a base station; and a receiving unit that receives quality data from the base station, which includes at least some information in the measurement results of data measurements that satisfy the filtering conditions.

[0009] According to the disclosed technology, it is possible to achieve filtering of measurement data in a wireless communication network that can respond immediately to changes in network conditions and application (xApp / rApp) requests.

[0010] This figure shows an example configuration (1) of a wireless communication system in an embodiment of the present invention. This figure shows an example configuration (2) of a wireless communication system in an embodiment of the present invention. This figure shows an example of a logical architecture in O-RAN. This figure shows an example of a sequence diagram (1) in an embodiment of the present invention. This figure shows an example of a sequence diagram (2) in an embodiment of the present invention. This figure shows an example of a sequence diagram (3) in an embodiment of the present invention. This figure shows an example of the functional configuration of a base station 10 and a network node 30 in an embodiment of the present invention. This figure shows an example of the functional configuration of a terminal 20 in an embodiment of the present invention. This figure shows an example of the hardware configuration of a base station 10 and a terminal 20 in an embodiment of the present invention. This figure shows an example of the configuration of a vehicle 2001 in an embodiment of the present invention.

[0011] Embodiments of the present invention will be described below with reference to the drawings. Note that the embodiments described below are examples, and the embodiments to which the present invention is applied are not limited to those described below.

[0012] In the operation of the wireless communication system according to the embodiment of the present invention, existing technologies may be used as appropriate. However, such existing technologies may include, for example, existing LTE or existing NR, but are not limited to existing LTE or NR.

[0013] Furthermore, in the embodiments of the present invention described below, terms such as SS (Synchronization signal), PSS (Primary SS), SSS (Secondary SS), PBCH (Physical broadcast channel), PRACH (Physical random access channel), PDCCH (Physical Downlink Control Channel), PDSCH (Physical Downlink Shared Channel), PUCCH (Physical Uplink Control Channel), and PUSCH (Physical Uplink Shared Channel), which are used in existing LTE systems, will be used. This is for convenience of description, and similar signals, functions, etc., may be called by other names. Also, the above terms in NR correspond to NR-SS, NR-PSS, NR-SSS, NR-PBCH, NR-PRACH, etc. However, even if a signal is used in NR, it is not necessarily explicitly stated as "NR-".

[0014] Furthermore, in the embodiments of the present invention, the duplex system may be a TDD (Time Division Duplex) system, an FDD (Frequency Division Duplex) system, or any other system (for example, a Flexible Duplex).

[0015] Furthermore, in embodiments of the present invention, "configuring" wireless parameters means that predetermined values ​​are pre-configured, or that wireless parameters notified from the base station 10 or terminal 20 are configured. Also, in the following description, " / " means "and / or" unless otherwise specified, or unless it is clear from the context that it has a different meaning.

[0016] Figure 1 shows an example configuration (1) of a wireless communication system according to an embodiment of the present invention. The wireless communication system according to an embodiment of the present invention includes a base station 10 and a terminal 20, as shown in Figure 1. Figure 1 shows one base station 10 and one terminal 20, but this is an example, and there may be multiple base stations 10 and terminals 20.

[0017] Base station 10 is a communication device that provides one or more cells and communicates wirelessly with terminal 20. The physical resources of the wireless signal are defined in the time domain and the frequency domain. The time domain may be defined by the number of OFDM (Orthogonal Frequency Division Multiplexing) symbols, and the frequency domain may be defined by the number of subcarriers or resource blocks. Base station 10 transmits synchronization signals and system information to terminal 20. Synchronization signals are, for example, NR-PSS and NR-SSS. System information is transmitted, for example, in NR-PBCH and is also called broadcast information. Synchronization signals and system information may also be called SSB (SS / PBCH block). As shown in Figure 1, base station 10 transmits control signals or data to terminal 20 via DL (Downlink) and receives control signals or data from terminal 20 via UL (Uplink). Both base station 10 and terminal 20 are capable of transmitting and receiving signals using beamforming. Furthermore, both the base station 10 and the terminal 20 can apply MIMO (Multiple Input Multiple Output) communication to DL or UL. Also, both the base station 10 and the terminal 20 may communicate via Carrier Aggregation (CA) through secondary cells (SCell) and primary cells (PCell). Additionally, the terminal 20 may communicate via Dual Connectivity (DC) through the primary cell of base station 10 and the primary secondary cell group cell (PSCell) of another base station 10.

[0018] Terminal 20 is a communication device equipped with wireless communication capabilities, such as a smartphone, mobile phone, tablet, wearable device, or M2M (Machine-to-Machine) communication module. As shown in Figure 1, Terminal 20 receives control signals or data from the base station 10 via DL and transmits control signals or data to the base station 10 via UL, thereby utilizing various communication services provided by the wireless communication system. Terminal 20 also receives various reference signals transmitted from the base station 10 and performs propagation path quality measurement based on the reception results of said reference signals.

[0019] Furthermore, various requirements are being considered for the next generation of 6G. For example, these requirements may include ultra-broadband communication, mission-critical communication, ultra-massive connection, universal coverage, intelligent connection, and ubiquitous sensing.

[0020] Furthermore, these requirements may include ultra-high-speed communication, large-capacity communication, ultra-wide coverage, ultra-low power consumption, cost reduction, ultra-low latency, ultra-high reliability communication, ultra-high connectivity, and sensing.

[0021] To meet these requirements, the new concept aims for extensibility (e.g., making it more effective for future use), ease of operation, customizability (e.g., making it easier to operate), and sustainability (e.g., cost reduction, a more robust configuration, and resilience). Furthermore, guaranteed communication, ensuring a minimum level of performance at all times, is being considered.

[0022] Figure 2 shows an example configuration (2) of a wireless communication system according to an embodiment of the present invention. Figure 2 shows an example configuration of a wireless communication system when DC (Dual connectivity) is performed. As shown in Figure 2, a base station 10A that will be an MN (Master Node) and a base station 10B that will be an SN (Secondary Node) are provided. Base stations 10A and 10B are each connected to the core network. Terminal 20 can communicate with both base station 10A and base station 10B.

[0023] A cell group provided by base station 10A, which is an MN (Mobile Network), is called an MCG (Master Cell Group), and a cell group provided by base station 10B, which is an SN (Mobile Network), is called an SCG (Secondary Cell Group). In a data center, an MCG consists of one PCell and one or more SCells, and an SCG consists of one PSCell (Primary SCG Cell) and one or more SCells.

[0024] Figure 3 shows an example of the logical architecture in O-RAN. As shown in Figure 3, at base station 10, distributed units (O-DUs) and radio units (O-RUs) are connected via an open fronthaul interface. This interface also transmits and receives control signals, user data, and synchronization signals in the open fronthaul control / user / synchronization plane (Open FH CUS-Plane), and management signals in the open fronthaul management plane (Open FH M-Plane). Furthermore, the Service Management and Orchestration (SMO), which manages and integrates services, communicates with the O-RUs via the Open FH M-Plane, with the O-DUs via the O1 interface, and with the O-Cloud via the O2 interface. Furthermore, the Non-Real Time RIC (RAN Intelligent Controller) in the SMO communicates with the Near-Real Time RIC via the A1 interface. The O-CU control plane (O-CU-CP) and the O-CU user plane (O-CU-UP) communicate with the O-DU via the F1-c and F1-u interfaces, respectively. The Near-Real Time RIC communicates with the O-DU and O-CU-CP, etc., via the E2 interface. Additionally, the rApp, an application running in the Non-Real Time RIC, performs processing related to network operation and management, while the xApp, running in the Near-Real Time RIC, performs processing related to network optimization.

[0025] O-DU, O-CU, O-RU, SMO, and RIC may be deployed on the same base station, on different base stations, or in different locations other than base stations (nearby, remote, etc.). They may be treated as base station equipment or as network nodes. Furthermore, O-DU and O-CU may be deployed on a virtualization infrastructure and may be denoted as vDU (virtual DU) and vCU (virtual CU), for example.

[0026] In filtering measurement data collected by base stations from terminals, conventional methods have a problem in that filtering conditions (hereinafter, may simply be referred to as conditions) are set statically, making it impossible to respond immediately to changes in network conditions and requests from applications (xApp / rApp). In other words, filtering conditions are set in advance and are fixed, and even if network conditions or service requests change during operation, these conditions cannot be changed or adjusted immediately. For example, once a threshold for a specific cell load or terminal signal strength is set, the conditions are basically not updated and the same conditions continue to be used for long periods of time, such as several hours or days. Furthermore, when changes in network conditions occur (e.g., a sudden increase in traffic in a specific area, the occurrence of an event, a deterioration in the quality of a specific UE), or when a data request is made by an application (xApp / rApp) (e.g., information on low-throughput terminals for the last 5 minutes is needed to improve the quality of a specific service), the filtering conditions cannot be changed or adjusted immediately, and as a result, the necessary data cannot be collected in a timely manner. In other words, the reflection of condition changes is delayed or not reflected at all, making it difficult to acquire data in response to real-time requests. As a result, necessary data could not be collected in a timely manner, unnecessary data strained network resources, and it became difficult to improve the accuracy of artificial intelligence / machine learning models and perform real-time network optimization.

[0027] Therefore, conventional methods, when collecting measurement data under static and simple conditions, fail to efficiently collect necessary data because they acquire irrelevant data when the network load increases. Furthermore, they cannot handle multiple conditions simultaneously (cell load, area, service type, event presence / absence, terminal signal strength, etc.), making it difficult to extract optimal data under complex hierarchical and logical conditions. In addition, because all filtering is done on the base station side without utilizing terminal attributes (battery, mobile status, etc.), the load is concentrated and the accuracy is limited.

[0028] To solve the problems of conventional methods, the following methods are used in embodiments of the present invention. In the methods and embodiments shown below, the processing by SMO and the processing by Non-RT RIC (rApp) may be treated as processing by a single network node.

[0029] (Method 1) Dynamic Condition Generation (Utilizing AI / ML) SMO and rApp use artificial intelligence / machine learning models to dynamically generate filtering conditions related to cell load / terminal signal strength thresholds, etc., based on past data. This makes it possible to collect measurement data under optimal conditions according to the network situation.

[0030] (Method 2) Hierarchical and Logical Filtering By using hierarchical conditions at the cell level and terminal level, logical operations such as AND / OR, and priority settings, it is possible to efficiently process complex conditions such as "(cell load ≥ threshold AND urban area) OR (specific event cell)" and reduce the processing load. This is because performing a detailed analysis on all terminals at once would result in high processing costs (CPU, memory consumption, etc.), but by performing hierarchical processing, for example, by first extracting target cells using higher-level conditions and then performing processing on a limited number of terminals, it is possible to reduce processing costs.

[0031] (Method 3) The terminal side filtering determination terminal is notified via RRC message with conditions such as "report data if battery is 20% or more and moving at a low speed," and the terminal side determines whether or not to report the measurement data. This makes it possible to reduce unnecessary measurement data by utilizing terminal attributes.

[0032] (Method 4) Utilization of each interface (O1, A1, E2, R1, etc.) The SMO sends filtering conditions to the O-CU / O-DU via the O1 interface. The SMO also sends measurement data acquired from the terminal to the rApp via the R1 interface. The rApp sends policies to the xApp via the A1 interface. The xApp sends resource allocation instructions to the O-CU / O-DU via the E2 interface. By utilizing these interfaces, flexible and integrated control is possible.

[0033] (Example 1) In this example, filtering conditions such as cell load and terminal signal strength thresholds are dynamically generated using an artificial intelligence / machine learning model, and the SMO30A, Non-RT RIC30B(rApp), Near-RT RIC30C(xApp), O-CU / O-DU10A, and O-RU10B perform coordinated operations via the O1, A1, E2, and R1 interfaces.

[0034] The details of the process in this embodiment will be explained below using sequence diagrams. Figure 4 shows an example of a sequence diagram (1) in an embodiment of the present invention. The process of each step in Figure 4 will be explained below.

[0035] S101: SMO30A / Non-RT RIC30B uses an artificial intelligence / machine learning (AI / ML) model to determine filtering conditions for data measurement based on previously collected data (historical data). Here, SMO30A may determine the conditions and transmit the determined conditions to Non-RT RIC30B. Alternatively, SMO30A may instruct Non-RT RIC30B to determine the conditions, and Non-RT RIC30B may determine the conditions. The AI / ML model may be, for example, one based on learning by backpropagation using a neural network. The historical data may be, for example, previously collected data (e.g., the past month) regarding cell load / terminal signal strength per cell / per time period, and the degree of improvement according to the treatment.

[0036] As a filtering condition, for example, when the cell load exceeds 80%, terminals with low terminal signal strength on average experience a significant decrease in throughput, leading to a deterioration in service quality. Furthermore, terminals with a terminal signal strength of -100 dBm or less are likely to be prioritized for optimization during high loads, resulting in a high quality improvement effect. Therefore, a condition may be established to "prioritize the collection of measurement data from terminals with a terminal signal strength of -100 dBm or less when the cell load exceeds 80%." Here, the load percentage (e.g., 80%) may be, for example, the ratio of the current traffic volume to the maximum traffic volume that can be processed.

[0037] The purpose of filtering may be to collect information about cells / devices that need improvement by time of day / region, or it may be to acquire big data.

[0038] S102: The Non-RT RIC30B transmits the filtering conditions determined in S101 to the O-DU / O-CU10A via the O1 interface. These filtering conditions may include, for example, a condition relating to the base station (cell) load and terminal signal strength, such as "Prioritize the collection of measurement data from terminals 20 with a terminal signal strength of -100dBm or less when the cell load is 80% or more," which can be set as "cellLoadThreshold=80%, ueSignalStrengthThreshold=-100dBm."

[0039] Furthermore, the Non-RT RIC30B may periodically send filtering conditions based on conditions related to time period / target area, etc.

[0040] S103: The O-DU / O-CU10A detects whether the conditions regarding cell load are met based on the filtering conditions received in S102. For example, the O-DU / O-CU10A detects that the condition is met if the current traffic volume exceeds the threshold of the condition (e.g., 80%) relative to the maximum traffic volume.

[0041] Furthermore, when the O-DU / O-CU10A detects that the conditions are met, it may decide to select a terminal 20 to acquire measurement data and to send a measurement instruction to the terminal 20. For example, the O-DU / O-CU10A may select a terminal with a terminal signal strength of -100 dBm or less as the terminal 20 to acquire measurement data. Furthermore, when the O-DU / O-CU10A detects that the conditions are not met, it may decide to send a measurement instruction to the terminal 20 to stop the measurement of measurement data.

[0042] S104: The O-DU / O-CU10A transmits instructions to multiple terminals 20 via the O-RU10B to perform data measurement (measurement execution instructions). These instructions include the conditions for the terminals 20 to perform data measurement (for example, terminal signal strength of -100 dBm or less) which are included in the filtering conditions received in S102.

[0043] S105: When terminal 20 receives a measurement execution instruction in S104, if it satisfies the conditions for executing the data measurement included in the instruction (for example, terminal signal strength -100 dBm or less), it executes the data measurement and transmits the measurement results, including the measured data, to O-DU / O-CU10A via O-RU10B. Here, the data measurement may be the same as the data measurement performed in the existing specifications, and may include measurements of Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Received Signal Strength Indicator (RSSI), Signal to Noise Ratio (SNR), Signal to Interference plus Noise Ratio (SINR), and throughput. The measurement results may also include a Channel State Information (CSI) report including the Modulation and Coding Scheme and Rank Indicator (RI).

[0044] S106: The O-DU / O-CU 10A selects, from the measurement results received in S105, the measurement results that satisfy the filtering conditions received in S102, and extracts all or part of the information of the selected measurement results as quality data.

[0045] Hereinafter, two modifications regarding the extraction of quality data executed in S104 to S106 will be described.

[0046] (Modification 1) S104: The O-DU / O-CU 10A transmits, via the O-RU 10B, an instruction (measurement execution instruction) to execute data measurement to a plurality of terminals 20. The instruction includes a condition under which the terminal 20 does not execute data measurement (for example, exceeding a terminal signal strength of -100 dBm).

[0047] S105: When the terminal 20 that has received the measurement execution instruction in S104 does not satisfy the condition under which the data measurement included in the instruction is not executed (for example, exceeding a terminal signal strength of -100 dBm), the terminal 20 executes data measurement and transmits, via the O-RU 10B, a measurement result including the measured data to the O-DU / O-CU 10A.

[0048] S106: The O-DU / O-CU 10A selects, from the measurement results received in S105, the measurement results that satisfy the filtering conditions received in S102, and extracts all or part of the information of the selected measurement results as quality data.

[0049] (Modification 2) S104: The O-DU / O-CU 10A transmits, via the O-RU 10B, an instruction (measurement execution instruction) to execute data measurement to a plurality of terminals 20. The instruction does not include a condition under which the terminal 20 executes data measurement. Further, the instruction may include an instruction to include information regarding the terminal signal strength.

[0050] S105: The terminal 20 that has received the measurement execution instruction in S104 executes data measurement and transmits, via the O-RU 10B, a measurement result including the measured data to the O-DU / O-CU 10A.

[0051] S106: The O-DU / O-CU10A selects measurement results from those received in S105 that satisfy the filtering conditions received in S102, and extracts all or part of the information from the selected measurement results as quality data. For example, the O-DU / O-CU10A selects the measurement results of terminal 20 whose terminal signal strength included in the measurement results satisfies the conditions included in the filtering conditions (e.g., terminal signal strength -100 dBm or less), and extracts all or part of the information from the selected measurement results as quality data.

[0052] Next, the process from S107 onwards in Example 1 will be described.

[0053] S107: O-DU / O-CU10A transmits the quality data extracted in S106 to SMO30A.

[0054] In the subsequent processes S108 to S115, the measurement data is analyzed and the filtering conditions are improved. This process may be repeated as a feedback loop as needed.

[0055] S108: SMO30A transmits the quality data received in S107 to Non-RT RIC30B.

[0056] S109: The Non-RT RIC30B analyzes the quality data received in S108 to identify the factors contributing to quality degradation (increased cell load and decreased terminal signal strength). Examples of such factors include: - Although RI (Rank Indicator)=4 was scheduled to be assigned, RI=1 was assigned instead. - The signal-to-noise ratio (SNR) is reduced due to interference caused by low uplink / downlink transmission power. - The priority given to uplink communication is low. When the priority is low, for example, scheduling, retransmission counts, and retransmission timing may be insufficient, potentially leading to reduced throughput and quality degradation.

[0057] Furthermore, Non-RT RIC30B may determine a policy for improving quality degradation based on the identified factors. This policy may, for example, "assign additional resources / high priority to terminal 20 with reduced throughput." Alternatively, this policy may be a specific action to be taken, or Near-RT RIC30C may determine the specific action based on this policy.

[0058] S110: Non-RT RIC30B transmits the policy determined in S109 to Near-RT RIC30C via the A1 interface.

[0059] S111: Near-RT RIC30C instructs O-DU / O-CU10A via the E2 interface to perform control (such as changing scheduling priority or allocating additional resources) based on the policy received in S110. O-DU / O-CU10A then executes the instructed control on O-RU10B.

[0060] S112: Based on the control instructed in S111, O-RU10B sends a communication setting instruction to terminal 20.

[0061] S113: Terminal 20 performs data measurement and transmits the measurement results, including the measured data, to O-DU / O-CU10A via O-RU10B.

[0062] S114: O-DU / O-CU10A transmits the measurement results received in S113 to SMO30A.

[0063] S115: The SMO30A / Non-RT RIC30B may use the quality data received in S114 as feedback to retrain its artificial intelligence / machine learning (AI / ML) model and perform improvements and updates to the filtering conditions / policies.

[0064] (Example 2) In this example, the base station 10 (cell) presents the terminal 20 with filtering conditions including hierarchical filtering and logical operations such as AND / OR, as well as the priority of multiple conditions included in the filtering conditions. This makes it possible to efficiently extract the necessary data even under complex conditions.

[0065] The details of the process in this embodiment will be explained below using a sequence diagram. Figure 5 shows an example (2) of a sequence diagram in an embodiment of the present invention. The process of each step in Figure 5 will be explained below.

[0066] S201: SMO30A / Non-RT RIC30B determines hierarchical filtering conditions, filtering conditions including logical operations, and priority for multiple conditions included in the filtering conditions, regarding filtering conditions for data measurement based on previously collected data (historical data). Here, SMO30A may determine the conditions and transmit the determined conditions to Non-RT RIC30B. Alternatively, SMO30A may instruct Non-RT RIC30B to determine the conditions, and Non-RT RIC30B may determine the conditions. The AI / ML model may be, for example, one based on learning by backpropagation using a neural network. The historical data may be, for example, previously collected data (for the past month, etc.) regarding cell load / terminal signal strength per cell / per time period, and the degree of improvement according to the treatment.

[0067] For example, regarding hierarchical filtering conditions, "Cell load 80% or higher AND Area = Urban" may be set as a higher-level condition, and "UE signal strength <-100dBm AND Service type (e.g., video streaming)" as a lower-level condition. Alternatively, the cell load condition may be given the highest priority, and the service type condition may be given a lower priority. Furthermore, a logical OR condition may be added to apply only to cells where a specific event is taking place.

[0068] Alternatively, for example, a higher-level condition could be set as "Cell load 80% or higher AND Specific area," and for intermediate conditions, for each area, intermediate condition 1 "Disaster-occurring area (cell)," intermediate condition 2 "Cell where an event is being held," and intermediate condition 3 "No area specified." For lower-level conditions, including the priority of the cell whose quality improvement is desired (from the terminal's perspective, the priority of the service whose quality improvement is desired), lower-level conditions could be set as follows: lower-level condition 1 "Terminal signal strength 100 or less AND Video terminal: High priority," lower-level condition 2 "Terminal signal strength 100 or less AND Voice terminal: Medium priority," and lower-level condition 3 "Signal strength 100 or less: Low priority." Furthermore, conditions such as "the number of terminals to be measured does not exceed a threshold (e.g., 20 terminals) (the aim is to suppress network load by ensuring that only necessary data is acquired, focusing on high-priority terminals, even if the number of terminals in a cell or the number of terminals that meet the conditions increases)," "the SMO determines the higher-level conditions," and "the determined conditions are notified to specific O-DU / O-CUs (i.e., filtering is not performed on O-DU / O-CUs that do not notify the conditions, or they are not included in the transmission of quality data to the SMO)" may be set.

[0069] Alternatively, a priority level (high, medium, low, etc.) can be set for the intermediate conditions, and after the higher-level conditions are met, the priority of the intermediate conditions is referenced, and then combined with the lower-level conditions to rank the measurement targets. For example, the higher-level condition could be set as "cell load of 80% or more," and the intermediate conditions could be set as follows: intermediate condition (high priority) "disaster area," intermediate condition (medium priority) "event hosting cell," and intermediate condition (low priority) "no area specified." Furthermore, the lower-level conditions could be set as follows: lower-level condition (high priority) "terminal signal strength less than -100dBm and video streaming," lower-level condition (medium priority) "terminal signal strength less than -100dBm and voice call," and lower-level condition (low priority) "terminal signal strength less than -100dBm and other services."

[0070] As described above, once the conditions are set, the cells that first meet the higher-level condition (cell load of 80% or more) are narrowed down, and then the combination of a high-priority intermediate condition (disaster-affected area) and a high-priority lower-level condition (video streaming and terminal signal strength less than -100dBm) becomes the highest-priority measurement target.

[0071] This makes it possible to gradually narrow down the target based on priority, such as a combination where the intermediate condition is high priority and the lower condition is medium priority, or a combination where the intermediate condition is medium priority and the lower condition is high priority.

[0072] S202: Non-RT RIC30B transmits the filtering conditions, including the hierarchical filtering conditions, logical operations, and priorities determined in S201, to O-DU / O-CU10A via the O1 interface.

[0073] Furthermore, the Non-RT RIC30B may periodically send filtering conditions based on conditions related to time period / target area, etc.

[0074] S203: O-DU / O-CU10A detects whether the conditions regarding cell load are met based on the filtering conditions received in S202. For example, O-DU / O-CU10A may first detect the relevant cell based on the higher-level condition "(cell load 80% or more AND urban area) OR (specific event cell)", and then select a terminal 20 to acquire measurement data for that cell based on the lower-level condition "video streaming terminal with weak signal".

[0075] Furthermore, the O-DU / O-CU10A may decide to send a measurement instruction for measurement data to the selected terminal 20. Furthermore, if the O-DU / O-CU10A detects that the above condition is not met, it may decide to send a measurement stop instruction for measurement data to the terminal 20.

[0076] S204: O-DU / O-CU10A transmits instructions to multiple terminals 20 via O-RU10B to perform data measurement (measurement execution instructions). These instructions include the conditions for terminals 20 to perform data measurement, which are included in the filtering conditions received in S202.

[0077] S205: When terminal 20 receives a measurement execution instruction in S204, if the conditions for performing the data measurement included in the instruction are met, it performs the data measurement and transmits the measurement results, including the measured data, to O-DU / O-CU10A via O-RU10B. Here, the data measurement may be the same as the data measurement performed in the existing specifications, as described in Example 1.

[0078] S206: O-DU / O-CU10A selects measurement results that satisfy the filtering conditions received in S202 from among the measurement results received in S205, and extracts all or part of the information from the selected measurement results as quality data.

[0079] Furthermore, the same process as in Modification 1 or Modification 2 described in Example 1 may be performed in S204 to S206.

[0080] S207: O-DU / O-CU10A transmits the quality data extracted in S206 to SMO30A.

[0081] In steps S208 to S215 thereafter, the same processing as described in S108 to S115 in Example 1 may be performed.

[0082] (Example 3) In this example, filtering conditions are applied to the measurement data at the terminal, and a determination is made as to whether or not the filtering conditions are met. In Examples 1 and 2, if the filtering conditions can be notified to the terminal, it is possible to reduce the overall load on the terminal, base station, and SMO, but in Example 3, filtering conditions mainly related to the state of the terminal are used, and the load on the terminal is reduced.

[0083] The details of the process in this embodiment will be explained below using sequence diagrams. Figure 6 shows an example of a sequence diagram (3) in an embodiment of the present invention. The process of each step in Figure 6 will be explained below.

[0084] S301: SMO30A / Non-RT RIC30B determines filtering conditions for terminal 20. These conditions may be, for example, "the battery level of terminal 20 is 20% or higher (ueBatteryLevelThreshold=20%), and the movement state of terminal 20 is stationary or slow (ueMobilityState="stationary or slow")." Here, SMO30A may determine these conditions and transmit the determined conditions to Non-RT RIC30B. Alternatively, SMO30A may instruct Non-RT RIC30B to determine these conditions, and Non-RT RIC30B may determine them.

[0085] S302: Non-RT RIC30B transmits the filtering conditions determined in S301 to O-DU / O-CU10A via the O1 interface.

[0086] S303: O-DU / O-CU10A sends an instruction to terminal 20 via O-RU20B to perform data measurement and report the measurement results (including the filtering conditions) if the filtering conditions received in S302 are met.

[0087] S304: Terminal 20 determines whether the filtering conditions are met based on the instructions received in S302. Furthermore, if terminal 20 determines that the conditions are met, it decides to perform data measurement and report the measurement results. For example, terminal 20 determines that the conditions are met when the battery level is 30% and it is moving at walking speed (slow speed). Also, terminal 20 determines that the conditions are not met when the battery level is 15%. Here, the data measurement may be the same as the data measurement performed in the existing specifications, as described in Example 1.

[0088] S305: If terminal 20 decides to report the measurement results in S304, it transmits the measurement results, including the measured data, to O-DU / O-CU10A via O-RU10B.

[0089] S306: O-DU / O-CU10A extracts all or part of the measurement results received in S305 as quality data and transmits the extracted quality data to SMO30A.

[0090] (Effects) The effects of the above-described examples and modifications will be explained.

[0091] (High-quality data collection) Dynamic condition setting using artificial intelligence / machine learning models and hierarchical and logical filtering make it possible to effectively acquire only the necessary measurement data, thereby improving the performance of xApp / rApp and the accuracy of predictions.

[0092] (Flexible operation and reduced network load) It is possible to respond immediately to changing operational conditions such as event hosting or concentration in specific areas. Furthermore, by considering terminal attributes, it is possible to reduce unnecessary reports and lower the processing load and energy consumption on the base station side.

[0093] (Real-time optimization and continuous improvement) By improving filtering conditions / policies through a feedback loop, optimal data acquisition and control are always possible.

[0094] (Overall optimization through diverse interface integration) By effectively combining the O1, A1, E2, and R1 interfaces, it is possible to enhance information exchange and control coordination between SMO, rApp, xApp, O-CU / O-DU, and terminals, thereby improving the overall network performance and stability.

[0095] In other words, the above-described embodiments and modifications make it possible to achieve filtering of measurement data in a wireless communication network that can respond immediately to changes in network conditions and application (xApp / rApp) requests.

[0096] (Device Configuration) Next, an example of the functional configuration of the base station 10, network node 30, and terminal 20 that perform the processing and operations described above will be explained. The base station 10, network node 30, and terminal 20 include the functions to perform the embodiments described above. However, the base station 10, network node 30, and terminal 20 may each have only some of the functions in the embodiments.

[0097] <Base Station 10 and Network Node 30> Figure 7 shows an example of the functional configuration of a base station 10 and a network node 30. As shown in Figure 7, the base station 10 has a transmitting unit 110, a receiving unit 120, a setting unit 130, and a control unit 140. The functional configuration shown in Figure 7 is merely an example. Any functional classification and functional unit names are acceptable as long as they enable the operation according to the embodiment of the present invention. The network node 30 may have the same functional configuration as the base station 10. Furthermore, a network node 30 having multiple different functions on the system architecture may be composed of multiple network nodes 30 separated by function.

[0098] The transmitting unit 110 includes the function of generating a signal to be transmitted to the terminal 20 or other network node 30 and transmitting the signal by wire or wireless. The receiving unit 120 includes the function of receiving various signals transmitted from the terminal 20 or other network node 30 and obtaining information from the received signal, for example, information from a higher layer. A communication unit including the transmitting unit 110 and the receiving unit 120 may be configured.

[0099] The setting unit 130 stores pre-configured setting information and various setting information to be transmitted to the terminal 20 in a storage device, and reads them from the storage device as needed.

[0100] The control unit 140 performs the processing described in the embodiment. The signal transmission function in the control unit 140 may be included in the transmission unit 110, and the signal reception function in the control unit 140 may be included in the reception unit 120.

[0101] <Terminal 20> Figure 8 is a diagram showing an example of the functional configuration of terminal 20. As shown in Figure 8, terminal 20 has a transmitting unit 210, a receiving unit 220, a setting unit 230, and a control unit 240. The functional configuration shown in Figure 8 is merely an example. The functional classifications and names of the functional units can be anything as long as they can perform the operations according to the embodiment of the present invention. In addition, the communication device that becomes the resource holder may have a functional configuration similar to that of terminal 20.

[0102] The transmitting unit 210 creates a transmission signal from the transmission data and transmits the transmission signal wirelessly. The receiving unit 220 wirelessly receives various signals and obtains signals from higher layers from the received physical layer signals. The receiving unit 220 also has the function of receiving NR-PSS, NR-SSS, NR-PBCH, DL / UL control signals or reference signals transmitted from the network node 30. A communication unit including the transmitting unit 210 and the receiving unit 220 may be configured.

[0103] The setting unit 230 stores various setting information received from the network node 30 by the receiving unit 220 in its storage device and reads it from the storage device as needed. The setting unit 230 also stores pre-configured setting information.

[0104] The control unit 240 performs the processing described in the embodiment. The signal transmission function in the control unit 240 may be included in the transmission unit 210, and the signal reception function in the control unit 240 may be included in the reception unit 220.

[0105] (Hardware Configuration) The block diagrams (Figures 7 and 8) used in the description of the above embodiments show functional units. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized using one device that is physically or logically coupled, or it may be realized using two or more physically or logically separated devices that are directly or indirectly connected (for example, using wired or wireless connections). A functional block may be realized by combining the one device or the multiple devices with software.

[0106] Functions include, but are not limited to, judgment, decision, determination, calculation, calculation, processing, derivation, investigation, exploration, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, assumption, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating (mapping), and assigning. For example, a functional block (configuration part) that enables transmission is called a transmitting unit or transmitter. In all cases, as mentioned above, the method of implementation is not particularly limited.

[0107] For example, the network node 30, terminal 20, etc. in one embodiment of the present disclosure may function as a computer that processes the wireless communication method of the present disclosure. Figure 9 is a diagram showing an example of the hardware configuration of a base station 10 and terminal 20 according to one embodiment of the present disclosure. The network node 30 may have the same hardware configuration as the base station 10. The above-mentioned base station 10 and terminal 20 may be physically configured as a computer device including a processor 1001, a storage device 1002, an auxiliary storage device 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0108] In the following explanation, the term "device" can be read as "circuit," "device," "unit," etc. The hardware configuration of the base station 10 and terminal 20 may include one or more of the devices shown in the figure, or it may be configured without some of the devices.

[0109] Each function in the base station 10 and terminal 20 is realized by loading predetermined software (programs) onto hardware such as the processor 1001 and storage device 1002, which allows the processor 1001 to perform calculations, control communication by the communication device 1004, and control at least one of data reading and writing in the storage device 1002 and auxiliary storage device 1003.

[0110] The processor 1001 controls the entire computer, for example, by running an operating system. The processor 1001 may consist of a central processing unit (CPU) that includes interfaces with peripheral devices, control devices, arithmetic units, registers, etc. For example, the control unit 140, control unit 240, etc., described above may be implemented by the processor 1001.

[0111] Furthermore, the processor 1001 reads programs (program code), software modules, or data from at least one of the auxiliary storage device 1003 and the communication device 1004 into the storage device 1002, and executes various processes accordingly. The program used is one that causes the computer to execute at least a part of the operations described in the above embodiment. For example, the control unit 140 of the base station 10 shown in Figure 7 may be implemented by a control program stored in the storage device 1002 and operated by the processor 1001. Also, for example, the control unit 240 of the terminal 20 shown in Figure 8 may be implemented by a control program stored in the storage device 1002 and operated by the processor 1001. Although the above-described processes have been explained as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The program may also be transmitted from the network via a telecommunications line.

[0112] The storage device 1002 is a computer-readable recording medium and may consist of at least one of the following: ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), etc. The storage device 1002 may also be called a register, cache, main memory, etc. The storage device 1002 can store executable programs (program code), software modules, etc., for implementing a communication method according to one embodiment of the present disclosure.

[0113] The auxiliary storage device 1003 is a computer-readable recording medium and may consist of at least one of the following: an optical disc such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital multipurpose disk, a Blu-ray® disk), a smart card, flash memory (e.g., a card, a stick, a key drive), a floppy® disk, a magnetic strip, etc. The above-mentioned storage medium may also be a database, server, or other suitable medium that includes at least one of the storage device 1002 and the auxiliary storage device 1003.

[0114] The communication device 1004 is hardware (transmitting / receiving device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as a network device, network controller, network card, communication module, etc. The communication device 1004 may be configured to include, for example, a high-frequency switch, duplexer, filter, frequency synthesizer, etc., in order to implement at least one of frequency division duplex (FDD) and time division duplex (TDD). For example, the transmitting and receiving antenna, amplifier section, transmitting and receiving section, transmission path interface, etc., may be implemented by the communication device 1004. The transmitting and receiving section may be implemented in a physically or logically separated manner, with a transmitting section and a receiving section.

[0115] The input device 1005 is an input device that accepts input from an external source (e.g., a keyboard, mouse, microphone, switch, button, sensor, etc.). The output device 1006 is an output device that outputs to an external source (e.g., a display, speaker, LED lamp, etc.). The input device 1005 and the output device 1006 may be configured as an integrated unit (e.g., a touch panel).

[0116] Furthermore, each device, such as the processor 1001 and the storage device 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or different buses may be configured for each device.

[0117] Furthermore, the base station 10 and terminal 20 may be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array), and some or all of each functional block may be realized by such hardware. For example, the processor 1001 may be implemented using at least one of these hardware components.

[0118] O-CU may be interpreted as CU, control device, communication device, aggregation device, central device, management device, etc. Each of these devices may be rephrased as a unit, node, etc. For example, O-CU may be interpreted as a central unit, aggregation node, etc.

[0119] O-DU may be interpreted as DU, control device, communication device, distributed device, high-PHY device, etc. Each of these devices may be rephrased as unit, node, etc. For example, O-DU may be interpreted as distributed unit, distributed node, etc.

[0120] O-RU may be interpreted as RU, radio equipment, RF (Radio Frequency) equipment, low PHY equipment, etc. Each piece of equipment may be rephrased as a unit, node, etc. For example, O-RU may be interpreted as a radio unit, radio node, etc.

[0121] SMO may be interpreted as a control device, communication device, or management device. Each of these devices may be rephrased as a unit, node, etc. For example, SMO may be interpreted as a management unit, management node, etc.

[0122] Non-Real Time RIC may be interpreted as RIC, non-real-time control device, control device, or communication device. Each of these devices may be rephrased as a unit, node, etc. For example, Non-Real Time RIC may be interpreted as a control unit, control node, etc.

[0123] Near-Real Time RIC may be interpreted as RIC, quasi-real-time control device, control device, or communication device. Each of these devices may be rephrased as a unit, node, etc. For example, Non-Real Time RIC may be interpreted as a control unit, control node, etc.

[0124] Figure 10 shows an example of the configuration of vehicle 2001. As shown in Figure 10, vehicle 2001 includes an operating unit 2002, a steering unit 2003, an accelerator pedal 2004, a brake pedal 2005, a shift lever 2006, front wheels 2007, rear wheels 2008, an axle 2009, an electronic control unit 2010, various sensors 2021 to 2029, an information service unit 2012, and a communication module 2013. Each aspect / embodiment described in this disclosure may be applied to a communication device mounted on vehicle 2001, for example, to the communication module 2013.

[0125] The operating unit 2002 consists of, for example, an engine, a motor, or a hybrid of an engine and a motor. The steering unit 2003 includes at least a steering wheel (also called a handle) and is configured to steer at least one of the front wheels and the rear wheels based on the operation of the steering wheel, which is operated by the user.

[0126] The electronic control unit 2010 consists of a microprocessor 2031, memory (ROM, RAM) 2032, and communication ports (IO ports) 2033. Signals from various sensors 2021 to 2029 installed in the vehicle 2001 are input to the electronic control unit 2010. The electronic control unit 2010 may also be called an ECU (Electronic Control Unit).

[0127] Signals from various sensors 2021 to 2029 include current signals from current sensor 2021 for sensing motor current, front and rear wheel rotation speed signals acquired by rotation speed sensor 2022, front and rear wheel air pressure signals acquired by air pressure sensor 2023, vehicle speed signals acquired by vehicle speed sensor 2024, acceleration signals acquired by acceleration sensor 2025, accelerator pedal depression signals acquired by accelerator pedal sensor 2029, brake pedal depression signals acquired by brake pedal sensor 2026, shift lever operation signals acquired by shift lever sensor 2027, and detection signals acquired by object detection sensor 2028 for detecting obstacles, vehicles, pedestrians, etc.

[0128] The Information Service Unit 2012 consists of various devices for providing (outputting) various types of information such as driving information, traffic information, and entertainment information, including a car navigation system, audio system, speakers, television, and radio, and one or more ECUs that control these devices. The Information Service Unit 2012 uses information acquired from external devices via a communication module 2013, etc., to provide various multimedia information and multimedia services to the occupants of the vehicle 2001. The Information Service Unit 2012 may include input devices that accept input from the outside (e.g., keyboard, mouse, microphone, switch, button, sensor, touch panel, etc.) and output devices that perform output to the outside (e.g., display, speaker, LED lamp, touch panel, etc.).

[0129] The driver assistance system unit 2030 consists of various devices that provide functions to prevent accidents or reduce the driver's workload, such as millimeter-wave radar, LiDAR (Light Detection and Ranging), cameras, positioning locators (e.g., GNSS), map information (e.g., high-definition (HD) maps, autonomous vehicle (AV) maps), gyro systems (e.g., IMU (Inertial Measurement Unit), INS (Inertial Navigation System)), AI (Artificial Intelligence) chips, and AI processors, as well as one or more ECUs that control these devices. The driver assistance system unit 2030 also transmits and receives various information via the communication module 2013 to realize driver assistance functions or autonomous driving functions.

[0130] The communication module 2013 can communicate with the microprocessor 2031 and components of the vehicle 2001 via its communication port. For example, the communication module 2013 sends and receives data via the communication port 2033 between the moving parts 2002, steering parts 2003, accelerator pedal 2004, brake pedal 2005, shift lever 2006, front wheels 2007, rear wheels 2008, axle 2009, the microprocessor 2031 and memory (ROM, RAM) 2032 in the electronic control unit 2010, and sensors 2021-29 provided in the vehicle 2001.

[0131] The communication module 2013 is a communication device that can be controlled by the microprocessor 2031 of the electronic control unit 2010 and can communicate with external devices. For example, it can send and receive various types of information with external devices via wireless communication. The communication module 2013 may be located either inside or outside the electronic control unit 2010. The external device may be, for example, a base station or a mobile station.

[0132] The communication module 2013 may transmit at least one of the following to an external device via wireless communication: signals from the various sensors 2021-2028 input to the electronic control unit 2010, information obtained based on said signals, and information based on input from an external source (user) obtained via the information service unit 2012. The electronic control unit 2010, the various sensors 2021-2028, the information service unit 2012, etc., may also be called input units that accept input. For example, the PUSCH transmitted by the communication module 2013 may include the information based on the above input.

[0133] The communication module 2013 receives various information (traffic information, signal information, inter-vehicle information, etc.) transmitted from an external device and displays it on the information service unit 2012 provided in the vehicle 2001. The information service unit 2012 may also be called an output unit, which outputs information (for example, outputs information to devices such as displays and speakers based on the PDSCH (or data / information decoded from the PDSCH) received by the communication module 2013). The communication module 2013 also stores the various information received from the external device in a memory 2032 that can be used by the microprocessor 2031. Based on the information stored in the memory 2032, the microprocessor 2031 may control the operating unit 2002, steering unit 2003, accelerator pedal 2004, brake pedal 2005, shift lever 2006, front wheels 2007, rear wheels 2008, axles 2009, sensors 2021-2029, etc., provided in the vehicle 2001.

[0134] <Notes> (Note 1) A network node comprising: a control unit that dynamically determines filtering conditions for measurement data collected from a terminal; a transmission unit that transmits the filtering conditions to a base station; and a receiving unit that receives quality data from the base station, which includes at least some information in the measurement results of data measurements that satisfy the filtering conditions. (Note 2) The network node according to Note 1, wherein the control unit determines the hierarchical filtering conditions or determines the priority of a plurality of conditions included in the filtering conditions. (Note 3) A base station comprising: a receiving unit that receives dynamically determined filtering conditions for measurement data collected from a terminal from a network node; a control unit that extracts quality data including at least some information in the measurement data that satisfies the filtering conditions; and a transmission unit that transmits the quality data to the network node. (Appendix 4) A base station having: a receiving unit that receives filtering conditions for measurement data to be applied at a terminal from a network node; and a transmitting unit that transmits a report instruction for measurement data including the filtering conditions to the terminal, wherein the receiving unit receives measurement results of data measurement that satisfy the filtering conditions from the terminal, and the transmitting unit transmits quality data extracted from the measurement results to the network node. (Appendix 5) A communication method performed by a network node having: a step of dynamically determining filtering conditions for measurement data to be collected from a terminal; a step of transmitting the filtering conditions to a base station; and a step of receiving quality data from the base station that includes at least some information in the measurement results of data measurement that satisfy the filtering conditions.

[0135] By any of the methods described in Appendix 1 to Appendix 5, it is possible to achieve filtering of measurement data in a wireless communication network that can respond immediately to changes in network conditions and requests from applications (xApp / rApp).

[0136] (Supplement to Embodiments) Embodiments of the present invention have been described above, but the disclosed invention is not limited to such embodiments, and those skilled in the art will understand various modifications, alterations, alternatives, substitutions, etc. Specific numerical examples have been used to facilitate understanding of the invention, but unless otherwise specified, these numerical values ​​are merely examples, and any appropriate values ​​may be used. The division of items in the above description is not essential to the present invention, and matters described in two or more items may be combined as needed, and matters described in one item may be applied to matters described in another item (as long as they do not contradict each other). The boundaries of functional units or processing units in the functional block diagram do not necessarily correspond to the boundaries of physical parts. The operation of multiple functional units may be physically performed by one part, or the operation of one functional unit may be physically performed by multiple parts. The processing procedures described in the embodiments may be rearranged as long as they do not contradict each other. For the convenience of explaining the processing, the base station 10 and terminal 20 have been described using functional block diagrams, but such devices may be realized in hardware, software, or a combination thereof. The software operated by the processor of the base station 10 according to an embodiment of the present invention and the software operated by the processor of the terminal 20 according to an embodiment of the present invention may be stored in any suitable storage medium such as random access memory (RAM), flash memory, read-only memory (ROM), EPROM, EEPROM, register, hard disk (HDD), removable disk, CD-ROM, database, server, or other appropriate storage medium.

[0137] Furthermore, notification of information is not limited to the embodiments / models described herein and may be carried out by other means. For example, notification of information may be carried out by physical layer signaling (e.g., DCI (Downlink Control Information), UCI (Uplink Control Information)), upper layer signaling (e.g., RRC (Radio Resource Control) signaling, MAC (Medium Access Control) signaling), broadcast information (MIB (Master Information Block), SIB (System Information Block)), other signals, or combinations thereof. Also, RRC signaling may be called RRC messages, and may be, for example, RRC Connection Setup messages, RRC Connection Reconfiguration messages, etc.

[0138] Each aspect / embodiment described in this disclosure refers to LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), 5G (5th generation mobile communication system), 6th generation mobile communication system (6G), xth generation mobile communication system (xG) (xG (where x is, for example, an integer or decimal)), FRA (Future Radio Access), NR (new Radio), New radio access (NX), Future generation radio access (FX), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20 may apply to at least one system utilizing UWB (Ultra-WideBand), Bluetooth®, or other appropriate systems, and to next-generation systems extended, modified, created, or defined based thereon. Alternatively, multiple systems may be applied in combination (e.g., a combination of at least one of LTE and LTE-A with 5G).

[0139] The processing procedures, sequences, flowcharts, etc., of each aspect / embodiment described herein may be reordered, provided they are consistent with each other. For example, the methods described herein present various step elements in an exemplary order and are not limited to that specific order.

[0140] In this specification, specific operations performed by the base station 10 may, in some cases, be performed by its upper node. In a network consisting of one or more network nodes having a base station 10, it is clear that various operations performed for communication with the terminal 20 can be performed by the base station 10 and at least one of the other network nodes (for example, an MME or S-GW, but not limited to these). Although the above example illustrates the case where there is one other network node besides the base station 10, the other network node may be a combination of multiple other network nodes (for example, an MME and an S-GW).

[0141] The information or signals described in this disclosure may be output from a higher layer (or lower layer) to a lower layer (or higher layer). They may also be input and output via multiple network nodes.

[0142] Input and output information may be stored in a specific location (e.g., memory) or managed using a management table. Input and output information may be overwritten, updated, or appended to. Output information may be deleted. Input information may be transmitted to other devices.

[0143] The determination in this disclosure may be made by a value represented by one bit (0 or 1), by a Boolean value (true or false), or by a numerical comparison (for example, a comparison with a predetermined value).

[0144] Software should be broadly interpreted to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, and so on, whether they are called software, firmware, middleware, microcode, hardware description languages, or by any other name.

[0145] Furthermore, software, instructions, information, etc., may be transmitted and received via a transmission medium. For example, if software is transmitted from a website, server, or other remote source using at least one of wired technology (such as coaxial cable, fiber optic cable, twisted pair, or digital subscriber line (DSL)) and wireless technology (such as infrared or microwave), then at least one of these wired and wireless technologies is included in the definition of a transmission medium.

[0146] The information, signals, etc. described in this disclosure may be represented using any of the various different techniques. For example, the data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltage, current, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0147] In addition, terms used in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings. For example, at least one of the channel and symbol may be a signal (signaling). Also, a signal may be a message. Furthermore, a component carrier (CC) may be called a carrier frequency, cell, frequency carrier, etc.

[0148] The terms “system” and “network” as used in this disclosure are interchangeable.

[0149] Furthermore, the information, parameters, etc., described in this disclosure may be expressed using absolute values, relative values ​​from a given value, or other corresponding information. For example, wireless resources may be indicated by an index.

[0150] The names used for the parameters described above are not restrictive in any way. Furthermore, the formulas and other expressions using these parameters may differ from those expressly disclosed in this disclosure. Various channels (e.g., PUCCH, PDCCH, etc.) and information elements can be identified by any suitable name, and therefore, the various names assigned to these various channels and information elements are not restrictive in any way.

[0151] In this disclosure, terms such as "Base Station (BS)", "wireless base station", "base station equipment", "fixed station", "NodeB", "eNodeB (eNB)", "gNodeB (gNB)", "access point", "transmission point", "reception point", "transmission / reception point", "cell", "sector", "cell group", "carrier", and "component carrier" may be used interchangeably. Base stations may also be referred to by terms such as macrocell, small cell, femtocell, and picocell.

[0152] A base station can accommodate one or more (e.g., three) cells. If a base station accommodates multiple cells, the entire coverage area of ​​the base station can be divided into multiple smaller areas, each of which may also be provided with communication services by a base station subsystem (e.g., a Remote Radio Head (RRH)). The terms “cell” or “sector” refer to part or all of the coverage area of ​​at least one of the base station and / or base station subsystems that provide communication services in that coverage.

[0153] In this disclosure, the transmission of information by a base station to a terminal may be interpreted as the base station instructing the terminal to perform control or operation based on the information.

[0154] In this disclosure, terms such as "Mobile Station (MS)," "user terminal," "User Equipment (UE)," and "terminal" may be used interchangeably.

[0155] A mobile station may also be referred to by those skilled in the art as a subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or several other appropriate terms.

[0156] At least one of the base station and the mobile station may be called a transmitting device, a receiving device, a communication device, etc. At least one of the base station and the mobile station may also be a device mounted on a mobile body, the mobile body itself, etc. The mobile body refers to a movable object, and its speed of movement is arbitrary. This also includes the case when the mobile body is stationary. The mobile body includes, but is not limited to, vehicles, transport vehicles, automobiles, motorcycles, bicycles, connected cars, excavators, bulldozers, wheel loaders, dump trucks, forklifts, trains, buses, handcarts, rickshaws, ships and other watercraft, airplanes, rockets, satellites, drones (registered trademark), multicopters, quadcopters, balloons, and items mounted on them. The mobile body may also be a mobile body that moves autonomously based on operation commands. It may be a vehicle (e.g., a car, an airplane, etc.), an unmanned mobile body (e.g., a drone, an autonomous vehicle, etc.), or a robot (manned or unmanned). Furthermore, at least one of the base station and the mobile station may include devices that do not necessarily move during communication operations. For example, at least one of the base station and the mobile station may be an IoT (Internet of Things) device such as a sensor.

[0157] Furthermore, the term "base station" in this disclosure may be interpreted as "user terminal." For example, the various aspects / embodiments of this disclosure may be applied to a configuration in which communication between a base station and a user terminal is replaced with communication between multiple terminals 20 (which may be called, for example, D2D (Device-to-Device), V2X (Vehicle-to-Everything), etc.). In this case, the terminals 20 may have the functions that the base station 10 has. Also, terms such as "uplink" and "downlink" may be interpreted as terms corresponding to terminal-to-terminal communication (for example, "side"). For example, uplink channel, downlink channel, etc., may be interpreted as side channel.

[0158] Similarly, the term "user terminal" in this disclosure may be replaced with "base station." In this case, the base station may be configured to have the same functions as the user terminal described above.

[0159] As used in this disclosure, the terms “determining” and “determining” may encompass a wide variety of actions. “Determining” may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, or inquiring (e.g., searching in a table, database, or other data structure), or ascertaining. “Determining” may also include receiving (e.g., receiving information), transmitting (e.g., sending information), inputting, outputting, or accessing (e.g., accessing data in memory). Furthermore, "judgment" and "decision" can include considering something as having been "judged" or "decided" after resolving, selecting, choosing, establishing, comparing, etc. In other words, "judgment" and "decision" can include considering something as having been "judged" or "decided" after some action. Also, "judgment (decision)" can be reinterpreted as "assuming," "expecting," or "considering."

[0160] The terms “connected,” “coupled,” or any variation thereof, mean any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are “connected” or “coupled” with each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, “connection” may be reinterpreted as “access.” As used in this disclosure, two elements may be considered to be “connected” or “coupled” with each other using at least one of one or more wires, cables, and printed electrical connections, and, in some non-limiting and non-exclusive examples, electromagnetic energy having wavelengths in the radio frequency domain, microwave domain, and optical (both visible and invisible) domain.

[0161] The reference signal can also be abbreviated as RS (Reference Signal), and may be called a pilot depending on the applicable standard.

[0162] In this disclosure, the phrase "based on" does not mean "based solely on" unless otherwise specified. In other words, the phrase "based on" means both "based solely on" and "based at least on."

[0163] Any reference to elements using the designations “first,” “second,” etc., as used in this disclosure does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient way to distinguish between two or more elements. Accordingly, references to the first and second elements do not imply that only two elements may be employed, or that the first element must precede the second element in any way.

[0164] In the configuration of each of the above devices, "means" may be replaced with "part," "circuit," "device," etc.

[0165] Where the terms “include,” “including,” and variations thereof are used in this disclosure, these terms are intended to be inclusive, as is the term “comprising.” Furthermore, the term “or” as used in this disclosure is not intended to mean exclusive OR.

[0166] In this disclosure, if articles are added through translation, such as a, an, and the in English, this disclosure may include the fact that the noun following these articles is plural.

[0167] In this disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "combine" may be interpreted similarly to "different."

[0168] Each aspect / embodiment described in this disclosure may be used individually, in combination, or switched between as needed during implementation. Furthermore, notification of specific information (e.g., notification that "X is") is not limited to explicit notification, but may also be implicit (e.g., by not providing such notification).

[0169] Although the present disclosure has been described in detail above, it will be clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the intent and scope of the present disclosure as defined by the claims. Therefore, the descriptions in the present disclosure are illustrative and not intended to be restrictive in any way.

[0170] 10 Base station 110 Transmitter 120 Receiver 130 Setting unit 140 Control unit 20 Terminal 210 Transmitter 220 Receiver 230 Setting unit 240 Control unit 30 Network node 1001 Processor 1002 Storage device 1003 Auxiliary storage device 1004 Communication device 1005 Input device 1006 Output device

Claims

1. A network node comprising: a control unit that dynamically determines filtering conditions for measurement data collected from a terminal; a transmission unit that transmits the filtering conditions to a base station; and a receiving unit that receives quality data from the base station, which includes at least some information in the measurement results of data measurements that satisfy the filtering conditions.

2. The network node according to claim 1, wherein the control unit determines the hierarchical filtering conditions or determines the priority of a plurality of conditions included in the filtering conditions.

3. A base station having: a receiving unit that receives dynamically determined filtering conditions from a network node for measurement data collected from a terminal; a control unit that extracts quality data containing at least some information from the measurement data that satisfies the filtering conditions; and a transmitting unit that transmits the quality data to the network node.

4. A base station comprising: a receiving unit that receives filtering conditions for measurement data to be applied at a terminal from a network node; and a transmitting unit that transmits a reporting instruction for measurement data including the filtering conditions to the terminal, wherein the receiving unit receives measurement results of data measurement that satisfy the filtering conditions from the terminal, and the transmitting unit transmits quality data extracted from the measurement results to the network node.

5. A communication method performed by a network node, comprising the steps of: dynamically determining filtering conditions for measurement data collected from a terminal; transmitting the filtering conditions to a base station; and receiving quality data from the base station that includes at least some information in the measurement results of data measurements that satisfy the filtering conditions.

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