Method and device for transmitting and receiving signal in wireless communication system

Abstract

A method performed by a user equipment (UE) according to at least one of embodiments disclosed in the present disclosure comprises the steps of: performing a first low power-wake up receiver (LP-WUR)-based measurement for a low power-wake up signal (LP-WUS); performing a second LP-WUR-based measurement for a synchronization signal (SS) on the basis of a result value of the first LP-WUR-based measurement and a first threshold value related to the LP-WUS; and activating a main radio receiver (MR) and performing an MR-based measurement on the basis of a result value of the second LP-WUR-based measurement and a second threshold value related to the SS.

Description

Method and device for transmitting and receiving signals in a wireless communication system

[0001] The present disclosure relates to a wireless communication system, and more particularly, to a method and apparatus for transmitting or receiving an uplink / downlink wireless signal in a wireless communication system.

[0002] The 5G mobile communications system, the successor to LTE (long-term evolution), is a new, clean-slate mobile communications system characterized by high performance, low latency, and high availability. 5G NR can utilize all available spectrum resources, from low-frequency bands below 1 GHz, to intermediate-frequency bands between 1 GHz and 10 GHz, and high-frequency (millimeter wave) bands above 24 GHz. 6G mobile communications systems are being developed based on the underlying technologies of 5G mobile communications.

[0003] The 6G (wireless) system aims to provide (i) very high data rates per device, (ii) a very large number of connected devices, (iii) global connectivity, (iv) very low latency, (v) low energy consumption for battery-free Internet of Things (IoT) devices, (vi) ultra-reliable connectivity, and (vii) connected intelligence with machine learning capabilities. The vision of the 6G system can be divided into four aspects: intelligent connectivity, deep connectivity, holographic connectivity, and ubiquitous connectivity.

[0004] The technical task to be achieved in the present disclosure is to provide a method for efficiently performing a wireless signal transmission and reception process and a device therefor. As an example, the present disclosure may provide a method for measuring Radio Resource Management (RRM) using a Low Power-Wake Up Receiver (LP-WUR) and a method for performing a cell reselection procedure based thereon.

[0005] The technical tasks to be achieved are not limited to the technical tasks mentioned above, and other technical tasks not mentioned can be inferred from the description below.

[0006] According to one aspect of the present disclosure, a method performed by a User Equipment (UE) includes the steps of: performing a first Low Power-Wake Up Receiver (LP-WUR)-based measurement for a Low Power-Wake Up Signal (LP-WUS); performing a second LP-WUR-based measurement for a Synchronization Signal (SS) based on a result value of the first LP-WUR-based measurement and a first threshold value associated with the LP-WUS; and activating a Main Radio receiver (MR)-based measurement based on a result value of the second LP-WUR-based measurement and a second threshold value associated with the SS.

[0007] According to one aspect of the present disclosure, a UE (User Equipment) comprises at least one processor; and at least one computer memory storing instructions that, when executed by the at least one processor, cause the reader to perform operations, the operations comprising: performing a first LP-WUR (Low Power-Wake Up Receiver)-based measurement for a LP-WUS (Low Power-Wake Up Signal); performing a second LP-WUR-based measurement for an SS (Synchronization Signal) based on a result of the first LP-WUR-based measurement and a first threshold value associated with the LP-WUS; and activating a MR (Main Radio receiver)-based measurement based on a result of the second LP-WUR-based measurement and a second threshold value associated with the SS.

[0008] Preferably, the step of performing the second LP-WUR-based measurement includes a step of performing the second LP-WUR-based measurement based on a result value of the first LP-WUR-based measurement being less than or equal to a first threshold value associated with the LP-WUS during a first time interval, and the step of performing the MR-based measurement includes a step of performing the MR-based measurement based on a result value of the second LP-WUR-based measurement being less than or equal to a second threshold value associated with the SS during a second time interval.

[0009] Preferably, the step of performing the first LP-WUR-based measurement includes the step of performing a measurement on at least one of the payload and sequence constituting the LP-SS. In particular, the step of performing a measurement on the sequence may include; and the step of performing a measurement on the payload and the sequence.

[0010] Meanwhile, the step of performing the first LP-WUR-based measurement may include performing the first LP-WUR-based measurement on the LP-WUS received from the adjacent cell, and performing a cell reselection procedure to the adjacent cell based on whether the result value of the first LP-WUR-based measurement satisfies a low-power cell reselection criterion.

[0011] In addition, the step of performing the second LP-WUR-based measurement may also include the step of performing the second LP-WUR-based measurement for the SS received from the adjacent cell, and performing a cell reselection procedure to the adjacent cell based on whether a result value of the second LP-WUR-based measurement satisfies the low-power cell reselection criterion.

[0012] The above problem solving methods are only some of the examples of this specification, and various examples reflecting the technical features of this specification can be derived and understood by a person having ordinary knowledge in the relevant technical field based on the detailed description below.

[0013] According to one embodiment, a wireless signal transmission and reception process can be efficiently performed. For example, a method for measuring Radio Resource Management (RRM) using a Low Power-Wake Up Receiver (LP-WUR) and a method for performing a cell reselection procedure based thereon can be efficiently performed.

[0014] Other effects not mentioned can be inferred from the description below.

[0015] The accompanying drawings, which are included as part of the detailed description to aid in understanding implementations of this specification, provide examples of implementations of this specification and, together with the detailed description, illustrate implementations of this specification.

[0016] Figure 1 illustrates a flexible network topology to which some examples of this specification may be applied.

[0017] FIG. 2 illustrates an example of a communication system applicable to the present disclosure.

[0018] FIG. 3 illustrates an example of a wireless device applicable to the present disclosure.

[0019] FIG. 4 illustrates a communication procedure between a first node (e.g., a terminal) and a second node (e.g., a base station) applicable to the present disclosure.

[0020] Figure 5 illustrates a general functional architecture for an AI / ML model.

[0021] Figure 6 illustrates a communication procedure between a first node (e.g., terminal) and a second node (e.g., base station) to which an AI / ML model is applied.

[0022] FIG. 7 illustrates an electromagnetic spectrum according to one embodiment of the present disclosure.

[0023] FIG. 8 illustrates an example of a procedure for transmitting system information for THz communication to which the present disclosure applies.

[0024] Figure 9 illustrates a beam management procedure applicable to the present disclosure.

[0025] FIG. 10 illustrates an example of a typical scenario of an NTN based on a transparent payload, according to one embodiment of the present disclosure.

[0026] FIG. 11 illustrates an example of a typical scenario of an NTN based on a regenerative payload, according to one embodiment of the present disclosure.

[0027] FIG. 12 illustrates an example of a sensing operation according to one embodiment of the present disclosure.

[0028] FIG. 13 illustrates time / frequency resources for sensing operations according to one embodiment of the present specification.

[0029] FIG. 14 illustrates a procedure related to a sensing operation according to one embodiment of the present specification.

[0030] FIG. 15 is a flowchart illustrating an example of performing LP-WUR (Low Power-Wake Up Receiver)-based measurement according to the present disclosure.

[0031] FIG. 16 is a flowchart illustrating an example of performing a cell reselection procedure using LP-WUR (Low Power-Wake Up Receiver) based measurement according to the present disclosure.

[0032] As used herein, "A or B" can mean "only A," "only B," or "both A and B." In other words, as used herein, "A or B" can be interpreted as "A and / or B." For example, as used herein, "A, B or C" can mean "only A," "only B," "only C," or "any combination of A, B and C."

[0033] As used herein, a slash ( / ) or a comma can mean "and / or." For example, "A / B" can mean "A and / or B." Accordingly, "A / B" can mean "only A," "only B," or "both A and B." For example, "A, B, C" can mean "A, B, or C."

[0034] In this specification, "at least one of A and B" may mean "only A", "only B" or "both A and B". Additionally, in this specification, the expressions "at least one of A or B" or "at least one of A and / or B" may be interpreted identically to "at least one of A and B".

[0035] Additionally, in this specification, “at least one of A, B and C” can mean “only A,” “only B,” “only C,” or “any combination of A, B and C.” Additionally, “at least one of A, B or C” or “at least one of A, B and / or C” can mean “at least one of A, B and C.”

[0036] Additionally, parentheses used herein may mean "for example." Specifically, when "control information (ABC)" is indicated, "ABC" may be described as an example of "control information." For example, "control information" may include DEF as another example. In other words, "control information" in this specification is not limited to "ABC," and "ABC" may be described as an example of "control information." Furthermore, even when indicated as "control information (i.e., ABC)," "ABC" may be described as an example of "control information."

[0037] Additionally, in this specification, terms such as “first,” “second,” etc. are used only for the purpose of distinguishing one component from another component and are not used to limit the components, and do not limit the order or importance between the components unless specifically limited. Accordingly, a first component in one embodiment of this specification may be referred to as a second component in another embodiment, and similarly, a second component in one embodiment may be referred to as a first component in another embodiment.

[0038] In the following explanation, ‘when, if, in case of’ can be replaced with ‘based on’.

[0039] Technical features individually described in a single drawing in this specification may be implemented individually or simultaneously.

[0040] In this specification, a terminal is a user equipment (UE) or a consumer-side device, and may also be referred to as a base station / second node / IAB node / first node that receives / transmits signals from / to a Transmission-Reception Point (TRP). A terminal may correspond to a physical node or a logical node. A terminal may correspond to an endpoint on the user side, or may correspond to an intermediate point between other endpoints. In communication between two points that are not limited to endpoints (including one-to-one / many-to-one / one-to-many / many-to-many communication), a terminal may correspond to a served node. A terminal may be a node with a fixed location, or a node with an unfixed location (or mobile).

[0041] In this specification, a base station (BS) is a device on the network side, and may also be called a second node / IAB node / x-NodeB (x-NodeB, x may be an abbreviation related to radio access technology (RAT)) / Transmission-Reception Point (TRP). A BS may correspond to a physical node or a logical node. A BS may correspond to an endpoint on the network side, or may correspond to an intermediate point between other endpoints. In communication between two points that are not limited to endpoints (including one-to-one / many-to-one / one-to-many / many-to-many communication), a BS may correspond to a serving node. A BS may be a node with a fixed location, or a node with an unfixed location.

[0042] In this specification, higher layer parameters may be set for the terminal, preset, or predefined. For example, the base station may transmit higher layer parameters to the terminal. For example, the terminal may transmit parameters such as capabilities to the base station as higher layer parameters. For example, the higher layer parameters may be transmitted via radio resource control (RRC) signaling or medium access control (MAC) signaling.

[0043] In this specification, the information / state / parameter being “configured or pre-configured” can be interpreted as the information / state / parameter being provided / pre-provided to the terminal through pre-defined signaling (e.g., SIB, MAC, RRC) from the base station. In this specification, the information / state / parameter being “defined or pre-defined” can be interpreted as the information / state / parameter being known in advance or pre-stored at the base station and the terminal without signaling between the base station and the terminal.

[0044] The technology described in this specification can be used in various wireless communication systems such as CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), and SC-FDMA (single carrier frequency division multiple access). CDMA can be implemented with wireless technologies such as UTRA (universal terrestrial radio access) or CDMA2000. TDMA can be implemented with wireless technologies such as GSM (global system for mobile communications) / GPRS (general packet radio service) / EDGE (enhanced data rates for GSM evolution). OFDMA can be implemented with wireless technologies such as IEEE (Institute of Electrical and Electronics Engineers) 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802-20, E-UTRA (evolved UTRA), LTE (long term evolution), and 5G NR.

[0045] The technology described in this specification can be implemented with 6G wireless technology and applied to various 6G systems. For example, the 6G system can have key factors such as enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC), massive machine-type communication (mMTC), artificial intelligence (AI) integrated communication, tactile internet, high throughput, high network capacity, high energy efficiency, low backhaul and access network congestion, and enhanced data security.

[0046] Figure 1 illustrates a flexible network topology to which some examples of this specification may be applied.

[0047] To compensate for incomplete network coverage areas, a network topology that allows for more flexible and resilient split radio access networks (RANs) may be considered. For this purpose, various nodes, such as IAB nodes, relays, and RF repeaters, as illustrated in the example in Figure 1, may be applied, or NTNs may be integrated. For example, an IAB node may correspond to a node that provides wireless backhaul. For example, a relay may refer to any intermediate point, or in the case of a sidelink relay where a terminal functions as a relay, it may collectively refer to a terminal-to-network (U2N) relay and a terminal-to-terminal (U2U) relay. For example, an RF repeater may correspond to a node that simply performs the function of signal amplification and forwarding, while a network-controlled repeater may not only amplify and forward signals but also adjust transmission and reception settings based on information provided by the network. For example, an NTN node may correspond to a satellite or aircraft that provides NTN coverage that is difficult for terrestrial networks to provide. In addition to these examples, various intermediate points can be introduced to improve the network topology.

[0048] Referring to Figure 1, a split RAN can support the division of a base station into a centralized unit (CU) and one or more distributed units (DUs). The CU and DU can correspond to logical units. The CU can be further divided into a control plane (CP) portion and one or more user plane (UP) portions. Since a failure in the CU-CP affects not only the CU-UP but also the DUs, various intermediate points can be introduced to compensate for this.

[0049] An intermediate point may correspond to a terminal or a base station, depending on its relationship to other nodes. For example, an IAB node may include a mobile-termination (MT) portion and a unit (DU). The MT may connect the IAB node to a donor node. The unit (DU) of an IAB node may serve other terminals or connect to other IAB nodes to provide multi-hop wireless backhaul to the terminal. In other words, an IAB node may correspond to a base station in its relationship to a user-side node, and to a terminal in its relationship to a network-side node.

[0050] In some examples of this specification, the description of a terminal can be equally applied not only to a user-side endpoint, but also to an intermediate point corresponding to a terminal in a relative relationship with a network-side endpoint. Similarly, in some examples of this specification, the description of a base station can be equally applied not only to a network-side endpoint, but also to an intermediate point corresponding to a base station in a relative relationship with a user-side endpoint. However, in most cases where there is no additional description of the operations of three or more entities, the communicating entities in this specification are briefly described as terminals and / or base stations (or first nodes and / or second nodes), and the terms terminal and / or base stations (or first nodes and / or second nodes) are interpreted to include / replace any endpoint or any intermediate point in relation to other nodes.

[0051] That is, in some examples of this specification, for the sake of simplicity of explanation, the subjects of the operation may be referred to as a base station and / or a terminal (or a first node and / or a second node). In addition, the terms base station and / or terminal (or a first node and / or a second node) may also be interpreted / replaced as in the following examples: For example, the base station (or a first node) and the terminal (or a second node) may respectively correspond to the first endpoint and the second endpoint; may respectively correspond to the endpoint and the intermediate point; may respectively correspond to the intermediate point and the endpoint; or may respectively correspond to the first intermediate point and the second intermediate point.

[0052] In this specification, there may be zero or more intermediate points between the base station and the terminal. If intermediate points exist, they may be IAB nodes, relays, RF repeaters, NTN (non-terrestrial network) nodes, or nodes supporting other functions. An intermediate point may be a node with a fixed location or a node with an unfixed location.

[0053] Figure 2 illustrates a communication system applicable to the present disclosure.

[0054] The communication system (100) of FIG. 2 includes a wireless device (110), a network device (120), and a network (130). Here, the wireless device (110) refers to a device that performs communication using a wireless access technology (e.g., LTE, LTE-A, LTE-A pro, NR, 5G, 5G-A, 6G), and may be referred to as a communication / wireless / 5G / 6G device. Although not limited thereto, the wireless device (110) may include a robot (110a), a vehicle (110b-1, 110b-2), an XR (extended reality) device (110c), a hand-held device (110d), a home appliance (110e), an IoT (Internet of Things) device (110f), and an AI (artificial intelligence) device / server (110g). For example, the vehicle may include a vehicle equipped with a wireless communication function, an autonomous vehicle, a vehicle capable of performing vehicle-to-vehicle communication, etc. Here, the vehicle (110b-1, 110b-2) may include an unmanned aerial vehicle (UAV) (e.g., a drone). The XR device (110c) includes an augmented reality (AR) / virtual reality (VR) / mixed reality (MR) device, and may be implemented in the form of a head-mounted device (HMD), a head-up display (HUD) equipped in a vehicle, a television, a smartphone, a computer, a wearable device, a home appliance, a digital signage, a vehicle, a robot, etc. The portable device (110d) may include a smartphone, a smart pad, a wearable device (e.g., a smart watch, smart glasses), a computer (e.g., a laptop, etc.), etc. The home appliance (110e) may include a TV, a refrigerator, a washing machine, etc. The IoT device (110f) may include a sensor, a smart meter, etc. The wireless device (110) may correspond to a terminal (or first node) or an intermediate point.The network device (120) may correspond to a base station (or second node) or another intermediate point. For example, the network device (120) may also be implemented as a wireless device (110), and a specific wireless device (120a) may act as a network device (120) to another wireless device (110).

[0055] Wireless devices (110a to 110f) can be connected to a network (130) via a network device (120). AI technology can be applied to the wireless devices (110a to 110f), and the wireless devices (110a to 110f) can be connected to an AI server (110g) via a network (130). The network (130) can be configured using a 3G network, a 4G (e.g., LTE) network, a 5G (e.g., NR), or a 6G network. The wireless devices (110a to 110f) can communicate with each other via the network device (120) / network (130), but can also communicate directly (e.g., sidelink communication) without going through the network device (120) / network (130). For example, vehicles (110b-1, 110b-2) can communicate directly (e.g., V2V (vehicle to vehicle) / V2X (vehicle to everything) communication). Additionally, IoT devices (110f) (e.g., sensors) can communicate directly with other IoT devices (e.g., sensors) or other wireless devices (110a to 110f).

[0056] Wireless communication / connection (150a, 150b, 150c) can be established between wireless devices (110a to 110f) / network devices (120), network devices (120) / network devices (120). Here, the wireless communication / connection can be established through various wireless access technologies such as uplink / downlink communication (150a), sidelink communication (150b) (or D2D communication), and communication between network devices (150c) (e.g., relay, IAB (integrated access backhaul)). Through the wireless communication / connection (150a, 150b, 150c), the wireless device and the network device / wireless device, and the network device and the network device can transmit / receive wireless signals to each other. For example, the wireless communication / connection (150a, 150b, 150c) can transmit / receive signals through various physical channels. To this end, based on various descriptions of the present disclosure, at least some of various configuration information setting processes for transmitting / receiving wireless signals, various signal processing processes (e.g., channel encoding / decoding, modulation / demodulation, resource mapping / demapping, etc.), resource allocation processes, etc. may be performed.

[0057] FIG. 3 illustrates an example of a wireless device applicable to the present disclosure.

[0058] Referring to FIG. 3, the wireless device (200) can transmit and receive wireless signals via various wireless access technologies (e.g., LTE, LTE-A, LTE-A pro, NR, 5G, 5G-A, 6G). The wireless device (200) includes at least one processor (202) and at least one memory (204), and may additionally include at least one transceiver (206) and / or at least one antenna (208).

[0059] The processor (202) controls the memory (204) and / or the transceiver (206), and may be configured to implement the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. For example, the processor (202) may process information in the memory (204) to generate first information / signal, and then transmit a wireless signal including the first information / signal via the transceiver (206). In addition, the processor (202) may receive a wireless signal including second information / signal via the transceiver (206), and then store information obtained from signal processing of the second information / signal in the memory (204). The memory (204) may be connected to the processor (202) and may store various information related to the operation of the processor (202). For example, the memory (204) may store software code including instructions for performing some or all of the processes controlled by the processor (202), or for performing the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed herein. Here, the processor (202) and the memory (204) may be part of a communication modem / circuit / chip designed to implement wireless communication technology. The transceiver (206) may be connected to the processor (202) and may transmit and / or receive wireless signals via at least one antenna (208). The transceiver (206) may include a transmitter and / or a receiver. The transceiver (206) may be used interchangeably with an RF (radio frequency) unit. In the present disclosure, a wireless device may also mean a communication modem / circuit / chip.

[0060] Hereinafter, the hardware elements of the wireless device (200) will be described in more detail. Although not limited thereto, at least one protocol layer may be implemented by at least one processor (202). For example, at least one processor (202) may implement at least one layer (e.g., a functional layer such as physical (PHY), media access control (MAC), radio link control (RLC), packet data convergence protocol (PDCP), radio resource control (RRC), and service data adaptation protocol (SDAP)). At least one processor (202) may generate at least one Protocol Data Unit (PDU) and / or at least one Service Data Unit (SDU) according to the descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document. At least one processor (202) may generate a message, control information, data, or information according to the descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document. At least one processor (202) can generate a signal (e.g., a baseband signal) including a PDU, an SDU, a message, control information, data or information according to the functions, procedures, proposals and / or methods disclosed in this document, and provide the signal to at least one transceiver (206). At least one processor (202) can receive a signal (e.g., a baseband signal) from at least one transceiver (206) and obtain the PDU, SDU, message, control information, data or information according to the descriptions, functions, procedures, proposals, methods and / or operational flowcharts disclosed in this document.

[0061] At least one processor (202) may be referred to as a controller, a microcontroller, a microprocessor, or a microcomputer. The at least one processor (202) may be implemented by hardware, firmware, software, or a combination thereof. For example, at least one application specific integrated circuit (ASIC), at least one digital signal processor (DSP), at least one digital signal processing device (DSPD), at least one programmable logic device (PLD), or at least one field programmable gate array (FPGA) may be included in the at least one processor (202). The descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document may be implemented using firmware or software, and the firmware or software may be implemented to include modules, procedures, functions, etc. The descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document may be included in the at least one processor (202), or may be stored in at least one memory (204) and executed by the at least one processor (202). The descriptions, functions, procedures, suggestions, methods and / or flowcharts disclosed in this document may be implemented using firmware or software in the form of code, instructions and / or sets of instructions.

[0062] At least one memory (204) can be connected to at least one processor (202) and can store various forms of data, signals, messages, information, programs, codes, instructions and / or commands. The at least one memory (204) can be configured as a read only memory (ROM), a random access memory (RAM), an erasable programmable read only memory (EPROM), a flash memory, a hard drive, a register, a cache memory, a computer readable storage medium and / or a combination thereof. The at least one memory (204) can be located internally and / or externally to the at least one processor (202). In addition, the at least one memory (204) can be connected to the at least one processor (202) via various technologies such as a wired or wireless connection.

[0063] At least one transceiver (206) can transmit user data, control information, wireless signals / channels, etc., mentioned in the methods and / or flowcharts of this document to at least one other device. At least one transceiver (206) can receive user data, control information, wireless signals / channels, etc. mentioned in the descriptions, functions, procedures, proposals, methods and / or flowcharts disclosed in this document from at least one other device. For example, at least one transceiver (206) can be connected to at least one processor (202) and can transmit and receive wireless signals. For example, at least one processor (202) can control at least one transceiver (206) to transmit user data, control information, or wireless signals to at least one other device. Furthermore, at least one processor (202) can control at least one transceiver (206) to receive user data, control information, or wireless signals from at least one other device. In addition, at least one transceiver (206) may be connected to at least one antenna (208), and at least one transceiver (206) may be configured to transmit and receive user data, control information, wireless signals / channels, etc. mentioned in the descriptions, functions, procedures, proposals, methods and / or operation flowcharts disclosed in this document through at least one antenna (208). In this document, at least one antenna may be a plurality of physical antennas or a plurality of logical antennas (e.g., antenna ports). At least one transceiver (206) may convert the received wireless signals / channels, etc. from RF band signals to baseband signals in order to process the received user data, control information, wireless signals / channels, etc. using at least one processor (202). At least one transceiver (206) may convert the processed user data, control information, wireless signals / channels, etc. from baseband signals to RF band signals using at least one processor (202).For this purpose, at least one transceiver (206) may include an (analog) oscillator and / or filter.

[0064] The components of the wireless device described with reference to FIG. 3 may be referred to by different terms in terms of functionality. For example, the processor (202) may be referred to as a control unit, the transceiver (206) as a communication unit, and the memory (204) as a storage unit. In some cases, the communication unit may be used to mean at least a portion of the processor (202) and the transceiver (206).

[0065] The structure of the wireless device described with reference to FIG. 3 can be understood as the structure of at least a portion of various devices. For example, the structure of the wireless device illustrated in FIG. 3 can be at least a portion of various devices described with reference to FIG. 2 (e.g., a robot (110a), a vehicle (110b-1, 110b-2), an XR device (110c), a portable device (110d), a home appliance (110e), an IoT device (110f), an AI device / server (110g)). Furthermore, according to various embodiments, in addition to the components illustrated in FIG. 3, the device may further include other components.

[0066] For example, the device may be a portable device such as a smartphone, a smart pad, a wearable device (e.g., a smart watch, smart glasses), or a portable computer (e.g., a laptop, etc.). In this case, the device may further include at least one of a power supply unit that supplies power and includes a wired / wireless charging circuit, a battery, etc., an interface unit that includes at least one port for connection with another device (e.g., an audio input / output port, a video input / output port), and an input / output unit for inputting and outputting image information / signals, audio information / signals, data, and / or information input from a user.

[0067] For example, the device may be a mobile device such as a mobile robot, a vehicle, a train, an aerial vehicle (AV), a ship, etc. In this case, the device may further include at least one of a driving unit including at least one of an engine, a motor, a power train, wheels, brakes, and a steering unit of the device, a power supply unit including a wired / wireless charging circuit, a battery, etc. that supplies power, a sensor unit that senses status information, environmental information, and user information of the device or its surroundings, an autonomous driving unit that performs functions such as path maintenance, speed control, and destination setting, and a position measurement unit that obtains location information of the mobile device through a global positioning system (GPS) and various sensors.

[0068] For example, the device may be an XR device such as an HMD, a head-up display (HUD) installed in a vehicle, a television, a smartphone, a computer, a wearable device, a home appliance, a digital signage, a vehicle, a robot, etc. In this case, the device may further include at least one of a power supply unit that supplies power and includes a wired / wireless charging circuit, a battery, etc., an input / output unit that obtains control information, data, etc. from the outside and outputs the generated XR object, and a sensor unit that senses status information, environmental information, and user information of the device or the surroundings of the device.

[0069] For example, the device may be a robot that can be classified into industrial, medical, household, military, etc. types depending on the purpose or field of use. In this case, the device may further include at least one of a sensor unit that senses status information, environmental information, and user information of the device or its surroundings, and a driving unit that performs various physical actions, such as moving the robot joints.

[0070] For example, the device may be an AI device such as a TV, a projector, a smartphone, a PC, a laptop, a digital broadcasting terminal, a tablet PC, a wearable device, a set-top box (STB), a radio, a washing machine, a refrigerator, digital signage, a robot, a vehicle, etc. In this case, the device may further include at least one of an input unit that acquires various types of data from the outside, an output unit that generates output related to sight, hearing, or touch, a sensor unit that senses status information, environmental information, and user information of the device or its surroundings, and a training unit that trains a model composed of an artificial neural network using learning data.

[0071] The structure of the wireless device illustrated in FIG. 3 may be understood as a part of a terminal (or first node), or as a part of an intermediate point, or as a part of a base station (or second node). If the device illustrated in FIG. 3 is a base station (or second node), the device may further include a wired transceiver for front haul and / or back haul communications. However, if the front haul and / or back haul communications are based on wireless communications, at least one transceiver (206) illustrated in FIG. 3 may be used for front haul and / or back haul communications, and a wired transceiver may not be included.

[0072] FIG. 4 illustrates a communication procedure between a first node (e.g., a terminal) and a second node (e.g., a base station) applicable to the present disclosure.

[0073] The second node of FIG. 4 supports dynamic spectrum sharing (DSS), which can provide connectivity to both nodes implementing 6G technology and nodes implementing pre-6G wireless communication technologies (e.g., 5G, 4G). That is, the first node of FIG. 4 can implement either 6G technology or pre-6G wireless communication technologies (e.g., 5G, 4G). Furthermore, the first node and / or the second node can support full duplex mode as well as non-overlapping full duplex mode.

[0074] In Fig. 4, for the sake of simplicity of explanation, the first node and the second node are assumed to be a terminal and a base station, respectively, and operations of the terminal (110) and the base station (120) transmitting and / or receiving data and operations performed prior thereto are illustrated. However, the operations of Fig. 4 are not limited to operations between the terminal and the base station, and may be interpreted as operations between the first node and the second node. In addition, although Fig. 4 illustrates direct wireless signal transmission and reception operations between the terminal (110) and the base station (120), one or more intermediate points may exist between the terminal (110) and the base station (120), and wireless signals may be transmitted and received via one or more intermediate points.

[0075] Referring to FIG. 4, in step 101, the terminal (110) and the base station (120) perform synchronization. For example, the terminal (110) performs an initial cell search operation. Specifically, the terminal (110) can detect a synchronization signal for connection to at least one base station transmitted from the base station (120) according to a predefined rule. Here, the synchronization signal can include a plurality of synchronization signals classified according to structure or purpose (e.g., a first synchronization signal (e.g., a primary synchronization signal), a second synchronization signal (e.g., a secondary synchronization signal), etc.). Through this, the terminal (110) can confirm the boundary of a unit (e.g., a frame, a subframe, a slot, and / or a symbol) constituting a wireless signal transmission of the base station (120) and obtain information (e.g., a cell identifier) ​​about the base station (120).

[0076] In step 103, the terminal (110) obtains system information transmitted from the base station (120). The system information is information related to the properties, characteristics, and / or capabilities of the base station (120) required to access the base station (120) and use the service, and may be classified according to the content (e.g., whether it is essential for access), transmission structure (e.g., channel used, whether provided on-demand), etc., and may be classified into, for example, first system information (e.g., master information block (MIB), primary system information), second system information (e.g., system information block (SIB), secondary system information), etc. If necessary, the terminal (110) may transmit a signal requesting system information before receiving the system information. However, the request and provision of the system information may be performed after the random access procedure described below.

[0077] In step 105, the terminal (110) and the base station (120) perform a random access procedure. The terminal (110) may transmit and / or receive at least one message (e.g., a random access preamble, a random access response (RAR) message, etc.) for the random access procedure based on information related to a channel for the random access procedure of the base station (120) obtained through system information (e.g., a channel position, a channel structure, a structure of a supported preamble, etc.). For example, the terminal (110) may transmit a first message (e.g., a preamble, MSG1) through the channel for the random access procedure, receive a second message (e.g., an RAR message, MSG2), transmit a third message (e.g., MSG3) including information related to the terminal (110) (e.g., identification information) to the base station (120) using scheduling information included in the second message, and receive a fourth message (e.g., MSG4) for contention resolution and / or connection establishment. As another example, the first and third messages may be sent and received as one message, or the second and fourth messages may be sent and received as one message.

[0078] In step 107, the terminal (110) and the base station (120) perform signaling of control information. Here, the control information may be defined in various layers, such as a layer that controls a connection (e.g., a radio resource control (RRC) layer), a layer that handles mapping between logical channels and transport channels (e.g., a media access control (MAC) layer), and a layer that handles physical channels (e.g., a physical (PHY) layer). For example, the terminal (110) and the base station (120) may perform at least one of signaling for establishing a connection, signaling for determining settings related to communication, and signaling for indicating allocated resources.

[0079] In step 109, the terminal (110) and the base station (120) transmit and / or receive data. In other words, the terminal (110) and the base station (120) can process, transmit, and / or receive data based on the signaling of the control information. For example, when transmitting data, the terminal (110) or the base station (120) can perform at least one of channel encoding, rate matching, scrambling, constellation mapping, layer mapping, waveform modulation, antenna mapping, and resource mapping on the information bits. Conversely, when receiving data, the terminal (110) or the base station (120) can perform at least one of signal extraction from resources, waveform demodulation for each antenna, signal arrangement considering layer mapping, constellation demapping, descrambling, and channel decoding.

[0080]

[0081] Below, the core technologies of the 6G system are explained.

[0082] As core implementation technologies of the 6G system, technologies such as artificial intelligence (AI), THz (terahertz) communication, optical wireless technology, FSO backhaul network, massive MIMO technology, blockchain, 3D networking, quantum communication, unmanned aerial vehicles, cell-free communication, wireless information and energy transfer (WIET), integration of sensing and communication, integration of access backhaul networks, holographic beamforming, big data analysis, and large intelligent surface (LIS) can be adopted.

[0083]

[0084] Artificial intelligence

[0085] Incorporating AI into communications can streamline and improve real-time data transmission. AI can use numerous analytics to determine how complex target tasks should be performed. This means AI can increase efficiency and reduce processing delays. Time-consuming tasks such as handovers, network selection, and resource scheduling can be performed instantly using AI. AI can also play a crucial role in machine-to-machine (M2M), machine-to-human, and human-to-machine communications. Furthermore, AI can facilitate rapid communication in brain-computer interfaces (BCIs). AI-based communication systems can be supported by metamaterials, intelligent structures, intelligent networks, intelligent devices, intelligent cognitive radios, self-sustaining wireless networks, and machine learning.

[0086] The following describes a functional framework for AI / ML operations.

[0087] Below, to explain AI (or AI / ML) more specifically, the terms can be defined as follows.

[0088] - Data collection: Data collected from network nodes, management entities, or terminals as a basis for AI model training, data analysis, and inference.

[0089] - AI Model: A data-driven algorithm that applies AI technology to generate a set of outputs containing predictive information and / or decision parameters based on a set of inputs.

[0090] - AI / ML Training: An online or offline process of training an AI model by learning features and patterns that best represent the data and obtain a trained AI / ML model for inference.

[0091] - AI / ML Inference: The process of making predictions or inducing decisions based on collected data and the AI ​​model using a trained AI model.

[0092] Life Cycle Management (LCM) procedures for AI / ML models (i.e., model training, model deployment, model inference, model monitoring, model updates, etc.) can be divided into functionality-based LCM and model-based LCM. In functionality-based LCM, AI / ML models may not be identified by the network, and the network can direct the activation / deactivation / fallback / switching of AI / ML functionality. In model-ID (identifier)-based LCM, AI / ML models can be identified by the network, and the network / terminal can activate / deactivate / select / switch AI / ML models based on the model ID.

[0093] Figure 5 illustrates a general functional architecture for an AI / ML model.

[0094] In particular, Figure 5 illustrates a general functional architecture relevant to both Functionality-based LCM and Model-based LCM. Some of the functions or some of the data / information / command flows (i.e., arrows) illustrated in Figure 5 may be omitted.

[0095] Referring to FIG. 5, a general functional framework can be configured to include a data collection function (10), a model training function (20), a management function (30), an inference function (40), and a model storage function (50).

[0096] The Data Collection function (10) is a function that provides input data to the Model Training function (20), Management function (30), and Inference function (40). The Data Collection function (10) can perform data preparation based on raw data and provide input data processed through data preparation. Examples of raw data may include received data / measurement data from terminals or other network entities, inference / output of AI / ML models, etc. The Data Collection function (10) may be performed by a single entity (e.g., terminal, network node, etc.) or may be performed by multiple entities.

[0097] Here, training data (11) refers to data required as input for the AI / ML Model Training function (20). Monitoring data (12) refers to data required as input for the Management (30) of the AI / ML model or AI / ML function. Inference data (13) refers to data required as input for the AI / ML Inference function (30).

[0098] The Model Training function (20) is a function that performs AI / ML model training, validation, and testing, which can generate model performance metrics that can be used as part of the AI / ML model testing procedure. The Model Training function (20) can perform data preparation (e.g., data pre-processing and cleaning, forming, and transformation) based on the Training Data (11) transferred from the Data Collection function (10), if necessary.

[0099] Trained / Updated Model (21): If there is a Model Storage function (50), it is used to pass a trained, validated and tested AI / ML model to the Model Storage function (50) or to pass an updated version of the model to the Model Storage function (50).

[0100] The Management function (30) is a function that supervises the operation of the AI / ML model or AI / ML function. In addition, the Management function (30) may perform decisions to ensure appropriate inference operations based on data received from the Data Collection function (10) (i.e., Monitoring Data (12)) and / or data received from the Inference function (40) (i.e., Inference Output (41)).

[0101] Management Instruction (32) is information required as input to manage the Inference function (40). The relevant information may include selection / (de)activation / switching of an AI / ML model or AI / ML-based function, and may also include fallback to non-AI / ML operations (i.e., not relying on the inference process).

[0102] A Model Transfer / Delivery Request (33) can be used to request model(s) from Model Storage (50).

[0103] A Performance Feedback / Retraining Request (31) refers to information required as input to the Model Training function (20) (e.g., for the purpose of (re)training or updating the model).

[0104] The Inference function (40) is a function that provides output from the process of applying an AI / ML model or AI / ML function using data (i.e., Inference Data (13)) provided by Data Collection (10) as input. Data preparation (e.g., data preprocessing and cleaning, formatting, and transformation) may also be performed based on the Inference Data (13) delivered by Data Collection (10). If necessary, the Inference function (40) may also perform data preparation (e.g., data preprocessing and cleaning, forming, and transformation) based on the Inference Data (13) provided by Data Collection function (10).

[0105] Inference Output (41) is data used in the Management function (30) to monitor the performance of an AI / ML model or AI / ML function. Inference Output (41) may include the inference output of the AI / ML model generated by the Inference function (30), and the details of the inference output may vary depending on the use case.

[0106] The Model Storage function (50) stores a learned / updated model that can be used to perform the Inference function (40). The Model Storage function (50) illustrated in FIG. 5 can be used as a reference point (if any) when applicable to protocol termination, model transmission / delivery, and related processes. Furthermore, the Model Storage function (50) is merely an example and is not intended to limit the storage location of actual AI / ML models, and may be omitted.

[0107] Model Transfer / Delivery (51) is used to transfer AI / ML models to inference functions.

[0108] The level of cooperation can be defined as follows depending on the capability of AI / ML functions between multiple nodes, and variations due to combination of multiple levels or separation of any one level are also possible.

[0109] Cat 0a) No collaboration framework: AI / ML algorithms are purely implementation-based and do not require any changes to the wireless interface.

[0110] Cat 0b) This level corresponds to a framework with a modified wireless interface tailored to efficient implementation-based AI / ML algorithms, but without collaboration.

[0111] Category 1) involves inter-node support to improve the AI / ML algorithms of each node. For example, this applies when a specific node receives support from another node (for training, adaptation, etc.) and vice versa. At this level, model exchange between network nodes is not required.

[0112] Category 2) Joint AI / ML tasks can be performed across multiple nodes. This level requires the exchange of AI / ML model commands or network nodes.

[0113] FIG. 5 is a diagram illustrating an overall functional framework for an AI / ML model, and not all functions and / or all data / information / command signals illustrated in FIG. 5 may be performed within a specific node, but only some of them may be performed.

[0114] AI / ML models can be divided into one-side models and two-side models depending on whether training and / or inference are performed on a single node or jointly / sequentially on multiple nodes.

[0115] A one-side model can refer to an AI / ML model in which inference is performed entirely by a single node (e.g., a terminal or network). Here, AI / ML model training can also be performed entirely by a single node. AI / ML model training and inference can be performed by the same node, or they can be performed by separate nodes.

[0116] A two-side model can refer to an AI / ML model in which joint inference is performed across multiple nodes (e.g., terminals and networks). Joint inference refers to inference being performed jointly across multiple nodes. For example, the first part of the inference may be performed by a first node, and the remaining part by a second node. Two-side models can be categorized into several types depending on the training method of the AI / ML model, as follows:

[0117] - First type: AI / ML models can be trained on a single node. In this case, joint training can be performed. The trained model can then be distributed to other nodes / objects.

[0118] - Second type: Joint training of AI / ML models can be performed on multiple nodes / entities (e.g., networks and terminals). Joint training can mean that model generation (e.g., CSI generation part) and model reconstruction (CSI compression by sub-use case) are trained in the same loop for forward activation and backward gradient. In this type, joint training can include both simultaneous training (i.e., model generation training and model reconstruction training are performed simultaneously) and sequential training (i.e., model reconstruction training is performed after model generation training).

[0119] - Third type: Separate training of AI / ML models can be performed on multiple nodes (e.g., networks and terminals). Separate training may mean that training begins sequentially on one node and continues on other nodes. In this case, the first node first performs the AI / ML model and shares the training data with the second node. The second node can then use the shared training data to perform the AI / ML model. For example, training for the CSI generation part may be performed by the terminal, while CSI reconstruction may be performed by the network.

[0120] Figure 6 illustrates a communication procedure between a first node (e.g., terminal) and a second node (e.g., base station) to which an AI / ML model is applied.

[0121] The operations described in the present invention described below can be described / interpreted based on the AI / ML model as shown in Fig. 6 below, even without separate mention (i.e., without explicit mention of being by / based on / for the AI / ML model). In addition, unless specifically limited in the description of the present invention, the AI / ML model can correspond to a one-side model in which inference is entirely performed by a single node, or a two-side model in which joint inference is performed by multiple nodes.

[0122] Step 1: In the description of the present invention described below, signaling (e.g., information / data / channel / signal, etc.) or a set of signaling between a specific node (e.g., terminal, network, etc.) and another node can be interpreted as the signaling or set of signaling of the first step used to perform an operation based on an AI / ML model, even if there is no separate mention. For example, it can correspond to training data for training (i.e., generation and / or reconstruction) the AI / ML model of FIG. 5, or correspond to inference data used for inference of the AI / ML model, or correspond to feedback for the AI / ML model, etc. If signaling between nodes is not required prior to an operation based on an AI / ML model in the present invention, Step 1 can be omitted. If a one-side model is used in the present invention, the unidirectional / bidirectional signaling (set) in the present invention can correspond to the signaling of the first step. In addition, when a two-side model is used in the present invention, unidirectional / bidirectional signaling in the present invention may correspond to one stage of signaling, and also repetitive signaling operations may correspond to one stage of signaling.

[0123] For example, in AI / ML model-based beam management (BM), if a base station predicts (i.e., infers) beam(s) with good quality based on an AI / ML model, the base station can receive quality / intensity information for multiple beams from a terminal. Furthermore, if a terminal predicts (i.e., infers) beam(s) with good quality based on an AI / ML model, the terminal can receive multiple beams from the base station.

[0124] Step 2: In the description of the present invention described below, an operation (e.g., calculation, selection, prediction, etc.) in a specific node (e.g., terminal, network, etc.) or a joint operation (e.g., calculation, selection, prediction, etc.) in multiple nodes (e.g., terminal, network, etc.) may correspond to a two-step operation based on one or more functions in the functional framework of the AI / ML model, even if not mentioned separately. For example, it may correspond to training (i.e., generation and / or reconstruction) of the AI / ML model in FIG. 5 or inference of the AI / ML model, etc. When a one-side model is used, an operation performed by a single node in the present invention may correspond to a two-step operation, and also, when a two-side model is used, a joint operation performed by multiple nodes in the present invention may correspond to a two-step operation.

[0125] For example, in an AI / ML model-based BM, the base station can use quality / intensity information for multiple beams received from the terminal as inference data to predict (i.e., infer) beam(s) with good quality based on the AI / ML model. Furthermore, the terminal can measure multiple beams received from the base station and use the measurement results as inference data to predict (i.e., infer) beam(s) with good quality based on the AI / ML model.

[0126] Step 3: In the description of the present invention described below, the signaling (e.g., information / data / channel / signal, etc.) or set of signaling between a specific node (e.g., terminal, network, etc.) and another node can be interpreted as a three-stage signaling or set of signaling generated due to (as a result of) an operation based on an AI / ML model, even if not otherwise mentioned. For example, it can correspond to an output due to inference of the AI / ML model in FIG. 5. If signaling between nodes is not required as a result of an operation based on an AI / ML model in the present invention, Step 3 can be omitted. If a one-side model is used in the present invention, the one-way / two-way signaling (set) in the present invention can correspond to the three-stage signaling. In addition, if a two-side model is used in the present invention, the one-way / two-way signaling in the present invention can correspond to the three-stage signaling, and furthermore, a repetitive signaling operation can correspond to the three-stage signaling.

[0127] For example, in an AI / ML model-based BM, the base station can transmit to the terminal the beam(s) predicted based on the AI / ML model as candidates so that the terminal can determine the optimal beam. Furthermore, the terminal can report to the base station the beam(s) predicted based on the AI / ML model to request the base station to transmit the candidate beams as candidates for determining the optimal beam.

[0128]

[0129] <THz 통신(terahertz communication)>

[0130] Data rates can be increased by increasing bandwidth. This can be achieved by utilizing sub-THz communications with wide bandwidths and applying advanced massive MIMO technology. THz waves, also known as sub-millimeter waves, typically refer to the frequency range between 0.1 THz and 10 THz, with corresponding wavelengths ranging from 0.03 mm to 3 mm. The 100 GHz to 300 GHz band (sub-THz band) is considered a key part of the THz spectrum for cellular communications. Adding the sub-THz band to the mmWave band will increase the capacity of 6G cellular communications. Among the defined THz bands, 300 GHz to 3 THz lies in the far infrared (IR) frequency band. While part of the optical band, the 300 GHz to 3 THz band lies at the boundary of the optical band, immediately following the RF band. Therefore, this 300 GHz to 3 THz band exhibits similarities to RF.

[0131] Figure 7 illustrates the electromagnetic spectrum according to one embodiment of the present disclosure. The embodiment of Figure 7 can be combined with various embodiments of the present disclosure. Key characteristics of THz communications include (i) a widely available bandwidth to support very high data rates, and (ii) high path loss at high frequencies (highly directional antennas are essential). The narrow beamwidth generated by the highly directional antenna reduces interference. The small wavelength of THz signals allows for a much larger number of antenna elements to be integrated into devices and base stations operating in this band. This enables the use of advanced adaptive array techniques to overcome range limitations.

[0132] Transmitting system information (i.e., information related to the properties, characteristics, and / or capabilities of a BS required to use a service, such as MIB, SIB, etc.) in the THz frequency band may be inefficient because, as the beam width becomes narrower in high frequency bands, more beam sweeps must be performed to cover the entire area of ​​the cell. In particular, transmitting system information in this manner is even more inefficient when there are not many users in the cell. Accordingly, a system information transmission procedure such as that illustrated in FIG. 8 may be used.

[0133] Figure 8 illustrates an example of a procedure for transmitting system information for THz communications to which the present disclosure applies. While this example was developed with THz in mind, it is also applicable to 6G communication environments where THz is not applicable. Furthermore, the procedure illustrated in Figure 8 can be combined with various embodiments of the present disclosure described below. For example, the embodiments described below can be performed based on system information acquired through the procedure illustrated in Figure 8.

[0134] Referring to FIG. 8, in step 501, the base station (520) transmits system information of cell #1 through cell #2. That is, the base station (520) provides at least two cells, cell #1 uses a THz frequency band, and cell #2 uses a frequency band other than the THz frequency band. Here, the system information may include at least one information / state / parameter / setting generated in each of a higher layer and a physical layer. For example, the at least one information / state / parameter / setting generated in the higher layer may include at least one of SFN, control information setting for SIB1 (e.g., PDCCH configuration for SIB1, etc.), information related to cell selection / entry (e.g., cell barring, cell re-selection, etc.), and subcarrier spacing, and the at least one information / state / parameter / setting generated in the physical layer may include at least one of SFN, half frame indicator, and SSB index. However, this is merely an example, and system information may include information / status / parameters / settings related to Cell #1 / Cell #2 generated from various types of physical layers / upper layers. For this purpose, as an example, Cell #1 and Cell #2 may have a relationship as a secondary cell and a primary cell.

[0135] In step 503, UE (510) acquires synchronization for cell #1. Synchronization can be acquired by detecting a synchronization signal. Typically, synchronization is acquired before receiving system information. However, since system information for cell #1 is received from cell #2, synchronization acquisition for cell #1 can be performed after receiving the system information. For example, UE (510) can acquire synchronization based on system information. However, unlike FIG. 8, in another example, synchronization acquisition can be performed before step 501.

[0136] In step 505, the UE (510) transmits a signal for accessing cell #1. For example, the signal may include information for accessing cell #1 (e.g., a random access preamble, etc.). The structure of the signal and the resources for transmitting the signal (e.g., a channel) may be identified through system information. Thereafter, in step 507, the UE (510) and the base station (520) perform an access procedure for cell #1 and communicate. In this step, operations according to various embodiments described below may be performed.

[0137] The procedure described with reference to FIG. 8 may be performed when the UE (501) first connects to cell #1 of the base station (520). Alternatively, a similar procedure may be performed when the UE (501) hands over to cell #1 of the base station (520). However, in the case of handover, the system information of cell #1 may be received from a cell of a base station other than cell #2 of the base station (520).

[0138] Communications in the THz band are expected to experience extremely severe path loss, and to overcome this, terminals and base stations must use extremely sharp beams. The use of sharp beams means that terminals and base stations must perform beam control in addition to beamforming, and the number of beams used increases significantly. Consequently, it takes a very long time to align the transmit and receive beams between the base station and terminals. Furthermore, if the beam alignment between the base station and terminals is misaligned due to the movement or movement of the terminals, frequent re-alignment of the beams is required, which can lead to link instability. Accordingly, a beam management procedure, as illustrated in FIG. 9 below, may be employed.

[0139] FIG. 9 illustrates a beam management procedure applicable to the present disclosure. FIG. 9 illustrates an example of a procedure for searching and / or selecting beams for THz communication, but is not limited to a THz environment, and the present disclosure is applicable to a 6G communication environment. In addition, the procedure illustrated in FIG. 9 can be combined with various embodiments of the present disclosure described below. Here, a beam may be interpreted as 'spatial (setting) information', 'spatial domain filter', 'spatial domain transmission filter', 'spatial domain reception filter', or / and a term having an equivalent technical meaning that can distinguish the beam (e.g., Reference signal, SSB (Synchronization Signal Block) Index, TRP (transmission reception point), panel, cell, TP (transmission point), base station, control resource related information (e.g., CORESET (control resource set) related information, etc.).

[0140] Referring to FIG. 9, in step 601, the base station (620) configures resources for beam management. Here, the resources may include at least one of time-frequency resources, channels, and spatial resources (e.g., antenna ports). For example, the base station (620) may utilize a beam search signal (BSS) that is transmitted spatially separated from an existing downlink signal / channel for beam search. Here, the BSS may be transmitted based on a dedicated port for beam search. The dedicated port may be a different port from a port for transmitting an existing downlink signal / channel (e.g., a synchronization signal (e.g., SSB, etc.), a data channel (e.g., PDSCH, etc.)). BSS is a term defined for convenience of explanation, and the technical concept according to the present embodiment is not limited to the term BSS itself. That is, a signal transmitted based on a dedicated port defined / configured for beam search may be included in the technical concept according to the present embodiment.

[0141] In step 603, the base station (620) transmits measurement signals using a plurality of transmission beams. For example, the measurement signals may include at least one of a reference signal and a synchronization signal. At this time, the measurement signals may be transmitted as many times as the number of beams that require measurement, and may be transmitted in a multi-beam transmission method that forms a plurality of beams simultaneously to reduce the sweeping time. Here, the multi-beam transmission may be performed based on at least one of a multi-panel, a sub-array, and a true time delay (TTD).

[0142] In step 605, the UE (610) transmits a feedback signal to the base station (620). The feedback signal indicates at least one beam selected by the UE (610). The UE (610) may select at least one preferred beam based on the measurement signals received in step 603. In step 607, the UE (610) and the base station (620) perform communication. At this time, the UE (610) and the base station (620) may perform communication using the beam selected in step 605. If channel reciprocity is established, the transmission beam of the UE (610) may also be determined through steps 603 and 605, and thus, the transmission operation of the UE (610) may also be performed using the beam selected in step 605. If channel reciprocity is not established, a procedure including transmitting measurement signals of the UE (610) and transmitting feedback signals of the base station (620) may be performed to determine the transmission beam of the UE (610). In step 607, operations according to various embodiments described below may be performed.

[0143]

[0144] Non-terrestrial networks (NTN)

[0145] NTN can represent a network or network segment that uses radio frequency (RF) resources mounted on satellites (or unmanned aerial system (UAS) platforms).

[0146] FIG. 10 illustrates an example of a typical NTN scenario based on a transparent payload, according to an embodiment of the present disclosure. FIG. 11 illustrates an example of a typical NTN scenario based on a regenerative payload, according to an embodiment of the present disclosure. The embodiments of FIG. 10 or FIG. 11 may be combined with various embodiments of the present disclosure.

[0147] Referring to FIG. 10, a satellite (or UAS platform) can establish a service link with a UE. The satellite (or UAS platform) can be connected to a gateway via a feeder link. The satellite can be connected to a data network via the gateway. The beam footprint can refer to the area where the signal transmitted by the satellite can be received.

[0148] Referring to FIG. 11, a satellite (or UAS platform) can establish a service link with a UE. A satellite (or UAS platform) connected to a UE can be connected to another satellite (or UAS platform) via an inter-satellite link (ISL). The other satellite (or UAS platform) can be connected to a gateway via a feeder link. Based on the replay payload, a satellite can be connected to a data network through another satellite and the gateway. If an ISL does not exist between a satellite and another satellite, a feeder link between the satellite and the gateway may be required.

[0149] Figures 10 and 11 are only examples of NTN scenarios, and NTN can be implemented based on various scenarios. For example, a satellite (or UAS platform) can implement a transparent or regenerative (with onboard processing) payload. For example, a satellite (or UAS platform) can generate multiple beams over a designated service area depending on the field of view of the satellite (or UAS platform). For example, the field of view of the satellite (or UAS platform) can vary depending on the onboard antenna diagram and minimum elevation angle. For example, a transparent payload can include radio frequency filtering, frequency conversion, and amplification. Therefore, the waveform signal repeated by the payload may not be changed. For example, a regenerative payload can include radio frequency filtering, frequency conversion and amplification, demodulation / decoding, switching and / or routing, and coding / modulation. For example, a regenerative payload could be substantially equivalent to carrying all or part of the base station functionality on a satellite (or UAS platform).

[0150]

[0151] Integrated Sensing and Communication (ISAC)

[0152] Wireless sensing is a technology that uses radio frequencies to determine the instantaneous linear velocity, angle, distance (range), etc. of an object, thereby obtaining information about the characteristics of the environment and / or objects within the environment. Because radio frequency sensing does not require a networked device to connect to the object, it can provide a service for object positioning without a device. The ability to obtain range, velocity, and angle information from radio frequency signals can enable a wide range of new capabilities, such as various object detection, object recognition (e.g., vehicles, humans, animals, UAVs), and high-precision localization, tracking, and activity recognition. Wireless sensing services can provide information to a variety of industries (e.g., drones, smart homes, V2X, factories, railways, public safety, etc.), enabling applications such as intruder detection, assisted vehicle steering and navigation, trajectory tracking, collision avoidance, traffic management, and health and traffic management. In some cases, wireless sensing can utilize non-3GPP type sensors (e.g., radar, cameras) to further support 3GPP-based sensing. For example, the operation of wireless sensing services, i.e., sensing operations, may depend on the transmission, reflection, and scattering of wireless sensing signals. Therefore, wireless sensing offers an opportunity to enhance existing communication systems from a communications network to a wireless communication and sensing network.

[0153] FIG. 12 illustrates an example of a sensing operation according to an embodiment of the present disclosure. The embodiment of FIG. 12 can be combined with various embodiments of the present disclosure. Specifically, FIG. 12(a) illustrates an example of sensing using a sensing receiver and a sensing transmitter located at the same location (e.g., monostatic sensing), and FIG. 12(b) illustrates an example of sensing using a separated sensing receiver and sensing transmitter (e.g., bistatic sensing).

[0154] For example, in a wireless communication system based on a 6G network of the present specification, referring to FIG. 12(a), the sensing transmitter and the sensing receiver may be configured to be included in a single base station (i.e., the same base station) or a single terminal (i.e., the same terminal). Alternatively, referring to FIG. 12(b), the sensing transmitter and the sensing receiver may be configured to be included in different base stations, different terminals, or each terminal and base station.

[0155] In this regard, the following six types of sensing modes can be defined based on whether the sensing transmitter and sensing receiver are included in the base station or the terminal, respectively.

[0156] - Mode 1: A mode in which the sensing transmitter and sensing receiver are contained in a single base station (e.g., base station-based sensing mode in monostatic mode).

[0157] - Second mode: A mode in which the sensing transmitter is included in a first base station and the sensing receiver is included in a second base station different from the first base station (e.g., base station-based sensing mode in bistatic mode).

[0158] - Mode 3: A mode in which the sensing transmitter is included in the base station and the sensing receiver is included in the terminal (e.g., base station-terminal sensing mode).

[0159] - Mode 4: A mode in which the sensing transmitter is included in the terminal and the sensing receiver is included in the base station (e.g., terminal-base station sensing mode).

[0160] - Mode 5: A mode in which the sensing transmitter and sensing receiver are contained in a single terminal (e.g., terminal-based sensing mode in monostatic mode).

[0161] - 6th mode: A mode in which the sensing transmitter is included in a first terminal and the sensing receiver is included in a second terminal different from the first terminal (e.g., terminal-based sensing mode in bistatic mode).

[0162] In a wireless communication system based on a 6G network of the present specification, one or more of the six types of sensing modes described above may be utilized independently / in combination.

[0163] In relation to the sensing operation in FIG. 12, the sensing transmitter may transmit a sensing signal for sensing one or more objects (and / or an environment around the objects). For example, the sensing signal may correspond to a radio (frequency) signal defined to be transmittable by a base station / terminal in a wireless communication system based on a 6G network of the present specification. The sensing receiver may receive a signal scattered / reflected by one or more objects (and / or an environment around the objects) from a sensing signal transmitted from the sensing transmitter. In the sensing receiver, sensing data may be derived from the scattered / reflected signals, and sensing results may be generated / obtained through processing of the sensing data. Here, the sensing results may include characteristic information (e.g., location, distance, speed, angle, etc.) about one or more objects (and / or the environment around the objects). The sensing results generated / obtained in this way may be utilized for wireless sensing services (e.g., detection, tracking, etc. of objects and / or environments) provided in the wireless communication system based on the 6G network of the present specification, or may be provided / disclosed to a trusted third party.

[0164] Additionally, the sensing operation in FIG. 12 is described as a representative example of the operation in a wireless communication system based on a 6G network, but can be extended and applied to cases where terminals / base stations / signals based on networks of previous generations (e.g., 4G, 5G, etc.) are utilized.

[0165] Additionally, with respect to the wireless sensing described herein, in a wireless communication system based on a 6G network of the present specification, time / frequency resources for sensing operations and time / frequency resources for general communications (e.g., UL / DL / sidelink-based communications, etc.) may be scheduled / configured separately.

[0166] FIG. 13 illustrates time / frequency resources for sensing operations according to one embodiment of the present disclosure. The embodiment of FIG. 13 may be combined with various embodiments of the present disclosure.

[0167] Referring to FIG. 13, time / frequency resources (hereinafter, sensing resources) for the aforementioned sensing operation (e.g., sensing operation based on FIG. 10) can be set / allocated separately from time / frequency resources (hereinafter, communication resources) for general communication.

[0168] For example, as illustrated in FIG. 13, sensing resources can be set / allocated in units of symbols in the time domain and / or resource blocks in the frequency domain. Resources other than those for which the sensing resources are set / allocated can be utilized as resources for general communication. That is, sensing resources and communication resources can be set / allocated based on a time-division multiplexing (TDM) scheme and / or a frequency-division multiplexing (FDM) scheme in terms of the operation of the base station / terminal. Additionally or alternatively, unlike what is illustrated in FIG. 12, sensing resources can also be set / allocated based on other units in the time domain (e.g., slots, frames, absolute time (ms, us), etc.) and / or other units in the frequency domain (e.g., subcarriers, carriers, absolute frequencies (MHz, GHz), etc.).

[0169] Additionally or alternatively, in connection with the setting / allocation / scheduling of resources for general communication as described herein, the relationship between the resources and the aforementioned sensing resources may need to be considered. For example, when setting / allocating resources for general communication according to the embodiment(s) of the present disclosure, the resources may be set / allocated to rate-match or puncture the resource region corresponding to the sensing resource. For example, when scheduling resources for general communication according to the embodiment(s) of the present disclosure, the resources may be scheduled so as not to overlap with the resource region corresponding to the sensing resource. If the resources for general communication according to the embodiment(s) of the present disclosure and the resource region corresponding to the sensing resource are set / allocated / scheduled to overlap, one or both operations may be dropped, skipped, or postponed based on priorities, predefined rules, etc. That is, in the embodiment(s) of the present specification, it may be desirable that resources related to general communication (e.g., resources for signals / channels related to UL / DL / Sidelink-based data / control, etc.) are set / allocated / scheduled so as not to overlap with the sensing resources described above.

[0170] Additionally, various channel modeling methods may be applied in connection with the wireless sensing described herein. Channel modeling related to sensing may refer to configuring a path for transmitting and receiving sensing signals and / or scattered / reflected signals, taking into account the object being sensed and / or the environment in which the object resides. Channel modeling may be related to the performance / requirements of sensing in wireless communication systems, and thus may be an important factor in validating the sensing function.

[0171] Channels related to sensing can be divided into channels between objects (e.g., targets of interest) and sensing transmitters / receivers, and channels between the environment to which the object belongs and sensing transmitters / receivers. In this regard, channel modeling related to sensing can be divided based on sensing mode (e.g., the six types of modes described above), whether there is an object / environment, and / or sensing scenarios. For example, channel modeling for a target in a base station / terminal-based monostatic sensing mode, channel modeling for a target in a base station / terminal-based bistatic sensing mode, channel modeling for the environment in a base station / terminal-based monostatic sensing mode, and channel modeling for the environment in a base station / terminal-based bistatic sensing mode can be configured and optimized differently. For example, when various sensing scenarios are classified, channel modeling for detection, location, and tracking scenarios, channel modeling for motion recognition, and channel modeling for imaging / environment reconstruction scenarios can be divided, etc. Additionally, channel modeling related to sensing may be based on statistical channel modeling techniques and / or deterministic channel modeling techniques. For example, modeling for sensing in a wireless communication system based on a 6G network of the present disclosure may be based on stochastic geometric channel modeling techniques and / or hybrid with ray tracing channel modeling techniques. Here, the stochastic geometric channel model may be based on various statistical characteristics of the channel state. Furthermore, the hybrid channel model may be based on both ray tracing techniques and stochastic techniques.In a hybrid approach, channels for objects requiring high accuracy and consistency (e.g., targets of interest) can be modeled using ray tracing techniques, while channels for the environment can be modeled using probabilistic techniques.

[0172] FIG. 14 illustrates a procedure related to a sensing operation according to one embodiment of the present disclosure. The embodiment of FIG. 14 may be combined with various embodiments of the present disclosure.

[0173] For example, in a wireless communication system based on a 6G network of the present specification, in the case of a sensing operation in which a terminal participates, the base station may need to verify the capability of the terminal for the sensing operation. In this regard, the terminal may be configured to report capability information on whether it supports the sensing operation to the base station. Additionally or alternatively, if the terminal is defined in advance in the standard as supporting the sensing operation, the procedure may be omitted. In addition, in the case of a sensing operation in which only the base station participates, the base station may be configured to report capability information on whether it supports the sensing operation to an entity that configures / controls its sensing operation (e.g., a network entity at an upper level / layer of the base station).

[0174] For example, the base station can perform signaling with the terminal to exchange configuration information related to the sensing operation. For example, the base station can configure / instruct the terminal information about the mode of the sensing operation (e.g., based on the six types of modes described above), the subject of the sensing operation (e.g., sensing transmitter, sensing receiver), the resource of the sensing operation (e.g., sensing resource as in FIG. 13), the target of utilizing the sensing result (e.g., type of wireless sensing service based on 6G network, trusted third party), channel modeling for sensing (e.g., channel between the base station / terminal and object / environment), etc. For example, the base station can also configure / instruct such information from a network entity at an upper level / layer of the base station.

[0175] For example, the base station and / or the terminal may perform a sensing operation based on the set / instructed information. For example, the base station and / or the terminal may, as a sensing transmitter and / or a sensing receiver, perform procedures such as transmitting the aforementioned sensing signal, receiving scattered / reflected signals, deriving sensing data, obtaining sensing results through processing the sensing data, and providing the sensing results. For example, in the operations of the base station / terminal described herein, the sensing results provided through the sensing operation may be utilized.

[0176]

[0177] <LP-WUS (low-power Wake-up Signal)과 LP-WUR (Low-Power Wake-up Receiver)>

[0178] 3GPP standard release 19 supports LP-WUS (low-power Wake-up Signal) and LP-WUR (Low-Power Wake-up Receiver) to reduce power consumption of terminals, and is discussing the development of technologies utilizing these.

[0179] In the present disclosure, the MR (Main Radio) receiver refers to a receiver for receiving signals according to the general 3GPP NR standard, and can be utilized to receive OFDM signals, etc., according to the NR standard. In other words, a receiver currently configured in a standard terminal can be understood as an MR (Main Radio) receiver. LP-WUR refers to a receiver that can be newly configured in a terminal to receive a low-power signal, and can receive newly designed low-power signals such as LP-WUS (Low-Power Wake-up Signal) or LP-SS (Low-Power Synchronization Signal), and can generally have the characteristics of being configured with low cost and low power consumption.

[0180] In this disclosure, it is assumed that the UE has both an MR (Main Radio) receiver and an LP-WUR. In particular, in this disclosure, the MR receiver may be abbreviated as MR, and the LP-WUR may be abbreviated as LR.

[0181] Low-power signals, such as LP-WUS or LP-SS, can be transmitted differently from signals transmitted with the current general OFDM symbol structure in the resource configuration of the time / frequency axis in the NR standard. For example, LP-WUS is modulated with OOK (On-Off Keying) to match the slot or symbol structure of the time axis, but can be transmitted in a way that does not match the RE (Resource Element) structure of the frequency axis. That is, since LP-WUS is represented as 1 if there is a signal within a specific time interval, and 0 if there is no signal, the terminal can receive the signal simply by energy detection or envelope detection within a specific time interval. It can also be considered that the OOK symbol of such LP-WUS has an OFDM sequence overlaid for spectrum flattening, or to increase transmission coverage or transmit additional information. In particular, overlaying of OFDM sequences can be implemented by multiplying the waveform of the sequence by the ON region of the ON-OFF KEYING symbol.

[0182] The structure of LP-WUR is being discussed from various perspectives, and in particular, the power consumption of LP-WUR in the on-state and off-state may vary depending on the structure. Accordingly, if the on-state power consumption of LP-WUR is significant enough to be ignored (or for other reasons), the terminal may be required to activate or deactivate LP-WUR. To this end, the terminal may define an entry condition for entering the LP-WUR activation state and an exit condition for exiting the activation state.

[0183] Meanwhile, LP-WUS may include a payload transmitted in the OOK format described above. Generally, the payload can be said to contain information actually indicated to the terminal. Additionally, it may consist of a preamble for other purposes (e.g., synchronization acquisition) and an OFDM sequence overlaid on the OOK symbol. In other words, LP-WUS can be said to include information transmitted via the payload and information transmitted via the overlaid OFDM sequence.

[0184] LP-WUR can be defined by dividing it into two types.

[0185] (1) LP-WUR Type #1: WUR capable of energy detection or amplitude detection only.

[0186] (2) LP-WUR Type #2: WUR capable of sequence detection

[0187] LP-WUR Type #1 focuses on low cost and is a WUR capable of only energy detection, i.e., determining the presence or absence of a signal. Therefore, it is a receiver capable of receiving only OOK symbols, i.e., information transmitted through the payload.

[0188] LP-WUR Type #2 is a higher-cost WUR than Type #1, capable of detecting OFDM sequences and energy detection. Therefore, it is a receiver capable of receiving not only the payload but also information transmitted via overlaid OFDM sequences. Furthermore, it can also receive the PSS / SSS of existing NR signals.

[0189]

[0190] <LP-WUS 및 LP-WUR를 이용한 RRM (Radio Resource Management) 측정>

[0191] Recently, various scenarios and candidate technologies utilizing LP-WUS / LP-WUR have been discussed. Maintaining MR in an inactive state (e.g., powered off or in ultra-deep sleep) for extended periods of time can yield significant power savings.

[0192] Meanwhile, UEs in IDLE / INACTIVE mode must perform RRM measurements regularly to handle mobility. According to the 3GPP standard, UEs perform RRM measurements for the serving cell at least once per DRX cycle or per a specific number of DRX cycles. Typically, RRM measurements may involve measuring Reference Signal Received Power (RSRP) and Reference Signal Received Quality (RSRQ) for a specific signal (e.g., SSB) and calculating the Cell Selection RX Level, or Srxlev, based on these measurements.

[0193] For convenience, in this disclosure, it is assumed that the DRX (discontinuous reception) cycle is greater than 0.64 seconds and the SMTC (SSB-based RRM measurement timing configuration) periodicity is less than 20 ms and FR1 is assumed. According to this assumption, it can be said that the terminal performs RRM measurement for every DRX cycle. Although the following exemplifies performing RRM measurement for every DRX cycle, the proposed methods do not specifically limit the period of RRM measurement. That is, although the operations of this disclosure are proposed and described based on the operation of performing RRM measurement for every DRX cycle, the same can be applied to the operation of performing RRM measurement for a certain number of DRX cycles.

[0194] This disclosure proposes RRM measurement using LP-WUS / LP-WUR. Furthermore, the target signal for RRM measurement can be varied to allow MR and LR to perform RRM measurements conditionally. Furthermore, the RRM measurement operation can vary depending on the type of LP-WUR supported by the terminal. In other words, RRM measurement performed with LP-WUR can be performed differently depending on whether the terminal can receive OFDM sequences with LP-WUR. To this end, individual RRM measurement thresholds and corresponding operations can be defined for each LP-WUR.

[0195]

[0196] First, this disclosure proposes an LP-WUR-based RRM measurement operation that is distinguished according to the LP-WUR type supported by the terminal. That is, the RRM measurement operation is proposed for cases where the terminal supports LP-WUR type #1 and LP-WUR type #2. In particular, the proposals include setting a threshold value that serves as a criterion for cell quality measurement, terminal operation according to each LP-WUR type, and the corresponding cell reselection procedure of the terminal.

[0197] Although the present disclosure describes a proposed method based on periodic or receivable LP-WUS (and LP-SS) or SSB, it will be understood by those skilled in the art that the methods proposed in the present disclosure are not limited thereto and can be extended and applied to all signals that a terminal receives with a certain periodicity. Therefore, it is self-evident that the methods proposed in the present disclosure can be applied to all types of transmission and reception methods expected by a base station and a terminal, as long as the principles of the invention are not violated, even without a separate description.

[0198] Hereinafter, the present disclosure provides examples based on the NR system to explain the principles of the invention. However, the proposed methods are not limited to a specific NR transmission / reception form unless otherwise specified. Therefore, it is self-evident that the methods proposed in the present disclosure can be applied to all wireless communication transmission / reception structures and services without a separate description, as long as the principles of the invention are not violated. The distinction between each method or option in the following description is intended to clarify the explanation and is not to be construed as limiting the meaning that each must be implemented as an independent invention. For example, the methods / options described below can be implemented individually, but at least some of them can be implemented in a combined form as long as they do not conflict with each other.

[0199]

[0200] [Method #1] Setting thresholds according to LP-WUR type

[0201] When a terminal performs RRM measurement to measure cell quality, the threshold value may be set differently depending on the LP-WUR type supported by the terminal.

[0202] In the current 3GPP standard, the UE performs RRM measurement on SSB with MR at least once per DRX cycle, derives the cell selection RX level (Srxlev) from the measurement results (e.g., SS-RSRP and SS-RSRQ), and compares it with a specific threshold. If the measurement result is greater than the threshold, the signal reception quality in the corresponding cell is determined to be guaranteed, and the current camping cell is maintained. If the measurement result is lower than the threshold, the camping cell change procedure, cell reselection procedure, is performed. To reduce power consumption, a method may be proposed to measure the quality of the camping cell using LP-WUR instead of MR. This can be called RRM measurement offloading, and since LP-WUR can perform the operations that the MR should perform, it is expected to have the effect of reducing power consumption by not waking up the MR every DRX cycle depending on the system requirements.

[0203] LP-WUR can perform RRM measurements targeting LP-SS. LP-SS, like the aforementioned LP-WUS, can include a signal modulated with OOK and an OFDM sequence overlaid on the OOK symbol. Therefore, LP-WUR type #1 can receive only the portion of information transmitted by LP-SS corresponding to the OOK symbol, and LP-WUR type #2 can receive information transmitted via the overlaid OFDM sequence in addition to the information that LP-WUR type #1 can receive. In other words, LP-WUR type #2 can receive a relatively large amount of information.

[0204] Because the information that can be received varies depending on the type of LP-WUR, the thresholds that serve as the basis for comparing measurement results may also need to be set differently. Depending on the type of LP-WUR used by the terminal to perform RRM measurements and the target signal, thresholds can be set as follows:

[0205] - Threshold #1 for measurements targeting LP-SS with LP-WUR type #1

[0206] - Threshold #2 for measurements targeting LP-SS with LP-WUR type #2

[0207] - Threshold #3 for measurements targeting SSB with LP-WUR type #2

[0208] Threshold #1 is a reference value for comparing the measurement results of LP-WUR type #1 performing energy detection or envelope detection on LP-SS. That is, the terminal can compare the result of RRM measurement on LP-SS performed by LP-WUR type #1 with threshold #1, and if it is greater, it can operate to maintain camping cells. In some cases, it can also be applied to terminals supporting LP-WUR type #2 when measuring LP-SS by energy detection.

[0209] Threshold #2 is a reference value for comparing the measurement results of LP-WUR type #2 performing sequence detection on LP-SS. That is, the terminal can compare the result of RRM measurement for LP-SS performed by LP-WUR type #2 with threshold #2, and if the result is greater, it can operate to maintain the camping cell. Alternatively, the result of measurement for the signal received for the overlaid sequence by LP-WRU type #2 by sequence detection and for the OOK symbol by energy detection can be compared with threshold #2. This may vary depending on how the terminal of LP-WUR type #2 operates. Each threshold can be more explicitly divided into threshold #2-1 for the result measured by sequence detection only, and threshold #2-2 for the result measured by performing both sequence detection and energy detection.

[0210] Threshold #3 is a reference value for comparing the measurement results of SSB sequence detection by LP-WUR type #2. That is, the terminal can compare the result of RRM measurement for SSB by LP-WUR type #2 with threshold #3, and if it is greater, it can operate to maintain the camping cell. This is an operation that is possible only by LP-WUR type #2, and since LP-WUR type #2 can receive and decode OFDM sequences, it can receive PSS / SSS, which are synchronization signals among existing SSB signals, and perform RRM measurement based on them. Even in this case, it may be a different value from the threshold value for the measurement value of SSB-based RRM measurement performed by the existing MR. This may be because LP-WUR is configured to be relatively low-cost / low-power.

[0211] These thresholds for RRM measurements may differ from the thresholds used by the terminal to determine whether to activate LP-WUS monitoring. When the terminal first accesses a cell or satisfies certain conditions while LP-WUS monitoring is disabled, the terminal reactivates LP-WUR to perform LP-WUS monitoring. The condition for determining whether to activate LP-WUS monitoring at this time may also be a method of comparing the result measured by attempting to monitor LP-WUS or LP-SS with a threshold for activation. Accordingly, the terminal can activate LP-WUS monitoring by satisfying other conditions and perform RRM measurement using LP-WUR. At this time, LP-WUS monitoring can operate for a certain period of time after activation. In other words, if the result measured by the terminal attempting to monitor LP-WUS or LP-SS is greater than the threshold for activation, LP-WUS monitoring can operate as valid for a certain period of time. Afterwards, the terminal may perform an operation of comparing the results of the RRM measurement with a threshold for activation and a threshold for other cell quality measurements.

[0212]

[0213] [Method #2] Terminal operation by LP-WUR type

[0214] The terminal can perform LP-WUR-based RRM measurements on the following signals.

[0215] - OOK symbols of LP-WUS and / or LP-SS

[0216] - PSS / SSS

[0217] - Overlaid OFDM sequence

[0218] In particular, for LP-WUR-based RRM measurements using PSS / SSS, assistance from PBCH DRMS ​​and TRS may be received. In addition, the overlaid OFDM sequences can be divided into the overlaid OFDM sequences that constitute LP-WUS and the overlaid OFDM sequences that constitute LP-SS.

[0219] For LP-WUS / LP-SS transmitted modulated with OOK symbols, LP-WUR type #1 terminals or (in some cases) LP-WUR type #2 terminals can receive energy detection. LP-WUR type #1 terminals can perform LP-WUR-based RRM measurements only for the corresponding signals, i.e., LP-WUS / LP-SS transmitted modulated with OOK symbols.

[0220] PSS / SSS is a signal for terminals that follow the current 3GPP standard to perform RRM measurement with MR. LP-WUR type #2 terminals can receive it and perform LP-WUR-based RRM measurement. When a LP-WUR type #2 terminal can receive PSS / SSS, it can operate to not receive LP-SS or to utilize it in a supplementary manner in addition to LP-SS reception.

[0221] The overlaid OFDM sequence of LP-WUS / LP-SS can be received by a terminal of LP-WUR type #2, and the information that can be transmitted through it can be the same information as the payload or a pre-defined sequence, etc. That is, a terminal of LP-WUR type #2 can receive, in addition to the information corresponding to the OOK symbol, additional information that can be helpful for RRM measurement.

[0222] Meanwhile, a terminal of LP-WUR Type #1 receives LP-WUS or LP-SS as energy detection and performs LP-WUR-based RRM measurements. To improve measurement accuracy, a single measurement result can be derived based on multiple receptions. The terminal can compare the measurement result with threshold #1, and if it is not significantly higher, it can determine that the camping cell quality is insufficient.

[0223] Terminals of LP-WUR type #2 may have different defined operations depending on the target signal for which LP-WUR-based RRM measurements can be performed.

[0224] A terminal of LP-WUR type #2 performs LP-WUR-based RRM measurement by receiving LP-WUS or LP-SS by energy detection or sequence detection. To improve measurement accuracy, a single measurement result may be derived based on multiple receptions. A terminal of LP-WUR type #2 may perform energy detection for OOK symbols of LP-WUS / LP-SS and sequence detection for overlaid OFDM sequences. Different threshold values ​​may be applied depending on whether a terminal of LP-WUR type #2 operates only with sequence detection or also utilizes energy detection.

[0225] A terminal with LP-WUR type #2 can receive PSS / SSS and perform LP-WUR-based RRM measurements on it. Since the terminal can receive OFDM sequences with LP-WUR, it may be advantageous to reuse the signal already used for RRM measurements rather than receiving a new low-power signal to perform LP-WUR-based RRM measurements. If the measurement result is not greater than the threshold, the terminal can determine that the camping cell quality is insufficient.

[0226] The operation of the terminal receiving PSS / SSS and performing LP-WUR-based RRM measurement can be defined / configured as a basic operation or an optional operation (or auxiliary operation). If performing RRM measurement targeting PSS / SSS is the basic operation of the terminal of LP-WUR type #2, RRM measurement may not be performed targeting LP-WUS / LP-SS. If performing RRM measurement targeting PSS / SSS is the optional operation (or auxiliary operation) of the terminal of LP-WUR type #2, the terminal performs RRM measurement targeting LP-WUS / LP-SS with priority.

[0227] If the accuracy (or reliability) of the LP-WUR-based RRM measurement results for LP-WUS / LP-SS is insufficient or the reception performance is determined to be poor, the terminal may attempt LP-WUR-based RRM measurement for PSS / SSS. The threshold values ​​for each target signal may be set separately. When the terminal performs LP-WUR-based RRM measurement for PSS / SSS, it may be configured to operate more times than when performing measurements using MR.

[0228] A terminal with LP-WUR type #2 can perform LP-WUR-based RRM measurement by receiving both LP-WUS / LP-SS and PSS / SSS. In order to avoid indiscriminate comparison of measurement results for different measurement signals, the terminal operation can be configured to perform measurement for only one type of signal (e.g., one of the existing NR signal and the new low-power signal) in a specific time unit. For example, the terminal can perform LP-WUR-based RRM measurement for only one type of signal among PSS / SSS and LP-WUS / LP-SS within one DRX cycle (or a window of a certain slot unit). Cell quality can be measured by comparing the signal of each type with the above-defined threshold within one DRX cycle.

[0229] The terminal can be configured in advance through system information, etc., regarding what type of signal it should perform LP-WUR-based RRM measurement on.

[0230] LP-WUR-based RRM measurement operations for terminals of LP-WUR Type #2 can be defined to be performed step by step. For example, LP-WUR-based RRM measurements can be configured to prioritize low-power signals of LP-WUS / LP-SS. Examples of terminal operations are as follows.

[0231] (1) Example 1 of operation (A and D below may be excluded depending on the settings)

[0232] A. Measurement using only overlaid OFDM sequences

[0233] B. Measurement with overlaid OFDM sequence and OOK symbol

[0234] C. Measured by PSS / SSS

[0235] D. SSB-based RRM measurement by MR

[0236] (2) Terminal operation example 2

[0237] a. Measured with OOK symbol only

[0238] b. Measurement with OFDM sequence overlaid with OOK symbol

[0239] c. Measured by PSS / SSS

[0240] d. SSB-based RRM measurement by MR

[0241]

[0242] [Method #3] Triggering the cell reselection procedure

[0243] A terminal of the NR standard starts measurements on neighboring cells indicated by the serving cell if the serving cell does not satisfy the cell selection criterion S during consecutive N_serv DRX cycles. Here, the cell reselection criterion S is when the RRM measurement performance result (SS-RSRP, SS-RSRQ) is greater than a threshold.

[0244] When the terminal performs LP-WUR-based RRM measurement, the cell reselection criterion S2 can be defined as a case where the measurement result targeting LP-WUS / LP-SS is greater than the thresholds defined above. The terminal performs LP-WUR-based RRM measurement, and if the cell reselection criterion S2 is not satisfied for consecutive N_serv DRX cycles, the terminal can start the cell reselection procedure. In other words, even if the terminal is operating with LP-WUR activated, if the cell quality is determined to be insufficient, the terminal can start the cell reselection procedure immediately.

[0245] Alternatively, when the UE performs LP-WUR-based RRM measurement, a criterion S_LP (e.g., LP-WUR RRM maintenance criterion) may be defined for whether the measurement operation continues. S_LP may be defined as a case where the result of the RRM measurement using LP-WUR is greater than a threshold value for each target signal (e.g., threshold #1, threshold #2, threshold #3, etc.). If the serving cell does not satisfy the criterion S_LP during consecutive N_serv_LP DRX cycles, the UE stops the measurement using LP-WUR and activates MR to perform the existing RRM measurement operation again. The UE may perform RRM measurement using MR and initiate a cell reselection procedure according to the standard operation, or deactivate MR again and return to the operation using LP-WUR.

[0246] If the cell reselection criterion S2 based on the result of performing LP-WUR-based RRM measurement on the terminal is not defined and only the cell reselection criterion S is applied, for LP-WUR type #1 terminals, N_serv can act as a requirement that the terminal activates MR at regular intervals. For example, the terminal must measure SS-RSRP / SS-RSRQ at least once per N_serv DRX cycle, so it operates to ensure that it is activated at regular intervals. In addition, for LP-WUR type #2 terminals, N_serv can act as a requirement that the terminal must measure RRM measurements targeting PSS / SSS at regular intervals. For example, the terminal must measure SS-RSRP / SS-RSRQ at least once per N_serv DRX cycle, so even if RRM measurements are performed on LP-WUS / LP-SS, RRM measurements must be measured on PSS / SSS at regular intervals. Depending on the set terminal operation, PSS / SSS can be measured with LP-WUR or PSS / SSS can be measured with MR.

[0247]

[0248] [Method #4] Measurement priority of terminals with LP-WUR type #2

[0249] A terminal of LP-WUR type #2 can perform LP-WUR-based RRM measurement targeting LP-SS and PSS / SSS (or SSB). In addition, the entry condition and exit condition for continuously determining whether the terminal monitors LP-WUS other than RRM measurement can also target LP-SS and PSS / SSS. Therefore, a terminal of LP-WUR type #2 can determine a reference signal for measurement by giving priority to one of two different signals depending on the configuration / instruction. The measurement operation of a terminal of LP-WUR type #2 with signal priority can be based on the examples 1) to 5) below.

[0250]

[0251] Example 1) A terminal of LP-WUR type #2 can be measured with priority given to LP-SS.

[0252] - Terminals of LP-WUR type #2 receive LP-SS as a priority for measurement.

[0253] The LP-SS measurement of the terminal can be performed separately for the measurement of the overlaid sequence and the measurement of the OOK symbol, as in [Method 2] described above.

[0254] The terminal may perform measurements via (1) OOK of LP-SS, (2) overlaid sequence of LP-SS, or (3) OOK and / or overlaid sequence depending on the LP-WUR implementation.

[0255] - If a terminal of LP-WUR type #2 fails to measure LP-SS for a certain period of time or if the measured value does not exceed the threshold for a certain number of times, measurement can be performed using PSS / SSS as the target signal. (This step may be omitted depending on the settings / instructions.)

[0256] - If the result measured by PSS / SSS of a terminal of LP-WUR type #2 does not exceed the threshold (for a certain number of times or for a certain period of time), signal reception using LP-WUR is stopped, and MR is activated to perform subsequent measurement operations.

[0257] - Or, if the LP-SS and / or PSS / SSS measurement results of a terminal of LP-WUR type #2 as described above do not satisfy the above criteria, a cell reselection procedure may be initiated to re-perform serving cell measurement with MR or skip this and perform adjacent cell measurement.

[0258] Among the processes described above, threshold values ​​for the terminal's measurement values, the time for which the threshold value is not exceeded, the number of times, etc. can be set in the terminal.

[0259]

[0260] Example 2) Terminals of LP-WUR type #2 can measure PSS / SSS with priority.

[0261] - Terminals of LP-WUR type #2 receive PSS / SSS with priority.

[0262] - The terminal can operate by receiving PSS / SSS to check the activation / deactivation conditions of LP-WUS monitoring or to perform RRM measurement.

[0263] The signal quality of the LP-SS can be measured based on the signal quality of the measured PSS / SSS through the transmission power ratio. At this time, the transmission power ratio can be the ratio of the transmission power of the LP-SS to the transmission power (or EPRE) of the PSS or SSS, and can be set / instructed to the terminal through RRC or SIB (for example, to one of {-3, 0, 3, 6} dB). This can be given as an offset value of each measurement result through the transmission power ratio.

[0264] - If the result of RRM measurement based on PSS / SSS does not exceed the threshold (for a certain number of times or for a certain period of time), signal reception using LP-WUR may be stopped, and cell reselection procedure may be initiated by activating MR.

[0265]

[0266] Example 3) A terminal of LP-WUR type #2 can measure LP-SS or / and PSS / SSS depending on the settings.

[0267] - The reference signal received by the terminal of LP-WUR type #2 for measurement can be determined by setting.

[0268] - The terminal receives information related to LP-WUS through SIB, etc., and if it supports LP-WUR type #2 that can receive OFDM signals, it can be set which reference signal is used to perform measurements.

[0269] - If the terminal is set to measure based on LP-SS, the above-described example 1) can be followed. When measuring LP-SS, it can be distinguished whether it is performed on an overlaid sequence or an OOK symbol, and the settings for this can be included and indicated.

[0270] - If the terminal is set to measure based on PSS / SSS, the above-described example 2) can be followed. This can be a form in which the method of receiving the reference signal for measurement is determined separately from the method of receiving LP-WUS, even if the terminal of LP-WUR type #2 can operate by switching between energy detection (or amplitude detection) and sequence detection as needed.

[0271] - Alternatively, if a terminal of LP-WUR type #2 can operate by switching between energy detection (or amplitude detection) and sequence detection as needed, the above-described example 1) may be an example applicable to energy detection (or amplitude detection) operation, and the above-described example 2) may be an example applicable to sequence detection operation.

[0272] - The method by which the terminal receives LP-WUS and the method by which it receives the reference signal can be set independently.

[0273]

[0274] Example 4) A terminal of LP-WUR type #2 can select and measure a signal when both reference signals are set.

[0275] - Terminals of LP-WUR type #2 can select and receive LP-SS or PSS / SSS for measurement.

[0276] - This may depend on whether the terminal operates in energy detection or sequence detection when receiving a signal using LP-WUR. For example, if the terminal receives a signal using energy detection with the goal of reducing power consumption, it may perform measurements using LP-SS and receive LP-WUS excluding information about the overlaid OFDM sequence. This may be a form in which the terminal selects a method for receiving a reference signal for measurement independently of the method in which it receives LP-WUS.

[0277] - Alternatively, the method by which the terminal receives the LP-WUS and the method by which the terminal receives the reference signal may be independently selected by the terminal.

[0278]

[0279] Example 5) The measurement method of a terminal of LP-WUR type #2 can be based on the terminal capability report.

[0280] - The reference signal received by the terminal for measurement can be determined based on the terminal's capability report.

[0281] - Even for a terminal of LP-WUR type #2 capable of receiving OFDM sequences, the default capability may be to perform measurements using LP-SS as a reference signal.

[0282] - If a terminal of LP-WUR type #2 reports an optional capability for the reference signal, measurements can be performed based on PSS / SSS. In the case of CONNECTED mode, the terminal can report capability for the measurement method, and thus measurements can be performed on LP-SS or PSS / SSS based on this. Once the terminal transitions to RRC CONNECTED mode and the capability information of the terminal remains in the network, measurements can be performed on LP-SS or PSS / SSS based on the capability information reported by the terminal.

[0283] - For terminals of LP-WUR type #2, measurement of LP-SS is mandatory, and measurement of PSS / SSS may be secondary.

[0284]

[0285] [Method #5] LP-RSSI (Low Power-Received Signal Strength Indicator) by LP-WUR Type

[0286] Depending on the LP-WUR type, the receivable reference signal and reception quality may differ, and thus the measurement metrics RSRP and RSRQ may be defined differently. The measurement metrics for LP-SS may be defined as LP-RSRP and LP-RSRQ. LP-RSRP may be defined as the linear average of the total received power of the reference signal. LP-RSRQ may be defined as the value obtained by dividing LP-RSRP by LP-RSSI. This may be defined similarly to the measurement metrics SS-RSRP and SS-RSRQ when PSS / SSS are used as reference signals.

[0287] LP-RSSI can be defined differently for each LP-WUR type. RSSI refers to the strength of the received signal, and the standards for measuring the strength of the signal received by a terminal of type #1, which can only receive OOK symbols, and type #2, which can also receive OFDM sequences, may differ. Therefore, the standards for measuring the signal strength when receiving LP-SS can be defined differently for each type. The definition of LP-RSSI can be as follows.

[0288] - LP-RSSI of LP-WUR type #1: linear average of the total received power of the OOK OFF symbols of LP-SS

[0289] - LP-RSSI of LP-WUR type #2 (if supported): linear average of the total received power of all OOK symbols (including ON symbols and OKK symbols) of the LP-SS.

[0290]

[0291] FIG. 15 is a flowchart illustrating an example of performing LP-WUR (Low Power-Wake Up Receiver)-based measurements according to the present disclosure. In particular, in FIG. 15, it is assumed that the UE includes LP-WUR Type 2.

[0292] Referring to FIG. 15, in step 1501, the terminal receives a Low Power-Wake Up Signal (LP-WUS) or a Low Power-Synchronization Signal (LP-SS) and performs measurement thereon. That is, a first LP-WUR-based measurement is performed for the LP-WUS or LP-SS.

[0293] Preferably, the first LP-WUR-based measurement may be performed by performing a measurement on the overlaid OFDM sequence, or by performing a measurement on the payload and the overlaid OFDM sequence, since the payload may be composed of an LP-WUS or an LP-SS.

[0294] Next, in step 1502, the terminal determines that the first LP-WUR-based measurement is difficult if, for example, during the first time interval, the result value of the first LP-WUR-based measurement is lower than or equal to the first threshold value related to the LP-WUS or the LP-SS, based on the result value of the first LP-WUR-based measurement and the first threshold value related to the LP-WUS, and receives a general SS (Synchronization Signal) rather than an LP-SS through the LP-WUR and performs measurement thereon. That is, the terminal performs the second LP-WUR-based measurement for the general SS (Synchronization Signal).

[0295] In other words, in step 1503, the terminal determines that the second LP-WUR-based measurement is difficult based on the result value of the second LP-WUR-based measurement and the second threshold value associated with the SS, for example, if the result value of the second LP-WUR-based measurement is less than or equal to the second threshold value associated with the SS during the second time interval, and activates the MR (Main Radio receiver)-based measurement. That is, the deactivated MR is activated and a measurement operation is performed based on the activated MR.

[0296]

[0297] <LP-WUS 및 LP-WUR를 이용한 셀 재선택 (Cell reselection) 절차 수행>

[0298] As described above, to save power at the terminal, we have described RRM measurement replacement or offloading using LP-WUS / LP-WUR.

[0299] Based on the results of RRM measurements, the terminal measures the quality of its current serving cell and determines whether to maintain the current serving cell or move to a different cell. Below, we propose a method for initiating a cell reselection procedure based on LP-WUR-based RRM measurements performed by the terminal.

[0300] A typical NR standard terminal starts measurements on neighboring cells indicated by the serving cell if the serving cell does not satisfy the cell reselection criterion S during consecutive N_serv DRX cycles. Here, the cell reselection criterion S is when the RRM measurement result (e.g., SS-RSRP, SS-RSRQ) performed by the MR is greater than a threshold.

[0301] When LP-WUS monitoring is activated in the current serving cell, the terminal can perform LP-WUR-based RRM measurements targeting a specific signal instead of RRM measurements in MR targeting SSB. The specific signal in this case may be a signal that can be received by LP-WUR, such as LP-WUS or LP-SS. In addition, if the terminal supports LP-WUR that can receive OFDM sequences, PSS / SSS may also be applicable.

[0302] If the terminal can receive SSB in the current serving cell (hereinafter referred to as Cell 1) but cannot receive a specific signal receivable by LP-WUR, the terminal activates MR and measures cell quality based on SSB in the same manner as the existing operation. The terminal expects the activation of LP-WUS monitoring to save power and periodically attempts reception with LP-WUR. The LP-WUR of the terminal can receive a specific signal receivable by LP-WUR for an adjacent cell (hereinafter referred to as Cell 2) other than the current Cell 1. In this case, if the result of the RRM measurement of MR targeting SSB for Cell 1 is greater than the threshold, the terminal does not reselect a new cell and continues to operate on the current Cell 1 because it does not correspond to the cell reselection triggering defined in the current standard.

[0303] However, it may be advantageous for the terminal to select Cell 2 as the new serving cell, where power savings can be expected by activating LP-WUR and deactivating MR. Therefore, the present disclosure proposes a triggering operation for the cell reselection procedure of the terminal when a specific signal is received by a separate receiver, LP-WUR.

[0304] (1) Below, a terminal operation that enables a neighboring cell that can receive a signal through LP-WUR to be selected as a new serving cell is described.

[0305] We define a terminal behavior that initiates a cell reselection procedure even if the measurement result for a signal received via LP-WUR exceeds a certain threshold. A new cell reselection criterion S_LR can be defined, or the condition can be included in the current cell reselection criterion S. The proposed behavior allows the terminal to initiate the cell reselection procedure for power savings even when the quality of the serving cell measured by MR is sufficiently good.

[0306] The new cell reselection criterion S_LR can be defined as the case where the cell quality measured for a signal transmitted from a cell other than the current serving cell is good when the signal cannot be received with LP-WUR in Cell 1 and can be received with LP-WUR. The terminal can determine that the cell quality is good if the result of the RRM measurement performed with LP-WUR is above a certain threshold. This may be the case where the terminal can receive the signal with LP-WUR without any problem in a cell other than the current serving cell.

[0307] When a terminal initiates a cell reselection procedure, it measures the quality of neighboring cells and selects the best cell as the new serving cell.

[0308] If a cell that transmits a signal satisfying S_LR, i.e., cell 2, has an intra-frequency relationship with cell 1, an offset value may be assigned to cell 2 based on the measurement result satisfying S_LR, so that cell 2 may be selected as the best cell. Alternatively, a certain offset value may be assigned to cells that can receive signals with LP-WUR, so that one of the cells that can operate as LP-WUR may be selected as the best cell. For example, if a signal can be received with LP-WUR in the cell, an offset may be added to the measurement result for determining the best cell to derive the final result, and the best cell may be selected based on this.

[0309] When a cell that transmits a signal satisfying S_LR, i.e., cell 2, is in an inter-frequency relationship with cell 1, a high priority may be given to cell 2 based on the measurement result satisfying S_LR, so that cell 2 may be selected as the best cell. Alternatively, cells that can receive signals with LP-WUR may be set to have high priorities, so that one of the cells that can operate with LP-WUR may be selected as the best cell. For example, among cells that have the same priority for the measurement result performed with MR, a cell that can receive signals with LP-WUR may be set to have a relatively high priority, and the best cell may be selected based on this.

[0310] The proposed cell reselection criterion S_LR can be applied only when the criterion S is satisfied by the measurement performed by MR. That is, the criterion S has priority over the criterion S_LR, and the terminal can check whether the criterion S_LR is satisfied only when the criterion S is satisfied.

[0311] In addition, the cell reselection procedure based on the proposed cell reselection criterion S_LR can be triggered only when the terminal prioritizes power saving. For example, if the terminal has power saving factor = {True}, it is determined whether the criterion S_LR is satisfied, and if the power saving factor = {absent}, it is not determined whether the criterion S_LR is satisfied even if the terminal can receive a signal with LP-WUR.

[0312] (2) Below, an example of the terminal operation described in (1) is described.

[0313] - The terminal periodically measures cell quality for the current cell 1.

[0314] - The terminal monitors LP-WUS for power saving purposes. This may correspond to power saving factor = {True}.

[0315] Assume that a UE monitors signals with LP-WUR and has difficulty receiving specific signals (PSS / SSS or LP-WUS / LP-SS) for Cell 1, but can receive specific signals for another neighboring cell (or Cell 2). In this case, the UE does not need to search for a new serving cell according to the existing standard operation, but if Cell 1 is maintained as the serving cell, the MR must be activated periodically, which may be detrimental in terms of power consumption. Therefore, the UE measures the cell quality for a specific signal in Cell 2 and checks whether it satisfies the reference S_LR.

[0316] - If the terminal satisfies the criterion S_LR, it initiates a cell reselection procedure to find a new serving cell that can perform LP-WUR-based RRM measurements to prioritize power savings.

[0317] - The terminal selects the best cell that can receive the signal as LP-WUR according to the proposed method as the new serving cell.

[0318] - The terminal can expect a power saving effect by performing LP-WUR-based RRM measurements in a new serving cell (Cell 2 or a new cell capable of receiving signals with LP-WUR) and disabling MR.

[0319] (3) Below, a new event related to the cell reselection procedure proposed in the present disclosure is proposed.

[0320] Predefined measurement reporting methods related to terminal handover are defined, and these are called events. These events are defined in the standard document 3GPP TS 38.331, and include events such as Event A1 (Serving becomes better than threshold) and Event A2 (Serving becomes worse than threshold).

[0321] For event A3, "Neighbor becomes offset better than SpCell," meaning that the neighboring cell's signal is better than the serving cell by a preset offset difference. Similarly, we propose new events A_lp, A_lp2, and A_lp3, which contain measurement results for signals received via LP-WUR, as follows.

[0322] The proposed event A_lp can be defined as a case where the signal of an adjacent cell is better than the signal of the current serving cell by the difference in offset for the signal received by the terminal with LP-WUR.

[0323] The proposed event A_lp2 can be defined as a case where the signal for the neighboring cell received by the terminal with LP-WUR is better than a threshold.

[0324] The proposed event A_lp3 can be defined as the case where the signal of the serving cell received by the terminal with LP-WUR is worse than threshold #1, and the signal of the adjacent cell is better than threshold #2.

[0325] The terminal reports the occurrence of events A_lp, A_lp2, and A_lp3 in relation to LP-WUR, and accordingly, the cell reselection procedure may or may not be performed. The terminal can configure which events are actually applicable through higher-layer parameters.

[0326]

[0327] FIG. 16 is a flowchart illustrating an example of performing a cell reselection procedure using LP-WUR (Low Power-Wake Up Receiver)-based measurement according to the present disclosure. In particular, FIG. 16 assumes that the first LP-WUS-based measurement and the second LP-WUS-based measurement of FIG. 15 described above are applied for cell reselection to an adjacent cell, and assumes that a terminal can receive SSB from a serving cell via MR, but has difficulty receiving a signal with LP-WUR. In addition, it is assumed that the LP-WUR of the terminal can receive a signal with LP-WUR from an adjacent cell other than the current serving cell.

[0328] Referring to FIG. 16, in step 1601, the terminal receives a Low Power-Wake Up Signal (LP-WUS) or a Low Power-Synchronization Signal (LP-SS) and performs measurement thereon. That is, a first LP-WUR-based measurement is performed for the LP-WUS or LP-SS.

[0329] Thereafter, in step 1602, if the result of the first LP-WUR-based measurement satisfies the low-power cell reselection criteria, the terminal performs a cell reselection procedure toward the adjacent cell. That is, the adjacent cell is determined to be the best cell and camp-on to the adjacent cell. More specifically, the terminal can expect a power saving effect by activating LP-WUR and deactivating MR.

[0330] Additionally, the terminal determines that the first LP-WUR-based measurement is difficult if, for example, during the first time interval, the result value of the first LP-WUR-based measurement is lower than or equal to the first threshold value related to the LP-WUS or the LP-SS, based on the result value of the first LP-WUR-based measurement and the first threshold value related to the LP-WUS, and, in step 1603, receives a general SS (Synchronization Signal) other than the LP-SS through the LP-WUR and performs measurement thereon. That is, the terminal performs the second LP-WUR-based measurement for the general SS (Synchronization Signal).

[0331] Thereafter, in step 1604, if the result of the second LP-WUR-based measurement satisfies the low-power cell reselection criteria, the terminal performs a cell reselection procedure toward the adjacent cell. That is, the adjacent cell is determined to be the best cell and camp-on to the adjacent cell. More specifically, the terminal can expect a power saving effect by activating LP-WUR and deactivating MR.

[0332]

[0333] According to the present disclosure, a method for measuring RRM (Radio Resource Management) using LP-WUR (Low Power-Wake Up Receiver) and a method for performing a cell reselection procedure based thereon can be efficiently performed.

[0334] In order to explain the principles of the invention, this disclosure provides examples based on the NR system. However, the proposed methods are not specifically limited to the transmission and reception forms of NR unless otherwise specified. In addition, in order to explain the principles of the invention, this disclosure provides examples based on the characteristics and structures of existing terminal operations. However, the proposed methods are not specifically limited to the support of the terminal unless otherwise specified. Therefore, it is self-evident that the methods proposed in this disclosure can be applied to all wireless communication transmission and reception structures and services, even without a separate description, as long as the principles of the invention are not violated.

[0335]

[0336] The embodiments described above are combinations of components and features of the present disclosure in a predetermined form. Each component or feature should be considered optional unless explicitly stated otherwise. Each component or feature may be implemented without being combined with other components or features. Furthermore, it is also possible to form embodiments of the present disclosure by combining some components and / or features. The order of operations described in the embodiments of the present disclosure may be changed. Some components or features of one embodiment may be included in another embodiment or may be replaced with corresponding components or features of another embodiment. It is self-evident that claims that do not have an explicit citation relationship in the patent claims may be combined to form embodiments or incorporated as new claims through post-application amendments.

[0337] It will be apparent to those skilled in the art that the present disclosure may be embodied in other specific forms without departing from the scope of the present disclosure. Therefore, the above detailed description should not be construed as limiting in any respect, but rather as illustrative. The scope of the present disclosure should be determined by a reasonable interpretation of the appended claims, and all modifications within the scope of equivalents of the present disclosure are intended to be included within the scope of the present disclosure.

[0338] The present disclosure may be used in a terminal, base station, or other equipment of a wireless mobile communication system.

Claims

1. In a method performed by UE (User Equipment), A step of performing a first LP-WUR (Low Power-Wake Up Receiver) based measurement for an LP-WUS (Low Power-Wake Up Signal); A step of performing a second LP-WUR-based measurement for a SS (Synchronization Signal) based on the result value of the first LP-WUR-based measurement and the first threshold value related to the LP-WUS; and A step of activating MR (Main Radio receiver) based measurement based on the result value of the second LP-WUR based measurement and the second threshold value related to the SS, method.

2. In paragraph 1, The step of performing the above second LP-WUR based measurement is: A step of performing the second LP-WUR-based measurement based on the result value of the first LP-WUR-based measurement being less than or equal to a first threshold value related to the LP-WUS during the first time interval, The steps of performing the above MR-based measurement are: A step of performing the MR-based measurement based on the result value of the second LP-WUR-based measurement being less than or equal to a second threshold value associated with the SS during the second time interval, method.

3. In paragraph 1, The step of performing the above first LP-WUR based measurement is: Comprising a step of performing a measurement on at least one of the payloads and sequences constituting the above LP-SS, method.

4. In paragraph 3, The step of performing the above first LP-WUR based measurement is: a step of performing a measurement for the above sequence; and Comprising a step of performing measurements on the payload and the sequence, method.

5. In paragraph 1, The step of performing the above first LP-WUR based measurement is: performing the first LP-WUR-based measurement for the LP-WUS received from an adjacent cell; and A step of performing a cell reselection procedure to the adjacent cell based on whether the result value of the first LP-WUR-based measurement satisfies the low-power cell reselection criterion, method.

6. In paragraph 5, The step of performing the above second LP-WUR based measurement is: performing the second LP-WUR based measurement for the SS received from the adjacent cell; and A step of performing a cell reselection procedure to the adjacent cell based on whether the result value of the second LP-WUR-based measurement satisfies the low-power cell reselection criterion, method.

7. As a UE (User Equipment) in a wireless communication system, at least one processor; and At least one computer memory storing instructions that, when executed by said at least one processor, cause said reader to perform operations, said operations comprising: A step of performing a first LP-WUR (Low Power-Wake Up Receiver) based measurement for an LP-WUS (Low Power-Wake Up Signal); A step of performing a second LP-WUR-based measurement for a SS (Synchronization Signal) based on the result value of the first LP-WUR-based measurement and the first threshold value related to the LP-WUS; and A step of activating MR (Main Radio receiver) based measurement based on the result value of the second LP-WUR based measurement and the second threshold value related to the SS, UE.

8. In paragraph 7, The step of performing the above second LP-WUR based measurement is: A step of performing the second LP-WUR-based measurement based on the result value of the first LP-WUR-based measurement being less than or equal to a first threshold value related to the LP-WUS during the first time interval, The steps of performing the above MR-based measurement are: A step of performing the MR-based measurement based on the result value of the second LP-WUR-based measurement being less than or equal to a second threshold value associated with the SS during the second time interval, UE.

9. In paragraph 7, The step of performing the above first LP-WUR based measurement is: Comprising a step of performing a measurement on at least one of the payloads and sequences constituting the above LP-SS, UE.

10. In paragraph 9, The step of performing the above first LP-WUR based measurement is: a step of performing a measurement for the above sequence; and Comprising a step of performing measurements on the payload and the sequence, UE.

11. In paragraph 7, The step of performing the above first LP-WUR based measurement is: performing the first LP-WUR-based measurement for the LP-WUS received from an adjacent cell; and A step of performing a cell reselection procedure to the adjacent cell based on whether the result value of the first LP-WUR-based measurement satisfies the low-power cell reselection criterion, UE.

12. In paragraph 11, The step of performing the above second LP-WUR based measurement is: performing the second LP-WUR based measurement for the SS received from the adjacent cell; and A step of performing a cell reselection procedure to the adjacent cell based on whether the result value of the second LP-WUR-based measurement satisfies the low-power cell reselection criterion, UE.

13. In a processing device in a wireless communication system, at least one processor; and At least one computer memory storing instructions that, when executed by at least one processor, cause a UE (User Equipment) to perform operations, the operations being: A step of performing a first LP-WUR (Low Power-Wake Up Receiver) based measurement for an LP-WUS (Low Power-Wake Up Signal); A step of performing a second LP-WUR-based measurement for a SS (Synchronization Signal) based on the result value of the first LP-WUR-based measurement and the first threshold value related to the LP-WUS; and A step of activating MR (Main Radio receiver) based measurement based on the result value of the second LP-WUR based measurement and the second threshold value related to the SS, Processing unit.

14. In a non-transitory computer-readable storage medium, The storage medium stores at least one program code that, when executed by at least one processor, causes a UE (User Equipment) to perform operations, the operations comprising: A step of performing a first LP-WUR (Low Power-Wake Up Receiver) based measurement for an LP-WUS (Low Power-Wake Up Signal); A step of performing a second LP-WUR-based measurement for a SS (Synchronization Signal) based on the result value of the first LP-WUR-based measurement and the first threshold value related to the LP-WUS; and A step of activating MR (Main Radio receiver) based measurement based on the result value of the second LP-WUR based measurement and the second threshold value related to the SS, Storage medium.

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