Method and device for performing communication in wireless communication system

The method and apparatus for wireless communication systems address the integration of sensing and communication by exchanging sensor information and utilizing advanced technologies, enhancing connectivity and reliability for 6G systems, particularly in applications like autonomous driving and intelligent connectivity.

WO2026084518A1PCT designated stage Publication Date: 2026-04-23LG ELECTRONICS INC
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
LG ELECTRONICS INC
Filing Date
2025-10-17
Publication Date
2026-04-23

AI Technical Summary

Technical Problem

Existing wireless communication systems face challenges in efficiently integrating sensing and communication functionalities, particularly in achieving high data rates, low latency, and reliable connectivity, especially in the context of emerging 6G systems with diverse requirements such as ultra-reliable connectivity and machine learning capabilities.

Method used

A method and apparatus for wireless communication systems that enable devices to exchange information about sensor types and sensing data formats, allowing for the acquisition and transmission of sensing data between devices, utilizing advanced technologies like AI, THz communication, and integrated sensing and communication (ISAC) to enhance connectivity and sensing capabilities.

Benefits of technology

The solution facilitates efficient integration of sensing and communication, supporting high data rates, low latency, and ultra-reliable connectivity, enabling applications such as autonomous driving and intelligent connectivity through advanced technologies like AI and ISAC.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provided are a method for performing wireless communication and a device supporting same. The method may comprise the steps in which: a first device receives, from a second device, information related to a sensor type and information related to a sensing data format; the first device acquires sensing data on the basis of the information related to the sensor type and the information related to the sensing data format; and the first device transmits the sensing data to the second device.
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Description

Method and apparatus for performing communication in a wireless communication system

[0001] The present disclosure relates to a wireless communication system.

[0002] 5G NR is a successor technology to LTE (long term evolution) and is a new clean-slate type mobile communication system with characteristics such as high performance, low latency, and high availability. 5G NR can utilize all available spectrum resources, ranging from low frequency bands below 1 GHz to mid-frequency bands from 1 GHz to 10 GHz, and high frequency (millimeter wave) bands above 24 GHz.

[0003] The 6G (wireless communication) system aims for (i) very high data rates per device, (ii) a very large number of connected devices, (iii) global connectivity, (iv) very low latency, (v) reduced energy consumption of battery-free IoT (internet of things) devices, (vi) ultra-reliable connectivity, and (vii) connected intelligence with machine learning capabilities. The vision of the 6G system can be in four aspects: intelligent connectivity, deep connectivity, holographic connectivity, and ubiquitous connectivity, and the 6G system can satisfy requirements such as those shown in Table 1 below. For example, Table 1 may represent an example of the requirements for a 6G system.

[0004] Maximum data rate per device 1 Tbps E2E latency 1 ms Maximum spectral efficiency 100 bps / Hz Mobility support up to 1000 km / hr Satellite integration Fully AI Fully autonomous driving Fully XR Fully haptic communication Fully

[0005] According to one embodiment of the present disclosure, a method may be provided. For example, the method may include: a step in which a first device receives information related to a sensor type and information related to a sensing data format from a second device; a step in which the first device acquires sensing data based on the information related to the sensor type and the information related to the sensing data format; and a step in which the first device transmits the sensing data to the second device.

[0006] According to one embodiment of the present disclosure, a first device may be provided. For example, the first device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the first device, based on execution by the at least one processor: to receive from a second device information related to a sensor type and information related to a sensing data format; to acquire sensing data based on the information related to the sensor type and the information related to the sensing data format; and to transmit the sensing data to the second device.

[0007] According to one embodiment of the present disclosure, a processing device (configured to control a first device) may be provided. For example, the processing device may include at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the first device, based on execution by the at least one processor, to: receive from a second device information related to a sensor type and information related to a sensing data format; acquire sensing data based on the information related to the sensor type and the information related to the sensing data format; and transmit the sensing data to the second device.

[0008] According to one embodiment of the present disclosure, a non-transient computer-readable storage medium recording instructions may be provided. For example, when the instructions are executed, the first device may: receive from a second device information related to a sensor type and information related to a sensing data format; acquire sensing data based on the information related to the sensor type and the information related to the sensing data format; and transmit the sensing data to the second device.

[0009] According to one embodiment of the present disclosure, a method may be provided. For example, the method may include the step of a second device transmitting to a first device information related to a sensor type and information related to a sensing data format; and the step of the second device receiving from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0010] According to one embodiment of the present disclosure, a second device may be provided. For example, the second device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the second device to: transmit to the first device information related to a sensor type and information related to a sensing data format; and receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0011] According to one embodiment of the present disclosure, a processing device (configured to control a second device) may be provided. For example, the processing device may include at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the second device, based on execution by the at least one processor: to transmit to the first device information related to a sensor type and information related to a sensing data format; and to receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0012] According to one embodiment of the present disclosure, a non-transient computer-readable storage medium recording instructions may be provided. For example, when the instructions are executed, the second device may: transmit to the first device information related to a sensor type and information related to a sensing data format; and receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0013] FIG. 1 illustrates a communication procedure between devices according to one embodiment of the present disclosure.

[0014] FIG. 2 shows a radio protocol architecture according to one embodiment of the present disclosure.

[0015] FIG. 3 shows the structure of a wireless frame according to one embodiment of the present disclosure.

[0016] FIG. 4 shows a slot structure of a frame according to one embodiment of the present disclosure.

[0017] FIG. 5 shows an example of a BWP according to one embodiment of the present disclosure.

[0018] FIG. 6 shows a communication structure that can be provided in a 6G system according to one embodiment of the present disclosure.

[0019] FIG. 7 illustrates an example of a communication scenario based on a 6G system according to an embodiment of the present disclosure.

[0020] FIG. 8 shows an example of a sensing operation according to one embodiment of the present disclosure.

[0021] FIG. 9 shows the relationship between RCS, distance (D), and power according to one embodiment of the present disclosure.

[0022] FIG. 10 shows an example of a protocol layer used to support the transmission of an LPP (LTE positioning protocol) message between a LMF (location management function) and a UE according to one embodiment of the present disclosure.

[0023] FIG. 11 shows an example of an ISAC service according to one embodiment of the present disclosure.

[0024] FIG. 12 illustrates various integrated sensing and communication (ISAC) systems according to one embodiment of the present disclosure.

[0025] FIG. 13 illustrates a sensing procedure based on a sensor type and a sensing data format according to one embodiment of the present disclosure.

[0026] FIG. 14 illustrates a method in which a first device performs wireless communication according to one embodiment of the present disclosure.

[0027] FIG. 15 illustrates a method in which a second device performs wireless communication according to one embodiment of the present disclosure.

[0028] FIG. 16 shows a communication system (1) according to one embodiment of the present disclosure.

[0029] FIG. 17 shows a wireless device according to one embodiment of the present disclosure.

[0030] FIG. 18 shows a signal processing circuit for a transmission signal according to one embodiment of the present disclosure.

[0031] FIG. 19 shows a wireless device according to one embodiment of the present disclosure.

[0032] FIG. 20 shows a portable device according to one embodiment of the present disclosure.

[0033] In the present disclosure, "A or B" may mean "only A," "only B," or "both A and B." Alternatively, in the present disclosure, "A or B" may be interpreted as "A and / or B." For example, in the present disclosure, "A, B or C" may mean "only A," "only B," "only C," or "any combination of A, B and C."

[0034] A slash ( / ) or a comma used in the present disclosure may mean "and / or." For example, "A / B" may mean "A and / or B." Accordingly, "A / B" may mean "only A," "only B," or "both A and B." For example, "A, B, C" may mean "A, B or C."

[0035] In the present disclosure, "at least one of A and B" may mean "only A," "only B," or "both A and B." Additionally, in the present disclosure, the expressions "at least one of A or B" or "at least one of A and / or B" may be interpreted as synonymous with "at least one of A and B."

[0036] Additionally, in the present disclosure, "at least one of A, B and C" may 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" may mean "at least one of A, B and C."

[0037] Additionally, parentheses used in the present disclosure may mean "for example." Specifically, when indicated as "control information (PDCCH)," "PDCCH" may be proposed as an example of "control information." In other words, the "control information" of the present disclosure is not limited to "PDCCH," and "PDCCH" may be proposed as an example of "control information." Furthermore, even when indicated as "control information (e.g., PDCCH)," "PDCCH" may be proposed as an example of "control information."

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

[0039] Technical features described individually within one drawing in this disclosure may be implemented individually or simultaneously.

[0040] In the present disclosure, a higher layer parameter may be a parameter that is set for the terminal, pre-set, or pre-defined. For example, a base station or a network may transmit the higher layer parameter to the terminal. For example, the higher layer parameter may be transmitted via radio resource control (RRC) signaling or medium access control (MAC) signaling.

[0041] In the present disclosure, "configured or defined" may be interpreted as being configured or pre-configured to a device through pre-defined signaling from a base station or network (e.g., SIB, MAC, RRC, DCI (downlink control information), etc.). In the present disclosure, "configured or defined" may be interpreted as being configured or pre-configured to a device through pre-defined signaling from another device (e.g., MAC, RRC, SCI (sidelink control information), control information signaled between devices, etc.). In the present disclosure, "configured or defined" may be interpreted as being pre-configured to a device.

[0042] In the present disclosure, user equipment (UE) may refer to a device, a portable device, a wireless device, etc. In the present disclosure, a base station (BS) may refer to a radio access network (RAN) node, a non-terrestrial network (NTN) cell / node, a transmission reception point (TRP), a network, an integrated access and backhaul (IAB) node, a device, a portable device, a wireless device, etc.

[0043] The technology proposed in this disclosure 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.

[0044] The technology proposed in this disclosure can be implemented as 6G wireless technology and can be applied to various 6G systems. For example, 6G systems may have key factors such as eMBB (enhanced mobile broadband), URLLC (ultra-reliable low latency communications), mMTC (massive machine-type communication), AI (artificial intelligence) integrated communication, tactile internet, high throughput, high network capacity, high energy efficiency, low backhaul and access network congestion, and enhanced data security.

[0045] FIG. 1 illustrates a communication procedure between devices according to one embodiment of the present disclosure. The embodiment of FIG. 1 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0046] Referring to FIG. 1, in step S101, the first device and the second device can perform synchronization. For example, the first device may be a terminal and / or at least one of the devices proposed in the present disclosure. For example, the second device may be a base station, a network, a RAN node, an NTN node / cell, a TRP, a terminal and / or at least one of the devices proposed in the present disclosure. For example, the first device may perform an initial cell search operation. For example, the first device may detect at least one synchronization signal transmitted according to a rule predefined by the second device. Here, for example, the synchronization signal may include a plurality of synchronization signals (e.g., primary synchronization signal, secondary synchronization signal, etc.) classified according to structure or use. Through this, the first device can identify the boundaries of the frame, subframe, time unit, slot, and / or symbol of the second device, and the first device can obtain information about the second device (e.g., cell identifier).

[0047] In step S103, the first device may obtain system information transmitted by the second device. For example, the system information may include information related to the attributes, characteristics, and / or capabilities of the second device that are necessary to connect to the second device and use the service. For example, the system information may be classified according to content (e.g., whether it is essential for connection), transmission structure (e.g., the channel used, whether it is provided on-demand), etc. For example, the system information may be classified into a master information block (MIB) and a system information block (SIB). For example, if necessary, the first device may transmit a signal requesting the system information prior to receiving the system information. For example, the request and provision of the system information may be performed after a random access procedure described later.

[0048] In step S105, the first device and the second device may perform a random access procedure. For example, the first device may transmit and / or receive at least one message for the random access procedure (e.g., random access preamble, random access response message, etc.) based on information related to the random access channel of the second device obtained through system information (e.g., channel location, channel structure, structure of supported preamble, etc.). For example, the first device may transmit a preamble (e.g., Msg1) through the random access channel, and the first device may receive a random access response message (e.g., Msg2). The first device may transmit a message (e.g., Msg3) containing information related to the first device (e.g., identification information) to the second device using scheduling information included in the random access response message, and the first device may receive a message (e.g., Msg4) for contention resolution and / or connection establishment. For example, Msg1 and Msg3 can be transmitted and received as a single message (e.g., MsgA), and / or Msg2 and Msg4 can be transmitted and received as a single message (e.g., MsgB).

[0049] In step S107, the first device and the second device may perform signaling of control information. Here, for example, the control information may be defined in various layers, such as a layer controlling the connection (e.g., a radio resource control (RRC) layer), a layer handling mapping between a logical channel and a transmission channel (e.g., a media access control (MAC) layer), and a layer handling a physical channel (e.g., a physical (PHY) layer). For example, the first device and the second device may perform at least one of signaling to establish a connection, signaling to determine settings related to communication, and / or signaling to indicate allocated resources. For example, the control information may be signaled / transmitted through a control channel. For example, the control information and / or the control channel may be used to schedule at least one of data, a data channel (e.g., a shared channel), and / or control information on the data channel.

[0050] In step S109, the first device and the second device may transmit and / or receive data. For example, the first device and the second device may process data based on signaling of control information and transmit and / or receive it. For example, when transmitting data, the first device or the second device may perform at least one of channel encoding, rate matching, scrambling, constellation mapping, layer mapping, waveform modulation, antenna mapping, and / or resource mapping on the information bits. For example, when receiving data, the first device or the second device may perform at least one of signal extraction from resources, antenna-specific waveform demodulation, signal placement considering layer mapping, constellation demapping, descrambling, and / or channel decoding.

[0051] For example, the layers of the radio interface protocol between the first device and the second device can be classified into L1 (layer 1), L2 (layer 2), L3 (layer 3), etc. For example, the physical layer belonging to layer 1 can provide an information transfer service using a physical channel, and the radio resource control (RRC) layer located at layer 3 can perform the role of controlling radio resources between the first device and the second device. To this end, for example, the RRC layer can exchange RRC messages between the first device and the second device.

[0052] FIG. 2 illustrates a radio protocol architecture according to one embodiment of the present disclosure. The embodiment of FIG. 2 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of said embodiment may be omitted. For example, FIG. 2(a) may represent a radio protocol stack in the user plane for uplink communication or downlink communication, and FIG. 2(b) may represent a radio protocol stack in the control plane for uplink communication or downlink communication. For example, FIG. 2(c) may represent a radio protocol stack in the user plane for device-to-device communication, and FIG. 2(d) may represent a radio protocol stack in the control plane for device-to-device communication.

[0053] For example, the physical layer can provide information transmission services to upper layers using a physical channel. For example, the physical layer can be connected to the upper layer, the MAC (medium access control) layer, through a transport channel. For example, data can be transmitted between the MAC layer and the physical layer through a transport channel. For example, transport channels can be classified according to how and with what characteristics data is transmitted through a wireless interface. For example, data can be transmitted through a physical channel between different physical layers, for example, between the physical layers of a first device and a second device. For example, the physical channel can be modulated using the OFDM (orthogonal frequency division multiplexing) method, and time and frequency can be utilized as wireless resources.

[0054] For example, the MAC layer can provide services to the upper layer, the RLC (radio link control) layer, through logical channels. For example, the MAC layer can provide mapping functions from multiple logical channels to multiple transmission channels. For example, the MAC layer can provide logical channel multiplexing functions through mapping from multiple logical channels to a single transmission channel. For example, the MAC sublayer can provide data transmission services over logical channels.

[0055] For example, the RLC layer can perform concatenation, segmentation, and reassembly of RLC service data units (SDUs). For example, to guarantee various quality of service (QoS) required by a radio bearer (RB), the RLC layer can provide three modes of operation: transparent mode (TM), unacknowledged mode (UM), and acknowledged mode (AM). For example, AM RLC can provide error correction through automatic repeat requests (ARQ).

[0056] For example, the RRC (radio resource control) layer may be defined only in the control plane. For example, the RRC layer may be responsible for controlling logical channels, transmission channels, and physical channels in relation to the configuration, reconfiguration, and release of radio bearers. For example, RB may refer to a logical path provided by the first layer (e.g., physical layer) and the second layer (e.g., MAC layer, RLC layer, PDCP (packet data convergence protocol) layer, SDAP (service data adaptation protocol) layer, etc.) for data transfer between a first device and a second device.

[0057] For example, the functions of the PDCP layer in the user plane may include the delivery of user data, header compression, and ciphering. For example, the functions of the PDCP layer in the control plane may include the delivery of control plane data and encryption / integrity protection.

[0058] For example, the establishment of an RB can mean the process of defining the characteristics of the wireless protocol layer and channel to provide specific services, and setting each specific parameter and method of operation. For example, an RB can be divided into two types: an SRB (signaling radio bearer) and a DRB (data radio bearer). For example, an SRB can be used as a channel to transmit RRC messages in the control plane, and a DRB can be used as a channel to transmit user data in the user plane.

[0059] For example, if an RRC connection is established between the RRC layer of the terminal and the RRC layer of the base station, the terminal is in the RRC_CONNECTED state, and if not, it may be in the RRC_IDLE state. For example, in the case of NR, an additional RRC_INACTIVE state is defined, and a terminal in the RRC_INACTIVE state maintains a connection with the core network while releasing the connection with the base station.

[0060] For example, a downlink transmission channel may include at least one of a broadcast channel (BCH) that transmits system information and / or a shared channel (SCH) that transmits user traffic or control messages. For example, traffic or control messages for a downlink multicast or broadcast service may be transmitted via a downlink SCH or via a separate multicast channel (MCH). Meanwhile, an uplink transmission channel may include at least one of a random access channel (RACH) that transmits initial control messages and / or a shared channel (SCH) that transmits user traffic or control messages. For example, a logical channel located above the transmission channel and mapped to the transmission channel may include at least one of a broadcast control channel (BCCH), a paging control channel (PCCH), a common control channel (CCCH), a multicast control channel (MCCH), and / or a multicast traffic channel (MTCH).

[0061] FIG. 3 shows the structure of a wireless frame according to one embodiment of the present disclosure. The embodiment of FIG. 3 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0062] Referring to FIG. 3, radio frames may be used, for example, in uplink transmission, downlink transmission, and / or device-to-device transmission. For example, a radio frame may have a length of 10 ms and may be defined as two 5 ms half-frames (HF). For example, a half-frame may contain five 1 ms subframes (SF). For example, a subframe may be divided into one or more slots, and the number of slots within a subframe may be determined by subcarrier spacing (SCS). For example, each slot may contain 12 or 14 OFDM(A) symbols according to a cyclic prefix (CP).

[0063] For example, when normal CP is used, each slot may contain 14 symbols. For example, when extended CP is used, each slot may contain 12 symbols. Here, for example, the symbols may include OFDM symbols (or CP-OFDM symbols) and SC-FDMA (single carrier-FDMA) symbols (or DFT-s-OFDM (Discrete Fourier Transform-spread-OFDM) symbols).

[0064] Table 2 below shows the number of symbols per slot (N) according to the SCS setting (u) when Normal CP or Extended CP is used. slot symb ), number of slots per frame (N frame,u slot ) and the number of slots per subframe (N subframe,u slot ) exemplifies.

[0065] CP Type SCS (15*2 u )N slot symb N frame,u slot N subframe,u slotNormal CP 15kHz (u=0) 1410 130kHz (u=1) 1420 260kHz (u=2) 1440 4120kHz (u=3) 1480 8240kHz (u=4) 14160 16 Extended CP 60kHz (u=2) 1240 4

[0066] For example, OFDM(A) numerology (e.g., SCS, CP length, etc.) may be configured differently among multiple cells merged into a single terminal. Accordingly, the (absolute time) interval of a time resource (e.g., subframe, slot, or TTI (transmit time interval)) composed of the same number of symbols may be configured differently among the merged cells. For example, in the present disclosure, time resources such as subframes, slots, TTI, etc. may be referred to as time units.

[0067] For example, multiple numerologies or SCSs may be supported to support various services. For example, if the SCS is 15 kHz, a wide area in traditional cellular bands may be supported, and if the SCS is 30 kHz / 60 kHz, dense-urban, lower latency, and wider carrier bandwidth may be supported. For example, if the SCS is 60 kHz or higher, a bandwidth greater than 24.25 GHz may be supported to overcome phase noise.

[0068] FIG. 4 shows a slot structure of a frame according to one embodiment of the present disclosure. The embodiment of FIG. 4 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0069] Referring to FIG. 4, for example, a slot may include multiple symbols in the time domain. For example, a carrier may include multiple subcarriers in the frequency domain. For example, a resource block (RB) may be defined as multiple consecutive subcarriers in the frequency domain. For example, a bandwidth part (BWP) may be defined as multiple consecutive (P)RBs ((physical) resource blocks) in the frequency domain and may correspond to a single numerology (e.g., SCS, CP length, etc.). For example, a carrier may include up to N BWPs (where N is a positive integer). For example, data communication may be performed through an active BWP. For example, each element may be referred to as a resource element (RE) in a resource grid and may be mapped to a single complex symbol.

[0070] For example, a BWP can be a continuous set of PRBs in a given numerology. For example, a PRB can be selected from a continuous subset of common resource blocks (CRBs) for a given numerology on a given carrier.

[0071] For example, the BWP may be at least one of an active BWP, an initial BWP, and / or a default BWP. For example, the terminal may not monitor downlink radio link quality on DL BWPs other than the active DL BWP on the PCell (primary cell). For example, the terminal may not receive PDCCH (physical downlink control channel), PDSCH (physical downlink shared channel), or CSI-RS (channel state information-reference signal) (except for RRM (radio resource management)) outside of the active DL BWP. For example, the terminal may not trigger CSI (channel state information) reporting for an inactive DL BWP. For example, the terminal may not transmit PUCCH (physical uplink control channel) or PUSCH (physical uplink shared channel) outside of the active UL (uplink) BWP. For example, for the downlink, the initial BWP can be given as a consecutive set of resource blocks (RBs) for the remaining minimum system information (RMSI) CORESET (control resource set) (set by the physical broadcast channel (PBCH)). For example, for the uplink, the initial BWP can be given by the system information block (SIB) for the random access procedure. For example, the default BWP can be set by the upper layer. For example, the initial value of the default BWP can be the initial DL BWP.For energy saving, if the terminal fails to detect DCI (downlink control information) for a certain period, the terminal can switch the active BWP of the terminal to the default BWP.

[0072] FIG. 5 illustrates an example of a BWP according to an embodiment of the present disclosure. The embodiment of FIG. 5 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted. In the embodiment of FIG. 5, it is assumed that there are three BWPs.

[0073] Referring to FIG. 5, for example, a common resource block (CRB) may be a numbered carrier resource block from one end of the carrier band to the other, and a PRB may be a numbered resource block within each BWP. For example, point A may indicate a common reference point for the resource block grid.

[0074] For example, BWP is point A, offset from point A (N start BWP ) and bandwidth (N size BWP It can be set by ). For example, point A may be an external reference point of the PRB of a carrier where the subcarrier 0 of all numerologies (e.g., all numerologies supported by the network in that carrier) are aligned. For example, offset may be the PRB interval between the lowest subcarrier in a given numerology and point A. For example, bandwidth may be the number of PRBs in a given numerology.

[0075] FIG. 6 illustrates a communication structure that can be provided in a 6G system according to one embodiment of the present disclosure. The embodiment of FIG. 6 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of said embodiments may be omitted.

[0076] As core implementation technologies for 6G systems, technologies such as artificial intelligence (AI), THz (Terahertz) communication, optical wireless technology, free space optical transmission (FSO) backhaul networks, large-scale MIMO (multiple input multiple output) 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.

[0077] - Artificial Intelligence: Introducing AI into communications can streamline and enhance real-time data transmission. AI can determine how complex target tasks are performed using numerous analyses. For example, AI can increase efficiency and reduce processing latency. Time-consuming tasks such as handover, network selection, and resource scheduling can be performed instantly using AI. AI can also play a significant role in M2M, machine-to-human, and human-to-machine communication. Furthermore, AI can enable rapid communication in Brain-Computer Interfaces (BCI). 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.

[0078] - THz Communication: Data transmission rates can be increased by expanding bandwidth. This can be achieved by using sub-THz communication with wide bandwidth and applying advanced large-scale MIMO technology. THz waves, also known as sub-millimeter radiation, generally refer to a frequency band between 0.1 THz and 10 THz with corresponding wavelengths ranging from 0.03 mm to 3 mm. The 100 GHz-300 GHz band range (Sub-THz band) is considered the primary portion of the THz band for cellular communication. Adding the Sub-THz band to the mmWave band increases 6G cellular communication capacity. Among the defined THz bands, the 300 GHz-3 THz band is located in the far-infrared (IR) frequency band. Although the 300 GHz-3 THz band is part of the optical band, it lies at the boundary of the optical band and immediately following the RF band. Therefore, this 300 GHz-3 THz band exhibits similarities to RF. Key characteristics of THz communication include (i) widely available bandwidth to support very high data transmission rates, and (ii) high path loss occurring at high frequencies (highly directional antennas are indispensable). The narrow beam width generated by highly directional antennas reduces interference. The small wavelength of THz signals allows a much larger number of antenna elements to be integrated into devices and BSs operating in this band. This enables the use of advanced adaptive array technologies that can overcome range limitations.

[0079] - Large-scale MIMO technology

[0080] - Hologram beamforming (HBF)

[0081] - Optical wireless technology

[0082] - Free Space Optical Transmission Backhaul Network (FSO backhaul network)

[0083] - Quantum communication

[0084] - Cell-free communication

[0085] - Integration of wireless information and power transmission

[0086] - Integration of wireless communication and sensing

[0087] - Integrated access and backhaul network

[0088] - Big data analysis

[0089] - Reconfigurable intelligent metasurface

[0090] - Metaverse

[0091] - blockchain

[0092] - Advanced Air Mobility (AAM): AAM can be a broad concept encompassing Urban Air Mobility (UAM), Regional Air Mobility (RAM), and Uncrewed Aerial Systems (UAS). For example, AAM may include UAM, RAM, UAS, and UAVs (uncrewed aerial vehicles).

[0093] - Autonomous driving (self-driving): V2X (vehicle to everything), a core element of building autonomous driving infrastructure, refers to technologies that enable vehicles to communicate and share with various elements on the road to perform autonomous driving, such as wireless communication between vehicles (vehicle to vehicle, V2V) and between vehicles and infrastructure (vehicle to infrastructure, V2I).

[0094] - Non-terrestrial Network (NTN): An NTN may refer to a network or network segment that utilizes RF (radio frequency) resources mounted on a satellite (or UAS platform). The use of NTN services may be considered to secure wider coverage or to provide wireless communication services in locations where the installation of wireless communication base stations is difficult.

[0095] - Integrated Sensing and Communication (ISAC): 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.

[0096] - Reconfigurable Intelligent Surface (RIS): An RIS can be used to manipulate and enhance signal propagation in a wireless communication environment. For example, an RIS can be composed of many small antennas or metasurfaces arranged on a surface, each of which can actively control the phase, amplitude, polarization, etc., of the reflected signal. For instance, an RIS can improve signal reception by controlling the path, phase, and / or strength of the propagating signal. For instance, power consumption can be very low because power is consumed only for controlling the phase and amplitude of the small antennas. For instance, since an RIS can be reconfigured to suit various environments, it can meet diverse communication requirements and operate effectively in dynamic network environments.

[0097] FIG. 7 illustrates an example of a communication scenario based on a 6G system according to an embodiment of the present disclosure. The embodiment of FIG. 7 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0098] Referring to FIG. 7, NTN communication can be performed based on a satellite network, HIBS (high-altitude platform stations (HAPS) as international mobile telecommunications (IMT) base stations (BS)), and an aeronautical communication-capable terminal (e.g., AAM). For example, to improve coverage, devices such as a satellite network, HIBS, and an aeronautical communication-capable terminal (e.g., AAM) can act as relays. For example, an AAM can communicate with a base station, a satellite network, etc., and / or an AAM can communicate directly with a terminal, another AAM, etc.

[0099] For example, a terminal can obtain information about the characteristics of the environment and / or objects within the environment by using radio frequency sensing to determine the instantaneous linear velocity, angle, distance (range), etc. of an object. Since radio frequency sensing capabilities do not require connecting to an object via a device within the network, they can provide services for object location determination without a device. The ability to obtain range, velocity, and angle information from radio frequency signals can provide a wide range of new functions, such as various object detection, object recognition (e.g., vehicles, humans, animals, UAVs), and high-precision localization, tracking, and activity recognition. Radio sensing services can provide information to various industries (e.g., unmanned aerial vehicles, smart homes, V2X, factories, railways, public safety, etc.) that enable applications such as intruder detection, assisted vehicle steering and navigation, trajectory tracking, collision avoidance, traffic management, and health and traffic management. In some cases, radio sensing may use non-3GPP type sensors (e.g., radar, cameras) to further support 3GPP-based sensing. For example, the operation of a wireless sensing service, e.g., sensing operation, may depend on the transmission, reflection, and scattering processing of wireless sensing signals. Therefore, wireless sensing can provide an opportunity to enhance existing communication systems from communication networks into wireless communication and sensing networks.

[0100] FIG. 8 illustrates an example of a sensing operation according to an embodiment of the present disclosure. The embodiment of FIG. 8 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted. Specifically, FIG. 8 (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. 8 (b) illustrates an example of sensing using a separated sensing receiver and a sensing transmitter (e.g., bistatic sensing).

[0101] Referring to FIG. 8, a sensing transmitter may transmit a sensing signal for sensing one or more objects (and / or the environment surrounding the objects). For example, the sensing signal may be a radio (frequency) signal defined to be transmittable by a base station / terminal. For example, a sensing receiver may receive a signal that is scattered or reflected by one or more objects (and / or the environment surrounding the objects) from the sensing signal transmitted by the sensing transmitter. For example, at the sensing receiver, sensing data may be derived from the scattered or reflected signal, and a sensing result may be generated or obtained through processing of the sensing data. Here, for example, the sensing result may include characteristic information (e.g., location, distance, speed, angle, etc.) about one or more objects (and / or the environment surrounding the objects). For example, the sensing results generated / acquired in this way may be utilized for wireless sensing services (e.g., detection, tracking of objects and / or environments, etc.) or provided / disclosed to a trusted third party.

[0102] For example, a sensing transmitter may be a base station or terminal that transmits a sensing signal to be used for the operation of a sensing service, and the sensing transmitter may be located at the same base station or terminal as the sensing receiver or at a different base station or terminal. For example, a sensing receiver may be a base station or terminal that receives a sensing signal to be used for the operation of a sensing service, and the sensing receiver may be located at the same base station or terminal as the sensing transmitter or at a different base station or terminal. For example, a sensing target may be an object to be detected by deriving the characteristics of an object within the environment from the sensing signal. For example, a background environment may be a background that is not a sensing target (e.g., clutter, environmental objects, etc.). For example, an environment object may be an object whose location is known other than that of a sensing target. For example, monostatic sensing may be a sensing in which the sensing transmitter and the sensing receiver coexist at the same base station or terminal. For example, bistatic sensing may be sensing where the sensing transmitter and the sensing receiver are located at different base stations or terminals. For example, multistatic sensing may be sensing where there are multiple sensing transmitters and / or multiple sensing receivers for a (single) sensing target. For example, monostatic sensing, bistatic sensing, and / or multistatic sensing may be distinguished based on the angle between the sensing transmitter, the sensing target, and the sensing receiver. For example, if the angle between the sensing transmitter, the sensing target, and the sensing receiver is below or equal to a threshold, it may be defined as monostatic sensing or semi-monostatic sensing. For example, if the angle between the sensing transmitter, the sensing target, and the sensing receiver is above or equal to a threshold, it may be defined as bistatic sensing or multistatic sensing.For example, the terminal can transmit a sensing signal over a wireless interface that can be used for sensing purposes. For example, the terminal can transmit a sensing signal over a 3GPP wireless interface that can be used for sensing purposes.

[0103] For example, the common framework of the ISAC channel model can be composed of components of the target channel and components of the background channel. For example, this can be obtained based on Equation 1.

[0104]

[0105] Here, for example, target channel H target It may include all [multipath] components affected by the sensing target. For example, background channel H Background It may include other [multipath] components that do not belong to the target channel.

[0106] For example, radar cross-section (RCS) may be a measure of how well a radar sensor can detect a target. Therefore, it can often be referred to as an electromagnetic characteristic of the target. For example, a larger RCS may indicate that the target can be detected more easily. For example, in radar sensor measurements, power may be transmitted toward the target, and the target may reflect some of the power back to the receiver. For example, received power may be based on the target's RCS, among other factors. For example, received power may be proportional to the RCS. For example, the target's RCS may be based on at least one of the frequency of the radar signal, the target material, the target shape, the target size, the direction of the incident and reflected waves relative to the target, the target movement, and / or the target illumination.

[0107] FIG. 9 illustrates the relationship between RCS, distance (D), and power according to one embodiment of the present disclosure. The embodiment of FIG. 9 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0108] Referring to Fig. 9, the RCS of a radar target may be a virtual area required to intercept the power density transmitted from the target. For example, the relevant radar equation can be defined as Equation 2.

[0109]

[0110] Here, for example, P TX can be transmitter power [W], and G TXε₀ can be the gain of the transmitting antenna [dimensionless], D can be the distance between the EUT (equipment under test) and the target [m], and RCS is the radar cross-section [m² 2 ] could be, and P RX can be the power [W] that the EUTT receives back from the object, and A eff is the effective area of ​​the receiving antenna [m 2 ] can be. For example, A eff It can be obtained based on mathematical formula 3.

[0111]

[0112] Here, for example, G RX λ can be the gain of the receiving antenna [dimensionless], λ can be the wavelength of the radio signal [m], λ = c / f, c can be the speed of light 299792458 [m / s], and f can be the frequency [Hz].

[0113] For example, if a transmitter and a receiver are placed together and the same antenna is used for transmission and reception (G TX = G RX = G), the related radar mathematical formula can be defined as Equation 4.

[0114]

[0115] Here, for example, P TX ε₀ can be transmitter power [W], G can be the gain of the transmitting antenna [dimensionless], D can be the distance between the EUT (equipment under test) and the target [m], and RCS is the radar cross-section [m² 2 ] could be, and P RX ≠ Power [W] received back from the object by the EUT.

[0116] FIG. 10 illustrates an example of a protocol layer used to support the transmission of LTE positioning protocol (LPP) messages between a location management function (LMF) and a UE, according to one embodiment of the present disclosure. The embodiment of FIG. 10 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of said embodiments may be omitted.

[0117] LPP PDUs can be transmitted via NAS (non-access stratum) PDUs between the AMF (access and mobility management function) and the UE. Referring to FIG. 10, LPP can terminate between a target device (e.g., a UE in the control plane or a SET (SUPL (secure user plane location) enabled terminal)) in the user plane and a location server (e.g., an LMF in the control plane or an SLP (SUPL (secure user plane location) location platform)) in the user plane. LPP messages can be transmitted in the form of transparent PDUs through intermediate network interfaces using appropriate protocols, such as NGAP (NG application protocol) through the NG-C (NG-control plane) interface, and NAS / RRC through LTE-Uu and NR-Uu interfaces. The LPP protocol enables positioning for NR and LTE using various positioning methods.

[0118] For example, the target device and the location server can exchange capability information, auxiliary data for positioning, and / or location information through the LPP protocol. For example, error information exchange and / or instructions to stop the LPP procedure can be performed through LPP messages.

[0119] In the following description, various names are exemplary and may be considered to perform the same or similar functions (regardless of their names) based on the content described in each step.

[0120] In the present disclosure, the following terms may be used.

[0121] - LMF: Location management function

[0122] - UE-triggered SL positioning: SL (sidelink) positioning where the procedure is triggered by the UE

[0123] - SL positioning triggered by base station / LMF: SL positioning where the procedure is triggered by base station / LMF

[0124] - UE-controlled SL positioning: SL positioning where the SL positioning group is generated by the UE

[0125] - SL positioning controlled by a base station: SL positioning where the SL positioning group is generated by the base station

[0126] - UE-based SL positioning: SL positioning where the UE location is calculated by the UE

[0127] - UE-assisted SL positioning: SL positioning where the UE location is calculated by the base station / LMF

[0128] - SL Positioning Group: UEs participating in SL positioning

[0129] - T-UE(Target UE): UE whose position is calculated

[0130] - S-UE (Server UE): A UE that assists T-UE's positioning

[0131] - Anchor UE: A UE that assists T-UE's positioning

[0132] - MG: Measurement gap where only SL PRS transmission is allowed

[0133] - MW: Measurement window where both SL data and SL PRS can be transmitted in a multiplexed way

[0134] - SL PRS: Sidelink Positioning Reference Signal

[0135] - CCH: control channel

[0136] - IUC (Inter-UE coordination) message: A message received by the TX UE from other UEs, including the RX UE, which contains information about the set of preferred resources suitable for the TX UE to transmit to the RX UE, and / or information about the set of non-preferred resources not suitable for transmission.

[0137] - UE-based: The way a UE calculates its own location is described as "UE-based".

[0138] - TP (Transmission point): A set of transmission antennas (e.g., an antenna array having one or more antenna elements) placed at geographically identical locations for a cell, a part of a cell, or a DL PRS-only TP. Transmission points may include base station (ng-eNB or gNB) antennas, remote radio heads, remote antennas of base stations, antennas of DL PRS-only TPs, etc. A cell may include one or more transmission points. In the case of homogeneous placement, each transmission point may correspond to one cell.

[0139] - RP (Reception point): A set of receiving antennas (e.g., antenna arrays having one or more antenna elements) placed at geographically identical locations for a cell, a part of a cell, or a UL SRS (sounding reference signal)-only RP. Reception points may include base station (ng-eNB or gNB) antennas, remote radio heads, remote antennas of base stations, antennas of UL SRS-only RPs, etc. A cell may include one or more reception points. In the case of homogeneous placement, each reception point may correspond to one cell.

[0140] - PRS-only TP: A TP that transmits only PRS signals for PRS-based TBS (terrestrial beacon system) positioning and is not connected to a cell.

[0141] - TRP (transmission-reception point): A set of antennas (e.g., an antenna array (with one or more antenna elements)) placed at the same geographical location that supports TP and / or RP functions.

[0142] - SRS-only RP: An RP that receives only SRS signals for UL-only positioning and is not associated with a cell

[0143] In the present disclosure, the TRP and the base station may be replaced with the same entity.

[0144] For example, an SL PRS transmission resource may be composed of an SL PRS resource set consisting of the following information.

[0145] - SL PRS resource set ID

[0146] - SL PRS Resource ID List: List of SL PRS resource IDs within the SL PRS resource set

[0147] - SL PRS Resource Type: Can be set to periodic, aperiodic, semi-persistent, or on-demand

[0148] - Alpha for SL PRS power control

[0149] - P0 for SL PRS power control

[0150] - Path loss reference for SL PRS power control: Can be set to SL SSB, DL PRS, UL SRS, UL SRS for positioning, PSCCH DMRS, PSSCH DMRS, PSFCH, SL CSI RS, etc.

[0151] For example, the above SL PRS resource set may be composed of SL PRS resources consisting of the following information.

[0152] - SL PRS Resource ID

[0153] - SL PRS Comb Size: The interval between REs transmitted within a symbol for SL PRS.

[0154] - SL PRS Comb Offset: The RE index where the SL PRS within the first SL PRS symbol is first transmitted.

[0155] - SL PRS Comb Cyclic Shift: A cyclic shift used to generate the sequence that constitutes the SL PRS

[0156] - SL PRS start position: Index of the first symbol transmitting the SL PRS within a single slot

[0157] - Number of SL PRS symbols: The number of symbols constituting the SL PRS within a single slot

[0158] - Frequency domain shift: The lowest frequency position (index) in the frequency domain where the SL PRS is transmitted

[0159] - SL PRS BW: Frequency bandwidth used for SL PRS transmission

[0160] - SL PRS Resource Type: Can be set to periodic, aperiodic, semi-persistent, or on-demand

[0161] - SL PRS Periodicity: The period in the time domain between SL PRS resources, physical, or the unit of a logical slot in the resource pool where SL PRS is transmitted.

[0162] - SL PRS Offset: An offset in the time domain from the reference timing to the start of the first SL PRS resource, in units of physical or logical slots within the resource pool where the SL PRS is transmitted. The reference timing may be SFN=0 or DFN=0, or the time of successful reception or decoding of the RRC / MAC-CE / DCI / SCI associated with the SL PRS resource.

[0163] - SL PRS Sequence ID

[0164] - SL PRS spatial relation: Can be set to SL SSB, DL PRS, UL SRS, UL SRS for positioning, PSCCH DMRS, PSSCH DMRS, PSFCH, SL CSI RS, etc.

[0165] - SL PRS CCH: SL PRS control channel. Can signal SL PRS resource configuration information and resource locations, etc.

[0166] Conventionally, NR positioning up to Release 17 only supported network-based Uu positioning, which performed location search based on a connection between the target UE and the network (gNB / LMF). Meanwhile, starting with NR Release 18, sidelink positioning (SL positioning) using sidelink communication can be supported. Sidelink positioning is a new method that allows positioning operations to be performed by exchanging positioning reference signals through direct connections with anchor UEs surrounding the target UE, rather than with base stations. Positioning operations at the physical layer can be performed by determining the location through the transmission and measurement of the SL PRS (sidelink positioning reference signal) between the target UE and the anchor UE.

[0167] Uu positioning may use the LPP protocol. An LPP session can be a point-to-point communication protocol between a target UE and an LMF. Through the LPP protocol, the target UE can receive information necessary for positioning from the LMF. The LMF can establish the target UE and the base station (gNB) respectively, exchange positioning-related messages, and perform positioning operations through the LPP protocol and the NRPPa protocol. Meanwhile, in Release 18's sidelink positioning, positioning operations can be performed by exchanging sidelink positioning protocol messages with the target UE, server UE (or LMF), and anchor UE. In sidelink positioning, the sidelink positioning protocol (SLPP) can be used for establishing and exchanging messages between UEs.

[0168] Positioning methods (e.g., sidelink positioning) have the disadvantage that the target must possess a communication terminal and that signaling messages for location measurement must be exchanged between the transmitter and the target. This leads to increased overhead for signal processing between the target and the transmitter, and presents a fundamental limitation in that positioning itself is impossible if the target does not possess a separate communication terminal.

[0169] In contrast, the Integrated Sensing and Communication (ISAC) method can accurately detect the presence and movement of a target regardless of whether the target is carrying a communication terminal, and furthermore, can reliably acquire detailed sensing information such as the target's distance, speed, and angle. The ISAC method can estimate the characteristics of a target simply by analyzing the information reflected from the target after the signal radiated by the transmitter, without requiring a separate response signal or message from the target. Accordingly, ISAC has the advantage of significantly reducing the amount of signaling compared to positioning methods, thereby drastically lowering overhead, and simultaneously supporting more efficient and flexible sensing and communication operations.

[0170] FIG. 11 illustrates an example of an ISAC service according to one embodiment of the present disclosure. The embodiment of FIG. 11 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0171] Referring to FIG. 11, examples of various application fields to which ISAC can be applied are illustrated. Specifically, ISAC can support predictive maintenance and employee localization and authorization in the fields of smart manufacturing and industrial IoT, and can provide weather prediction, pollution monitoring, rain monitoring, and insect monitoring in the field of environmental monitoring.

[0172] In addition, in the field of Sensing as a Service, it can be utilized for drone monitoring and management, mobile crowd sensing, channel knowledge map construction, and cooperative localization and imaging.

[0173] Furthermore, in the field of remote sensing, it can support satellite imaging and broadcasting and drone swarm SAR imaging, and in the field of smart home, it can be utilized for human proximity detection, spatial-aware control, sensing-aided wireless charging, fall detection, vital signal monitoring, etc.

[0174] In addition, in the field of human-computer interaction (HCI), it enables gesture recognition, keystroke recognition, and arm / head activity recognition, and in the field of vehicle-to-everything communication (V2X), it enables the provision of various services such as high precision location, vehicle platooning, extended sensor, simultaneous localization and mapping, and secure hand-free access.

[0175] Recently, Integrated Sensing and Communication (ISAC) technology, which integrates target sensing and user communication functions in 6th generation (6G) mobile communication systems, is attracting attention as a key standardization target. Based on advantages such as efficient frequency usage, reuse of existing communication infrastructure, and cost savings from integrated sensing and communication sensors, ISAC technology is emerging as an essential technology in various industries such as autonomous driving, smart factories, unmanned aerial vehicles, and healthcare, as shown in Fig. 11.

[0176] FIG. 12 illustrates various integrated sensing and communication (ISAC) systems according to an embodiment of the present disclosure. Specifically, FIG. 12(a) illustrates an example of a network-based monostatic ISAC system, FIG. 12(b) illustrates an example of a network-based bistatic ISAC system, and FIG. 12(c) illustrates an example of a network-UE-based bistatic ISAC system (①) and a network-coordinated UE bistatic ISAC system (①+②). Additionally, FIG. 12(d) illustrates an example of a terminal-based (UE-based) monostatic ISAC system, FIG. 12(e) illustrates an example of a terminal-network (UE-network) bistatic ISAC system, and FIG. 12(f) illustrates an example of a terminal-based (UE-based) bistatic ISAC system. For example, the network may be a TRP. For example, the network may be a base station. The embodiment of FIG. 12 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0177] Referring to FIG. 12, various ISAC systems may be considered in the present disclosure to include various ISAC service embodiments. For example, in an embodiment of the present disclosure, a base station may be represented as a BS. For example, in an embodiment of the present disclosure, a terminal may be represented as a UE. For example, a transmitter may transmit a signal for sensing, and a receiver may perform sensing based on a signal reflected from an object. FIG. 12(a) may represent a network-based monostatic ISAC system. In such a system, the BS may estimate the distance and velocity of multiple targets by transmitting an ISAC signal to them and receiving the reflected signal. Here, the target may be a UE. FIG. 12(b) may represent a network-based bistatic ISAC system. In such a system, two BSs may cooperate to estimate the distance and velocity of the same multiple targets. BS 1 may be the transmitter and BS 2 may be the receiver. BS 2 can receive signals reflected by targets from the ISAC signal transmitted by BS 1. Subsequently, BS 2 can estimate the distance and velocity of the targets. Unlike monostatic systems, bistatic ISAC systems may not have information regarding the transmitted signal. Therefore, bistatic ISAC systems can obtain a target radar information matrix through pilot signals that the transmitting and receiving ends already know of each other. Figure 12 (c) may be a network-UE-based bistatic ISAC system. In such a system, the BS can transmit the ISAC signal. At this time, the BS can use beamforming techniques to direct most of the reflected signal toward the UE or have some of it return to the BS.In the former case, the UE can perform target distance and velocity estimation by receiving most of the signals transmitted by the BS. While the UE can quickly obtain information regarding the necessary targets, computational complexity may be high as the UE performs the entire process. On the other hand, in the latter case, the BS first estimates the target distance and velocity in the same manner as a mono-static ISAC system and can inform the UE of a suitable target estimation technique based on the estimation results. Through this, the UE can immediately perform target estimation using the technique provided by the BS, resulting in lower complexity.

[0178] Figure 12 (d) may be a terminal-based (UE-based) monostatic ISAC system. The system can directly estimate the target distance and velocity from the UE. Figure 12 (e) may be a terminal-network (UE-network) bistatic ISAC system. The BS can estimate the distance and velocity of multiple targets by receiving the signal reflected from the target after the ISAC signal transmitted by the UE. Figure 12 (f) may be a terminal-based (UE-based) bistatic ISAC system. In this system, the distance and velocity of targets can be estimated through bistatic between different UEs.

[0179] For example, in the present disclosure, "specific threshold" may mean a threshold that is predefined or (pre-)set by an upper layer (including the application layer) of a network, base station, or terminal. For example, in the present disclosure, "specific set value" may mean a value that is predefined or (pre-)set by an upper layer (including the application layer) of a network, base station, or terminal. For example, in the present disclosure, "set by the network / base station" may mean an action in which a base station sets to a UE (pre-) through upper layer RRC signaling, sets / signals to a UE through MAC CE, or signals to a UE through DCI.

[0180] For example, in the present disclosure, a message may be interpreted as being replaced by at least one of a control message, a data message, a signal, a data signal, and / or a control signal.

[0181] For example, referring to standard documents, some procedures and technical specifications related to the present disclosure may be as follows.

[0182] In the following description, various names are exemplary and may be considered to perform the same or similar functions (regardless of their names) based on the content described in each step.

[0183] For example, in this disclosure, various names are exemplary and may be replaced or considered as other names performing the same or similar functions based on the content described in each step (regardless of the name).

[0184] For example, a sensing node (e.g., base station / TRP or UE) can generate sensing data by receiving / measuring a sensing signal. For example, the sensing data generated in this way needs to be transmitted to a sensing function (SF) located in the core network (if necessary).

[0185] Here, for example, the SF can perform the role of a kind of FC (fusion center) that comprehensively analyzes sensing data collected from multiple sensing nodes and various sensors, and the SF can also manage sensing sessions and operations according to the sensing service as a sensing management function (SeMF) that manages sensing sessions, and the SF can expose the final sensing results to the sensing client.

[0186] For example, sensing data can be converted into various formats (e.g., form / representation method) and transmitted to the SF. For example, the sensing data formats currently under consideration include the following.

[0187] For example, 1) ADC data: This may be data collected through an ADC (analog-to-digital converter). For example, ADC data is often referred to as raw data or I / Q data. For example, this method allows the measured sensing signal to be transmitted as is without separate processing at the sensing node. For example, there may be a problem with the large size of the sensing data that needs to be transmitted to the SF.

[0188] For example, 2) RAD data: The RAD (range-angle-doppler) representation method is primarily used in radar and can represent the distance, angle, and velocity values ​​of a detected object. For example, this has the advantage of being able to transmit sensing data in a structured form regardless of the type of sensing node or sensor. However, there may be a burden on the sensing node to process the sensing data in real time, and in particular, there may be a problem in distinguishing and processing multiple moving objects in dynamic environments.

[0189] For example, 3) Point cloud data: Point cloud representation is a widely used method in most sensor applications utilizing radar, lidar, cameras, etc. For example, by spatially representing the distance, angle, and velocity values ​​of detected objects, this method can effectively represent multiple objects and allows for easy data manipulation and conversion. For example, this method can be generated using RAD data or using AI technology with ADC data.

[0190] For example, 4) Grid Map: There can be various forms of representation in grid map methods. For example, the voxel grid method, which is widely used in autonomous vehicles and robots, can include detailed information about the detected object (e.g., shape, size, color, etc.) by configuring the sensing results in three dimensions. Similarly, various AI-based grid map technologies are continuously being researched, such as methods that convert sensing data into an image form using deep learning technology.

[0191] For example, 5) Sensing results: The RAD data, point cloud data, and grid map described above can all be used as sensing results. For example, however, only brief sensing results may be transmitted in a simpler format. For example, only the detection result of a specific object (0 or 1) may be transmitted, or only the number of detected objects (e.g., 2 people, 3 cars, etc.) may be transmitted.

[0192] It has not yet been discussed or decided which sensing data format will be used in the 3GPP ISAC (integrated sensing and communication) system. For example, the factors to be considered before deciding on the sensing data format used in ISAC may be as follows.

[0193] For reference, for convenience, in this disclosure, the sensing data format may be divided into levels and referred to as L1 through L5, for example. For example, L1: ADC data, L2: RAD data, L3: point cloud data, L4: grid map, L5: sensing result may be described by substitution.

[0194] For example, 1) as the level increases, the size of the sensing data to be transmitted may decrease. For example, however, as the level increases, the sensing quality may decrease.

[0195] - For example, in the case of ADC (raw) data, the large data size may limit the transmission speed of the communication channel or degrade the communication capacity available to the user. For example, the size of sensing data according to the level can be determined by various factors such as frequency bandwidth, processing time, number of antennas, number of quantization bits, resource usage, and number of detected objects. For example, in the case of 3GPP sensing data, generally, ADC (raw) data corresponding to L1 can be calculated to be several to tens of Gbps, and point cloud data corresponding to L3 can be calculated to be tens of kbps to tens of Mbps.

[0196] - For example, conversely, data partially processed by the sensing node (e.g., RAD data or point cloud data) may have a smaller data size but may exhibit lower accuracy and quality compared to the results analyzed by the SF. For example, it may be difficult to clearly distinguish the difference between the core network's SF and the sensing node's analysis capabilities at present, as these are implementation details. However, differences in analysis capabilities between the sensing node and the SF can be expected in all aspects, such as the number of deep learning layers.

[0197] For example, 2) depending on the sensor type, the available level may be limited.

[0198] - For example, various sensor types can be used in ISAC (integrated sensing and communication). For example, there may be “3GPP sensing data” using 3GPP radio signals, and there may also be “non-3GPP sensing data” using conventional sensors such as radar, lidar, and cameras.

[0199] - For example, it may be difficult to obtain detailed information such as the shape, size, and color of a detected object with 3GPP sensing. For example, therefore, in the case of 3GPP sensing data, it may be practically difficult to support data types in the form of grid maps.

[0200] For example, 3) depending on the sensing node, the available level may vary.

[0201] - For example, various sensing nodes may exist in an ISAC. For instance, various types of 3GPP entities, such as base stations (BS / TRP), roadside units (RSU), NTNs, UAVs, normal UEs, and vehicle UEs, can be utilized as sensing nodes. For instance, depending on the sensing node, the ability to process sensing data and the method of representing the sensing data that can be processed may vary.

[0202] - For example, the sensing quality and results may vary depending on the conditions and capabilities of the sensing node, which may lead to performance degradation when fusing sensing data in the FC.

[0203] For example, to achieve maximum performance in ISAC, it is necessary to utilize as many sensing nodes and multiple sensors as possible. For instance, since the available sensing data formats / levels may differ depending on the sensing node and sensor type, using only a specific sensing data format / level can be inefficient. Therefore, a 3GPP ISAC system must be able to utilize various sensing nodes and sensors, and furthermore, a structure that can utilize both the advantages and disadvantages of various sensing data formats can enhance ISAC performance and usability.

[0204] In the present disclosure, a fallback sensing mode method and procedure for effectively utilizing various sensing data formats may be proposed.

[0205] In the present disclosure, by pre-setting a sensing data format to be used in fallback mode in addition to the initial sensing data format to be used, the loss of sensing data can be minimized through rapid change of the sensing data format and background operation.

[0206] Specifically, the technical problem according to the present disclosure may be as follows.

[0207] - Lack of standardized sensing data formats: Currently, 3GPP ISAC has various sensing data formats such as ADC, RAD, point cloud, grid map, and simplified sensing results, but there are no standards on which format to use.

[0208] - Trade-off between transmission efficiency and accuracy based on level: High levels (L1: ADC) offer high accuracy but are inefficient due to large data sizes, while low levels (L5: Result) may have lower accuracy despite smaller data sizes.

[0209] - Processable formats are limited depending on sensor type / node: Supported formats may vary depending on the type of sensor (e.g., 3GPP sensing, radar, lidar, camera) and the node (e.g., BS, RSU, UAV).

[0210] - Lack of a response mechanism for sensing failures or QoS substandard performance: There is no proper fallback system in case of unsatisfactory performance while using a specific format.

[0211] For example, the procedures and methods proposed in this disclosure may be as follows.

[0212] FIG. 13 illustrates a sensing procedure based on a sensor type and a sensing data format according to one embodiment of the present disclosure. The embodiment of FIG. 13 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of said embodiments may be omitted.

[0213] Referring to FIG. 13, for example, at step S1310, the first device may transmit a sensing capability exchange message to the second device. For example, the second device may receive information from the first device regarding supported sensor types (e.g., 3GPP sensing, radar, lidar, camera, etc.) and also information regarding supported sensing data formats for each sensor type (e.g., ADC data, RAD data, point cloud data, grid map, sensing result, etc.) in order to determine the sensing data format. For example, this information may be conveyed through a (tentative) sensing capability exchange message. For example, step S1310 may be omitted.

[0214] For example, at step S1320, the first device may receive a sensing type and a sensing data format from the second device. For example, the second device may set the sensor type and sensing data format (e.g., format) to be used initially based on the information from the first device. For example, in the present disclosure, this may be referred to as an “initial mode (e.g., initial sensing mode).” For example, the sensor type and sensing data format to be used in the initial mode by the second device may be determined by considering sensing service requirements and sensing data fusing, etc.

[0215] For example, if a problem occurs in the initial mode, the first device may use a different sensor and / or a different sensing data format. For example, in this disclosure, this may be referred to as a “fallback mode (e.g., fallback sensing mode).”

[0216] For example, if the accuracy / reliability of the results of the sensing data transmitted from the first device to the second device is unsatisfactory (e.g., failing to meet QoS standards), the second device may request lower-level sensing data from the first device. For example, if the accuracy / reliability of the RAD data or point cloud data transmitted from the first device to the second device is low, the second device may request the first device to send ADC data, and the second device may use more powerful computing power to analyze the ADC data and achieve higher accuracy / reliability.

[0217] For example, the sensor types and sensing data formats supported by the first device may differ in the initial mode and the fallback mode. For example, to this end, the first device may distinguish and notify the initial mode and the sensing data format according to the mode in step 1.

[0218] For example, in step S1330, the first device can acquire sensing data. For example, with a sensor type and sensing data format set in the initial mode, the first device can acquire sensing data.

[0219] For example, in step S1340, for example, the first device can transmit sensing data to the second device with a sensor type and sensing data format set in the initial mode.

[0220] For example, transition to fallback mode may be possible through explicit signaling (e.g., fallback command) from the second device to the first device. For example, the first device may transition to fallback mode on its own without explicit signaling of fallback mode transition from the second device.

[0221] For example, in FIG. 13, the first device may be a sensing node. Here, for example, the sensing node may be a base station / TRP or a UE. Here, for example, the sensing node may be various forms of 3GPP entities such as a base station (BS / TRP), an RSU (road side unit), an NTN, a UAV, a normal UE, a vehicle UE, etc. For example, in FIG. 13, the second device may be a core network. Here, for example, the core network may be an SF.

[0222] For example, Step 1) Exchange information on supported sensor types and sensing data formats

[0223] For example, SF can receive information on supported sensor types (e.g., 3GPP sensing, radar, lidar, camera, etc.) from the sensing node to determine the sensing data format, as well as information on the supported sensing data formats for each sensor type (e.g., ADC data, RAD data, point cloud data, grid map, sensing results, etc.).

[0224] - For example, this information may be conveyed through a (tentative) sensing capability exchange message. For example, this information may be included in a (tentative) sensing capability exchange message. For example, this information may be included in a (tentative) sensing capability exchange message and transmitted or received.

[0225] - For example, as an example of ASN.1, an ASN.1 IE that supports five sensing data formats (ADC data, RAD data, point cloud, grid map, sensing result) for four sensor types (3GPP, radar, lidar, camera) may be as shown in Table 3 below.

[0226]

[0227] - For example, the sensing node can inform the SF of the multi-sensor information it supports and all sensing data formats supported for each sensor.

[0228] For example, Step 2) Determine the sensor type and sensing data format to be used in initial mode

[0229] For example, SF can set the sensor type and sensing data format (e.g., format) to be used initially based on information from the sensing node. For example, in the present disclosure, this may be called an “initial mode (e.g., initial sensing mode).”

[0230] For example, the sensor type and sensing data format to be used in the initial mode of SF can be determined by considering sensing service requirements and sensing data fusing, etc.

[0231] - For example, SF may use the same or different sensor types for each sensing node to effectively fusing multiple sensing nodes and multi-sensing data (e.g., multi-modal sensing data). For example, multi-sensor data may also be required from a single sensing node.

[0232] - For example, SF can determine the sensor type and sensing data format according to the sensing service requirements. For example, SF can use a camera sensor if the service requires information such as the shape and color of a specific object.

[0233] For example, if sensing data from multiple sensors is required by a single sensing node, a priority can be set for each sensor. For instance, the sensing node can perform the processing and transmission of sensing data according to the priority.

[0234] For example, Step 3) Set the sensor type and sensing data format to be used in fallback mode

[0235] For example, if a problem occurs in the initial mode, the sensing node may use a different sensor and / or a different sensing data format. For example, in this disclosure, this may be referred to as a “fallback mode (e.g., fallback sensing mode).”

[0236] For example, if the accuracy / reliability of the results of the sensing data transmitted from the sensing node to the SF is unsatisfactory (e.g., failing to meet QoS standards), the SF may request lower-level sensing data from the sensing node. For example, if the accuracy / reliability of the RAD data or point cloud data transmitted from the sensing node to the SF is low, the SF may request the sensing node to send ADC data, and the SF may use more powerful computing power to analyze the ADC data and achieve higher accuracy / reliability.

[0237] For example, depending on the sensing node, the supported sensor types and sensing data formats may differ in the initial mode and the fallback mode. For example, to this end, the sensing node may distinguish and notify the initial mode and the sensing data format according to the mode in step 1.

[0238] - For example, as an example of ASN.1, an ASN.1 IE that can indicate the sensor type and sensing data format available in the initial mode (e.g., initial sensing mode) and additionally the sensor type and sensing data format available in the (optional) fallback mode (e.g., fallback sensing mode) may be as shown in Table 4 below.

[0239]

[0240] For example, in SF, the sensor type to operate in fallback mode, the sensing data format, and / or storage conditions (time) can be set.

[0241] - For example, as an example of ASN.1, an ASN.1 IE that can set the sensor type and sensing data format to be used in the initial mode (e.g., initial sensing mode) and additionally set the sensor type, sensing data format and / or storage time for the (optional) fallback mode (e.g., fallback sensing mode) may be as shown in Table 5 below.

[0242]

[0243] For example, Step 4) Transition to fallback mode and operation

[0244] For example, 4-1) Background sensing operation and sensing data collection

[0245] For example, the sensing node can transmit sensing data to the SF with the sensor type and sensing data format set in the initial mode. For example, if a transition to fallback mode occurs, the SF may not be able to obtain meaningful sensing results during the time it operated in the initial mode. For example, therefore, while operating in the initial mode, the sensing node can run the fallback mode in the background. For example, the sensing node can transmit the sensing data stored through this background operation to the SF upon transitioning to fallback mode. Through this, the SF can minimize the loss of sensing data.

[0246] For example, to this end, when the sensing node operates in initial mode, it can store sensing data of the sensor type and sensing data format set in fallback mode for a “fallback save time (e.g., FallbackSaveTime)”.

[0247] For example, for reference, the sensing node can discard sensing data after the fallback storage time has expired to prevent the problem of infinitely storing sensing data in the background.

[0248] Here, for example, the fallback save time (e.g., FallbackSaveTime) can be calculated as a past time based on the point in time when the sensing node transmits the sensing data stored by the sensing node to the SF and receives a successful reception.

[0249] For example, as one embodiment, the sensor type of the fallback mode can be set to be the same as the sensor type set in the initial mode, and can be set to a lower level (e.g., ADC data) than the sensing data format of the initial mode.

[0250] For example, 4-2) Fallback mode switching by SF signaling

[0251] For example, a transition to fallback mode may be enabled via explicit signaling (e.g., a fallback command) to a specific sensing node in the SF. For example, since the sensor type and sensing data format to operate in fallback mode were configured in Step 3, the SF can deliver a simplified fallback signal to the sensing node operating in fallback mode. Here, for example, simplified signaling may mean that a long signal for configuration is not required, and in Step 3, multiple sensor types and sensing data formats configured using the sensor number (e.g., SensorNumber) can be indexed numerically. For example, using this, simplified signaling may be possible and can be quickly delivered as MAC CE or physical signaling, rather than as sensing protocol or RRC protocol signaling.

[0252] - For example, if multiple sensor types and sensing data formats are set when setting the 3-stage fallback mode, the sensor type / format to receive the stored sensing data during the “fallback save time (e.g., FallbackSaveTime)” may be specified.

[0253] - For example, if you want to specify a sensor type and sensing data format to operate in fallback mode that are different from the stored sensing data, these can be specified separately.

[0254] - For example, if SF does not provide a specific value among multiple fallback mode settings, the sensing node may operate in default mode (e.g., DefaultMode).

[0255] For example, 4-3) Switching to fallback mode based on sensing node judgment

[0256] For example, the sensing node can switch to fallback mode on its own without explicit fallback mode switching signaling from SF.

[0257] For example, if the sensing node is operating at a higher level, it can measure the accuracy / reliability of the analysis results. For example, if the measured accuracy / reliability is low (e.g., below the required QoS), the sensing node can switch to a level lower than the currently operating level among the levels set in Step 3. For example, this can reduce signaling overhead between the SF and the sensing node and enable faster mode switching.

[0258] For example, such automatic transition may be possible if the automatic transition (e.g., AutoTransition) among the fallback mode sensor type and sensing data format set in step 3 is set to true (e.g., true (1)). For example, the sensing node can automatically transition to fallback mode with the sensor type and sensing data format in which the automatic transition (e.g., AutoTransition) is set to true (e.g., true (1)).

[0259] The term SMF used in this disclosure is not limited to that term. For example, the term SMF may be replaced with the term SF.

[0260] The term "core network" as used in this disclosure is not limited to that term. For example, the term "core network" may be replaced with the term "SF".

[0261] For the sake of brevity, this disclosure describes a scenario based on an SMF and a single UE / BS. However, an SMF can perform sensing operations in conjunction with one or more UE / BSs, and the contents of this disclosure can be applied in the same or similar manner even when performing sensing operations in conjunction with multiple UE / BSs.

[0262] The methods proposed in this disclosure can be applied to both 3GPP sensing data and non-3GPP sensing data.

[0263] For example, in the present disclosure, sensing data may be data derived by a sensing radio measurement entity based on radio signals (e.g., reflected, refracted, diffracted) affected by an object or environment of interest for the purpose of sensing. For example, this data may be raw measurements and may optionally be further processed within the sensing radio measurement entity. For example, the sensing data may include at least one of 3GPP sensing data or non-3GPP sensing data.

[0264] For example, in the present disclosure, 3GPP sensing data is data obtained from 3GPP radio signals that have been affected (e.g., reflected, refracted, diffracted) by an object or environment of interest for the purpose of sensing, and may optionally be processed within a 5G system.

[0265] For example, in the present disclosure, non-3GPP sensing data may be data provided by a non-3GPP sensor (e.g., video, LiDAR, sonar) regarding an object or environment of interest for the purpose of sensing.

[0266] For example, in the present disclosure, 5G / 6G radio sensing may be a 5GS / 6GS function that provides a function to acquire information about the characteristics of an environment and / or objects within the environment (e.g., shape, size, orientation, speed, location, distance, relative movement between objects, etc.) using NR radio frequency signals, and may, in some cases, be extended by information generated through a previously defined function in the EPC and / or E-UTRAN.

[0267] For example, in the present disclosure, sensing auxiliary information may be information provided to a 5G system from a trusted third party and may be used to support the derivation of sensing results. This information may not include 3GPP sensing data. For example, examples of sensing auxiliary information may include map information, location information, a UE identifier (ID) attached to or located near a sensing target, UE location information, UE velocity information, etc.

[0268] For example, in the present disclosure, sensing context information may be information that a 5G / 6G system exposes to a trusted third party along with the sensing results, and may provide context regarding the conditions under which the sensing results were derived. This information may not include 3GPP sensing data. For example, examples of sensing context information may include map information, location information, time of capture, UE location, and ID. This context information may be required in scenarios where the sensing results need to be combined with data from other sources outside of 5GS.

[0269] For example, in the present disclosure, a sensing group may be a set of sensing transmitters and sensing receivers whose locations are known and capable of synchronously collecting sensing data.

[0270] For example, in the present disclosure, a sensing receiver may be an entity that receives a sensing signal used by a sensing service in operation. The sensing receiver may be a RAN node or part of a UE. The sensing receiver may be located in the same entity as the sensing transmitter or in a different entity.

[0271] For example, in the present disclosure, the sensing result may be processed 3GPP sensing data requested by a service consumer.

[0272] For example, in the present disclosure, a sensing signal may be a transmission signal on a 3GPP radio interface that can be used for sensing purposes. For example, this definition may refer to NR radio frequency signals and, in some cases, may be extended to information generated from existing functions of the EPC and / or E-UTRAN.

[0273] For example, a sensing transmitter may be an entity that transmits a sensing signal used by a sensing service in an operation. A sensing transmitter may be part of a RAN node or a UE. A sensing transmitter may be located in the same entity as a sensing receiver or in a different entity.

[0274] For example, the target sensing service area may be an orthogonal coordinate location area that satisfies a specific sensing service quality and is to be sensed by deriving the characteristics of the environment and / or objects within the environment from 3GPP radio signals that have been affected (e.g., reflected, refracted, diffracted). This may include both indoor and outdoor environments.

[0275] For example, the present disclosure may be applied to base stations (e.g., TRP) and / or terminal monostatics. For example, the present disclosure may also be applied to base station-base station (e.g., TRP-TRP), base station-UE (e.g., TRP-UE), UE-base station (e.g., UE-TRP), and / or UE-UE bistatics.

[0276] For example, in the present disclosure, "specific threshold" may mean a threshold that is predefined or (pre-)set by an upper layer (including the application layer) of a network, base station, or terminal. For example, in the present disclosure, "specific set value" may mean a value that is predefined or (pre-)set by an upper layer (including the application layer) of a network, base station, or terminal. For example, in the present disclosure, "set by the network / base station" may mean an action in which a base station sets to a UE (pre-) through upper layer RRC signaling, sets / signals to a UE through MAC CE, or signals to a UE through DCI.

[0277] For example, in the present disclosure, a message may be interpreted as being replaced by at least one of a control message, a data message, a signal, a data signal, and / or a control signal. For example, in the present disclosure, various names are exemplary and may be replaced by or considered as performing the same or similar function based on the content described in each step (regardless of the name).

[0278] For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically to the resource pool (or differently or independently). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically to the congestion level (or differently or independently). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically to the service priority (or differently or independently). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically to the service type (or differently or independently). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically to QoS requirements (e.g., latency, reliability) (or differently or independently). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically (or differently or independently) to PQI (5QI (5G QoS identifier) ​​for PC5). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically (or differently or independently) to traffic types (e.g., periodic generation or non-periodic generation). For example, the applicability of (some) proposed methods / rules of the present disclosure and / or related parameters (e.g., thresholds) may be set specifically (or differently or independently) to SL transmission resource allocation modes (e.g., Mode 1 or Mode 2).For example, whether the (some) proposed methods / rules of the present disclosure apply and / or related parameters (e.g., thresholds) may be specifically (or differently or independently) set to a Tx profile (e.g., a Tx profile indicating that the service supports sidelink DRX operation or a Tx profile indicating that the service does not support sidelink DRX operation).

[0279] For example, the applicability of the proposed rules of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set depending on whether PUCCH setting is supported (e.g., when a PUCCH resource is set or when a PUCCH resource is not set). For example, the applicability of the proposed rules of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set for a resource pool (e.g., a resource pool where PSFCH is set or a resource pool where PSFCH is not set). For example, the applicability of the proposed rules of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set for the type of service / packet. For example, the applicability of the proposed rules of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set for the priority of the service / packet. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be set specifically (or differently or independently) to a QoS profile or QoS requirements (e.g., URLLC / EMBB traffic, reliability, latency). For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be set specifically (or differently or independently) to a PQI. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be set specifically (or differently or independently) to a PFI. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be set specifically (or differently or independently) to a cast type (e.g., unicast, groupcast, broadcast). For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be set specifically (or differently or independently) to a (resource pool) congestion level (e.g., CBR).For example, whether the proposed rule of the present disclosure applies and / or the related parameter setting value may be set specifically (or differently or independently) to an SL HARQ feedback method (e.g., NACK-only feedback, ACK / NACK feedback). For example, whether the proposed rule of the present disclosure applies and / or the related parameter setting value may be set specifically (or differently or independently) to HARQ Feedback Enabled MAC PDU transmission. For example, whether the proposed rule of the present disclosure applies and / or the related parameter setting value may be set specifically (or differently or independently) to HARQ Feedback Disabled MAC PDU transmission. For example, whether the proposed rule of the present disclosure applies and / or the related parameter setting value may be set specifically (or differently or independently) depending on whether a PUCCH-based SL HARQ feedback reporting operation is enabled. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set depending on whether pre-emption or pre-emption-based resource reselection is performed. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set depending on whether re-evaluation or re-evaluation-based resource reselection is performed. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set to the (L2 or L1) (source and / or destination) identifier. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting values ​​may be specifically (or differently or independently) set to the (L2 or L1) (combination of source ID and destination ID) identifier.For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting value may be set specifically (or differently or independently) to the identifier (L2 or L1) (combination of the pair of source ID and destination ID and cast type). For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting value may be set specifically (or differently or independently) to the direction of the pair of source layer ID and destination layer ID. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting value may be set specifically (or differently or independently) to the PC5 RRC connection / link. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting value may be set specifically (or differently or independently) depending on whether SL DRX is performed. For example, the applicability of the proposal rule of the present disclosure and / or the related parameter setting value may be set specifically (or differently or independently) depending on whether SL DRX is supported. For example, whether the proposed rules of the present disclosure apply and / or the related parameter setting values ​​may be set specifically (or differently or independently) to an SL mode type (e.g., resource allocation mode 1 or resource allocation mode 2). For example, whether the proposed rules of the present disclosure apply and / or the related parameter setting values ​​may be set specifically (or differently or independently) to cases where (non)periodic resource reservation is performed. For example, whether the proposed rules of the present disclosure apply and / or the related parameter setting values ​​may be set specifically (or differently or independently) to a Tx profile (e.g., a Tx profile indicating that the service supports sidelink DRX operation or a Tx profile indicating that the service does not support sidelink DRX operation).

[0280] The applicability of the proposals and proposal rules of the present disclosure (and / or related parameter setting values) may also apply to mmWave sidelink operations.

[0281] For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the service type (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the priority (LCH or service) (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to QoS requirements (e.g., latency, reliability, minimum communication range) (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the PQI parameter (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the SL HARQ feedback ENABLED LCH / MAC PDU (transmission) (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to SL HARQ feedback DISABLED LCH / MAC PDU (transmission). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to CBR measurement values ​​of the resource pool. For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to SL cast type (e.g., unicast, groupcast, broadcast).For example, the application status of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to SL GroupCast HARQ feedback options (e.g., NACK only feedback, ACK / NACK feedback, TX-RX distance-based NACK only feedback). For example, the application status of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to SL Mode 1 CG type (e.g., SL CG type 1 or SL CG type 2). For example, the application status of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to SL Mode type (e.g., Mode 1 or Mode 2). For example, the application status of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to resource pool. For example, the parameter values ​​regarding the applicability of the above rule and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) depending on whether the PSFCH resource is a resource pool where it is configured. For example, the parameter values ​​regarding the applicability of the above rule and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) depending on the source (L2) ID. For example, the parameter values ​​regarding the applicability of the above rule and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) depending on the destination (L2) ID. For example, the parameter values ​​regarding the applicability of the above rule and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) depending on the PC5 RRC connection link.For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the SL link (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the connection status (e.g., RRC CONNECTED status, IDLE status, INACTIVE status) (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the SL HARQ process (ID) (or differently or independently). For example, the applicability of the above rule and / or parameter values ​​related to the proposed method / rule of the present disclosure may be set / allowed specifically to the SL DRX operation (of the TX UE or RX UE) (or differently or independently). For example, the parameter values ​​regarding whether the above rule applies and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to the power saving (TX or RX) UE. For example, the parameter values ​​regarding whether the above rule applies and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to the case where PSFCH TX and PSFCH RX overlap (and / or multiple PSFCH TXs exceeding the UE's capability) (and / or where PSFCH TX (and / or PSFCH RX) are omitted) from the perspective of a specific UE. For example, the parameter values ​​regarding whether the above rule applies and / or the proposed method / rule of the present disclosure may be set / allowed specifically (or differently or independently) to the case where the RX UE actually (successfully) receives a PSCCH (and / or PSSCH) (re)transmission from the TX UE.

[0282] For example, the setting (or designation) wording in the present disclosure may be interpreted in an extended manner, such as a form in which a base station informs a terminal through a predefined (physical layer or upper layer) channel / signal (e.g., SIB, RRC, MAC CE) (and / or a form provided through pre-configuration and / or a form in which a terminal informs another terminal through a predefined (physical layer or upper layer) channel / signal (e.g., SL MAC CE, PC5 RRC)).

[0283] For example, the PSFCH wording in the present disclosure may be extended to (NR or LTE) PSSCH (and / or (NR or LTE) PSCCH) (and / or (NR or LTE) SL SSB (and / or UL channel / signal)). Additionally, the proposed methods of the present disclosure may be combined with each other and extended (in a new form).

[0284] For example, in the present disclosure, a specific threshold value may refer to a threshold value that is predefined or set (in advance) by an upper layer (including the application layer) of a network, base station, or terminal. For example, in the present disclosure, a specific setting value may refer to a value that is predefined or set (in advance) by an upper layer (including the application layer) of a network, base station, or terminal. For example, an operation set by a network / base station may refer to an operation in which the base station sets (in advance) to the UE through upper layer RRC signaling, sets / signals to the UE through MAC CE, or signals to the UE through DCI.

[0285] In an embodiment of the present disclosure, the message may be interpreted as being replaced with a control message or a data message or a signal or a data signal or a control signal.

[0286] In an embodiment of the present disclosure, a beam management operation may be interpreted as being replaced by beam selection or spatial filter selection or beam pairing or spatial filter pairing or beam failure recovery or spatial filter recovery or beam sweeping or spatial filter sweeping or beam switching or spatial filter switching or measurement of a reference signal resource or measurement of a reference signal resource reporting operation or beam reporting or spatial filter reporting, etc.

[0287] In an embodiment of the present disclosure, the beam may be interpreted by replacing it with an RS or an RS resource or a spatial filter resource.

[0288] In an embodiment of the present disclosure, RS can be interpreted as being replaced by an RS resource or a spatial filter resource.

[0289] In an embodiment of the present disclosure, the transmission terminal may be interpreted as being replaced with a terminal that transmits a beam, a terminal that transmits a beam RS, or a terminal that transmits a beam RS resource.

[0290] In an embodiment of the present disclosure, the receiving terminal may be interpreted as being replaced with a terminal receiving a beam, a terminal receiving a beam RS, or a terminal receiving a beam RS resource.

[0291] In an embodiment of the present disclosure, the transmission beam or reception beam information transmitted and received by the terminal may be interpreted as being replaced with resource information of a reference signal (RS) associated with the transmission beam and resource information of a reference signal (RS) associated with the reception beam.

[0292] In an embodiment of the present disclosure, a DCR (direct communication request) and / or DCA (direct communication accept) message may be interpreted as being replaced by a PC5-S DCR and / or PC5-S DCA message, etc.

[0293] In embodiments of the present disclosure, spatial setting and / or transmission configuration indication (TCI) information and / or quasi-co-location (QCL) information and / or beams, etc., may refer to each other and / or may be interpreted as being replaced by beam-related information, beam direction, spatial domain transmission or reception filter, etc.

[0294] In an embodiment of the present disclosure, the beam may be interpreted as being replaced by a transmitting beam or a receiving beam or a spatial filter or a spatial transmission (TX) filter or a spatial area transmission (TX) filter or a spatial reception (RX) filter or a spatial area reception (RX) filter.

[0295] In an embodiment of the present disclosure, the transmit / transmit beam may be interpreted as being replaced by a spatial transmission (TX) filter or a spatial area transmission (TX) filter.

[0296] In an embodiment of the present disclosure, the receiving beam may be interpreted as being replaced by a spatial receiving (RX) filter or a spatial area receiving (RX) filter.

[0297] In an embodiment of the present disclosure, the fact that the spatial setting information (or beam information) for transmission is identical may mean that the spatial area TX filter of the terminal is identical for two different transmission signals. In an embodiment of the present disclosure, the fact that the spatial setting information (or beam information) for reception is identical may mean that two different reception signals are in a QCL 'TypeD' relationship and / or have a relationship using the same spatial RX parameter.

[0298] For example, the control message (or signal) and / or data message (or signal) in the present disclosure may mean a control message (or signal) and / or data message (or signal) for wireless communication (e.g., LTE communication, NR communication, 6G communication, Wi-Fi communication, Bluetooth communication, and / or other wireless communication) that is not a radar signal.

[0299] For example, the source ID and destination ID disclosed in the present disclosure may mean a source layer 1 ID and a destination layer 1 ID and / or a source layer 2 ID and a destination layer 2 ID.

[0300] FIG. 14 illustrates a method in which a first device performs wireless communication according to one embodiment of the present disclosure. The embodiment of FIG. 14 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of said embodiments may be omitted.

[0301] Referring to FIG. 14, in step S1410, the first device may receive information related to a sensor type and information related to a sensing data format from the second device. In step S1420, the first device may acquire sensing data based on the information related to the sensor type and the information related to the sensing data format. In step S1430, the first device may transmit the sensing data to the second device.

[0302] For example, the first device may transmit a sensing capability exchange message to the second device. For example, in response to the sensing capability exchange message, information related to the sensor type and information related to the sensing data format may be received. For example, the sensing capability exchange message may include information related to the sensor type supported by the first device and information related to the sensing data format supported by the first device. For example, the supported sensing data format may be related to the supported sensor type.

[0303] For example, the information related to the sensor type may include at least one of information related to 3GPP (3rd generation partnership project) sensing, information related to radar, information related to lidar, or information related to a camera.

[0304] For example, the information related to the sensing data format may include at least one of information related to analog-to-digital converter (ADC) data, information related to range-angle-doppler (RAD) data, information related to point cloud data, information related to a grid map, or information related to a sensing result.

[0305] For example, information related to the initial mode may include information related to the sensor type and information related to the sensing data format. For example, the information related to the sensor type may be first information related to a first sensor type. For example, the information related to the sensing data format may be second information related to the first sensing data format. For example, the first device may receive information related to the fallback mode from the second device, including third information related to a second sensor type and fourth information related to a second sensing data format. For example, the information related to the initial mode may be set independently of the information related to the fallback mode.

[0306] For example, based on the information related to the initial mode, the first device may operate in the initial mode. For example, based on the information related to the fallback mode, and based on the fact that the first device is operating in the initial mode, the first device may operate the fallback mode in the background.

[0307] For example, based on the fact that the quality of service (QoS) of the sensing data is below a threshold value, the first device may switch from the initial mode to the fallback mode.

[0308] For example, the QoS of the sensing data may be at least one of the accuracy of the sensing data or the reliability of the sensing data.

[0309] For example, the sensing data may be first sensing data. For example, based on switching to the fallback mode, the first device may acquire second sensing data. For example, the size of the second sensing data may be larger than the size of the first sensing data.

[0310] For example, the information related to the initial mode may include information related to a sensor number. For example, the information related to the sensor number may be related to the mapping of the sensor type and the sensing data format.

[0311] For example, the information related to the sensor number can be received via MAC (medium access control), CE (control element), or physical layer signaling.

[0312] For example, the information related to the initial mode may include information related to the fallback storage time. For example, the information related to the fallback storage time may be related to the storage time of fallback sensing data acquired in the background.

[0313] For example, the first device may be a sensing node. For example, the second device may be a core network. For example, the sensing node may include at least one of a base station, a TRP, or a UE. For example, the core network may include a sensing function.

[0314] The proposed method above may be applied to a device according to various embodiments of the present disclosure. First, a processor (102) of a first device (100) may receive information related to a sensor type and information related to a sensing data format from a second device (for example, the processor (102) of the first device (100) may control a transceiver (106) to receive information related to a sensor type and information related to a sensing data format from the second device). Then, the processor (102) of the first device (100) may acquire sensing data based on the information related to the sensor type and the information related to the sensing data format (for example, the processor (102) of the first device (100) may control a transceiver (106) to acquire sensing data based on the information related to the sensor type and the information related to the sensing data format). And, the processor (102) of the first device (100) can transmit the sensing data to the second device (for example, the processor (102) of the first device (100) can control the transceiver (106) to transmit the sensing data to the second device).

[0315] According to one embodiment of the present disclosure, a first device may be provided. For example, the first device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the first device, based on execution by the at least one processor: to receive from a second device information related to a sensor type and information related to a sensing data format; to acquire sensing data based on the information related to the sensor type and the information related to the sensing data format; and to transmit the sensing data to the second device.

[0316] For example, the first device may transmit a sensing capability exchange message to the second device. For example, in response to the sensing capability exchange message, information related to the sensor type and information related to the sensing data format may be received. For example, the sensing capability exchange message may include information related to the sensor type supported by the first device and information related to the sensing data format supported by the first device. For example, the supported sensing data format may be related to the supported sensor type.

[0317] For example, the information related to the sensor type may include at least one of information related to 3GPP (3rd generation partnership project) sensing, information related to radar, information related to lidar, or information related to a camera.

[0318] For example, the information related to the sensing data format may include at least one of information related to analog-to-digital converter (ADC) data, information related to range-angle-doppler (RAD) data, information related to point cloud data, information related to a grid map, or information related to a sensing result.

[0319] For example, information related to the initial mode may include information related to the sensor type and information related to the sensing data format. For example, the information related to the sensor type may be first information related to a first sensor type. For example, the information related to the sensing data format may be second information related to the first sensing data format. For example, the first device may receive information related to the fallback mode from the second device, including third information related to a second sensor type and fourth information related to a second sensing data format. For example, the information related to the initial mode may be set independently of the information related to the fallback mode.

[0320] For example, based on the information related to the initial mode, the first device may operate in the initial mode. For example, based on the information related to the fallback mode, and based on the fact that the first device is operating in the initial mode, the first device may operate the fallback mode in the background.

[0321] For example, based on the fact that the quality of service (QoS) of the sensing data is below a threshold value, the first device may switch from the initial mode to the fallback mode.

[0322] For example, the QoS of the sensing data may be at least one of the accuracy of the sensing data or the reliability of the sensing data.

[0323] For example, the sensing data may be first sensing data. For example, based on switching to the fallback mode, the first device may acquire second sensing data. For example, the size of the second sensing data may be larger than the size of the first sensing data.

[0324] For example, the information related to the initial mode may include information related to a sensor number. For example, the information related to the sensor number may be related to the mapping of the sensor type and the sensing data format.

[0325] For example, the information related to the sensor number can be received via MAC (medium access control), CE (control element), or physical layer signaling.

[0326] For example, the information related to the initial mode may include information related to the fallback storage time. For example, the information related to the fallback storage time may be related to the storage time of fallback sensing data acquired in the background.

[0327] For example, the first device may be a sensing node. For example, the second device may be a core network. For example, the sensing node may include at least one of a base station, a TRP, or a UE. For example, the core network may include a sensing function.

[0328] According to one embodiment of the present disclosure, a processing device (configured to control a first device) may be provided. For example, the processing device may include at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the first device, based on execution by the at least one processor, to: receive from a second device information related to a sensor type and information related to a sensing data format; acquire sensing data based on the information related to the sensor type and the information related to the sensing data format; and transmit the sensing data to the second device.

[0329] According to one embodiment of the present disclosure, a non-transient computer-readable storage medium recording instructions may be provided. For example, when the instructions are executed, the first device may: receive from a second device information related to a sensor type and information related to a sensing data format; acquire sensing data based on the information related to the sensor type and the information related to the sensing data format; and transmit the sensing data to the second device.

[0330] FIG. 15 illustrates a method in which a second device performs wireless communication according to one embodiment of the present disclosure. The embodiment of FIG. 15 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0331] Referring to FIG. 15, in step S1510, the second device may transmit to the first device information related to a sensor type and information related to a sensing data format. In step S1520, the second device may receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0332] For example, the second device may receive a sensing capability exchange message from the first device. For example, in response to the sensing capability exchange message, information related to the sensor type and information related to the sensing data format may be transmitted. For example, the sensing capability exchange message may include information related to the sensor type supported by the first device and information related to the sensing data format supported by the first device. For example, the supported sensing data format may be related to the supported sensor type.

[0333] For example, the information related to the sensor type may include at least one of information related to 3GPP (3rd generation partnership project) sensing, information related to radar, information related to lidar, or information related to a camera.

[0334] For example, the information related to the sensing data format may include at least one of information related to analog-to-digital converter (ADC) data, information related to range-angle-doppler (RAD) data, information related to point cloud data, information related to a grid map, or information related to a sensing result.

[0335] For example, information related to the initial mode may include information related to the sensor type and information related to the sensing data format. For example, the information related to the sensor type may be first information related to a first sensor type. For example, the information related to the sensing data format may be second information related to the first sensing data format. For example, the second device may transmit information related to the fallback mode to the first device, including third information related to a second sensor type and fourth information related to a second sensing data format. For example, the information related to the initial mode may be set independently of the information related to the fallback mode.

[0336] For example, based on the information related to the initial mode, operation can be performed in the initial mode. For example, based on the information related to the fallback mode and based on the fact that the initial mode is in operation, the fallback mode can be operated in the background.

[0337] For example, based on the fact that the quality of service (QoS) of the sensing data is below a threshold value, the system may switch from the initial mode to the fallback mode.

[0338] For example, the QoS of the sensing data may be at least one of the accuracy of the sensing data or the reliability of the sensing data.

[0339] For example, the sensing data may be the first sensing data. For example, based on switching to the fallback mode, the second sensing data may be acquired. For example, the size of the second sensing data may be larger than the size of the first sensing data.

[0340] For example, the information related to the initial mode may include information related to a sensor number. For example, the information related to the sensor number may be related to the mapping of the sensor type and the sensing data format.

[0341] For example, the information related to the sensor number can be transmitted to a MAC (medium access control) CE (control element) or physical layer signaling.

[0342] For example, the information related to the initial mode may include information related to the fallback storage time. For example, the information related to the fallback storage time may be related to the storage time of fallback sensing data acquired in the background.

[0343] For example, the first device may be a sensing node. For example, the second device may be a core network. For example, the sensing node may include at least one of a base station, a TRP, or a UE. For example, the core network may include a sensing function.

[0344] The proposed method above may be applied to a device according to various embodiments of the present disclosure. First, the processor (202) of the second device (200) may transmit information related to a sensor type and information related to a sensing data format to the first device (for example, the processor (202) of the second device (200) may control the transceiver (206) to transmit information related to a sensor type and information related to a sensing data format to the first device). Then, the processor (202) of the second device (200) may receive sensing data related to the information related to the sensor type and information related to the sensing data format from the first device (for example, the processor (202) of the second device (200) may control the transceiver (206) to receive sensing data related to the information related to the sensor type and information related to the sensing data format from the first device).

[0345] According to one embodiment of the present disclosure, a second device may be provided. For example, the second device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the second device to: transmit to the first device information related to a sensor type and information related to a sensing data format; and receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0346] For example, the second device may receive a sensing capability exchange message from the first device. For example, in response to the sensing capability exchange message, information related to the sensor type and information related to the sensing data format may be transmitted. For example, the sensing capability exchange message may include information related to the sensor type supported by the first device and information related to the sensing data format supported by the first device. For example, the supported sensing data format may be related to the supported sensor type.

[0347] For example, the information related to the sensor type may include at least one of information related to 3GPP (3rd generation partnership project) sensing, information related to radar, information related to lidar, or information related to a camera.

[0348] For example, the information related to the sensing data format may include at least one of information related to analog-to-digital converter (ADC) data, information related to range-angle-doppler (RAD) data, information related to point cloud data, information related to a grid map, or information related to a sensing result.

[0349] For example, information related to the initial mode may include information related to the sensor type and information related to the sensing data format. For example, the information related to the sensor type may be first information related to a first sensor type. For example, the information related to the sensing data format may be second information related to the first sensing data format. For example, the second device may transmit information related to the fallback mode to the first device, including third information related to a second sensor type and fourth information related to a second sensing data format. For example, the information related to the initial mode may be set independently of the information related to the fallback mode.

[0350] For example, based on the information related to the initial mode, operation can be performed in the initial mode. For example, based on the information related to the fallback mode and based on the fact that the initial mode is in operation, the fallback mode can be operated in the background.

[0351] For example, based on the fact that the quality of service (QoS) of the sensing data is below a threshold value, the system may switch from the initial mode to the fallback mode.

[0352] For example, the QoS of the sensing data may be at least one of the accuracy of the sensing data or the reliability of the sensing data.

[0353] For example, the sensing data may be the first sensing data. For example, based on switching to the fallback mode, the second sensing data may be acquired. For example, the size of the second sensing data may be larger than the size of the first sensing data.

[0354] For example, the information related to the initial mode may include information related to a sensor number. For example, the information related to the sensor number may be related to the mapping of the sensor type and the sensing data format.

[0355] For example, the information related to the sensor number can be transmitted to a MAC (medium access control) CE (control element) or physical layer signaling.

[0356] For example, the information related to the initial mode may include information related to the fallback storage time. For example, the information related to the fallback storage time may be related to the storage time of fallback sensing data acquired in the background.

[0357] For example, the first device may be a sensing node. For example, the second device may be a core network. For example, the sensing node may include at least one of a base station, a TRP, or a UE. For example, the core network may include a sensing function.

[0358] According to one embodiment of the present disclosure, a processing device (configured to control a second device) may be provided. For example, the processing device may include at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, the instructions may cause the second device, based on execution by the at least one processor: to transmit to the first device information related to a sensor type and information related to a sensing data format; and to receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0359] According to one embodiment of the present disclosure, a non-transient computer-readable storage medium recording instructions may be provided. For example, when the instructions are executed, the second device may: transmit to the first device information related to a sensor type and information related to a sensing data format; and receive from the first device sensing data related to the information related to the sensor type and the information related to the sensing data format.

[0360] The effects according to the present disclosure may be as follows.

[0361] - Integrated utilization of various sensing formats is possible: It accommodates the heterogeneity of sensing nodes in the ISAC system and ensures format compatibility and transition flexibility.

[0362] - Performance stabilization through QoS-based adaptive switching: Result quality can be maintained by switching to a lower-level format when analysis reliability is low.

[0363] - Improved signaling and resource efficiency: Lightweight, preset-based fallback signaling can be applied.

[0364] - Minimizing sensing data loss: Information loss can be prevented during fallback transitions through background storage.

[0365] Various embodiments of the present disclosure may be combined with one another. For example, various embodiments of the present disclosure may be combined with one another, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the various embodiments may be omitted.

[0366] The present disclosure describes a 5G wireless communication system as an example. This can be similarly applied and used in 6G wireless communication systems, etc.

[0367] The proposed method above may be applied to the device described below. First, the processor (202) of the receiving terminal may set at least one partial bandwidth (e.g., BWP; bandwidth part). Then, the processor (202) of the receiving terminal may control the transceiver (206) of the receiving terminal to receive a physical channel related to terminal-to-terminal communication (e.g., SL communication) and / or a reference signal related to terminal-to-terminal communication (e.g., SL communication) from the transmitting terminal on at least one partial bandwidth (e.g., BWP).

[0368] The following describes an apparatus to which various embodiments of the present disclosure may be applied.

[0369] Although not limited to, the various descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document may be applied to various fields requiring wireless communication / connection (e.g., 5G, 6G, etc.) between devices.

[0370] Examples are provided in more detail below with reference to the drawings. In the following drawings and descriptions, the same reference numerals may represent the same or corresponding hardware blocks, software blocks, or function blocks unless otherwise described.

[0371] FIG. 16 illustrates a communication system (1) according to one embodiment of the present disclosure. The embodiment of FIG. 16 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods and / or operations of the embodiments may be omitted.

[0372] Referring to FIG. 16, a communication system (1) to which various embodiments of the present disclosure are applied includes a wireless device, a base station, and a network. Here, the wireless device refers to a device that performs communication using wireless access technology (e.g., 5G NR (New RAT), LTE (Long Term Evolution), 6G) and may be referred to as a communication / wireless / 5G / 6G device. Although not limited thereto, the wireless device may include a robot (100a), a vehicle (100b-1, 100b-2), an XR (eXtended Reality) device (100c), a hand-held device (100d), a home appliance (100e), an IoT (Internet of Thing) device (100f), and an AI device / server (400). For example, the vehicle may include a vehicle equipped with wireless communication functions, an autonomous vehicle, a vehicle capable of performing inter-vehicle communication, etc. Here, the vehicle may include an Uncrewed Aerial Vehicle (UAV) (e.g., a drone) and / or an Aerial Vehicle (AV) (e.g., Advanced Air Mobility). The XR device 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, digital signage, a vehicle, a robot, etc. The portable device may include a smartphone, a smartpad, a wearable device (e.g., a smartwatch, smart glasses), a computer (e.g., a laptop, etc.). The home appliance may include a TV, a refrigerator, a washing machine, etc. The IoT device may include a sensor, a smart meter, etc. For example, a base station and a network may be implemented as a wireless device, and a specific wireless device (200a) may operate as a base station / network node to other wireless devices.

[0373] Here, the wireless communication technology implemented in the wireless devices (100a to 100f) of the present disclosure may include LTE, NR, and 6G, as well as NB-IoT (Narrowband Internet of Things) for low-power communication. In this case, for example, NB-IoT technology may be an example of LPWAN (Low Power Wide Area Network) technology and may be implemented according to standards such as LTE Cat NB1 and / or LTE Cat NB2, but is not limited to the names mentioned above. Additionally, or generally, the wireless communication technology implemented in the wireless devices (100a to 100f) of the present disclosure may perform communication based on LTE-M technology. In this case, for example, LTE-M technology may be an example of LPWAN technology and may be referred to by various names such as eMTC (enhanced Machine Type Communication). For example, LTE-M technology may be implemented in at least one of various standards such as 1) LTE CAT 0, 2) LTE Cat M1, 3) LTE Cat M2, 4) LTE non-BL (non-Bandwidth Limited), 5) LTE-MTC, 6) LTE Machine Type Communication, and / or 7) LTE M, and is not limited to the names mentioned above. Additionally or generally, wireless communication technology implemented in the wireless devices (100a to 100f) of the present disclosure may include at least one of ZigBee, Bluetooth, and Low Power Wide Area Network (LPWAN) for low-power communication, and is not limited to the names mentioned above. As an example, ZigBee technology can create personal area networks (PANs) related to small / low-power digital communication based on various standards such as IEEE 802.15.4, and may be referred to by various names.

[0374] Wireless devices (100a to 100f) can be connected to a network (300) through a base station (200). Artificial Intelligence (AI) technology may be applied to the wireless devices (100a to 100f), and wireless devices (100a to 100f) can be connected to an AI server (400) through the network (300). The network (300) can be configured using a 3G network, a 4G (e.g., LTE) network, a 5G (e.g., NR) network, or a 6G network. Wireless devices (100a to 100f) may communicate with each other through the base station (200) / network (300), but they may also communicate directly (e.g., sidelink communication) without going through the base station / network. For example, vehicles (100b-1, 100b-2) can communicate directly (e.g., V2V (Vehicle to Vehicle) / V2X (Vehicle to everything) communication). Also, IoT devices (e.g., sensors) can communicate directly with other IoT devices (e.g., sensors) or other wireless devices (100a to 100f).

[0375] Wireless communication / connection (150a, 150b, 150c) can be established between wireless devices (100a~100f) / base station (200) and base station (200) / base station (200). Here, wireless communication / connection can be achieved through various wireless access technologies (e.g., 5G NR, 6G, etc.), such as uplink / downlink communication (150a), sidelink communication (150b) (or D2D communication), and inter-base station communication (150c) (e.g., relay, IAB (Integrated Access Backhaul)). Through wireless communication / connection (150a, 150b, 150c), wireless devices and base stations / wireless devices, and base stations and base stations can transmit / receive wireless signals to / from each other. For example, wireless communication / connection (150a, 150b, 150c) can transmit / receive signals through various physical channels. To this end, based on the various proposals of the present disclosure, at least some of the following may be performed: 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.

[0376] FIG. 17 illustrates a wireless device according to one embodiment of the present disclosure. The embodiment of FIG. 17 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0377] Referring to FIG. 17, the first wireless device (100) and the second wireless device (200) can transmit and receive wireless signals through various wireless access technologies (e.g., LTE, NR). Here, {the first wireless device (100), the second wireless device (200)} may correspond to {wireless device (100x), base station (200)} and / or {wireless device (100x), wireless device (100x)} of FIG. 16.

[0378] The first wireless device (100) includes one or more processors (102) and one or more memories (104), and may additionally include one or more transceivers (106) and / or one or more antennas (108). The processor (102) controls the memory (104) and / or transceivers (106) and may be configured to implement the descriptions, functions, procedures, proposals, methods and / or sequences of operation disclosed in this document. For example, the processor (102) may process information within the memory (104) to generate a first information / signal and then transmit a wireless signal containing the first information / signal through the transceiver (106). Additionally, the processor (102) may receive a wireless signal containing a second information / signal through the transceiver (106) and then store information obtained from the signal processing of the second information / signal in the memory (104). The memory (104) may be connected to the processor (102) and may store various information related to the operation of the processor (102). For example, the memory (104) may store software code containing instructions for performing some or all of the processes controlled by the processor (102) or for performing the descriptions, functions, procedures, proposals, methods, and / or operation sequence diagrams disclosed in this document. Here, the processor (102) and the memory (104) may be part of a communication modem / circuit / chip designed to implement wireless communication technology (e.g., LTE, NR). The transceiver (106) may be connected to the processor (102) and may transmit and / or receive wireless signals through one or more antennas (108). The transceiver (106) may include a transmitter and / or receiver. The transceiver (106) may be combined with an RF (Radio Frequency) unit. In the present disclosure, a wireless device may refer to a communication modem / circuit / chip.

[0379] The second wireless device (200) includes one or more processors (202) and one or more memories (204), and may additionally include one or more transceivers (206) and / or one or more antennas (208). The processor (202) controls the memory (204) and / or transceivers (206) and may be configured to implement the descriptions, functions, procedures, proposals, methods and / or sequences of operation disclosed in this document. For example, the processor (202) may process information within the memory (204) to generate a third information / signal and then transmit a wireless signal containing the third information / signal through the transceiver (206). Additionally, the processor (202) may receive a wireless signal containing a fourth information / signal through the transceiver (206) and then store information obtained from the signal processing of the fourth information / signal in the memory (204). Memory (204) may be connected to the processor (202) and may store various information related to the operation of the processor (202). For example, memory (204) may store software code containing 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 flowcharts of operation disclosed in this document. Here, the processor (202) and memory (204) may be part of a communication modem / circuit / chip designed to implement wireless communication technology (e.g., LTE, NR). A transceiver (206) may be connected to the processor (202) and may transmit and / or receive wireless signals through one or more antennas (208). The transceiver (206) may include a transmitter and / or receiver. The transceiver (206) may be interchangeable with an RF unit. In this disclosure, a wireless device may refer to a communication modem / circuit / chip.

[0380] Hereinafter, hardware elements of the wireless device (100, 200) will be described in more detail. Although not limited thereto, one or more protocol layers may be implemented by one or more processors (102, 202). For example, one or more processors (102, 202) may implement one or more layers (e.g., functional layers such as PHY, MAC, RLC, PDCP, RRC, SDAP). One or more processors (102, 202) may generate one or more Protocol Data Units (PDUs) and / or Service Data Units (SDUs) according to the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document. One or more processors (102, 202) may generate messages, control information, data, or information according to the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document. One or more processors (102, 202) may generate a signal (e.g., baseband signal) containing a PDU, SDU, message, control information, data, or information according to the functions, procedures, proposals, and / or methods disclosed in this document and provide it to one or more transceivers (106, 206). One or more processors (102, 202) may receive a signal (e.g., baseband signal) from one or more transceivers (106, 206) and may obtain a PDU, SDU, message, control information, data, or information according to the descriptions, functions, procedures, proposals, methods, and / or flowcharts disclosed in this document.

[0381] One or more processors (102, 202) may be referred to as a controller, microcontroller, microprocessor, or microcomputer. One or more processors (102, 202) may be implemented by hardware, firmware, software, or a combination thereof. For example, one or more Application Specific Integrated Circuits (ASICs), one or more Digital Signal Processors (DSPs), one or more Digital Signal Processing Devices (DSPDs), one or more Programmable Logic Devices (PLDs), or one or more Field Programmable Gate Arrays (FPGAs) may be included in one or more processors (102, 202). The descriptions, functions, procedures, proposals, methods, and / or 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. Firmware or software configured to perform the descriptions, functions, procedures, proposals, methods, and / or operation sequences disclosed in this document may be contained in one or more processors (102, 202) or stored in one or more memories (104, 204) and driven by one or more processors (102, 202). The descriptions, functions, procedures, proposals, methods, and / or operation sequences disclosed in this document may be implemented using firmware or software in the form of code, instructions, and / or sets of instructions.

[0382] One or more memories (104, 204) may be connected to one or more processors (102, 202) and may store various forms of data, signals, messages, information, programs, code, instructions, and / or commands. One or more memories (104, 204) may be composed of ROM, RAM, EPROM, flash memory, hard drive, registers, cache memory, computer read storage media, and / or combinations thereof. One or more memories (104, 204) may be located inside and / or outside of one or more processors (102, 202). Additionally, one or more memories (104, 204) may be connected to one or more processors (102, 202) through various technologies such as wired or wireless connections.

[0383] One or more transceivers (106, 206) may transmit user data, control information, wireless signals / channels, etc., as mentioned in the methods and / or operation flowcharts, etc., of this document to one or more other devices. One or more transceivers (106, 206) may receive user data, control information, wireless signals / channels, etc., as mentioned in the descriptions, functions, procedures, proposals, methods and / or operation flowcharts, etc., disclosed in this document from one or more other devices. For example, one or more transceivers (106, 206) may be connected to one or more processors (102, 202) and may transmit and receive wireless signals. For example, one or more processors (102, 202) may control one or more transceivers (106, 206) to transmit user data, control information, or wireless signals to one or more other devices. Additionally, one or more processors (102, 202) may control one or more transceivers (106, 206) to receive user data, control information, or wireless signals from one or more other devices. Additionally, one or more transceivers (106, 206) may be connected to one or more antennas (108, 208), and one or more transceivers (106, 206) may be configured to transmit and receive user data, control information, wireless signals / channels, etc., as described in the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document through one or more antennas (108, 208). In this document, one or more antennas may be multiple physical antennas or multiple logical antennas (e.g., antenna ports). One or more transceivers (106, 206) can convert the received wireless signal / channel, etc. from an RF band signal to a baseband signal in order to process the received user data, control information, wireless signal / channel, etc. using one or more processors (102, 202).One or more transceivers (106, 206) can convert user data, control information, wireless signals / channels, etc. processed using one or more processors (102, 202) from baseband signals to RF band signals. To this end, one or more transceivers (106, 206) may include (analog) oscillators and / or filters.

[0384] FIG. 18 illustrates a signal processing circuit for a transmission signal according to one embodiment of the present disclosure. The embodiment of FIG. 18 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0385] Referring to FIG. 18, the signal processing circuit (1000) may include a scrambler (1010), a modulator (1020), a layer mapper (1030), a precoder (1040), a resource mapper (1050), and a signal generator (1060). Although not limited thereto, the operation / function of FIG. 18 may be performed in the processor (102, 202) and / or transceiver (106, 206) of FIG. 17. The hardware elements of FIG. 18 may be implemented in the processor (102, 202) and / or transceiver (106, 206) of FIG. 17. For example, blocks 1010 through 1060 may be implemented in the processor (102, 202) of FIG. 17. Additionally, blocks 1010 to 1050 may be implemented in the processor (102, 202) of FIG. 17, and block 1060 may be implemented in the transceiver (106, 206) of FIG. 17.

[0386] The codeword can be converted into a wireless signal through the signal processing circuit (1000) of FIG. 18. Here, the codeword is an encoded bit sequence of an information block. The information block may include a transmission block (e.g., UL-SCH transmission block, DL-SCH transmission block). The wireless signal can be transmitted through various physical channels (e.g., PUSCH, PDSCH).

[0387] Specifically, a codeword can be converted into a scrambled bit sequence by a scrambler (1010). The scrambled sequence used for scrambling is generated based on an initialization value, which may include ID information of a wireless device, etc. The scrambled bit sequence can be modulated into a modulation symbol sequence by a modulator (1020). The modulation method may include pi / 2-BPSK (pi / 2-Binary Phase Shift Keying), m-PSK (m-Phase Shift Keying), m-QAM (m-Quadrature Amplitude Modulation), etc. The complex modulation symbol sequence can be mapped to one or more transmission layers by a layer mapper (1030). The modulation symbols of each transmission layer can be mapped to the corresponding antenna port(s) by a precoder (1040) (precoding). The output z of the precoder (1040) can be obtained by multiplying the output y of the layer mapper (1030) by an N*M precoding matrix W. Here, N is the number of antenna ports and M is the number of transmission layers. Here, the precoder (1040) can perform precoding after performing transform precoding (e.g., DFT transform) on the complex modulation symbols. Additionally, the precoder (1040) can perform precoding without performing transform precoding.

[0388] A resource mapper (1050) can map the modulation symbols of each antenna port to a time-frequency resource. The time-frequency resource may include multiple symbols (e.g., CP-OFDMA symbols, DFT-s-OFDMA symbols) in the time domain and multiple subcarriers in the frequency domain. A signal generator (1060) generates a radio signal from the mapped modulation symbols, and the generated radio signal can be transmitted to another device through each antenna. To this end, the signal generator (1060) may include an Inverse Fast Fourier Transform (IFFT) module, a Cyclic Prefix (CP) inserter, a Digital-to-Analog Converter (DAC), a frequency uplink converter, etc.

[0389] The signal processing process for a received signal in a wireless device can be configured as the inverse of the signal processing process (1010–1060) of FIG. 18. For example, a wireless device (e.g., 100, 200 in FIG. 17) can receive a wireless signal from the outside through an antenna port / transceiver. The received wireless signal can be converted into a baseband signal through a signal restorer. To this end, the signal restorer may include a frequency downlink converter, an analog-to-digital converter (ADC), a CP remover, and a Fast Fourier Transform (FFT) module. Subsequently, the baseband signal can be restored into a codeword through a resource de-mapper process, a postcoding process, a demodulation process, and a de-scrambling process. The codeword can be restored into the original information block through decoding. Accordingly, a signal processing circuit (not shown) for a received signal may include a signal restorer, a resource de-mapper, a postcoder, a demodulator, a de-scrambler, and a decoder.

[0390] FIG. 19 illustrates a wireless device according to one embodiment of the present disclosure. The wireless device may be implemented in various forms depending on the use-example / service (see FIG. 16). The embodiment of FIG. 19 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0391] Referring to FIG. 19, the wireless device (100, 200) corresponds to the wireless device (100, 200) of FIG. 17 and may be composed of various elements, components, units / parts, and / or modules. For example, the wireless device (100, 200) may include a communication unit (110), a control unit (120), a memory unit (130), and additional elements (140). The communication unit may include a communication circuit (112) and transceiver(s) (114). For example, the communication circuit (112) may include one or more processors (102, 202) and / or one or more memories (104, 204) of FIG. 17. For example, the transceiver(s) (114) may include one or more transceivers (106, 206) and / or one or more antennas (108, 208) of FIG. 17. The control unit (120) is electrically connected to the communication unit (110), the memory unit (130), and additional elements (140) and controls the general operation of the wireless device. For example, the control unit (120) may control the electrical / mechanical operation of the wireless device based on a program / code / command / information stored in the memory unit (130). Additionally, the control unit (120) may transmit information stored in the memory unit (130) to an external (e.g., another communication device) via a wireless / wired interface through the communication unit (110), or store information received from an external (e.g., another communication device) via a wireless / wired interface through the communication unit (110) in the memory unit (130).

[0392] The additional element (140) can be configured in various ways depending on the type of wireless device. For example, the additional element (140) may include at least one of a power unit / battery, an input / output unit (I / O unit), a driving unit, and a computing unit. Although not limited thereto, the wireless device may be implemented in the form of a robot (Fig. 16, 100a), a vehicle (Fig. 16, 100b-1, 100b-2), an XR device (Fig. 16, 100c), a portable device (Fig. 16, 100d), a home appliance (Fig. 16, 100e), an IoT device (Fig. 16, 100f), a digital broadcasting terminal, a hologram device, a public safety device, an MTC device, a medical device, a fintech device (or financial device), a security device, a climate / environment device, an AI server / device (Fig. 16, 400), a base station (Fig. 16, 200), a network node, etc. Wireless devices can be used in a movable or fixed location depending on the use—e.g., service.

[0393] In FIG. 19, various elements, components, units / parts, and / or modules within the wireless device (100, 200) may be entirely interconnected via a wired interface, or at least partially connected via a communication unit (110). For example, within the wireless device (100, 200), the control unit (120) and the communication unit (110) may be connected via a wire, and the control unit (120) and the first unit (e.g., 130, 140) may be connected wirelessly via the communication unit (110). Additionally, each element, component, unit / part, and / or module within the wireless device (100, 200) may include one or more additional elements. For example, the control unit (120) may be composed of one or more sets of processors. For example, the control unit (120) may be composed of a set of a communication control processor, an application processor, an Electronic Control Unit (ECU), a graphics processing processor, a memory control processor, etc. As another example, the memory unit (130) may be composed of RAM (Random Access Memory), DRAM (Dynamic RAM), ROM (Read Only Memory), flash memory, volatile memory, non-volatile memory and / or a combination thereof.

[0394] Hereinafter, an example of the implementation of FIG. 19 will be described in more detail with reference to the drawings.

[0395] FIG. 20 illustrates a portable device according to one embodiment of the present disclosure. The portable device may include a smartphone, a smartpad, a wearable device (e.g., a smartwatch, smart glasses), a portable computer (e.g., a laptop, etc.). The portable device may be referred to as a Mobile Station (MS), a User Terminal (UT), a Mobile Subscriber Station (MSS), a Subscriber Station (SS), an Advanced Mobile Station (AMS), or a Wireless Terminal (WT). The embodiment of FIG. 20 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0396] Referring to FIG. 20, the portable device (100) may include an antenna unit (108), a communication unit (110), a control unit (120), a memory unit (130), a power supply unit (140a), an interface unit (140b), and an input / output unit (140c). The antenna unit (108) may be configured as part of the communication unit (110). Blocks 110 to 130 / 140a to 140c each correspond to blocks 110 to 130 / 140 of FIG. 19.

[0397] The communication unit (110) can transmit and receive signals (e.g., data, control signals, etc.) with other wireless devices and base stations. The control unit (120) can control the components of the portable device (100) to perform various operations. The control unit (120) may include an AP (Application Processor). The memory unit (130) can store data / parameters / programs / code / commands required for the operation of the portable device (100). Additionally, the memory unit (130) can store input / output data / information, etc. The power supply unit (140a) supplies power to the portable device (100) and may include wired / wireless charging circuits, batteries, etc. The interface unit (140b) can support the connection between the portable device (100) and other external devices. The interface unit (140b) may include various ports (e.g., audio input / output ports, video input / output ports) for connection with external devices. The input / output unit (140c) can receive or output video information / signals, audio information / signals, data, and / or information input by a user. The input / output unit (140c) may include a camera, a microphone, a user input unit, a display unit (140d), a speaker and / or a haptic module, etc.

[0398] For example, in the case of data communication, the input / output unit (140c) acquires information / signals (e.g., touch, text, voice, image, video) input from the user, and the acquired information / signals can be stored in the memory unit (130). The communication unit (110) converts the information / signals stored in the memory into wireless signals and can directly transmit the converted wireless signals to another wireless device or to a base station. Additionally, the communication unit (110) can receive wireless signals from another wireless device or base station and then restore the received wireless signals to their original information / signals. The restored information / signals can be stored in the memory unit (130) and then output in various forms (e.g., text, voice, image, video, haptic) through the input / output unit (140c).

Claims

1. Regarding the method, A step in which the first device receives information related to a sensor type and information related to a sensing data format from the second device; The first device acquires sensing data based on the information related to the sensor type and the information related to the sensing data format; and A method comprising the step of the first device transmitting the sensing data to the second device.

2. In Paragraph 1, The method includes the step of the first device transmitting a sensing capability exchange message to the second device; wherein In response to the above sensing capability exchange message, the above information related to the sensor type and the above information related to the sensing data format are received, and The above sensing capability exchange message includes information related to a sensor type supported by the first device and information related to a sensing data format supported by the first device, and The above-mentioned supported sensing data format is a method associated with the above-mentioned supported sensor type.

3. In Paragraph 1, A method comprising at least one of the information related to the sensor type, including information related to 3GPP (3rd generation partnership project) sensing, information related to radar, information related to lidar, or information related to a camera.

4. In Paragraph 1, A method comprising at least one of the information related to the above sensing data format, the information related to the above sensing data format, the information related to the above sensing data format, the information related to the above sensing data format, the information related to the above sensing data format, the information related to the above sensing data format, the information related to the above sensing data format, or the information related to the above sensing results.

5. In Paragraph 1, Information related to the initial mode includes the information related to the sensor type and the information related to the sensing data format, and The information related to the above sensor type is the first information related to the first sensor type, and The information related to the above sensing data format is second information related to the first sensing data format; The method further comprises the step of the first device receiving information related to a fallback mode from the second device, the information including third information related to a second sensor type and fourth information related to a second sensing data format; wherein A method in which the information related to the initial mode is set independently of the information related to the fallback mode.

6. In Paragraph 5, Based on the information related to the initial mode, the first device operates in the initial mode, and A method comprising the step of: the first device operating the fallback mode in the background based on the information related to the fallback mode, and based on the fact that the first device is operating the initial mode.

7. In Paragraph 6, A method comprising the step of the first device switching from the initial mode to the fallback mode based on the fact that the quality of service (QoS) of the sensing data is below a threshold value.

8. In Paragraph 7, A method in which the QoS of the sensing data is at least one of the accuracy of the sensing data or the reliability of the sensing data.

9. In Paragraph 7, The above sensing data is the first sensing data, and Based on switching to the above fallback mode, the first device acquires second sensing data; comprising, A method in which the size of the second sensing data is larger than the size of the first sensing data.

10. In Paragraph 5, The information related to the above initial mode includes information related to the sensor number, and A method in which the information related to the sensor number is related to the mapping of the sensor type and the sensing data format.

11. In Paragraph 10, A method in which the information related to the above sensor number is received via MAC (medium access control) CE (control element) or physical layer signaling.

12. In Paragraph 6, The above information related to the initial mode includes information related to the fallback storage time, and The above information related to the fallback storage time is related to the storage time of fallback sensing data obtained in the background, a method.

13. In Paragraph 1, The first device above is a sensing node, and The above second device is a core network, and The above sensing node includes at least one of a base station, a TRP, or a UE, and The above-described core network includes a sensing function, a method.

14. In the first device, At least one transmitter / receiver; At least one processor; and The first device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: Receiving information related to the sensor type and information related to the sensing data format from the second device; Acquiring sensing data based on the information related to the sensor type and the information related to the sensing data format; and A first device that transmits the sensing data to the second device.

15. In a processing device, At least one processor; and The first device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: Receiving information related to the sensor type and information related to the sensing data format from the second device; Acquiring sensing data based on the information related to the sensor type and the information related to the sensing data format; and A processing device that transmits the sensing data to the second device.

16. A non-transient computer-readable storage medium that records instructions, When executed, the above instructions cause the first device: Receiving information related to the sensor type and information related to the sensing data format from the second device; Acquiring sensing data based on the information related to the sensor type and the information related to the sensing data format; and A non-transient computer-readable storage medium that transmits the sensing data to the second device.

17. Regarding the method, The step of the second device transmitting to the first device information related to a sensor type and information related to a sensing data format; and A method comprising the step of the second device receiving from the first device the information related to the sensor type and the sensing data related to the information related to the sensing data format.

18. In the second device, At least one transmitter / receiver; At least one processor; and The second device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: To cause the first device to transmit information related to the sensor type and information related to the sensing data format; and A second device that receives from the first device the information related to the sensor type and the information related to the sensing data format, the sensing data.

19. In a processing device, At least one processor; and A second device comprising at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: To cause the first device to transmit information related to the sensor type and information related to the sensing data format; and A processing device that receives from the first device the information related to the sensor type and the information related to the sensing data format, the sensing data.

20. A non-transient computer-readable storage medium that records instructions, When executed, the above commands cause the second device: To cause the first device to transmit information related to the sensor type and information related to the sensing data format; and A non-transient computer-readable storage medium that receives, from the first device, information related to the sensor type and sensing data related to the information related to the sensing data format.