Method and device for performing communication in a wireless communication system.

Abstract

A method for a first device to perform wireless communication and a device to support the same are provided. [Solution] The invention may include the steps of: acquiring first sensing data from a second device; acquiring second sensing data; acquiring information related to an event based on the second sensing data; and determining whether the event is valid based on the first sensing data. For example, the first sensing data is achieved by the invention, which includes a system for managing at least one of regional information, location information, or object information.

Description

[Technical Field]

[0001] This disclosure relates to wireless communication systems. [Background technology]

[0002] 5G NR is a new clean-slate mobile communication system that succeeds LTE (Long Term Evolution) and features high performance, low latency, and high availability. 5G NR can utilize all available spectral resources, from the low-frequency band below 1 GHz to the intermediate-frequency band between 1 GHz and 10 GHz, and the high-frequency (millimeter wave) band above 24 GHz.

[0003] The goals of 6G (wireless communication) systems include (i) extremely high data rates per device, (ii) a very large number of connected devices, (iii) global connectivity, (iv) extremely low latency, (v) reduced energy consumption of battery-free IoT (Internet of Things) devices, (vi) ultra-high reliability connectivity, and (vii) connected intelligence with machine learning capabilities. The vision for 6G systems has four aspects: intelligent connectivity, deep connectivity, holographic connectivity, and ubiquitous connectivity, and 6G systems can satisfy the requirements shown in Table 1 below. For example, Table 1 can show an example of the requirements for a 6G system.

[0004] [Table 1] [Overview of the project] [Means for solving the problem]

[0005] According to one embodiment of the present disclosure, a method is provided. For example, the method may include the steps of: a first device acquiring first sensing data from a second device; the first device acquiring second sensing data; the first device acquiring information related to an event based on the second sensing data; and the first device determining whether the event is valid based on the first sensing data. For example, the first sensing data may include a system managing at least one of regional information, location information, or object information.

[0006] According to one embodiment of the present disclosure, a first device is 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 for storing instructions. For example, the first device may, based on the instructions being executed by the at least one processor,: to obtain first sensing data from a second device; to obtain second sensing data; to obtain information related to an event based on the second sensing data; and to determine whether the event is valid based on the first sensing data. For example, the first sensing data may include a system for managing at least one of regional information, location information, or object information.

[0007] According to one embodiment of the present disclosure, a processing unit (configured to control a first device) is provided. For example, the processing unit 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 to: obtain first sensing data from a second device; obtain second sensing data; obtain information related to an event based on the second sensing data; and determine whether the event is valid based on the first sensing data, based on the first sensing data. For example, the first sensing data may include a system for managing at least one of regional information, location information, or object information.

[0008] According to one embodiment of the present disclosure, a non-temporary computer-readable storage medium recording instructions is provided. For example, when executed, the instructions may cause a first device to: obtain first sensing data from a second device; obtain second sensing data; obtain information related to an event based on the second sensing data; and determine whether the event is valid based on the first sensing data. For example, the first sensing data may include a system managing at least one of regional information, location information, or object information.

[0009] According to one embodiment of the present disclosure, a method is provided. For example, the method may include the steps of: a second device transmitting first sensing data to a first device; and the second device receiving a report from the first device of information relating to an event related to the second sensing data. For example, the event is received on the basis that the event is determined to be valid. For example, the validity of the event can be determined based on the transmitted first sensing data.

[0010] According to one embodiment of the present disclosure, a second device is 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 for storing instructions. For example, the instructions may cause the second device to: transmit first sensing data to the first device on the basis that the instructions are executed by the at least one processor; and receive reports from the first device of information relating to events related to the second sensing data. For example, the events are received on the basis that it has been determined that the events are valid. For example, the validity of the events may be determined on the transmitted first sensing data.

[0011] According to one embodiment of the present disclosure, a processing apparatus is provided. For example, the processing apparatus 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 be configured to transmit first sensing data to a first device on the basis that they are executed by the at least one processor; and to receive reports from the first device of information relating to events related to the second sensing data. For example, the events are received on the basis that the events are determined to be valid. For example, the validity of the events may be determined based on the transmitted first sensing data.

[0012] According to one embodiment of the present disclosure, a non-temporary computer-readable storage medium recording instructions is provided. For example, the instructions, when executed, may cause a second device to: transmit first sensing data to a first device; and receive a report from the first device of information relating to an event associated with the second sensing data. For example, the event is received on the basis that the event is determined to be valid. For example, the validity of the event may be determined based on the transmitted first sensing data.

Brief Description of Drawings

[0013] [Figure 1] Shows an inter-device communication procedure according to an embodiment of the present disclosure. [Figure 2] Shows a radio protocol architecture according to an embodiment of the present disclosure. [Figure 3] Shows the structure of a radio frame according to an embodiment of the present disclosure. [Figure 4] Shows the slot structure of a frame according to an embodiment of the present disclosure. [Figure 5] Shows an example of a BWP according to an embodiment of the present disclosure. [Figure 6] Shows a communication structure that can be provided in a 6G system according to an embodiment of the present disclosure. [Figure 7] Shows an example of a communication scenario based on a 6G system according to an embodiment of the present disclosure. [Figures 8a-8b] Shows a non-terrestrial network scenario according to an embodiment of the present disclosure. [Figure 9] Shows an example of a sensing operation according to an embodiment of the present disclosure. [Figure 10] Shows the relationship between RCS, distance (D), and power according to an embodiment of the present disclosure. [Figure 11] Shows an example of a protocol layer used to support LPP (LTE positioning protocol) message transmission between LMF (location management function) and UE according to an embodiment of the present disclosure. [Figure 12] Shows an example of an ISAC service according to an embodiment of the present disclosure. [Figure 13] Shows various integrated sensing and communication (ISAC) systems according to an embodiment of the present disclosure. <oo00102> [Figure 14]This diagram illustrates a comparison between V2X communication based on a pre-NR RAT and V2X communication based on NR, according to one embodiment of the present disclosure. [Figure 15] The present disclosure describes a procedure by which a first device determines the validity of an event, according to one embodiment of this disclosure. [Figure 16] This disclosure describes a method by which a first device performs wireless communication according to one embodiment of this disclosure. [Figure 17] This disclosure describes a method by which a second device performs wireless communication according to one embodiment of this disclosure. [Figure 18] A communication system (1) according to one embodiment of this disclosure is shown. [Figure 19] A wireless device according to one embodiment of this disclosure is shown. [Figure 20] A signal processing circuit for a transmitted signal according to one embodiment of this disclosure is shown. [Figure 21] A wireless device according to one embodiment of this disclosure is shown. [Figure 22] A portable device according to one embodiment of this disclosure is shown. [Modes for carrying out the invention]

[0014] In this specification, "A or B" may mean "just A," "just B," or "both A and B." Furthermore, in this specification, "A or B" may be interpreted as "A and / or B." For example, in this specification, "A, B or C" may mean "just A," "just B," "just C," or "any combination of A, B and C."

[0015] In this specification, slashes ( / ) and commas can mean "and / or". For example, "A / B" can mean "A and / or B". Thus, "A / B" can mean "just A", "just B", or "both A and B". For example, "A, B, C" can mean "A, B or C".

[0016] In this specification, "at least one of A and B" can mean "just A," "just B," or "both A and B." Furthermore, in this specification, the expressions "at least one of A or B" and "at least one of A and / or B" can be interpreted in the same way as "at least one of A and B."

[0017] Furthermore, in this specification, "at least one of A, B and C" may mean "just A," "just B," "just C," or "any combination of A, B and C." Also, "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."

[0018] Furthermore, parentheses used in this specification can mean "for example." Specifically, when "control information (PDCCH)" is shown, "PDCCH" is proposed as an example of "control information." Also, "control information" in this specification is not limited to "PDCCH," and "PDCCH" is proposed as an example of "control information." Similarly, when "control information (i.e., PDCCH)" is shown, "PDCCH" is proposed as an example of "control information."

[0019] In the following explanation, "when, if, in case of" can be replaced with "based on".

[0020] In this specification, technical features described individually within a single drawing may be represented individually or simultaneously.

[0021] In this specification, higher layer parameters may be parameters that are set for a terminal, pre-configured, or predefined. For example, a base station or network may transmit higher layer parameters to a terminal. For example, higher layer parameters may be transmitted via RRC (radio resource control) signaling or MAC (medium access control) signaling.

[0022] In this disclosure, “setting or definition” can be interpreted as being set or pre-configured on the device via predefined signaling from a base station or network (e.g., SIB, MAC, RRC, DCI (downlink control information)). In this disclosure, “setting or definition” can be interpreted as being set or pre-configured on the device via predefined signaling from another device (e.g., MAC, RRC, SCI (sidelink control information), inter-device signaled control information). In this disclosure, “setting or definition” can be interpreted as being pre-configured on the device.

[0023] In this disclosure, user equipment (UE) can refer to devices, mobile devices, wireless devices, etc. In this disclosure, base station (BS) can refer to RAN (radio access network) nodes, NTN (non-terrestrial network) cells / nodes, TRP (transmission reception point), networks, IAB (integrated access and backhaul) nodes, devices, mobile devices, wireless devices, etc.

[0024] The technologies proposed herein 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 in wireless technologies such as UTRA (universal terrestrial radio access) and CDMA2000. TDMA can be implemented in 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 in 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.

[0025] The technologies proposed herein are implemented in 6G wireless technology and can be applied to various 6G systems. For example, 6G systems can 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 back haul and access network congestion, and enhanced data security.

[0026] Figure 1 shows an inter-device communication procedure according to one embodiment of the present disclosure. The embodiment of Figure 1 can 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.

[0027] Referring to Figure 1, in step S101, the first and second devices can perform synchronization. For example, the first device may be at least one of the terminals and / or devices proposed in this disclosure. For example, the second device may be at least one of the base stations, networks, RAN nodes, NTN nodes / cells, TRPs, terminals and / or devices proposed in this disclosure. For example, the first device can perform an initial cell search operation. For example, the first device can detect at least one synchronization signal transmitted by the second device according to a predefined rule. 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 application. Through this, the first device can determine the frame, subframe, time unit, slot and / or symbol boundary of the second device, and the first device can obtain information about the second device (e.g., cell identifier).

[0028] In step S103, the first device can acquire system information transmitted by the second device. For example, the system information may include information relating to the attributes, characteristics, and / or capabilities of the second device necessary to connect to the second device and use the service. For example, the system information can be classified according to its content (e.g., whether it is essential for connection) and transmission structure (e.g., the channel used, whether it is provided on-demand). For example, the system information can be classified into MIBs (master information blocks) and SIBs (system information blocks). For example, if necessary, the first device may transmit a signal requesting system information before receiving it. For example, the request and provision of system information may be performed after the random access procedure described later.

[0029] In step S105, the first and second devices can perform random access procedures. For example, the first device can transmit and / or receive at least one message for a random access procedure (e.g., a random access preamble, a 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 preambles, etc.). For example, the first device can transmit a preamble (e.g., Msg1) through the random access channel, the first device can receive a random access response message (e.g., Msg2), the first device can use scheduling information contained in the random access response message to transmit a message (e.g., Msg3) to the second device containing information related to the first device (e.g., identification information), and the first device can receive a message for contention resolution and / or connection setup (e.g., Msg4). For example, Msg1 and Msg3 are sent and received as a single message (e.g., MsgA), and / or Msg2 and Msg4 are sent and received as a single message (e.g., MsgB).

[0030] In step S107, the first and second devices can perform signaling of control information. Here, for example, control information can be defined in various layers, such as the layer that controls the connection (e.g., the RRC (radio resource control) layer), the layer that processes mapping between logical channels and transmit channels (e.g., the MAC (media access control) layer), and the layer that processes physical channels (e.g., the PHY (physical) layer). For example, the first and second devices can perform at least one of the following: signaling to establish a connection, signaling to determine settings related to communication, and / or signaling to indicate allocated resources. For example, control information is signaled / transmitted through a control channel. For example, control information and / or a control channel can be used to schedule at least one of the following: data, a data channel (e.g., a shared channel), and / or control information on a data channel.

[0031] In step S109, the first and second devices can transmit and / or receive data. For example, the first and second devices can process and transmit and / or receive data based on signaling of control information. For example, when transmitting data, the first or second device can perform at least one of the following on the information bits: channel encoding, rate matching, scrambling, constellation mapping, layer mapping, waveform modulation, antenna mapping, and / or resource mapping. For example, when receiving data, the first or second device can perform at least one of the following on the resources: signal extraction, antenna-specific waveform demodulation, signal placement considering layer mapping, constellation demapping, descrambling, and / or channel decoding.

[0032] For example, the layers of the radio interface protocol between a first device and a second device can be divided into L1 (layer 1), L2 (layer 2), L3 (layer 3), etc. For instance, the physical layer belonging to the first layer can provide an information transfer service using a physical channel, and the RRC (radio resource control) layer located in the third layer can perform the role of controlling radio resources between the first and second devices. To this end, for example, the RRC layer can exchange RRC messages between the first and second devices.

[0033] Figure 2 shows a radio protocol architecture according to one embodiment of the present disclosure. The embodiment in Figure 2 can 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. For example, Figure 2(a) may represent a user plane radio protocol stack for uplink or downlink communication, and Figure 2(b) may represent a control plane radio protocol stack for uplink or downlink communication. For example, Figure 2(c) may represent a user plane radio protocol stack for inter-device communication, and Figure 2(d) may represent a control plane radio protocol stack for inter-device communication.

[0034] For example, the physical layer can provide information transmission services to higher layers using physical channels. For example, the physical layer can be connected to the higher layer, the MAC (medium access control) layer, through a transport channel. For example, data can be transferred between the MAC layer and the physical layer through the transport channel. For example, transport channels can be classified according to the characteristics of the data transmitted through the wireless interface. For example, data is transmitted between different physical layers, for example, between the physical layers of a first device and a second device, through a physical channel. 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.

[0035] For example, the MAC layer can provide services to the higher-level RLC (radio link control) layer through logical channels. For example, the MAC layer can provide mapping functionality to multiple transmit channels across multiple logical channels. For example, the MAC layer can provide logical channel multiplexing functionality by mapping multiple logical channels to a single transmit channel. For example, the MAC sublayer can provide data transmission services on logical channels.

[0036] For example, the RLC layer can perform concatenation, segmentation, and reassembly of RLC SDUs (service data units). For example, to guarantee various quality of service (QoS) requirements from a radio bearer (RB), the RLC layer can provide two operating modes: transparent mode (TM), unacknowledged mode (UM), and acknowledged mode (AM). For example, AM RLC can provide error correction through ARQ (automatic repeat request).

[0037] For example, the RRC (radio resource control) layer can only be defined in the control plane. For example, the RRC layer may be responsible for controlling logical channels, transmit channels, and physical channels in relation to the configuration, reconfiguration, and release of radio bearers. For example, RB can mean the logical path provided by the first layer (e.g., the physical layer) and the second layer (e.g., the 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.

[0038] For example, the PDCP layer functionality in the user plane may include the transfer of user data, header compression, and encryption. For example, the PDCP layer functionality in the control plane may include the transfer of control plane data and encryption / integrity protection.

[0039] For example, configuring an RB can mean defining the characteristics of the radio protocol layer and channel in order to provide a specific service, and setting the specific parameters and operating methods for each. For example, an RB can be divided into two parts: an SRB (signaling radio bearer) and a DRB (data radio bearer). For example, an SRB can be used as a channel for transmitting RRC messages in the control plane, and a DRB can be used as a channel for transmitting user data in the user plane.

[0040] For example, if an RRC connection is established between the terminal's RRC layer and the base station's RRC layer, the terminal will be in the RRC_CONNECTED state; otherwise, it will be in the RRC_IDLE state. For example, in the case of NR, the RRC_INACTIVE state is additionally defined, and a terminal in the RRC_INACTIVE state can maintain its connection to the core network while releasing its connection to the base station.

[0041] For example, a downlink transmit channel may include at least one of the following: a BCH (broadcast channel) for transmitting system information, and / or a downlink SCH (shared channel) for transmitting other user traffic or control messages. For example, traffic or control messages for downlink multicast or broadcast services may be transmitted through a downlink SCH, or through a separate downlink MCH (multicast channel). On the other hand, an uplink transmit channel may include at least one of the following: a RACH (random access channel) for transmitting initial control messages, and / or an uplink SCH (shared channel) for transmitting other user traffic or control messages. For example, a logical channel located above a transmit channel and mapped to a transmit channel may include at least one of the following: a BCCH (broadcast control channel), a PCCH (paging control channel), a CCCH (common control channel), a MCCH (multicast control channel), and / or a MTCH (multicast traffic channel).

[0042] Figure 3 shows the structure of a wireless frame according to one embodiment of the present disclosure. The embodiment of Figure 3 can 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.

[0043] Referring to Figure 3, radio frames can be used, for example, in uplink transmission, downlink transmission, and / or inter-device transmission. For example, a radio frame has a length of 10 ms and can be defined as two 5 ms half-frames (HF). For example, a half-frame can contain five 1 ms subframes (SF). For example, a subframe can be divided into one or more slots, and the number of slots within a subframe can be determined according to the subcarrier spacing (SCS). For example, each slot can contain 12 or 14 OFDM(A) symbols depending on the cyclic prefix (CP).

[0044] For example, when normal CP is used, each slot can contain 14 symbols. For example, when extended CP is used, each slot can contain 12 symbols. Here, for example, symbols can include OFDM symbols (or CP-OFDM symbols), SC-FDMA (single carrier-FDMA) symbols (or DFT-s-OFDM (Discrete Fourier Transform-spread-OFDM) symbols).

[0045] Table 2 below shows the number of symbols per slot (N) depending on the SCS setting (u) when a 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 This illustrates the following:

[0046] [Table 2]

[0047] For example, OFDM(A) numerology (e.g., SCS, CP length, etc.) can be set to differ between multiple cells merged into a single terminal. The (absolute time) intervals of time resources (e.g., subframes, slots, or TTI (transmit time interval)) consisting of the same number of symbols can be set to differ between the merged cells. For example, in this disclosure, time resources such as subframes, slots, and TTIs can be called time units.

[0048] For example, a number of numerologies or SCSs are supported to support various services. For instance, if the SCS is 15kHz, wide area coverage in the traditional cellular band is supported; if the SCS is 30kHz / 60kHz, dense-urban coverage, lower latency, and wider carrier bandwidth are supported. For example, if the SCS is 60kHz or higher, bandwidths greater than 24.25GHz are supported to overcome phase noise.

[0049] Figure 4 shows a frame slot structure according to one embodiment of the present disclosure. The embodiment of Figure 4 can 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.

[0050] Referring to Figure 4, for example, a slot can contain multiple symbols in the time domain. For example, a carrier wave can contain multiple subcarriers in the frequency domain. For example, an RB (resource block) can be defined as multiple consecutive subcarriers in the frequency domain. For example, a BWP (bandwidth part) can be defined as multiple consecutive (P)RBs ((physical)resource blocks) in the frequency domain and can correspond to one numerology (e.g., SCS, CP length, etc.). For example, a carrier wave can contain up to (N is a positive integer) BWPs. For example, data communication can be performed via activated BWPs. For example, each element can point to a resource element (RE) in the resource grid and can be mapped to one complex symbol.

[0051] For example, a BWP can be a contiguous set of PRBs in a given numerology. For example, a PRB can be selected from a contiguous subset of CRBs (common resource blocks) for a given numerology on a given carrier.

[0052] For example, a BWP can be at least one of an active BWP, an initial BWP, and / or a default BWP. For example, a terminal may not monitor downlink radio link quality in DL BWPs other than the active DL BWP on the primary cell (PCell). For example, a terminal may not receive PDCCH (physical downlink control channel), PDSCH (physical downlink shared channel), or CSI-RS (channel state information-reference signal) (excluding RRM (radio resource management)) outside of an active DL BWP. For example, a terminal may not trigger a CSI (channel state information) report for an inactive DL BWP. For example, a terminal may not transmit PUCCH (physical uplink control channel) or PUSCH (physical uplink shared channel) outside of an active UL (uplink) BWP. For example, in the case of a downlink, the initial BWP is given to a contiguous set of resource blocks (RBs) for the RMSI (remaining minimum system information) CORESET (control resource set) (configured by the PBCH (physical broadcast channel)). For example, in the case of an uplink, the initial BWP is given by the SIB (system information block) for the random access procedure. For example, the default BWP can be configured by the upper layer. For example, the initial value of the default BWP may be the initial DL BWP.For energy saving, when the terminal fails to detect downlink control information (DCI) for a certain period, the terminal can switch the active BWP of the terminal to the default BWP.

[0053] FIG. 5 shows an example of a BWP according to an embodiment of the present disclosure. The embodiment of FIG. 5 can be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments can be omitted. In the embodiment of FIG. 5, it is assumed that there are three BWPs.

[0054] Referring to FIG. , for example, a common resource block (CRB) is a carrier resource block numbered from one end to the other end of a carrier band, and a PRB can be a resource block numbered within each BWP. For example, point A can indicate a common reference point for a resource block grid.

[0055] For example, a BWP can be set by point A, an offset (N start BWP ) from point A, and a bandwidth (N size BWP ). For example, point A can be an external reference point of a PRB of a carrier where subcarrier 0 of all numerologies (e.g., all numerologies supported by the network in the corresponding carrier) is aligned. For example, the offset can be the PRB interval between the lowest subcarrier and point A in a given numerology. For example, the bandwidth can be the number of PRBs in a given numerology.

[0056] FIG. 6 shows a communication structure that can be provided in a 6G system according to an embodiment of the present disclosure. The embodiment of FIG. 6 can be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments can be omitted.

[0057] Key implementation technologies for 6G systems include artificial intelligence (AI), THz (Tera Hertz) communication, optical wireless technology, free-space optical transmission (FSO) backhaul networks, large-scale MIMO (multiple input multiple output) technology, blockchain, 3D networks, quantum communication, unmanned aerial vehicles, cell-free communication, wireless information and energy transfer (WIET), integration of sensing and communication, integration of access backhaul networks, hologram beamforming, big data analysis, and LIS (large intelligent surface).

[0058] - Artificial Intelligence: Introducing AI into communications simplifies and improves real-time data transmission. AI can use numerous analyses to determine how complex target operations are performed. In other words, AI can increase efficiency and reduce processing delays. Time-consuming tasks such as handover, network selection, and resource scheduling can be performed instantly using AI. AI can also play an important role in M2M, machine-to-human, and human-to-machine communications. Furthermore, AI enables rapid communication in BCI (Brain-Computer Interface). AI-based communication systems are supported by metamaterials, intelligent structures, intelligent networks, intelligent devices, intelligent radio, self-sustaining wireless networks, and machine learning.

[0059] -THz communication (tera hertz communication): Data transmission rates can be increased by increasing bandwidth. This can be achieved by using sub-THz communication with a wide bandwidth and applying advanced large-scale MIMO techniques. THz waves, known as sub-millimeter radiation, typically exhibit a frequency band between 0.1 THz and 10 THz with wavelengths in the 0.03 mm-3 mm range. The 100 GHz-300 GHz band range (sub-THz band) can be considered the main part of the THz band for cellular communication. Adding the sub-THz band to the mmWave band increases 6G cellular communication capacity. Of the defined THz bands, 300 GHz-3 THz lies in the far-infrared (IR) frequency band. The 300 GHz-3 THz band is part of a broadband but lies at the broadband boundary, just behind the RF band. Therefore, this 300 GHz-3 THz band exhibits similarities to RF. The main features of THz communication include (i) a wide bandwidth available to support very high data transmission rates, and (ii) high path loss due to high frequencies (highly directional antennas are essential). The narrow beamwidth generated by highly directional antennas reduces interference. The small wavelength of THz signals allows for the integration of even more antenna elements into equipment and BS operating in this band. Through this, advanced adaptive array techniques can be used to overcome range limitations.

[0060] - Large-scale MIMO technology

[0061] - Hologram beamforming (HBF)

[0062] -Optical wireless technology

[0063] - Free-space optical backhaul network (FSO backhaul network)

[0064] -Quantum communication

[0065] - Cell-free communication

[0066] - Integration of wireless information and power transmission

[0067] - Integration of sensing and communication (wireless communication and scanning)

[0068] - Integrated access and backhaul network

[0069] - Big data analysis

[0070] - Reconfigurable intelligent surface

[0071] - Metaverse

[0072] - Blockchain

[0073] - Advanced air mobility (AAM): AAM can be a broad concept that includes urban air mobility (UAM), regional air mobility (RAM), and unmanned aerial systems (UAS). For example, AAM can include UAM, RAM, UAS, and UAVs (uncrewed aerial vehicles).

[0074] - Autonomous driving (self-driving): Vehicle-to-everything (V2X), a crucial element in building autonomous driving infrastructure, can be a technology that enables vehicles to communicate and share information with various elements on the road, such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) wireless communication, in order to enable autonomous driving.

[0075] - Non-terrestrial network (NTN): NTN can represent a network or network segment that uses RF (radio frequency) resources onboard a satellite (or UAS platform). The use of NTN services can be considered to ensure wider coverage or to provide wireless communication services in locations where the installation of wireless communication base stations is not feasible.

[0076] - 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 that environment.

[0077] - Reconfigurable Intelligent Surface (RIS): RISs can be used to manipulate and improve radio signals in wireless communication environments. For example, an RIS can consist of many small antennas or metasurfaces arranged on a surface, each of which can actively adjust the phase, amplitude, polarization, etc., of the reflected signal. For example, an RIS can improve signal reception by adjusting the path, phase, and / or intensity of the radio wave. For example, in the case of an RIS, power consumption can be very low because power is consumed only for adjusting the phase and amplitude of the small antennas. For example, because an RIS can be reconfigured to suit various environments, it can meet various communication requirements and can operate effectively in dynamic network environments.

[0078] Figure 7 shows an example of a communication scenario based on a 6G system according to one embodiment of the present disclosure. The embodiment in Figure 7 can 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.

[0079] Referring to Figure 7, NTN communications can be performed based on satellite networks, HIBS (high-altitude platform stations (HAPS) as international mobile telecommunications (IMT) base stations (BS)), and aeronautical communication terminals (e.g., AAMs). For example, to improve coverage, devices such as satellite networks, HIBS, and aeronautical communication terminals (e.g., AAMs) can perform relay roles. For example, an AAM can communicate with base stations, satellite networks, etc., and / or an AAM can communicate directly with terminals, other AAMs, etc.

[0080] For example, a terminal can use radio frequency sensing 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. Since radio frequency sensing functionality does not require connection to an object through a device in the network, it can provide object positioning services without the need for 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 positioning, 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.) enabling applications such as intruder detection, auxiliary vehicle operation and navigation, trajectory tracking, collision avoidance, traffic management, and health and traffic management. In some cases, radio sensing can use non-3GPP type sensors (e.g., radar, cameras) to additionally support 3GPP®-based sensing. For example, the operation of a radio sensing service, such as sensing operation, can depend on the transmission, reflection, and scattering processing of radio sensing signals. Therefore, wireless sensing can provide an opportunity to enhance existing communication systems with wireless and sensing networks within communication networks.

[0081] Figures 8a and 8b illustrate a non-terrestrial network scenario according to one embodiment of the present disclosure. The embodiments of Figures 8a and 8b can 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.

[0082] Figure 8a shows a non-terrestrial network scenario based on a transparent payload, and Figure 8b shows a non-terrestrial network scenario based on a regenerative payload. For example, a non-terrestrial network can typically include the following elements:

[0083] - One or more satellite gateways connecting a non-terrestrial network to a public data network.

[0084] - A feeder link or wireless link between the satellite gateway and the satellite (or UAS platform).

[0085] - Service link or wireless link between user equipment and satellite (or UAS platform)

[0086] - A satellite (or UAS platform) capable of implementing transparent or regenerative (including onboard processing) payloads. For example, a satellite (or UAS platform) can generate multiple beams over a given service area bounded by a normal field of view. For example, the beam footprint may typically be elliptical. For example, the field of view of a satellite (or UAS platform) may vary depending on the onboard antenna diagram and minimum altitude angle. For example, radio frequency filtering, frequency conversion, and amplification can be performed on a transparent payload. Thus, repeated waveform signals in the payload may not be altered. For example, radio frequency filtering, frequency conversion, and amplification and demodulation / decoding, switching and / or routing, coding / modulation can be performed on a regenerative payload. This can effectively be equivalent to equipping the satellite (or UAS platform) with all base station functions.

[0087] - Selectively, intersatellite links (ISL)

[0088] - User equipment can be serviced by satellite (or UAS platform) within the target service area.

[0089] Figure 9 shows an example of sensing operation according to one embodiment of the present disclosure. The embodiment in Figure 9 can 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, Figure 9(a) shows an example of sensing using a sensing receiver and sensing transmitter located in the same position (e.g., monostatic sensing), and Figure 9(b) shows an example of sensing using a sensing receiver and sensing transmitter separated (e.g., bistatic sensing).

[0090] Referring to Figure 9, a sensing transmitter can 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 can receive a sensing signal that has been scattered / reflected by one or more objects (and / or the environment surrounding the objects) from the sensing transmitter. For example, the sensing receiver can derive sensing data from the scattered / reflected signal and generate / obtain sensing results through processing of the sensing data. Here, for example, the sensing results may include characteristic information (e.g., position, distance, velocity, angle, etc.) for one or more objects (and / or the environment surrounding the objects). For example, the sensing results thus generated / obtained can be used in radio sensing services (e.g., detection, tracking of objects and / or environments, etc.) or provided / published to a trusted third party.

[0091] For example, a sensing transmitter is a base station or terminal that transmits sensing signals used for a sensing service to operate, and the sensing transmitter can be located at the same base station or terminal as the sensing receiver. For example, a sensing receiver is a base station or terminal that receives sensing signals used for a sensing service to operate, and the sensing receiver can be located at the same base station or terminal as the sensing transmitter. For example, a sensing target may be a target whose features in the environment need to be derived from the sensing signal and detected. For example, a background environment may be the background that is not the sensing target (e.g., clutter, environmental objects, etc.). For example, an environment object may be an object whose location is known outside the sensing target. For example, monostatic sensing may be sensing where the sensing transmitter and sensing receiver coexist at the same base station or terminal. For example, bistatic sensing may be sensing where the sensing transmitter and sensing receiver are at different base stations or terminals. For example, multi-static sensing may be a sensing method in which there are multiple sensing transmitters and / or multiple sensing receivers for a (single) sensing target. For example, sensing can be classified into monostatic sensing, bistatic sensing, and / or multistatic sensing based on the angle between the sensing transmitter, sensing target, and sensing receiver. For example, if the angle between the sensing transmitter, sensing target, and sensing receiver is less than or equal to a threshold, it can be defined as monostatic sensing or semi-monostatic sensing. For example, if the angle between the sensing transmitter, sensing target, and sensing receiver is greater than or equal to a threshold, it can be defined as bistatic sensing or multistatic sensing.For example, a terminal can transmit sensing signals over a wireless interface that can be used for sensing purposes. For example, a terminal can transmit sensing signals over a 3GPP wireless interface that can be used for sensing purposes.

[0092] For example, the common framework of the ISAC channel model can consist of components of the target channel and components of the background channel. For example, this can be derived based on Equation 1.

[0093]

number

[0094] Here, for example, target channel H target This can include all [multipath] components affected by the sensing target. For example, background channel H Background This can include other [multipath] components that do not belong to the target channel.

[0095] For example, RCS (radar cross-section) can measure how well a radar sensor can detect a target. Therefore, this can often be called the electronic properties 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 is transmitted toward a target, and the target can reflect some of the power back to the receiver. For example, the received power may be based on the target's RCS, among other factors. For example, the received power may be proportional to the RCS. For example, the target's RCS may be based on at least one of the following: 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.

[0096] Figure 10 shows the relationship between RCS, distance (D), and power according to one embodiment of the present disclosure. The embodiment of Figure 10 can 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.

[0097] Referring to Figure 10, the RCS of a radar target can be the virtual area required to intercept the power density transmitted by the target. For example, the relevant radar equation can be defined as shown in Equation 2.

[0098]

number

[0099] Here, for example, PTX is the transmitter power [W], and G TXD is the gain of the transmitting antenna [dimensionless], D is the distance between the EUT (equipment under test) and the target [m], and RCS is the radar cross-section [m] 2 ] and P RX A is the power [W] that EUT receives again from the object, and A eff The effective area of ​​the receiving antenna [m²] 2 ] is possible. For example, A eff This can be obtained based on equation 3.

[0100]

number

[0101] Here, for example, G RX λ is the gain of the receiving antenna [dimensionless], λ is the wavelength of the radio signal [m], λ = c / f, where c is the speed of light 299792458 [m / s], and f is the frequency [Hz].

[0102] For example, when the transmitter and receiver are located together and the same antenna is used for both transmission and reception (G TX =G RX =G), the related radar formula can be defined as shown in formula 4.

[0103]

number

[0104] Here, for example, P TX θ is the transmitter power [W], G is the gain of the transmitting antenna [dimensionless], D is the distance between the EUT (equipment under test) and the target [m], and RCS is the radar cross-section [m] 2 ] and P RX This could be the power [W] that the EUT receives again from the object.

[0105] Figure 11 shows an example of a protocol layer used to support LPP (LTE positioning protocol) message transmission between an LMF (location management function) and a UE, according to one embodiment of the present disclosure. The embodiment in Figure 11 can 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.

[0106] LPP PDUs are transmitted through NAS (non-access stratum) PDUs between the AMF (access and mobility management function) and the UE. Referring to Figure 11, 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) via the NG-C (NG-control plane) interface, and NAS / RRC via the LTE-Uu and NR-Uu interfaces. The LPP protocol enables positioning for NR and LTE using various positioning methods.

[0107] For example, a target device and a location server can exchange capability information, auxiliary data for positioning, and / or location information with each other via the LPP protocol. For example, error information can be exchanged and / or instructions to interrupt the LPP procedure can be given via LPP messages.

[0108] In this disclosure, the following terms may be used:

[0109] -ISAC: Integrated Sensing and Communication

[0110] - OFDM: Orthogonal frequency division multiplexing

[0111] -V2X: Vehicular-to-everything communication

[0112] -FFT: Fast Fourier Transform

[0113] -CS: Compressed sensing

[0114] -MUSIC: multiple signal classification

[0115] -EVD: Eigenvalue decomposition

[0116] -DoA: direction of angle

[0117] -URA: Uniform rectangular array

[0118] -SCS: Subcarrier spacing

[0119] -CP: cyclic prefix

[0120] -FDCS: Frequency-domain comb-type smoothing

[0121] -TDCS: Time-domain comb-type smoothing

[0122] -PVR: Peak-to-valley ratio

[0123] -RRC: Radio Resource Control

[0124] -PDSCH: Physical Downlink Shared Channel

[0125] -PUSCH: Physical uplink shared channel

[0126] -PDCCH: Physical Downlink Control Channel

[0127] -PUCCH: Physical uplink control channel

[0128] -DMRS: Demodulation Reference Signal

[0129] -CSI-RS: Channel State Information Reference Signal

[0130] -SRS: Sounding Reference Signal

[0131] -PRS: positioning reference signal

[0132] -IAB: Integrated Access and Backhaul

[0133] -DAPS: Dual Active Protocol Stack

[0134] -DL: Downlink

[0135] -UL: Uplink

[0136] -BS:Base station

[0137] -UE: User equipment

[0138] -PHR: Power Headroom Report

[0139] -LMF: Location Management Function

[0140] -UE-triggered SL positioning: The procedure is UE-triggered SL (sidelink) positioning.

[0141] - SL positioning triggered by base station / LMF: Procedure for SL positioning triggered by base station / LMF

[0142] -UE-controlled SL positioning: SL positioning where the SL positioning group is generated by the UE.

[0143] - SL positioning controlled by base stations: SL positioning groups are generated by base stations.

[0144] -UE-based SL positioning: SL positioning where the UE position is calculated by the UE.

[0145] -UE-assisted SL positioning: SL positioning where the UE position is calculated by the base station / LMF.

[0146] -SL positioning group: UE participating in SL positioning

[0147] -T-UE (Target UE): The UE whose position is calculated.

[0148] -S-UE (Server UE): A UE that supports the positioning of the T-UE (Terminal UE).

[0149] - Anchor UE: A UE that assists the positioning of the T-UE.

[0150] -MG: Measurement gap where only SL PRS transmission is allowed.

[0151] -MW: Measurement window where both SL data and SL PRS can be transmitted in a multiplexed manner.

[0152] -SL PRS: Sidelink positioning reference signal

[0153] -CCH: Control channel

[0154] -IUC (Inter-UE coordination) message: A message received by a TX UE from another UE, including an RX UE, that contains information about preferred resources and / or non-preferred resources that the TX UE is suitable to send to the RX UE.

[0155] -UE-based: The method by which the UE calculates its own position is described as "UE-based".

[0156] -TP (Transmission point): A collection of transmitting antennas (e.g., antenna arrays with one or more antenna elements) geographically located at the same location for a cell, a part of a cell, or a DL PRS-only TP. A transmitting point can include base station (ng-eNB or gNB) antennas, remote radio heads, base station remote antennas, DL PRS-only TP antennas, etc. A cell can contain one or more transmitting points. In a similar arrangement, each transmitting point can correspond to one cell.

[0157] -RP (Reception point): A collection of receiving antennas (e.g., antenna arrays (with one or more antenna elements)) geographically located at the same location as a cell, a part of a cell, or a UL SRS (sounding reference signal)-only RP. Receiving points can include base station (ng-eNB or gNB) antennas, remote radio heads, base station remote antennas, UL SRS-only RP antennas, etc. A cell can contain one or more receiving points. In a similar arrangement, each receiving point can correspond to one cell.

[0158] -PRS-only TP: PRS-based TBS (terrestrial beacon system) - A TP that transmits only PRS signals for positioning and is not connected to a cell.

[0159] -TRP (transmission-reception point): A collection of antennas (e.g., antenna arrays (with one or more antenna elements)) located at the same geographical location that support TP and / or RP functions.

[0160] -SRS-only RP:UL-only RP that receives only SRS signals for positioning and is not associated with a cell.

[0161] In this disclosure, TRP and base station can be used interchangeably to represent the same entity.

[0162] For example, an SL PRS transmission resource can consist of an SL PRS resource set comprised of the following information:

[0163] -SL PRS resource set ID

[0164] -SL PRS Resource ID List: SL PRS Resource ID List within the SL PRS Resource Set

[0165] -SL PRS resource type: Can be set to periodic, aperiodic, semi-persistent, or on-demand.

[0166] - SL PRS power control alpha

[0167] -SL PRS power control

[0168] - 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, or SL CSI RS, etc.

[0169] For example, the SL PRS resource set can consist of SL PRS resources composed of the following information:

[0170] -SL PRS Resource ID

[0171] -SL PRS comb size: The interval between REs during which SL PRS is sent within a symbol.

[0172] -SL PRS comb offset: RE index in which the first SL PRS is sent within the first SL PRS symbol.

[0173] -SL PRS comb cyclic shift: A cyclic shift used to generate the sequence that makes up SL PRS.

[0174] -SL PRS start position: The first symbol index to send an SL PRS within a single slot.

[0175] - Number of SL PRS symbols: The number of symbols that make up an SL PRS in one slot.

[0176] - Frequency domain shift: The lowest frequency position (index) in the frequency domain where SL PRS is transmitted.

[0177] -SL PRS BW: Frequency bandwidth used for SL PRS transmission.

[0178] -SL PRS resource type: Can be set to periodic, aperiodic, semi-persistent, or on-demand.

[0179] -SL PRS periodicity: The period in the time domain between SL PRS resources, or the unit of a logical slot in the resource pool to which SL PRS is transmitted.

[0180] -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 in the resource pool to which the SL PRS is transmitted. The reference timing may be SFN=0 or DFN=0 or the successful reception or decoding of the RRC / MAC-CE / DCI / SCI associated with the SL PRS resource.

[0181] -SL PRS Sequence ID

[0182] -SL PRS spatial relation: Can be set to SL SSB, DL PRS, UL SRS, UL SRS for positioning, PSCCH DMRS, PSSCH DMRS, PSFCH, or SL CSI RS, etc.

[0183] -SL PRS CCH: SL PRS control channel. Capable of signaling SL PRS resource configuration information and resource locations.

[0184] Previously, NR positioning up to release 17 could only support network-based Uu positioning, where the location was looked up between the target UE and the network (gNB / LMF). However, from NR release 18 onwards, sidelink positioning (SL positioning) using sidelink communication can be supported. In sidelink positioning, positioning reference signals can be sent and received through a direct connection with an anchor UE near the target UE, rather than a base station, and this represents a new method for performing positioning operations. Positioning operations at the physical layer can be performed by transmitting and measuring the SL PRS (sidelink positioning reference signal) between the target UE and the anchor UE.

[0185] Uu positioning can use the LPP protocol. An LPP session can be a point-to-point communication protocol between the target UE and the LMF. Through the LPP protocol, the target UE provides the LMF with the information necessary for positioning. The LMF can configure the target UE and the base station (gNB) via the LPP and NRPPa protocols, send and receive positioning-related messages, and perform positioning operations. On the other hand, in Release 18 sidelink positioning, the target UE, server UE (or LMF), and anchor UE can send and receive sidelink positioning protocol messages to perform positioning operations. Sidelink positioning can use the sidelink positioning protocol (SLPP) for configuring and sending and receiving messages between UEs.

[0186] Positioning methods (e.g., sidelink positioning) have the problem that the target object must have a communication terminal, and that signaling messages for position measurement must be sent and received between the transmitting end and the target object. Therefore, the overhead for signal processing between the target object and the transmitting end increases, and there is a fundamental limitation that positioning itself is impossible if the target object does not have a separate communication terminal.

[0187] On the other hand, the ISAC (Integrated Sensing and Communication) method can accurately detect the presence and movement of a target object regardless of whether or not the target object possesses a communication terminal, and can also stably acquire detailed sensing information such as the distance, velocity, and angle of the target object. The ISAC method does not require a separate response signal or message from the target object; it can estimate the characteristics of the target object simply by analyzing the information reflected by the signal emitted from the transmitting end to the target object. Compared to positioning methods, ISAC significantly reduces the amount of signaling required, resulting in very low overhead, and has the advantage of simultaneously supporting more efficient and flexible sensing and communication operations.

[0188] In the following explanation, various names are illustrative and can be considered to perform the same / similar function (regardless of their name) based on what is described in each step.

[0189] Figure 12 shows an example of an ISAC service according to one embodiment of the present disclosure. The embodiment in Figure 12 can 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.

[0190] Referring to Figure 12, examples of various application areas to which ISAC can be applied are shown. Specifically, ISAC can support predictive maintenance and employee localization and authorization in the smart manufacturing and industrial IoT fields, and can provide weather prediction, pollution monitoring, rain monitoring, and insect monitoring in the environmental monitoring field.

[0191] Furthermore, in the field of Sensing as a Service, it can be used for drone monitoring and management, mobile crowd sensing, channel knowledge map construction, and cooperative localization and imaging.

[0192] Furthermore, in the field of remote sensing, it can support satellite imaging and broadcasting, and droneswarm SAR imaging. In the field of smart home, it can be used for human proximity detection, spatial-aware control, sensing-aided wireless charging, fall detection, and vital signal monitoring.

[0193] Furthermore, in the field of human-computer interaction (HCI), it enables gesture recognition, key stroke recognition, and arm / head activity recognition. In the field of vehicle-to-everything (V2X), it enables the provision of various services such as high-precision location measurement, vehicle platooning, extended sensor, simultaneous localization and mapping, and secure hands-free access.

[0194] Recently, integrated sensing and communication (ISAC) technology, which fuses target object sensing and user communication functions in 6th generation (6G) mobile communication systems, has attracted attention as an important standardization target. Based on its advantages such as efficient frequency use, reuse of existing communication infrastructure, and reduced production costs for 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 Figure 12.

[0195] Figure 13 shows various integrated sensing and communication (ISAC) systems according to one embodiment of the present disclosure. Specifically, Figure 13(a) shows an example of a network-based monostatic ISAC system, Figure 13(b) shows an example of a network-based bistatic ISAC system, and Figure 13(c) can represent an example of a network-UE-based bistatic ISAC system (1) and a network-coordinated UE bistatic ISAC system (1)+(2). Furthermore, Figure 13(d) shows an example of a UE-based monostatic ISAC system, Figure 13(e) shows an example of a UE-network bistatic ISAC system, and Figure 13(f) shows an example of a UE-based bistatic ISAC system. The embodiments in Figure 13 can be combined with various embodiments of this disclosure, and some descriptions, functions, procedures, suggestions, methods and / or operations of the embodiments may be omitted.

[0196] Referring to Figure 13, various ISAC systems can be considered in order to include various ISAC service embodiments in this disclosure. For example, in embodiments of this disclosure, a base station can be represented as a BS. For example, in embodiments of this disclosure, a terminal can be represented as an UE. For example, a transmitting end can transmit signals for sensing, and a receiving end can perform sensing based on signals reflected from objects. Figure 13(a) can represent a network-based monostatic ISAC system. In this system, a BS can transmit ISAC signals to various target objects and then receive the reflected signals to estimate the distance and velocity of the target objects. Here, the target objects may be UEs. Figure 13(b) can represent a network-based bistatic ISAC system. In this system, two BSs can cooperate to estimate the same various target object distances and velocities. BS1 may be the transmitting end and BS2 may be the receiving end. BS2 can receive signals that have been reflected by the target objects from the ISAC signals transmitted by BS1. Subsequently, BS2 can estimate the distance and velocity of the target objects. Unlike monostatic systems, bistatic ISAC systems may lack information about the transmitted signal. Therefore, in bistatic ISAC systems, the target object radar information matrix is ​​obtained through pilot signals that the transmitting and receiving ends already know. Figure 13(c) may represent a network-UE-based bistatic ISAC system. In this system, the BS can transmit ISAC signals. The BS can use beamforming techniques to direct most of the reflected signal towards the UE, or part of it back to the BS. In the former case, the UE can receive most of the signal transmitted by the BS and perform target object distance and velocity estimation.While the UE can quickly obtain information about the target object it needs, the UE may perform all processes, potentially leading to a high level of computational complexity. On the other hand, in the latter case, the BS can first estimate the target object distance and velocity, similar to a monostatic ISAC system, and then inform the UE of the appropriate target object estimation technique based on the estimation results. Through this, the UE can immediately perform target object estimation using the technique indicated by the BS, potentially resulting in lower complexity.

[0197] Figure 13(d) may represent a terminal-based (UE-based) monostatic ISAC system. In this system, the distance and velocity of the target object can be directly estimated at the UE. Figure 13(e) may represent a terminal-network (UE-network) bistatic ISAC system. The BS can estimate various target object distances and velocities by receiving signals reflected from the target object after the ISAC signal transmitted by the UE has been transmitted. Figure 13(f) may represent a terminal-based (UE-based) bistatic ISAC system. In this system, the distance and velocity of the target object can be estimated bistatically between different UEs.

[0198] Wireless communication systems are multiple access systems that support communication with multiple users by sharing available system resources (e.g., bandwidth, transmission power, etc.). Examples of multiple access systems include CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), SC-FDMA (single carrier frequency division multiple access), and MC-FDMA (multicarrier frequency division multiple access).

[0199] Sidelink (SL) refers to a communication method that establishes a direct link between user equipment (UE) devices, allowing for direct transmission and reception of voice or data without going through a base station (BS). SL is being considered as one way to alleviate the burden on base stations caused by rapidly increasing data traffic.

[0200] V2X (vehicle-to-everything) refers to communication technology that exchanges information with other vehicles, pedestrians, and infrastructure through wired or wireless communication. V2X can be divided into four types: V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure), V2N (vehicle-to-network), and V2P (vehicle-to-pedestrian). V2X communication is provided through the PC5 interface and / or Uu interface.

[0201] On the other hand, as more and more communication devices demand greater communication capacity, the need for improved mobile broadband communication compared to existing radio access technologies (RATs) is emerging. Accordingly, communication systems that take into account reliability and latency-sensitive services or terminals are being discussed, and next-generation radio connectivity technologies that take into account improved mobile broadband communication, large-scale MTC (Machine Type Communication), and URLLC (Ultra-Reliable and Low Latency Communication) can be called new RATs (new radio access technology) or NRs (new radio). NRs also support V2X (vehicle-to-everything) communication.

[0202] Figure 14 is a diagram illustrating a comparison between pre-NR RAT-based V2X communication and NR-based V2X communication according to one embodiment of the present disclosure. The embodiment in Figure 14 can 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.

[0203] In relation to V2X communication, pre-NR RAT discussions primarily focused on methods for providing safe services based on V2X messages such as BSM (Basic Safety Message), CAM (Cooperative Awareness Message), and DENM (Decentralized Environmental Notification Message). V2X messages can include location information, dynamic information, attribute information, etc. For example, a terminal can send a CAM of the periodic message type and / or a DENM of the event-triggered message type to another terminal.

[0204] For example, a CAM can include dynamic vehicle status information such as direction and speed, static vehicle data such as dimensions, and basic vehicle information such as external lighting status and route history. For example, a terminal can broadcast a CAM, and the latency of a CAM may be less than 100ms. For example, in the event of an unexpected situation such as a vehicle breakdown or accident, a terminal can generate and transmit a DENM to other terminals. For example, all vehicles within the transmission range of a terminal can receive both a CAM and / or a DENM. In this case, the DENM may have a higher priority than the CAM.

[0205] Since then, various V2X scenarios have been presented in NR in relation to V2X communication. For example, various V2X scenarios can include vehicle platooning, advanced driving, extended sensors, and remote driving.

[0206] For example, based on vehicle platooning, vehicles can dynamically form groups and move together. For example, in order to perform platoon operations based on vehicle platooning, vehicles belonging to the group can receive periodic data from the lead vehicle. For example, vehicles belonging to the group can use the periodic data to shorten or widen the distance between vehicles.

[0207] For example, based on improved driving, vehicles can be semi-automated or fully automated. For example, each vehicle can adjust its trajectories or maneuvers based on data acquired from local sensors of nearby vehicles and / or nearby logical entities. Also, for example, each vehicle can share driving intentions with nearby vehicles.

[0208] For example, based on the extended sensors, raw data, processed data, or live video data acquired through local sensors can be exchanged between vehicle, logical entity, pedestrian terminals, and / or V2X application servers. Therefore, for example, a vehicle can perceive an environment that is more advanced than what it can detect using its own sensors.

[0209] For example, based on remote driving, a remote driver or V2X application can operate or control a remote vehicle for a person who is unable to drive or for a remote vehicle located in a dangerous environment. For example, cloud computing-based driving can be used to operate or control the remote vehicle when the route can be predicted, such as in public transport. Alternatively, access to a cloud-based back-end service platform can be considered for remote driving.

[0210] Meanwhile, methods for specifying service requirements for various V2X scenarios, such as vehicle platooning, improved driving, enhanced sensors, and remote driving, are being discussed in NR-based V2X communication.

[0211] This disclosure relates to a method for collaboratively recognizing a specific target (e.g., a vehicle) in situations where it is necessary to sense the target and transmit sensing information within a specific time interval or at intervals with a specific time difference.

[0212] As an example of a target requiring sensing, when a specific target vehicle is sensed through surrounding vehicles, sensors, or other equipment, and the sensed information is used collectively, if the relevant information is separated by a large time interval, it may become less relevant to a specific event and therefore meaningless. For example, if a vehicle involved in an accident senses and reports information about the area around the accident site, if it transmits information that is completely unrelated to the time of the accident (e.g., more than one hour after the accident), that information may be completely irrelevant to the relevant accident event.

[0213] Alternatively, as another example, when reporting an illegally parked vehicle, it is necessary to sense the target vehicle and transmit the sensing information after a minimum time interval (e.g., more than 5 minutes). However, sensing and reporting the same illegal parking event using the same vehicle / sensor may result in wasted time. That being said, if the target vehicle is reported every time an unspecified number of vehicles see it, it will be impossible to match the minimum time interval, and information reported at too short an interval will simply be redundant and meaningless.

[0214] Therefore, to prevent the aforementioned situations, a method is needed that allows surrounding vehicles, sensors, and devices related to specific event types and characteristics to transmit meaningful sensing results.

[0215] When sensing a specific target vehicle through surrounding vehicles, sensors, or other equipment and using the sensed information collectively, if the relevant information is spaced far apart, its relevance to a specific event may be low and meaningless. Conversely, if the time intervals are too close, the information may be redundant. Therefore, a method is needed that allows surrounding vehicles, sensors, and devices related to the type and characteristics of a specific event to transmit meaningful sensing results.

[0216] This disclosure aims to solve the "time mismatch" and "excessive redundancy" problems that arise when multiple vehicles / sensors / terminals detect the same event at different times and locations. Traditionally, if the sensing interval was too long, the relevance to the event would weaken, and conversely, if the interval was too short, the same information would be transmitted repeatedly, wasting wireless resources. In particular, for services that require "securing evidence at least twice with a minimum 5-minute interval," such as illegal parking / accident reporting, it was difficult for a single vehicle to capture all the events twice, or if many vehicles indiscriminately captured the events, the server had to process unnecessary data.

[0217] Furthermore, in order to determine the "validity" of sensing data, cross-validation against (i) previous report count / timestamp, (ii) event validity period / expiration time, and (iii) regional / object / location data (e.g., HD map) is essential. However, terminals that cannot use real-time HD maps cannot grasp event / regional information in advance, and conversely, even terminals that use HD maps find it difficult to guarantee that the information is always up-to-date if the update cycle is long. Thus, a systematic method is required that allows for on-site decisions on whether or not to "transmit" data depending on the system environment and event characteristics. In situations where sensing cannot be perfectly performed with just one sensor, it may be advantageous to sense and transmit data from many sensors in a variety of ways and quickly. Moreover, if sensing data for a previous event is already requested, it may be necessary to search for and transmit the stored sensing data.

[0218] Of course, depending on the type of event, information with similar content sensed at the same time in a similar environment may simply be a duplication of already acquired information and therefore meaningless. Thus, immediately transmitting the sensed information as described above is not always advantageous.

[0219] Therefore, it is possible to decide whether or not to transmit the sensing results depending on the type and requirements of the event. Depending on the characteristics of the sensing window, the event can also be selected and requested to include only data sensed within a certain interval based on the time the event occurred, or it can be selected and requested to include only data sensed after a certain interval based on the time the event occurred.

[0220] 1. Event Sensing

[0221] For example, when reporting an illegally parked vehicle, it may be necessary to input two or more photographs taken at intervals of at least a minimum specified time (e.g., 5 minutes or more) into the reporting system to prove that the target vehicle is parked there for the purpose of parking. For example, if the same vehicle / sensor were to sense and report the illegal parking event for the purpose of reporting, unnecessary time might be wasted, so the method of taking two photographs at intervals of 5 minutes or more as described above would be used as an alternative, although it is possible to assume a situation where a vehicle / sensor that detects such an event takes at least one photograph.

[0222] For example, the aforementioned photograph could be taken by a vehicle driver recognizing such an event, as in existing methods, and passively taking a photograph and uploading it to the system (only one photograph, not two). Alternatively, if such an event situation can be automatically recognized, such passive work may not be necessary. For example, in a situation where HD map and zone information (e.g., restricted area), lane information, etc., are input and linked to a V2X system, if a vehicle / object is found in a specific area or in the outermost lane where a no-stop line is displayed, the vehicle / object can be considered a potential offender.

[0223] For example, as mentioned above, the passive or automatic detection of a violating vehicle may trigger an action that identifies the relevant violating vehicle and transmits the acquired information.

[0224] 1.1. Manual Sensing

[0225] [Event identification by the driver / device user with the naked eye]

[0226] For example, if equipment or functions for detecting events are omitted, the driver or user of the device can visually identify and passively report event information. For example, the driver or user of the device can directly determine the presence or absence of an event, connect to a communication-related device such as V2X, execute a specific application, and perform event reporting.

[0227] For example, when performing reporting in the relevant application, it is possible to immediately capture or record the currently observed scene and send it, or to search for and send previous image video materials. For example, in this process, information such as event type, event occurrence time, and event target object can be partially or entirely entered passively or partially or entirely automatically.

[0228] 1.2. Automated sensing

[0229] [Automatic event detection using sensors and V2X communication devices, etc.]

[0230] For example, if equipment or functions for detecting events are installed in the device or vehicle (e.g., the first vehicle), events that meet specific conditions (e.g., detecting the presence of a specific object (e.g., a car) in a no-parking zone) can be automatically detected.

[0231] For example, the map information included in the V2X device of the first vehicle may include HD map information that has information about a specific area, and if the area entered by the first vehicle is a no-parking area designated on the HD map (e.g., the first area), the sensors of the first vehicle can check for the presence of surrounding vehicles / objects and determine whether a specific vehicle / object (e.g., the second vehicle) exists in the first area and whether a specific event condition is met.

[0232] For example, when the HD map and sensors are activated and the associated GNSS device is also operating, the system can connect to a communication-related device such as V2X and execute a specific application to perform event reporting. For example, the application can immediately capture or record the currently observed scene and send it when reporting is performed, or it can search for and send previous image video materials. For example, in this process, information such as the event type, event occurrence time, and event target object can be entered partially or entirely passively or partially or entirely automatically.

[0233] In the following and / or this disclosure, all systems that can manage geographical / location information, object information, landmark information, etc., in a related manner, including HD maps (map), may be referred to as HD maps (map).

[0234] For example, in this disclosure, the HD map may include at least one of the following:

[0235] For example, in this disclosure, the HD map may include a static geometry layer. For example, the static geometry layer (e.g., the HD map associated with the static geometry layer) may include at least one of the following: information related to lane centerlines, information related to lane boundaries (e.g., polylines), information related to curbs / shoulders, information related to precise curvature, or information related to slope.

[0236] For example, in this disclosure, the HD map may include a digital traffic infrastructure layer. For example, the digital traffic infrastructure layer (e.g., an HD map related to the digital traffic infrastructure layer) may include at least one of the following: traffic signal IDs, sign-related information, variable message sign (VMS)-related information, or smart crosswalk-related information.

[0237] For example, in this disclosure, the HD map may include a restricted area layer. For example, the restricted area layer (e.g., an HD map associated with the restricted area layer) may include at least one of the following: information related to bus / freight lanes, information related to no-stop zones, or information related to areas with restrictions on the transport of dangerous goods.

[0238] For example, in this disclosure, the HD map may include a dynamic events / crowdsourcing layer. For example, the dynamic events / crowdsourcing layer (e.g., the HD map associated with the dynamic events / crowdsourcing layer) may include at least one of the following: information related to construction, information related to accidents, information related to variable speed, or information related to road surface ice and snow.

[0239] For example, in this disclosure, the HD map may include an environmental sensor fusion layer. For example, the environmental sensor fusion layer (e.g., the HD map associated with the environmental sensor fusion layer) may include at least one of the following: information related to LiDAR intensity voxels, information related to mmWave radar reflectivity, or information related to a camera scene graph.

[0240] For example, in this disclosure, the HD map may include a road-IoT metadata layer. For example, the road-IoT metadata layer (e.g., the HD map associated with the road-IoT metadata layer) may include at least one of the following: information related to RSUs, information related to C-V2X RS RP hit maps, or information related to 5G coverage.

[0241] For example, in this disclosure, the HD map may include multi-layer 3D indoor / underground floors. For example, the multi-layer 3D indoor / underground floors (e.g., an HD map related to multi-layer 3D indoor / underground floors) may include information related to multi-layer parking buildings / underground roadways / tunnels.

[0242] For example, in this disclosure, the HD map may include a digital twin / simulation layer. For example, the digital twin / simulation layer (e.g., the HD map associated with the digital twin / simulation layer) may include information related to an artificial terrain / traffic flow simulation model.

[0243] For example, the event information in this disclosure may include at least one of the following:

[0244] For example, in this disclosure, safety / hazard-related event information may include at least one of the following: information related to cargo / tire shells on the road, information related to mis-merges in temporary lane changes in construction zones, or information related to black ice detection (e.g., fused road surface temperature / friction coefficient).

[0245] For example, in this disclosure, the event information related to regulations / violations may include at least one of the following: information related to violations of bus lane time zones, information related to exceeding the speed limit in front of a school (e.g., 30 km / h), or information related to the prolonged occupation of an electric vehicle charging area.

[0246] For example, in this disclosure, event information related to traffic flow may include at least one of the following: information related to predicting the generation / resolution of tollbooth bottlenecks, information related to platoon train reorganization (e.g., based on inter-car distance), or information related to changes in ramp metering congestion levels.

[0247] For example, in this disclosure, the special / emergency-related event information may include at least one of the following: information related to emergency vehicle approach, information related to the issuance of an EMA (emergency vehicle approach) signal, or information related to detour guidance in wildfire / heavy rain areas.

[0248] For example, in this disclosure, the infrastructure status-related event information may include at least one of the following: information related to a large-scale occurrence of street light failures, information related to V2X RSU communication shadow area detection, or information related to bridge vibration / displacement threshold exceedance.

[0249] For example, in this disclosure, event information related to user experience / convenience may include at least one of the following: information related to measuring drive-through order waiting times, information related to estimating parking space availability / queues, or information related to entering AR tourism content sections.

[0250] For example, the information relating to the (sensing target) object may include at least one of the following:

[0251] For example, in this disclosure, information relating to a vehicle / mobility-related (sensing target) object may include at least one of the following: information relating to a passenger car / cargo vehicle / bus / articulated heavy vehicle, information relating to a Level 4 autonomous shuttle, information relating to a towed trailer, and information relating to a forklift.

[0252] For example, in this disclosure, information relating to micromobility-related (sensing target) objects may include at least one of the following: information relating to electric scooters, information relating to autonomous delivery robots, information relating to electric wheelchairs, or information relating to drones (e.g., low-altitude L-AAMs).

[0253] For example, in this disclosure, information relating to a (sensing target) object related to a VRU (vulnerable road user) (such as a pedestrian) may include at least one of the following: information relating to a child / elderly / visually impaired pedestrian, information relating to a group queue, or information relating to a dog's leash.

[0254] For example, in this disclosure, information relating to infrastructure equipment (sensing target) objects may include at least one of the following: information relating to smart signals, information relating to mobile RSUs, information relating to variable lane indicators, or information relating to road thermal panels.

[0255] For example, in this disclosure, information relating to road assets / obstacles (sensing target) objects may include at least one of the following: information relating to fixed / movable work zone barriers, information relating to cones, information relating to drum-shaped markers, information relating to falling objects, or information relating to anti-slip mats.

[0256] For example, in this disclosure, information relating to environmental element-related (sensing target) objects may include at least one of the following: information relating to PM2.5 spots detected by air quality sensors, information relating to snow / ice, information relating to flood warnings, or information relating to wildlife (e.g., deer / wild boars).

[0257] For example, in this disclosure, information relating to a digital object (sensing target) may include at least one of the following: information relating to a virtual AR marker, or information relating to a ghost node (e.g., geofence) that exists only as a V2X message.

[0258] 2. Transmission of sensing information

[0259] For example, if the sensing target object of the sensing information (e.g., the first target vehicle) has already been sensed by another vehicle / sensor, the validity of the sensing information can be used to determine whether the information needs to be reported (or processed or discarded).

[0260] To this end, for example, object information / event information collected in a specific area can be received and compared with the sensed object (first target vehicle). This information may be received in the form of a list, including location information, identification information, and detailed content, or the moving area may be divided into necessary units and received in HD map data format. Alternatively, for example, if the HD map information is not received or updated and therefore invalid, or if the HD map cannot be received, the sensed information can be transmitted to a higher-layer network entity to confirm the validity of the object and determine whether it is information that affects the generation of a specific type of event.

[0261] 2.1. HD Map-Based

[0262] [Determine if it is an initially sensed object: HD map-based]

[0263] FIG. 15 shows a procedure for a first device to determine the validity of an event according to an embodiment of the present disclosure. The embodiment of FIG. 15 can be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the above embodiments can be omitted.

[0264] In step S1510, for example, the first device can receive first sensing data from the second device. In step S1520, for example, the first device can obtain second sensing data. In step S1530, for example, the first device can obtain information related to an event based on the second sensing data. In step S1540, for example, the first device can determine whether the event is valid based on the first sensing data. In step S1550, for example, the first device can report information related to the first event to the second device based on the first event being valid. For example, step S1550 may not be executed based on the first event being invalid.

[0265] For example, when a vehicle enters a specific area or before entering (when keeping a certain distance or a certain time), sensing information or event generation information for a specific event is transmitted to the corresponding vehicle.

[0266] For example, in the first area, event information for the second area can be transferred from an upper-layer network such as a V2X server to the (event) data format of the HD map at a certain distance (e.g., 100 m) before proceeding to or before proceeding to the second area. For example, there may be several special areas in the second area, and in a specific special area such as a no-parking area, vehicles / objects must not park, for example, vehicles / objects must not exist. For example, in such a situation, it can also be defined that an event corresponding to a violation of the regulations has occurred when a vehicle / object is discovered in the area. For example, the event data can include special area information, sensed object information, etc. (e.g., special area information, sensed object information, etc. are transmitted together with the event data). For example, it may be possible to transmit information in such a form that there are no objects in the first special area of the second area, but there are objects at specific points in the second special area. For example, this may be information that needs to be updated very frequently according to the event reporting / generation cycle, etc., as very dynamic information in the HD map.

[0267] For example, the first vehicle can report the event based on whether the (sensed) event is valid.

[0268] For example, if there is no event information for the first target vehicle on the received HD map event data of the first vehicle, it can be requested to report the corresponding event information to update (newly register) the HD map event.

[0269] For example, if event information for a first target vehicle already exists in the HD map event data received by the first vehicle, and if the update conditions for the relevant event information are met, the first vehicle can report the relevant event information and request that the HD map event be updated (event information update). For example, the update conditions may include comparing the time stamp when the event occurred, the valid duration of the event, the expiry time, etc., and reporting if any new event-related information is meaningful. More specifically, for example, in the case of sensing illegally parked vehicles in the aforementioned illegal parking area, if initial reporting information exists and the current sensing information does not satisfy the event update conditions (for example, if the sensing time is less than 5 minutes different from the time stamp of the initial reporting), the relevant sensing information will be updated. RemovalIt can be (discarded). Alternatively, for example, if the current sensing information satisfies the update conditions for an event (for example, if the sensing time is more than 5 minutes behind the initial reporting time stamp), the first vehicle can transmit the sensing information to the higher-layer network entity. For example, a higher-layer network entity such as a V2X server can combine the initially reported information and the newly reported information and update the event to indicate that the event has satisfied the reporting conditions and is a completed (or expired) event. For example, in HD map event data, it is possible to indicate that the event has already expired for the specific object (for example, the first target object) sensed in the relevant special area of ​​the area, thereby restricting subsequent vehicles / sensors from reporting to that event any further.

[0270] 2.2. Non-HD map-based

[0271] [Determine if it is an initially sensed object: Non-HD map-based]

[0272] If the HD map data received by the first vehicle does not contain event-related information of the specified type, or if the first vehicle is configured not to send or receive event-related information (or event information of the specified type), or if the first vehicle cannot receive HD map information including area information and event information, or if the HD map is unusable, the first vehicle can transmit (e.g., report) the sensed event information to a higher-layer network entity such as a V2X server.

[0273] For example, if event information for the first target vehicle cannot be confirmed in the upper-layer network entity, the HD map event can be updated (newly registered) based on the reported sensing information.

[0274] For example, if event information for a first target vehicle already exists in a higher-layer network entity, the HD map event can be updated (event information updated) based on the reported sensing information if the update conditions for the relevant event information are checked and the update conditions are met. More specifically, for example, in the case of sensing a vehicle parked in an illegal parking area, and in a situation where initial reporting information exists, if the current sensing information does not satisfy the event update conditions (for example, if the sensing time is less than 5 minutes behind the initial reporting time stamp), the relevant sensing information can be discarded. Alternatively, for example, if the current sensing information satisfies the event update conditions (e.g., the sensing time is more than 5 minutes behind the initial reporting time stamp), the initially reported information and the newly reported information can be combined and updated to a completed (or expired) event that satisfies the reporting conditions. For example, the HD map event data can indicate that the event for the specific object (first target object) sensed in the relevant special area of ​​the area has already expired, thereby restricting subsequent vehicles / sensors (and those that can receive HD map information) from reporting on that event any further.

[0275] For example, a vehicle can passively recognize a specific event or automatically recognize it based on an HD map, and at this time, it can check whether to transmit sensing information (effectiveness) based on the characteristics of the event. For example, it can determine how many times the event has been reported so far, when it was first sensed, and how much time has passed between the previous report and the current sensing time. For example, if certain conditions are met (for example, if there is an event that requires transmission twice at intervals of 5 minutes or more, and it has been transmitted once so far, and the previous transmission was 5 minutes and 10 seconds ago, it can be determined that it is effective to transmit sensing information now), the sensing information can be transmitted to a higher-layer network entity. For example, if detailed information about an event cannot be obtained through an HD map, etc. (for example, if the system has sensors and devices simply designed to detect specific events), all detected events can be transmitted to the higher-layer network for filtering and processing within the network.

[0276] For example, if a lot of event-related information is needed, you can either not impose restrictions on sending event information or reduce those restrictions to allow more information to be obtained.

[0277] 3. Sensing Information Processing

[0278] For example, a network entity that receives the sensing information can verify the validity of the sensing information by comparing it with existing information and, if necessary, update and manage the information, or, if necessary, transmit the updated information to the relevant regional entity. For example, the updated HD map may contain data such as event information and identification information for vehicles that have already been reported.

[0279] For example, when a vehicle after initial sensing or reporting passively or automatically recognizes the target vehicle and the violation, reporting or notifying information about the target vehicle's violation can be done through the following options:

[0280] 1) For example, accepting all reporting: Upper-level network entities can accept all repeated reporting to track the presence or absence of target vehicles in the most continuous manner possible. However, if an unspecified number of vehicles report and report the identified target vehicle every time it is seen, it may not be possible to match the minimum time interval, and information reported at too short an interval may simply serve as redundant information, meaningless except to indicate that the target vehicle is still present.

[0281] For example, reporting and notifying an unidentified (e.g., unknown) target vehicle simultaneously or in the order in which they are discovered by a large number of vehicles can help identify the vehicle. Even for unidentified targets, sensed video / images or identification-related information (e.g., license plate area) can be transmitted in the form of V2X messages or as payloads for other applications. In this case, for example, target vehicle-related information can be automatically or passively recognized and entered.

[0282] In this mode, which accepts all reporting, or during the interval in which this mode is in operation, the parameter for the reporting interval can be set to zero or to a minimum value (e.g., 0.1 sec).

[0283] 2) For example, only reports at regular intervals that meet the event conditions are accepted: If there are reports that have already occurred within the time window (e.g., 5 minutes) corresponding to the minimum interval set, no additional reports will be received. If there are no reports that have already occurred within the time window, new reports may be received.

[0284] 3) For example, reports at specific intervals outside of event conditions may also be accepted: or, in order to use the reported results for purposes other than event detection or for auxiliary purposes of event detection, a sub-window (e.g., 5 seconds) smaller than the time window (e.g., 5 minutes) corresponding to the minimum interval may be set, and new reports may be accepted if no reports have already occurred within that sub-window. For example, if it is detected that an object has violated the rules, but the identification information for that object is not accurately identified / reported, reports can be continuously received and the information compiled to obtain a more complete understanding of that information.

[0285] For example, in this disclosure, sensing information (or sensing data) may include at least one of object information or event information. For example, in this disclosure, sensing information (or sensing data) may be interpreted as being substituted for at least one of object information or event information.

[0286] The method proposed in this disclosure can be applied to both 3GPP sensing data and non-3GPP sensing data.

[0287] For example, in the present disclosure, sensing data can be data derived by a sensing radio measurement target based on a radio signal that is affected (e.g., reflected, refracted, diffracted) by an object or environment of interest for the purpose of sensing. For example, this data is raw measurement values and can be selectively processed within a sensing radio measurement entity. For example, the sensing data can include at least one of 3GPP sensing data or non-3GPP sensing data.

[0288] For example, in the present disclosure, 3GPP sensing data is data obtained from a 3GPP radio signal that is affected (e.g., reflected, refracted, diffracted) by an object or environment of interest for the purpose of sensing, and can be selectively processed within a 5G system.

[0289] For example, in the present disclosure, non-3GPP (non-3GPP) sensing data can be data provided by non-3GPP sensors (e.g., video, LiDAR, SONA) with respect to an object or environment of interest for the purpose of sensing.

[0290] For example, in the present disclosure, 5G / 6G wireless sensing is a 5GS / 6GS function that provides a function of obtaining information about the characteristics of an environment and / or an object within the environment (e.g., shape, size, direction, speed, position, distance, relative movement between objects, etc.) using NR radio frequency signals, and can be extended by information generated through functions defined in the EPC and / or E-UTRAN as appropriate.

[0291] For example, in the present disclosure, sensing assistance information can be information provided to a 5G system by a reliable third party and used to support the derivation of sensing results. This information may not include 3GPP sensing data. For example, examples of sensing assistance information can include map information, area information, UE identifiers (IDs) attached to or located around a sensing target, UE location information, UE speed information, and the like.

[0292] For example, in this disclosure, sensing context information is information that a 5G / 6G system exposes to a trusted third party along with the sensing results, and can provide context for 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, local information, time of capture, UE location, and ID. This context information may be required in scenarios where sensing results need to be combined with data from other sources outside of 5GS.

[0293] For example, in this disclosure, a sensing group may be a collection of sensing transmitters and sensing receivers whose locations are known and which can synchronously collect sensing data.

[0294] For example, in this disclosure, a sensing receiver may be an entity that receives sensing signals used by a sensing service in its operation. A sensing receiver may be part of a RAN node or UE. A sensing receiver may be located in the same object as or different from a sensing transmitter.

[0295] For example, in this disclosure, the sensing result may be processed 3GPP sensing data requested by the service consumer.

[0296] For example, in this disclosure, a sensing signal may be a transmitted signal on a 3GPP radio interface that can be used for sensing purposes. For example, this definition may refer to an NR radio frequency signal and may be extended to information generated from existing functions of EPC and / or E-UTRAN.

[0297] For example, a sensing transmitter may be an entity that transmits sensing signals used by a sensing service in its operation. A sensing transmitter may be part of a RAN node or UE. A sensing transmitter may be located on the same or different object as a sensing receiver.

[0298] For example, a target sensing service area could be a location area on a Cartesian coordinate system that needs to sense the characteristics of the environment and / or objects within the environment by deriving them from affected (e.g., reflected, refracted, diffracted) 3GPP radio signals, satisfying specific sensing service quality requirements. This can include both indoor and outdoor environments.

[0299] For example, this disclosure can be applied to base stations and / or terminal monostatic connections. For example, this disclosure can also be applied to base station-base station, base station-UE, UE-base station and / or UE-UE bistatic connections.

[0300] For example, in this disclosure, “specific threshold” can mean a threshold that is predefined or set (in advance) by a higher layer (including the application layer) of the network, base station, or terminal. For example, in this disclosure, “specific setting value” can mean a value that is predefined or set (in advance) by a higher layer (including the application layer) of the network, base station, or terminal. For example, in this disclosure, “being set by the network / base station” can mean an action in which the base station sets (in advance) to the UE via higher-layer RRC signaling, sets / signals to the UE via MACCE, or signals to the UE via DCI.

[0301] For example, in this disclosure, a message can be interpreted as being equivalent to at least one of a control message, a data message, a signal, a data signal, and / or a control signal. For example, in this disclosure, various names are illustrative and can be replaced / considered as other names that perform the same / similar function based on what is described in each step (regardless of the name).

[0302] For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) resource pools. For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) congestion levels. For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) service priorities. For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) service types. For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) QoS requirements (e.g., latency, reliability). For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) the PQI (5QI (5G QoS identifier) ​​for PC5). For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) the traffic type (e.g., periodic generation or aperiodic generation). For example, the applicability of (some of) the proposed methods / rules in this disclosure and / or related parameters (e.g., thresholds) can be set specifically for (or differently or independently of) the SL transmission resource allocation mode (e.g., mode 1 or mode 2).For example, the applicability of (some of) the proposed methods / rules and / or related parameters (e.g., thresholds) of this disclosure can be set specifically (or differently or independently) to a Tx profile (e.g., a Tx profile indicating that a service supports sidelink DRX operation or a Tx profile indicating that a service does not need to support sidelink DRX operation).

[0303] For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be configured specifically (or differently or independently) depending on whether PUCCH configuration is supported (e.g., whether a PUCCH resource is configured or not). For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be configured specifically (or differently or independently) depending on the resource pool (e.g., a resource pool with PSFCH configured or a resource pool without PSFCH configured). For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be configured specifically (or differently or independently) depending on the service / packet type. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be configured specifically (or differently or independently) depending on the service / packet priority. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be configured specifically (or differently or independently) depending on the QoS profile or QoS requirements (e.g., URLLC / EMBB traffic, reliability, latency). For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) the PQI. For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) the PFI. For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) the cast type (e.g., unicast, groupcast, broadcast). For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) the (resource pool) congestion level (e.g., CBR). For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) the SL HARQ feedback method (e.g., NACK-only feedback, ACK / NACK feedback).For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) HARQ Feedback Enabled MAC PDU transmission. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) HARQ Feedback Disabled MAC PDU transmission. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically depending on whether or not PUCCH-based SL HARQ feedback reporting behavior is configured. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically depending on whether or not preemption or preemption-based resource reselection is performed. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically depending on whether or not re-evaluation or re-evaluation-based resource reselection is performed. For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically to (or differently or independently of) the (L2 or L1) (source and / or destination) identifier. For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically to (or differently or independently of) the (L2 or L1) (combination of source ID and destination ID) identifier. For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically to (or differently or independently of) the (L2 or L1) (combination of source ID and destination ID pair and cast type) identifier. For example, the applicability of the proposed rules of this disclosure and / or related parameter settings can be set specifically to (or differently or independently of) the direction of the source layer ID and destination layer ID pair.For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) PC5 RRC connections / links. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) whether SL DRX is performed. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) whether SL DRX is supported. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (e.g., resource allocation mode 1 or resource allocation mode 2) SL mode types (e.g., resource allocation mode 1 or resource allocation mode 2). For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically for (or differently or independently of) performing (non-)periodic resource reservations. For example, the applicability of the proposed rules in this disclosure and / or related parameter settings can be set specifically (or differently or independently) to a Tx profile (e.g., a Tx profile indicating that a service supports sidelink DRX operation or a Tx profile indicating that a service does not need to support sidelink DRX operation).

[0304] The proposals and applicable rules (and / or related parameter settings) in this disclosure may also be applied to mmWave sidelink operation.

[0305] For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the service type. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the priority (LCH or service). For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the QoS requirements (e.g., latency, reliability, minimum communication range). For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the PQI parameter. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the SL HARQ feedback ENABLEDLCH / MAC PDU (transmission). For example, the rule applicability and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) SL HARQ feedback DISABLED LCH / MAC PDU (transmission). For example, the rule applicability and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) resource pool CBR measurements. For example, the rule applicability and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) SL cast types (e.g., unicast, groupcast, broadcast). For example, the rule applicability and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) SL groupcast HARQ feedback options (e.g., NACK only feedback, ACK / NACK feedback, TX-RX distance-based NACK only feedback).For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) an SL Mode 1 CG type (e.g., SL CG Type 1 or SL CG Type 2). For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) an SL Mode type (e.g., Mode 1 or Mode 2). For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) a resource pool. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) whether the PSFCH resource is in a configured resource pool. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) a source (L2) ID. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) the destination (L2) ID. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) the PC5 RRC connection link. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) the SL link. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) the connection status (with the base station) (e.g., RRC CONNECTED state, IDLE state, INACTIVE state). For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / permitted specifically for (or differently or independently of) the SL HARQ process (ID).For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the ability to perform SL DRX operation (of a TX UE or RX UE). For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) the ability to perform power-saving (TX or RX) UEs. For example, the applicability of the rule and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically for (or differently or independently of) cases where PSFCH TX and PSFCH RX (and / or multiple PSFCH TXs exceeding UE capabilities) overlap (and / or when PSFCH TX (and / or PSFCH RX) are omitted) (from the perspective of a particular UE). For example, the applicability of the aforementioned rules and / or the proposed method / rule-related parameter values ​​of this disclosure can be set / allowed specifically (or differently or independently) when the RX UE actually (successfully) receives a PSCCH (and / or PSSCH) (re)transmission from the TX UE.

[0306] For example, the setting (or designation) wording in this disclosure can be broadly interpreted to mean that a base station informs a terminal via a predefined (physical or upper layer) channel / signal (e.g., SIB, RRC, MACCE) (and / or is provided via pre-configuration, and / or that a terminal informs other terminals via a predefined (physical or upper layer) channel / signal (e.g., SL MACCE, PC5 RRC)).

[0307] For example, in this disclosure, the PSFCH wording can be broadly interpreted to (NR or LTE) PSSCH (and / or (NR or LTE) PSCCH) (and / or (NR or LTE) SL SSB (and / or UL channel / signal)). Furthermore, the proposed methods of this disclosure can be combined and used in an expanded manner (in new forms).

[0308] For example, in this disclosure, a specific threshold may be predefined or mean a threshold set (in advance) by a higher layer (including the application layer) of the network, base station, or terminal. For example, in this disclosure, a specific setting value may be predefined or mean a value set (in advance) by a higher layer (including the application layer) of the network, base station, or terminal. For example, an operation set by the network / base station may mean an operation in which the base station sets (in advance) to the UE via higher-layer RRC signaling, sets / signals to the UE via MACCE, or signals to the UE via DCI.

[0309] In embodiments of this disclosure, a message can be interpreted as a control message or a data message or a signal or a data signal or a control signal.

[0310] In embodiments of this disclosure, beam management operations can be interpreted as substitutes for 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 switch or spatial filter switch or reference signal resource measurement or reference signal resource measurement reporting operations or beam reporting or spatial filter reporting.

[0311] In embodiments of this disclosure, the beam can be interpreted as an RS or RS resource or spatial filter resource.

[0312] In embodiments of this disclosure, RS can be interpreted as an RS resource or a spatial filter resource.

[0313] In embodiments of this disclosure, the transmitting terminal can be interpreted as a terminal that transmits a beam, a terminal that transmits beam RS, or a terminal that transmits beam RS resources, etc.

[0314] In embodiments of this disclosure, the receiving terminal can be interpreted as a terminal that receives a beam, a terminal that receives beam RS, or a terminal that receives beam RS resources, etc.

[0315] In embodiments of this disclosure, the transmitted or received beam information transmitted or received by the terminal can be interpreted as a substitute for resource information of the RS (reference signal) associated with the transmitted beam and resource information of the RS (reference signal) associated with the received beam.

[0316] In embodiments of this disclosure, DCR (direct communication request) and / or DCA (direct communication accept) messages can be interpreted as equivalent to PC5-S DCR and / or PC5-S DCA messages, etc.

[0317] In embodiments of this disclosure, spatial setting and / or transmission configuration indication (TCI) information and / or quasi-co-location (QCL) information and / or beams can refer to each other and / or can be interpreted as substitutes for beam-related information, beam direction, spatial domain transmission or reception filter, etc.

[0318] In embodiments of this disclosure, a beam can be interpreted as a transmit beam or a receive beam or a spatial filter or a spatial transmit (TX) filter or a spatial domain transmit (TX) filter or a spatial receive (RX) filter.

[0319] In embodiments of this disclosure, the transmit / transmit beam can be interpreted as a spatial transmit (TX) filter or a spatial domain transmit (TX) filter.

[0320] In embodiments of this disclosure, the received beam can be interpreted as a spatial receiver (RX) filter or a spatial domain receiver (RX) filter.

[0321] In embodiments of this disclosure, having the same spatial setting information (or beam information) for transmission may mean that the terminal's spatial domain TX filter is the same for two different transmitted signals. In embodiments of this disclosure, having the same spatial setting information (or beam information) for reception may mean that two different received signals are in a QCL "Type D" relationship and / or use the same spatial RX parameters.

[0322] For example, control messages (or signals) and / or data messages (or signals) in this disclosure may mean control messages (or signals) and / or data messages (or signals) for wireless communications that are not radar signals (e.g., LTE communications, NR communications, 6G communications, Wi-Fi communications, Bluetooth® communications, and / or other wireless communications).

[0323] For example, the source ID and destination ID disclosed in this disclosure may mean source layer 1 ID and destination layer 1 ID, and / or source layer 2 ID and destination layer 2 ID.

[0324] Figure 16 shows a method by which a first device performs wireless communication according to one embodiment of the present disclosure. The embodiment in Figure 16 can 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.

[0325] Referring to Figure 16, for example, in step S1610, the first device can acquire first sensing data from the second device. For example, in step S1620, the first device can acquire second sensing data. For example, in step S1630, the first device can acquire information related to the event based on the second sensing data. For example, in step S1640, the first device can determine whether the event is valid based on the first sensing data. For example, the first sensing data may include a system that manages at least one of regional information, location information, or object information.

[0326] For example, the validity of the event can be determined based on whether or not the first sensing data includes the information related to the event.

[0327] A method further comprising, for example, reporting the information relating to the event to the second device based on the determination that the event is valid.

[0328] For example, the event can be determined to be valid based on the fact that the first sensing data does not contain the information related to the event.

[0329] For example, the event can be determined to be valid based on the fact that the first sensing data includes the information related to the event, and that the event satisfies the update conditions for the event.

[0330] For example, the update condition for the event may be related to the timestamp in which the event occurred.

[0331] For example, the update conditions for the event may be further related to the validity period of the event.

[0332] For example, the update conditions for the event may be further related to the event's expiration time.

[0333] For example, the event may be related to a no-parking zone.

[0334] For example, the aforementioned system could be an HD (high definition) map.

[0335] For example, the HD map may include information related to smart pedestrian crossings.

[0336] For example, the aforementioned event may be related to either the creation of a tollbooth bottleneck or the resolution of a tollbooth bottleneck.

[0337] For example, the information relating to the object associated with the first sensing data may include information relating to an autonomous delivery robot.

[0338] For example, in this disclosure, the HD map may include at least one of the following:

[0339] For example, in this disclosure, the HD map may include a static geometry layer. For example, the static geometry layer (e.g., the HD map associated with the static geometry layer) may include at least one of the following: information related to lane centerlines, information related to lane boundaries (e.g., polylines), information related to curbs / shoulders, information related to precise curvature, or information related to slope.

[0340] For example, in this disclosure, the HD map may include a digital traffic infrastructure layer. For example, the digital traffic infrastructure layer (e.g., an HD map related to the digital traffic infrastructure layer) may include at least one of the following: traffic signal IDs, sign-related information, variable message sign (VMS)-related information, or smart crosswalk-related information.

[0341] For example, in this disclosure, the HD map may include a restricted area layer. For example, the restricted area layer (e.g., the HD map associated with the restricted area layer) may include at least one of the following: information related to bus / freight lanes, information related to no-stop zones, or information related to areas with restrictions on the transport of dangerous goods.

[0342] For example, in this disclosure, the HD map may include a dynamic events / crowdsourcing layer. For example, the dynamic events / crowdsourcing layer (e.g., the HD map associated with the dynamic events / crowdsourcing layer) may include at least one of the following: information related to construction, information related to accidents, information related to variable speed, or information related to road surface ice and snow.

[0343] For example, in this disclosure, the HD map may include an environmental sensor fusion layer. For example, the environmental sensor fusion layer (e.g., the HD map associated with the environmental sensor fusion layer) may include at least one of the following: information related to LiDAR intensity voxels, information related to mmWave radar reflectivity, or information related to a camera scene graph.

[0344] For example, in this disclosure, the HD map may include a road IoT metadata layer. For example, the road IoT metadata layer (e.g., an HD map associated with the road IoT metadata layer) may include at least one of the following: information related to RSUs, information related to C-V2X RSRP hit maps, or information related to 5G coverage.

[0345] For example, in this disclosure, the HD map may include multi-layer 3D indoor / underground floors. For example, the multi-layer 3D indoor / underground floors (e.g., an HD map related to multi-layer 3D indoor / underground floors) may include information related to multi-layer parking buildings / underground roadways / tunnels.

[0346] For example, in this disclosure, the HD map may include a digital twin / simulation layer. For example, the digital twin / simulation layer (e.g., the HD map associated with the digital twin / simulation layer) may include information related to an artificial terrain / traffic flow simulation model.

[0347] For example, the event information in this disclosure may include at least one of the following:

[0348] For example, in this disclosure, safety / hazard-related event information may include at least one of the following: information related to cargo / tire shells on the road, information related to mis-merges in temporary lane changes in construction zones, or information related to black ice detection (e.g., fused road surface temperature / friction coefficient).

[0349] For example, in this disclosure, the event information related to regulations / violations may include at least one of the following: information related to time-of-day violations of bus-only lanes, information related to exceeding the speed limit (e.g., 30 km / h) in front of a school, or information related to the prolonged occupation of an electric vehicle charging area.

[0350] For example, in this disclosure, the event information related to traffic flow may include at least one of the following: information related to predicting the generation / resolution of tollbooth bottlenecks, information related to platoon train reorganization (e.g., based on inter-car distance), or information related to changes in ramp metering congestion levels.

[0351] For example, in this disclosure, the special / emergency-related event information may include at least one of the following: information related to emergency vehicle approach, information related to the issuance of an EMA (emergency vehicle approach) signal, or information related to the announcement of detours in wildfire / heavy rain areas.

[0352] For example, in this disclosure, the infrastructure status-related event information may include at least one of the following: information related to a large-scale street light failure, information related to V2X RSU communication shadow area detection, or information related to bridge vibration / displacement threshold exceedance.

[0353] For example, in this disclosure, event information related to user experience / convenience may include at least one of the following: information related to the actual measurement of drive-through order waiting times, information related to the estimation of parking space availability / queues, or information related to entering an AR tourism content section.

[0354] For example, the information relating to the (sensing target) object may include at least one of the following:

[0355] For example, in this disclosure, information relating to a vehicle / mobility-related (sensing target) object may include at least one of the following: information relating to a passenger car / cargo vehicle / bus / articulated heavy vehicle, information relating to a Level 4 autonomous shuttle, information relating to a towed trailer, and information relating to a forklift.

[0356] For example, in this disclosure, information relating to micromobility-related (sensing target) objects may include at least one of the following: information relating to electric scooters, information relating to autonomous delivery robots, information relating to electric wheelchairs, or information relating to drones (e.g., low-altitude L-AAMs).

[0357] For example, in this disclosure, information relating to a (sensing target) object related to a VRU (vulnerable road user) (such as a pedestrian) may include at least one of the following: information relating to a child / elderly / visually impaired pedestrian, information relating to a group queue, or information relating to a dog walking leash.

[0358] For example, in this disclosure, information relating to infrastructure equipment (sensing target) objects may include at least one of the following: information relating to smart signals, information relating to mobile RSUs, information relating to variable lane indicators, or information relating to road thermal panels.

[0359] For example, in this disclosure, information relating to road assets / obstacles (sensing target) objects may include at least one of the following: information relating to fixed / movable work zone barriers, information relating to cones, information relating to drum-shaped markers, information relating to falling objects, or information relating to anti-slip mats.

[0360] For example, in this disclosure, information relating to environmental elements (sensing targets) may include at least one of the following: information relating to PM2.5 spots detected by air quality sensors, information relating to snow / ice, information relating to flood warnings, or information relating to wildlife (e.g., deer / wild boars).

[0361] For example, in this disclosure, information relating to a digital object (sensing target) may include at least one of the following: information relating to a virtual AR sign, or information relating to a ghost node (e.g., geofence) that exists only as a V2X message.

[0362] The proposed method can be applied to a first apparatus according to various embodiments of the present disclosure. For example, first, the processor 102 of the first apparatus 100 can acquire first sensing data from the second apparatus (for example, the processor 102 of the first apparatus 100 can control the transceiver 106 to acquire first sensing data from the second apparatus). For example, then, the processor 102 of the first apparatus 100 can acquire second sensing data (for example, the processor 102 of the first apparatus 100 can control the transceiver 106 to acquire second sensing data). For example, then, the processor 102 of the first apparatus 100 can acquire information related to an event based on the second sensing data (for example, the processor 102 of the first apparatus 100 can control the transceiver 106 to acquire information related to an event based on the second sensing data). For example, the processor 102 of the first device 100 can determine whether the event is valid based on the first sensing data (for example, the processor 102 of the first device 100 can control the transceiver 106 to determine whether the event is valid based on the first sensing data). For example, the first sensing data may include a system that manages at least one of regional information, location information, or object information.

[0363] According to one embodiment of the present disclosure, a first device is 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 for storing instructions. For example, the first device may, based on the instructions being executed by the at least one processor,: to obtain first sensing data from a second device; to obtain second sensing data; to obtain information related to an event based on the second sensing data; and to determine whether the event is valid based on the first sensing data. For example, the first sensing data may include a system for managing at least one of regional information, location information, or object information.

[0364] For example, the validity of the event can be determined based on whether or not the first sensing data includes the information related to the event.

[0365] A method further comprising, for example, reporting the information relating to the event to the second device based on the determination that the event is valid.

[0366] For example, the event can be determined to be valid based on the fact that the first sensing data does not contain the information related to the event.

[0367] For example, the event can be determined to be valid based on the fact that the first sensing data includes the information related to the event, and that the event satisfies the update conditions for the event.

[0368] For example, the update condition for the event may be related to the timestamp in which the event occurred.

[0369] For example, the update conditions for the event may be further related to the validity period of the event.

[0370] For example, the update conditions for the event may be further related to the event's expiration time.

[0371] For example, the event may be related to a no-parking zone.

[0372] For example, the aforementioned system could be an HD (high definition) map.

[0373] For example, the HD map may include information related to smart pedestrian crossings.

[0374] For example, the aforementioned event may be related to either the creation of a tollbooth bottleneck or the resolution of a tollbooth bottleneck.

[0375] For example, the information relating to the object associated with the first sensing data may include information relating to an autonomous delivery robot.

[0376] For example, in this disclosure, the HD map may include at least one of the following:

[0377] For example, in this disclosure, the HD map may include a static geometry layer. For example, the static geometry layer (e.g., the HD map associated with the static geometry layer) may include at least one of the following: information related to lane centerlines, information related to lane boundaries (e.g., polylines), information related to curbs / shoulders, information related to precise curvature, or information related to slope.

[0378] For example, in this disclosure, the HD map may include a digital traffic infrastructure layer. For example, the digital traffic infrastructure layer (e.g., an HD map related to the digital traffic infrastructure layer) may include at least one of the following: traffic signal IDs, sign-related information, variable message sign (VMS)-related information, or smart crosswalk-related information.

[0379] For example, in this disclosure, the HD map may include a restricted area layer. For example, the restricted area layer (e.g., an HD map associated with the restricted area layer) may include at least one of the following: information related to bus / freight lanes, information related to no-stop zones, or information related to areas with restrictions on the transport of dangerous goods.

[0380] For example, in this disclosure, the HD map may include a dynamic events / crowdsourcing layer. For example, the dynamic events / crowdsourcing layer (e.g., the HD map associated with the dynamic events / crowdsourcing layer) may include at least one of the following: information related to construction, information related to accidents, information related to variable speed, or information related to road surface ice and snow.

[0381] For example, in this disclosure, the HD map may include an environmental sensor fusion layer. For example, the environmental sensor fusion layer (e.g., the HD map associated with the environmental sensor fusion layer) may include at least one of the following: information related to LiDAR intensity voxels, information related to mmWave radar reflectivity, or information related to a camera scene graph.

[0382] For example, in this disclosure, the HD map may include a road-IoT metadata layer. For example, the road-IoT metadata layer (e.g., the HD map associated with the road-IoT metadata layer) may include at least one of the following: information related to RSUs, information related to C-V2X RSRP hit maps, or information related to 5G coverage.

[0383] For example, in this disclosure, the HD map may include multi-layer 3D indoor / underground floors. For example, the multi-layer 3D indoor / underground floors (e.g., an HD map related to multi-layer 3D indoor / underground floors) may include information related to multi-layer parking buildings / underground roadways / tunnels.

[0384] For example, in this disclosure, the HD map may include a digital twin / simulation layer. For example, the digital twin / simulation layer (e.g., the HD map associated with the digital twin / simulation layer) may include information related to an artificial terrain / traffic flow simulation model.

[0385] For example, the event information in this disclosure may include at least one of the following:

[0386] For example, in this disclosure, safety / hazard-related event information may include at least one of the following: information related to cargo / tire shells on the road, information related to mis-merges in temporary lane changes in construction zones, or information related to black ice detection (e.g., fused road surface temperature / friction coefficient).

[0387] For example, in this disclosure, the event information related to regulations / violations may include at least one of the following: information related to time-of-day violations of bus-only lanes, information related to exceeding the speed limit (e.g., 30 km / h) in front of a school, or information related to the prolonged occupation of an electric vehicle charging area.

[0388] For example, in this disclosure, the event information related to traffic flow may include at least one of the following: information related to predicting the generation / resolution of tollbooth bottlenecks, information related to platoon train reorganization (e.g., based on inter-car distance), or information related to changes in ramp metering congestion levels.

[0389] For example, in this disclosure, the special / emergency-related event information may include at least one of the following: information related to emergency vehicle approach, information related to the issuance of an EMA (emergency vehicle approach) signal, or information related to the announcement of detours in wildfire / heavy rain areas.

[0390] For example, in this disclosure, the infrastructure status-related event information may include at least one of the following: information related to a large-scale street light failure, information related to V2X RSU communication shadow area detection, or information related to bridge vibration / displacement threshold exceedance.

[0391] For example, in this disclosure, event information related to user experience / convenience may include at least one of the following: information related to the actual measurement of drive-through order waiting times, information related to the estimation of parking space availability / queues, or information related to entering an AR tourism content section.

[0392] For example, the information relating to the (sensing target) object may include at least one of the following:

[0393] For example, in this disclosure, information relating to a vehicle / mobility-related (sensing target) object may include at least one of the following: information relating to a passenger car / cargo vehicle / bus / articulated heavy vehicle, information relating to a Level 4 autonomous shuttle, information relating to a towed trailer, and information relating to a forklift.

[0394] For example, in this disclosure, information relating to micromobility-related (sensing target) objects may include at least one of the following: information relating to electric scooters, information relating to autonomous delivery robots, information relating to electric wheelchairs, or information relating to drones (e.g., low-altitude L-AAMs).

[0395] For example, in this disclosure, information relating to a (sensing target) object related to a VRU (vulnerable road user) (such as a pedestrian) may include at least one of the following: information relating to a child / elderly / visually impaired pedestrian, information relating to a group queue, or information relating to a dog walking leash.

[0396] For example, in this disclosure, information relating to infrastructure equipment (sensing target) objects may include at least one of the following: information relating to smart signals, information relating to mobile RSUs, information relating to variable lane indicators, or information relating to road thermal panels.

[0397] For example, in this disclosure, information relating to road assets / obstacles (sensing target) objects may include at least one of the following: information relating to fixed / movable work zone barriers, information relating to cones, information relating to drum-shaped markers, information relating to falling objects, or information relating to anti-slip mats.

[0398] For example, in this disclosure, information relating to environmental elements (sensing targets) may include at least one of the following: information relating to PM2.5 spots detected by air quality sensors, information relating to snow / ice, information relating to flood warnings, or information relating to wildlife (e.g., deer / wild boars).

[0399] For example, in this disclosure, information relating to a digital object (sensing target) may include at least one of the following: information relating to a virtual AR sign, or information relating to a ghost node (e.g., geofence) that exists only as a V2X message.

[0400] According to one embodiment of the present disclosure, a processing unit (configured to control a first device) is provided. For example, the processing unit 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 to: obtain first sensing data from a second device; obtain second sensing data; obtain information related to an event based on the second sensing data; and determine whether the event is valid based on the first sensing data, based on the first sensing data. For example, the first sensing data may include a system for managing at least one of regional information, location information, or object information.

[0401] According to one embodiment of the present disclosure, a non-temporary computer-readable storage medium recording instructions is provided. For example, when executed, the instructions may cause a first device to: obtain first sensing data from a second device; obtain second sensing data; obtain information related to an event based on the second sensing data; and determine whether the event is valid based on the first sensing data. For example, the first sensing data may include a system managing at least one of regional information, location information, or object information.

[0402] Figure 17 shows a method by which a second device performs wireless communication according to one embodiment of the present disclosure. The embodiment in Figure 17 can 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.

[0403] Referring to Figure 17, for example, in step S1710, the second device can transmit first sensing data to the first device. For example, in step S1720, the second device can receive a report from the first device of information relating to an event related to the second sensing data. For example, the event is received based on the determination that the event is valid. For example, the validity of the event can be determined based on the transmitted first sensing data.

[0404] For example, the validity of the event can be determined based on whether or not the first sensing data includes the information related to the event.

[0405] For example, the event can be determined to be valid based on the fact that the first sensing data does not contain the information related to the event.

[0406] For example, the event can be determined to be valid based on the fact that the first sensing data includes the information related to the event, and that the event satisfies the update conditions for the event.

[0407] For example, the update condition for the event may be related to the timestamp in which the event occurred.

[0408] For example, the update conditions for the event may be further related to the validity period of the event.

[0409] For example, the update conditions for the event may be further related to the event's expiration time.

[0410] For example, the event may be related to a no-parking zone.

[0411] For example, the aforementioned system could be an HD (high definition) map.

[0412] For example, the HD map may include information related to smart pedestrian crossings.

[0413] For example, the aforementioned event may be related to either the creation of a tollbooth bottleneck or the resolution of a tollbooth bottleneck.

[0414] For example, the information relating to the object associated with the first sensing data may include information relating to an autonomous delivery robot.

[0415] For example, in this disclosure, the HD map may include at least one of the following:

[0416] For example, in this disclosure, the HD map may include a static geometry layer. For example, the static geometry layer (e.g., the HD map associated with the static geometry layer) may include at least one of the following: information related to lane centerlines, information related to lane boundaries (e.g., polylines), information related to curbs / shoulders, information related to precise curvature, or information related to slope.

[0417] For example, in this disclosure, the HD map may include a digital traffic infrastructure layer. For example, the digital traffic infrastructure layer (e.g., an HD map related to the digital traffic infrastructure layer) may include at least one of the following: traffic signal IDs, sign-related information, variable message sign (VMS)-related information, or smart crosswalk-related information.

[0418] For example, in this disclosure, the HD map may include a restricted area layer. For example, the restricted area layer (e.g., the HD map associated with the restricted area layer) may include at least one of the following: information related to bus / freight lanes, information related to no-stop zones, or information related to areas with restrictions on the transport of dangerous goods.

[0419] For example, in this disclosure, the HD map may include a dynamic events / crowdsourcing layer. For example, the dynamic events / crowdsourcing layer (e.g., the HD map associated with the dynamic events / crowdsourcing layer) may include at least one of the following: information related to construction, information related to accidents, information related to variable speed, or information related to road surface ice and snow.

[0420] For example, in this disclosure, the HD map may include an environmental sensor fusion layer. For example, the environmental sensor fusion layer (e.g., the HD map associated with the environmental sensor fusion layer) may include at least one of the following: information related to LiDAR intensity voxels, information related to mmWave radar reflectivity, or information related to a camera scene graph.

[0421] For example, in this disclosure, the HD map may include a road-IoT metadata layer. For example, the road-IoT metadata layer (e.g., the HD map associated with the road-IoT metadata layer) may include at least one of the following: information related to RSUs, information related to C-V2X RSRP hit maps, or information related to 5G coverage.

[0422] For example, in this disclosure, the HD map may include multi-layer 3D indoor / underground floors. For example, the multi-layer 3D indoor / underground floors (e.g., an HD map related to multi-layer 3D indoor / underground floors) may include information related to multi-layer parking buildings / underground roadways / tunnels.

[0423] For example, in this disclosure, the HD map may include a digital twin / simulation layer. For example, the digital twin / simulation layer (e.g., the HD map associated with the digital twin / simulation layer) may include information related to an artificial terrain / traffic flow simulation model.

[0424] For example, the event information in this disclosure may include at least one of the following:

[0425] For example, in this disclosure, safety / hazard-related event information may include at least one of the following: information related to cargo / tire shells on the road, information related to mis-merges in temporary lane changes in construction zones, or information related to black ice detection (e.g., fused road surface temperature / friction coefficient).

[0426] For example, in this disclosure, the event information related to regulations / violations may include at least one of the following: information related to time-of-day violations of bus-only lanes, information related to exceeding the speed limit (e.g., 30 km / h) in front of a school, or information related to the prolonged occupation of an electric vehicle charging area.

[0427] For example, in this disclosure, the event information related to traffic flow may include at least one of the following: information related to predicting the generation / resolution of tollbooth bottlenecks, information related to platoon train reorganization (e.g., based on inter-car distance), or information related to changes in ramp metering congestion levels.

[0428] For example, in this disclosure, the special / emergency-related event information may include at least one of the following: information related to emergency vehicle approach, information related to the issuance of an EMA (emergency vehicle approach) signal, or information related to the announcement of detours in wildfire / heavy rain areas.

[0429] For example, in this disclosure, the infrastructure status-related event information may include at least one of the following: information related to a large-scale street light failure, information related to V2X RSU communication shadow area detection, or information related to bridge vibration / displacement threshold exceedance.

[0430] For example, in this disclosure, event information related to user experience / convenience may include at least one of the following: information related to the actual measurement of drive-through order waiting times, information related to the estimation of parking space availability / queues, or information related to entering an AR tourism content section.

[0431] For example, the information relating to the (sensing target) object may include at least one of the following:

[0432] For example, in this disclosure, information relating to a vehicle / mobility-related (sensing target) object may include at least one of the following: information relating to a passenger car / cargo vehicle / bus / articulated heavy vehicle, information relating to a Level 4 autonomous shuttle, information relating to a towed trailer, and information relating to a forklift.

[0433] For example, in this disclosure, information relating to micromobility-related (sensing target) objects may include at least one of the following: information relating to electric scooters, information relating to autonomous delivery robots, information relating to electric wheelchairs, or information relating to drones (e.g., low-altitude L-AAMs).

[0434] For example, in this disclosure, information relating to a (sensing target) object related to a VRU (vulnerable road user) (such as a pedestrian) may include at least one of the following: information relating to a child / elderly / visually impaired pedestrian, information relating to a group queue, or information relating to a dog walking leash.

[0435] For example, in this disclosure, information relating to infrastructure equipment (sensing target) objects may include at least one of the following: information relating to smart signals, information relating to mobile RSUs, information relating to variable lane indicators, or information relating to road thermal panels.

[0436] For example, in this disclosure, information relating to road assets / obstacles (sensing target) objects may include at least one of the following: information relating to fixed / movable work zone barriers, information relating to cones, information relating to drum-shaped markers, information relating to falling objects, or information relating to anti-slip mats.

[0437] For example, in this disclosure, information relating to environmental elements (sensing targets) may include at least one of the following: information relating to PM2.5 spots detected by air quality sensors, information relating to snow / ice, information relating to flood warnings, or information relating to wildlife (e.g., deer / wild boars).

[0438] For example, in this disclosure, information relating to a digital object (sensing target) may include at least one of the following: information relating to a virtual AR sign, or information relating to a ghost node (e.g., geofence) that exists only as a V2X message.

[0439] The proposed method can be applied to devices according to various embodiments of the present disclosure. For example, first, the processor 202 of the second device 200 can transmit first sensing data to the first device (for example, the processor 202 of the second device 200 can control the transceiver 206 to transmit first sensing data to the first device). For example, then, the processor 202 of the second device 200 can receive a report from the first device of information relating to an event related to second sensing data (for example, the processor 202 of the second device 200 can control the transceiver 206 to receive a report from the first device of information relating to an event related to second sensing data). For example, the event is received on the basis that it has been determined that the event is valid. For example, the validity of the event can be determined based on the transmitted first sensing data.

[0440] According to one embodiment of the present disclosure, a second device is 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 for storing instructions. For example, the instructions may cause the second device to: transmit first sensing data to the first device on the basis that the instructions are executed by the at least one processor; and receive reports from the first device of information relating to events related to the second sensing data. For example, the events are received on the basis that it has been determined that the events are valid. For example, the validity of the events may be determined on the transmitted first sensing data.

[0441] For example, the validity of the event can be determined based on whether or not the first sensing data includes the information related to the event.

[0442] For example, the event can be determined to be valid based on the fact that the first sensing data does not contain the information related to the event.

[0443] For example, the event can be determined to be valid based on the fact that the first sensing data includes the information related to the event, and that the event satisfies the update conditions for the event.

[0444] For example, the update condition for the event may be related to the timestamp in which the event occurred.

[0445] For example, the update conditions for the event may be further related to the validity period of the event.

[0446] For example, the update conditions for the event may be further related to the event's expiration time.

[0447] For example, the event may be related to a no-parking zone.

[0448] For example, the aforementioned system could be an HD (high definition) map.

[0449] For example, the HD map may include information related to smart pedestrian crossings.

[0450] For example, the aforementioned event may be related to either the creation of a tollbooth bottleneck or the resolution of a tollbooth bottleneck.

[0451] For example, the information relating to the object associated with the first sensing data may include information relating to an autonomous delivery robot.

[0452] For example, in this disclosure, the HD map may include at least one of the following:

[0453] For example, in this disclosure, the HD map may include a static geometry layer. For example, the static geometry layer (e.g., the HD map associated with the static geometry layer) may include at least one of the following: information related to lane centerlines, information related to lane boundaries (e.g., polylines), information related to curbs / shoulders, information related to precise curvature, or information related to slope.

[0454] For example, in this disclosure, the HD map may include a digital traffic infrastructure layer. For example, the digital traffic infrastructure layer (e.g., an HD map related to the digital traffic infrastructure layer) may include at least one of the following: traffic signal IDs, sign-related information, variable message sign (VMS)-related information, or smart crosswalk-related information.

[0455] For example, in this disclosure, the HD map may include a restricted area layer. For example, the restricted area layer (e.g., an HD map associated with the restricted area layer) may include at least one of the following: information related to bus / freight lanes, information related to no-stop zones, or information related to areas with restrictions on the transport of dangerous goods.

[0456] For example, in this disclosure, the HD map may include a dynamic events / crowdsourcing layer. For example, the dynamic events / crowdsourcing layer (e.g., the HD map associated with the dynamic events / crowdsourcing layer) may include at least one of the following: information related to construction, information related to accidents, information related to variable speed, or information related to road surface ice and snow.

[0457] For example, in this disclosure, the HD map may include an environmental sensor fusion layer. For example, the environmental sensor fusion layer (e.g., the HD map associated with the environmental sensor fusion layer) may include at least one of the following: information related to LiDAR intensity voxels, information related to mmWave radar reflectivity, or information related to a camera scene graph.

[0458] For example, in this disclosure, the HD map may include a road-IoT metadata layer. For example, the road-IoT metadata layer (e.g., the HD map associated with the road-IoT metadata layer) may include at least one of the following: information related to RSUs, information related to C-V2X RSRP hit maps, or information related to 5G coverage.

[0459] For example, in this disclosure, the HD map may include multi-layer 3D indoor / underground floors. For example, the multi-layer 3D indoor / underground floors (e.g., an HD map related to multi-layer 3D indoor / underground floors) may include information related to multi-layer parking buildings / underground roadways / tunnels.

[0460] For example, in this disclosure, the HD map may include a digital twin / simulation layer. For example, the digital twin / simulation layer (e.g., the HD map associated with the digital twin / simulation layer) may include information related to an artificial terrain / traffic flow simulation model.

[0461] For example, the event information in this disclosure may include at least one of the following:

[0462] For example, in this disclosure, safety / hazard-related event information may include at least one of the following: information related to cargo / tire shells on the road, information related to mis-merges in temporary lane changes in construction zones, or information related to black ice detection (e.g., fused road surface temperature / friction coefficient).

[0463] For example, in this disclosure, the event information related to regulations / violations may include at least one of the following: information related to time-of-day violations of bus-only lanes, information related to exceeding the speed limit (e.g., 30 km / h) in front of a school, or information related to the prolonged occupation of an electric vehicle charging area.

[0464] For example, in this disclosure, the event information related to traffic flow may include at least one of the following: information related to predicting the generation / resolution of tollbooth bottlenecks, information related to platoon train reorganization (e.g., based on inter-car distance), or information related to changes in ramp metering congestion levels.

[0465] For example, in this disclosure, the special / emergency-related event information may include at least one of the following: information related to emergency vehicle approach, information related to the issuance of an EMA (emergency vehicle approach) signal, or information related to the announcement of detours in wildfire / heavy rain areas.

[0466] For example, in this disclosure, the infrastructure status-related event information may include at least one of the following: information related to a large-scale street light failure, information related to V2X RSU communication shadow area detection, or information related to bridge vibration / displacement threshold exceedance.

[0467] For example, in this disclosure, event information related to user experience / convenience may include at least one of the following: information related to the actual measurement of drive-through order waiting times, information related to the estimation of parking space availability / queues, or information related to entering an AR tourism content section.

[0468] For example, the information relating to the (sensing target) object may include at least one of the following:

[0469] For example, in this disclosure, information relating to a vehicle / mobility-related (sensing target) object may include at least one of the following: information relating to a passenger car / cargo vehicle / bus / articulated heavy vehicle, information relating to a Level 4 autonomous shuttle, information relating to a towed trailer, and information relating to a forklift.

[0470] For example, in this disclosure, information relating to micromobility-related (sensing target) objects may include at least one of the following: information relating to electric scooters, information relating to autonomous delivery robots, information relating to electric wheelchairs, or information relating to drones (e.g., low-altitude L-AAMs).

[0471] For example, in this disclosure, information relating to a (sensing target) object related to a VRU (vulnerable road user) (such as a pedestrian) may include at least one of the following: information relating to a child / elderly / visually impaired pedestrian, information relating to a group queue, or information relating to a dog walking leash.

[0472] For example, in this disclosure, information relating to infrastructure equipment (sensing target) objects may include at least one of the following: information relating to smart signals, information relating to mobile RSUs, information relating to variable lane indicators, or information relating to road thermal panels.

[0473] For example, in this disclosure, information relating to road assets / obstacles (sensing target) objects may include at least one of the following: information relating to fixed / movable work zone barriers, information relating to cones, information relating to drum-shaped markers, information relating to falling objects, or information relating to anti-slip mats.

[0474] For example, in this disclosure, information relating to environmental elements (sensing targets) may include at least one of the following: information relating to PM2.5 spots detected by air quality sensors, information relating to snow / ice, information relating to flood warnings, or information relating to wildlife (e.g., deer / wild boars).

[0475] For example, in this disclosure, information relating to a digital object (sensing target) may include at least one of the following: information relating to a virtual AR sign, or information relating to a ghost node (e.g., geofence) that exists only as a V2X message.

[0476] According to one embodiment of the present disclosure, a processing unit (configured to control a second device) is provided. For example, the processing unit 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 to transmit first sensing data to the first device and receive reports from the first device of information relating to events related to the second sensing data, based on that the instructions are executed by the at least one processor. For example, the events are received based on the determination that the events are valid. For example, the validity of the events may be determined based on the transmitted first sensing data.

[0477] According to one embodiment of the present disclosure, a non-temporary computer-readable storage medium recording instructions is provided. For example, the instructions, when executed, may cause a second device to transmit a signal for sensing; for example, a signal reflected from an object is received; for example, sensing can be performed based on the reflected signal. For example, the instructions, when executed, may cause a second device to transmit first sensing data to a first device; and receive a report from the first device of information relating to an event related to the second sensing data. For example, the event is received based on the determination that the event is valid; for example, the validity of the event can be determined based on the transmitted first sensing data.

[0478] While a single vehicle / sensor may have limitations in providing all the information necessary to complete an event, it is possible to check the event status more efficiently and accurately by having numerous unspecified vehicles / sensors passing around the event area cooperate and transmit the information.

[0479] This disclosure describes the separation and distribution of sensing data between "the first device and the second device." The first device receives the first sensing data (including the regional / location / object management system) from the second device, secures historical / regulatory information, and then acquires the second sensing data itself to measure the situation on site. Subsequently, the second sensing data is analyzed to extract event information (e.g., presence or absence of a violating vehicle), and then, based on the first sensing data, a real-time determination is made as to whether this event is "worth reporting." Therefore, various terminals can cooperate to quickly complete the necessary / sufficient set of evidence without a single sensor repeatedly taking delayed images.

[0480] The validity check logic dynamically applies (i) minimum / maximum reporting intervals, (ii) update conditions (timestamp / validity period / expiration time, etc.), and (iii) event type-specific policies. As a result, wireless traffic for redundant reporting is significantly reduced, and the server can update the HD map accurately in real time because it receives only the latest / consistent events.

[0481] Furthermore, this disclosure can be extended to various V2X scenarios such as no-stop zones, smart crosswalks, and tollbooth bottlenecks. By overcoming the field of view / failure limitations of a single device through sensor / terminal collaborative perception, it improves event detection reliability and service quality (e.g., URLLC requirements), ultimately enhancing the safety and efficiency of intelligent traffic / autonomous driving platforms simultaneously.

[0482] The various embodiments of this disclosure can be combined with each other, and some descriptions, functions, procedures, suggestions, methods and / or operations of the various embodiments can be omitted.

[0483] The proposed method described above can be applied to the apparatus described below. First, the processor 202 of the receiving terminal can set at least one bandwidth part (e.g., BWP). Then, the processor 202 of the receiving terminal can control the transceiver 206 of the receiving terminal to receive terminal-to-terminal communication (e.g., SL communication) related physical channels and / or terminal-to-terminal communication (e.g., SL communication) related reference signals from the transmitting terminal on at least one bandwidth part (e.g., BWP).

[0484] The following describes devices to which various embodiments of this disclosure apply.

[0485] Without limit, the various descriptions, functions, procedures, suggestions, methods and / or operation diagrams disclosed in this document can be applied to various fields requiring wireless communication / connection (e.g., 5G) between devices.

[0486] The following provides more specific examples with reference to the drawings. In the following drawings and descriptions, unless otherwise specified, the same or corresponding hardware blocks, software blocks, or functional blocks can be illustrated by the same reference numerals in the same drawings.

[0487] Figure 18 shows a communication system (1) according to one embodiment of the present disclosure. The embodiment in Figure 18 can 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.

[0488] Referring to Figure 18, the communication system (1) to which various embodiments of this disclosure apply includes wireless equipment, base stations, and networks. Here, wireless equipment means equipment that communicates using wireless connectivity technology (e.g., 5G NR (New RAT), LTE (Long term evolution)), and can be called communication / wireless / 5G equipment. However, wireless equipment can include, but is not limited to, robots 100a, vehicles 100b-1, 100b-2, XR (eXtended Reality) equipment 100c, handheld devices 100d, home appliances 100e, IoT (Internet of Things) equipment 100f, and AI equipment / servers 400. For example, vehicles can include vehicles equipped with wireless communication capabilities, autonomous vehicles, and vehicles capable of vehicle-to-vehicle communication. Here, a vehicle can include a UAV (Unmanned aerial vehicle) (e.g., a drone) and / or an AV (Aerial Vehicle) (e.g., an AAM (Advanced Air Mobility)). XR devices include AR (Augmented Reality) / VR (Virtual Reality) / MR (Mixed Reality) devices and can be implemented in the form of HMDs (Head-Mounted Devices), HUDs (Head-Up Displays) mounted on vehicles, televisions, smartphones, computers, wearable devices, home appliances, digital signage, vehicles, robots, etc. Mobile devices can include smartphones, smart pads, wearable devices (e.g., smartwatches, smart glasses), computers (e.g., laptops, etc.). Home appliances can include TVs, refrigerators, washing machines, etc. IoT devices can include sensors, smart meters, etc. For example, base stations and networks can also be implemented as wireless devices, and certain wireless devices 200a can operate as base stations / network nodes with other wireless devices.

[0489] Here, the wireless communication technologies implemented in the wireless devices 100a to 100f of this specification may include not only LTE, NR, and 6G, but also Narrowband Internet of Things for low-power communication. In this case, for example, NB-IoT technology is an example of LPWAN (Low Power Wide Area Network) technology and can be implemented as standards such as LTE Cat NB1 and / or LTE Cat NB2, and is not limited to the names mentioned above. Furthermore, or generally, the wireless communication technologies implemented in the wireless devices 100a to 100f of this specification can communicate based on LTE-M technology. In this case, for example, LTE-M technology is an example of LPWAN technology and is called by various names such as eMTC (enhanced Machine Type Communication). For example, LTE-M technology can 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. Furthermore, the wireless communication technologies implemented in the wireless devices 100a to 100f of this specification may include, or generally may not include, at least one of ZigBee, Bluetooth, and Low Power Wide Area Network (LPWAN) technologies, which take low-power communication into consideration. For example, Zigbee technology can generate personal area networks (PANs) related to small / low-power digital communication based on various standards such as IEEE 802.15.4, and is known by various names.

[0490] Wireless devices 100a to 100f can be connected to the network 300 via the base station 200. Artificial Intelligence (AI) technology can be applied to wireless devices 100a to 100f, and wireless devices 100a to 100f can be connected to the AI ​​server 400 via the network 300. The network 300 can be configured using a 3G network, a 4G (e.g., LTE) network, or a 5G (e.g., NR) network. Wireless devices 100a to 100f can communicate with each other via the base station 200 / network 300, but they can also communicate directly (e.g., sidelink communication) without going through the base station / network. For example, vehicles 100b-1 and 100b-2 can communicate directly (e.g., V2V (Vehicle to Vehicle) / V2X (Vehicle to everything) communication). Furthermore, IoT devices (e.g., sensors) can communicate directly with other IoT devices (e.g., sensors) or other wireless devices 100a to 100f.

[0491] Wireless communication / connection 150a, 150b, and 150c can be performed between wireless devices 100a to 100f and base stations 200, and between base stations 200. Here, wireless communication / connection can be performed via uplink / downlink communication 150a, sidelink communication 150b (or D2D communication), and communication between base stations 150c (e.g., relay, IAB (Integrated Access Backhaul), or various other wireless connectivity technologies (e.g., 5G NR)). Wireless devices and base stations / wireless devices, and base stations and base stations can transmit / receive wireless signals from each other via wireless communication / connection 150a, 150b, and 150c. For example, wireless communication / connection 150a, 150b, and 150c can transmit / receive signals via various physical channels. To this end, at least some of the following can be performed based on the various proposals of this disclosure: 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.

[0492] Figure 19 shows a wireless device according to one embodiment of the present disclosure. The embodiment in Figure 19 can 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.

[0493] Referring to Figure 19, the first wireless device 100 and the second wireless device 200 can transmit and receive wireless signals via various wireless connectivity technologies (e.g., LTE, NR). Here, {first wireless device 100, second wireless device 200} can correspond to {wireless device 100x, base station 200} and / or {wireless device 100x, wireless device 100x} in Figure 18.

[0494] The first wireless device 100 includes one or more processors 102 and one or more memories 104, and may further include one or more transceivers 106 and / or one or more antennas 108. The processor 102 may control the memories 104 and / or the transceivers 106 and be configured to embody the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein. For example, the processor 102 may process information in the memory 104 to generate a first information / signal, and then transmit a wireless signal containing the first information / signal via the transceiver 106. Alternatively, the processor 102 may receive a wireless signal containing a second information / signal via the transceiver 106, and then store information obtained from signal processing of the second information / signal in the memory 104. The memory 104 may be linked to the processor 102 and may store various information related to the operation of the processor 102. For example, memory 104 may store software code that includes instructions for executing some or all of the processes controlled by processor 102, or for executing the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein. Here, processor 102 and memory 104 are part of a communication modem / circuit / chip designed to embody wireless communication technology (e.g., LTE, NR). Transceiver 106 may be coupled with processor 102 and may transmit and / or receive radio signals via one or more antennas 108. Transceiver 106 may include a transmitter and / or receiver. Transceiver 106 may be used in combination with an RF (Radio Frequency) unit. In this disclosure, wireless equipment may also mean a communication modem / circuit / chip.

[0495] The second wireless device 200 includes one or more processors 202, one or more memories 204, and may further include one or more transceivers 206 and / or one or more antennas 208. The processor 202 may control the memories 204 and / or the transceivers 206 and be configured to embody the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein. For example, the processor 202 may process information in the memory 204 to generate a third information / signal, and then transmit a wireless signal containing the third information / signal via the transceiver 206. Alternatively, the processor 202 may receive a wireless signal containing a fourth information / signal via the transceiver 206, and then store the information obtained from signal processing of the fourth information / signal in the memory 204. The memory 204 may be linked 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 executing some or all of the processes controlled by processor 202, or for executing the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein. Here, processor 202 and memory 204 are part of a communication modem / circuit / chip designed to embody wireless communication technology (e.g., LTE, NR). Transceiver 206 may be coupled with processor 202 and may transmit and / or receive radio signals via one or more antennas 208. Transceiver 206 may include a transmitter and / or receiver and may be used in combination with an RF unit. In this disclosure, wireless equipment may also mean a communication modem / circuit / chip.

[0496] The hardware elements of wireless devices 100 and 200 will be described in more detail below. However, one or more protocol layers can be embodied by one or more processors 102 and 202. For example, one or more processors 102 and 202 can embodied one or more layers (e.g., functional layers such as PHY, MAC, RLC, PDCP, RRC, and SDAP). One or more processors 102 and 202 can generate one or more PDUs (Protocol Data Units) and / or one or more SDUs (Service Data Units) by means of the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed in this document. One or more processors 102 and 202 can generate messages, control information, data, or information by means of the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed in this document. One or more processors 102, 202 can generate signals (e.g., baseband signals) containing PDUs, SDUs, messages, control information, data, or information by means of the functions, procedures, suggestions, and / or methods disclosed in this document and provide them to one or more transceivers 106, 206. One or more processors 102, 202 can receive signals (e.g., baseband signals) from one or more transceivers 106, 206 and acquire PDUs, SDUs, messages, control information, data, or information by means of the descriptions, functions, procedures, suggestions, methods, and / or operational flowcharts disclosed in this document.

[0497] One or more processors 102, 202 are referred to as controllers, microcontrollers, microprocessors, or microcomputers. One or more processors 102, 202 can be embodied by hardware, firmware, software, or a combination thereof. For example, one or more ASICs (Application Specific Integrated Circuits), one or more DSPs (Digital Signal Processors), one or more DSPDs (Digital Signal Processing Devices), one or more PLDs (Programmable Logic Devices), or one or more FPGAs (Field Programmable Gate Arrays) may be included in one or more processors 102, 202. The descriptions, functions, procedures, suggestions, methods, and / or operational flowcharts disclosed herein may be embodied using firmware or software, and the firmware or software may be embodied to include modules, procedures, functions, etc. The descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein may be implemented by one or more processors 102, 202, or stored in one or more memories 104, 204 and driven by one or more processors 102, 202, with firmware or software configured to execute them. The descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein may be implemented using firmware or software in the form of code, instructions and / or sets of instructions.

[0498] One or more memory units 104, 204 can be connected to one or more processors 102, 202 and can store various forms of data, signals, messages, information, programs, code, instructions, and / or commands. One or more memory units 104, 204 can consist of ROM, RAM, EPROM, flash memory, hard drives, registers, cache memory, computer read / store media, and / or combinations thereof. One or more memory units 104, 204 can be located inside and / or outside of one or more processors 102, 202. Furthermore, one or more memory units 104, 204 can be connected to one or more processors 102, 202 via various technologies such as wired or wireless connections.

[0499] One or more transceivers 106, 206 can transmit user data, control information, radio signals / channels, etc., as referred to in the methods and / or operational flowcharts, etc., described herein to one or more other devices. One or more transceivers 106, 206 can receive user data, control information, radio signals / channels, etc., as referred to in the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts, etc., disclosed herein from one or more other devices. For example, one or more transceivers 106, 206 can be connected to one or more processors 102, 202 to transmit and receive radio signals. For example, one or more processors 102, 202 can control one or more transceivers 106, 206 to transmit user data, control information or radio signals to one or more other devices. Also, one or more processors 102, 202 can control one or more transceivers 106, 206 to receive user data, control information or radio signals from one or more other devices. Furthermore, one or more transceivers 106, 206 can be connected to one or more antennas 108, 208 and configured to transmit and receive user data, control information, radio signals / channels, etc., as referred to in the descriptions, functions, procedures, suggestions, methods and / or operational flowcharts disclosed herein, via 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 received user data, control information, radio signals / channels, etc., from RF band signals to baseband signals for processing using one or more processors 102, 202. One or more transceivers 106, 206 can convert user data, control information, radio signals / channels, etc., processed using one or more processors 102, 202, from baseband signals to RF band signals. For this purpose, one or more transceivers 106, 206 may include (analog) oscillators and / or filters.

[0500] Figure 20 shows a signal processing circuit for a transmitted signal according to one embodiment of the present disclosure. The embodiment in Figure 20 can be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods and / or operations of the embodiments can be omitted.

[0501] Referring to Figure 20, 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. However, it is not limited to these, and the operation / function of Figure 20 can be performed by the processors 102, 202 and / or transceivers 106, 206 of Figure 19. The hardware elements of Figure 20 can be embodied by the processors 102, 202 and / or transceivers 106, 206 of Figure 19. For example, blocks 1010-1060 can be embodied by the processors 102, 202 of Figure 19. Also, blocks 1010-1050 can be embodied by the processors 102, 202 of Figure 19, and block 1060 can be embodied by the transceivers 106, 206 of Figure 19.

[0502] The codeword can be converted into a radio signal via the signal processing circuit 1000 in Figure 20. Here, the codeword is an encoded bit sequence of information blocks. The information blocks may include transmission blocks (e.g., UL-SCH transmission block, DL-SCH transmission block). The radio signal can be transmitted via various physical channels (e.g., PUSCH, PDSCH).

[0503] Specifically, the codeword can be converted into a scrambled bit sequence by the scrambler 1010. The scrambled sequence used for scrambling is generated based on an initialization value, which may include the ID information of the radio equipment. The scrambled bit sequence can be modulated into a modulated symbol sequence by the modulator 1020. The modulation scheme can 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 modulated symbol sequence can be mapped to one or more transmission layers by the layer mapper 1030. The modulated symbol of each transmission layer can be mapped to the corresponding antenna port (ra) by the precoder 1040 (precoding). The output z of the precoder 1040 is 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. The precoder 1040 can perform precoding after performing transform precoding (e.g., DFT transformation) on the complex modulation symbols. Alternatively, the precoder 1040 can perform precoding without performing transform precoding.

[0504] The 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 in the time domain (e.g., CP-OFDMA symbols, DFT-s-OFDMA symbols) and multiple subcarriers in the frequency domain. The signal generator 1060 generates a radio signal from the mapped modulation symbols, and the generated radio signal can be transmitted to other devices via each antenna. To this end, the signal generator 1060 may include an IFFT (Inverse Fast Fourier Transform) module, a CP (Cyclic Prefix) inserter, a DAC (Digital-to-Analog Converter), a frequency uplink converter, and the like.

[0505] In wireless equipment, the signal processing process for a received signal can be configured as the reverse of the signal processing processes 1010-1060 in Figure 20. For example, wireless equipment (e.g., 100, 200 in Figure 19) can receive wireless signals from an external source via an antenna port / transceiver. The received wireless signal can be converted into a baseband signal via a signal restorer. For this purpose, 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 to a codeword through a resource demapper process, a postcoding process, a demodulation process, and a descramble process. The codeword can be restored to the original information block through decoding. Therefore, a signal processing circuit (not shown) for a received signal may include a signal restorer, a resource demapper, a postcoder, a demodulator, a descrambler, and a decoder.

[0506] Figure 21 shows a wireless device according to one embodiment of the present disclosure. The wireless device can be implemented in various forms relating to use cases / services (see Figure 18). The embodiment in Figure 21 can 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.

[0507] Referring to Figure 21, the wireless devices 100 and 200 correspond to the wireless devices 100 and 200 in Figure 19 and can be composed of various elements, components, units, and / or modules. For example, the wireless devices 100 and 200 may include a communication unit 110, a control unit 120, a memory unit 130, and an additional element 140. The communication unit may include a communication circuit 112 and transceivers (etc.) 114. For example, the communication circuit 112 may include one or more processors 102, 202 and / or one or more memories 104, 204 in Figure 18. For example, the transceivers (etc.) 114 may include one or more transceivers 106, 206 and / or one or more antennas 108, 208 in Figure 19. The control unit 120 is electrically connected to the communication unit 110, the memory unit 130, and the additional element 140 and controls the various operations of the wireless device. For example, the control unit 120 can control the electrical / mechanical operation of the wireless device based on the program / code / instructions / information stored in the memory unit 130. The control unit 120 can also transmit the information stored in the memory unit 130 to an external device (e.g., another communication device) via a wireless / wired interface through the communication unit 110, or store information received from an external device (e.g., another communication device) via a wireless / wired interface through the communication unit 110 in the memory unit 130.

[0508] 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 the following: a power unit / battery, an input / output unit (I / O unit), a drive unit, and a computing unit. However, wireless devices can be embodied in forms such as robots (100a in Figure 18), vehicles (100b-1, 100b-2 in Figure 18), XR devices (100c in Figure 18), mobile devices (100d in Figure 18), home appliances (100e in Figure 18), IoT devices (100f in Figure 18), digital broadcasting terminals, hologram devices, public safety devices, MTC devices, medical devices, fintech devices (or financial devices), security devices, climate / environmental devices, AI servers / devices (400 in Figure 18), base stations (200 in Figure 18), and network nodes. Depending on the use-example / service, wireless devices may be mobile or used in a fixed location.

[0509] In Figure 21, the various elements, components, units / parts, and / or modules within the wireless devices 100 and 200 can be interconnected as a whole via a wired interface, or at least some of them can be connected wirelessly via the communication unit 110. For example, within the wireless devices 100 and 200, the control unit 120 and the communication unit 110 can be connected via a wired interface, and the control unit 120 and the first units (e.g., 130, 140) can be connected wirelessly via the communication unit 110. Furthermore, each element, component, unit / part, and / or module within the wireless devices 100 and 200 may further include one or more elements. For example, the control unit 120 may consist of a collection of one or more processors. For example, the control unit 120 may consist of a collection of a communication control processor, an application processor, an ECU (Electronic Control Unit), a graphics processing processor, a memory control processor, and so on. As another example, the memory unit 130 may consist of RAM (Random Access Memory), DRAM (Dynamic RAM), ROM (Read Only Memory), flash memory, volatile memory, non-volatile memory, and / or a combination thereof.

[0510] The following provides a more detailed explanation of the example shown in Figure 21, with reference to other drawings.

[0511] Figure 22 shows 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 glass), or a portable computer (e.g., a laptop computer). The portable device may be referred to as an MS (Mobile Station), UT (user terminal), MSS (Mobile Subscriber Station), SS (Subscriber Station), AMS (Advanced Mobile Station), or WT (Wireless terminal). The embodiment in Figure 22 can 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.

[0512] Referring to Figure 22, 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 composed of a part of the communication unit 110. Blocks 110-130 / 140a-140c correspond to blocks 110-130 / 140 in Figure 21, respectively.

[0513] The communication unit 110 can send 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 and perform various operations. The control unit 120 may include an AP (Application Processor). The memory unit 130 can store data / parameters / programs / code / instructions necessary to operate the portable device 100. The memory unit 130 can also 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 of the portable device 100 with other external devices. The interface unit 140b may include various ports for connection with external devices (e.g., audio input / output ports, video input / output ports). The input / output unit 140c can receive and output video information / signals, audio information / signals, data, and / or information input from the user. The input / output section 140c may include a camera, microphone, user input section, display section 140d, speaker and / or haptic module, etc.

[0514] For example, in the case of data communication, the input / output unit 140c acquires information / signals input from the user (e.g., touch, text, voice, image, video), and the acquired information / signals can be stored in the memory unit 130. The communication unit 110 converts the information / signals stored in memory into a radio signal and can transmit the converted radio signal directly to other radio devices or to a base station. Furthermore, after receiving a radio signal from another radio device or base station, the communication unit 110 can restore the received radio signal to its original information / signal. The restored information / signal is stored in the memory unit 130 and can then be output via the input / output unit 140c in various forms (e.g., text, voice, image, video, haptic).

[0515] [One aspect of the present invention] [Claim 1] It is a method, Step 1: The first device acquires first sensing data from the second device; The first device acquires second sensing data; The first device acquires information related to the event based on the second sensing data; and The first device determines whether the event is valid based on the first sensing data; A method comprising a system for managing at least one of the following: regional information, location information, or object information, wherein the first sensing data is provided. [Claim 2] The method according to claim 1, wherein the validity of the event is determined based on whether or not the first sensing data includes the information related to the event. [Claim 3] The method according to claim 2, further comprising the step of reporting the information relating to the event to the second device based on the determination that the event is valid; [Claim 4] The method according to claim 2, wherein the event is determined to be valid based on the fact that the first sensing data does not contain the information related to the event. [Claim 5] The method according to claim 2, wherein the event is determined to be valid based on the first sensing data including the information relating to the event, and on the event satisfying the update conditions for the event. [Claim 6] The method according to claim 5, wherein the update condition of the event is related to the timestamp in which the event occurred. [Claim 7] The method according to claim 6, wherein the renewal conditions of the event are further related to the validity period of the event. [Claim 8] The method according to claim 7, wherein the renewal condition of the event is further related to the expiration time of the event. [Claim 9] The method according to claim 8, wherein the event is an event related to a no-stop zone. [Claim 10] The method according to claim 8, wherein the system is an HD (high definition) map. [Claim 11] The method according to claim 10, wherein the HD map includes information related to smart pedestrian crossings. [Claim 12] The method according to claim 8, wherein the event is an event related to either the generation of a tollbooth bottleneck or the resolution of a tollbooth bottleneck. [Claim 13] The method according to claim 8, wherein the information relating to the object related to the first sensing data includes information relating to an autonomous delivery robot. [Claim 14] The first device, At least one transceiver; at least one processor; and The system comprises at least one memory connected to the at least one processor and storing instructions; Based on the fact that the instruction is executed by the at least one processor, the first device, First sensing data is obtained from the second device; Obtain second sensing data; Based on the second sensing data, information related to the event is obtained; and The system determines whether the event is valid or not based on the first sensing data; The first sensing data includes a first device, which includes a system for managing at least one of regional information, location information, or object information. [Claim 15] Processing apparatus, at least one processor; and The system comprises at least one memory connected to the at least one processor and storing instructions; Based on the fact that the instruction is executed by the at least one processor, the first device, First sensing data is obtained from the second device; Obtain second sensing data; Based on the second sensing data, information related to the event is obtained; and The system determines whether the event is valid or not based on the first sensing data; The first sensing data includes a processing device that manages at least one of the following: regional information, location information, or object information.

Claims

1. It is a method, Step 1: The first device acquires first sensing data from the second device; The first device acquires second sensing data; The first device acquires information related to the event based on the second sensing data; and The first device determines whether the event is valid based on the first sensing data; The method includes a system for managing at least one of the following: regional information, location information, or object information.

2. The method according to claim 1, wherein the effectiveness of the event is determined based on whether or not the first sensing data includes the information related to the event.

3. The method of claim 2, further comprising the step of reporting the information relating to the event to the second device based on the determination that the event is valid.

4. The method according to claim 2, wherein the event is determined to be valid based on the fact that the first sensing data does not contain the information related to the event.

5. The method according to claim 2, wherein the event is determined to be valid based on the first sensing data including the information relating to the event, and based on the event satisfying the update conditions for the event.

6. The method according to claim 5, wherein the update condition of the event is related to the timestamp in which the event occurred.

7. The method according to claim 6, wherein the renewal conditions of the event are further related to the validity period of the event.

8. The method according to claim 7, wherein the update condition for the event is further related to the expiration time of the event.

9. The method according to claim 8, wherein the event is an event related to a no-stop zone.

10. The method according to claim 8, wherein the system is an HD (high definition) map.

11. The method according to claim 10, wherein the HD map includes information related to smart pedestrian crossings.

12. The method according to claim 8, wherein the event is an event related to either the generation of a tollbooth bottleneck or the resolution of a tollbooth bottleneck.

13. The method according to claim 8, wherein the information relating to the object related to the first sensing data includes information relating to an autonomous delivery robot.

14. The first device, At least one transceiver; at least one processor; and The system comprises at least one memory connected to the at least one processor and storing instructions; Based on the fact that the instruction is executed by the at least one processor, the first device is configured to: First sensing data is obtained from the second device; Obtain second sensing data; Based on the second sensing data, information related to the event is obtained; and The system determines whether the event is valid or not based on the first sensing data; The first sensing data includes a first device, which includes a system for managing at least one of regional information, location information, or object information.

15. Processing apparatus, at least one processor; and The system comprises at least one memory connected to the at least one processor and storing instructions; Based on the fact that the instruction is executed by the at least one processor, the first device, First sensing data is obtained from the second device; Obtain second sensing data; Based on the second sensing data, information related to the event is obtained; and The system determines whether the event is valid or not based on the first sensing data; The first sensing data includes a processing device that manages at least one of regional information, location information, or object information.

Images