Device and method for acquiring channel information in wireless communication system

Abstract

The present disclosure is for acquiring channel information in a wireless communication system. An operation method of a terminal may comprise the steps of: receiving a first signal; generating information related to a channel by using the first signal; transmitting a second signal including feedback information related to the channel; and receiving a third signal transmitted on the basis of the feedback information. The feedback information includes information related to the distance between channel information and each portion of the first signal, and the first signal may have a structure supporting at least one operation among transferring information to another terminal and sensing an object.

Description

Device and method for obtaining channel information in a wireless communication system

[0001] The following description relates to a wireless communication system, and to a device and method for obtaining channel information in a wireless communication system.

[0002] Wireless access systems are widely deployed to provide various types of communication services, such as voice and data. Typically, wireless access systems are multiple access systems that support communications with multiple users by sharing available system resources (e.g., bandwidth, transmission power). Examples of multiple access systems include code division multiple access (CDMA), frequency division multiple access (FDMA), time division multiple access (TDMA), orthogonal frequency division multiple access (OFDMA), and single-carrier frequency division multiple access (SC-FDMA).

[0003] In particular, as numerous communication devices demand greater communication capacity, enhanced mobile broadband (eMBB) communication technologies are being proposed, improving upon existing radio access technology (RAT). Furthermore, massive machine type communications (mMTC), which connects multiple devices and objects to provide diverse services anytime and anywhere, as well as communication systems that consider reliability and latency-sensitive services / user equipment (UE), are being proposed. Various technological configurations are being proposed for these solutions.

[0004] The present disclosure can provide a device and method for effectively feeding back and reconstructing channel information in a wireless communication system.

[0005] The present disclosure may provide a device and method for feeding back channel information using a multi-functional signal in a wireless communication system.

[0006] The present disclosure may provide a device and method for feeding back channel information using a space-time (ST) waveform in a wireless communication system.

[0007] The present disclosure may provide a device and method for generating channel feedback information without prior knowledge of a signal in a wireless communication system.

[0008] The present disclosure may provide a device and method for generating and transmitting information related to a distance for a transmission signal and channel information in a wireless communication system.

[0009] The present disclosure may provide a device and method for generating and transmitting distance information for a channel based on portions of a signal in a wireless communication system.

[0010] The present disclosure may provide a device and method for determining channel information using distance parameters for a channel in a wireless communication system.

[0011] The present disclosure may provide a device and method for determining weights for combining portions of a transmission signal based on feedback information about the transmission signal in a wireless communication system.

[0012] The present disclosure may provide a device and method for combining portions of a transmission signal using weights determined based on feedback information about the transmission signal in a wireless communication system.

[0013] The present disclosure may provide a device and method for determining channel information based on a combination of portions of a transmission signal in a wireless communication system.

[0014] The present disclosure may provide a device and method for estimating a channel using a synchronization signal in a wireless communication system.

[0015] The present disclosure may provide a device and method for supporting channel estimation, information transmission, and radar sensing using a single signal in a wireless communication system.

[0016] The technical objectives to be achieved in the present disclosure are not limited to those mentioned above, and other technical tasks not mentioned can be considered by a person having ordinary skill in the technical field to which the technical configuration of the present disclosure is applied from the embodiments of the present disclosure described below.

[0017] As an example of the present disclosure, a method of operating a terminal in a wireless communication system may include the steps of receiving a first signal, generating channel-related information using the first signal, transmitting a second signal including feedback information related to the channel, and receiving a third signal transmitted based on the feedback information. The feedback information includes information related to a distance between each of portions of the first signal and channel information, and the first signal may have a structure that supports at least one of information transmission to another terminal and sensing of an object.

[0018] As an example of the present disclosure, a method of operating a base station in a wireless communication system may include the steps of transmitting a first signal, receiving a second signal from a terminal including feedback information related to a channel generated using the first signal, determining channel information based on the feedback information, and transmitting a third signal based on the channel information. The feedback information includes information related to a distance between each of portions of the first signal and the channel information, and the first signal may have a structure that supports at least one of information transmission to another terminal and sensing of an object.

[0019] As an example of the present disclosure, in a wireless communication system, a terminal includes a transceiver and a processor connected to the transceiver, wherein the processor receives a first signal, generates information related to a channel using the first signal, transmits a second signal including feedback information related to the channel, and controls to receive a third signal transmitted based on the feedback information, wherein the feedback information includes information related to a distance between each of portions of the first signal and channel information, and the first signal may have a structure that supports at least one operation of transmitting information to another terminal and sensing an object.

[0020] As an example of the present disclosure, in a wireless communication system, a base station includes a transceiver and a processor connected to the transceiver, wherein the processor transmits a first signal, receives a second signal including feedback information related to a channel generated using the first signal from a terminal, determines channel information based on the feedback information, and controls transmission of a third signal based on the channel information, wherein the feedback information includes information related to a distance between each of portions of the first signal and the channel information, and the first signal may have a structure that supports at least one operation of transmitting information to another terminal and sensing an object.

[0021] As an example of the present disclosure, a communication device includes at least one processor, and at least one computer memory coupled to the at least one processor and storing instructions that, when executed by the at least one processor, direct operations, wherein the operations may include: receiving a first signal; generating information related to a channel using the first signal; transmitting a second signal including feedback information related to the channel; and receiving a third signal transmitted based on the feedback information. The feedback information includes information related to a distance between each of portions of the first signal and channel information, and the first signal may have a structure that supports at least one of transmitting information to another communication device and sensing an object.

[0022] As an example of the present disclosure, a non-transitory computer-readable medium storing at least one instruction includes at least one instruction executable by a processor, the at least one instruction controlling a device to receive a first signal, generate information related to a channel using the first signal, transmit a second signal including feedback information related to the channel, and receive a third signal transmitted based on the feedback information, wherein the feedback information includes information related to a distance between each of portions of the first signal and channel information, and the first signal may have a structure that supports at least one of transmitting information to another device and sensing an object.

[0023] The above-described aspects of the present disclosure are only some of the preferred embodiments of the present disclosure, and various embodiments reflecting the technical features of the present disclosure can be derived and understood by a person having ordinary skill in the art based on the detailed description of the present disclosure to be described below.

[0024] The following effects may be achieved by embodiments based on the present disclosure.

[0025] According to the present disclosure, channel information can be effectively obtained.

[0026] The effects that can be obtained from the embodiments of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly derived and understood by those skilled in the art to which the technical configuration of the present disclosure is applied, from the description of the embodiments of the present disclosure below. In other words, unintended effects resulting from implementing the configuration described in the present disclosure can also be derived from the embodiments of the present disclosure by those skilled in the art.

[0027] The accompanying drawings are intended to aid understanding of the present disclosure and, together with detailed descriptions, may provide embodiments of the present disclosure. However, the technical features of the present disclosure are not limited to specific drawings, and the features disclosed in each drawing may be combined with each other to form new embodiments. Reference numerals in each drawing may indicate structural elements.

[0028] Figure 1 illustrates an example of a communication system applicable to the present disclosure.

[0029] FIG. 2 illustrates an example of a wireless device applicable to the present disclosure.

[0030] FIG. 3 illustrates a method for processing a transmission signal applicable to the present disclosure.

[0031] FIG. 4 illustrates an example of a communication structure that can be provided in a 6G (6th generation) system applicable to the present disclosure.

[0032] Figure 4 illustrates a communication procedure between a terminal and a base station applicable to the present disclosure.

[0033] FIG. 5 illustrates an example of a communication structure that can be provided in a 6G (6th generation) system applicable to the present disclosure.

[0034] Figure 6 illustrates an electromagnetic spectrum applicable to the present disclosure.

[0035] Figure 7 illustrates a THz communication method applicable to the present disclosure.

[0036] FIG. 8 illustrates a THz wireless communication transceiver applicable to the present disclosure.

[0037] FIG. 9 illustrates a THz signal generation method applicable to the present disclosure.

[0038] FIG. 10 illustrates a wireless communication transceiver applicable to the present disclosure.

[0039] Figure 11 illustrates a transmitter structure applicable to the present disclosure.

[0040] Figure 12 illustrates a modulator structure applicable to the present disclosure.

[0041] FIG. 13 illustrates an example of an operating environment of a wireless communication system according to one embodiment of the present disclosure.

[0042] FIG. 14 illustrates an example of a functional structure of a base station according to one embodiment of the present disclosure.

[0043] FIG. 15 illustrates an example of a functional structure of a terminal according to one embodiment of the present disclosure.

[0044] FIG. 16 illustrates an example of a waveform structure according to one embodiment of the present disclosure.

[0045] FIG. 17 illustrates an example of a structure of a sub-waveform according to one embodiment of the present disclosure.

[0046] FIG. 18 illustrates an example of a subspace spanned by sub-waveforms according to one embodiment of the present disclosure.

[0047] FIG. 19 illustrates channel information feedback of a base station and a terminal according to one embodiment of the present disclosure.

[0048] FIG. 20 illustrates an example of a procedure for feeding back channel information according to one embodiment of the present disclosure.

[0049] FIG. 21 illustrates an example of a procedure for obtaining channel information according to one embodiment of the present disclosure.

[0050] FIG. 22 illustrates an example of a procedure for feeding back channel information according to one embodiment of the present disclosure.

[0051] FIG. 23 illustrates an example of a procedure for obtaining channel information according to one embodiment of the present disclosure.

[0052] Figures 24a to 24c illustrate the performance of a channel feedback technique according to embodiments of the present disclosure.

[0053] The following embodiments combine the components and features of the present disclosure in a predetermined form. Each component or feature may be considered optional unless explicitly stated otherwise. Each component or feature may be implemented without being combined with other components or features. Furthermore, some components and / or features may be combined to form embodiments of the present disclosure. The order of operations described in the embodiments of the present disclosure may be changed. Some components or features of one embodiment may be included in another embodiment or may be replaced with corresponding components or features of another embodiment.

[0054] In the description of the drawings, procedures or steps that may obscure the gist of the present disclosure are not described, and procedures or steps that can be understood by a person skilled in the art are also not described.

[0055] Throughout the specification, when a part is said to "comprising" or "including" a component, this does not mean that other components may be included, but rather that other components may be excluded, unless otherwise specifically stated. In addition, terms such as "...part," "...unit," and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware, software, or a combination of hardware and software. In addition, the words "a" or "an," "one," "the," and similar related words may be used in the context of describing the present disclosure (especially in the context of the claims below) to include both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context.

[0056] Embodiments of the present disclosure described herein focus on the data transmission and reception relationship between a base station and a mobile station. Here, the base station is understood as a terminal node of a network that directly communicates with the mobile station. Certain operations described herein as being performed by the base station may, in some cases, be performed by an upper node of the base station.

[0057] That is, in a network consisting of multiple network nodes including a base station, various operations performed for communication with a mobile station may be performed by the base station or other network nodes other than the base station. In this case, the term 'base station' may be replaced by terms such as fixed station, Node B, eNB (eNode B), gNB (gNode B), ng-eNB, advanced base station (ABS), or access point.

[0058] Additionally, in the embodiments of the present disclosure, the term terminal may be replaced with terms such as user equipment (UE), mobile station (MS), subscriber station (SS), mobile subscriber station (MSS), mobile terminal, or advanced mobile station (AMS).

[0059] Additionally, a transmitter refers to a fixed and / or mobile node that provides data or voice services, and a receiver refers to a fixed and / or mobile node that receives data or voice services. Therefore, for uplink, a mobile station can be the transmitter, and a base station can be the receiver. Similarly, for downlink, a mobile station can be the receiver, and a base station can be the transmitter.

[0060] Embodiments of the present disclosure may be supported by standard documents disclosed in at least one of wireless access systems, such as IEEE 802.xx system, 3rd Generation Partnership Project (3GPP) system, 3GPP Long Term Evolution (LTE) system, 3GPP 5th generation (5G) NR (New Radio) system and 3GPP2 system, and in particular, embodiments of the present disclosure may be supported by 3GPP TS (technical specification) 38.211, 3GPP TS 38.212, 3GPP TS 38.213, 3GPP TS 38.321 and 3GPP TS 38.331 documents.

[0061] Furthermore, the embodiments of the present disclosure can be applied to other wireless access systems and are not limited to the systems described above. For example, they can be applied to systems implemented after the 3GPP 5G NR system and are not limited to a specific system.

[0062] That is, obvious steps or parts not described in the embodiments of the present disclosure can be explained by referring to the above documents. In addition, all terms disclosed in this document can be explained by the above standard documents.

[0063] Hereinafter, preferred embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. The detailed description set forth below, together with the accompanying drawings, is intended to illustrate exemplary embodiments of the present disclosure and is not intended to represent the only embodiments in which the technical configurations of the present disclosure may be implemented.

[0064] Additionally, specific terms used in the embodiments of the present disclosure are provided to aid in understanding of the present disclosure, and the use of such specific terms may be changed to other forms without departing from the technical spirit of the present disclosure.

[0065] The following technology can be applied to various wireless access 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).

[0066] For clarity, the following description is based on 3GPP communication systems (e.g., LTE, NR, etc.), but the technical spirit of the present disclosure is not limited thereto. LTE may refer to technology after 3GPP TS 36.xxx Release 8. Specifically, LTE technology after 3GPP TS 36.xxx Release 10 may be referred to as LTE-A, and LTE technology after 3GPP TS 36.xxx Release 13 may be referred to as LTE-A pro. 3GPP NR may refer to technology after TS 38.xxx Release 15. 3GPP 6G may refer to technology after TS Release 17 and / or Release 18. "xxx" refers to a standard document detail number. LTE / NR / 6G may be collectively referred to as a 3GPP system.

[0067] For background information, terms, abbreviations, etc. used in this disclosure, reference may be made to standard documents published prior to this disclosure. For example, reference may be made to standard documents 36.xxx and 38.xxx.

[0068] Communication system applicable to the present disclosure

[0069] Although not limited thereto, the various descriptions, functions, procedures, proposals, methods and / or operational flowcharts of the present disclosure disclosed in this document may be applied to various fields requiring wireless communication / connectivity (e.g., 5G) between devices.

[0070] Hereinafter, more specific examples will be provided with reference to the drawings. In the drawings / descriptions below, the same drawing reference numerals may represent identical or corresponding hardware blocks, software blocks, or functional blocks, unless otherwise described.

[0071] Figure 1 illustrates an example of a communication system applied to the present disclosure.

[0072] Referring to FIG. 1, a communication system (100) applied to the present disclosure includes a wireless device, a base station, and a network. Here, the wireless device refers to a device that performs communication using a wireless access technology (e.g., LTE, LTE-A, LTE-A pro, NR, 5G, 5G-A, 6G) and may be referred to as a communication / wireless / 5G device. Although not limited thereto, the wireless device may include a robot (100a), a vehicle (100b-1, 100b-2), an XR (extended reality) device (100c), a hand-held device (100d), a home appliance (100e), an IoT (Internet of Things) device (100f), and an AI (artificial intelligence) device / server (100g). For example, the vehicle may include a vehicle equipped with a wireless communication function, an autonomous vehicle, a vehicle capable of performing vehicle-to-vehicle communication, etc. Here, the vehicles (100b-1, 100b-2) may include unmanned aerial vehicles (UAVs) (e.g., drones). The XR devices (100c) include augmented reality (AR) / virtual reality (VR) / mixed reality (MR) devices, and may be implemented in the form of head-mounted devices (HMDs), head-up displays (HUDs) installed in vehicles, televisions, smartphones, computers, wearable devices, home appliances, digital signage, vehicles, robots, etc. The portable devices (100d) may include smartphones, smart pads, wearable devices (e.g., smartwatches, smart glasses), computers (e.g., laptops, etc.), etc. The home appliances (100e) may include TVs, refrigerators, washing machines, etc. The IoT devices (100f) may include sensors, smart meters, etc.For example, the base station (120) and the network (130) may also be implemented as wireless devices, and a specific wireless device (120a) may act as a base station / network node to other wireless devices.

[0073] Wireless devices (100a to 100f) can be connected to a network (130) via a base station (120). AI technology can be applied to the wireless devices (100a to 100f), and the wireless devices (100a to 100f) can be connected to an AI server (100g) via a network (130). The network (130) can be configured using a 3G network, a 4G (e.g., LTE) network, a 5G (e.g., NR), or a 6G network. The wireless devices (100a to 100f) can communicate with each other via the base station (120) / network (130), but can also communicate directly (e.g., sidelink communication) without going through the base station (120) / network (130). For example, vehicles (100b-1, 100b-2) can communicate directly (e.g., V2V (vehicle to vehicle) / V2X (vehicle to everything) communication). Additionally, an IoT device (100f) (e.g., a sensor) can communicate directly with another IoT device (e.g., a sensor) or another wireless device (100a to 100f).

[0074] Wireless communication / connection (150a, 150b, 150c) can be established between wireless devices (100a to 100f) / base stations (120), and base stations (120) / base stations (120). Here, the wireless communication / connection can be established through various wireless access technologies such as uplink / downlink communication (150a), sidelink communication (150b) (or D2D communication), and base station-to-base station communication (150c) (e.g., relay, IAB (integrated access backhaul)). Through the wireless communication / connection (150a, 150b, 150c), the wireless device and base station / wireless device, and base stations and base stations can transmit / receive wireless signals to / from each other. For example, the wireless communication / connection (150a, 150b, 150c) can transmit / receive signals through various physical channels. To this end, based on various proposals of the present disclosure, at least some of various configuration information setting processes for transmitting / receiving wireless signals, various signal processing processes (e.g., channel encoding / decoding, modulation / demodulation, resource mapping / demapping, etc.), resource allocation processes, etc. may be performed.

[0075] Devices applicable to the present disclosure

[0076] FIG. 2 illustrates an example of a wireless device applicable to the present disclosure.

[0077] Referring to FIG. 2, the wireless device (200) can transmit and receive wireless signals via various wireless access technologies (e.g., LTE, LTE-A, LTE-A pro, NR, 5G, 5G-A, 6G). The wireless device (200) includes at least one processor (202) and at least one memory (204), and may additionally include at least one transceiver (206) and / or at least one antenna (208).

[0078] The processor (202) controls the memory (204) and / or the transceiver (206), and may be configured to implement the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. For example, the processor (202) may process information in the memory (204) to generate first information / signal, and then transmit a wireless signal including the first information / signal via the transceiver (206). In addition, the processor (202) may receive a wireless signal including second information / signal via the transceiver (206), and then store information obtained from signal processing of the second information / signal in the memory (204). The memory (204) may be connected to the processor (202) and may store various information related to the operation of the processor (202). For example, the memory (204) may store software code including instructions for performing some or all of the processes controlled by the processor (202), or for performing the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed herein. Here, the processor (202) and the memory (204) may be part of a communication modem / circuit / chip designed to implement wireless communication technology. The transceiver (206) may be connected to the processor (202) and may transmit and / or receive wireless signals via at least one antenna (208). The transceiver (206) may include a transmitter and / or a receiver. The transceiver (206) may be used interchangeably with an RF (radio frequency) unit. In the present disclosure, a wireless device may also mean a communication modem / circuit / chip.

[0079] Hereinafter, the hardware elements of the wireless device (200) will be described in more detail. Although not limited thereto, at least one protocol layer may be implemented by at least one processor (202). For example, at least one processor (202) may implement at least one layer (e.g., a functional layer such as physical (PHY), media access control (MAC), radio link control (RLC), packet data convergence protocol (PDCP), radio resource control (RRC), and service data adaptation protocol (SDAP)). At least one processor (202) may generate at least one Protocol Data Unit (PDU) and / or at least one Service Data Unit (SDU) according to the descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document. At least one processor (202) may generate a message, control information, data, or information according to the descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document. At least one processor (202) can generate a signal (e.g., a baseband signal) including a PDU, an SDU, a message, control information, data or information according to the functions, procedures, proposals and / or methods disclosed in this document, and provide the signal to at least one transceiver (206). At least one processor (202) can receive a signal (e.g., a baseband signal) from at least one transceiver (206) and obtain the PDU, SDU, message, control information, data or information according to the descriptions, functions, procedures, proposals, methods and / or operational flowcharts disclosed in this document.

[0080] At least one processor (202) may be referred to as a controller, a microcontroller, a microprocessor, or a microcomputer. The at least one processor (202) may be implemented by hardware, firmware, software, or a combination thereof. For example, at least one application specific integrated circuit (ASIC), at least one digital signal processor (DSP), at least one digital signal processing device (DSPD), at least one programmable logic device (PLD), or at least one field programmable gate array (FPGA) may be included in the at least one processor (202). The descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document may be implemented using firmware or software, and the firmware or software may be implemented to include modules, procedures, functions, etc. The descriptions, functions, procedures, proposals, methods, and / or operation flowcharts disclosed in this document may be included in the at least one processor (202), or may be stored in at least one memory (204) and driven by the at least one processor (202). The descriptions, functions, procedures, suggestions, methods and / or flowcharts disclosed in this document may be implemented using firmware or software in the form of code, instructions and / or sets of instructions.

[0081] At least one memory (204) can be connected to at least one processor (202) and can store various forms of data, signals, messages, information, programs, codes, instructions and / or commands. The at least one memory (204) can be configured as a read only memory (ROM), a random access memory (RAM), an erasable programmable read only memory (EPROM), a flash memory, a hard drive, a register, a cache memory, a computer readable storage medium and / or a combination thereof. The at least one memory (204) can be located internally and / or externally to the at least one processor (202). In addition, the at least one memory (204) can be connected to the at least one processor (202) via various technologies such as a wired or wireless connection.

[0082] At least one transceiver (206) can transmit user data, control information, wireless signals / channels, etc., mentioned in the methods and / or flowcharts of this document to at least one other device. At least one transceiver (206) can receive user data, control information, wireless signals / channels, etc. mentioned in the descriptions, functions, procedures, proposals, methods and / or flowcharts disclosed in this document from at least one other device. For example, at least one transceiver (206) can be connected to at least one processor (202) and can transmit and receive wireless signals. For example, at least one processor (202) can control at least one transceiver (206) to transmit user data, control information, or wireless signals to at least one other device. Furthermore, at least one processor (202) can control at least one transceiver (206) to receive user data, control information, or wireless signals from at least one other device. In addition, at least one transceiver (206) may be connected to at least one antenna (208), and at least one transceiver (206) may be configured to transmit and receive user data, control information, wireless signals / channels, etc. mentioned in the descriptions, functions, procedures, proposals, methods and / or operation flowcharts disclosed in this document through at least one antenna (208). In this document, at least one antenna may be a plurality of physical antennas or a plurality of logical antennas (e.g., antenna ports). At least one transceiver (206) may convert the received wireless signals / channels, etc. from RF band signals to baseband signals in order to process the received user data, control information, wireless signals / channels, etc. using at least one processor (202). At least one transceiver (206) may convert the processed user data, control information, wireless signals / channels, etc. from baseband signals to RF band signals using at least one processor (202).For this purpose, at least one transceiver (206) may include an (analog) oscillator and / or filter.

[0083] The components of the wireless device described with reference to FIG. 2 may be referred to by different terms in terms of functionality. For example, the processor (202) may be referred to as a control unit, the transceiver (206) as a communication unit, and the memory (204) as a storage unit. In some cases, the communication unit may be used to mean at least a portion of the processor (202) and the transceiver (206).

[0084] The structure of the wireless device described with reference to FIG. 2 can be understood as the structure of at least a portion of various devices. For example, the structure of the wireless device illustrated in FIG. 2 can be at least a portion of various devices described with reference to FIG. 1 (e.g., a robot (100a), a vehicle (100b-1, 100b-2), an XR device (100c), a portable device (100d), a home appliance (100e), an IoT device (100f), an AI device / server (100g)). Furthermore, according to various embodiments, in addition to the components illustrated in FIG. 2, the device may further include other components.

[0085] For example, the device may be a portable device such as a smartphone, a smart pad, a wearable device (e.g., a smart watch, smart glasses), or a portable computer (e.g., a laptop, etc.). In this case, the device may further include at least one of a power supply unit that supplies power and includes a wired / wireless charging circuit, a battery, etc., an interface unit that includes at least one port for connection with another device (e.g., an audio input / output port, a video input / output port), and an input / output unit for inputting and outputting image information / signals, audio information / signals, data, and / or information input from a user.

[0086] For example, the device may be a mobile device such as a mobile robot, a vehicle, a train, an aerial vehicle (AV), a ship, etc. In this case, the device may further include at least one of a driving unit including at least one of an engine, a motor, a power train, wheels, brakes, and a steering unit of the device, a power supply unit including a wired / wireless charging circuit, a battery, etc. that supplies power, a sensor unit that senses status information, environmental information, and user information of the device or its surroundings, an autonomous driving unit that performs functions such as path maintenance, speed control, and destination setting, and a position measurement unit that obtains location information of the mobile device through a global positioning system (GPS) and various sensors.

[0087] For example, the device may be an XR device such as an HMD, a head-up display (HUD) installed in a vehicle, a television, a smartphone, a computer, a wearable device, a home appliance, a digital signage, a vehicle, a robot, etc. In this case, the device may further include at least one of a power supply unit that supplies power and includes a wired / wireless charging circuit, a battery, etc., an input / output unit that obtains control information, data, etc. from the outside and outputs the generated XR object, and a sensor unit that senses status information, environmental information, and user information of the device or the surroundings of the device.

[0088] For example, the device may be a robot that can be classified into industrial, medical, household, military, etc. types depending on the purpose or field of use. In this case, the device may further include at least one of a sensor unit that senses status information, environmental information, and user information of the device or its surroundings, and a driving unit that performs various physical actions, such as moving the robot joints.

[0089] For example, the device may be an AI device such as a TV, a projector, a smartphone, a PC, a laptop, a digital broadcasting terminal, a tablet PC, a wearable device, a set-top box (STB), a radio, a washing machine, a refrigerator, digital signage, a robot, a vehicle, etc. In this case, the device may further include at least one of an input unit that acquires various types of data from the outside, an output unit that generates output related to sight, hearing, or touch, a sensor unit that senses status information, environmental information, and user information of the device or its surroundings, and a training unit that trains a model composed of an artificial neural network using learning data.

[0090] The structure of the wireless device illustrated in FIG. 2 may be understood as a part of a RAN node (e.g., base station, DU, RU, RRㅗ, etc.). That is, the device illustrated in FIG. 2 may be a RAN node. In this case, the device may further include a wired transceiver for front haul and / or back haul communication. However, if the front haul and / or back haul communication is based on wireless communication, at least one transceiver (206) illustrated in FIG. 2 may be used for front haul and / or back haul communication, and a wired transceiver may not be included.

[0091] FIG. 3 illustrates a method for processing a transmission signal applicable to the present disclosure. For example, the transmission signal may be processed by a signal processing circuit. At this time, the signal processing circuit (300) may include a scrambler (310), a modulator (320), a layer mapper (330), a precoder (340), a resource mapper (350), and a signal generator (360). At this time, as an example, the operations / functions of FIG. 3 may be performed in the processor (202) and / or the transceiver (206) of FIG. 2. Furthermore, as an example, the hardware elements of FIG. 3 may be implemented in the processor (202) and / or the transceiver (206) of FIG. 2. As an example, blocks 310 to 360 may be implemented in the processor (202) of FIG. 2. Additionally, blocks 310 to 350 may be implemented in the processor (202) of FIG. 2, and block 360 may be implemented in the transceiver (206) of FIG. 2, and are not limited to the above-described embodiment.

[0092] The codeword can be converted into a wireless signal through the signal processing circuit (300) of FIG. 3. Here, the codeword is an encoded bit sequence of an information block. The information block may include a transport block (e.g., a UL-SCH transport block, a DL-SCH transport block). The wireless signal may be transmitted through various physical channels (e.g., a PUSCH, a PDSCH). Specifically, the codeword can be converted into a bit sequence scrambled by a scrambler (310). The scramble sequence used for scrambling is generated based on an initialization value, and the initialization value may include ID information of the wireless device, etc. The scrambled bit sequence can be modulated into a modulation symbol sequence by a modulator (320). The modulation scheme may include pi / 2-binary phase shift keying (pi / 2-BPSK), m-phase shift keying (m-PSK), m-quadrature amplitude modulation (m-QAM), etc.

[0093] A complex modulation symbol sequence can be mapped to at least one transmission layer by a layer mapper (330). The modulation symbols of each transmission layer can be mapped to corresponding antenna port(s) by a precoder (340). The output z of the precoder (340) can be obtained by multiplying the output y of the layer mapper (330) by a precoding matrix W of NХM, where N is the number of antenna ports and M is the number of transmission layers. Here, the precoder (340) can perform precoding after performing transform precoding (e.g., discrete Fourier transform (DFT) transform) on the complex modulation symbols. Additionally, the precoder (340) can perform precoding without performing transform precoding.

[0094] The resource mapper (350) can map modulation symbols of each antenna port to time-frequency resources. The time-frequency resources can include multiple symbols (e.g., CP-OFDMA symbols, DFT-s-OFDMA symbols) in the time domain and multiple subcarriers in the frequency domain. The signal generator (360) generates a wireless signal from the mapped modulation symbols, and the generated wireless signal can be transmitted to another device through each antenna. To this end, the signal generator (360) can include an inverse fast Fourier transform (IFFT) module, a cyclic prefix (CP) inserter, a digital-to-analog converter (DAC), a frequency uplink converter, and the like.

[0095] The signal processing process for a received signal in a wireless device may be configured in reverse order of the signal processing process (310 to 360) of FIG. 3. For example, a wireless device (e.g., 200 of FIG. 2) may receive a wireless signal from the outside through an antenna port / transceiver. The received wireless signal may be converted into a baseband signal through 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. Thereafter, the baseband signal may be restored to a codeword through a resource demapper process, a postcoding process, a demodulation process, and a descrambling process. The codeword may 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.

[0096] Figure 4 illustrates a communication procedure between a terminal and a base station applicable to the present disclosure. Figure 4 illustrates operations of a terminal (410) and a base station (420) transmitting and / or receiving data and operations performed prior thereto.

[0097] Referring to FIG. 4, in step 401, the terminal (410) and the base station (420) perform synchronization. For example, the terminal (410) performs an initial cell search operation. Specifically, the terminal (410) can detect at least one synchronization signal transmitted from the base station (420) according to a predefined rule. Here, the synchronization signal can include multiple synchronization signals classified according to structure or purpose (e.g., primary synchronization signal, secondary synchronization signal). Through this, the terminal (410) can check the boundary of the frame, subframe, slot, and / or symbol of the base station (420) and obtain information about the base station (420) (e.g., cell identifier).

[0098] In step 403, the terminal (410) obtains system information transmitted from the base station (420). The system information is information related to the properties, characteristics, and / or capabilities of the base station (420) required to access the base station (420) and use the service, and may be classified according to the content (e.g., whether it is essential for access), transmission structure (e.g., channel used, whether provided on-demand), etc., and may be classified into, for example, a master information block (MIB) and a system information block (SIB). If necessary, the terminal (410) may transmit a signal requesting system information before receiving the system information. However, the request and provision of the system information may be performed after the random access procedure described below.

[0099] In step 405, the terminal (410) and the base station (420) perform a random access procedure. The terminal (410) may transmit and / or receive at least one message (e.g., a random access preamble, a random access response (RAR) message, etc.) for the random access procedure based on information related to the random access channel of the base station (420) obtained through system information (e.g., channel position, channel structure, supported preamble structure, etc.). For example, the terminal (410) may transmit a preamble (e.g., MSG1) through the random access channel, receive an RAR message (e.g., MSG2), transmit a message (e.g., MSG3) including information related to the terminal (410) (e.g., identification information) to the base station (420) using scheduling information included in the RAR message, and receive a message (e.g., MSG4) for contention resolution and / or connection establishment. As another example, MSG1 and MSG3 may be sent and received as one message, or MSG2 and MSG4 may be sent and received as one message.

[0100] In step 407, the terminal (410) and the base station (420) perform signaling of control information. Here, the control information may be defined in various layers, such as a layer that controls a connection (e.g., a radio resource control (RRC) layer), a layer that handles mapping between logical channels and transport channels (e.g., a media access control (MAC) layer), and a layer that handles physical channels (e.g., a physical (PHY) layer). For example, the terminal (410) and the base station (420) may perform at least one of signaling for establishing a connection, signaling for determining settings related to communication, and signaling for indicating allocated resources.

[0101] In step 409, the terminal (410) and the base station (420) transmit and / or receive data. In other words, the terminal (410) and the base station (420) can process, transmit, and / or receive data based on the signaling of the control information. For example, when transmitting data, the terminal (410) or the base station (420) can perform at least one of channel encoding, rate matching, scrambling, constellation mapping, layer mapping, waveform modulation, antenna mapping, and resource mapping on the information bits. Conversely, when receiving data, the terminal (410) or the base station (420) can perform at least one of signal extraction from resources, waveform demodulation for each antenna, signal arrangement considering layer mapping, constellation demapping, descrambling, and channel decoding.

[0102] 6G communication systems and core implementation technologies of 6G systems

[0103] The 5G system defines various operating bands within FR1 (frequency range 1), which covers 410 MHz to 7125 MHz, and FR2 (frequency range 2), which covers 24,250 MHz to 71,000 MHz. Various frequencies are being discussed as operating bands for the subsequent 6G system, and the use of higher frequencies than 5G systems is also being considered for wider bandwidth and higher transmission speeds. One such band is the THz (terahertz) frequency band, which covers approximately 100 GHz to 10 THz. The THz frequency band is a band that has both the transparency of radio waves and the straightness of light waves, and communications using the THz frequency band are expected to play a transitional role from existing radio-centered communications to lightwave-based communications.

[0104] 6G systems utilizing the THz frequency band have the following goals: i) very high data rates per device, ii) a very large number of connected devices, iii) global connectivity, iv) very low latency, v) reduced energy consumption of battery-free IoT devices, vi) ultra-reliable connectivity, and vii) connected intelligence with machine learning capabilities. The vision of the 6G system can be divided into four aspects: “intelligent connectivity,” “deep connectivity,” “holographic connectivity,” and “ubiquitous connectivity,” and the 6G system can be designed to satisfy the requirements as shown in [Table 1] below.

[0105] Per device peak data rate1 TbpsE2E latency1 msMaximum spectral efficiency100 bps / HzMobility supportup to 1000 km / hrSatellite integrationFullyAIFullyAutonomous vehicleFullyXRFullyHaptic CommunicationFully

[0106] At this time, the 6G system may have key factors such as enhanced mobile broadband (eMBB), ultra-reliable low latency communications (URLLC), massive machine type communications (mMTC), AI integrated communication, tactile internet, high throughput, high network capacity, high energy efficiency, low backhaul and access network congestion, and enhanced data security.

[0107] Figure 5 illustrates an example of a communication structure that can be provided in a 6G system applicable to the present disclosure. Referring to Figure 5, the 6G system is expected to have simultaneous wireless communication connectivity 50 times higher than that of a 5G wireless communication system. URLLC, a key feature of 5G, is expected to become an even more important technology in 6G communication by providing an end-to-end delay of less than 1 ms. In this case, the 6G system will have much better volumetric spectral efficiency than the frequently used area spectral efficiency. The 6G system can provide very long battery life and advanced battery technology for energy harvesting, so that mobile devices in the 6G system may not need to be charged separately.

[0108] As core implementation technologies of the 6G system, technologies such as artificial intelligence (AI), THz (terahertz) communication, optical wireless technology, FSO backhaul network, massive MIMO technology, blockchain, 3D networking, quantum communication, unmanned aerial vehicles, cell-free communication, wireless information and energy transfer (WIET), integration of sensing and communication, integration of access backhaul networks, holographic beamforming, big data analysis, and large intelligent surface (LIS) can be adopted.

[0109] THz communication utilizes a spectrum in the frequency band between 0.1 THz and 10 THz with corresponding wavelengths ranging from 0.03 mm to 3 mm, as shown in Fig. 6. THz communication can be implemented as follows.

[0110] Fig. 7 illustrates a THz communication method applicable to the present disclosure. Referring to Fig. 7, THz wireless communication refers to wireless communication using THz waves having a frequency of approximately 0.1 to 10 THz (1 THz = 1012 Hz), and may refer to terahertz (THz) band wireless communication using a very high carrier frequency of 100 GHz or higher. THz waves are located between the RF (Radio Frequency) / millimeter (mm) and infrared bands, and (i) compared to visible light / infrared rays, they penetrate non-metallic / non-polarizable materials well, and compared to RF / millimeter waves, they have a shorter wavelength, thus having high linearity and enabling beam focusing.

[0111] In addition, since the photon energy of THz waves is only a few meV, it has the characteristic of being harmless to the human body. The frequency band expected to be used for THz wireless communication may be the D-band (110 GHz to 170 GHz) or H-band (220 GHz to 325 GHz) bands where propagation loss due to absorption of molecules in the air is small. In addition to 3GPP, standardization discussions for THz wireless communication are being centered around the IEEE 802.15 THz WG (working group), and standard documents issued by the IEEE 802.15 TG (task group) (e.g., TG3d, TG3e) may specify or supplement the contents described in this specification. THz wireless communication can be applied to wireless cognition, sensing, imaging, wireless communication, THz navigation, etc.

[0112] Specifically, referring to Fig. 7, THz wireless communication scenarios can be categorized into macro networks, micro networks, and nanoscale networks. In macro networks, THz wireless communication can be applied to vehicle-to-vehicle (V2V) connections and backhaul / fronthaul connections. In micro networks, THz wireless communication can be applied to fixed point-to-point or multi-point connections such as indoor small cells, wireless connections in data centers, and near-field communication such as kiosk downloading. Table 2 below shows examples of technologies that can be utilized in THz waves.

[0113] Transceivers DeviceAvailable immature: UTC-PD, RTD and SBDModulation and codingLow order modulation techniques (OOK, QPSK), LDPC, Reed Soloman, Hamming, Polar, TurboAntennaOmni and Directional, phased array with low number of antenna elementsBandwidth69 GHz (or 23 GHz) at 300 GHzChannel modelsPartiallyData rate100 GbpsOutdoor deploymentNoFee space lossHighCoverageLowRadio Measurements300 GHz inddorDevice sizeFew micrometers

[0114] Fig. 8 illustrates a THz wireless communication transceiver applicable to the present disclosure. Referring to Fig. 8, THz wireless communication can be classified based on the method for generating and receiving THz. The THz generation method can be classified into optical device-based or electronic device-based technology. Here, the method for generating THz using electronic devices includes a method using a semiconductor device such as a resonant tunneling diode (RTD), a method using a local oscillator and a multiplier, a method using a monolithic microwave integrated circuit (MMIC) using a compound semiconductor high electron mobility transistor (HEMT)-based integrated circuit, and a method using a Si-CMOS-based integrated circuit. In the case of Fig. 8, a doubler (tripler, multiplier) is applied to increase the frequency, and it passes through a subharmonic mixer and is radiated by an antenna. Since the THz band forms a high frequency, a doubler is essential. Here, the multiplier is a circuit that provides an output frequency that is N times that of the input, matches it to the desired harmonic frequency, and filters out all remaining frequencies. In addition, beamforming can be implemented by applying an array antenna, etc. to the antenna of Fig. 8. In Fig. 8, IF represents an intermediate frequency, a tripler and a multiplier represent a multiplier, PA represents a power amplifier, LNA represents a low noise amplifier, and PLL represents a phase-locked loop.

[0115] FIG. 9 illustrates a THz signal generation method applicable to the present disclosure. FIG. 10 also illustrates a wireless communication transceiver applicable to the present disclosure. Referring to FIGS. 9 and 10 , the optical device-based THz wireless communication technology refers to a method of generating and modulating a THz signal using an optical device. The optical device-based THz signal generation technology is a technology that generates an ultra-high-speed optical signal using a laser and an optical modulator, and converts it into a THz signal using an ultra-high-speed photodetector. Compared to a technology that uses only electronic devices, this technology makes it easy to increase the frequency, enables high-power signal generation, and can obtain a flat response characteristic over a wide frequency band. For the optical device-based THz signal generation, as illustrated in FIG. 9 , a laser diode, a wideband optical modulator, and an ultra-high-speed photodetector are required. In the case of FIG. 9 , light signals from two lasers with different wavelengths are combined to generate a THz signal corresponding to the wavelength difference between the lasers. In Fig. 9, an optical coupler refers to a semiconductor device that transmits an electrical signal using optical waves to provide electrical isolation and coupling between circuits or systems, and a uni-travelling carrier photo-detector (UTC-PD) is a type of photodetector that uses electrons as active carriers and reduces the travel time of electrons through bandgap grading. The UTC-PD is capable of photodetection at 150 GHz or higher.In Fig. 0, EDFA (erbium-doped fiber amplifier) ​​represents an erbium-doped fiber amplifier, PD (photo detector) represents a semiconductor device that can convert an optical signal into an electrical signal, OSA represents an optical module (optical sub assembly) that modularizes various optical communication functions (e.g., photoelectric conversion, electro-optical conversion, etc.) into a single component, and DSO represents a digital storage oscilloscope.

[0116] Fig. 11 illustrates a transmitter structure applicable to the present disclosure. In addition, Fig. 12 illustrates a modulator structure applicable to the present disclosure. Referring to Figs. 11 and 12, a signal phase, etc. can be changed by passing an optical source of a laser through an optical wave guide. At this time, data is loaded by changing the electrical characteristics through a microwave contact, etc. Accordingly, the optical modulator output is formed as a modulated waveform. An opto-electrical modulator (O / E converter) can generate a THz pulse by optical rectification operation by a nonlinear crystal, photoelectric conversion (O / E conversion) by a photoconductive antenna, emission from a bunch of relativistic electrons, etc. Terahertz pulses (THz pulses) generated in the above manner can have lengths ranging from femtoseconds to picoseconds. The optical / electrical converter (O / E converter) performs down conversion by utilizing the non-linearity of the device.

[0117] Considering the THz spectrum usage, it is likely that THz systems will use multiple contiguous gigahertz bands for fixed or mobile service purposes. Based on the outdoor scenario criteria, the available bandwidth can be classified based on the oxygen attenuation of 10^2 dB / km in the spectrum up to 1 THz. Accordingly, a framework in which the available bandwidth is composed of multiple band chunks can be considered. As an example of the above framework, if the THz pulse length for one carrier is set to 50 ps, ​​the bandwidth (BW) becomes approximately 20 GHz.

[0118] Effective down-conversion from the infrared band to the terahertz band (THz band) depends on how to utilize the nonlinearity of the optical / electrical converter (O / E converter). In other words, to down-convert to the desired terahertz band (THz band), it is necessary to design an O / E converter with the most ideal non-linearity for transferring to the corresponding terahertz band (THz band). If an O / E converter that is not suitable for the target frequency band is used, errors are likely to occur in the amplitude and phase of the corresponding pulse.

[0119] A terahertz transmission and reception system can be implemented using a single optical-to-electrical converter in a single-carrier system. Depending on the channel environment, an optical-to-electrical converter may be required equal to the number of carriers in a multi-carrier system. This phenomenon will be particularly noticeable in a multi-carrier system that utilizes multiple broadbands according to the aforementioned spectrum usage plan. In this regard, a frame structure for the multi-carrier system may be considered. A signal down-converted using an optical-to-electrical converter may be transmitted in a specific resource region (e.g., a specific frame). The frequency region of the specific resource region may include a plurality of chunks. Each chunk may be composed of at least one component carrier (CC).

[0120] Specific embodiments of the present disclosure

[0121] The present disclosure relates to a technique for obtaining channel information in a wireless communication system. In particular, the present disclosure relates to a technique for obtaining channel information using a multi-functional signal. Specifically, the present disclosure proposes various embodiments of a procedure, including the structure of a signal for generating channel-related feedback information, transmission of the feedback information, and generation of channel information based on the feedback information.

[0122] Next-generation communication systems will require ubiquitous wireless connectivity to support intelligent and autonomous applications, such as smart manufacturing and transportation. Achieving ubiquitous wireless connectivity requires wireless signals to simultaneously perform multiple functions (e.g., communication and sensing) to reduce collaboration overhead and improve resource utilization efficiency. This requirement has led to discussions on space-time (ST) waveforms that can convey messages while improving sensing resolution.

[0123] Precoding, on the other hand, is a widely used performance enhancement technique in multiple input multiple output (MIMO) systems. Precoding can optimize end-to-end throughput, eliminate multi-user interference, and improve resiliency against ill-conditioned channels. One basic technique, called linear precoding, formulates the symbol vectors emitted through the transmit antennas using a precoding matrix, called a precoder, and a premultiplied data vector. The precoder can be computed as the eigenspace of the channel matrix, which hinges on the transmit channel state information (CSIT) at the base station. In frequency division duplex (FDD) systems, obtaining CSIT can be challenging due to the lack of channel duality. Therefore, the present disclosure proposes reusing or scavenging ambient multi-functional ST signals to implement precoder feedback.

[0124] In FDD systems, acquiring CSIT typically relies on the user equipment (UE) estimating the channel and feeding back the acquired channel information to the base station. Estimation and feedback methods are hindered by the high computational complexity and feedback overhead caused by the high dimensionality of MIMO channels. Consequently, techniques such as partial subspace feedback, compressive sensing (CS), and neural network-based compression have been developed to address limited channel feedback. By exploiting channel sparsity, these techniques exploit the redundancy of channel state information (CSI) to reduce feedback overhead. For example, in the case of compressive sensing, the informational properties of high-dimensional channel coefficients can be removed by multiplying them by a transformation matrix to yield low-dimensional compact vectors. Here, low-dimensional compact vectors are uploaded to the base station for CSI reconstruction.

[0125] Despite improvements in feedback efficiency, existing feedback techniques still face the following challenges. First, the aforementioned techniques require base stations to transmit pilot signals for channel estimation, which occupy scarce radio resources and incur additional transmission overhead. Second, codebook- or neural network-based CSI compression will face enormous computational costs in future large-scale MIMO systems (e.g., ultra-large arrays containing 10,000 to 1,000,000 elements), making these techniques infeasible for UEs with limited computational resources.

[0126] Accordingly, the present disclosure proposes a technique for efficient channel feedback and restoration. The technique proposed in this disclosure may be referred to as an on-the-fly channel quantization (FlyQuan) framework. This disclosure considers an environment in which orthogonal ST waveforms are used as sensing waveforms in a MIMO radar system. The space spanned by the ST waveforms can be used as constellation points on the Grassmann manifold to represent data bits. The entire ST waveform performs its own tasks, and sub-waveforms are leveraged to estimate a desired precoder to eliminate the need for pilot signals. Each sub-waveform can be treated as a uniformly sampled realization of the desired precoder due to its isotropic property. Furthermore, the UE will transmit the values ​​related to the norm of the received signal for each sub-waveform (e.g., norm value, Frobenius norm, norm squared value, Frobenius norm squared value, etc.) to the base station for precoder estimation, and the values ​​related to the norm evaluate the subspace distance to the desired precoder. The feedback of distance information according to the proposed technique can significantly reduce the computational cost in the UE by eliminating complex sum calculations and storage of quantized codebooks.

[0127] Channel estimation techniques according to various embodiments of the present disclosure may have the following characteristics.

[0128] - Precoder Estimation: Based on the feedback of the received distance information (hereinafter referred to as “distance feedback”), a precoder estimator included in the base station calculates the weighted centroid of the sub-waveforms on the Grassmann manifold as a global estimate. Here, the weights are calculated as normalized distance parameter feedback from the UE, and are arranged to better align sub-waveforms with smaller sub-space distances.

[0129] - Error Analysis: Estimation performance can be evaluated by deriving an upper bound on the mean square subspace distance (MSSD) of the estimated precoder relative to the ground truth. Theoretical analysis results show that MSSD can be decomposed into binary errors, where the error is inversely proportional to the symbol size, and MSSD decreases to zero when the symbol size of the ST waveform exceeds a threshold. This can be understood as improving the channel feedback performance based on the proposed technology as distance feedback from ambient communication signals accumulates.

[0130] - Numerical Experiments: The performance of the proposed technology is verified through numerical experiments. Comparisons with conventional compressed sensing-based channel feedback demonstrate that the proposed technology guarantees channel capacity performance while reducing feedback overhead and device computational complexity. Furthermore, the experimental results demonstrate its feasibility even in scenarios utilizing parameter quantization and non-ideal ST waveforms (e.g., waveforms generated by phase shifters).

[0131] FIG. 13 illustrates an example of an operating environment of a wireless communication system according to one embodiment of the present disclosure. FIG. 13 illustrates a situation in which two terminals (1310-1 and 1310-2) and a base station (1320) perform communication.

[0132] Referring to FIG. 13, a base station (1320) transmits a signal. The signal may be transmitted through multiple beams having narrow beam widths or through a beam having a wide beam width. Accordingly, the signal transmitted from the base station (1320) is transmitted toward multiple terminals and at least one structure. That is, the base station (1320) broadcasts a signal. Here, the signal has a structure that allows detection in a non-coherent manner. For example, the signal may include a symbol based on an ST waveform.

[0133] A signal is transmitted toward a first terminal (1310-1), a second terminal (1310-2), and a structure (1330). The signal conveys information to be transmitted to the second terminal (1310-2), and the second terminal (1310-2) can detect the signal in a non-coherent manner and obtain information. In addition, the signal can be used to sense the structure (1330). The signal is reflected by the structure (1330), which is a sensing target, and is received by the base station (1320), and the base station (1320) can detect the position or direction of the structure (1330) based on the reflected signal. In addition, the signal is received by the first terminal (1310-1), and the first terminal (1310-1) can use the signal for channel estimation. In this way, the signal transmitted from the base station (1320) has various functions. Specifically, the signal can be used as a streaming precoder realization to the first terminal (1310-1), as a non-coherent ST symbol to the second terminal (1310-2), and as an orthogonal sensing waveform to the structure (1330).

[0134] To support various functions using multi-functional signals, the base station (1320) may include components for radar sensing, components for non-coherent communication, and components for channel information acquisition. In addition, the first terminal (1310-1) may include components for channel information feedback, and the second terminal (1310-2) may include components for non-coherent communication. For example, the base station (1320), the first terminal (1310-1), and the second terminal (1310-2) may include at least one of the components described with reference to FIG. 2 or FIG. 3, and may further include components for non-coherent communication and / or channel information feedback / acquisition. Specifically, the functional structures of the base station (1320) and the first terminal (1310-1) for channel information feedback / acquisition are as shown in FIGS. 14 and 15 below.

[0135] FIG. 14 illustrates an example of a functional structure of a base station according to one embodiment of the present disclosure. FIG. 14 illustrates a functional structure for acquiring channel information of a base station (e.g., base station (1320)).

[0136] Referring to FIG. 14, the base station includes a waveform generation block (1410), an analog modulation block (1420), a transmitter (1430), a metric normalization block (1440), and a precoder estimation block (1450).

[0137] The waveform generation block (1410) generates a multi-functional waveform signal. In one embodiment, the entire symbol of the waveform may be used for sensing and non-coherent communication, and the sub-waveforms included in the waveform may be designed to be used for precoder estimation.

[0138] The analog modulation block (1420) performs analog modulation for transmission of a multi-functional waveform signal. For example, the analog modulation block (1420) may convert a multi-functional waveform signal into an analog signal and perform additional processing such as frequency up-conversion.

[0139] The transmitter (1430) transmits an analog modulated signal. In other words, the transmitter (1430) transmits a signal having a multi-functional ST waveform. At this time, the transmitter (1430) can transmit the signal for multiple time intervals using multiple antennas. Since the waveform of the signal according to various embodiments is designed to occupy multiple time resources and multiple space resources, the transmitter (1430) can transmit the signal through the time resources and space resources according to the structure of the signal.

[0140] The metric normalization block (1440) normalizes the fed-back information. For example, the fed-back information may include information about the distance between the precoder and each sub-waveform, and each value included in the fed-back information may be referred to as a distance metric. For example, the metric normalization block (1440) may normalize the distance metric by dividing it by the magnitude value of the corresponding sub-waveform. Here, the fed-back precoder may be understood as a channel matrix corresponding to a desired precoder.

[0141] The precoder estimation block (1450) determines a precoder, i.e., channel information, based on normalized distance metrics. For example, the precoder estimation block (1450) may determine a precoder based on the result of a weighted sum of sub-waveforms using the normalized distance metrics as weights. Specifically, the eigenspace of the weighted sum of sub-waveforms using the normalized distance metrics as weights may be determined as the precoder.

[0142] FIG. 15 illustrates an example of a functional structure of a terminal according to one embodiment of the present disclosure. FIG. 15 illustrates a functional structure for channel information feedback of a terminal (e.g., a first terminal (1310-1)).

[0143] Referring to FIG. 15, the terminal includes a receiver (1510) and a distance evaluation block (1520).

[0144] The receiver (1510) receives a signal transmitted from a base station. According to various embodiments, the receiver (1510) receives a signal having a multi-functional ST waveform. At this time, the receiver (1510) can receive the signal through at least one receiving antenna. The receiver (1510) can perform amplification, frequency down-conversion, digital conversion, etc. on the received signal.

[0145] The distance estimation block (1520) generates information that is fed back to the base station. For example, the fed back information may include information about the channel (e.g., the desired precoder) and the distance between each sub-waveform, and each value included in the fed back information may be referred to as a distance index.

[0146] As described above, according to various embodiments, channel estimation and feedback can be performed using signals having ST waveforms. Furthermore, signals having ST waveforms can be used for non-coherent communication and sensing. To this end, ST waveforms according to various embodiments can be designed to have the following properties.

[0147] Fig. 16 illustrates an example of a waveform structure according to one embodiment of the present disclosure. Referring to Fig. 16, a signal is transmitted through a plurality of antennas (1602-1 to 1602-N). t ) and is transmitted over T time intervals. That is, the waveform is transmitted over N in the spatial domain. tThe resources of the dog occupy T resources on the time axis. The divisions on the time axis form sub-waveforms, and the signal contains L sub-waveforms. The signal of Fig. 16 is expressed in matrix form as in Fig. 17.

[0148] Fig. 17 illustrates an example of a structure of a sub-waveform according to one embodiment of the present disclosure. Referring to Fig. 17, a signal X is composed of L sub-waveforms X1 to X L . The time axis length of each sub-waveform is N r , and the spatial axis length is N t Here, N r is the number of receiving antennas, N t is the number of transmitting antennas. The total length of signal X is T, so a signal X of length T can be used for non-coherent communication, and a signal of length N r Each sub-waveform of can be used for channel feedback, i.e. sub-waveforms X1 to X L can be treated as random realizations of the channel precoder, and the overall waveform signal X can be modulated by data bits for communication, and further, the signal X can be used as a sensing signal for detecting surrounding targets. Here, sub-waveforms X1 to X L It spans the given space as shown in Fig. 18.

[0149] Figure 18 illustrates an example of a subspace spanned by sub-waveforms according to one embodiment of the present disclosure. Referring to Figure 18, sub-waveforms X1 to X L encompasses the subspaces of the Grassmann manifold. The sub-waveforms X1 through X L can be used as a random realization of channel precoders.

[0150] The waveform according to various embodiments may have the characteristics as described with reference to FIGS. 16 to 18. As described above, X is N t ×T is a matrix of size XX, the rows of signal X are orthogonal to each other, and XX H =I Nt is. In addition, the subspace spanned by X can be used as a constellation point in the Grassmann manifold, and the constellation points can embed data bits for information delivery. In addition, in order to maximize the channel capacity and optimize the channel feedback performance, X can be isotropically distributed. That is, Q H Q=QQ H =I T For all Q satisfying , prob(X)=prob(XQ), and P H P=I Nt For all P satisfying , prob(X) = prob(PX). Furthermore, for optimal sensing resolution, the rows of signal X can be orthogonal (e.g., XX H =I Nt ).

[0151] FIG. 19 illustrates channel information feedback between a base station and a terminal according to one embodiment of the present disclosure. FIG. 19 illustrates channel information feedback and reconstruction between a terminal (1910) and a base station (1920).

[0152] Referring to FIG. 19, a base station (1920) transmits a signal in a waveform according to one embodiment. Here, since the signal includes multiple sub-waveforms, the transmission of the signal can be understood as streaming of the sub-waveforms. Accordingly, the terminal (1910) transmits distance information. is transmitted. Distance information for the th sub-waveform Upon receiving this, the feedback normalization block (1922) normalizes the received distance information, the global update block (1924) weights and adds products of sub-waveforms and conjugate transposes of the sub-waveforms (e.g., Hermitian combinations) based on the normalized distance information, and the precoder estimation block (1926) determines a precoder based on the result of the weighted addition. The precoding block (1928) performs precoding on the transmitted signal based on the estimated precoder.

[0153] In one embodiment, the distance information being fed back contains a scalar value evaluating how close the detected ST waveform's sub-waveforms are to the desired channel precoder. Specifically, the distance information Is The terminal (1910) may include a norm value of the reception signal matrix for the th sub-waveform. By using the norm value, the terminal (1910) does not need prior information about the ST waveform and may not be burdened with a high amount of computation. The distance information may be referred to as a distance index, a distance value, a distance parameter, or other terms having an equivalent technical meaning.

[0154] The mathematical basis for feedback on values ​​related to the channel is as follows: The results of the singular value decomposition (SVD) for can be expressed as , and the optimal linear eigenmode precoder is the right eigenspace is given as . Here, can be treated as a point on the Grassmann manifold. Accordingly, the terminal (1910) is a base station (1920). Feedback on the indicators needed to estimate .

[0155] Estimated from base station (1910) is used as a desired precoder. of The subspace distance can provide a natural and tractable measure of estimation error. Therefore, and The mean square subspace distance (MSSD) can be used as a performance indicator. Here, The value related to the norm of the th sub-waveform can be expressed as in [Mathematical Formula 1] below.

[0156]

[0157] In [Equation 1], silver The value related to the norm of the th sub-waveform, silver The received signal matrix of the th sub-waveform, is a channel, silver The transmission signal matrix of the th sub-waveform, silver It refers to the noise added to the second sub-waveform.

[0158] Here, Is and Approximate the inter-subspace distance. Accordingly, the terminal (1910) The sequence is transmitted to the base station (1920) as a distance indicator.

[0159] When the distance indicator is fed back, the base station (1920) normalizes the distance indicator and performs a global update. Received feedback information About, the base station (1920) is known Normalization can be performed based on the following equation (2). For example, the base station (1920) can perform normalization as shown in [Mathematical Formula 2] below.

[0160]

[0161] In [Equation 2], silver The value related to the norm of the th sub-waveform, is the value related to the normalized nominal, silver It means the transmission signal matrix of the th sub-waveform.

[0162] By normalizing as in [Equation 2], the effect of different sizes of sub-waveforms can be eliminated. Normalized information is used as a weight to combine all sub-waveforms. Normalized information Combining sub-waveforms based on can be performed as shown in [Mathematical Formula 3] below.

[0163]

[0164] In [Equation 3], is a combination of sub-waveforms, silver The value related to the normalized norm of the th sub-waveform, silver It means the transmission signal matrix of the th sub-waveform.

[0165] Based on the combination of sub-waveforms determined as described above, i.e., the weighted sum of the sub-waveforms, the base station (1920) can determine the precoder. According to one embodiment, the base station (1920) can determine the eigenspace (e.g., N) for the combination of sub-waveforms. rdimensional eigenspace) can be determined as a precoder or an estimate for the precoder. Geometrically, the precoder on the estimated Grassmann manifold is a sub-waveform can be calculated as the weighted centroid of the strongest weight. will be more aligned to sub-waveforms having a smaller sub-space distance or sub-waveforms having a smaller sub-space distance.

[0166] The aforementioned channel information feedback and restoration procedures can be summarized as shown in [Table 3] below.

[0167] To compute the precoder for the channel , initialize = 1, = 0, and repeats:Step 1: The UE computes the distance metric for as ;Step 2: The BS receives and normalizes it as ;Step 3: The BS updates the combination matrix as , ;Until .The BS estimates the precoder as the N r -dimensional principal eigenspace of .

[0168] FIG. 20 illustrates an example of a procedure for feeding back channel information according to one embodiment of the present disclosure. FIG. 20 illustrates an operating method of a terminal (e.g., the first terminal (1310-1) of FIG. 13 or the terminal (1910) of FIG. 19).

[0169] Referring to FIG. 20, in step S2001, a terminal receives a downlink signal. The downlink signal is designed to enable non-coherent detection and may be based on a set of orthogonal or quasi-orthogonal sequences. In one embodiment, the downlink signal may include a signal in the form of an ST waveform. In this case, the downlink signal may be received via multiple spatial resources (e.g., antennas) and multiple time resources.

[0170] In step S2003, the terminal generates channel-related information. That is, the terminal generates information for channel feedback based on the downlink signal. In other words, the terminal generates information to be fed back based on received values ​​for the downlink signal. According to one embodiment, the terminal may divide the received downlink signal into multiple sub-signals and determine values ​​related to the norm for each sub-signal.

[0171] In step S2005, the terminal transmits channel-related information. In other words, the terminal transmits the information generated in step S2003. In other words, the terminal provides feedback to the base station regarding information necessary to restore channel information. In one embodiment, the terminal may transmit a message containing values ​​related to the norm for each of the partial signals. For this purpose, although not illustrated in FIG. 20, feedback information items and resources for feedback may be preset for the terminal.

[0172] In step S2007, the terminal receives data. That is, the terminal receives a signal containing data from the base station. At this time, the signal may be generated based on channel information restored using channel-related information. For example, the signal may be precoded at the base station and then transmitted. Alternatively, the signal may be generated based on a modulation order and coding rate determined based on the channel information. At this time, the signal containing data may be based on a different waveform than the signal received in step S2001.

[0173] As described with reference to FIG. 20, the terminal may feedback channel-related information. In another embodiment, to reduce feedback overhead, the terminal may transmit a quantized version of the feedback information. In this case, the terminal may identify a quantization codeword that is closest to the determined information in a codebook (e.g., a uniform quantization codebook), and then transmit feedback information including the identified codeword. For example, the rank of the codebook may range from zero to the ratio of the square of the product of the number of transmit antennas and that of receive antennas to the length of the ST waveforms.

[0174] FIG. 21 illustrates an example of a procedure for obtaining channel information according to one embodiment of the present disclosure. FIG. 21 illustrates an operating method of a base station (e.g., base station (1320) of FIG. 13 or base station (1920) of FIG. 19).

[0175] Referring to FIG. 21, in step S2101, the base station transmits a downlink signal. The downlink signal is designed to enable non-coherent detection and may be based on a set of orthogonal or quasi-orthogonal sequences. In one embodiment, the downlink signal may include a signal in the form of an ST waveform. In this case, the downlink signal may be transmitted via multiple spatial resources (e.g., antennas) and multiple time resources.

[0176] In step S2103, the base station receives channel-related information. The base station receives feedback information generated by the terminal. That is, the base station receives information necessary to restore channel information. According to one embodiment, the base station may receive a message containing values ​​related to the norm for each of the sub-signals of the downlink signal transmitted in step S2101. For this purpose, although not illustrated in FIG. 21, feedback information items and resources for feedback may be set in advance for the terminal.

[0177] In step S2105, the base station determines channel information. The base station can determine information about the channel between the base station and the terminal based on the information received in step S2103. According to one embodiment, the base station can restore the channel information based on the downlink signal transmitted in step S2101 and the feedback information received in step S2103. Specifically, the base station can combine the partial signals using weights determined based on the feedback information, and then determine the channel information based on the combination of the partial signals. Here, the combination of the partial signals is formed in the form of a combination matrix, and the combination matrix can include a Hermitian combination matrix.

[0178] In step S2107, the base station transmits data. That is, the base station receives a signal containing data from the terminal. At this time, the signal may be generated based on the restored channel information. For example, the base station may determine a precoder based on the channel information, precode the signal at the base station using the precoder, and then transmit the signal. Alternatively, the signal may be generated based on a modulation order and coding rate determined based on the channel information. At this time, the signal containing data may be based on a different waveform than the signal received in step S2101.

[0179] FIG. 22 illustrates an example of a procedure for feeding back channel information according to one embodiment of the present disclosure. FIG. 22 illustrates an operation method of a UE (e.g., the first terminal (1310-1) of FIG. 13 or the terminal (1910) of FIG. 19).

[0180] Referring to FIG. 22, in step S2201, the terminal determines information related to the distance between each portion of the signal. To this end, the terminal divides the received ST waveform signal into multiple portions. Each portion forms a matrix. Each element of the matrix represents a received value for a sub-symbol of the signal, which can be understood as a sub-symbol that has passed through the channel. Here, the distance-related information corresponds to the difference between the portion and the desired precoder, i.e., the eigenspace of the channel. For example, the terminal can determine the square of the norm for each portion.

[0181] In step S2203, the terminal transmits distance-related information. To convey channel information to the base station, the terminal may transmit information related to the distance determined in step S2201. In other words, the terminal may feed back channel information. Here, the information fed back may not explicitly express channel information, but may include information necessary for the base station to restore or acquire channel information. Accordingly, the base station can acquire channel information.

[0182] FIG. 23 illustrates an example of a procedure for obtaining channel information according to one embodiment of the present disclosure. FIG. 23 illustrates an operating method of a base station (e.g., base station (1320) of FIG. 13 or base station (1920) of FIG. 19).

[0183] Referring to FIG. 23, in step S2301, the base station determines weights based on distance-related information. The base station may receive information related to the distance between signal segments and a channel matrix corresponding to a desired precoder from the terminal, and determine weights for combining based on the distance-related information. For example, the base station may determine the weight for the segment by normalizing a value included in the distance-related information received from the terminal. Here, normalization may be performed by dividing the value received as distance-related information by the size of the transmitted signal matrix of the segment (e.g., the square of the norm, the product of the matrix and the conjugate transpose of the matrix, etc.). Through this, weights corresponding to the number of signal segments may be determined.

[0184] In step S2303, the base station combines signal segments using weights. Since the weights are related to the distance between the segment and the desired precoder, combining segments using weights can be understood as combining segments containing distance information. For example, the base station can determine, for each segment, the product of the segment's matrix and its conjugate transpose, and weight the results of the multiplication. Through this, the base station can determine a combination matrix that combines the segments.

[0185] In step S2305, the base station determines channel information based on the combination. That is, the channel information estimation is determined based on the combination matrix. In other words, the base station can reconstruct channel information based on portions of the combined signal using weights. For example, the base station can determine an eigenspace for the combination matrix and determine at least a portion of the determined eigenspace as channel information. For example, the channel information is determined in the form of a precoder, and the precoder can be estimated as the principal eigenvectors of the combination matrix. In this case, the number of selected principal eigenvectors may be equal to the number of receiving antennas of the terminal.

[0186] The operations of the UE and the base station for feeding back channel information have been described with reference to FIGS. 20 to 23. The aforementioned operations may be combined with any of various procedures performed in a communication system. For example, the aforementioned operations may be combined with an initial access procedure, in which case the downlink signal may be understood as a synchronization signal (e.g., a primary synchronization signal or a secondary synchronization signal) or as a reference signal. Here, the synchronization signal conveys cell information through non-coherent detection. As another example, the aforementioned operations may be combined with a CSI measurement and reporting procedure, in which case the downlink signal may be understood as a reference signal, the distance feedback may be understood as a CSI reporting message, and configuration information regarding the reference signal may be signaled in advance.

[0187] Figures 24a to 24c illustrate the performance of channel feedback techniques according to embodiments of the present disclosure. Figures 24a to 24c show graphs of simulation results for comparing the proposed technique with conventional techniques (e.g., compressed sensing-based channel feedback). Figure 24a shows the change in channel capacity according to the number of transmit antennas, Figure 24b shows the change in feedback efficiency according to the number of transmit antennas, and Figure 24c shows the change in computational efficiency according to the number of transmit antennas. In the simulation, the feedback efficiency was calculated as the ratio of channel capacity to the number of bits used for channel feedback, and the computational efficiency was calculated as the ratio of channel capacity to float counts required at the UE.

[0188] Referring to Fig. 24a, the channel capacity of the proposed technique is compared with that of compressive sensing-based channel feedback techniques with three compressive ratios (e.g., 0.25, 0.5, and 1). Here, compressive sensing with a compression ratio of 1 achieves ideal channel feedback by utilizing heavy feedback overhead, and decreasing the compression ratio can reduce the feedback overhead. Referring to Fig. 24a, the proposed technique can achieve a similar capacity as the compressive sensing technique with a compression ratio of 0.5. Referring to Figs. 24b and 25c, it is confirmed that the proposed technique can achieve superior performance in terms of feedback overhead and computational complexity compared to the compressive sensing technique. In particular, in terms of computational complexity, the computational efficiency of the proposed technique is three times that of the compressive sensing technique when the number of transmit antennas ranges from 15 to 65.

[0189] The proposed methods described above can be implemented independently, but they can also be implemented as a combination (or merge) of some of the proposed methods. Rules can be defined so that the base station notifies the terminal of the applicability of the proposed methods (or information about the rules of the proposed methods) through a predefined signal (e.g., a physical layer signal or a higher layer signal).

[0190] The present disclosure may be embodied in other specific forms without departing from the technical ideas and essential features described herein. Therefore, the above detailed description should not be construed as limiting in all respects but rather as illustrative. The scope of the present disclosure should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the present disclosure are intended to be included within the scope of the present disclosure. Furthermore, claims that are not explicitly cited in the claims may be combined to form an embodiment or incorporated into a new claim through a post-filing amendment.

[0191] Embodiments of the present disclosure can be applied to various wireless access systems. Examples of various wireless access systems include the 3rd Generation Partnership Project (3GPP) or 3GPP2 systems.

[0192] The embodiments of the present disclosure can be applied not only to the various wireless access systems described above, but also to all technical fields that utilize these various wireless access systems. Furthermore, the proposed method can also be applied to mmWave and THz communication systems utilizing ultra-high frequency bands.

[0193] Additionally, embodiments of the present disclosure can be applied to various applications such as autonomous vehicles and drones.

Claims

1. In a method of operating a terminal in a wireless communication system, Step of receiving a first signal; A step of generating channel-related information using the first signal; a step of transmitting a second signal including feedback information related to the channel; and A step of receiving a third signal transmitted based on the above feedback information is included, The above feedback information includes information related to the distance between each part of the first signal and channel information, A method in which the first signal has a structure that supports at least one operation of transmitting information to another terminal and sensing an object.

2. In claim 1, A method wherein the feedback information includes a value related to a norm of a received signal matrix for each of the portions of the first signal.

3. In claim 1, The above first signal is a method having a structure capable of non-coherent detection.

4. In claim 1, The above first signal is a method having an orthogonal structure capable of radar sensing.

5. In claim 1, The above first signal is a method based on a space-time (ST) waveform transmitted through a plurality of time resources and a plurality of space resources.

6. In claim 1, The above multiple uses include methods for transmitting information through non-coherent detection, channel estimation, and radar sensing.

7. In a method of operating a base station in a wireless communication system, Step of transmitting a first signal; A step of receiving a second signal including feedback information related to a channel generated using the first signal from a terminal; A step of determining channel information based on the above feedback information; and A step of transmitting a third signal based on the above channel information is included, The feedback information includes information related to the distance between each part of the first signal and the channel information, A method in which the first signal has a structure that supports at least one operation of transmitting information to another terminal and sensing an object.

8. In claim 7, The step of determining the above channel information is: A step of determining weights based on the above feedback information; A step of determining a combined combination matrix of the above parts using the above weights; A method comprising a step of determining the channel information based on the above combination matrix.

9. In claim 8, The above weights are determined by normalizing the values ​​included in the feedback information to the size of the transmission signal matrix of the corresponding portion.

10. In claim 8, The above combination is determined by a weighted sum using the weights for the product of the transmission signal matrix of each of the above parts and the conjugate transpose of the transmission signal matrix.

11. In claim 8, A method wherein the channel information includes at least a portion of the eigenspace of the coupling matrix.

12. In a wireless communication system, at a terminal, Transmitter and receiver; and A processor connected to the above transmitter and receiver is included, The above processor, Receive the first signal, Generate channel-related information using the first signal, Transmitting a second signal including feedback information related to the channel, Control to receive a third signal transmitted based on the above feedback information, The above feedback information includes information related to the distance between each part of the first signal and channel information, The above first signal is a terminal having a structure that supports at least one operation of transmitting information to another terminal and sensing an object.

13. In a wireless communication system, at a base station, Transmitter and receiver; and A processor connected to the above transmitter and receiver is included, The above processor, Transmit the first signal, Receive a second signal from the terminal that includes feedback information related to a channel generated using the first signal, Determine channel information based on the above feedback information, Control to transmit a third signal based on the above channel information, The feedback information includes information related to the distance between each part of the first signal and the channel information, The above first signal is a base station having a structure that supports at least one operation of transmitting information to another terminal and sensing an object.

14. In communication devices, At least one processor; At least one computer memory connected to said at least one processor and storing instructions that direct operations when executed by said at least one processor, The above actions are, Step of receiving a first signal; A step of generating channel-related information using the first signal; a step of transmitting a second signal including feedback information related to the channel; and A step of receiving a third signal transmitted based on the above feedback information is included, The above feedback information includes information related to the distance between each part of the first signal and channel information, The above first signal is a communication device having a structure that supports at least one operation of transmitting information to another communication device and sensing an object.

15. In a non-transitory computer-readable medium storing at least one instruction, comprising at least one instruction executable by the processor, At least one of the above commands causes the device to: Receive the first signal, Generate channel-related information using the first signal, Transmitting a second signal including feedback information related to the channel, Control to receive a third signal transmitted based on the above feedback information, The above feedback information includes information related to the distance between each part of the first signal and channel information, The first signal is a non-transitory computer-readable medium having a structure that supports at least one of transmitting information to another device and sensing an object.

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