Apparatus and method for transmitting and receiving frequency hopping OFDM signal on basis of user configuration information in wireless communication system

Abstract

The present disclosure relates to an operation method of a first terminal in a wireless communication system, and the method may comprise the steps of: determining frequency hopping-related parameter values on the basis of user configuration information; generating at least one codeword by encoding an information bit; generating modulation symbols on the basis of the at least one codeword; transmitting an orthogonal frequency division multiplexing (OFDM) signal including the modulation symbols to a second terminal; and performing sensing on the basis of reflected signals of the OFDM signal, wherein the OFDM signal including the modulation symbols is allocated to time and frequency resources on the basis of the frequency hopping-related parameter values, and the user configuration information includes a distance resolution and a maximum detection speed.

Description

Device and method for transmitting and receiving frequency hopping OFDM signals based on user setting information in a wireless communication system

[0001] The following description relates to a device and method for transmitting and receiving a frequency hopping OFDM (orthogonal frequency division multiplexing) OFDM signal 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 numerous 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 purposes.

[0004] The present disclosure may provide a device and method for transmitting and receiving a signal in a wireless communication system.

[0005] The present disclosure may provide a device and method for performing signal transmission / reception and sensing through an OFDM (orthogonal frequency division multiplexing) radar method in a wireless communication system.

[0006] The present disclosure may provide a device and method using a frequency hopping scheme for transmitting an OFDM radar signal in a wireless communication system.

[0007] The present disclosure can provide a device and method for determining parameter values ​​used in a frequency hopping OFDM signal based on user setting information in a wireless communication system.

[0008] The present disclosure can provide a device and method for transmitting and receiving a signal using the entire allocated band by transmitting a frequency hopping OFDM signal in a wireless communication system.

[0009] The present disclosure can provide a device and method for determining an operation method for transmission and reception of a terminal based on a user environment in a wireless communication system.

[0010] The present disclosure can provide a device and method in a wireless communication system, in which a bandwidth to be used for communication is determined based on a distance resolution, and an OFDM symbol period is determined based on a maximum detection rate.

[0011] The present disclosure can provide a device and method for transmitting parameter values ​​related to frequency hopping to another device through a base station in a wireless communication system.

[0012] The present disclosure relates to a device and method for transmitting a plurality of transport blocks (TBs) as a single unit in a wireless communication system.

[0013] 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.

[0014] As an example of the present disclosure, a method for operating a first terminal in a wireless communication system includes the steps of determining frequency hopping-related parameter values ​​based on user configuration information, encoding information bits to generate at least one codeword, generating modulation symbols based on the at least one codeword, transmitting an orthogonal frequency division multiplexing (OFDM) signal including the modulation symbols to a second terminal, and performing sensing based on a reflection signal of the OFDM signal, wherein the OFDM signal including the modulation symbols is allocated to a time resource and a frequency resource based on the frequency hopping-related parameter values, and the user configuration information may include a distance resolution and a maximum detection speed.

[0015] As an example of the present disclosure, in a method of operating a second terminal in a wireless communication system,

[0016] A method comprising: receiving frequency hopping related parameters based on user configuration information from a first terminal; receiving an OFDM signal including modulation symbols from the first terminal; extracting the modulation symbols based on the received OFDM signal; generating at least one codeword based on the modulation symbols; and generating an information bit based on the at least one codeword, wherein the user configuration information includes a distance resolution and a maximum detection speed, and the OFDM signal including the modulation symbols can be allocated to time resources and frequency resources based on the frequency hopping related parameter values.

[0017] As an example of the present disclosure, a first terminal in a wireless communication system comprises: a transceiver; and a processor connected to the transceiver, wherein the processor determines frequency hopping-related parameter values ​​based on user configuration information, encodes information bits to generate at least one codeword, generates modulation symbols based on the at least one codeword, transmits an OFDM (orthogonal frequency division multiplexing) signal including the modulation symbols to a second terminal, and performs sensing based on a reflected signal of the OFDM signal, wherein the OFDM signal including the modulation symbols is allocated to a time resource and a frequency resource based on the frequency hopping-related parameter values, and the user configuration information may include a distance resolution and a maximum detection speed.

[0018] As an example of the present disclosure, in a wireless communication system, a second terminal comprises: a receiver; and a processor connected to the transceiver, wherein the processor controls to receive frequency hopping related parameters from a first terminal based on user configuration information, receive an OFDM signal including modulation symbols from the first terminal, extract the modulation symbols based on the received OFDM signal, generate at least one codeword based on the modulation symbols, and generate an information bit based on the at least one codeword, wherein the user configuration information includes a distance resolution and a maximum detection speed, and the OFDM signal including the modulation symbols can be allocated to a time resource and a frequency resource based on the frequency hopping related parameter values.

[0019] As an example of the present disclosure, a communication device includes at least one processor, and at least one computer memory connected to the at least one processor and storing instructions that direct operations when executed by the at least one processor, the operations including: determining frequency hopping-related parameter values ​​based on user configuration information; encoding information bits to generate at least one codeword; generating modulation symbols based on the at least one codeword; transmitting an orthogonal frequency division multiplexing (OFDM) signal including the modulation symbols to a second terminal; and performing sensing based on a reflected signal of the OFDM signal, wherein the OFDM signal including the modulation symbols is allocated to a time resource and a frequency resource based on the frequency hopping-related parameter values, and the user configuration information may include a distance resolution and a maximum detection speed.

[0020] As an example of the present disclosure, a non-transitory computer-readable medium storing at least one instruction, the at least one instruction being executable by a processor, the at least one instruction controlling a device to determine frequency hopping related parameter values ​​based on user configuration information, encode information bits to generate at least one codeword, generate modulation symbols based on the at least one codeword, transmit an orthogonal frequency division multiplexing (OFDM) signal including the modulation symbols to a second terminal, and perform sensing based on a reflected signal of the OFDM signal, wherein the OFDM signal including the modulation symbols is allocated to a time resource and a frequency resource based on the frequency hopping related parameter values, and the user configuration information may include a distance resolution and a maximum detection speed.

[0021] 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.

[0022] The following effects may be achieved by embodiments based on the present disclosure.

[0023] According to the present disclosure, in a wireless communication system, a terminal can efficiently transmit and receive signals and sense signals based on user setting information.

[0024] According to the present disclosure, in a wireless communication system, parameters related to frequency hopping can be determined based on user setting information.

[0025] According to the present disclosure, in a wireless communication system, a frequency hopping OFDM (orthogonal frequency division multiplexing) signal can be transmitted using the entire bandwidth throughout the entire transmission period.

[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 that are 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 that result from implementing the configuration described in the present disclosure can also be derived by those skilled in the art from the embodiments of the present disclosure.

[0027] The accompanying drawings are intended to aid in understanding 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] FIG. 1 is a diagram illustrating an example of a communication system applicable to the present disclosure.

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

[0030] FIG. 3 is a diagram showing another example of a wireless device applicable to the present disclosure.

[0031] FIG. 4 is a drawing showing an example of a mobile device applicable to the present disclosure.

[0032] FIG. 5 is a drawing showing an example of a vehicle or autonomous vehicle applicable to the present disclosure.

[0033] Figure 6 is a diagram showing an example of AI (Artificial Intelligence) applicable to the present disclosure.

[0034] FIG. 7 is a diagram illustrating a method for processing a transmission signal applicable to the present disclosure.

[0035] FIG. 8 is a diagram showing an example of a communication structure that can be provided in a 6G system applicable to the present disclosure.

[0036] Figure 9 is a diagram showing an electromagnetic spectrum applicable to the present disclosure.

[0037] Fig. 10 is a diagram showing a THz communication method applicable to the present disclosure.

[0038] FIG. 11 is a diagram illustrating an example of a stepped-carrier OFDM scheme according to one embodiment of the present disclosure.

[0039] FIG. 12 is a diagram illustrating an example of a linear frequency-modulated OFDM scheme according to one embodiment of the present disclosure.

[0040] FIG. 13 is a diagram showing an example of a frequency comb OFDM scheme according to one embodiment of the present disclosure.

[0041] FIG. 14 is a diagram showing an example of parameters used in the time-frequency domain in a radar system based on user-configured information according to one embodiment of the present disclosure.

[0042] FIG. 15 is a diagram showing an example of a transmission pattern of a signal according to an OFDM waveform according to one embodiment of the present disclosure.

[0043] FIG. 16 is a diagram showing an example of a reception pattern of a signal according to an OFDM waveform according to one embodiment of the present disclosure.

[0044] FIG. 17 is a diagram showing an example of operation of transmitters and receivers according to an OFDM waveform according to one embodiment of the present disclosure.

[0045] FIG. 18 is a diagram illustrating an example of a method for determining frequency hopping related parameter values ​​based on user setting information according to one embodiment of the present disclosure.

[0046] FIG. 19 is a diagram illustrating an example of a method in which a terminal transmits a signal and performs sensing based on user setting information according to one embodiment of the present disclosure.

[0047] FIG. 20 is a diagram illustrating an example of a method for a terminal to receive a signal using a frequency hopping technique based on user setting information according to one embodiment of the present disclosure.

[0048] FIG. 21 is a diagram illustrating signaling for base stations and terminals to transmit and receive radar signals based on user setting information according to one embodiment of the present disclosure.

[0049] The following embodiments combine 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.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] Additionally, in 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).

[0055] 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.

[0056] 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 5G (5th generation) 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.

[0057] Furthermore, the embodiments of the present disclosure may be applied to other wireless access systems and are not limited to the aforementioned systems. For example, they may be applicable to systems implemented after the 3GPP 5G NR system and are not limited to a specific system.

[0058] 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.

[0059] 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.

[0060] Additionally, specific terms used in the embodiments of the present disclosure are provided to aid in understanding 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.

[0061] 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).

[0062] In order to make the following description clear, the following description is based on a 3GPP communication system (e.g., LTE, NR, etc.), but the technical idea of ​​the present invention 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.

[0063] For background information, terms, abbreviations, etc. used in this disclosure, reference may be made to standard documents published prior to the invention of the present invention. For example, reference may be made to the 36.xxx and 38.xxx standard documents.

[0064] Communication system applicable to the present disclosure

[0065] 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.

[0066] 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.

[0067] FIG. 1 is a diagram illustrating an example of a communication system applied to the present disclosure.

[0068] 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., 5G NR, LTE) 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.

[0069] 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) network, etc. 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). In addition, IoT devices (100f) (e.g., sensors) can communicate directly with other IoT devices (e.g., sensors) or other wireless devices (100a to 100f).

[0070] 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 (e.g., 5G NR) 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.

[0071] Communication system applicable to the present disclosure

[0072] FIG. 2 is a diagram illustrating an example of a wireless device applicable to the present disclosure.

[0073] Referring to FIG. 2, the first wireless device (200a) and the second wireless device (200b) can transmit and receive wireless signals via various wireless access technologies (e.g., LTE, NR). Here, {the first wireless device (200a), the second wireless device (200b)} can correspond to {the wireless device (100x), the base station (120)} and / or {the wireless device (100x), the wireless device (100x)} of FIG. 1.

[0074] A first wireless device (200a) includes one or more processors (202a) and one or more memories (204a), and may further include one or more transceivers (206a) and / or one or more antennas (208a). The processor (202a) controls the memories (204a) and / or the transceivers (206a), and may be configured to implement the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. For example, the processor (202a) may process information in the memory (204a) to generate first information / signals, and then transmit a wireless signal including the first information / signals via the transceivers (206a). In addition, the processor (202a) may receive a wireless signal including second information / signals via the transceivers (206a), and then store information obtained from signal processing of the second information / signals in the memory (204a). The memory (204a) may be connected to the processor (202a) and may store various information related to the operation of the processor (202a). For example, the memory (204a) may perform some or all of the processes controlled by the processor (202a), or may store software code including instructions for performing the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. Here, the processor (202a) and the memory (204a) may be part of a communication modem / circuit / chip designed to implement wireless communication technology (e.g., LTE, NR). The transceiver (206a) may be connected to the processor (202a) and may transmit and / or receive wireless signals via one or more antennas (208a). The transceiver (206a) may include a transmitter and / or a receiver. The transceiver (206a) 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.

[0075] The second wireless device (200b) includes one or more processors (202b), one or more memories (204b), and may further include one or more transceivers (206b) and / or one or more antennas (208b). The processor (202b) controls the memories (204b) and / or the transceivers (206b), and may be configured to implement the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. For example, the processor (202b) may process information in the memory (204b) to generate third information / signals, and then transmit a wireless signal including the third information / signals via the transceivers (206b). In addition, the processor (202b) may receive a wireless signal including fourth information / signals via the transceivers (206b), and then store information obtained from the signal processing of the fourth information / signals in the memory (204b). The memory (204b) may be connected to the processor (202b) and may store various information related to the operation of the processor (202b). For example, the memory (204b) may perform some or all of the processes controlled by the processor (202b), or may store software code including commands for performing the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. Here, the processor (202b) and the memory (204b) may be part of a communication modem / circuit / chip designed to implement wireless communication technology (e.g., LTE, NR). The transceiver (206b) may be connected to the processor (202b) and may transmit and / or receive wireless signals via one or more antennas (208b). The transceiver (206b) may include a transmitter and / or a receiver. The transceiver (206b) may be used interchangeably with an RF unit. In the present disclosure, a wireless device may also mean a communication modem / circuit / chip.

[0076] Hereinafter, the hardware elements of the wireless device (200a, 200b) will be described in more detail. Although not limited thereto, one or more protocol layers may be implemented by one or more processors (202a, 202b). For example, one or more processors (202a, 202b) may implement one or more layers (e.g., functional layers 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)). One or more processors (202a, 202b) may generate one or more Protocol Data Units (PDUs) and / or one or more Service Data Units (SDUs) according to the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document. One or more processors (202a, 202b) may generate messages, control information, data or information according to the descriptions, functions, procedures, proposals, methods and / or operational flowcharts disclosed herein. One or more processors (202a, 202b) may generate signals (e.g., baseband signals) including PDUs, SDUs, messages, control information, data or information according to the functions, procedures, proposals and / or methods disclosed herein, and provide the signals to one or more transceivers (206a, 206b). One or more processors (202a, 202b) may receive signals (e.g., baseband signals) from one or more transceivers (206a, 206b) and obtain PDUs, SDUs, messages, control information, data or information according to the descriptions, functions, procedures, proposals, methods and / or operational flowcharts disclosed herein.

[0077] One or more processors (202a, 202b) may be referred to as a controller, a microcontroller, a microprocessor, or a microcomputer. One or more processors (202a, 202b) may be implemented by hardware, firmware, software, or a combination thereof. For example, one or more application specific integrated circuits (ASICs), one or more digital signal processors (DSPs), one or more digital signal processing devices (DSPDs), one or more programmable logic devices (PLDs), or one or more field programmable gate arrays (FPGAs) may be included in one or more processors (202a, 202b). The descriptions, functions, procedures, proposals, methods, and / or operational 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, suggestions, methods and / or operation flowcharts disclosed in this document may be implemented using firmware or software configured to perform one or more processors (202a, 202b) or stored in one or more memories (204a, 204b) and executed by one or more processors (202a, 202b). The descriptions, functions, procedures, suggestions, methods and / or operation flowcharts disclosed in this document may be implemented using firmware or software in the form of codes, instructions and / or sets of instructions.

[0078] One or more memories (204a, 204b) may be coupled to one or more processors (202a, 202b) and may store various forms of data, signals, messages, information, programs, codes, instructions, and / or commands. The one or more memories (204a, 204b) may be configured as read only memory (ROM), random access memory (RAM), erasable programmable read only memory (EPROM), flash memory, hard drives, registers, cache memory, computer readable storage media, and / or combinations thereof. The one or more memories (204a, 204b) may be located internally and / or externally to the one or more processors (202a, 202b). Additionally, the one or more memories (204a, 204b) may be coupled to the one or more processors (202a, 202b) via various technologies, such as wired or wireless connections.

[0079] One or more transceivers (206a, 206b) can transmit user data, control information, wireless signals / channels, etc., as mentioned in the methods and / or flowcharts of this document, to one or more other devices. One or more transceivers (206a, 206b) can receive user data, control information, wireless signals / channels, etc., as mentioned in the descriptions, functions, procedures, proposals, methods and / or flowcharts of this document, from one or more other devices. For example, one or more transceivers (206a, 206b) can be coupled to one or more processors (202a, 202b) and can transmit and receive wireless signals. For example, one or more processors (202a, 202b) can control one or more transceivers (206a, 206b) to transmit user data, control information, or wireless signals to one or more other devices. Additionally, one or more processors (202a, 202b) may control one or more transceivers (206a, 206b) to receive user data, control information, or wireless signals from one or more other devices. Additionally, one or more transceivers (206a, 206b) may be coupled to one or more antennas (208a, 208b), and one or more transceivers (206a, 206b) may be configured to transmit and receive user data, control information, wireless signals / channels, or the like, as referred to in the descriptions, functions, procedures, proposals, methods, and / or operational flowcharts disclosed in this document, via one or more antennas (208a, 208b). In this document, one or more antennas may be multiple physical antennas or multiple logical antennas (e.g., antenna ports). One or more transceivers (206a, 206b) can convert received user data, control information, 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 one or more processors (202a, 202b).One or more transceivers (206a, 206b) may convert user data, control information, wireless signals / channels, etc. processed by one or more processors (202a, 202b) from baseband signals to RF band signals. For this purpose, one or more transceivers (206a, 206b) may include an (analog) oscillator and / or filter.

[0080] Wireless device structure applicable to the present disclosure

[0081] FIG. 3 is a diagram illustrating another example of a wireless device applicable to the present disclosure.

[0082] Referring to FIG. 3, the wireless device (300) corresponds to the wireless devices (200a, 200b) of FIG. 2 and may be composed of various elements, components, units, and / or modules. For example, the wireless device (300) may include a communication unit (310), a control unit (320), a memory unit (330), and additional elements (340). The communication unit may include a communication circuit (312) and a transceiver(s) (314). For example, the communication circuit (312) may include one or more processors (202a, 202b) and / or one or more memories (204a, 204b) of FIG. 2. For example, the transceiver(s) (314) may include one or more transceivers (206a, 206b) and / or one or more antennas (208a, 208b) of FIG. 2. The control unit (320) is electrically connected to the communication unit (310), the memory unit (330), and the additional elements (340) and controls the overall operation of the wireless device. For example, the control unit (320) may control the electrical / mechanical operation of the wireless device based on the program / code / command / information stored in the memory unit (330). In addition, the control unit (320) may transmit information stored in the memory unit (330) to an external device (e.g., another communication device) via a wireless / wired interface through the communication unit (310), or store information received from an external device (e.g., another communication device) via a wireless / wired interface in the memory unit (330).

[0083] The additional element (340) may be configured in various ways depending on the type of the wireless device. For example, the additional element (340) may include at least one of a power unit / battery, an input / output unit, a driving unit, and a computing unit. Although not limited thereto, the wireless device (300) may be implemented in the form of a robot (Fig. 1, 100a), a vehicle (Fig. 1, 100b-1, 100b-2), an XR device (Fig. 1, 100c), a portable device (Fig. 1, 100d), a home appliance (Fig. 1, 100e), an IoT device (Fig. 1, 100f), a digital broadcasting terminal, a hologram device, a public safety device, an MTC device, a medical device, a fintech device (or a financial device), a security device, a climate / environmental device, an AI server / device (Fig. 1, 140), a base station (Fig. 1, 120), a network node, etc. Wireless devices may be mobile or stationary depending on the use / service.

[0084] In FIG. 3, various elements, components, units / parts, and / or modules within the wireless device (300) may be entirely interconnected via a wired interface, or at least some may be wirelessly connected via a communication unit (310). For example, within the wireless device (300), the control unit (320) and the communication unit (310) may be wired, and the control unit (320) and the first unit (e.g., 130, 140) may be wirelessly connected via the communication unit (310). In addition, each element, component, unit / part, and / or module within the wireless device (300) may further include one or more elements. For example, the control unit (320) may be composed of a set of one or more processors. For example, the control unit (320) may be composed of a set of a communication control processor, an application processor, an electronic control unit (ECU), a graphics processing processor, a memory control processor, etc. As another example, the memory unit (330) may be composed of RAM, DRAM (dynamic RAM), ROM, flash memory, volatile memory, non-volatile memory, and / or a combination thereof.

[0085] Mobile devices to which the present disclosure applies

[0086] FIG. 4 is a drawing illustrating an example of a mobile device applied to the present disclosure.

[0087] Figure 4 illustrates an example of a mobile device applicable to the present disclosure. The mobile device may include a smartphone, a smart pad, a wearable device (e.g., a smart watch, smart glasses), or a portable computer (e.g., a laptop, etc.). The mobile device may be referred to as a mobile station (MS), a user terminal (UT), a mobile subscriber station (MSS), a subscriber station (SS), an advanced mobile station (AMS), or a wireless terminal (WT).

[0088] Referring to FIG. 4, the portable device (400) may include an antenna unit (408), a communication unit (410), a control unit (420), a memory unit (430), a power supply unit (440a), an interface unit (440b), and an input / output unit (440c). The antenna unit (408) may be configured as a part of the communication unit (410). Blocks 410 to 430 / 440a to 440c correspond to blocks 310 to 330 / 340 of FIG. 3, respectively.

[0089] The communication unit (410) can transmit and receive signals (e.g., data, control signals, etc.) with other wireless devices and base stations. The control unit (420) can control components of the portable device (400) to perform various operations. The control unit (420) can include an AP (application processor). The memory unit (430) can store data / parameters / programs / codes / commands required for operating the portable device (400). In addition, the memory unit (430) can store input / output data / information, etc. The power supply unit (440a) supplies power to the portable device (400) and can include a wired / wireless charging circuit, a battery, etc. The interface unit (440b) can support connection between the portable device (400) and other external devices. The interface unit (440b) can include various ports (e.g., audio input / output ports, video input / output ports) for connection with external devices. The input / output unit (440c) can input or output video information / signals, audio information / signals, data, and / or information input from a user. The input / output unit (440c) may include a camera, a microphone, a user input unit, a display unit (440d), a speaker, and / or a haptic module.

[0090] For example, in the case of data communication, the input / output unit (440c) obtains information / signals (e.g., touch, text, voice, image, video) input by the user, and the obtained information / signals can be stored in the memory unit (430). The communication unit (410) can convert the information / signals stored in the memory into wireless signals, and transmit the converted wireless signals directly to other wireless devices or to a base station. In addition, the communication unit (410) can receive wireless signals from other wireless devices or base stations, and then restore the received wireless signals to the original information / signals. The restored information / signals can be stored in the memory unit (430) and then output in various forms (e.g., text, voice, image, video, haptic) through the input / output unit (440c).

[0091] Types of wireless devices to which the present disclosure applies

[0092] FIG. 5 is a drawing illustrating an example of a vehicle or autonomous vehicle to which the present disclosure applies.

[0093] Figure 5 illustrates a vehicle or autonomous vehicle applicable to the present disclosure. The vehicle or autonomous vehicle may be implemented as a mobile robot, car, train, manned / unmanned aerial vehicle (AV), ship, etc., and is not limited to the form of a vehicle.

[0094] Referring to FIG. 5, a vehicle or autonomous vehicle (500) may include an antenna unit (508), a communication unit (510), a control unit (520), a driving unit (540a), a power supply unit (540b), a sensor unit (540c), and an autonomous driving unit (540d). The antenna unit (550) may be configured as a part of the communication unit (510). Blocks 510 / 530 / 540a to 540d correspond to blocks 410 / 430 / 440 of FIG. 4, respectively.

[0095] The communication unit (510) can transmit and receive signals (e.g., data, control signals, etc.) with external devices such as other vehicles, base stations (e.g., base stations, roadside base stations, etc.), servers, etc. The control unit (520) can control elements of a vehicle or autonomous vehicle (500) to perform various operations. The control unit (520) can include an electronic control unit (ECU).

[0096] Figure 6 is a diagram illustrating an example of an AI device applicable to the present disclosure. For example, the AI ​​device may be implemented as a fixed or mobile device, such as a TV, projector, smartphone, PC, laptop, digital broadcasting terminal, tablet PC, wearable device, set-top box (STB), radio, washing machine, refrigerator, digital signage, robot, or vehicle.

[0097] Referring to FIG. 6, the AI ​​device (600) may include a communication unit (610), a control unit (620), a memory unit (630), an input / output unit (640a / 640b), a learning processor unit (640c), and a sensor unit (640d). Blocks 610 to 630 / 640a to 640d may correspond to blocks 310 to 330 / 340 of FIG. 3, respectively.

[0098] The communication unit (610) can transmit and receive wired and wireless signals (e.g., sensor information, user input, learning models, control signals, etc.) with external devices such as other AI devices (e.g., FIG. 1, 100x, 120, 140) or AI servers (FIG. 1, 140) using wired and wireless communication technology. To this end, the communication unit (610) can transmit information within the memory unit (630) to the external device or transfer a signal received from the external device to the memory unit (630).

[0099] The control unit (620) may determine at least one executable operation of the AI ​​device (600) based on information determined or generated using a data analysis algorithm or a machine learning algorithm. In addition, the control unit (620) may control components of the AI ​​device (600) to perform the determined operation. For example, the control unit (620) may request, search, receive, or utilize data from the learning processor unit (640c) or the memory unit (630), and may control components of the AI ​​device (600) to perform a predicted operation or an operation determined to be desirable among at least one executable operation. In addition, the control unit (620) may collect history information including the operation contents of the AI ​​device (600) or user feedback on the operation, and store the collected history information in the memory unit (630) or the learning processor unit (640c), or transmit the collected history information to an external device such as an AI server (FIG. 1, 140). The collected history information may be used to update a learning model.

[0100] The memory unit (630) can store data that supports various functions of the AI ​​device (600). For example, the memory unit (630) can store data obtained from the input unit (640a), data obtained from the communication unit (610), output data of the learning processor unit (640c), and data obtained from the sensing unit (640). In addition, the memory unit (630) can store control information and / or software codes necessary for the operation / execution of the control unit (620).

[0101] The input unit (640a) can obtain various types of data from the outside of the AI ​​device (600). For example, the input unit (620) can obtain learning data for model learning, input data to which the learning model will be applied, etc. The input unit (640a) may include a camera, a microphone, and / or a user input unit. The output unit (640b) may generate output related to vision, hearing, or touch. The output unit (640b) may include a display unit, a speaker, and / or a haptic module, etc. The sensing unit (640) can obtain at least one of internal information of the AI ​​device (600), information about the surrounding environment of the AI ​​device (600), and user information using various sensors. The sensing unit (640) may include a proximity sensor, an illuminance sensor, an acceleration sensor, a magnetic sensor, a gyro sensor, an inertial sensor, an RGB sensor, an IR sensor, a fingerprint recognition sensor, an ultrasonic sensor, a light sensor, a microphone, and / or a radar, etc.

[0102] The learning processor unit (640c) can train a model composed of an artificial neural network using learning data. The learning processor unit (640c) can perform AI processing together with the learning processor unit of the AI ​​server (Fig. 1, 140). The learning processor unit (640c) can process information received from an external device via the communication unit (610) and / or information stored in the memory unit (630). In addition, the output value of the learning processor unit (640c) can be transmitted to an external device via the communication unit (610) and / or stored in the memory unit (630).

[0103] FIG. 7 is a diagram illustrating a method for processing a transmission signal applied to the present disclosure. For example, the transmission signal may be processed by a signal processing circuit. At this time, the signal processing circuit (700) may include a scrambler (710), a modulator (720), a layer mapper (730), a precoder (740), a resource mapper (750), and a signal generator (760). At this time, as an example, the operations / functions of FIG. 7 may be performed in the processors (202a, 202b) and / or the transceivers (206a, 206b) of FIG. 2. Furthermore, as an example, the hardware elements of FIG. 7 may be implemented in the processors (202a, 202b) and / or the transceivers (206a, 206b) of FIG. 2. As an example, blocks 710 to 760 may be implemented in the processors (202a, 202b) of FIG. 2. Additionally, blocks 710 to 750 may be implemented in the processor (202a, 202b) of FIG. 2, and block 760 may be implemented in the transceiver (206a, 206b) of FIG. 2, and are not limited to the above-described embodiments.

[0104] The codeword can be converted into a wireless signal through the signal processing circuit (700) of FIG. 7. 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 (710). 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 (720). 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.

[0105] A complex modulation symbol sequence can be mapped to one or more transmission layers by a layer mapper (730). The modulation symbols of each transmission layer can be mapped to the corresponding antenna port(s) by a precoder (740) (precoding). The output z of the precoder (740) can be obtained by multiplying the output y of the layer mapper (730) by an N*M precoding matrix W. Here, N is the number of antenna ports, and M is the number of transmission layers. Here, the precoder (740) can perform precoding after performing transform precoding (e.g., discrete Fourier transform (DFT) transform) on the complex modulation symbols. In addition, the precoder (740) can perform precoding without performing transform precoding.

[0106] The resource mapper (750) 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 (760) 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 (760) 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.

[0107] The signal processing process for receiving signals in a wireless device can be configured in reverse order of the signal processing process (710 to 760) of FIG. 7. For example, a wireless device (e.g., 200a and 200b of FIG. 2) can receive wireless signals from the outside through an antenna port / transceiver. The received wireless signals can be converted into baseband signals through a signal restorer. For this purpose, the signal restorer can 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 can be restored to a codeword through a resource demapper process, a postcoding process, a demodulation process, and a descrambling process. The codewords can be restored to the original information blocks through decoding. Accordingly, a signal processing circuit (not shown) for a received signal may include a signal restorer, a resource de-mapper, a postcoder, a demodulator, a de-scrambler, and a decoder.

[0108] 6G communication system

[0109] The 6G (wireless communication) system aims to achieve (i) very high data rates per device, (ii) a very large number of connected devices, (iii) global connectivity, (iv) very low latency, (v) low energy consumption for battery-free 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 satisfy the requirements as shown in Table 1 below. In other words, Table 1 is a table showing the requirements of the 6G system.

[0110] Per device peak data rate1 TbpsE2E latency1 msMaximum spectral efficiency100 bps / HzMobility supportup to 1000 km / hrSatellite integrationFullyAIFullyAutonomous vehicleFullyXRFullyHaptic CommunicationFully

[0111] 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.

[0112] FIG. 8 is a diagram illustrating an example of a communication structure that can be provided in a 6G system applicable to the present disclosure.

[0113] Referring to Figure 8, 6G systems are expected to have 50 times higher simultaneous wireless connectivity than 5G wireless systems. URLLC, a key feature of 5G, is expected to become a more prominent technology in 6G communications, providing end-to-end latency of less than 1 ms. Furthermore, 6G systems will have significantly better volumetric spectral efficiency, unlike the commonly used area spectral efficiency. 6G systems can offer extremely long battery life and advanced battery technologies for energy harvesting, eliminating the need for separate charging for mobile devices in 6G systems.

[0114] Core implementation technology of 6G systems

[0115] - Artificial Intelligence (AI)

[0116] The most crucial and newly introduced technology for 6G systems is AI. 4G systems did not involve AI. 5G systems will support partial or very limited AI. However, 6G systems will fully support AI for automation. Advances in machine learning will create more intelligent networks for real-time communications in 6G. Incorporating AI into communications can streamline and improve real-time data transmission. AI can use numerous analyses to determine how complex target tasks should be performed. In other words, AI can increase efficiency and reduce processing delays.

[0117] Time-consuming tasks such as handover, network selection, and resource scheduling can be performed instantly using AI. AI can also play a crucial role in machine-to-machine (M2M), machine-to-human, and human-to-machine communications. Furthermore, AI can facilitate rapid communication in brain-computer interfaces (BCIs). AI-based communication systems can be supported by metamaterials, intelligent structures, intelligent networks, intelligent devices, intelligent cognitive radios, self-sustaining wireless networks, and machine learning.

[0118] Recent attempts to integrate AI into wireless communication systems have focused on the application layer and network layer, particularly deep learning in wireless resource management and allocation. However, this research is increasingly evolving to the MAC layer and physical layer, with attempts to combine deep learning with wireless transmission, particularly in the physical layer. AI-based physical layer transmission refers to applying AI-based signal processing and communication mechanisms, rather than traditional communication frameworks, in the fundamental signal processing and communication mechanisms. For example, this may include deep learning-based channel coding and decoding, deep learning-based signal estimation and detection, deep learning-based multiple input multiple output (MIMO) mechanisms, and AI-based resource scheduling and allocation.

[0119] Machine learning can be used for channel estimation and channel tracking, as well as for power allocation and interference cancellation at the physical layer of the downlink (DL). Machine learning can also be used for antenna selection, power control, and symbol detection in MIMO systems.

[0120] However, the application of DNN for transmission at the physical layer may have the following problems.

[0121] Deep learning-based AI algorithms require a large amount of training data to optimize training parameters. However, due to limitations in obtaining training data from specific channel environments, a large amount of training data is used offline. This means that static training on training data in specific channel environments can lead to conflicts with the dynamic characteristics and diversity of the wireless channel.

[0122] Furthermore, current deep learning primarily targets real-world signals. However, signals at the physical layer of wireless communications are complex signals. Further research is needed on neural networks capable of detecting complex domain signals to match the characteristics of wireless communication signals.

[0123] Below, we will look at machine learning in more detail.

[0124] Machine learning refers to a series of operations that train machines to perform tasks that humans can or cannot perform. Machine learning requires data and a learning model. In machine learning, data learning methods can be broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning.

[0125] Neural network training aims to minimize output errors. It involves repeatedly inputting training data into a neural network, calculating the neural network output and target error for the training data, and backpropagating the neural network error from the output layer to the input layer to update the weights of each node in the neural network to reduce the error.

[0126] Supervised learning uses labeled training data, while unsupervised learning may not have labeled training data. For example, in the case of supervised learning for data classification, the training data may be data in which each training data category is labeled. The labeled training data is input to a neural network, and the error can be calculated by comparing the output (categories) of the neural network with the training data labels. The calculated error is backpropagated through the neural network in the backward direction (i.e., from the output layer to the input layer), and the connection weights of each node in each layer of the neural network can be updated through backpropagation. The amount of change in the connection weights of each updated node can be determined by the learning rate. The neural network's calculation of the input data and the backpropagation of the error can constitute a learning cycle (epoch). The learning rate can be applied differently depending on the number of iterations of the neural network's learning cycle. For example, in the early stages of training a neural network, a high learning rate can be used to quickly allow the network to reach a certain level of performance, thereby improving efficiency, while in the later stages of training, a low learning rate can be used to improve accuracy.

[0127] Learning methods may vary depending on the characteristics of the data. For example, if the goal is to accurately predict data transmitted by a transmitter in a communication system, supervised learning is preferable to unsupervised learning or reinforcement learning.

[0128] The learning model corresponds to the human brain, and the most basic linear model can be thought of, but the machine learning paradigm that uses highly complex neural network structures, such as artificial neural networks, as learning models is called deep learning.

[0129] The neural network cores used in learning methods are mainly deep neural networks (DNN), convolutional deep neural networks (CNN), and recurrent Boltzmann machines (RNN), and these learning models can be applied.

[0130] THz (Terahertz) communication

[0131] THz communications can be applied in 6G systems. For example, data transmission rates can be increased by increasing bandwidth. This can be achieved by using sub-THz communications with wide bandwidths and applying advanced massive MIMO technology.

[0132] FIG. 9 is a diagram illustrating an electromagnetic spectrum applicable to the present disclosure. For example, referring to FIG. 9, THz waves, also known as sub-millimeter radiation, typically represent a frequency band between 0.1 THz and 10 THz with a corresponding wavelength ranging from 0.03 mm to 3 mm. The 100 GHz to 300 GHz band (Sub-THz band) is considered a major portion of the THz band for cellular communications. Adding the Sub-THz band to the mmWave band will increase the capacity of 6G cellular communications. Among the defined THz bands, 300 GHz to 3 THz is in the far infrared (IR) frequency band. Although the 300 GHz to 3 THz band is part of the optical band, it is at the boundary of the optical band and lies just behind the RF band. Therefore, this 300 GHz to 3 THz band exhibits similarities to RF.

[0133] Key characteristics of THz communications include (i) the widely available bandwidth to support very high data rates and (ii) the high path loss that occurs at high frequencies (requiring highly directional antennas). The narrow beamwidths generated by highly directional antennas reduce interference. The small wavelength of THz signals allows for a significantly larger number of antenna elements to be integrated into devices and base stations operating in this band. This enables the use of advanced adaptive array technologies to overcome range limitations.

[0134] Terahertz (THz) wireless communications

[0135] FIG. 10 is a diagram illustrating a THz communication method applicable to the present disclosure.

[0136] Referring to Fig. 10, THz wireless communication is a wireless communication using THz waves with 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, so they have high straightness and can enable beam focusing.

[0137] Specific embodiments of the present invention

[0138] Recently, digital radars that can carry data in radar waveforms have been gaining attention, rather than the existing analog radars, such as the frequency-modulated continuous-wave (FMCW) method. Digital radar methods include the phase-modulated continuous-wave (PMCW) method, which modulates the phase, and the OFDM radar method, which uses the OFDM (orthogonal frequency division multiplexing) waveform widely used in existing communications. Digital radars can perform radar sensing and communication simultaneously, and have the advantage of being robust against interference caused by other radar sensors.

[0139] As mentioned above, despite the advantages of digital radar over analog radar, there is a drawback that digital radar is difficult to implement. In particular, when using wide-bandwidth signals to achieve high resolution, high performance may be required from the digital-to-analog converter (DAC) that generates the waveform, the analog-to-digital converter (ADC) that receives and digitizes the signal, and the baseband amplifier and filter that support wide bandwidth. In other words, to implement high-resolution digital radar, the DAC and ADC must be able to operate at a high sampling frequency. Therefore, it may also affect the control of the signal processing unit that processes a large amount of data. Therefore, methods for implementing high-resolution MIMO (multiple-input multiple-output) OFDM radar using ADCs and DACs with low sampling rates are being studied.

[0140] FIG. 11 is a diagram illustrating an example of a stepped-carrier OFDM scheme according to an embodiment of the present disclosure. The stepped-carrier OFDM scheme divides a wide-band OFDM signal into sub-bands and transmits them differentially over time. The LO (local oscillator) frequencies of the transmitter and receiver are increased stepwise over time, so that each sub-band frequency is differentially transmitted and received. Therefore, the sampling rate of the ADC and DAC is reduced by the bandwidth of the sub-band. By integrating all signals of the divided and transmitted sub-bands at the receiver, a radar range resolution equivalent to the entire bandwidth can be obtained. However, since the stepped-carrier OFDM scheme uses a time-interleaving scheme, the Doppler ambiguity of the radar may increase. When this scheme is used in a MIMO radar, a subcarrier-interleaving scheme is used, which has the disadvantage of increasing range ambiguity.

[0141] FIG. 12 is a diagram illustrating an example of a linear frequency-modulated OFDM scheme according to an embodiment of the present disclosure. The linear frequency-modulated OFDM scheme changes the transmission frequency band over time, similar to the stepped-carrier OFDM scheme. The stepping of the stepped-carrier OFDM scheme occurs at each symbol period. However, the frequency-modulated OFDM scheme transmits the OFDM signal by mixing it with an FMCW signal, thereby increasing the LO frequency linearly, unlike the stepped-carrier OFDM scheme. This scheme can utilize the wide bandwidth of the FMCW, thereby achieving high distance resolution. Furthermore, by utilizing the short symbol period of the OFDM signal, high Doppler non-ambiguity can be secured. However, the frequency-modulated OFDM scheme requires that the IF (intermediate frequency) signal frequency band of the FMCW signal not overlap with the OFDM signal. Therefore, there are limitations in signal system design, and there is a problem that ghost targets occur due to the two modulated signals.

[0142] The aforementioned cascaded-carrier OFDM and linear frequency-modulated OFDM schemes suffer from the drawback that the bandwidth of signals transmitted simultaneously over a given period is a fraction of the total available bandwidth. This means that applying these two schemes to actual radar-communications convergence systems results in reduced channel capacity. Therefore, a frequency comb OFDM scheme can be proposed to achieve high range resolution while utilizing low-sampling-frequency ADCs / DACs.

[0143] FIG. 13 is a diagram illustrating an example of a frequency comb OFDM scheme according to an embodiment of the present disclosure. The frequency comb OFDM scheme uses multiple LOs at the hardware level to divide the bandwidth of transmission and reception signals into multiple sub-bands for transmission and reception. Since each sub-band is transmitted without time interleaving, it can have higher Doppler non-ambiguity than the previous stepped-carrier OFDM scheme. In addition, since the bandwidth of the signal transmitted during a certain symbol interval is equal to the entire bandwidth, there is no loss of communication capacity. However, when the frequency comb OFDM scheme is applied to a MIMO radar, there is still a disadvantage of increased range ambiguity. In addition, by mixing multiple sub-bands in parallel, the complexity of the hardware supporting transmission and reception can increase significantly.

[0144] The present disclosure proposes a frequency-hopping MIMO OFDM scheme that utilizes low-sampling frequency ADCs / DACs to achieve high radar range resolution and prevent loss of communication capacity. According to the embodiments described below, high range resolution can be achieved from a radar perspective while avoiding loss of range unambiguity due to MIMO operation, and the hardware structure can be implemented simply.

[0145] However, frequency-hopping schemes can present implementation challenges, both in terms of phase noise and the design stability of the set time interval after frequency changes. Constantly using the entire bandwidth for transmission and reception can result in wasted frequency resources. Furthermore, as symbol periods increase, rate resolution also decreases. Therefore, this disclosure proposes an active frequency-hopping MIMO OFDM scheme based on user-configured information. To this end, we first define the parameter values ​​used in this disclosure.

[0146] Fig. 14 is a diagram showing an example of parameters used in the time-frequency domain in a radar system based on user-configured information according to an embodiment of the present disclosure. In Fig. 14, B represents a frequency bandwidth to be used in communication, and T s means one OFDM symbol period, and T p means the entire OFDM symbol period, and T cp refers to the period of the cyclic prefix. Users using the radar-communication fusion system may have various requirements for measurement and communication. User-configuration information can be determined based on the user's requirements, and the user-configuration information may include the maximum detection range R. max , distance resolution △R, maximum detection speed V max and speed resolution △V, etc. Therefore, communication parameters corresponding to the setting information of each of multiple users can be determined.

[0147] First, the distance resolution △R and the frequency bandwidth B have the following relationship [Mathematical Formula 1].

[0148]

[0149] In [Mathematical Formula 1], △R represents distance resolution, B represents frequency bandwidth, and c represents the speed of light.

[0150] Therefore, by using [Mathematical Formula 1], the bandwidth B can be determined based on the distance resolution △R corresponding to the user's requirements.

[0151] Second, the maximum detection speed V max and one OFDM symbol period T s has the same relationship as [Mathematical Formula 2] below.

[0152]

[0153] In [Equation 2] V maxis the maximum detection rate, Ts is one OFDM symbol period, c is the speed of light, and f o refers to the center frequency to be used for transmission and reception.

[0154] Therefore, V responds to the user's requirements. max Based on the total OFDM symbol period T s can be determined. Also, the maximum detection distance R max And there may be user requirements for the speed resolution △V. Therefore, by the relationship of [Mathematical Formula 3] and [Mathematical Formula 4], the total symbol period T p and cyclic prefix period T cp can be decided.

[0155]

[0156] In [Equation 3] R max means the maximum detection distance, and T cp stands for the cyclic prefix period, and c stands for the speed of light.

[0157]

[0158] In [Mathematical Formula 4], △V represents the velocity resolution, and T p represents the full symbol period, c represents the speed of light, and f o refers to the center frequency to be used for transmission and reception.

[0159] Therefore, at least one of the parameters used in the time-frequency domain, such as a bandwidth, an OFDM symbol period, a total OFDM symbol period, and a cyclic prefix, can be determined by user-configured information corresponding to user requirements. In this case, the user-configured information must include the maximum detection distance, distance resolution, and maximum detection speed. It is not necessary for both range resolution and speed resolution to be present. For example, if the user's requirements only affect range resolution and maximum detection speed, the bandwidth and one OFDM symbol period can be determined, and the remaining parameter values ​​can be set to preset or optimized values. Based on the determined parameter values, the transmitter can determine a frequency-hopping OFDM waveform that matches the user's configuration information. Below, a method for operating a transceiver using the determined frequency-hopping OFDM waveform will be described.

[0160] Fig. 15 is a diagram showing an example of a transmission pattern of a signal according to an OFDM waveform according to an embodiment of the present disclosure. Referring to Fig. 15, the number of transmission channels is N TX On the other hand, the device uses the entire OFDM bandwidth B to N TX Subbands of the dog (1504-1 to 1504-N) TX ) and subbands (1504-1 to 1504-N TX ) are assigned to each transmission channel. The device has multiple transmit antennas to enable MIMO operation, and includes multiple transmitters connected to the multiple transmit antennas. Here, the transmitter can be understood as a transmission chain. That is, each transmitter included in the device has a transmission subband bandwidth B. IF,TX Transmits an OFDM subband signal having a DAC bandwidth B of each transmitter. IF,TX can be expressed as in [Mathematical Formula 5] below.

[0161]

[0162] In [Equation 5], B IF,TX is the DAC bandwidth of the transmitter, N TX is the number of transmission subbands, and B represents the given total bandwidth.

[0163] Additionally, one OFDM symbol interval T SDuring, after each subband is transmitted on each transmission channel, during the next symbol interval, the transmitter changes the frequency by Δf H It hops as much as it can and transmits signals on subbands of different frequencies.

[0164] At this time, the magnitude of frequency hopping Δf H can be determined as shown in [Mathematical Formula 6] below.

[0165]

[0166] In [Equation 6], Δf H is the frequency hopping size, B IF,TX is the DAC bandwidth of the transmitter, B IF,RX refers to the ADC bandwidth of the receiver.

[0167] In order to achieve the same effect even when the number of available channels for transmission and the number of available channels for reception are not the same, the size of frequency hopping is determined based on the larger value of the transmission bandwidth and the reception bandwidth. At this time, if the number of available channels for transmission and the number of available channels for reception have an integer multiple of 1 or more, the movement distance of the subband due to frequency hopping can be determined as a subband as many as an integer number of 2 or more. For example, if the ADC bandwidth of the receiver is twice the DAC bandwidth of the transmitter, the transmitter can transmit a signal in the order of the nth subband, the n+2th subband, and the n+4th subband in consecutive symbol intervals according to frequency hopping.

[0168] In this way, the transmitter, while frequency hopping, transmits the entire symbol intervals (1502-1 to 1502-N TX ) including the transmission interval T p Transmit signals during the transmission period T. pis determined so that all transmission channels can transmit signals in all subbands. That is, in Fig. 15, by observing only the frequency band corresponding to one subband, it can be confirmed that signals from all transmitters are transmitted during the transmission interval. This is to ensure that each receiver can receive signals from all transmission channels in all reception channels. Therefore, during the transmission interval T p can be determined as shown in [Mathematical Formula 7] below.

[0169]

[0170] In [Equation 7], T p is the transmission interval, T S is the symbol interval, N TX is the number of transmission subbands, N RX means the number of receiving subbands.

[0171] Fig. 16 is a diagram showing an example of a reception pattern of a signal according to an OFDM waveform according to an embodiment of the present disclosure. In the case of reception, the total number of receivers is N. RX In this case, the device can transmit the entire OFDM signal bandwidth B to N RX Subbands of the dog (1504-1 to 1504-N) TX ) and subbands (1504-1 to 1504-N TX ) is assigned to each receiving channel. The device has multiple receiving antennas to enable MIMO operation, and includes multiple receivers connected to the multiple receiving antennas. Here, the receiver can be understood as a receiving chain. At this time, the bandwidth B of each of the receivers included in the device IF,RX The signals corresponding to the entire symbol interval T p is received during the bandwidth B of each receiver. IF,RX can be expressed as in [Mathematical Formula 8].

[0172]

[0173] In [Equation 8], B IF,RXis the ADC bandwidth of the receiver, N RX is the number of receiving subbands, and B represents the given total bandwidth.

[0174] FIG. 17 is a diagram showing an example of operation of transmitters and receivers according to an OFDM waveform according to one embodiment of the present disclosure.

[0175] Referring to Figure 17, the device is N TX Transmitters of dogs (1710-1 to 1710-N) TX ) and transmitters (1710-1 to 1710-N TX ) through signals TX1 to TX N_TX Transmits. Transmitters (1710-1 to 1710-N TX ) each includes DACs and mixers for I-channel and Q-channel, and includes an LO that supplies a frequency signal to the mixers. In order to form a transmission pattern as in Fig. 15, the transmitters (1710-1 to 1710-N TX ) starts transmitting on different subbands and repeatedly transmits the same signal on multiple subbands during the transmission period. For example, N TX The subbands are used by the transmitters (1710-1 to 1710-N). TX ) each as multiple transmissions, capable of performing one transmission per subband.

[0176] The device is N RX Receivers of dogs (1720-1 to 1620-N) RX ) and receivers (1720-1 to 1720-N RX ) through signals TX1 to TX N_TX transmits. Receivers (1720-1 to 1720-N RX ) each includes mixers for I-channel and Q-channel, ADCs, and LOs that supply frequency signals to the mixers. To form a reception pattern as in Fig. 16, the receivers (1720-1 to 1720-N RX) perform reception on different subbands during the transmission period. For example, N RX The subbands are used by the receivers (1720-1 to 1720-N). RX ) each sequentially receives different signals from one subband.

[0177] The operation of the frequency hopping MIMO OFDM waveform, transmitter and receiver according to the above-described embodiment provides a radar range resolution ΔR=c / (2B) corresponding to the entire OFDM bandwidth B. In addition, the sampling bandwidth of the DAC and ADC that generate and receive signals in each transmitter and each receiver is B IF,TX and B IF,RX The effect of reducing the bandwidth is also obtained. In addition, since the method of interleaving subcarriers for MIMO operation is not used, there is no loss in range unambiguity. Furthermore, if a waveform such as the above-described embodiment is used, the bandwidth of the signal transmitted during one symbol interval is maintained as B, thereby preventing loss of channel capacity. Therefore, if the hopping parameter is determined based on user requirements, efficient communication can be enabled by preventing loss of channel capacity based on the above-described method.

[0178] FIG. 18 is a diagram illustrating an example of a method for determining frequency hopping-related parameter values ​​based on user-configured information according to one embodiment of the present disclosure. Referring to FIG. 18 , in various environments, a user can efficiently adjust sensing capabilities according to the intended use of the terminal.

[0179] In step S1801, the terminal sets an operation method based on the user environment. To this end, the terminal can determine the parameter values ​​related to sensing according to the user environment. The parameter values ​​related to sensing are user-configured information, such as the maximum detection distance R, determined based on user requirements as described above. max, distance resolution △R, maximum detection speed V max And may include at least one of speed resolution △V, etc. In addition, the terminal may obtain user-configured information in various ways. For example, a vertical terminal environment may be configured. In a vertical terminal environment, the user may directly determine and input parameter values ​​related to sensing to the terminal, or may determine parameter values ​​related to sensing preset by a Key Performance Indicator (KPI) required for the terminal.

[0180] In another example, user configuration information can be determined by a sensor monitoring the external environment. For example, at least one of the following values, such as the maximum detection distance, range resolution, maximum detection speed, and speed resolution, may be determined based on the brightness of the external environment. Accordingly, the terminal can continuously monitor the brightness of the external environment and change the user configuration information based on this monitoring.

[0181] As another example, the terminal can determine user configuration information based on the JCAS (joint communication and sensing) resource database. The resource database can be trained using an artificial intelligence model. To this end, the terminal can use past frequency hopping parameter values ​​as input values ​​for the training model, and train the resource database in the direction of increasing the objective function, such as sensing resolution or transmission rate, as the objective function.

[0182] In step S1803, the terminal determines parameter values ​​related to the radar signal. The terminal uses [Mathematical Equations 1] to [Mathematical Equations 4] to determine a frequency bandwidth B and an OFDM symbol period T based on the user setting information determined in step S1801. s , total OFDM symbol period T p or the period T of the cyclic prefix cpAt least one of them can be determined. For example, if the distance resolution and maximum detection speed are determined in step S1801, using [Mathematical Formula 1] and [Mathematical Formula 2], the bandwidth B and OFDM symbol period T s can be determined. In this case, the total OFDM symbol period T p or the period T of the cyclic prefix cp It can be determined by considering the terminal's resources based on the determined bandwidth and symbol period or can be determined by a preset method.

[0183] In step S1805, the terminal determines a parameter value related to frequency hopping. The parameter value related to frequency hopping may include at least one of an ADC bandwidth of a transmitter, an ADC bandwidth of a receiver, a frequency hopping size, or an entire transmission interval. The terminal may determine a parameter value related to frequency hopping using [Mathematical Formula 5] to [Mathematical Formula 8] based on the parameter value related to the radar signal determined in step S1803. At this time, in step S1803, the entire OFDM symbol interval T p If the terminal has already been determined, the T determined in step S1803 p The value and T determined by [Equation 7] p The larger value among the values ​​can be determined as the overall OFDM symbol interval value. The method for determining the overall OFDM symbol interval value is not necessarily limited to the method described above, and can be implemented differently depending on the importance of communication efficiency and sensing requirements.

[0184] Additionally, the frequency hopping-related parameter values ​​determined in step S1805 may be transmitted to the receiving terminal. For example, the transmitting terminal may transmit the frequency hopping-related parameter values ​​to the base station, and the base station may then transmit the frequency hopping-related parameter values ​​to the receiving terminal. As another example, the transmitting terminal may directly transmit the frequency hopping-related parameter values ​​to the receiving terminal using side communication. In addition, the frequency hopping-related parameter values ​​may be transmitted through an RRC (radio resource control) connection. As another example, if the transmitting terminal and the receiving terminal always operate in the same user environment-based operation method setting, they may attempt to transmit and receive signals with the frequency hopping-related parameter values ​​determined by each terminal without separate signaling. Below, a method for transmitting and receiving signals with parameter values ​​determined based on the above-described method is proposed.

[0185] FIG. 19 is a diagram illustrating an example of a method in which a terminal transmits a signal and performs sensing based on user setting information according to one embodiment of the present disclosure.

[0186] In step S1901, the terminal can determine frequency hopping-related parameter values ​​based on user setting information through the method described above in FIG. 18, and the terminal can transmit the frequency hopping-related parameter values ​​to the receiving device through a method such as transmitting them through a base station or directly.

[0187] In step S1903, the terminal generates a codeword by encoding the information bits to be transmitted. The terminal can generate the codeword by encoding the information block.

[0188] In step S1905, the terminal generates modulation symbols based on the codeword. The modulation scheme may include pi / 2-BPSK (pi / 2-binary phase shift keying), m-PSK (m-phase shift keying), m-QAM (m-quadrature amplitude modulation), etc.

[0189] In step S1907, the terminal transmits modulation symbols based on parameter values ​​related to frequency hopping determined in step S1901. The modulation symbols may be allocated in the time-frequency domain as described above in FIG. 15. Accordingly, the terminal may be equipped with multiple transmit antennas to enable MIMO operation, and may include multiple transmitters connected to the multiple transmit antennas. Each transmitter included in the device has a transmission subband bandwidth B. IF,TX transmits an OFDM subband signal having a predetermined parameter. Therefore, each transmitter transmits one OFDM symbol interval T based on the determined parameter. S During the symbol interval, the transmitter transmits a subband on each transmission channel. During the next symbol interval, the transmitter changes the frequency by Δf H The transmitter hops the frequency and transmits a subband signal of a different frequency. In addition, the transmitter transmits a transmission interval T that includes the entire symbol interval while hopping the frequency. p Signals can be transmitted during the transmission period T. p can be determined so that all transmission channels can transmit signals on all subbands.

[0190] In step S1909, the terminal performs sensing using the reflected signals from the transmitted signal. Through these processes, the terminal can simultaneously perform sensing and achieve user requirements corresponding to user-defined information.

[0191] FIG. 20 is a diagram illustrating an example of a method in which a terminal receives a signal using a frequency hopping technique based on user setting information according to one embodiment of the present disclosure.

[0192] In step S2001, the receiving terminal receives frequency hopping-related parameter values ​​based on the user configuration information determined by the transmitting terminal. As described above, the transmitting terminal can transmit the parameter values ​​directly to the receiving terminal or through the base station. However, it is not necessarily limited to receiving the frequency hopping-related parameter values ​​through communication. For example, if the receiving terminal and the transmitting terminal exist in the same environment and can each derive parameter values ​​and have the same result, the parameter values ​​can be determined in the same way as the transmitting method based on the receiving terminal's user configuration information. In addition, the receiving terminal can use the preset values ​​or receive the parameter values ​​in a form indexed into a codebook.

[0193] In step S2003, the receiving terminal receives a hopping signal based on the configuration information.

[0194] In step S2005, modulation symbols are extracted based on the received signal. As described above in Fig. 16, the receiving terminal is equipped with multiple receiving antennas to enable MIMO operation, and may include multiple receivers connected to the multiple receiving antennas. Accordingly, the receiving terminal may have a bandwidth B of each of the receivers included in the receiving terminal. IF,RX The signals corresponding to the entire symbol interval T p can be received during the period. The receiving terminal receives the received modulation symbols in one OFDM symbol period T. S Each modulation symbol can be extracted by dividing it into .

[0195] In steps S2007 to S2009, a codeword is generated based on modulation symbols, and the codeword is changed into information bits to receive data.

[0196] Although the above suggests that a terminal determines frequency hopping-related parameter values ​​based on user configuration information, this is not necessarily limited to the above-described embodiment. For example, as follows, a base station may determine frequency hopping-related parameter values ​​based on user configuration information from a terminal.

[0197] FIG. 21 is a diagram illustrating signaling for base stations and terminals to transmit and receive radar signals based on user-configured information, according to one embodiment of the present disclosure. According to FIG. 21, a base station (2110) can determine frequency hopping-related parameter values ​​based on user-configured information.

[0198] In step S2101, the first terminal (2120-1) transmits user setting information related parameters to the base station (2110). At this time, the user setting information related parameter values ​​include maximum detection distance, distance resolution, and maximum detection speed. and may include at least one of speed resolution, etc.

[0199] At this time, the first terminal (2120-1) can obtain user configuration information in various ways. As described above in FIG. 18, a vertical terminal environment can be configured. In the vertical terminal environment, the user can directly determine parameter values ​​related to sensing and input them to the first terminal (2120-1). In addition, a Key Performance Indicator (KPI) required for the first terminal (2120-1) can be set, and parameter values ​​related to sensing can be determined based on the KPI.

[0200] As another example, configuration information may be determined based on sensor values ​​monitoring the external environment. For example, at least one of the following values ​​may be determined based on the performance required based on the brightness of the external environment: maximum detection distance, distance resolution, maximum detection speed, and speed resolution. Accordingly, the first terminal (2120-1) can continuously monitor the brightness of the external environment and change user configuration information based on the monitoring.

[0201] As another example, user configuration information can be determined based on the JCAS (joint communication and sensing) resource database. The resource database can be trained using an artificial intelligence model. To this end, the first terminal (2120-1) can use past frequency hopping parameter values ​​as input values ​​for the training model and train the resource database in a direction in which the objective function increases, using sensing resolution or transmission rate as the objective function.

[0202] In step S2103, the base station (2110) determines frequency hopping-related parameter values ​​based on the received user configuration information. Based on the received user configuration information, the parameter values ​​related to frequency hopping can be determined using [Mathematical Equations 5] to [Mathematical Equations 8].

[0203] In step S2105, the base station (2110) transmits the determined frequency hopping-related parameter values ​​to the first terminal (2120-1) and the second terminal 2 (2120-2). The base station can allocate communication resources in the form of an RRC message. Accordingly, the base station (2110) includes frequency hopping-related parameters in the RRC message and allocates communication resources to the terminals (2120-1 and 2120-2), and the terminals can perform communication based on the allocated resources.

[0204] In step S2107, the first terminal (2120-1) transmits a JCAS radar signal. For example, as described above in FIG. 15, the first terminal (2120-1) can transmit a radar signal having a transmission section including entire symbol sections while hopping frequencies based on the frequency hopping-related parameter values ​​received from the base station (2110). As described above in FIG. 16, the second terminal 2 (2120-2) can sequentially receive different signals in one subband. Additionally, the first terminal (2120-1) can also perform sensing using a reflection signal of the transmitted JCAS radar signal.

[0205] While the method for a terminal to transmit user-based parameters to a base station has been described above, it is also possible for the base station to determine user-based parameters without receiving them from the terminal. For example, the base station can directly determine user-based parameters by monitoring the external environment. Alternatively, user-based parameters can be determined vertically, such as directly input by a telecommunications operator at the base station or determined based on KPI criteria. Therefore, the method described above is not limited, and the base station can determine hopping-related parameters based on user-defined information in various ways.

[0206] It is clear that the examples of the proposed methods described above can also be considered as a type of proposed methods, as they can be included as one of the implementation methods of the present disclosure. Furthermore, the proposed methods described above can be implemented independently, but they can also be implemented in the form of a combination (or merge) of some of the proposed methods. Information regarding the applicability of the proposed methods (or information regarding the rules of the proposed methods) can be defined by a rule such that the base station notifies the terminal of the application of the proposed methods through a predefined signal (e.g., a physical layer signal or a higher layer signal).

[0207] 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 do not explicitly cite each other in the claims may be combined to form embodiments or incorporated into new claims through post-filing amendments.

[0208] 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.

[0209] 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.

[0210] 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 first terminal in a wireless communication system, A step of determining frequency hopping related parameter values ​​based on user setting information; A step of encoding information bits to generate at least one codeword; A step of generating modulation symbols based on at least one codeword; A step of transmitting an orthogonal frequency division multiplexing (OFDM) signal including the above modulation symbols to a second terminal; and A step of performing sensing based on a reflection signal of the OFDM signal, An operation method of a first terminal, wherein the OFDM signal including the modulation symbols is allocated to time resources and frequency resources based on the frequency hopping related parameter values, and the user setting information includes a distance resolution and a maximum detection speed.

2. In paragraph 1, a step of determining the above user setting information; and A method of operating a first terminal, further comprising the step of transmitting the frequency hopping related parameter value to the second terminal.

3. In paragraph 2, The above frequency hopping related parameter values ​​include bandwidth, OFDM symbol period, frequency hopping size, and total OFDM symbol period. A method of operating a first terminal, wherein the bandwidth is determined based on the distance resolution, and the OFDM symbol period is determined based on the maximum detection rate.

4. In paragraph 3, A method of operating a first terminal, wherein the first terminal determines the frequency hopping size and the total OFDM symbol period based on the determined bandwidth and OFDM symbol period.

5. In paragraph 4, The operating method of the first terminal, wherein the frequency hopping size is determined as a value greater than or equal to a value obtained by dividing the bandwidth by the number of transmitting antennas and a value obtained by dividing the bandwidth by the number of receiving antennas.

6. In paragraph 5, The operating method of the first terminal, wherein the total OFDM symbol period is determined by multiplying the OFDM symbol period by a value that is smaller than or equal to the number of the transmitting antennas and the number of the receiving antennas.

7. In paragraph 6, A method of operating a first terminal, wherein, when the OFDM signal is allocated to the time resource and the frequency resource based on the frequency hopping-related parameter values, the OFDM signal is allocated and transmitted to the entire frequency resource based on the frequency hopping-related parameter during the entire OFDM symbol period.

8. In paragraph 3, The above user configuration information further includes maximum detection distance and speed resolution, An operating method of a first terminal, wherein the prefix period of the OFDM signal is determined based on the maximum detection distance, and the entire OFDM symbol period is determined based on the speed resolution.

9. In paragraph 1, A method of operating a first terminal, wherein the user setting information is obtained through user input of a parameter value related to sensing of the first terminal or determined based on information preset in the first terminal.

10. In paragraph 1, The above first terminal monitors the external environment to obtain sensor values, A method of operating a first terminal, wherein the user setting information is determined based on the sensor value.

11. In paragraph 1, The first terminal obtains at least one piece of information from a JCAS (joint communication and sensing) resource database, A method of operating a first terminal, wherein the user setting information is determined based on at least one piece of information obtained above.

12. In paragraph 11, The above JCAS resource database is learned using an artificial intelligence model, and the learning of the artificial intelligence model is based on the frequency hopping-related parameter values, wherein the first terminal's operating method.

13. In paragraph 1, a step of determining the above user setting information; and Further comprising a step of transmitting the frequency hopping related parameter values ​​to the base station, A method of operating a first terminal, wherein the above frequency hopping related parameters are transmitted to the second terminal by the base station.

14. In paragraph 1, a step of transmitting the user setting information to the base station; and Further comprising a step of receiving the frequency hopping related parameter value from the base station, A method of operating a first terminal, wherein the base station determines the frequency hopping related parameter values ​​based on the user setting information and transmits them to the first terminal and the second terminal.

15. In a method of operating a second terminal in a wireless communication system, A step of receiving frequency hopping related parameters based on user setting information from a first terminal; A step of receiving an OFDM signal including modulation symbols from the first terminal; A step of extracting the modulation symbols based on the received OFDM signal; A step of generating at least one codeword based on the above modulation symbols; and A step of generating information bits based on at least one codeword, The above user configuration information includes distance resolution and maximum detection speed, A method of operating a second terminal, wherein the OFDM signal including the modulation symbols is allocated to time resources and frequency resources based on the frequency hopping related parameter values.

16. In a wireless communication system, in the first terminal, Transmitter and receiver; and A processor connected to the above transmitter and receiver is included, The above processor, Determine the frequency hopping related parameter values ​​based on user setting information, Encode the information bits to generate at least one codeword, Generating modulation symbols based on at least one codeword, Transmitting an OFDM (orthogonal frequency division multiplexing) signal including the above modulation symbols to a second terminal, and Control to perform sensing based on the reflected signal of the above OFDM signal, A first terminal, wherein the OFDM signal including the modulation symbols is allocated to time resources and frequency resources based on the frequency hopping related parameter values, and the user setting information includes a distance resolution and a maximum detection speed.

17. In a second terminal in a wireless communication system, Transmitter and receiver; and A processor connected to the above transmitter and receiver is included, The above processor, Receive frequency hopping related parameters based on user setting information from the first terminal, Receive an OFDM signal including modulation symbols from the first terminal, Extracting the modulation symbols based on the received OFDM signal, Generating at least one codeword based on the above modulation symbols, and Control to generate information bits based on at least one codeword, The above user configuration information includes distance resolution and maximum detection speed, A second terminal, wherein the OFDM signal including the modulation symbols is allocated to time resources and frequency resources based on the frequency hopping related parameter values.

18. 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, A step of determining frequency hopping related parameter values ​​based on user setting information; A step of encoding information bits to generate at least one codeword; A step of generating modulation symbols based on at least one codeword; A step of transmitting an orthogonal frequency division multiplexing (OFDM) signal including the above modulation symbols to a second terminal; and A step of performing sensing based on a reflection signal of the OFDM signal, A communication device, wherein the OFDM signal including the modulation symbols is allocated to time resources and frequency resources based on the frequency hopping related parameter values, and the user setting information includes a distance resolution and a maximum detection rate.

19. 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: Determine the frequency hopping related parameter values ​​based on user setting information, Encode the information bits to generate at least one codeword, Generating modulation symbols based on at least one codeword, Transmitting an OFDM (orthogonal frequency division multiplexing) signal including the above modulation symbols to a second terminal, and Control to perform sensing based on the reflected signal of the above OFDM signal, A computer-readable medium wherein the OFDM signal including the modulation symbols is allocated to time resources and frequency resources based on the frequency hopping related parameter values, and the user setting information includes a distance resolution and a maximum detection rate.

Images