Method performed by base station or user equipment, base station, and user equipment

Abstract

The present disclosure provides a method performed by a base station, a method performed by a user equipment (UE), a UE, and a base station. The method performed by a base station comprises the steps of: transmitting, to a UE, a capability inquiry message including frequency domain spectrum shaping (FDSS)-related information; receiving a capability information message from the UE; identifying whether the capability information message includes information on an FDSS type used by the UE; and when the capability information message includes the information on the FDSS type used by the UE, receiving an uplink signal on the basis of the FDSS type used by the UE.

Description

A method performed by a base station or a user terminal, a base station and a user terminal

[0001] The present disclosure relates to a wireless communication system, and more specifically to a method performed by a base station, a method performed by a user terminal (User Equipment) (UE), a base station, and a user terminal.

[0002] Looking back at the evolution of wireless communication through successive generations, technologies have been developed primarily for human-oriented services, such as voice, multimedia, and data. Following the commercialization of 5G (5th-generation) communication systems, connected devices, which have been increasing explosively, are expected to be connected to communication networks. Examples of networked objects include vehicles, robots, drones, home appliances, displays, smart sensors installed in various infrastructures, construction machinery, and factory equipment. Mobile devices are expected to evolve into various form factors, such as augmented reality glasses, virtual reality headsets, and holographic devices. In the 6G (6th-generation) era, efforts are underway to develop improved 6G communication systems to connect hundreds of billions of devices and objects to provide diverse services. For this reason, 6G communication systems are being referred to as "beyond 5G" systems.

[0003] In the 6G communication system predicted to be realized around 2030, the maximum transmission speed is tera (i.e., 1,000 gigabit) bps, and the wireless latency is 100 microseconds (μsec). In other words, compared to the 5G communication system, the transmission speed in the 6G communication system is 50 times faster, and the wireless latency is reduced to one-tenth.

[0004] To achieve such high data transmission speeds and ultra-low latency, 6G communication systems are being considered for implementation in the terahertz band (e.g., the 95 GHz to 3 terahertz (3 THz) band). In the terahertz band, due to more severe path loss and atmospheric absorption compared to the millimeter wave (mmWave) band introduced in 5G, the importance of technology capable of guaranteeing signal reach, or coverage, is expected to increase. As key technologies to ensure coverage, radio frequency (RF) devices, antennas, new waveforms that offer better coverage than orthogonal frequency division multiplexing (OFDM), beamforming, and multi-antenna transmission technologies such as massive multiple-input and multiple-output (massive MIMO), full-dimensional MIMO (FD-MIMO), array antennas, and large-scale antennas must be developed. In addition, new technologies such as metamaterial-based lenses and antennas, high-dimensional spatial multiplexing technology using orbital angular momentum (OAM), and reconfigurable intelligent surface (RIS) are being discussed to improve coverage of terahertz band signals.

[0005] In addition, to improve frequency efficiency and system network, development is underway in 6G communication systems for full duplex technology, in which uplink and downlink simultaneously utilize the same frequency resources at the same time; network technology that integrates satellites and HAPS (high-altitude platform stations); network structure innovation technology that supports mobile base stations and enables network operation optimization and automation; dynamic spectrum sharing technology through collision avoidance based on spectrum usage prediction; AI-based communication technology that utilizes AI (artificial intelligence) from the design stage and internalizes end-to-end AI support functions to realize system optimization; and next-generation distributed computing technology that realizes services of complexity exceeding the limits of terminal computing capabilities by utilizing ultra-high performance communication and computing resources (mobile edge computing (MEC), cloud, etc.). In addition, attempts are continuing to further strengthen connectivity between devices, further optimize networks, promote the softwareization of network entities, and increase the openness of wireless communication through the design of new protocols to be used in 6G communication systems, the implementation of hardware-based security environments, the development of mechanisms for the safe utilization of data, and the development of technologies regarding privacy maintenance methods.

[0006] Due to the research and development of such 6G communication systems, it is expected that a new dimension of hyper-connected experience will become possible through the hyper-connectivity of 6G communication systems, which encompasses not only connections between objects but also connections between people and objects. Specifically, it is projected that 6G communication systems will enable the provision of services such as truly immersive extended reality (truly immersive XR), high-fidelity mobile holograms, and digital replicas. Furthermore, services such as remote surgery, industrial automation, and emergency response, which are provided through 6G communication systems with enhanced security and reliability, will be applied in various fields including industry, healthcare, automotive, and home appliances.

[0007] The present disclosure aims to provide a receiver operation and a signaling method and apparatus for reducing PAPR (peak to average power ratio) by recognizing FDSS usage information of a terminal at a base station through signaling.

[0008] The present disclosure aims to provide a receiver operation and device for reducing PAPR by estimating FDSS usage information based on a signal received from a terminal when the base station does not recognize the FDSS usage information of the terminal.

[0009] The technical problems to be solved in one embodiment of the present disclosure are not limited to those mentioned above, and other technical problems not mentioned may be considered by those skilled in the art from one embodiment of the present disclosure described below.

[0010] In one embodiment of the present disclosure, a method performed by a base station is provided, the method comprising: transmitting a capability query message containing information related to Frequency Domain Spectrum Shaping (FDSS) to a terminal; receiving a capability information message from the terminal; identifying whether the capability information message contains information regarding the type of FDSS used by the terminal; and, if the capability information message contains information regarding the type of FDSS used by the terminal, receiving an uplink signal based on the type of FDSS used by the terminal.

[0011] In one embodiment of the present disclosure, a method performed by a base station is provided, the method comprising: receiving a signal from a terminal; determining whether the terminal uses Frequency Domain Spectrum Shaping (FDSS) based on the received signal; determining the type of FDSS used by the terminal based on the received signal if it is determined that the terminal uses FDSS; and performing matched filtering based on the determined type of FDSS.

[0012] In one embodiment of the present disclosure, a method performed by a base station is provided, the method comprising: a transceiver; and at least one processor connected to the transceiver. The at least one processor transmits a capability query message containing information related to Frequency Domain Spectrum Shaping (FDSS) to a terminal, receives a capability information message from the terminal, identifies whether the capability information message contains information regarding the type of FDSS used by the terminal, and if the capability information message contains information regarding the type of FDSS used by the terminal, receives an uplink signal based on the type of FDSS used by the terminal.

[0013] In one embodiment of the present disclosure, a method performed by a base station is provided, the method comprising: a transceiver; and at least one processor connected to the transceiver. The at least one processor receives a signal from a terminal, determines whether the terminal uses Frequency Domain Spectrum Shaping (FDSS) based on the received signal, and if it is determined that the terminal uses FDSS, determines the type of FDSS used by the terminal based on the received signal, and performs matched filtering based on the determined type of FDSS.

[0014] According to the present disclosure, the receiver operation and signaling method and apparatus for recognizing FDSS usage information of a terminal in a wireless communication system can improve the performance of the receiver by reducing PAPR.

[0015] According to the present disclosure, there is a receiver operation and device for estimating when the FDSS usage information of a terminal in a wireless communication system is not recognized, and the performance of the receiver can be improved by reducing PAPR.

[0016] The effects obtainable from one embodiment of the present disclosure are not limited to those mentioned above, and other unmentioned effects can be clearly derived and understood by those skilled in the art based on the following detailed description.

[0017] FIG. 1 illustrates a wireless communication system according to one embodiment of the present disclosure.

[0018] FIG. 2 is a block diagram of a signal processing procedure using FDSS-SE in a transmitter according to one embodiment of the present invention.

[0019] FIG. 3 is a flowchart of a method for a base station to acquire FDSS information of a terminal according to one embodiment of the present disclosure.

[0020] FIG. 4 illustrates a capability query message transmitted by a base station to a terminal according to one embodiment of the present disclosure.

[0021] FIG. 5 illustrates a capability information message transmitted by a terminal to a base station according to one embodiment of the present disclosure.

[0022] FIG. 6 is a flowchart of a signal identifying information regarding whether a base station and a terminal use FDSS according to one embodiment of the present disclosure.

[0023] FIG. 7 illustrates a capability query message transmitted by a base station to a terminal according to one embodiment of the present disclosure.

[0024] FIG. 8 illustrates a capability information message transmitted by a terminal to a base station according to one embodiment of the present disclosure.

[0025] FIG. 9 illustrates the flow of signals in which a terminal transmits FDSS type change information to a base station according to one embodiment of the present disclosure.

[0026] FIG. 10 illustrates a capability information message transmitted by a terminal to a base station according to one embodiment of the present disclosure.

[0027] FIG. 11 is a flowchart of a Blind FDSS-based reception method of a base station according to one embodiment of the present disclosure.

[0028] FIG. 12 is a block diagram of a Blind FDSS-based receiver of a base station according to one embodiment of the present disclosure.

[0029] FIG. 13 is a flowchart showing whether a terminal uses FDSS by using the variance value of a signal received and processed by a base station according to one embodiment of the present disclosure.

[0030] FIG. 14a is a graph showing the amplitude distribution of each subcarrier for a signal received and preprocessed by a base station from a terminal according to one embodiment of the present disclosure.

[0031] FIG. 14b is a graph showing the result of determining whether to use FDSS of a terminal using the variance value of a signal received by a base station according to one embodiment of the present disclosure.

[0032] FIG. 15 is a flowchart showing whether a base station according to one embodiment of the present disclosure determines whether a terminal uses FDSS by using an artificial intelligence or machine learning model method.

[0033] FIG. 16 is a hierarchy diagram of an artificial intelligence or machine learning model of a base station according to one embodiment of the present disclosure.

[0034] FIG. 17 is a flowchart of a Blind FDSS estimation method using a polynomial-based curve fitting method for a base station according to one embodiment of the present disclosure.

[0035] FIG. 18 illustrates the structure of a base station according to one embodiment of the present disclosure.

[0036] FIG. 19 illustrates the structure of a terminal according to one embodiment of the present disclosure.

[0037] FIGS. 1 through 20 discussed below and the various embodiments used to explain the principles of the present disclosure in this patent document are merely illustrative and should not be interpreted as limiting the scope of the present disclosure in any way.

[0038] Those skilled in the art will understand that the principles of this disclosure may be implemented in any suitably arranged system or device.

[0039] The following description with reference to the accompanying drawings is provided to facilitate a comprehensive understanding of the various embodiments of the present disclosure as defined by the claims and their equivalents.

[0040] Various specific details are included to aid understanding, but these details should be considered merely illustrative.

[0041] Accordingly, those skilled in the art will recognize that various changes and modifications to the various embodiments described in this disclosure may be made without departing from the scope and spirit of this disclosure.

[0042] Additionally, descriptions of widely known functions and configurations may be omitted for clarity and brevity.

[0043] The terms and words used in the following description and claims are not limited to their bibliographic meanings and are used only by the inventor to enable a clear and consistent understanding of the present disclosure.

[0044] Accordingly, it should be apparent to those skilled in the art that the following description of various embodiments of the present disclosure is provided for illustrative purposes only and is not intended to limit the present disclosure as defined by the appended claims and their equivalents.

[0045] It should be understood that the singular forms corresponding to the use of "a," "an," and "the" include plural references unless explicitly stated otherwise.

[0046] Therefore, for example, a reference to "component surface" includes a reference to one or more of these surfaces.

[0047] The terms “comprising” or “may comprising” mean the presence of a corresponding disclosed function, operation, or component that may be used in one embodiment of the present disclosure and do not limit one or more additional functions, operations, or components.

[0048] Terms such as “include” and / or “have” may be interpreted as indicating a specific characteristic, number, step, action, component, or combination thereof, but cannot be interpreted as excluding the possibility of the existence or addition of one or more other characteristics, numbers, steps, actions, components, or combinations thereof.

[0049] In one embodiment of the present disclosure, the term “or” as used includes any or all combinations of the listed words.

[0050] For example, the expression "A or B" may include A, may include B, or may include both A and B.

[0051] Unless otherwise defined, all terms used in this disclosure, including technical or scientific terms, have the same meaning as understood by a person skilled in the art to which this disclosure pertains.

[0052] These terms, such as those defined in commonly used dictionaries, should be interpreted as having the same meaning as in the context of the relevant technical field, and should not be interpreted as having an ideal or overly formal meaning unless explicitly defined in the present disclosure.

[0053] The technical solutions of the embodiments of the present application may be applied to various communication systems, such as GSM (global system for mobile communications), code division multiple access (CDMA) systems, wideband code division multiple access (WCDMA) systems, general packet radio service (GPRS) systems, LTE (long term evolution) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, universal mobile telecommunications system (UMTS), WiMAX (worldwide interoperability for microwave access) communication systems, 5th generation (5G) systems, or NR, etc.

[0054] Additionally, the technical solutions of the embodiments of the present application can be applied to future-oriented communication technologies.

[0055] The present disclosure relates to an apparatus and method for transmitting and receiving signals in a wireless communication system. Specifically, the present disclosure describes various embodiments for reducing the peak-to-average power ratio (PAPR) in a wireless communication system.

[0056] Terms used in the following description to refer to network entities (e.g., transmitter, receiver), signal processing means (e.g., filter), and device components (e.g., communication unit, control unit) are examples provided for the convenience of explanation. Accordingly, the present disclosure is not limited to the terms described below, and other terms having equivalent technical meanings may be used.

[0057] FIG. 1 illustrates a wireless communication system according to one embodiment of the present disclosure. FIG. 1 illustrates a transmitter 110 and a receiver 120 as part of nodes utilizing a wireless channel in a wireless communication system. FIG. 1 illustrates one transmitter 110 and one receiver 120, but may include a plurality of transmitters or a plurality of receivers. Additionally, for convenience of explanation, the functions of the transmitter 110 and the receiver 120 in the present disclosure may be interchanged. For example, in the uplink of the wireless communication system, the transmitter 110 may be a terminal and the receiver 120 may be a base station, and in the downlink, the transmitter 110 may be a base station and the receiver 120 may be a terminal.

[0058] Transmitter 110 and receiver 120 can transmit and receive radio signals in the millimeter wave (mmWave) band (e.g., 28 GHz, 30 GHz, 38 GHz, 60 GHz). In this case, to improve channel gain, transmitter 110 and receiver 120 can perform beamforming. Here, beamforming includes transmit beamforming and receive beamforming. That is, transmitter 110 and receiver 120 can impart directivity to the transmit signal or the receive signal. To this end, transmitter 110 and receiver 120 can select at least one serving beam through a beam search procedure. According to various embodiments of the present disclosure, excellent PAPR reduction performance may be required due to the high-frequency characteristics of the millimeter wave band.

[0059] In addition, a wireless communication system according to various embodiments of the present disclosure may provide a service that requires the connection of a large number of terminals. Here, the service may be referred to as a massive machine type communication (mTC) service. For example, the mMTC service may be used in Internet of Things (IoT) technology. The mMTC service may require wide coverage to provide services to a large number of terminals. According to various embodiments of the present disclosure, the transmitter 110 and the receiver 120 are devices for the mMTC service, and excellent PAPR reduction performance may be required due to miniaturization or battery limitations.

[0060] PAPR is an important metric that determines the driving power of mobile devices. When PAPR is high, severe distortion occurs when passing through non-linear components such as ADCs (analog-to-digital converters), DACs (digital-to-analog converters), and power amplifiers. This requires high-performance components with high linearity, which increases unit costs. Alternatively, even if high-performance components that satisfy linearity are used, power consumption increases because the power supply voltage must be sufficiently high when using FET (field effect transistor) series components such as CMOS (complementary metal oxide semiconductor). Therefore, a high PAPR of the transmitted signal is highly likely to cause significant problems in the uplink where power and battery resources are limited. In particular, lowering PAPR is essential in environments such as mMTC in 5G (5th generation) communication, where a very large number of low-power devices are expected to connect. In 4G (4th generation) communication (e.g., LTE (Long Term Evolution)), PAPR was reduced by using DFT (discrete Fourier transform)-SOFDM (DFT-spread-OFDM), which has single-carrier properties, instead of OFDM (orthogonal frequency division multiplexing), which has high PAPR. As next-generation mobile communication requires wider coverage, technologies to improve performance for cell edge users through power boosting are being considered. However, the DFT-S-OFDM technique is not sufficient for power boosting when considering PAPR performance and amplifier performance.Existing technologies have proposed adaptively applying FDSS and FDSS-SE (FDSS-spectrum extension) to drastically reduce the peak-to-average-power ratio (PAPR) or increase frequency transmission efficiency when using OFDM with Discrete Fourier transform (DFT) precoding.

[0061] In the present disclosure, FDSS may be referred to to include both the type of FDSS filter and the operation of FDSS filtering.

[0062] FIG. 2 is a block diagram of a signal processing procedure using FDSS-SE in a transmitter according to one embodiment of the present invention.

[0063] In step 205, the transmitter receives a set of information bits, applies coding (e.g., low-density parity check (LDPC) coding), and modulates the input bits (e.g., quadrature phase shift keying (QPSK) or quadrature amplitude modulation (QAM)) to generate a frequency domain modulated symbol sequence s. The magnitude of s is (265) It may be.

[0064] In step 210, the modulation symbol sequence s and the DFT matrix used in conventional DFT-S-OFDM for DFT transformation (precoding) Multiply by. The DFT matrix used in DFT-s-OFDM The size of (270) It could be.

[0065] In step 215, the transmitter is DFT precoded The vector is transformed into a signal mapped to L subcarriers. Here, the S / 2 subcarriers at both ends of the M-magnitude vector are copied and attached to the opposite ends, satisfying L = M + S. The portion corresponding to the S / 2 subcarriers at both ends is the Spectral Extension (SE) portion.

[0066] is the last part of the SE portion in the expanded matrix. silver This could be a copied part. is the last part of the existing matrix. is the middle part of the existing matrix. is the first part of the existing matrix. is the first part of the SE portion in the expanded matrix. Is This could be a copied part.

[0067] In step 220, the transmitter has an extended L-subcarrier mapping signal and an FDSS vector in the frequency axis Multiply by . is an operator that converts an inner vector [*] into a diagonal matrix. The size is (275) It may be. The value can be set to various types of filter coefficients, such as SRRC and RRC, depending on the use and purpose. It is called Frequency Domain Spectrum Shaping (FDSS) due to its effect. By selecting a suitable FDSS filter, the PAPR of the transmitted signal can be reduced without inter-symbol interference.

[0068] In step 225, the transmitter maps signals corresponding to L subcarriers to which FDSS is applied to the subcarrier to be transmitted. Multiply the matrices. The size of (280) It can be.

[0069] In step 230, the transmitter maps the actual data multiplied by the FDSS vector to the first L inputs of the N-point inverse fast Fourier transform (IFFT), and zero-padds the remaining NL inputs to obtain the N-point IFFT matrix. You can perform IFFT by multiplying. The size is (285) It may be.

[0070] In step 235, the transmitter performs an IFFT and then adds a cyclic prefix (CP) to the time-domain discrete signal. Multiply by . The size is (290) It may be.

[0071] In steps 240 and 245, the transmitter can transmit the data to be sent through a digital-to-analog converter (DAC) and a power amplifier (PA).

[0072] When comparing the case of decoding data using a conventional receiver versus the case of decoding data using a receiver that considers FDSS and Matched Filtering, the former is inefficient due to significant loss in link performance. Accordingly, from the base station's perspective, information regarding whether the terminal is using FDSS is very important.

[0073] The present disclosure proposes an operation necessary to determine whether a terminal is using FDSS and the type thereof at a base station. In one embodiment of the present disclosure, a signaling is defined in which a base station requests FDSS information from a terminal and the terminal responds to it. In one embodiment, if the base station fails to obtain the terminal's FDSS information, a method for obtaining the terminal's FDSS information through a blind method is proposed.

[0074] FIG. 3 is a flowchart of a method for a base station to acquire FDSS information of a terminal according to one embodiment of the present disclosure.

[0075] In step S310, a base station according to one embodiment of the present disclosure may transmit a capability query message containing FDSS-related information to a terminal.

[0076] In the present disclosure, FDSS-related information may indicate at least one of whether the terminal uses FDSS, the type of FDSS previously used by the terminal, or the type of FDSS used by the terminal, but is not limited thereto.

[0077] For example, the FDSS type previously used by the terminal or the FDSS type used by the terminal may be HSP (Half-Sine Pulse), P_0.28, or P_0.335, but is not limited thereto. In P_0.28, 0.28 may refer to a shape matrix having a weight of 0.28 as an FDSS filter coefficient, and P_0.28 may refer to an FDSS type using a shape matrix having a weight of 0.28. Specifically, the subcarrier mapping signal in step 220 and the FDSS vector in the frequency axis FDSS can be applied by multiplying by . In P_0.335, 0.335 may represent a shape matrix with a weight of 0.335 as an FDSS filter coefficient, and P_0.335 may represent an FDSS type using a shape matrix with a weight of 0.335. Specifically, the subcarrier mapping signal in step 220 and the FDSS vector in the frequency axis FDSS can be applied by multiplying by .

[0078] In the present disclosure, capability query messages may be transmitted via Radio Resource Control (RRC) signaling, Medium Access Control Element (MAC CE), or Downlink Control Information (DCI) transmitted by a base station to a terminal, but are not limited thereto.

[0079] In step S320, a base station according to one embodiment of the present disclosure can receive a capability information message from a terminal.

[0080] In the present disclosure, the capability information message may indicate at least one of whether the terminal uses FDSS, the type of FDSS previously used by the terminal, the type of FDSS currently used by the terminal, or an unknown type of FDSS, but is not limited thereto. An unknown type of FDSS may mean an FDSS type that is not predefined between the terminal and the base station, or a case where the terminal does not wish to notify the base station of the FDSS type.

[0081] The capability information message received in the present disclosure may be transmitted via RRC signaling, MAC CE, or UCI (Uplink Control Information) received by the base station from the terminal, but is not limited thereto.

[0082] In step S330, a base station according to one embodiment of the present disclosure can identify whether the capability information message contains information regarding the type of FDSS used by the terminal.

[0083] In step S340, if it is identified that the capability information message of step S330 contains information regarding the FDSS type used by the terminal, the uplink signal can be received based on the FDSS type information used by the terminal. For example, the base station can perform matched filtering based on the FDSS type information used by the terminal.

[0084] As an example, information regarding the FDSS type used by the terminal may include the FDSS type that the terminal used in the past or the FDSS type that the terminal is currently using.

[0085] In step S350, if information regarding the type of FDSS used by the terminal is not identified in the capability information message of step S330, a Blind FDSS-based receiving operation may be performed. In the present disclosure, a Blind FDSS-based receiving operation may refer to estimating whether the terminal uses FDSS or the type of FDSS used by the terminal, and receiving an uplink signal based on the estimation result.

[0086] FIG. 4 illustrates a capability query message from a base station to a terminal according to one embodiment of the present disclosure.

[0087] In one embodiment, the base station may be connected to the terminal via communication through a network connection to transmit and receive NR (New Radio) communication network data. The capability query message may be a UECapabilityEnquiry RRC message transmitted by the base station from the terminal.

[0088] In one embodiment, the UECapabilityEnquiry RRC message transmitted from the base station to the terminal may include fdssType information, which is information regarding the FDSS type that the terminal has used or is using, and transmit the message to the terminal. For example, the fdssType information may have values ​​such as NoFDSS, HSP, P_0.28, and Unknown, but is not limited thereto. NoFDSS may mean that the terminal is not using an FDSS. Unknown may mean that the FDSS type is unknown (or not predefined) between the terminal and the base station, or that the terminal does not want to inform the base station of the FDSS type.

[0089] FIG. 5 illustrates a capability information message transmitted by a terminal to a base station according to one embodiment of the present disclosure.

[0090] In one embodiment, the terminal can be connected to a base station via communication through a network connection to transmit and receive NR (New Radio) communication network data. The capability information message may be a UE-NR-Capability RRC message transmitted by the terminal in response to a UECapabilityEnquiry RRC message received from the base station.

[0091] In one embodiment, the UE-NR-Capability RRC message may include a Phy-ParametersCommon information element.

[0092] In one embodiment, the terminal may transmit a message to the base station by adding fdssType information, which is information regarding the type of FDSS that the terminal has used or is using, to the Phy-ParamtersCommon information element. For example, the FDSSType information may have values ​​such as NoFDSS, HSP, P_0.28, Unknown, etc., but is not limited thereto. NoFDSS may mean that the terminal is not using FDSS. Unknown may mean that the FDSS type is unknown (or not predefined) between the terminal and the base station, or that the terminal does not want to inform the base station of the FDSS type.

[0093] FIG. 6 is a flowchart of a signal identifying information regarding whether a base station and a terminal use FDSS according to one embodiment of the present disclosure.

[0094] In one embodiment, the base station (601) may only query the terminal (602) regarding whether to use FDSS when the terminal (602) uses only a predefined FDSS type, but is not limited thereto. Additionally, the base station (601) may query the terminal (602) regarding whether to use FDSS separately before querying the terminal (602) regarding the FDSS type used, may query the terminal (602) regarding whether to use FDSS after querying the FDSS type, and may query simultaneously.

[0095] In one embodiment, the base station (601) transmits a capability query message containing FDSS-related information to the terminal (602), but if it receives an Unknown capability information message from the terminal (602), the base station (601) may query the terminal (602) whether to use FDSS.

[0096] In step S610, the base station (601) may send a message to the terminal (602) inquiring about whether the terminal is using FDSS.

[0097] A message in which the base station (601) inquires with the terminal (602) about whether the terminal (602) uses FDSS may be transmitted via RRC signaling, MAC CE, or DCI transmitted by the base station (601) to the terminal (602), but is not limited thereto.

[0098] In step S620, the terminal (602) can transmit information regarding whether the terminal uses FDSS to the base station (601).

[0099] Information regarding usage may include information on whether the terminal (602) uses FDSS or not.

[0100] A message transmitting information regarding whether the terminal (602) uses FDSS to the base station (601) may be transmitted via RRC signaling, MAC CE, or UCI received by the base station (601) from the terminal (602), but is not limited thereto.

[0101] FIG. 7 illustrates a capability query message transmitted by a base station to a terminal according to one embodiment of the present disclosure.

[0102] In one embodiment, the base station may be connected to the terminal via communication through a network connection to transmit and receive NR (New Radio) communication network data. The capability query message may be a UECapabilityEnquiry RRC message transmitted by the base station from the terminal.

[0103] In one embodiment, the UECapabilityEnquiry RRC message transmitted from the base station to the terminal may include fdssType information, which is information regarding whether the terminal uses FDSS, and transmit the message to the terminal. For example, the fdssUse information may have values ​​of Supported or notSupported, but is not limited thereto. Supported may mean that the terminal uses FDSS. notSupported may mean that the terminal does not use FDSS.

[0104] FIG. 8 illustrates a capability information message transmitted by a terminal to a base station according to one embodiment of the present disclosure.

[0105] In one embodiment, the terminal can be connected to a base station via communication through a network connection to transmit and receive NR (New Radio) communication network data. The capability information message may be a UE-NR-Capability RRC message transmitted by the terminal in response to a UECapabilityEnquiry RRC message received from the base station.

[0106] In one embodiment, the UE-NR-Capability RRC message may include a Phy-ParametersCommon information element.

[0107] In one embodiment, the terminal may transmit a message to the base station by adding fdssUse information, which is information regarding whether the terminal uses FDSS, to the Phy-ParamtersCommon information element. For example, the fdssUse information may have a value of Supported or notSupported, but is not limited thereto. Supported may mean that the terminal uses FDSS. notSupported may mean that the terminal does not use FDSS.

[0108] FIG. 9 illustrates the flow of signals in which a terminal transmits FDSS type change information to a base station according to one embodiment of the present disclosure.

[0109] In one embodiment, the terminal (902) may change the FDSS type of the terminal (902) and transmit information about it to the base station (901) when a specific condition is met. Specific conditions include, but are not limited to, cases where there is a sudden change in the performance or signal quality of the wireless communication link, cases where there is a change instruction for the FDSS type from an upper layer, or cases where a change in the MCS (Modulation and Coding Scheme) of the PUSCH (Physical Uplink Shared Channel) occurs.

[0110] In one embodiment, the terminal (902) may transmit FDSS type change information to the base station (901) after the FDSS type is changed, and it is also possible to transmit FDSS type change information immediately before the FDSS type is changed. In the case of FIG. 9, a method of transmitting change information after the FDSS type is changed is illustrated, but this is merely a representative embodiment and the order can be changed.

[0111] In step S910, the type of FDSS used by the terminal (902) can be changed.

[0112] In step S920, the terminal (902) can transmit information on the change of the FDSS type used by the terminal (902) to the base station (901).

[0113] The message in which the terminal (902) transmits FDSS type change information to the base station (901) may be transmitted via RRC signaling, MAC CE, or UCI received by the base station (901) from the terminal (902), but is not limited thereto.

[0114] FIG. 10 illustrates a capability information message transmitted by a terminal to a base station according to one embodiment of the present disclosure.

[0115] In one embodiment, the terminal can be connected to a base station via network connection to transmit and receive NR (New Radio) communication network data. The capability information message may be a UE-NR-Capability RRC message transmitted by the terminal from the base station.

[0116] In one embodiment, the UE-NR-Capability RRC message may include a Phy-ParametersCommon information element.

[0117] In one embodiment, the terminal may transmit a message to the base station by adding fdssType information, which is information regarding the FDSS type that the terminal has changed, to the Phy-ParamtersCommon information element. For example, the FDSSType information may have values ​​such as NoFDSS, HSP, P_0.28, Unknown, etc., but is not limited thereto. NoFDSS may mean that the terminal does not use FDSS. Unknown may mean that the FDSS type is unknown (or not predefined) between the terminal and the base station, or that the terminal does not want to inform the base station of the FDSS type.

[0118] FIG. 11 is a flowchart of a Blind FDSS-based reception method of a base station according to one embodiment of the present disclosure.

[0119] In step S1110, a base station according to one embodiment of the present disclosure can receive a signal from a terminal.

[0120] In one embodiment, a signal received by a base station from a terminal may include at least one of a data signal (including an uplink data channel), a control signal (including a control channel carrying a UCI), and an uplink reference signal (RS).

[0121] In step S1120, the base station can determine whether the terminal uses FDSS based on the received signal.

[0122] In one embodiment, to determine whether the terminal uses FDSS, the base station may process a signal received from the terminal and use statistical features therefrom, or use an artificial intelligence (AI) or machine learning (ML) model based on the signal received from the terminal, but is not limited thereto.

[0123] Statistical features may include, but are not limited to, the variance, standard deviation, mean, and probability distribution of the processed signal.

[0124] In step S1130, if the base station determines that the terminal uses FDSS, the base station can determine the type of FDSS used by the terminal.

[0125] The base station may have a different method for determining the FDSS type used by the terminal depending on whether the candidate for the FDSS type used by the terminal is predefined or not predefined.

[0126] For example, if the base station has predefined FDSS type candidates for the terminal, it can calculate the loss function between the signal received from the terminal and each FDSS type candidate and determine the FDSS type with the smallest function value as the FDSS type used by the terminal, but the method is not limited to this.

[0127] As an example, the mean squared error (MSE), cross entropy error (CEE), etc. may be used as loss functions. However, it is not limited thereto, and other loss functions may be used as long as the deviation, error, or difference between the received signal and the FDSS type can be measured.

[0128] If the base station does not have a predefined candidate for the FDSS type of the terminal, it can determine the FDSS type used by the terminal by performing curve fitting on a signal received from the terminal and preprocessed, but the method is not limited to this.

[0129] Curve fitting may mean generating the curve that best fits a set of points. In one embodiment, a least squares fit for a polynomial-based curve is used. A set of points may be curve-fitted using polynomial curves, e.g., a quartic curve, a quadratic curve, a linear curve, another polynomial-based curve, and / or a combination of these curves. In one embodiment, among the combinations of curves, a linear curve may be used for a first portion of the locations, and a higher-order polynomial curve may be used for a second portion of the locations. In one embodiment, a lower-order polynomial equation may be used for a limited number of locations. For example, a linear curve or a quadratic curve may be used for locations associated with 0 to 650 counts.

[0130] In step S1140, the base station can perform channel estimation and channel equalization (CE) based on the determined FDSS type.

[0131] In step S1150, matched filtering can be performed based on the determined FDSS type and the channel equalized signal.

[0132] In step S1160, if the base station of step S1120 determines that it does not use the terminal's FDSS, it may perform channel estimation and channel equalization based on the signal received from the terminal.

[0133] FIG. 12 is a block diagram of a Blind FDSS-based receiver of a base station according to one embodiment of the present disclosure.

[0134] In step S1201, the DFT-s-OFDM-based Time Domain data signal symbol received by the base station from the terminal and Time Domain DMRS reference signal symbol Receives. Each received signal is subjected to FFT (Fast Fourier Transform) to obtain Frequency Domain data signals. and Frequency Domain DMRS signals It can be converted to.

[0135] In step S1202, the converted Frequency Domain data and DMRS signal enter the FDSS detection and estimation block. Since the base station according to one embodiment of the present disclosure determines that the terminal is using FDSS, it performs a procedure to estimate the type of FDSS used by the terminal. The FDSS Coefficients estimated as the result of the FDSS type estimation procedure It can come out.

[0136] In step S1203, the base station uses the estimated FDSS coefficients and the DMRS transmitting to the terminal The DMRS multiplied by the FDSS filter by multiplying by You can obtain.

[0137] In step S1204, the base station DMRS Using this, channel estimation methods such as the Least Squares (LS) and Linear Minimum Mean Square Error (LMMSE) are performed, and the estimated channel information is This can come out as the result value.

[0138] In step S1205, the base station is a Frequency Domain data signal is the estimated channel information It performs channel equalization such as LMMSE or Zero Forcing (ZF) using it, and the data signal with the equalizer applied. You can obtain.

[0139] In step S1206, the base station receives the data signal with the equalizer reflected. and estimated FDSS Coefficients Perform matched filtering by multiplying to the result You can obtain.

[0140] In step S1207, the base station performs matched filtering and the result value obtained is The result of performing IDFT Despreading on You can obtain.

[0141] In step S1208, the base station can obtain a value converted from a Symbol value to an LLR (log-likelihood ratio) through a Demapper.

[0142] In step S1209, the base station can obtain the final decoded data bit stream by inputting the LLR value into the channel decoder.

[0143] FIG. 13 is a flowchart showing whether a terminal uses FDSS by using the variance value of a signal received and processed by a base station according to one embodiment of the present disclosure.

[0144] In step S1310, the base station performs an FFT on the signal received from the terminal to convert the frequency domain data signal. and frequency domain DMRS signal Preprocessing is performed on it. For example, for the amplitude values ​​of the received signal mapped to each subcarrier, an average value vector is calculated along the multiple symbol axis, and this It is referred to as. After that, The signal flipped on the frequency axis and The signal preprocessed to obtain the variance value by calculating the mean of You can obtain the flipped version. The flipped version refers to an operation that reverses the elements of a specific vector. For example, if the original vector is [1, 2, 3, 4], the flipped version becomes [4, 3, 2, 1].

[0145] In step S1320, the base station It is possible to measure the variance value and identify whether the variance value is greater than a specific threshold.

[0146] In step S1330, the measured If the variance value is greater than a specific threshold, the base station can determine that the terminal is using FDSS.

[0147] In step S1340, the measured If the variance value is smaller than a specific threshold, the base station can determine that the terminal is not using FDSS.

[0148] FIG. 14a is a graph showing the amplitude distribution of each subcarrier for a signal received and preprocessed by a base station from a terminal according to one embodiment of the present disclosure.

[0149] Referring to FIG. 14a, for a signal received and processed by a base station according to one embodiment from a terminal, in the case of 8 resource blocks (RB), i.e., 96 subcarriers The amplitude distribution of each subcarrier is illustrated, but this is merely a representative example and is not limited thereto.

[0150] The horizontal axis represents each subcarrier, and the vertical axis represents the amplitude value of the frequency domain signal for each subcarrier. The dot indicates the case where the terminal does not use FDSS. It indicates the distribution of values, and the X mark indicates the case where the terminal uses FDSS. It represents the distribution of values.

[0151] For example, in the case of FIG. 14a, when the terminal does not use FDSS, the variance value is calculated to be 0.02226, and when the terminal uses FDSS, the variance value is calculated to be 0.056168. According to one embodiment of the present disclosure, in the case of FIG. 14a, if the threshold value is set to 0.04, it is possible to accurately determine whether FDSS is used.

[0152] FIG. 14b is a graph showing the result of determining whether to use FDSS of a terminal using the variance value of a signal received by a base station according to one embodiment of the present disclosure.

[0153] As can be seen in [Table 1] below, there are 4 cases of the estimation results.

[0154]

[0155] A case where the base station estimates that the terminal is using FDSS when the terminal actually sends a signal using FDSS is referred to as a Hit. A case where the base station estimates that the terminal is not using FDSS when the terminal actually sends a signal using FDSS is referred to as a Miss detection. A case where the base station estimates that the terminal is using FDSS when the terminal actually sends a signal without using FDSS is referred to as a False alarm. A case where the base station estimates that the terminal is using FDSS when the terminal actually sends a signal without using FDSS is referred to as a Correct rejection.

[0156] In Fig. 14b, the horizontal axis represents the signal-to-noise ratio (SNR), and the vertical axis represents the probability of miss detection and false alarm.

[0157] Referring to Fig. 14b, when the SNR was 30dB, the results showed a miss detection rate of 0.45% and a false alarm rate of 0.05%.

[0158] FIG. 15 is a flowchart showing whether a base station according to one embodiment of the present disclosure determines whether a terminal uses FDSS by using an artificial intelligence or machine learning model method.

[0159] In step S1510, the base station can preprocess the signal received from the terminal.

[0160] For example, the base station can convert the received signal from the time domain to the frequency domain through a Fourier transform, reduce noise, perform filtering to emphasize specific parts, or perform normalization, and can perform the same signal preprocessing steps as those performed in step S1310.

[0161] In step S1520, the base station The value of can be used to identify whether the terminal uses FDSS using an artificial intelligence or machine learning model.

[0162] An artificial intelligence or machine learning model can receive a signal as input that has been preprocessed after being received from a terminal.

[0163] As one embodiment, an artificial intelligence or machine learning model may include a convolution layer for generating a feature map, a pooling layer for performing a pooling operation on the feature map generated from the convolution layer, a flatten layer for dimensionality reduction, and a fully connected (FC) layer for performing a fully connected operation.

[0164] Pooling operations can refer to operations that perform subsampling on features extracted through convolution operations. Pooling operations may include max pooling, which extracts the maximum value, and average pooling, which extracts the average value.

[0165] A fully linked operation can refer to an operation where every node in the previous layer connects every node in the next layer. A fully linked layer is referred to as an output layer and can represent a class score in classification problems.

[0166] In step S1530, the base station may determine that the terminal uses FDSS by using an artificial intelligence or machine learning model.

[0167] The base station can determine that the terminal is using FDSS based on the output value of an artificial intelligence or machine learning model.

[0168] In step S1540, the base station may determine that the terminal does not use FDSS by using an artificial intelligence or machine learning model.

[0169] The base station can determine that the terminal is not using FDSS based on the output value of an artificial intelligence or machine learning model.

[0170] FIG. 16 is a hierarchy diagram of an artificial intelligence or machine learning model of a base station according to one embodiment of the present disclosure.

[0171] Referring to FIG. 16, an artificial intelligence or machine learning model according to one embodiment is illustrated as including two convolutional layers, two pooling layers, one platen layer, and two fully connected layers, but this is merely a representative embodiment and is not limited thereto.

[0172] A convolution layer performs the function of extracting a feature map by performing a convolution operation on an input preprocessed signal using at least one filter or kernel.

[0173] The pooling layer is placed between at least some of the convolution layers and performs pooling on the feature maps output from the convolution layers.

[0174] The flatten layer performs the function of converting the input feature map into a one-dimensional matrix.

[0175] The fully connected layer includes multiple nodes and performs the function of generating a final classification result by connecting each node with a one-dimensional matrix output from the flatten layer.

[0176] The first convolution layer (1605) can generate a first feature map by performing a convolution operation with a filter on an input preprocessed signal 96*1 matrix. The first convolution layer may have a Rectified Linear Unit (ReLU) activation function applied. The ReLU function may include a Leaky-ReLU activation function, and the coefficients of the ReLU activation function may be determined experimentally with various values. Additionally, the number of 5*1 filters of the first convolution layer (1605) may be set to 16. As an example embodiment, the first feature map is a 92*16 matrix as illustrated.

[0177] The first pooling layer (1610) performs pooling on the first feature map to generate a second feature map. Here, the pooling may be performed using max pooling. However, this is exemplary, and average pooling may also be performed. Additionally, the pooling size of the first pooling layer (1610) may be set to 2. The second feature map may be a matrix of the form 46*16.

[0178] The second convolution layer (1615) can generate a third feature map by performing a convolution operation with a filter on the second feature map output from the first pooling layer (1610). The second convolution layer may have a Rectified Linear Unit (ReLU) activation function applied. The ReLU function may include a Leaky-ReLU activation function, and the coefficients of the ReLU activation function may be determined experimentally with various values. Additionally, the number of 5*16 filters in the second convolution layer (1615) may be set to 32. The third feature map may be a matrix of the form 42*32.

[0179] The second pooling layer (1620) performs pooling again on the third feature map to generate a fourth feature map. Additionally, the pooling size of the second pooling layer (1620) can be set to 2. The fourth feature map is a matrix of the shape 21*32.

[0180] The flatten layer (1625) converts the input fourth feature map into a one-dimensional matrix. For example, a 672*1 matrix can be generated.

[0181] The first fully connected layer (1630) and the second fully connected layer (1635) are arranged sequentially to sequentially fully connect the one-dimensional matrix output from the flatten layer (1625) with the nodes constituting each fully connected layer (1630, 1635), thereby finally generating a classification result. For example, the first fully connected layer (1630) can be set to apply RELU as an activation function. The second fully connected layer (1635) can have a softmax function applied as an activation function.

[0182] In the case of the artificial intelligence and machine learning model proposed in the present invention, when the number of symbols is set to 1000 each for when the terminal uses FDSS and when it does not use FDSS based on the signal received by the base station from the terminal, the probability results of the base station making Miss detection and False Alarm according to SNR can be seen in [Table 2].

[0183]

[0184] It can be observed that as the SNR value increases, the probability of Miss detection and False Alarm decreases. Specifically, when the SNR is 0, the probability of Miss detection was 0.185, but it decreased to 0.02 when the SNR is 6 and to 0.005 when the SNR is 30. Similarly, when the SNR is 0, the probability of False Alarm was 0.115, but it decreased to 0.075 when the SNR is 6 and to 0.035 when the SNR is 30.

[0185] For the proposed artificial intelligence and machine learning model, 80% of the symbols were used to train the model, and the result value is the result value of 20% of the symbols.

[0186] Based on the same model, when the terminal uses FDSS and when it does not use it, the number of symbols is set to 10,000 each. The results of the probability of the base station detecting Miss and False Alarm according to SNR can be seen in [Table 3].

[0187]

[0188] Specifically, when SNR was 0, the probability of Miss detection was 0.095, but decreased to 0.026 when SNR was 6 and to 0.001 when SNR was 30. Similarly, when SNR was 0, the probability of False Alarm was 0.104, but decreased to 0.057 when SNR was 6 and to 0.0065 when SNR was 30.

[0189] It can be observed that as the number of symbols increases, the probability of miss detection and false alarm decreases.

[0190] According to one embodiment, if candidates for the FDSS type used by a terminal are predefined at a base station, the candidate for the FDSS type having the lowest error value for the preprocessed signal among the defined candidates for the FDSS type can be estimated as the FDSS type used by the terminal. Received sample For each of the candidate FDSS After normalizing the Power to 1, the MSE is calculated, and the FDSS with the lowest MSE value is selected to find out which FDSS the terminal is using.

[0191] FIG. 17 is a flowchart of a Blind FDSS estimation method using a polynomial-based curve fitting method for a base station according to one embodiment of the present disclosure.

[0192] In step S1710, the base station may perform preprocessing on the signal received from the terminal. For example, the base station may convert the received signal from the time domain to the frequency domain through a Fourier transform, reduce noise, perform filtering to emphasize specific parts, or perform normalization, and may perform the same preprocessing steps as those performed in step S1310.

[0193] In step S1720, the base station can calculate polynomial coefficients through a polynomial-based curve fitting method. For example, for the amplitude values ​​of the received signal mapped to each subcarrier, an average value vector is calculated across multiple symbol axes, and this It is referred to as. After that, The version flipped on the frequency axis and Calculate the average of You can obtain. After that, It can be modeled based on functions, and through polynomial curve fitting Making it most similar to You can obtain.

[0194] In step S1730, acquired By utilizing After generating the shape, the final terminal's FDSS Filter can be determined by normalizing the overall average power value to 1.

[0195] FIG. 18 illustrates the structure of a base station according to one embodiment of the present disclosure.

[0196] As illustrated in FIG. 18, the base station of the present disclosure may include a processor (1830), a transceiver (1810), and a memory (1820). However, the components of the base station are not limited to the examples described above. For example, the base station may include more components or fewer components than those described above. In addition, the processor (1830), the transceiver (1810), and the memory (1820) may be implemented in the form of a single chip.

[0197] The processor (1830) can control a series of processes to enable the base station to operate according to the embodiments of the present disclosure described above. For example, according to the embodiments of the present disclosure, it can control the terminal to instruct the terminal to activate / deactivate the wake-up receiver or to transmit a wake-up signal to the terminal to turn the terminal's main radio ON / OFF. The processor (1830) may be one or a plurality of processors, and the processor (1830) can perform signal transmission and reception operations of the terminal when multiple DRX settings of the present disclosure described above by executing a program stored in memory (1820).

[0198] The transceiver (1810) can transmit and receive signals with a terminal. The signals transmitted and received with the terminal may include control information and data. The transceiver (1810) may be composed of an RF transmitter that up-converts and amplifies the frequency of a transmitted signal, and an RF receiver that low-noise amplifies a received signal and down-converts the frequency. However, this is merely one embodiment of the transceiver (1810), and the components of the transceiver (1810) are not limited to an RF transmitter and an RF receiver. Additionally, the transceiver (1810) can receive a signal through a wireless channel and output it to a processor (1830), and transmit the signal output from the processor (1830) through a wireless channel.

[0199] According to one embodiment, the memory (1820) can store programs and data necessary for the operation of the base station. Additionally, the memory (1820) can store control information or data included in signals transmitted and received by the base station. The memory (1820) may be composed of a storage medium or a combination of storage media such as ROM, RAM, hard disk, CD-ROM, and DVD. Additionally, there may be multiple memory (1820).

[0200] FIG. 19 illustrates the structure of a terminal according to one embodiment of the present disclosure.

[0201] As illustrated in FIG. 19, the terminal of the present disclosure may include a processor (1930), a transceiver (1910), and a memory (1920). However, the components of the terminal are not limited to the examples described above. For example, the terminal may include more components or fewer components than the components described above. In addition, the processor (1930), the transceiver (1910), and the memory (1920) may be implemented in the form of a single chip.

[0202] According to one embodiment, the processor (1930) can control a series of processes that allow the terminal to operate according to the embodiment of the present disclosure described above. The processor (1930) may be one or a plurality of processors, and the processor (1930) can perform signal transmission and reception operations of the terminal when multiple DRX settings of the present disclosure described above are executed by executing a program stored in memory (1920).

[0203] The transceiver (1910) can transmit and receive signals with a base station. The signals transmitted and received with the base station may include control information and data. The transceiver (1910) may be composed of an RF transmitter that up-converts and amplifies the frequency of a transmitted signal, and an RF receiver that low-noise amplifies a received signal and down-converts the frequency. However, this is merely an example of the transceiver (1910), and the components of the transceiver (1910) are not limited to an RF transmitter and an RF receiver. Additionally, the transceiver (1910) can receive a signal through a wireless channel and output it to a processor (1930), and transmit the signal output from the processor (1930) through a wireless channel.

[0204] According to one embodiment, the memory (1920) can store programs and data necessary for the operation of the terminal. Additionally, the memory (1920) can store control information or data included in signals transmitted and received by the terminal. The memory (1920) may be composed of a storage medium or a combination of storage media such as ROM, RAM, hard disk, CD-ROM, and DVD. Additionally, the memory (1920) may be a plurality of units.

[0205] In the specific embodiments of the present disclosure described above, the components included in the disclosure are expressed in a singular or plural form according to the specific embodiments presented. However, the singular or plural expression is selected to suit the situation presented for convenience of explanation, and the present disclosure is not limited to singular or plural components; even if a component is expressed in the plural form, it may be composed of a singular form, and even if a component is expressed in the singular form, it may be composed of a plural form.

[0206] Meanwhile, although specific embodiments have been described in the detailed description of the present disclosure, it is understood that various modifications are possible without departing from the scope of the present disclosure. For example, some or all of some embodiments may be combined with some or all of one or more other embodiments, and it is understood that such a combination also corresponds to the embodiments proposed in the present disclosure. Therefore, the scope of the present disclosure should not be limited to the described embodiments, but should be defined by the claims set forth below as well as equivalents thereof.

[0207] Although specific embodiments have been described in the detailed description of the present disclosure, it is understood that various modifications are possible without departing from the scope of the present disclosure. Therefore, the scope of the present disclosure should not be limited to the described embodiments, but should be defined by the claims set forth below as well as equivalents thereof.

Claims

1. Regarding the method performed by the base station, A step of transmitting a capability query message containing information related to FDSS (Frequency Domain Spectrum Shaping) to a terminal; A step of receiving a capability information message from the above terminal; A step of identifying whether the capability information message contains information regarding the FDSS type used by the terminal; and If the capability information message includes information regarding the FDSS type used by the terminal, the step of receiving an uplink signal based on the FDSS type used by the terminal; A method including 2. In Paragraph 1, If the capability information message does not include information regarding the FDSS type used by the terminal, the step of estimating whether the terminal uses FDSS or the FDSS type used by the terminal, and receiving the uplink signal based on the estimation result; A method that further includes.

3. In Paragraph 1, A method in which the above FDSS-related information indicates at least one of whether the terminal uses FDSS, the type of FDSS previously used by the terminal, or the type of FDSS used by the terminal.

4. In Paragraph 1, A method in which the capability information message indicates at least one of whether the terminal uses FDSS, the type of FDSS previously used by the terminal, the type of FDSS currently used by the terminal, or an unknown type of FDSS.

5. In Paragraph 2, The step of estimating whether the above terminal uses FDSS is, A step of processing a signal received from the terminal and obtaining a variance for the processed signal; A step of determining that the terminal uses FDSS if the variance for the processed signal is greater than a threshold value; and A step of determining that the terminal does not use FDSS if the variance for the processed signal is smaller than the threshold value; A method including 6. In Paragraph 2, The step of estimating the FDSS type used by the above terminal is, A step of preprocessing a signal received from the above terminal; If candidates for the FDSS type used by the terminal are predefined, a step of determining the candidate for the FDSS type having the lowest error value for the preprocessed signal among the candidates for the FDSS type as the FDSS type used by the terminal; and If a candidate for the FDSS type used by the terminal is not predefined, a step of determining the FDSS type used by the terminal by performing curve fitting on the preprocessed signal; A method including 7. In Paragraph 6, The above curve fitting method includes polynomial-based curve fitting.

8. Regarding base stations, Transmitter / receiver; and It includes at least one processor connected to the above-mentioned transmitting and receiving unit, and the at least one processor, Transmit a capability query message containing FDSS (Frequency Domain Spectrum Shaping) related information to a terminal, and Receive a capability information message from the above terminal, and Identify whether the above capability information message includes information regarding the FDSS type used by the terminal, and If the above capability information message includes information regarding the FDSS type used by the terminal, receiving an uplink signal based on the FDSS type used by the terminal, Base station.

9. In Paragraph 8, The above-mentioned at least one processor is, If the capability information message above does not include information regarding the FDSS type used by the terminal, estimating whether the terminal uses FDSS or the FDSS type used by the terminal, and receiving the uplink signal based on the estimation result, Base station.

10. In Paragraph 8, The above FDSS-related information is, Indicating at least one of whether the terminal uses FDSS, the type of FDSS previously used by the terminal, or the type of FDSS currently used by the terminal, Base station.

11. In Paragraph 8, The above capability information message is, A base station characterized by indicating at least one of whether the terminal uses FDSS, the type of FDSS previously used by the terminal, the type of FDSS currently used by the terminal, or an unknown type of FDSS.

12. In Paragraph 9, Determining whether to use FDSS of the above terminal, The above-mentioned at least one processor is, Processing a signal received from the above terminal to obtain a variance for the processed signal, and If the variance for the above-mentioned processed signal is greater than a threshold value, it is determined that the terminal uses FDSS, and If the variance for the processed signal is smaller than the threshold value, the terminal determines not to use FDSS. Base station.

13. In Paragraph 9, Estimating the FDSS type used by the above terminal, The above-mentioned at least one processor is, Preprocessing the signal received from the above terminal, and If a candidate for the FDSS type used by the above terminal is predefined, Among the candidates for the above FDSS types, the candidate for the FDSS type having the lowest error value for the above preprocessed signal is determined as the FDSS type used by the terminal, and If a candidate for the FDSS type used by the above terminal is not predefined, Determining the FDSS type used by the terminal by performing curve fitting on the above preprocessed signal, Base station.

14. In Paragraph 13, The above curve fitting includes polynomial-based curve fitting, Base station.

15. In a storage medium storing a program for operating a processor, A step of transmitting a capability query message containing information related to FDSS (Frequency Domain Spectrum Shaping) to a terminal; A step of receiving a capability information message from the above terminal; A step of identifying whether the capability information message contains information regarding the FDSS type used by the terminal; and If the capability information message includes information regarding the FDSS type used by the terminal, the step of receiving an uplink signal based on the FDSS type used by the terminal; A storage medium that enables the execution of

Images