WO2020032508A1 - Method for receiving periodic signal in unlicensed band and device therefor - Google Patents

Abstract

A method for receiving, by a terminal, a periodic signal in an unlicensed band is disclosed. In particular, the method may comprise: receiving first information associated with first windows for a serving cell and second information associated with second windows for an adjacent cell; receiving a periodic signal transmitted from the serving cell in the first windows; and receiving a periodic signal transmitted from the adjacent cell in the second windows, wherein the second windows may be configured as a subset of the first windows.

Description

Method for receiving periodic signal in unlicensed band and apparatus therefor

The present invention relates to a method and apparatus for receiving a periodic signal in an unlicensed band, and more particularly, to a method and apparatus for receiving a periodic signal by setting a window for a serving cell and a window for an adjacent cell. It is about.

As time goes by, more communication devices require more communication traffic, and a next generation 5G system, which is an improved wireless broadband communication than the existing LTE system, is required. Called NewRAT, these next-generation 5G systems are categorized into enhanced mobile broadband (eMBB) / ultra-reliability and low-latency communication (URLLC) / massive machine-type communications (mMTC).

Here, eMBB is a next generation mobile communication scenario having characteristics such as High Spectrum Efficiency, High User Experienced Data Rate, High Peak Data Rate, and URLLC is a next generation mobile communication scenario having characteristics such as Ultra Reliable, Ultra Low Latency, Ultra High Availability, etc. (Eg, V2X, Emergency Service, Remote Control), mMTC is a next generation mobile communication scenario with low cost, low energy, short packet, and massive connectivity. (e.g., IoT).

The present invention provides a method for receiving a periodic signal in an unlicensed band and an apparatus therefor.

Technical problems to be achieved in the present invention are not limited to the above-mentioned technical problems, and other technical problems not mentioned above will be clearly understood by those skilled in the art from the following description. Could be.

In a method of receiving, by a terminal, a periodic signal in an unlicensed band according to an embodiment of the present invention, first information related to first windows for a serving cell and second information related to second windows for an adjacent cell Receive a periodic signal transmitted from the serving cell within the first windows, and receive a periodic signal transmitted from the adjacent cell within the second windows, May be configured as a subset of the first windows.

In this case, the offset value for the first windows and the offset value for the second windows may be the same.

In addition, the period for the second windows may be a positive integer multiple of the period for the first windows.

In addition, a periodic signal transmitted from the adjacent cell may be received in a section in which the first windows and the second windows overlap.

In addition, the period for the first windows may be a positive integer multiple of the transmission period of the periodic signal transmitted from the serving cell.

In addition, a data channel may be received in the first windows, and a data channel may not be received in the second windows.

The terminal may communicate with at least one of a terminal, a network, a base station, and an autonomous vehicle other than the terminal.

A terminal for receiving a periodic signal in an unlicensed band according to the present invention, the terminal comprising: at least one transceiver; At least one processor; And at least one memory operatively coupled to the at least one processor and storing instructions that, when executed, cause the at least one processor to perform a particular operation. Receive first information related to first windows for a serving cell and second information related to second windows for an adjacent cell via at least one transceiver, and within the first windows via the at least one transceiver Receive a periodic signal transmitted from the serving cell and receive a periodic signal transmitted from the neighbor cell within the second windows through the at least one transceiver, wherein the second windows include: It may consist of a subset of the first windows.

In this case, the offset value for the first windows and the offset value for the second windows may be the same.

In addition, the period for the second windows may be a positive integer multiple of the period for the first windows.

In addition, a periodic signal transmitted from the adjacent cell may be received in a section in which the first windows and the second windows overlap.

In addition, the period for the first windows may be a positive integer multiple of the transmission period of the periodic signal transmitted from the serving cell.

In addition, a data channel may be received in the first windows, and a data channel may not be received in the second windows.

The terminal may communicate with at least one of a terminal, a network, a base station, and an autonomous vehicle other than the terminal.

An apparatus for receiving a periodic signal in an unlicensed band according to an embodiment of the present invention, the apparatus comprising: at least one processor; And at least one memory operatively coupled to the at least one processor and storing instructions that, when executed, cause the at least one processor to perform a particular operation. Receive first information related to first windows for a cell and second information related to second windows for an adjacent cell, receive a periodic signal transmitted from the serving cell within the first windows, and Receiving a periodic signal transmitted from the adjacent cell in the second window, the second window may be configured of a subset of the first window.

According to the present invention, even in the unlicensed band, the periodic signal for the serving cell and the periodic signal for the adjacent cell can be effectively received and / or measured.

Effects obtained in the present invention are not limited to the above-mentioned effects, and other effects not mentioned above may be clearly understood by those skilled in the art from the following description. will be.

1 is a diagram illustrating a control plane and a user plane structure of a radio interface protocol between a terminal and an E-UTRAN based on a 3GPP radio access network standard.

2 is a view for explaining a physical channel used in the 3GPP system and a general signal transmission method using the same.

3 to 5 are diagrams for explaining the structure of a radio frame and slot used in the NR system.

6 to 9 are views for explaining the composition (composition) and transmission method of the SS / PBCH block.

FIG. 10 is a diagram for describing analog beamforming in an NR system.

11 to 15 are diagrams for explaining beam management in the NR system.

16 to 17 illustrate downlink channel transmission in an unlicensed band.

18 to 20 are diagrams for describing an operation implementation example of a terminal, a base station, and a network according to the present invention.

21 is a diagram for describing a method of setting a measurement window, according to an exemplary embodiment.

22 is a block diagram illustrating components of a wireless device for implementing the present invention.

23 to 25 are diagrams illustrating examples of an AI (Artificial Intelligence) system and apparatus for implementing embodiments of the present invention.

The construction, operation, and other features of the present invention will be readily understood by the embodiments of the present invention described with reference to the accompanying drawings. The embodiments described below are examples in which technical features of the present invention are applied to a 3GPP system.

Although the present specification describes an embodiment of the present invention using an LTE system, an LTE-A system, and an NR system, the embodiment of the present invention as an example may be applied to any communication system corresponding to the above definition.

In addition, the specification of the base station may be used as a generic term including a remote radio head (RRH), an eNB, a transmission point (TP), a reception point (RP), a relay, and the like.

The 3GPP based communication standard provides downlink physical channels corresponding to resource elements carrying information originating from a higher layer, and downlink corresponding to resource elements used by the physical layer but not carrying information originating from an upper layer. Physical signals are defined. For example, a physical downlink shared channel (PDSCH), a physical broadcast channel (PBCH), a physical multicast channel (PMCH), a physical control format indicator channel (physical control) format indicator channel (PCFICH), physical downlink control channel (PDCCH) and physical hybrid ARQ indicator channel (PHICH) are defined as downlink physical channels, reference signal and synchronization signal Is defined as downlink physical signals. A reference signal (RS), also referred to as a pilot, refers to a signal of a predetermined special waveform that the gNB and the UE know each other. For example, a cell specific RS, UE- UE-specific RS (UE-RS), positioning RS (PRS) and channel state information RS (CSI-RS) are defined as the downlink reference signal. The 3GPP LTE / LTE-A standard corresponds to uplink physical channels corresponding to resource elements carrying information originating from an upper layer and resource elements used by the physical layer but not carrying information originating from an upper layer. Uplink physical signals are defined. For example, a physical uplink shared channel (PUSCH), a physical uplink control channel (PUCCH), and a physical random access channel (PRACH) are used as uplink physical channels. A demodulation reference signal (DMRS) for uplink control / data signals and a sounding reference signal (SRS) used for uplink channel measurement are defined.

In the present invention, Physical Downlink Control CHannel (PDCCH) / Physical Control Format Indicator CHannel (PCFICH) / PHICH (Physical Hybrid automatic retransmit request Indicator CHannel) / PDSCH (Physical Downlink Shared CHannel) are respectively DCI (Downlink Control Information) / CFI ( Control Format Indicator) / Downlink ACK / NACK (ACKnowlegement / Negative ACK) / Downlink Means a set of time-frequency resources or a set of resource elements, and also includes PUCCH (Physical Uplink Control CHannel) / PUSCH (Physical Uplink Shared CHannel / PACH (Physical Random Access CHannel) means a set of time-frequency resources or a set of resource elements that carry Uplink Control Information (UCI) / Uplink Data / Random Access signals, respectively. PDCCH / PCFICH / PHICH / PDSCH / PUCCH / PUSCH / PRACH RE or time-frequency resource or resource element (RE) assigned to or belonging to PDCCH / PCFICH / PHICH / PDSCH / PUCCH / PUSCH / PRACH, respectively. The PDCCH / PCFICH / PHICH / PDSCH / PUCCH / PUSCH / PRACH resource is referred to below: The expression that the user equipment transmits the PUCCH / PUSCH / PRACH is hereinafter referred to as uplink control information / uplink on or through PUSCH / PUCCH / PRACH, respectively. It is used in the same sense as transmitting data / random access signal, and the expression that the gNB transmits PDCCH / PCFICH / PHICH / PDSCH is used for downlink data / control information on or through PDCCH / PCFICH / PHICH / PDSCH, respectively. It is used in the same sense as sending it.

Hereinafter, an OFDM symbol / subcarrier / RE to which CRS / DMRS / CSI-RS / SRS / UE-RS is assigned or configured is configured as CRS / DMRS / CSI-RS / SRS / UE-RS symbol / carrier. It is called / subcarrier / RE. For example, an OFDM symbol assigned or configured with a tracking RS (TRS) is referred to as a TRS symbol, and a subcarrier assigned or configured with a TRS is called a TRS subcarrier and is assigned a TRS. Alternatively, the configured RE is called a TRS RE. In addition, a subframe configured for TRS transmission is called a TRS subframe. Also, a subframe in which the broadcast signal is transmitted is called a broadcast subframe or a PBCH subframe, and a subframe in which a sync signal (for example, PSS and / or SSS) is transmitted is a sync signal subframe or a PSS / SSS subframe. It is called. OFDM symbols / subcarriers / RE to which PSS / SSS is assigned or configured are referred to as PSS / SSS symbols / subcarriers / RE, respectively.

In the present invention, the CRS port, the UE-RS port, the CSI-RS port, and the TRS port are each an antenna port configured to transmit CRS, an antenna port configured to transmit UE-RS, An antenna port configured to transmit CSI-RS and an antenna port configured to transmit TRS. Antenna ports configured to transmit CRSs can be distinguished from each other by the location of REs occupied by the CRS according to the CRS ports, and antenna ports configured to transmit UE-RSs The antenna ports configured to transmit CSI-RSs may be distinguished from each other by the positions of REs occupied by the UE-RSs according to the -RS ports, and the CSI-RSs occupy The location of the REs can be distinguished from each other. Therefore, the term CRS / UE-RS / CSI-RS / TRS port may be used as a term for a pattern of REs occupied by CRS / UE-RS / CSI-RS / TRS in a certain resource region.

Artificial Intelligence (AI)

Artificial intelligence refers to the field of researching artificial intelligence or the methodology that can produce it, and machine learning refers to the field of researching methodologies to define and solve various problems dealt with in the field of artificial intelligence. do. Machine learning is defined as an algorithm that improves the performance of a task through a consistent experience with a task.

Artificial Neural Network (ANN) is a model used in machine learning, and may refer to an overall problem-solving model composed of artificial neurons (nodes) networked by synapses. The artificial neural network may be defined by a connection pattern between neurons of different layers, a learning process of updating model parameters, and an activation function generating an output value.

The artificial neural network may include an input layer, an output layer, and optionally one or more hidden layers. Each layer contains one or more neurons, and the artificial neural network may include synapses that connect neurons to neurons. In an artificial neural network, each neuron may output a function value of an active function for input signals, weights, and deflections input through a synapse.

The model parameter refers to a parameter determined through learning and includes weights of synaptic connections and deflection of neurons. In addition, the hyperparameter means a parameter to be set before learning in the machine learning algorithm, and includes a learning rate, the number of iterations, a mini batch size, an initialization function, and the like.

The purpose of learning artificial neural networks can be seen as determining model parameters that minimize the loss function. The loss function can be used as an index for determining an optimal model parameter in the learning process of an artificial neural network.

Machine learning can be categorized into supervised learning, unsupervised learning, and reinforcement learning.

Supervised learning refers to a method of learning artificial neural networks with a given label for training data, and a label indicates a correct answer (or result value) that the artificial neural network must infer when the training data is input to the artificial neural network. Can mean. Unsupervised learning may refer to a method of training artificial neural networks in a state where a label for training data is not given. Reinforcement learning can mean a learning method that allows an agent defined in an environment to learn to choose an action or sequence of actions that maximizes cumulative reward in each state.

Machine learning, which is implemented as a deep neural network (DNN) including a plurality of hidden layers among artificial neural networks, is called deep learning (Deep Learning), which is part of machine learning. Hereinafter, machine learning is used to mean deep learning.

<Robot>

A robot can mean a machine that automatically handles or operates a given task by its own ability. In particular, a robot having a function of recognizing the environment, judging itself, and performing an operation may be referred to as an intelligent robot.

Robots can be classified into industrial, medical, household, military, etc. according to the purpose or field of use.

The robot may include a driving unit including an actuator or a motor to perform various physical operations such as moving a robot joint. In addition, the movable robot includes a wheel, a brake, a propeller, and the like in the driving unit, and can travel on the ground or fly in the air through the driving unit.

Self-Driving, Autonomous-Driving

Autonomous driving means a technology that drives by itself, and an autonomous vehicle means a vehicle that runs without a user's manipulation or with minimal manipulation of a user.

For example, for autonomous driving, the technology of maintaining a driving lane, the technology of automatically adjusting speed such as adaptive cruise control, the technology of automatically driving along a predetermined route, the technology of automatically setting a route when a destination is set, etc. All of these may be included.

The vehicle includes a vehicle having only an internal combustion engine, a hybrid vehicle having both an internal combustion engine and an electric motor together, and an electric vehicle having only an electric motor, and may include not only automobiles but also trains and motorcycles.

In this case, the autonomous vehicle may be viewed as a robot having an autonomous driving function.

EXtended Reality (XR)

Extended reality collectively refers to virtual reality (VR), augmented reality (AR), and mixed reality (MR). VR technology provides real world objects and backgrounds only in CG images, AR technology provides virtual CG images on real objects images, and MR technology mixes and combines virtual objects in the real world. Graphic technology.

MR technology is similar to AR technology in that it shows both real and virtual objects. However, in AR technology, virtual objects are used as complementary objects to real objects, whereas in MR technology, virtual objects and real objects are used in an equivalent nature.

XR technology can be applied to HMD (Head-Mount Display), HUD (Head-Up Display), mobile phone, tablet PC, laptop, desktop, TV, digital signage, etc. It can be called.

Now, let's look at 5G communication including NR system.

The three key requirements areas for 5G are: (1) Enhanced Mobile Broadband (eMBB) area, (2) massive Machine Type Communication (mMTC) area, and (3) ultra-reliability and It includes the area of Ultra-reliable and Low Latency Communications (URLLC).

Some use cases may require multiple areas for optimization, and other use cases may be focused on only one key performance indicator (KPI). 5G supports these various use cases in a flexible and reliable way.

eMBB goes far beyond basic mobile Internet access and covers media and entertainment applications in rich interactive work, cloud or augmented reality. Data is one of the key drivers of 5G and may not see dedicated voice services for the first time in the 5G era. In 5G, voice is expected to be treated as an application simply using the data connection provided by the communication system. The main reasons for the increased traffic volume are the increase in content size and the increase in the number of applications requiring high data rates. Streaming services (audio and video), interactive video and mobile Internet connections will become more popular as more devices connect to the Internet. Many of these applications require always-on connectivity to push real-time information and notifications to the user. Cloud storage and applications are growing rapidly in mobile communication platforms, which can be applied to both work and entertainment. And, cloud storage is a special use case that drives the growth of uplink data rates. 5G is also used for remote work in the cloud and requires much lower end-to-end delays to maintain a good user experience when tactile interfaces are used. Entertainment For example, cloud gaming and video streaming are another key factor in increasing the need for mobile broadband capabilities. Entertainment is essential in smartphones and tablets anywhere, including in high mobility environments such as trains, cars and airplanes. Another use case is augmented reality and information retrieval for entertainment. Here, augmented reality requires very low latency and instantaneous amount of data.

In addition, one of the most anticipated 5G use cases relates to the ability to seamlessly connect embedded sensors in all applications, namely mMTC. By 2020, potential IoT devices are expected to reach 20 billion. Industrial IoT is one of the areas where 5G plays a major role in enabling smart cities, asset tracking, smart utilities, agriculture and security infrastructure.

URLLC includes new services that will transform the industry through ultra-reliable / low latency available links such as remote control of key infrastructure and self-driving vehicles. The level of reliability and latency is essential for smart grid control, industrial automation, robotics, drone control and coordination.

Next, a plurality of use cases in the 5G communication system including the NR system will be described in more detail.

5G can complement fiber-to-the-home (FTTH) and cable-based broadband (or DOCSIS) as a means of providing streams that are rated at hundreds of megabits per second to gigabits per second. This high speed is required to deliver TVs in 4K and higher resolutions (6K, 8K and higher) as well as virtual and augmented reality. Virtual Reality (AVR) and Augmented Reality (AR) applications include nearly immersive sporting events. Certain applications may require special network settings. For example, for VR games, game companies may need to integrate core servers with network operator's edge network servers to minimize latency.

Automotive is expected to be an important new driver for 5G, with many use cases for mobile communications to vehicles. For example, entertainment for passengers requires simultaneous high capacity and high mobility mobile broadband. This is because future users continue to expect high quality connections regardless of their location and speed. Another use case in the automotive sector is augmented reality dashboards. It identifies objects in the dark above what the driver sees through the front window and overlays information that tells the driver about the distance and movement of the object. In the future, wireless modules enable communication between vehicles, information exchange between the vehicle and the supporting infrastructure, and information exchange between the vehicle and other connected devices (eg, devices carried by pedestrians). The safety system guides alternative courses of action to help drivers drive safer, reducing the risk of an accident. The next step will be a remotely controlled or self-driven vehicle. This is very reliable and requires very fast communication between different self-driving vehicles and between automobiles and infrastructure. In the future, self-driving vehicles will perform all driving activities, and drivers will focus on traffic anomalies that the vehicle itself cannot identify. The technical requirements of self-driving vehicles require ultra-low latency and ultra-fast reliability to increase traffic safety to an unachievable level.

Smart cities and smart homes, referred to as smart societies, will be embedded in high-density wireless sensor networks. The distributed network of intelligent sensors will identify the conditions for cost and energy-efficient maintenance of the city or home. Similar settings can be made for each hypothesis. Temperature sensors, window and heating controllers, burglar alarms and appliances are all connected wirelessly. Many of these sensors are typically low data rates, low power and low cost. However, for example, real time HD video may be required in certain types of devices for surveillance.

The consumption and distribution of energy, including heat or gas, is highly decentralized, requiring automated control of distributed sensor networks. Smart grids interconnect these sensors using digital information and communication technologies to collect information and act accordingly. This information can include the behavior of suppliers and consumers, allowing smart grids to improve the distribution of fuels such as electricity in efficiency, reliability, economics, sustainability of production and in an automated manner. Smart Grid can be viewed as another sensor network with low latency.

The health sector has many applications that can benefit from mobile communications. The communication system can support telemedicine, providing clinical care at a distance. This can help reduce barriers to distance and improve access to health care services that are not consistently available in remote rural areas. It is also used to save lives in critical care and emergencies. A mobile communication based wireless sensor network can provide remote monitoring and sensors for parameters such as heart rate and blood pressure.

Wireless and mobile communications are becoming increasingly important in industrial applications. Wiring is expensive to install and maintain. Thus, the possibility of replacing the cables with reconfigurable wireless links is an attractive opportunity in many industries. However, achieving this requires that the wireless connection operates with similar cable delay, reliability, and capacity, and that management is simplified. Low latency and very low error probability are new requirements that need to be connected in 5G.

Logistics and freight tracking are important examples of mobile communications that enable the tracking of inventory and packages from anywhere using a location-based information system. The use of logistics and freight tracking typically requires low data rates but requires wide range and reliable location information.

FIG. 1 is a diagram illustrating a control plane and a user plane structure of a radio interface protocol between a terminal and an E-UTRAN based on a 3GPP radio access network standard. The control plane refers to a path through which control messages used by a user equipment (UE) and a network to manage a call are transmitted. The user plane refers to a path through which data generated at an application layer, for example, voice data or Internet packet data, is transmitted.

The physical layer, which is the first layer, provides an information transfer service to an upper layer by using a physical channel. The physical layer is connected to the upper layer of the medium access control layer through a trans port channel. Data moves between the medium access control layer and the physical layer through the transmission channel. Data moves between the physical layer between the transmitting side and the receiving side through the physical channel. The physical channel utilizes time and frequency as radio resources. In detail, the physical channel is modulated in an Orthogonal Frequency Division Multiple Access (OFDMA) scheme in downlink, and modulated in a Single Carrier Frequency Division Multiple Access (SC-FDMA) scheme in uplink.

The medium access control (MAC) layer of the second layer provides a service to a radio link control (RLC) layer, which is a higher layer, through a logical channel. The RLC layer of the second layer supports reliable data transmission. The function of the RLC layer may be implemented as a functional block inside the MAC. The Packet Data Convergence Protocol (PDCP) layer of the second layer performs a header compression function to reduce unnecessary control information in order to efficiently transmit IP packets such as IPv4 or IPv6 in a narrow bandwidth wireless interface.

The radio resource control (RRC) layer located at the bottom of the third layer is defined only in the control plane. The RRC layer is responsible for controlling logical channels, transmission channels, and physical channels in connection with configuration, reconfiguration, and release of radio bearers. The radio bearer refers to a service provided by the second layer for data transmission between the terminal and the network. To this end, the RRC layers of the UE and the network exchange RRC messages with each other. If there is an RRC connection (RRC Connected) between the UE and the RRC layer of the network, the UE is in an RRC connected mode, otherwise it is in an RRC idle mode. The non-access stratum (NAS) layer above the RRC layer performs functions such as session management and mobility management.

The downlink transmission channel for transmitting data from the network to the UE includes a broadcast channel (BCH) for transmitting system information, a paging channel (PCH) for transmitting a paging message, and a shared channel (SCH) for transmitting user traffic or a control message. have. Traffic or control messages of a downlink multicast or broadcast service may be transmitted through a downlink SCH or may be transmitted through a separate downlink multicast channel (MCH). Meanwhile, the uplink transmission channel for transmitting data from the terminal to the network includes a random access channel (RAC) for transmitting an initial control message and an uplink shared channel (SCH) for transmitting user traffic or a control message. Above the transmission channel, the logical channel mapped to the transmission channel includes a broadcast control channel (BCCH), a paging control channel (PCCH), a common control channel (CCCH), a multicast control channel (MCCH), and an MTCH (multicast). Traffic Channel).

2 illustrates physical channels and general signal transmission used in a 3GPP system. In a wireless communication system, a terminal receives information through a downlink (DL) from a base station, and the terminal transmits information through an uplink (UL) to the base station. The information transmitted and received between the base station and the terminal includes data and various control information, and various physical channels exist according to the type / use of the information transmitted and received.

When the terminal is powered on or enters a new cell, the terminal performs an initial cell search operation such as synchronizing with the base station (S201). To this end, the terminal may receive a primary synchronization signal (PSS) and a secondary synchronization signal (SSS) from the base station to synchronize with the base station and obtain information such as a cell ID. Thereafter, the terminal may receive a physical broadcast channel (PBCH) from the base station to obtain broadcast information in a cell. On the other hand, the terminal may receive a downlink reference signal (DL RS) in the initial cell search step to confirm the downlink channel state.

After completing the initial cell search, the UE acquires more specific system information by receiving a physical downlink control channel (PDSCH) according to a physical downlink control channel (PDCCH) and information on the PDCCH. It may be (S202).

On the other hand, when the first access to the base station or there is no radio resource for signal transmission, the terminal may perform a random access procedure (RACH) for the base station (S203 to S206). To this end, the UE transmits a specific sequence to the preamble through a physical random access channel (PRACH) (S203 and S205), and a response message (RAR (Random Access) to the preamble through the PDCCH and the corresponding PDSCH. Response) message) In the case of contention-based RACH, a contention resolution procedure may be additionally performed (S206).

After performing the above-described procedure, the UE performs a PDCCH / PDSCH reception (S207) and a physical uplink shared channel (PUSCH) / physical uplink control channel (Physical Uplink) as a general uplink / downlink signal transmission procedure. Control Channel (PUCCH) transmission (S208) may be performed. In particular, the UE may receive downlink control information (DCI) through the PDCCH. Here, the DCI includes control information such as resource allocation information for the terminal, and the format may be applied differently according to the purpose of use.

Meanwhile, the control information transmitted by the terminal to the base station through the uplink or received by the terminal from the base station includes a downlink / uplink ACK / NACK signal, a channel quality indicator (CQI), a precoding matrix index (PMI), and a rank indicator (RI). ) May be included. The UE may transmit the above-described control information such as CQI / PMI / RI through PUSCH and / or PUCCH.

On the other hand, the NR system considers using a high frequency band, that is, a millimeter frequency band of 6 GHz or more to transmit data while maintaining a high data rate to a large number of users using a wide frequency band. 3GPP uses this as the name NR, which is referred to as NR system in the present invention.

3 illustrates the structure of a radio frame used in NR.

In NR, uplink and downlink transmission are composed of frames. The radio frame has a length of 10 ms and is defined as two 5 ms half-frames (HFs). The half-frame is defined by five 1 ms subframes (SFs). The subframe is divided into one or more slots, and the number of slots in the subframe depends on the subcarrier spacing (SCS). Each slot includes 12 or 14 OFDM (A) symbols according to a cyclic prefix (CP). Usually when CP is used, each slot contains 14 symbols. If extended CP is used, each slot includes 12 symbols. Here, the symbol may include an OFDM symbol (or CP-OFDM symbol), an SC-FDMA symbol (or DFT-s-OFDM symbol).

Table 1 exemplarily shows that when CP is used, the number of symbols per slot, the number of slots per frame, and the number of slots per subframe vary according to SCS.

SCS (15 * 2 ^ u)	N slot symb	N frame, u slot	N subframe, u slot
15KHz (u = 0)	14	10	One
30KHz (u = 1)	14	20	2
60KHz (u = 2)	14	40	4
120KHz (u = 3)	14	80	8
240KHz (u = 4)	14	160	16

* N ^slot _symb : Number of symbols in slot

* N ^{frame, u} _slot : Number of slots in the frame

* N ^{subframe, u} _slot : Number of slots in ^subframe

Table 2 illustrates that when the extended CP is used, the number of symbols per slot, the number of slots per frame, and the number of slots per subframe vary according to SCS.

SCS (15 * 2 ^ u)	N slot symb	N frame, u slot	N subframe, u slot
60KHz (u = 2)	12	40	4

In the NR system, OFDM (A) numerology (eg, SCS, CP length, etc.) may be set differently among a plurality of cells merged into one UE. Accordingly, the (absolute time) section of a time resource (eg, SF, slot, or TTI) (commonly referred to as a time unit (TU) for convenience) composed of the same number of symbols may be set differently between merged cells. 4 illustrates a slot structure of an NR frame. The slot includes a plurality of symbols in the time domain. For example, one slot includes seven symbols in the case of a normal CP, but one slot includes six symbols in the case of an extended CP. The carrier includes a plurality of subcarriers in the frequency domain. Resource block (RB) is defined as a plurality of consecutive subcarriers (eg, 12) in the frequency domain. A bandwidth part (BWP) is defined as a plurality of consecutive (P) RBs in the frequency domain and may correspond to one numerology (eg, SCS, CP length, etc.). The carrier may include up to N (eg 5) BWPs. Data communication is performed through an activated BWP, and only one BWP may be activated by one UE. Each element in the resource grid is referred to as a resource element (RE), one complex symbol may be mapped.

5 illustrates the structure of a self-contained slot. In an NR system, a frame is characterized by a self-complete structure in which all of a DL control channel, DL or UL data, UL control channel, etc. may be included in one slot. For example, the first N symbols in a slot may be used to transmit a DL control channel (hereinafter DL control region), and the last M symbols in the slot may be used to transmit a UL control channel (hereinafter UL control region). N and M are each an integer of 0 or more. A resource region (hereinafter, referred to as a data region) between the DL control region and the UL control region may be used for DL data transmission, or may be used for UL data transmission. As an example, the following configuration may be considered. Each interval is listed in chronological order.

1.DL only configuration

2. UL only configuration

3. Mixed UL-DL composition

DL area + Guard Period (GP) + UL control area

DL control area + GP + UL area

DL area: (i) DL data area, (ii) DL control area + DL data area

UL region: (i) UL data region, (ii) UL data region + UL control region

The PDCCH may be transmitted in the DL control region, and the PDSCH may be transmitted in the DL data region. PUCCH may be transmitted in the UL control region, and PUSCH may be transmitted in the UL data region. Downlink Control Information (DCI), for example, DL data scheduling information, UL data scheduling information, and the like may be transmitted in the PDCCH. In PUCCH, uplink control information (UCI), for example, positive acknowledgment / negative acknowledgment (ACK / NACK) information, channel state information (CSI) information, and scheduling request (SR) for DL data may be transmitted. The GP provides a time gap in the process of the base station and the terminal switching from the transmission mode to the reception mode or from the reception mode to the transmission mode. Some symbols at the time of switching from DL to UL in the subframe may be set to GP.

6 illustrates an SSB structure. The UE may perform cell search, system information acquisition, beam alignment for initial access, DL measurement, etc. based on the SSB. The SSB is mixed with a Synchronization Signal / Physical Broadcast Channel (SS / PBCH) block.

Referring to FIG. 6, the SSB is composed of PSS, SSS, and PBCH. The SSB is composed of four consecutive OFDM symbols, and PSS, PBCH, SSS / PBCH, and PBCH are transmitted for each OFDM symbol. PSS and SSS consist of 1 OFDM symbol and 127 subcarriers, respectively, and PBCH consists of 3 OFDM symbols and 576 subcarriers. Polar coding and quadrature phase shift keying (QPSK) are applied to the PBCH. The PBCH consists of a data RE and a demodulation reference signal (DMRS) RE for each OFDM symbol. Three DMRS REs exist for each RB, and three data REs exist between DMRS REs.

The cell search refers to a process in which the UE acquires time / frequency synchronization of a cell and detects a cell ID (eg, physical layer cell ID, PCID) of the cell. PSS is used to detect a cell ID within a cell ID group, and SSS is used to detect a cell ID group. PBCH is used for SSB (time) index detection and half-frame detection.

The cell search process of the terminal can be summarized as shown in Table 3 below.

	Type of signals		Operations
1 st step	PSS	* SS / PBCH block (SSB) symbol timing acquisition * Cell ID detection within a cell ID group (3 hypothesis)
2 nd Step	SSS	Cell ID group detection (336 hypothesis)
3 rd Step	PBCH DMRS	* SSB index and Half frame (HF) index (Slot and frame boundary detection)
4 th Step	PBCH	* Time information (80 ms, System Frame Number (SFN), SSB index, HF) * Remaining Minimum System Information (RMSI) Control resource set (CORESET) / Search space configuration
5 th Step	PDCCH and PDSCH	* Cell access information * RACH configuration

There are 336 cell ID groups, and three cell IDs exist for each cell ID group. There are a total of 1008 cell IDs. Information about a cell ID group to which a cell ID of a cell belongs is provided / obtained through the SSS of the cell, and information about the cell ID among the 336 cells in the cell ID is provided / obtained through the PSS.

7 illustrates SSB transmission. Referring to FIG. 7, SSBs are periodically transmitted according to SSB periods. The SSB basic period assumed by the UE in initial cell search is defined as 20 ms. After cell access, the SSB period may be set to one of {5ms, 10ms, 20ms, 40ms, 80ms, 160ms} by a network (eg, a base station). A set of SSB bursts is constructed at the beginning of the SSB period. The SSB burst set consists of a 5ms time window (ie, half-frame), and the SSB can be transmitted up to L times within the SS burst set. The maximum number of transmissions L of the SSB may be given as follows according to the frequency band of the carrier wave. One slot includes up to two SSBs.

-For frequency range up to 3 GHz, L = 4

-For frequency range from 3 GHz to 6 GHz, L = 8

-For frequency range from 6 GHz to 52.6 GHz, L = 64

The time position of the SSB candidate in the SS burst set may be defined as follows according to the SCS. The time position of the SSB candidate is indexed from 0 to L-1 in time order within the SSB burst set (ie, half-frame) (SSB index).

Case A-15 kHz SCS: The index of the start symbol of the candidate SSB is given by {2, 8} + 14 * n. N = 0, 1 when the carrier frequency is 3 GHz or less. N = 0, 1, 2, and 3 when the carrier frequency is 3 GHz to 6 GHz.

Case B-30 kHz SCS: The index of the start symbol of the candidate SSB is given by {4, 8, 16, 20} + 28 * n. N = 0 when the carrier frequency is 3 GHz or less. N = 0 and 1 when the carrier frequency is 3 GHz to 6 GHz.

Case C-30 kHz SCS: The index of the start symbol of the candidate SSB is given by {2, 8} + 14 * n. N = 0, 1 when the carrier frequency is 3 GHz or less. N = 0, 1, 2, and 3 when the carrier frequency is 3 GHz to 6 GHz.

Case D-120 kHz SCS: The index of the start symbol of the candidate SSB is given by {4, 8, 16, 20} + 28 * n. If the carrier frequency is greater than 6 GHz, then n = 0, 1, 2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 15, 16, 17, 18.

Case E-240 kHz SCS: The index of the start symbol of the candidate SSB is given by {8, 12, 16, 20, 32, 36, 40, 44} + 56 * n. N = 0, 1, 2, 3, 5, 6, 7, 8 if the carrier frequency is greater than 6 GHz.

8 illustrates multi-beam transmission of the SSB.

Beam sweeping means that the Transmission Reception Point (TRP) (eg, base station / cell) varies the beam (direction) of the radio signal over time (hereinafter, the beam and beam direction may be mixed). Referring to FIG. 8, the SSB may be periodically transmitted using beam sweeping. In this case, the SSB index is implicitly linked with the SSB beam. The SSB beam may be changed in units of SSB (index) or in units of SSB (index) group. In the latter case, the SSB beam remains the same within the SSB (index) group. That is, the transmission beam reflection of the SSB is repeated in a plurality of consecutive SSBs. The maximum number of transmissions L of the SSB in the SSB burst set has a value of 4, 8 or 64 depending on the frequency band to which the carrier belongs. Accordingly, the maximum number of SSB beams in the SSB burst set may also be given as follows according to the frequency band of the carrier.

-For frequency range up to 3 GHz, Max number of beams = 4

-For frequency range from 3 GHz to 6 GHz, Max number of beams = 8

-For frequency range from 6 GHz to 52.6 GHz, Max number of beams = 64

However, when multi-beam transmission is not applied, the number of SSB beams is one.

When the terminal attempts to initially access the base station, the terminal may align the beam with the base station based on the SSB. For example, the terminal identifies the best SSB after performing SSB detection. Thereafter, the terminal may transmit the RACH preamble to the base station using the PRACH resources linked / corresponding to the index (ie, beam) of the best SSB. SSB may be used to align the beam between the base station and the terminal even after the initial access.

9 illustrates a method of notifying an SSB (SSB_tx) that is actually transmitted.

A maximum of L SSBs may be transmitted in the SSB burst set, and the number / locations of actually transmitting SSBs may vary for each base station / cell. The number / location where the SSB is actually transmitted is used for rate-matching and measurement, and information about the SSB actually transmitted is indicated as follows.

In the case of rate-matching: it may be indicated through terminal-specific RRC signaling or RMSI. UE-specific RRC signaling includes a full (eg, length L) bitmap in both the below 6 GHz and above 6 GHz frequency ranges. On the other hand, the RMSI includes a full bitmap below 6GHz and a compressed bitmap as shown above. Specifically, information about the SSB actually transmitted using the group-bit map (8 bits) + the intra-group bitmap (8 bits) may be indicated. Here, resources indicated by UE-specific RRC signaling or RMSI (eg, RE) are reserved for SSB transmission, and PDSCH / PUSCH and the like may be rate-matched in consideration of SSB resources.

In the case of measurement: When in the RRC connected mode, the network (eg, base station) may indicate the set of SSBs to be measured within the measurement interval. The SSB set may be indicated for each frequency layer. If there is no indication about the SSB set, the default SSB set is used. The default SSB set includes all SSBs within the measurement interval. The SSB set may be indicated using a full (eg, length L) bitmap of RRC signaling. When in RRC idle mode, a default SSB set is used.

Meanwhile, in the NR system, a massive multiple input multiple output (MIMO) environment in which a transmit / receive antenna is greatly increased may be considered. That is, as the large MIMO environment is considered, the number of transmit / receive antennas may increase to tens or hundreds or more. On the other hand, the NR system supports communication in the above 6GHz band, that is, the millimeter frequency band. However, the millimeter frequency band has a frequency characteristic that the signal attenuation with the distance is very rapid due to the use of a frequency band too high. Therefore, NR systems using bands of at least 6 GHz or more use a beamforming technique that collects and transmits energy in a specific direction rather than omnidirectionally to compensate for a sudden propagation attenuation characteristic. In large MIMO environments, beamforming weight vectors / precoding vectors are used to reduce the complexity of hardware implementation, increase performance with multiple antennas, flexibility in resource allocation, and ease of frequency-specific beam control. According to the application position, a hybrid beamforming technique requiring an analog beamforming technique and a digital beamforming technique is required.

10 is a diagram illustrating an example of a block diagram of a transmitter and a receiver for hybrid beamforming.

As a method for forming a narrow beam in the millimeter frequency band, a beamforming method of increasing energy only in a specific direction by transmitting the same signal using a phase difference appropriate to a large number of antennas in a BS or a UE is mainly considered. Such beamforming schemes include digital beamforming that creates a phase difference in a digital baseband signal, analog beamforming that creates a phase difference using a time delay (ie, cyclic shift) in a modulated analog signal, digital beamforming, and an analog beam. Hybrid beamforming using all of the foaming. If an RF unit (or transceiver unit (TXRU)) is provided to enable transmission power and phase adjustment for each antenna element, independent beamforming is possible for each frequency resource. However, there is a problem in terms of cost effectiveness in installing an RF unit in all 100 antenna elements. In other words, the millimeter frequency band should be used by a large number of antennas to compensate for rapid propagation attenuation, and digital beamforming is equivalent to the number of antennas. Since an amplifier (power amplifier, linear amplifier, etc.) is required, the implementation of digital beamforming in the millimeter frequency band has a problem of increasing the cost of communication equipment. Therefore, when a large number of antennas are required, such as the millimeter frequency band, the use of analog beamforming or hybrid beamforming is considered. The analog beamforming method maps a plurality of antenna elements to one TXRU and adjusts the beam direction with an analog phase shifter. Such an analog beamforming method has a disadvantage in that only one beam direction can be made in the entire band so that frequency selective beamforming (BF) cannot be performed. Hybrid BF is an intermediate form between digital BF and analog BF, with fewer B RF units than Q antenna elements. In the case of the hybrid BF, although there are differences depending on the connection method of the B RF units and the Q antenna elements, the direction of beams that can be simultaneously transmitted is limited to B or less.

Downlink Beam Management (DL BM)

The BM process consists of a BS (or a transmission and reception point (TRP)) and / or a set of UE beams that can be used for downlink (DL) and uplink (UL) transmission / reception. As a process for acquiring and maintaining c), the following process and terminology may be included.

Beam measurement: an operation in which a BS or UE measures a characteristic of a received beamforming signal.

Beam determination: an operation in which the BS or the UE selects its Tx beam / Rx beam.

Beam sweeping: an operation of covering the spatial domain using transmit and / or receive beams for a predetermined time interval in a predetermined manner.

Beam report: an operation in which a UE reports information of a beamformed signal based on beam measurement.

The BM process may be divided into (1) DL BM process using SSB or CSI-RS, and (2) UL BM process using SRS (sounding reference signal). In addition, each BM process may include a Tx beam sweeping for determining the Tx beam and an Rx beam sweeping for determining the Rx beam.

In this case, the DL BM process may include (1) transmission of beamformed DL RSs (eg, CSI-RS or SSB) by the BS, and (2) beam reporting by the UE.

Here, the beam report may include a preferred DL RS ID (s) and a reference signal received power (RSRP) corresponding thereto. The DL RS ID may be an SSBRI (SSB Resource Indicator) or a CSI-RS Resource Indicator (CRI).

11 shows an example of beamforming using SSB and CSI-RS.

As shown in FIG. 11, the SSB beam and the CSI-RS beam may be used for beam measurement. The measurement metric is a resource / block RSRP. SSB is used for coarse beam measurement and CSI-RS can be used for fine beam measurement. SSB can be used for both Tx beam sweeping and Rx beam sweeping. Rx beam sweeping using the SSB may be performed by attempting to receive the SSB while the UE changes the Rx beam for the same SSBRI across multiple SSB bursts. Here, one SS burst includes one or more SSBs, and one SS burst set includes one or more SSB bursts.

1. DL BM using SSB

12 is a flowchart illustrating an example of a DL BM process using an SSB.

The beam report setting using the SSB is performed when channel state information (CSI) / beam setting is performed in RRC_CONNECTED.

-The UE receives the CSI-ResourceConfig IE including the CSI-SSB-ResourceSetList for the SSB resources used for the BM from the BS (S1210). The RRC parameter csi-SSB-ResourceSetList represents a list of SSB resources used for beam management and reporting in one resource set. Here, the SSB resource set may be set to {SSBx1, SSBx2, SSBx3, SSBx4, 쪋}. SSB index may be defined from 0 to 63.

The UE receives signals on SSB resources from the BS based on the CSI-SSB-ResourceSetList (S1220).

If the CSI-RS reportConfig related to the report on the SSBRI and reference signal received power (RSRP) is configured, the UE reports the best SSBRI and the corresponding RSRP to the BS (S1230). For example, when reportQuantity of the CSI-RS reportConfig IE is set to 'ssb-Index-RSRP', the UE reports the best SSBRI and the corresponding RSRP to the BS.

When the CSI-RS resource is set to the same OFDM symbol (s) as the SSB and 'QCL-TypeD' is applicable, the UE is similarly co-located in terms of the 'QCL-TypeD' with the CSI-RS and the SSB ( quasi co-located (QCL). In this case, QCL-TypeD may mean that QCLs are interposed between antenna ports in terms of spatial Rx parameters. When the UE receives signals of a plurality of DL antenna ports in a QCL-TypeD relationship, the same reception beam may be applied.

2. DL BM using CSI-RS

As for the CSI-RS usage, i) CSI-RS is used for beam management when a repetition parameter is set for a specific CSI-RS resource set and TRS_info is not set. ii) If the repeating parameter is not set and TRS_info is set, the CSI-RS is used for a tracking reference signal (TRS). iii) If the repetition parameter is not set and TRS_info is not set, the CSI-RS is used for CSI acquisition.

(RRC parameter) When repetition is set to 'ON', it is associated with the Rx beam sweeping process of the UE. When the repetition is set to 'ON', when the UE receives the NZP-CSI-RS-ResourceSet, the UE receives signals of at least one CSI-RS resource in the NZP-CSI-RS-ResourceSet with the same downlink spatial domain filter. Can be assumed to be transmitted. That is, at least one CSI-RS resource in the NZP-CSI-RS-ResourceSet is transmitted through the same Tx beam. Here, signals of at least one CSI-RS resource in the NZP-CSI-RS-ResourceSet may be transmitted in different OFDM symbols.

On the other hand, the repetition is set to 'OFF' is related to the Tx beam sweeping process of the BS. When the repetition is set to 'OFF', the UE does not assume that signals of at least one CSI-RS resource in the NZP-CSI-RS-ResourceSet are transmitted to the same downlink spatial domain transport filter. That is, signals of at least one CSI-RS resource in the NZP-CSI-RS-ResourceSet are transmitted through different Tx beams. 13 shows another example of a DL BM process using CSI-RS.

FIG. 13 (a) shows the Rx beam determination (or refinement) process of the UE, and FIG. 13 (b) shows the Tx beam sweeping process of the BS. 13A is a case where the repetition parameter is set to 'ON', and FIG. 13B is a case where the repetition parameter is set to 'OFF'.

13 (a) and 14 (a), the Rx beam determination process of the UE will be described.

14 (a) is a flowchart illustrating an example of a reception beam determination process of a UE.

-The UE receives an NZP CSI-RS resource set IE including an RRC parameter related to 'repetition' from the BS through RRC signaling (S1410). Here, the RRC parameter 'repetition' is set to 'ON'.

The UE repeats signals on resource (s) in the CSI-RS resource set in which the RRC parameter 'repetition' is set to 'ON' in different OFDM symbols through the same Tx beam (or DL spatial domain transport filter) of the BS It receives (S1420).

The UE determines its Rx beam (S1430).

The UE skips CSI reporting (S1440). That is, the UE may omit CSI reporting when the mall RRC parameter 'repetition' is set to 'ON'.

13 (b) and 14 (b), the Tx beam determination process of the BS will be described.

14 (b) is a flowchart illustrating an example of a transmission beam determination process of a BS.

-The UE receives an NZP CSI-RS resource set IE including an RRC parameter related to 'repetition' from the BS through RRC signaling (S1450). Here, the RRC parameter 'repetition' is set to 'OFF', and is related to the Tx beam sweeping process of the BS.

-The UE receives signals on resources in the CSI-RS resource set in which the RRC parameter 'repetition' is set to 'OFF' through different Tx beams (DL spatial domain transmission filter) of the BS (S1460).

The UE selects (or determines) the best beam (S1470).

The UE reports the ID (eg, CRI) and related quality information (eg, RSRP) for the selected beam to the BS (S1480). That is, the UE reports the CRI and its RSRP to the BS when the CSI-RS is transmitted for the BM.

FIG. 15 illustrates an example of resource allocation in the time and frequency domain associated with the operation of FIG. 13.

When repetition 'ON' is set in the CSI-RS resource set, a plurality of CSI-RS resources are repeatedly used by applying the same transmission beam, and when repetition 'OFF' is set in the CSI-RS resource set, different CSI-RSs are used. Resources may be transmitted in different transmission beams.

3. Beam indication related to DL BM

The UE may receive, via RRC signaling, a list of at least M candidate transmission configuration indication (TCI) states for at least a quasi co-location (QCL) indication. Here, M depends on UE (capability) and may be 64.

Each TCI state may be set with one reference signal (RS) set. Table 4 shows an example of the TCI-State IE. The TCI-State IE is associated with one or two DL reference signal (RS) corresponding quasi co-location (QCL) types.

In Table 4, 'bwp-Id' indicates the DL BWP where the RS is located, 'cell' indicates the carrier where the RS is located, and 'referencesignal' indicates the source of pseudo co-location ( Reference antenna port (s) to be a source or a reference signal including the same. The target antenna port (s) may be CSI-RS, PDCCH DMRS, or PDSCH DMRS.

4.Quasi-Co Location (QCL)

The UE may receive a list containing up to M TCI-status settings for decoding the PDSCH according to the detected PDCCH having an intended DCI for the UE and a given cell. Here, M depends on UE capability.

As illustrated in Table 4, each TCI-State includes parameters for establishing a QCL relationship between one or two DL RSs and a DM-RS port of PDSCH. The QCL relationship is established with the RRC parameters qcl-Type1 for the first DL RS and qcl-Type2 (if set) for the second DL RS.

The QCL type corresponding to each DL RS is given by the parameter 'qcl-Type' in QCL-Info, and can take one of the following values:

'QCL-TypeA': {Doppler shift, Doppler spread, average delay, delay spread}

-'QCL-TypeB': {Doppler shift, Doppler spread}

-'QCL-TypeC': {Doppler shift, average delay}

'QCL-TypeD': {Spatial Rx parameter}

For example, if the target antenna port is a specific NZP CSI-RS, the corresponding NZP CSI-RS antenna ports may be indicated / set as a specific TRS in QCL-Type A view and a specific SSB and QCL in QCL-Type D view. have. The UE receiving this indication / setting receives the corresponding NZP CSI-RS using the Doppler and delay values measured in the QCL-TypeA TRS, and applies the received beam used to receive the QCL-TypeD SSB to the corresponding NZP CSI-RS reception. can do.

Beam failure recovery (BFR) process

In beamformed systems, Radio Link Failure (RLF) can frequently occur due to rotation, movement, or beamforming blockage of the UE. Thus, BFR is supported in the NR to prevent frequent RLF. BFR is similar to the radio link failure recovery process and may be supported if the UE knows the new candidate beam (s).

For beam failure detection, the BS sets the beam failure detection reference signals to the UE, and the UE sets a number of beam failure indications from the physical layer of the UE within a period set by the RRC signaling of the BS. When a threshold set by RRC signaling is reached, a beam failure is declared.

After beam failure is detected, the UE triggers beam failure recovery by initiating a random access procedure on the PCell; Select a suitable beam to perform beam failure recovery (when the BS provides dedicated random access resources for certain beams, they are prioritized by the UE). Upon completion of the random access procedure, beam failure recovery is considered complete.

RRM (Radio Resource Management) Measurement in LTE

In LTE systems, power control, scheduling, cell search, cell reselection, handover, radio link or connection monitoring, and connectivity It supports RRM operations including connection establishment / re-establish. In this case, the serving cell may request the RRM measurement information, which is a measurement value for performing the RRM operation, from the UE. In particular, in the LTE system, the UE may measure and report information such as cell search information, reference signal received power (RSRP), and reference signal received quality (RSRQ) for each cell. Specifically, in the LTE system, the UE receives 'measConfig' as a higher layer signal for RRM measurement from the serving cell. Then, the UE measures RSRP or RSRQ according to the information of the 'measConfig'. The definition of RSRP, RSRQ and RSSI according to TS 36.214 document of the LTE system is as follows.

- RSRP: RSRP, the cell specific reference signal transmitted in the measurement bandwidth is defined as the linear average of the power contribution ([W]) of;; (RE Resource Element) resource elements of (Cell specific reference signal CRS) . In addition, CRS R0 according to TS 36.211 is used for RSRP determination. In some cases, CRS R1 may be further used to increase reliability. The reference point for RSRP should be the antenna connector of the UE, and when receive diversity is used, the reported RSRP value should not be lower than the RSRP of any of the individual diversity.

RSRQ: RSRQ is defined as N * RSRP / (RSSI of E-UTRA carrier). In this case, N is the number of RBs of the E-UTRA carrier RSSI measurement bandwidth. In this case, measurement of 'N * RSRP' and measurement of 'RSI of an E-UTRA carrier' are performed through the same resource block set (RB set).

The E-UTRA carrier RSSI collects reference symbols for antenna port 0 on N resource blocks derived from all sources, including co-channel, adjacent channel interference, thermal noise, etc., of the serving and non-serving cells. It is obtained as a linear average value of the total received power measured only in the containing OFDM symbol.

If higher layer signaling indicates a particular subframe for performing RSRP measurement, RSSI is measured on all indicated OFDM symbols. Even at this time, the reference point for the RSRQ should be the antenna connector of the UE, and if the reception diversity is used, the reported RSRQ value should not be lower than the RSRQ of any one of the individual diversity.

RSSI: Received wide band power including noise and thermal noise generated within a bandwidth defined by a receiver pulse shaping filter. Even then, the reference point for the RSSI should be the antenna connector of the UE, and if receive diversity is used, the reported RSSI value should not be lower than the RSSI of any of the individual diversity.

According to the above definition, in the case of intra-frequency measurement, a UE operating in the LTE system may use 6, 15, 25, 50 through an information element (IE) related to allowed measurement bandwidth transmitted in a system information block type 3 (SIB3). It is allowed to measure RSRP at a bandwidth corresponding to one of 75, 100, and 100 resource blocks (RBs). In addition, in the case of inter-frequency measurement, RSRP is allowed to be measured in a bandwidth corresponding to one of 6, 15, 25, 50, 75, and 100 RB (resource block) through the allowed measurement bandwidth transmitted from SIB5. If there is no IE, RSRP can be measured in the frequency band of the entire downlink system by default. In this case, when the UE receives the allowed measurement bandwidth, the UE considers the value as the maximum measurement bandwidth and can freely measure the value of RSRP within the value.

However, if the serving cell transmits the IE defined by the WB-RSRQ and the Allowed measurement bandwidth is set to 50 RB or more, the UE should calculate the RSRP value for the entire allowed measurement bandwidth. Meanwhile, in the case of RSSI, the RSSI is measured in the frequency band of the receiver of the UE according to the definition of the RSSI bandwidth.

NR communication systems are required to support significantly better performance than existing fourth generation (4G) systems in terms of data rate, capacity, latency, energy consumption and cost. Thus, NR systems need to make significant advances in the area of bandwidth, spectral, energy, signaling efficiency, and cost per bit.

16 shows an example of a wireless communication system supporting an unlicensed band applicable to the present invention.

In the following description, a cell operating in a licensed band (hereinafter referred to as L-band) is defined as an L-cell, and a carrier of the L-cell is defined as (DL / UL) LCC. In addition, a cell operating in an unlicensed band (hereinafter, referred to as a U-band) is defined as a U-cell, and a carrier of the U-cell is defined as (DL / UL) UCC. The carrier / carrier-frequency of the cell may mean the operating frequency (eg, center frequency) of the cell. A cell / carrier (e.g., CC) is commonly referred to as a cell.

When the terminal and the base station transmit and receive signals through the carrier-coupled LCC and UCC as shown in FIG. As shown in (b) of FIG. 8, the terminal and the base station may transmit and receive signals through one UCC or a plurality of carrier-coupled UCCs. That is, the terminal and the base station can transmit and receive signals only through the UCC (s) without the LCC.

Hereinafter, the signal transmission / reception operation in the unlicensed band detailed in the present invention may be performed based on all the deployment scenarios described above (unless otherwise noted).

Meanwhile, the NR frame structure of FIG. 3 may be used for operation in the unlicensed band. The configuration of OFDM symbols occupied for uplink / downlink signal transmission in the frame structure for the unlicensed band may be set by the base station. In this case, the OFDM symbol may be replaced with an SC-FDM (A) symbol.

For downlink signal transmission through the unlicensed band, the base station can inform the terminal of the configuration of OFDM symbols used in subframe #n through signaling. Here, the subframe may be replaced with a slot or a time unit (TU).

In detail, in the LTE system supporting the unlicensed band, the UE transmits the subframe # through a specific field (eg, the Subframe configuration for LAA field) in the DCI received from the base station in subframe # n-1 or subframe #n. The configuration of the occupied OFDM symbol in n may be assumed (or identified).

Table 5 shows a configuration of OFDM symbols in which a subframe configuration for LAA field is used for transmission of a downlink physical channel and / or a physical signal in a current subframe and / or next subframe in an LTE system. The method to show is illustrated.

Value of ' Subframe  configuration for LAA '' field in current subframe	Configuration of occupied OFDM symbols (current subframe, next subframe)
0000	(-, 14)
0001	(-, 12)
0010	(-, 11)
0011	(-, 10)
0100	(-, 9)
0101	(-, 6)
0110	(-, 3)
0111	(14, *)
1000	(12,-)
1001	(11,-)
1010	(10,-)
1011	(9,-)
1100	(6,-)
1101	(3,-)
1110	reserved
1111	reserved
NOTE:-(-, Y) means UE may assume the first Y symbols are occupied in next subframe and other symbols in the next subframe are not occupied.- (X,-) means UE may assume the first X symbols are occupied in current subframe and other symbols in the current subframe are not occupied.- (X, *) means UE may assume the first X symbols are occupied in current subframe, and at least the first OFDM symbol of the next subframe is not occupied.

In order to transmit an uplink signal through an unlicensed band, the base station may inform the terminal of information about an uplink transmission interval through signaling.

In detail, in the LTE system supporting the unlicensed band, the UE may acquire 'UL duration' and 'UL offset' information for the subframe #n through the 'UL duration and offset' field in the detected DCI.

Table 6 illustrates how a UL duration and offset field indicates a UL offset and a UL duration configuration in an LTE system.

Value of 'UL duration and offset' field	UL offset, l (in subframes)	UL duration, d (in subframes)
00000	Not configured	Not configured
00001	One	One
00010	One	2
00011	One	3
00100	One	4
00101	One	5
00110	One	6
00111	2	One
01000	2	2
01001	2	3
01010	2	4
01011	2	5
01100	2	6
01101	3	One
01110	3	2
01111	3	3
10000	3	4
10001	3	5
10010	3	6
10011	4	One
10100	4	2
10101	4	3
10110	4	4
10111	4	5
11000	4	6
11001	6	One
11010	6	2
11011	6	3
11100	6	4
11101	6	5
11110	6	6
11111	reserved	reserved

For example, when the UL duration and offset field sets (or indicates) UL offset l and UL duration d for subframe #n, the UE may subframe # n + l + i (i = 0, 1, 쪋, There is no need to receive the downlink physical channel and / or physical signal within d-1).

The base station may perform one of the following unlicensed band access procedures (eg, Channel Access Procedure, CAP) for downlink signal transmission in the unlicensed band.

(1) first downlink CAP method

17 is a flowchart illustrating a CAP operation for downlink signal transmission through an unlicensed band of a base station.

The base station may initiate a channel access procedure (CAP) for downlink signal transmission (eg, signal transmission including PDSCH / PDCCH / EPDCCH) over an unlicensed band (S1710). The base station may arbitrarily select the backoff counter N in the contention window CW according to step 1. At this time, the N value is set to an initial value N _init (S1720). N _init is selected as a random value among values between 0 and CW _p . Subsequently, if the backoff counter value N is 0 (S1730; Y) in step 4, the base station terminates the CAP process (S1732). Subsequently, the base station may perform Tx burst transmission including PDSCH / PDCCH / EPDCCH (S1734). On the other hand, if the backoff counter value is not 0 (S1730; N), the base station decreases the backoff counter value by 1 according to step 2 (S1740). Subsequently, the base station checks whether the channel of the U-cell (s) is in an idle state (S1750). If the channel is in an idle state (S1750; Y), the base station checks whether the backoff counter value is 0 (S1730). On the contrary, if the channel is not idle in step S1750, that is, the channel is busy (S1750; N), the base station according to step 5 is longer than the slot time (e.g., 9usec) with a delay duration T _d ; 25usec or more. It is checked whether the corresponding channel is in the idle state (S1760). If the channel is idle in the delay period (S1770; Y), the base station may resume the CAP process again. In this case, the delay period may include a 16usec interval and m _p consecutive slot times immediately following (eg, 9usec). On the other hand, if the channel is busy during the delay period (S1770; N), the base station re-performs step S1760 to check again whether the channel of the U-cell (s) is idle during the new delay period.

Table 7 illustrates the difference of m _p , minimum CW, maximum CW, maximum channel occupancy time (MCOT), and allowed CW sizes applied to the CAP according to the channel access priority class. .

Channel Access Priority Class (p)	m p	CW min, p	CW max, p	T ultcot, p	Allowed CW p sizes
One	One	3	7	2 ms	{3,7}
2	One	7	15	3 ms	{7,15}
3	3	15	63	8 or 10 ms	{15,31,63}
4	7	15	1023	8 or 10 ms	{15,31,63,127,255,511,1023}

The contention window size applied to the first downlink CAP may be determined based on various methods. As an example, the contention window size may be adjusted based on the probability that HARQ-ACK values corresponding to PDSCH transmission (s) in a certain time interval (eg, reference TU) are determined to be NACK. When the base station performs downlink signal transmission including the PDSCH associated with the channel access priority class p on the carrier, HARQ-ACK values corresponding to the PDSCH transmission (s) in the reference subframe k (or reference slot k) are NACK. If the probability determined is at least Z = 80%, the base station increments the CW values set for each priority class to the next higher order allowed respectively. Alternatively, the base station maintains the CW values set for each priority class as initial values. A reference subframe (or reference slot) may be defined as a start subframe (or start slot) in which the most recent signal transmission on a corresponding carrier for which at least some HARQ-ACK feedback is available.

(2) second downlink CAP method

The base station may perform downlink signal transmission (eg, signal transmission including discovery signal transmission and not including PDSCH) on the unlicensed band based on the second downlink CAP method described below.

If the length of the signal transmission interval of the base station is less than 1ms, the base station transmits a downlink signal (eg, discovery signal transmission) through the unlicensed band immediately after the corresponding channel is sensed as idle for at least sensing period T _drs = 25 us. And a signal not including the PDSCH). Here, T _drs is composed of a section T _f (= 16us) immediately following one slot section T _sl = 9us.

(3) third downlink CAP method

The base station may perform the following CAP for downlink signal transmission through multiple carriers in the unlicensed band.

1) Type A: The base station performs CAP on the multiple carriers based on the counter N (counter N considered in the CAP) defined for each carrier, and performs downlink signal transmission based on this.

Type A1: Counter N for each carrier is determined independently, and downlink signal transmission through each carrier is performed based on counter N for each carrier.

Type A2: The counter N for each carrier is determined as an N value for a carrier having the largest contention window size, and the downlink signal transmission through the carrier is performed based on the counter N for each carrier.

2) Type B: The base station performs a CAP based on the counter N only for a specific carrier among a plurality of carriers, and performs downlink signal transmission by determining whether the channel is idle for the remaining carriers before transmitting a signal on the specific carrier. .

Type B1: A single contention window size is defined for a plurality of carriers, and the base station utilizes a single contention window size when performing a CAP based on counter N for a specific carrier.

Type B2: The contention window size is defined for each carrier, and the largest contention window size among the contention window sizes is used when determining the N _init value for a specific carrier.

In the unlicensed band, the radio signal is first checked whether the channel is idle before transmitting the radio signal for coexistence with other systems, and then the radio signal is determined to be in the idle state. Can be transmitted. This process is called Channel Clearance Assessment (CCA).

On the other hand, in a system that determines the transmission of a data channel by a scheduler such as an NR system, if the channel determines that the channel is occupied by the CCA while the scheduler decides to transmit the data channel, the channel is determined to be idle. The transmission of the data channel can be delayed until the data channel can be delayed, or the data channel can be abandoned and the data channel can be rescheduled.

However, in the case of a channel or a signal that is periodically transmitted, such as a SSB (Synchronization Signal Block), if it is determined that the channel is occupied, it may be necessary to wait as long as the period of the SSB to transmit the SSB again. This can significantly reduce mobility quality by greatly delaying access of a terminal to access the system or delaying channel quality measurement of a terminal measuring channel quality of a corresponding cell. Therefore, in the case of a Licensed Assisted Access (LAA) system, a specific window called Discovery Measurement Timing Configuration (DMTC) is set, and a system connection or a Radio Resource Management (RRM) measurement, such as a synchronization signal / CRS (Common Reference Signal) measurement, is performed. In the case of the signal used for this purpose, it is defined to allow delayed transmission without waiting for the next cycle even if it is determined that the channel is occupied within the DMTC window.

In addition, the LAA system configures a DMTC window, and the UE performs serving cell measurement such as RRM measurement or RLM (Radio Link Monitoring) / Time & Frequency tracking for mobility support. Can be performed at least within the DMTC window.

In other words, in the LAA system, transmission of a synchronization signal having a period of 5 ms may be allowed outside of a DMTC window having a DMTC window period longer than 5 ms. However, if it is determined that the channel is occupied outside the DMTC window, the transmission of the synchronization signal is abandoned without allowing delay transmission of the synchronization signal. In addition, since the transmission power of the synchronization signal / CRS transmitted outside the DMTC window is not forced to be the same as the transmission power of the synchronization signal / CRS transmitted within the DMTC window, the synchronization signal / CRS transmitted outside the DMTC window is not adjacent. It may not be suitable to use for neighbor cell measurement.

In the NR system, similarly, a measurement window is set for an SSB used for system connection, serving cell measurement, or RRM measurement, and a channel is defined within the measurement window. Even if determined to be occupied, it may be necessary to allow delayed transmission of the SSB within the measurement window if possible.

18 to 20 illustrate examples of operations of a terminal, a base station, and a network according to the present invention.

18 is a view for explaining an operation implementation example of the terminal according to the present invention. Referring to FIG. 18, the terminal may set or receive an STTC window (SSB Transmission Timing Configuration Window) for a serving cell and an SMTC window (SSB-based Measurement Timing Configuration Window) for an adjacent cell (S1801). The UE may measure or receive the SSB of the serving cell within the STTC window (S1803). In addition, the terminal may measure the SSB of the neighbor cell in the SMTC window (S1805). In this case, a specific implementation example for setting the STTC window and the SMTC window of S1801 to S1805 and a specific implementation example for receiving and measuring the SSB in the STTC window and the SMTC window may be based on the following embodiments.

19 is a view for explaining an operation implementation example of a base station according to the present invention. Referring to FIG. 19, the base station may transmit one or more information for setting the STTC window and the SMTC window (S1901). Thereafter, the SSB may be transmitted in the STTC window and / or the SMTC window (S1903). For example, if the base station is associated with a serving cell, it can transmit an SSB within an STTC window, and if it is associated with an adjacent cell, it can transmit an SSB within an SMTC window.

Also, a specific implementation example for setting the STTC window and the SMTC window of S1901 to S1903 and a specific implementation example for transmitting the SSB in the STTC window and the SMTC window may be based on embodiments described below.

20 is a view for explaining an operation implementation example of the network according to the present invention. Referring to FIG. 20, the base station may transmit one or more information for setting the STTC window and the SMTC window to the terminal so that the STTC window and the SMTC window are set to the terminal (S2001). Thereafter, the SSB may be transmitted to the terminal within the STTC window and / or the SMTC window (S2003). For example, if the base station is associated with the serving cell, the base station may transmit the SSB to the terminal in the STTC window, and if the base station is associated with the neighbor cell, the base station may transmit the SSB to the terminal in the SMTC window.

Meanwhile, the terminal receiving the SSB in the STTC window or the SMTC window may measure or receive the SSB of the serving cell in the STTC window (S2005). In addition, the terminal may measure the SSB of the neighbor cell in the SMTC window (S2007). In this case, a specific implementation example for setting the STTC window and the SMTC window of S2001 to S2007 and a specific implementation example for receiving and measuring the SSB in the STTC window and the SMTC window may be based on embodiments described below.

Meanwhile, in the NR system, in order to utilize a wider frequency band, the LTE system is defined to operate in a high frequency band of 6GHz or more as well as a frequency band in which the LTE system operates. However, in a high frequency band such as 28 GHz, since the signal attenuation in the channel is very large, it may be considered to use beamforming not only at the transmitter but also at the receiver to secure system coverage.

Therefore, the terminal can perform a procedure for setting a beam suitable for communication with the serving cell, which is generally referred to as beam management. For example, a beam management signal may be transmitted while the transmission end changes the transmission beam for beam management, and the reception end also changes the reception beam to determine an optimal reception beam suitable for the transmission beam. Channel quality can be measured as it goes. In addition, the receiving end (eg, the terminal) finally performs a beam management procedure, such that a transmitting beam (eg, a serving cell) suitable for transmitting a data channel and a receiving end (eg, a serving cell) For example, the terminal) may set a reception beam suitable for receiving a data channel.

Meanwhile, even if the transmission / reception beam is determined through the beam management procedure as described above, since the transmission / reception beam is not an optimal transmission / reception beam for the neighbor cell, the UE measures the RRM of the neighbor cell for mobility support. When performing measurement, it may be necessary to measure channel quality by changing the reception beam. On the other hand, for a serving cell, it may be desirable to use a serving Tx & Rx beam set by beam management.

Therefore, setting one window for the measurement and using the set window for both serving cell measurement and RRM measurement for the adjacent cell is necessary. It may not be desirable. Therefore, it may be necessary to separately set the STTC window for serving cell measurement and SSB transmission of the serving cell and the SMTC window for neighbor cell RRM measurement of neighboring cells. On the other hand, in order to reduce the complexity of the terminal, when the transmission position of the SSB is aligned to some extent between cells, the STTC window and the SMTC window may overlap each other in time. In this case, since the period of serving cell measurement is desirable, the period for setting the SMTC window may be an integer multiple of the period for setting the STTC window (eg, a positive integer multiple). . In addition, when the SMTC window and the STTC window overlap, the terminal may use this for neighbor cell measurement. For example, when the SMTC window and the STTC window overlap in time, it is assumed that the SMTC window is an SMTC window and may be used for RRM measurement of an adjacent cell. In other words, the SMTC window may take precedence over the STTC window.

At this time, the SSB transmitted in the STTC window and the SMTC window or the channel and / or signals having periodic transmission characteristics may be used in the STTC window or the SMTC window even if the channel is occupied at the original transmission position. By allowing delayed transmission, it is possible to guarantee a periodic transmission probability of a predetermined window or more. For example, a plurality of candidate transmission positions that can be transmitted in the STTC window and the SMTC window may be set for signals having periodic transmission characteristics.

Therefore, when the UE performs a periodic measurement using a signal such as SSB, blind detection is performed on the plurality of candidate transmission positions in the STTC window and the SMTC window. It can be determined at which position the signal was actually transmitted.

At this time, when the transmission period of the signals set to be transmitted periodically is set shorter than the period of the STTC window or the SMTC window, a plurality of candidate transmission positions in the STTC window or the SMTC window. Although it is allowed to be delayed transmission within, if it is determined that the channel is occupied outside the STTC window or SMTC window, it may not allow transmission of the signal until the next period.

Therefore, the periodic channel and / or signal is based on the periodicity of the STTC window or SMTC window to determine the possibility of transmission of the periodic signal within the STTC window or SMTC window. As can be increased, it may be suitable to use the STTC window or SMTC window for periodic or quasi-periodic measurement purposes as described above. In addition, the transmission power of the periodic signals and / or channels transmitted in the STTC window or the SMTC window can be kept constant, thereby increasing the efficiency of the measurement application described above.

In addition, when the sequence to be used is different according to symbol positions, such as CSI-RS (Channel State Information-Reference Signal), a plurality of candidate transmission positions exist in the STTC window or the SMTC window. If the CSI-RS is allocated in the STTC window or the SMTC window and a collision occurs between two or more CSI-RS resources due to delayed transmission, the CSI-RS sequence is used to distinguish each CSI-RS. May be determined based on one of the plurality of candidate transmission locations. For example, generating a CSI-RS sequence based on a location where each of the plurality of CSI-RSs is first assigned may be suitable for simplifying the transmission period setting.

The above-described embodiment will be described in more detail with reference to FIG. 21. Referring to FIG. 21, an STTC (SSB Transmission Timing Configuration) for SSB transmission of a serving cell and an SSB-based Measurement Timing Configuration (SMTC) for measuring SSB channel quality of a neighbor cell are separately set. Can be. In this case, the period of the SMTC window may be set to an integer multiple of the period of the STTC window. In addition, in order to reduce complexity of the terminal, it may be desirable to set a timing offset with respect to a frame boundary to the same value.

In other words, if the timing offsets of the STTC window and the SMTC window are the same, the starting point of the first window for the STTC and the first window for the SMTC may be the same. In addition, since the period of the SMTC window is set to an integer multiple (eg, a positive integer multiple) of the cycle of the STTC window, a part of the plurality of STTC windows to be set may be used as the SMTC window. That is, the SMTC window may be configured as a subset of the STTC window. At this time, as described above, it is assumed that the SMTC window and the STTC window overlap the SMTC window, and may be used for RRM measurement of the adjacent cell.

In detail, the period of the STTC window and the period of the SMTC window may be set as follows.

1) Period of serving cell SSB for serving cell x M = Period of STTC window

2) Period of STTC window x N = Period of SMTC window

In other words, the period of the STTC window may be set to an integer multiple of the period of the SSB transmitted from the serving cell. In addition, the period of the SMTC window may be set to an integer multiple of the period of the STTC window. Thus, the period of the SMTC window may be an integer multiple of the period of the SSB for the serving cell.

A channel and / or signal having a periodic transmission characteristic such as SSB during the SMTC window or the STTC window may be configured with a plurality of candidate transmission positions capable of transmitting the periodic signal within the SMTC window or the STTC window.

In addition, if it is determined that the channel is occupied by the CCA at one candidate transmission position among the plurality of candidate transmission positions, transmission of the periodic signal may be retried at another candidate transmission position. In addition, in order to use the periodic channel and / or signal in the SMTC window and the STTC window as a channel and / or signal for periodic measurement, the periodic channel and / or signal transmitted in the SMTC window and the STTC window The transmission power may be a constant value. In this case, the transmission power may be defined in advance.

In addition, if the sequence for the periodic channel and / or signal is determined based on the symbol position may be determined by one of the plurality of candidate transmission positions. For example, the sequence may be generated / determined based on a candidate transmission location to which the periodic channel and / or signal is initially assigned.

As described above, in the measurement operation in the STTC window, the reception beam of the terminal is preferably set to be suitable for reception of a signal transmitted from a serving cell. On the other hand, since the optimal reception beams for each of the neighbor cells may be different in the SMTC window, the measurement may be performed while changing the reception beam through Rx beam sweeping. May be suitable.

Therefore, the STTC window can be used for measurement operations that do not require Rx beam sweeping. For example, the STTC window may be used for radio link monitoring (RLM) operations configured to use time and frequency tracking, serving Tx beams. In other words, the window for the RLM for the serving cell may not be set separately, and the STTC window may be used for the RLM for the serving cell.

On the other hand, the SMTC window may be used for a measurement operation that requires Rx beam sweeping. For example, the SMTC window may be used for operations such as neighbor cell measurement, Rx beam management using SSB, and RLM using non-serving Tx beam. . In other words, the window for the RLM for the non-serving cell may not be set separately, and the SMTC window may be used for the RLM for the non-serving cell.

Meanwhile, since the terminal may form a reception beam for receiving the data channel in the STTC window, the terminal may expect scheduling of the data channel even during the interval for SSB transmission in the STTC window. However, since the terminal is expected to form an arbitrary reception beam in the SMTC window, the terminal cannot expect to receive a normal data channel even if the data channel is transmitted during the period for SSB transmission in the SMTC window. Therefore, the terminal may not expect scheduling of the data channel during the interval for SSB transmission in the SMTC window.

In other words, the STB (SSB Transmission Timing Configuration) window for SSB transmission of the serving cell and the SSB-based Measurement Timing Configuration (SMTC) window for SSB channel quality measurement of neighbor cells are separately configured. Can be.

In this case, since neighbor cell measurement should be performed while changing the reception beam, the SMTC window may be used for a measurement requiring Rx beam sweeping. For example, there may be RRM measurement, Rx beam management, RLM for non-serving beam, and the like. Therefore, the transmission of the data channel may not be expected for the SSB transmission interval in the SMTC window. In contrast, the STTC window may be used for measurement using a serving beam set through beam management. For example, there may be time and frequency tracking, RLM using a serving beam, and the like. Therefore, data channel transmission can be expected for the SSB transmission interval in the STTC window.

22 illustrates an embodiment of a wireless communication device according to an embodiment of the present invention.

The wireless communication device described with reference to FIG. 22 may represent a terminal and / or a base station according to an embodiment of the present invention. However, the wireless communication device of FIG. 22 is not necessarily limited to the terminal and / or the base station according to the present embodiment, and may be replaced with various devices such as a vehicle communication system or device, a wearable device, a laptop, a smart phone, and the like. Can be. More specifically, the apparatus includes a base station, a network node, a transmission terminal, a reception terminal, a wireless device, a wireless communication device, a vehicle, a vehicle equipped with an autonomous driving function, an unmanned aerial vehicle (UAV), and artificial intelligence (AI). Modules, Robots, Augmented Reality Devices, Virtual Reality Devices, MTC Devices, IoT Devices, Medical Devices, Fintech Devices (or Financial Devices), Security Devices, Climate / Environmental Devices or Other Fourth Industrial Revolution Sector or device associated with a 5G service. For example, a drone may be a vehicle in which humans fly by radio control signals. For example, the MTC device and the IoT device are devices that do not require human intervention or manipulation, and may be smart meters, bending machines, thermometers, smart bulbs, door locks, various sensors, and the like. For example, a medical device is a device used for the purpose of examining, replacing, or modifying a device, structure, or function used for diagnosing, treating, alleviating, treating or preventing a disease. In vitro) diagnostic devices, hearing aids, surgical devices, and the like. For example, the security device is a device installed to prevent a risk that may occur and maintain safety, and may be a camera, a CCTV, a black box, or the like. For example, the fintech device is a device that can provide financial services such as mobile payment, and may be a payment device or a point of sales (POS). For example, the climate / environmental device may mean a device for monitoring and predicting the climate / environment.

In addition, the transmitting terminal and the receiving terminal are mobile phones, smart phones, laptop computers, digital broadcasting terminals, personal digital assistants, portable multimedia players, navigation, slate PCs. , Tablet PC, ultrabook, wearable device (e.g., smartwatch, glass glass, head mounted display), foldable ( foldable) devices and the like. For example, the HMD is a display device of a head type, and may be used to implement VR or AR.

Referring to FIG. 22, a terminal and / or a base station according to an embodiment of the present invention may include at least one processor 10, a transceiver 35, such as a digital signal processor (DSP) or a microprocessor, Power management module 5, antenna 40, battery 55, display 15, keypad 20, memory 30, subscriber identity module (SIM) card 25, speaker 45 and microphone ( 50) and the like. In addition, the terminal and / or base station may include a single antenna or multiple antennas. Meanwhile, the transceiver 35 may also be referred to as an RF module.

Processor 10 may be configured to implement the functions, procedures, and / or methods described in FIGS. In at least some of the embodiments described in FIGS. 1 through 21, the processor 10 may implement one or more protocols, such as layers of a radio interface protocol (eg, functional layers).

The memory 30 is connected to the processor 10 and stores information related to the operation of the processor 10. The memory 30 may be located inside or outside the processor 10 and may be connected to the processor through various technologies such as wired or wireless communication.

The user may enter various types of information (eg, indication information such as phone number) by pressing a button on the keypad 20 or by various techniques such as voice activation using the microphone 50. The processor 10 performs appropriate functions such as receiving and / or processing the user's information and dialing the telephone number.

It is also possible to retrieve data (eg, operation data) from the SIM card 25 or the memory 30 to perform the appropriate functions. In addition, the processor 10 may receive and process GPS information from a GPS chip to obtain location information of a terminal and / or a base station such as a vehicle navigation and a map service, or perform a function related to the location information. In addition, the processor 10 may display these various types of information and data on the display 15 for the user's reference and convenience.

The transceiver 35 is connected to the processor 10 to transmit and / or receive a radio signal such as a radio frequency (RF) signal. In this case, the processor 10 may control the transceiver 35 to initiate communication and transmit a radio signal including various types of information or data such as voice communication data. Transceiver 35 may include a receiver for receiving wireless signals and a transmitter for transmitting. Antenna 40 facilitates the transmission and reception of wireless signals. In some embodiments, upon receiving a wireless signal, the transceiver 35 may forward and convert the signal to a baseband frequency for processing by the processor 10. The processed signal may be processed according to various techniques, such as being converted into audible or readable information, and such a signal may be output through the speaker 45.

In some embodiments, the sensor may also be connected to the processor 10. The sensor may include one or more sensing devices configured to detect various types of information including speed, acceleration, light, vibration, and the like. The processor 10 receives and processes sensor information obtained from the sensor such as proximity, position, and image, thereby performing various functions such as collision avoidance and autonomous driving.

Meanwhile, various components such as a camera and a USB port may be additionally included in the terminal and / or the base station. For example, a camera may be further connected to the processor 10, and such a camera may be used for various services such as autonomous driving, vehicle safety service, and the like.

As such, FIG. 22 is only an embodiment of devices configuring the terminal and / or the base station, but is not limited thereto. For example, some components such as keypad 20, Global Positioning System (GPS) chip, sensor, speaker 45 and / or microphone 50 may be excluded for terminal and / or base station implementation in some embodiments. It may be.

Specifically, to implement the embodiments of the present disclosure, the operation of the wireless communication apparatus illustrated in FIG. 22 is a terminal according to an embodiment of the present disclosure. When the wireless communication device is a terminal according to an embodiment of the present disclosure, the processor 10 may include an STTC window (SSB Transmission Timing Configuration Window) for a serving cell and an SMTC window (SSB-based Measurement Timing Configuration Window) for an adjacent cell. ) Or can be set. In addition, the processor 10 may control the transceiver 35 to measure or receive the SSB of the serving cell within the STTC window. In addition, the processor 10 may measure the SSB of the adjacent cell within the SMTC window. In this case, a specific implementation example for setting the STTC window and the SMTC window and a specific implementation example for receiving and measuring the SSB in the STTC window and the SMTC window may be based on the above-described embodiments.

Meanwhile, in order to implement the embodiments of the present disclosure, when the wireless communication apparatus illustrated in FIG. 22 is a base station according to an embodiment of the present disclosure, the processor 10 may set one or more pieces of information for setting the STTC window and the SMTC window. Transceiver 35 can be controlled to transmit to the terminal. The processor 10 may then control the transceiver 35 to transmit the SSB within the STTC window and / or the SMTC window. For example, if the wireless communication device is associated with a serving cell, the processor 10 may control the transceiver 35 to transmit the SSB within the STTC window, and if the wireless communication device is associated with an adjacent cell, The processor 10 may control the transceiver 35 to transmit the SSB within the SMTC window.

In addition, a specific implementation example for setting the STTC window and the SMTC window and a specific implementation example for transmitting the SSB in the STTC window and the SMTC window may be based on the above-described embodiments.

23 shows an AI device 100 that can implement embodiments of the present invention.

The AI device 100 includes a TV, a projector, a mobile phone, a smartphone, a desktop computer, a notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), a navigation device, a tablet PC, a wearable device, and a set-top box (STB). ), A DMB receiver, a radio, a washing machine, a refrigerator, a desktop computer, a digital signage, a robot, a vehicle, or the like.

Referring to FIG. 23, the terminal 100 may include a communication unit 110, an input unit 120, a running processor 130, a sensing unit 140, an output unit 150, a memory 170, a processor 180, and the like. It may include.

The communicator 110 may transmit / receive data to / from external devices such as the other AI devices 100a to 100e or the AI server 200 using wired or wireless communication technology. For example, the communicator 110 may transmit / receive sensor information, a user input, a learning model, a control signal, and the like with external devices.

In this case, the communication technology used by the communication unit 110 may include Global System for Mobile Communication (GSM), Code Division Multi Access (CDMA), Long Term Evolution (LTE), 5G, Wireless LAN (WLAN), and Wireless-Fidelity (Wi-Fi). ), Bluetooth (Bluetooth®), RFID (Radio Frequency Identification), Infrared Data Association (IrDA), ZigBee, Near Field Communication (NFC), and the like.

The input unit 120 may acquire various types of data.

In this case, the input unit 120 may include a camera for inputting an image signal, a microphone for receiving an audio signal, a user input unit for receiving information from a user, and the like. Here, a signal obtained from the camera or microphone may be referred to as sensing data or sensor information by treating the camera or microphone as a sensor.

The input unit 120 may acquire input data to be used when acquiring an output using training data and a training model for model training. The input unit 120 may obtain raw input data, and in this case, the processor 180 or the running processor 130 may extract input feature points as preprocessing on the input data.

The running processor 130 may train a model composed of artificial neural networks using the training data. Here, the learned artificial neural network may be referred to as a learning model. The learning model may be used to infer result values for new input data other than the training data, and the inferred values may be used as a basis for judgment to perform an operation.

In this case, the running processor 130 may perform AI processing together with the running processor 240 of the AI server 200.

In this case, the running processor 130 may include a memory integrated with or implemented in the AI device 100. Alternatively, the running processor 130 may be implemented using the memory 170, an external memory directly coupled to the AI device 100, or a memory held in the external device.

The sensing unit 140 may acquire at least one of internal information of the AI device 100, surrounding environment information of the AI device 100, and user information using various sensors.

In this case, the sensors included in the sensing unit 140 include a proximity sensor, an illumination sensor, an acceleration sensor, a magnetic sensor, a gyro sensor, an inertial sensor, an RGB sensor, an IR sensor, a fingerprint sensor, an ultrasonic sensor, an optical sensor, a microphone, and a li. , Radar and so on.

The output unit 150 may generate an output related to visual, auditory, or tactile.

In this case, the output unit 150 may include a display unit for outputting visual information, a speaker for outputting auditory information, and a haptic module for outputting tactile information.

The memory 170 may store data supporting various functions of the AI device 100. For example, the memory 170 may store input data, training data, training model, training history, and the like acquired by the input unit 120.

The processor 180 may determine at least one executable operation of the AI device 100 based on the information determined or generated using the data analysis algorithm or the machine learning algorithm. In addition, the processor 180 may control the components of the AI device 100 to perform a determined operation.

To this end, the processor 180 may request, search, receive, or utilize data of the running processor 130 or the memory 170, and may perform an operation predicted or determined to be preferable among the at least one executable operation. The components of the AI device 100 may be controlled to execute.

In this case, when the external device needs to be linked to perform the determined operation, the processor 180 may generate a control signal for controlling the corresponding external device and transmit the generated control signal to the corresponding external device.

The processor 180 may obtain intention information about the user input, and determine the user's requirements based on the obtained intention information.

In this case, the processor 180 uses at least one of a speech to text (STT) engine for converting a voice input into a string or a natural language processing (NLP) engine for obtaining intention information of a natural language. Intent information corresponding to the input can be obtained.

In this case, at least one or more of the STT engine or the NLP engine may be configured as an artificial neural network, at least partly learned according to a machine learning algorithm. At least one of the STT engine or the NLP engine may be learned by the running processor 130, may be learned by the running processor 240 of the AI server 200, or may be learned by distributed processing thereof. It may be.

The processor 180 collects history information including operation contents of the AI device 100 or feedback of a user about the operation, and stores the information in the memory 170 or the running processor 130, or the AI server 200. Can transmit to external device. The collected historical information can be used to update the learning model.

The processor 180 may control at least some of the components of the AI device 100 to drive an application program stored in the memory 170. In addition, the processor 180 may operate by combining two or more of the components included in the AI device 100 to drive the application program.

24 illustrates an AI server 200 that can implement embodiments of the present invention.

Referring to FIG. 24, the AI server 200 may refer to an apparatus for learning an artificial neural network using a machine learning algorithm or using an learned artificial neural network. Here, the AI server 200 may be composed of a plurality of servers to perform distributed processing, or may be defined as a 5G network. In this case, the AI server 200 may be included as a part of the AI device 100 to perform at least some of the AI processing together.

The AI server 200 may include a communication unit 210, a memory 230, a running processor 240, a processor 260, and the like.

The communication unit 210 may transmit / receive data with an external device such as the AI device 100.

The memory 230 may include a model storage unit 231. The model storage unit 231 may store a trained model or a trained model (or artificial neural network 231a) through the running processor 240.

The running processor 240 may train the artificial neural network 231a using the training data. The learning model may be used while mounted in the AI server 200 of the artificial neural network, or may be mounted and used in an external device such as the AI device 100.

The learning model can be implemented in hardware, software or a combination of hardware and software. When some or all of the learning model is implemented in software, one or more instructions constituting the learning model may be stored in the memory 230.

The processor 260 may infer a result value with respect to the new input data using the learning model, and generate a response or control command based on the inferred result value.

25 shows an AI system 1 according to which embodiments of the present invention can be implemented.

Referring to FIG. 25, the AI system 1 may include at least one of an AI server 200, a robot 100a, an autonomous vehicle 100b, an XR device 100c, a smartphone 100d, or a home appliance 100e. This cloud network 10 is connected. Here, the robot 100a to which the AI technology is applied, the autonomous vehicle 100b, the XR device 100c, the smartphone 100d or the home appliance 100e may be referred to as the AI devices 100a to 100e.

The cloud network 10 may refer to a network that forms part of the cloud computing infrastructure or exists in the cloud computing infrastructure. Here, the cloud network 10 may be configured using a 3G network, 4G or Long Term Evolution (LTE) network or a 5G network.

That is, the devices 100a to 100e and 200 constituting the AI system 1 may be connected to each other through the cloud network 10. In particular, the devices 100a to 100e and 200 may communicate with each other through the base station, but may communicate with each other directly without passing through the base station.

The AI server 200 may include a server that performs AI processing and a server that performs operations on big data.

The AI server 200 includes at least one or more of the AI devices constituting the AI system 1, such as a robot 100a, an autonomous vehicle 100b, an XR device 100c, a smartphone 100d, or a home appliance 100e. Connected via the cloud network 10, the AI processing of the connected AI devices 100a to 100e may help at least a part.

In this case, the AI server 200 may train the artificial neural network according to the machine learning algorithm on behalf of the AI devices 100a to 100e and directly store the learning model or transmit the training model to the AI devices 100a to 100e.

At this time, the AI server 200 receives input data from the AI devices 100a to 100e, infers a result value with respect to the received input data using a learning model, and generates a response or control command based on the inferred result value. Can be generated and transmitted to the AI device (100a to 100e).

Alternatively, the AI devices 100a to 100e may infer a result value from input data using a direct learning model and generate a response or control command based on the inferred result value.

Hereinafter, various embodiments of the AI devices 100a to 100e to which the above-described technology is applied will be described. Here, the AI devices 100a to 100e illustrated in FIG. 22 may be viewed as specific embodiments of the AI device 100 illustrated in FIG. 20.

<AI + robot>

The robot 100a may be applied to an AI technology, and may be implemented as a guide robot, a transport robot, a cleaning robot, a wearable robot, an entertainment robot, a pet robot, an unmanned flying robot, or the like.

The robot 100a may include a robot control module for controlling an operation, and the robot control module may refer to a software module or a chip implemented in hardware.

The robot 100a acquires state information of the robot 100a by using sensor information obtained from various kinds of sensors, detects (recognizes) the surrounding environment and an object, generates map data, moves paths and travels. You can decide on a plan, determine a response to a user interaction, or determine an action.

Here, the robot 100a may use sensor information obtained from at least one sensor among a rider, a radar, and a camera to determine a movement route and a travel plan.

The robot 100a may perform the above operations by using a learning model composed of at least one artificial neural network. For example, the robot 100a may recognize the surrounding environment and the object using the learning model, and determine the operation using the recognized surrounding environment information or the object information. Here, the learning model may be directly learned by the robot 100a or may be learned by an external device such as the AI server 200.

In this case, the robot 100a may perform an operation by generating a result using a direct learning model, but transmits sensor information to an external device such as the AI server 200 and receives the result generated accordingly to perform an operation. You may.

The robot 100a determines a movement route and a travel plan by using at least one of map data, object information detected from sensor information, or object information obtained from an external device, and controls the driving unit to determine the movement path and the travel plan. Accordingly, the robot 100a may be driven.

The map data may include object identification information for various objects arranged in a space in which the robot 100a moves. For example, the map data may include object identification information about fixed objects such as walls and doors and movable objects such as flower pots and desks. The object identification information may include a name, type, distance, location, and the like.

In addition, the robot 100a may control the driving unit based on the control / interaction of the user, thereby performing an operation or driving. In this case, the robot 100a may acquire the intention information of the interaction according to the user's motion or voice utterance, and determine the response based on the obtained intention information to perform the operation.

<AI + autonomous driving>

The autonomous vehicle 100b may be implemented by an AI technology and implemented as a mobile robot, a vehicle, an unmanned aerial vehicle, or the like.

The autonomous vehicle 100b may include an autonomous driving control module for controlling the autonomous driving function, and the autonomous driving control module may refer to a software module or a chip implemented in hardware. The autonomous driving control module may be included inside as a configuration of the autonomous driving vehicle 100b, but may be configured as a separate hardware and connected to the outside of the autonomous driving vehicle 100b.

The autonomous vehicle 100b obtains state information of the autonomous vehicle 100b by using sensor information obtained from various types of sensors, detects (recognizes) an environment and an object, generates map data, A travel route and a travel plan can be determined, or an action can be determined.

Here, the autonomous vehicle 100b may use sensor information acquired from at least one sensor among a lidar, a radar, and a camera, similarly to the robot 100a, to determine a movement route and a travel plan.

In particular, the autonomous vehicle 100b may receive or recognize sensor information from external devices or receive information directly recognized from external devices. .

The autonomous vehicle 100b may perform the above operations by using a learning model composed of at least one artificial neural network. For example, the autonomous vehicle 100b may recognize a surrounding environment and an object using a learning model, and determine a driving line using the recognized surrounding environment information or object information. Here, the learning model may be learned directly from the autonomous vehicle 100b or may be learned from an external device such as the AI server 200.

In this case, the autonomous vehicle 100b may perform an operation by generating a result using a direct learning model, but transmits sensor information to an external device such as the AI server 200 and receives the result generated accordingly. You can also do

The autonomous vehicle 100b determines a moving route and a driving plan by using at least one of map data, object information detected from sensor information, or object information obtained from an external device, and controls the driving unit to determine the moving route and the driving plan. According to the plan, the autonomous vehicle 100b can be driven.

The map data may include object identification information for various objects arranged in a space (eg, a road) on which the autonomous vehicle 100b travels. For example, the map data may include object identification information about fixed objects such as street lights, rocks, buildings, and movable objects such as vehicles and pedestrians. The object identification information may include a name, type, distance, location, and the like.

In addition, the autonomous vehicle 100b may perform an operation or drive by controlling the driving unit based on the user's control / interaction. In this case, the autonomous vehicle 100b may acquire the intention information of the interaction according to the user's motion or voice utterance, and determine the response based on the obtained intention information to perform the operation.

<AI + XR>

AI technology is applied to the XR device 100c, and a head-mount display (HMD), a head-up display (HUD) provided in a vehicle, a television, a mobile phone, a smartphone, a computer, a wearable device, a home appliance, and a digital signage It may be implemented as a vehicle, a fixed robot or a mobile robot.

The XR apparatus 100c analyzes three-dimensional point cloud data or image data acquired through various sensors or from an external device to generate location data and attribute data for three-dimensional points, thereby providing information on the surrounding space or reality object. It can obtain and render XR object to output. For example, the XR apparatus 100c may output an XR object including additional information about the recognized object in correspondence with the recognized object.

The XR apparatus 100c may perform the above-described operations using a learning model composed of at least one artificial neural network. For example, the XR apparatus 100c may recognize a reality object in 3D point cloud data or image data using a learning model, and may provide information corresponding to the recognized reality object. Here, the learning model may be learned directly from the XR device 100c or learned from an external device such as the AI server 200.

In this case, the XR apparatus 100c may perform an operation by generating a result using a direct learning model, but transmits sensor information to an external device such as the AI server 200 and receives the result generated accordingly. It can also be done.

<AI + Robot + Autonomous Driving>

The robot 100a may be implemented using an AI technology and an autonomous driving technology, such as a guide robot, a transport robot, a cleaning robot, a wearable robot, an entertainment robot, a pet robot, an unmanned flying robot, or the like.

The robot 100a to which the AI technology and the autonomous driving technology are applied may mean a robot itself having an autonomous driving function, a robot 100a interacting with the autonomous vehicle 100b, and the like.

The robot 100a having an autonomous driving function may collectively move devices according to a given copper line or determine a copper line by itself without controlling the user.

The robot 100a and the autonomous vehicle 100b having the autonomous driving function may use a common sensing method to determine one or more of a movement route or a driving plan. For example, the robot 100a and the autonomous vehicle 100b having the autonomous driving function may determine one or more of the movement route or the driving plan by using information sensed through the lidar, the radar, and the camera.

The robot 100a, which interacts with the autonomous vehicle 100b, is present separately from the autonomous vehicle 100b and is linked to the autonomous driving function inside or outside the autonomous vehicle 100b, or the autonomous vehicle 100b. ) May perform an operation associated with the user who boarded.

At this time, the robot 100a interacting with the autonomous vehicle 100b acquires sensor information on behalf of the autonomous vehicle 100b and provides the sensor information to the autonomous vehicle 100b or obtains sensor information, By generating object information and providing the object information to the autonomous vehicle 100b, the autonomous vehicle function of the autonomous vehicle 100b can be controlled or assisted.

Alternatively, the robot 100a interacting with the autonomous vehicle 100b may monitor a user in the autonomous vehicle 100b or control a function of the autonomous vehicle 100b through interaction with the user. . For example, when it is determined that the driver is in a drowsy state, the robot 100a may activate the autonomous driving function of the autonomous vehicle 100b or assist the control of the driver of the autonomous vehicle 100b. Here, the function of the autonomous vehicle 100b controlled by the robot 100a may include not only an autonomous vehicle function but also a function provided by a navigation system or an audio system provided inside the autonomous vehicle 100b.

Alternatively, the robot 100a interacting with the autonomous vehicle 100b may provide information or assist a function to the autonomous vehicle 100b outside the autonomous vehicle 100b. For example, the robot 100a may provide traffic information including signal information to the autonomous vehicle 100b, such as a smart signal light, or may interact with the autonomous vehicle 100b, such as an automatic electric charger of an electric vehicle. You can also automatically connect an electric charger to the charging port.

<AI + robot + XR>

The robot 100a may be applied to an AI technology and an XR technology, and may be implemented as a guide robot, a transport robot, a cleaning robot, a wearable robot, an entertainment robot, a pet robot, an unmanned flying robot, a drone, or the like.

The robot 100a to which the XR technology is applied may mean a robot that is the object of control / interaction in the XR image. In this case, the robot 100a may be distinguished from the XR apparatus 100c and interlocked with each other.

When the robot 100a that is the object of control / interaction in the XR image acquires sensor information from sensors including a camera, the robot 100a or the XR apparatus 100c generates an XR image based on the sensor information. In addition, the XR apparatus 100c may output the generated XR image. The robot 100a may operate based on a control signal input through the XR apparatus 100c or user interaction.

For example, the user may check an XR image corresponding to the viewpoint of the robot 100a that is remotely linked through an external device such as the XR device 100c, and may adjust the autonomous driving path of the robot 100a through interaction. You can control the movement or driving, or check the information of the surrounding objects.

<AI + Autonomous driving + XR>

The autonomous vehicle 100b may be implemented by an AI technology and an XR technology, such as a mobile robot, a vehicle, an unmanned aerial vehicle, and the like.

The autonomous vehicle 100b to which the XR technology is applied may mean an autonomous vehicle having a means for providing an XR image, or an autonomous vehicle that is the object of control / interaction in the XR image. In particular, the autonomous vehicle 100b, which is the object of control / interaction in the XR image, is distinguished from the XR apparatus 100c and may be linked with each other.

The autonomous vehicle 100b having means for providing an XR image may acquire sensor information from sensors including a camera and output an XR image generated based on the obtained sensor information. For example, the autonomous vehicle 100b may provide a passenger with an XR object corresponding to a real object or an object in a screen by outputting an XR image with a HUD.

In this case, when the XR object is output to the HUD, at least a part of the XR object may be output to overlap the actual object to which the occupant's eyes are directed. On the other hand, when the XR object is output on the display provided inside the autonomous vehicle 100b, at least a portion of the XR object may be output to overlap the object in the screen. For example, the autonomous vehicle 100b may output XR objects corresponding to objects such as a road, another vehicle, a traffic light, a traffic sign, a motorcycle, a pedestrian, a building, and the like.

When the autonomous vehicle 100b that is the object of control / interaction in the XR image acquires sensor information from sensors including a camera, the autonomous vehicle 100b or the XR apparatus 100c may be based on the sensor information. The XR image may be generated, and the XR apparatus 100c may output the generated XR image. In addition, the autonomous vehicle 100b may operate based on a user's interaction or a control signal input through an external device such as the XR apparatus 100c.

The embodiments described above are the components and features of the present invention are combined in a predetermined form. Each component or feature is to be considered optional unless stated otherwise. Each component or feature may be embodied in a form that is not combined with other components or features. It is also possible to combine some of the components and / or features to constitute an embodiment of the invention. The order of the operations described in the embodiments of the present invention 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. It is obvious that the claims may be combined to form embodiments by combining claims that do not have an explicit citation in the claims or as new claims by post-application correction.

Certain operations described in this document as being performed by a base station may be performed by an upper node in some cases. That is, it is apparent that various operations performed for communication with the terminal in a network including a plurality of network nodes including a base station may be performed by the base station or other network nodes other than the base station. A base station may be replaced by terms such as a fixed station, a Node B, an eNode B (eNB), an access point, and the like.

Embodiments according to the present invention may be implemented by various means, for example, hardware, firmware, software, or a combination thereof. In the case of a hardware implementation, an embodiment of the present invention may include one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), FPGAs ( field programmable gate arrays), processors, controllers, microcontrollers, microprocessors, and the like.

In the case of implementation by firmware or software, an embodiment of the present invention may be implemented in the form of a module, procedure, function, etc. that performs the functions or operations described above. The software code may be stored in a memory unit and driven by a processor. The memory unit may be located inside or outside the processor, and may exchange data with the processor by various known means.

It will be apparent to those skilled in the art that the present invention may be embodied in other specific forms without departing from the spirit of the invention. Accordingly, the above detailed description should not be construed as limiting in all aspects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

The method and apparatus for receiving the periodic signal in the unlicensed band as described above have been described with reference to the example applied to the fifth generation NewRAT system, but can be applied to various wireless communication systems in addition to the fifth generation NewRAT system.

Claims (15)

1. In the method for receiving a terminal receiving a periodic signal in the unlicensed band,

   Receive first information related to the first windows for the serving cell and second information related to the second windows for the adjacent cell,

   Receive a periodic signal transmitted from the serving cell within the first windows,

   Receiving a periodic signal transmitted from the adjacent cell in the second windows,

   Wherein the second windows consist of a subset of the first windows,

   Periodic signal reception method.
2. The method of claim 1,

   The offset value for the first windows and the offset value for the second windows are the same,

   Periodic signal reception method.
3. The method of claim 1,

   The period for the second windows is a positive integer multiple of the period for the first windows,

   Periodic signal reception method.
4. The method of claim 1,

   In a period in which the first windows and the second windows overlap, a periodic signal transmitted from the neighbor cell is received.

   Periodic signal reception method.
5. The method of claim 1,

   The period for the first windows is a positive integer multiple of the transmission period of the periodic signal transmitted from the serving cell,

   Periodic signal reception method.
6. The method of claim 1,

   A data channel is received within the first windows,

   No data channel is received within the second windows,

   Periodic signal reception method.
7. The method of claim 1,

   The terminal is capable of communicating with at least one of a terminal, a network, a base station, and an autonomous vehicle other than the terminal,

   Periodic signal reception method.
8. In the terminal for receiving a periodic signal in the unlicensed band,

   At least one transceiver;

   At least one processor; And

   At least one memory operatively coupled to the at least one processor and storing instructions that, when executed, cause the at least one processor to perform a particular operation;

   The specific action,

   Receive first information related to first windows for a serving cell and second information related to second windows for an adjacent cell via the at least one transceiver,

   Receive a periodic signal transmitted from the serving cell in the first windows via the at least one transceiver,

   Receiving a periodic signal transmitted from the adjacent cell in the second windows via the at least one transceiver,

   Wherein the second windows consist of a subset of the first windows,

   Terminal.
9. The method of claim 8,

   The offset value for the first windows and the offset value for the second windows are the same,

   Terminal.
10. The method of claim 8,

    The period for the second windows is a positive integer multiple of the period for the first windows,

    Terminal.
11. The method of claim 8,

    In a period in which the first windows and the second windows overlap, a periodic signal transmitted from the neighbor cell is received.

    Terminal.
12. The method of claim 8,

    The period for the first windows is a positive integer multiple of the transmission period of the periodic signal transmitted from the serving cell,

    Terminal.
13. The method of claim 8,

    A data channel is received within the first windows,

    No data channel is received within the second windows,

    Terminal.
14. The method of claim 8,

    The terminal is capable of communicating with at least one of a terminal, a network, a base station, and an autonomous vehicle other than the terminal,

    Terminal.
15. An apparatus for receiving a periodic signal in an unlicensed band,

    At least one processor; And

    At least one memory operatively coupled to the at least one processor and storing instructions that, when executed, cause the at least one processor to perform a particular operation;

    The specific action,

    Receive first information related to the first windows for the serving cell and second information related to the second windows for the adjacent cell,

    Receive a periodic signal transmitted from the serving cell within the first windows,

    Receiving a periodic signal transmitted from the adjacent cell in the second windows,

    Wherein the second windows consist of a subset of the first windows,

    Device.

Images