WO2020013561A1 - Procédé d'émission et de réception de données dans un système de communication sans fil et appareil associé - Google Patents

Procédé d'émission et de réception de données dans un système de communication sans fil et appareil associé Download PDF

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Publication number
WO2020013561A1
WO2020013561A1 PCT/KR2019/008406 KR2019008406W WO2020013561A1 WO 2020013561 A1 WO2020013561 A1 WO 2020013561A1 KR 2019008406 W KR2019008406 W KR 2019008406W WO 2020013561 A1 WO2020013561 A1 WO 2020013561A1
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Prior art keywords
ack
nack
harq
downlink
terminal
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PCT/KR2019/008406
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English (en)
Korean (ko)
Inventor
송화월
유향선
이윤정
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엘지전자 주식회사
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Publication of WO2020013561A1 publication Critical patent/WO2020013561A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/12—Wireless traffic scheduling

Definitions

  • the present invention relates to a wireless communication system, and more particularly, to a method for supporting downlink data transmission and reception, and a method for supporting a hybrid automatic repeat and request (HARQ) Ack / Nack operation.
  • HARQ hybrid automatic repeat and request
  • Mobile communication systems have been developed to provide voice services while ensuring user activity.
  • the mobile communication system has expanded not only voice but also data service, and the explosive increase in traffic causes shortage of resources and users require faster services. Therefore, a more advanced mobile communication system is required. .
  • the present specification proposes a method for transmitting and receiving data in a wireless communication system and an apparatus therefor.
  • the present specification proposes a method and apparatus for defining HARQ Ack / Nack transmission operation of a terminal for data transmitted from a relay node.
  • the present specification proposes a method for transmitting Ack / Nack of a terminal for downlink data according to a state set by a network node, and an apparatus therefor.
  • the present specification proposes a method for transmitting Ack / Nack of the UE for downlink data according to a specific condition set by the network node, and an apparatus therefor.
  • a method of transmitting and receiving data by a first relay node in a wireless communication system receiving control information from a relay node, wherein the control information is HARQ (Hybrid) for downlink data.
  • Automatic Repeat and request includes status information related to a specific operation of ACK / NACK or a threshold value related to a specific condition related to transmission of the HARQ ACK / NACK;
  • the specific operation is an operation of transmitting the ACK / NACK signal on the first available resource among the allocated resources.
  • the ACK / NACK signal for the downlink data is dropped, skipped, or postpone in the specific operation.
  • the threshold value is a minimum value of channel quality for determining whether to transmit the ACK / NACK signal.
  • the performing of the specific operation may include: measuring channel quality of a downlink physical channel (PDSCH) on which the downlink data is transmitted; Comparing the channel quality with the threshold; And determining whether to transmit the ACK / NACK signal according to whether the channel quality is greater than the threshold value.
  • PDSCH downlink physical channel
  • the ACK / NACK signal when the channel quality is greater than the threshold, the ACK / NACK signal is transmitted to the relay node, and when the channel quality is smaller than the threshold, the ACK / NACK signal is It is not sent to the relay node.
  • the ACK / NACK signal is transmitted through Semi-Persistent Scheduling (SPS) Physical Uplink Shared Channel (PUSCH).
  • SPS Semi-Persistent Scheduling
  • PUSCH Physical Uplink Shared Channel
  • the present invention further includes receiving an uplink grant that triggers the SPS PUSCH.
  • control information is information indicating that downlink transmission or uplink transmission is performed by using a gap according to switching and propagation delay between uplink and downlink of the relay node as additional resources. It further includes.
  • the present invention includes an RF module (radio frequency module) for transmitting and receiving radio signals, and a processor that is functionally connected to the RF module, the processor receives control information from the relay node (Control Information)
  • the control information may include status information related to a specific operation of a hybrid automatic repeat and request (HARQ) ACK / NACK for downlink data or a threshold value associated with a specific condition related to transmission of the HARQ ACK / NACK.
  • the terminal receives the downlink data from a relay node, and performs a specific operation related to transmission of an ACK / NACK signal for the downlink data based on the state information or the threshold value.
  • HARQ hybrid automatic repeat and request
  • the UE can transmit the Ack / Nack for the downlink data only in a specific state or condition.
  • the present specification has an effect that the terminal can efficiently use resources because the terminal transmits the Ack /hack for the downlink data only in a specific state or a specific condition.
  • the present specification can reduce the time and frequency of the switching operation between the transmission mode and the reception mode of the relay node by transmitting and receiving data through the semi-persistent scheduling (SPS).
  • SPS semi-persistent scheduling
  • the present specification has the effect of efficiently using resources by reducing the time and frequency of the switching operation between the transmission mode and the reception mode of the relay node.
  • 1 is a diagram showing an AI device to which the method proposed in the present specification can be applied.
  • FIG. 2 is a diagram illustrating an AI server to which the method proposed in the present specification can be applied.
  • FIG. 3 is a diagram illustrating an AI system to which the method proposed in the present specification can be applied.
  • FIG. 4 shows a structure of a radio frame in a wireless communication system to which the present invention can be applied.
  • FIG. 5 is a diagram illustrating a resource grid for one downlink slot in a wireless communication system to which the present invention can be applied.
  • FIG. 6 shows a structure of a downlink subframe in a wireless communication system to which the present invention can be applied.
  • FIG. 7 shows a structure of an uplink subframe in a wireless communication system to which the present invention can be applied.
  • FIG. 8 is a diagram illustrating an example of a self-contained slot structure to which the method proposed in the present specification can be applied.
  • IAB integrated access and backhaul
  • FIGS. 10 and 11 are diagrams showing an example of a scheduling method according to an embodiment of the present invention.
  • FIG. 12 is a diagram illustrating an example of a terminal operation according to an exemplary embodiment.
  • FIG. 13 is a diagram illustrating an example of a relay node operation according to an embodiment of the present invention.
  • FIG. 14 illustrates a block diagram of a wireless communication device to which the methods proposed herein can be applied.
  • 15 is another example of a block diagram of a wireless communication device to which the methods proposed herein may be applied.
  • a base station has a meaning as a terminal node of a network that directly communicates with a terminal.
  • the specific operation described as performed by the base station in this document may be performed by an upper node of the base station in some cases. That is, it is obvious that various operations performed for communication with a terminal in a network composed of 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.
  • the term 'base station (BS)' refers to a fixed station, a Node B, an evolved-NodeB (eNB), a base transceiver system (BTS), an access point (AP), and a general NB (gNB).
  • eNB evolved-NodeB
  • BTS base transceiver system
  • AP access point
  • gNB general NB
  • a 'terminal' may be fixed or mobile, and may include a user equipment (UE), a mobile station (MS), a user terminal (UT), a mobile subscriber station (MSS), a subscriber station (SS), and an AMS ( Advanced Mobile Station (WT), Wireless Terminal (WT), Machine-Type Communication (MTC) Device, Machine-to-Machine (M2M) Device, Device-to-Device (D2D) Device, etc.
  • UE user equipment
  • MS mobile station
  • UT user terminal
  • MSS mobile subscriber station
  • SS subscriber station
  • AMS Advanced Mobile Station
  • WT Wireless Terminal
  • MTC Machine-Type Communication
  • M2M Machine-to-Machine
  • D2D Device-to-Device
  • downlink means communication from a base station to a terminal
  • uplink means communication from a terminal to a base station.
  • a transmitter may be part of a base station, and a receiver may be part of a terminal.
  • a transmitter may be part of a terminal and a receiver may be part of a base station.
  • CDMA code division multiple access
  • FDMA frequency division multiple access
  • TDMA time division multiple access
  • OFDMA orthogonal frequency division multiple access
  • SC-FDMA single carrier frequency division multiple access
  • GSM global system for mobile communications
  • GPRS general packet radio service
  • EDGE enhanced data rates for GSM evolution
  • OFDMA may be implemented in a wireless technology such as IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802-20, evolved UTRA (E-UTRA).
  • UTRA is part of a universal mobile telecommunications system (UMTS).
  • 3rd generation partnership project (3GPP) long term evolution (LTE) is a part of evolved UMTS (E-UMTS) using E-UTRA, and employs OFDMA in downlink and SC-FDMA in uplink.
  • LTE-A (advanced) is the evolution of 3GPP LTE.
  • NR 5G new radio
  • eMBB Enhanced Mobile Broadband
  • MMTC Massive Machine Type Communications
  • URLLC Ultra-Reliable and Low Latency Communications
  • V2X vehicle-to-everything
  • the 5G NR standard is divided into standalone (SA) and non-standalone (NSA) according to co-existence between the NR system and the LTE system.
  • 5G NR supports various subcarrier spacings, and supports CP-OFDM in downlink, CP-OFDM and DFT-s-OFDM in uplink (SC-OFDM).
  • Embodiments of the present invention may be supported by standard documents disclosed in at least one of IEEE 802, 3GPP, and 3GPP2, which are wireless access systems. That is, steps or parts which are not described to clearly reveal the technical spirit of the present invention among the embodiments of the present invention may be supported by the above documents. In addition, all terms disclosed in the present document can be described by the above standard document.
  • 'A and / or B' may be interpreted as the same meaning as 'comprising at least one of A or B'.
  • the three main requirements areas of 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).
  • eMBB Enhanced Mobile Broadband
  • mMTC massive Machine Type Communication
  • URLLC Ultra-reliable and Low Latency Communications
  • KPI key performance indicator
  • 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.
  • 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.
  • cloud storage is a special use case that drives the growth of uplink data rates.
  • 5G is also used for remote tasks 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.
  • augmented reality requires very low latency and instantaneous amount of data.
  • one of the most anticipated 5G use cases relates to the ability to seamlessly connect embedded sensors in all applications, namely mMTC.
  • 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 change the industry through ultra-reliable / low-latency links available, 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.
  • 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 above (6K, 8K and above) resolutions 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 examples 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 field 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.
  • wireless modules enable communication between vehicles, the exchange of information between the vehicle and the supporting infrastructure, and the exchange of information between the vehicle and other connected devices (eg, devices carried by pedestrians).
  • Safety systems guide 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.
  • Smart cities and smart homes 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.
  • Smart grids interconnect these sensors using digital information and communication technologies to gather 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 may support telemedicine that provides clinical care from a distance. This can help reduce barriers to distance and improve access to healthcare 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 use cases for 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.
  • Machine learning refers to the field of researching methodologies that define and solve various problems 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.
  • ANN Artificial Neural Network
  • 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 includes 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.
  • 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, and an initialization function.
  • 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 optimal model parameters in the learning process of artificial neural networks.
  • 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 should infer when the training data is input to the artificial neural network.
  • 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.
  • DNN deep neural network
  • Deep Learning Deep Learning
  • machine learning is used to mean deep learning.
  • a robot can mean a machine that automatically handles or operates a given task by its own ability.
  • 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.
  • 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.
  • Autonomous driving means a technology that drives by itself
  • autonomous vehicle means a vehicle that runs without a user's manipulation or with minimal manipulation of a user.
  • 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 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.
  • the autonomous vehicle may be viewed as a robot having an autonomous driving function.
  • Extended reality collectively refers to Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR).
  • VR technology provides real world objects or backgrounds only in CG images
  • AR technology provides virtual CG images on real objects images
  • 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.
  • the virtual object is used as a complementary form to the real object, whereas in the MR technology, the virtual object and the real object are used in the same nature.
  • HMD Head-Mount Display
  • HUD Head-Up Display
  • mobile phone tablet PC, laptop, desktop, TV, digital signage, etc. It can be called.
  • FIG 1 illustrates an AI device 100 according to an embodiment of the present invention.
  • the AI device 100 is a TV, a projector, a mobile phone, a smartphone, a desktop computer, a notebook, 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.
  • PDA personal digital assistant
  • PMP portable multimedia player
  • STB set-top box
  • the terminal 100 includes 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.
  • the communicator 110 may transmit / receive sensor information, a user input, a learning model, a control signal, and the like with external devices.
  • 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 TM, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), ZigBee, and Near Field Communication (NFC).
  • GSM Global System for Mobile communication
  • CDMA Code Division Multi Access
  • LTE Long Term Evolution
  • 5G Fifth Generation
  • Wi-Fi Wireless LAN
  • Wi-Fi Wireless-Fidelity
  • Bluetooth TM Radio Frequency Identification
  • RFID Radio Frequency Identification
  • IrDA Infrared Data Association
  • ZigBee ZigBee
  • NFC Near Field Communication
  • the input unit 120 may acquire various types of data.
  • 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.
  • the 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.
  • 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.
  • the running processor 130 may perform AI processing together with the running processor 240 of the AI server 200.
  • the running processor 130 may include a memory integrated with or implemented in the AI device 100.
  • the running processor 130 may be implemented using a 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.
  • 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, etc.
  • the output unit 150 may generate an output related to sight, hearing, or touch.
  • 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.
  • 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 the determined operation.
  • 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.
  • 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.
  • 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.
  • STT speech to text
  • NLP natural language processing
  • 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 two or more of the components included in the AI device 100 in combination with each other to drive the application program.
  • FIG 2 illustrates an AI server 200 according to an embodiment of the present invention.
  • 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.
  • the AI server 200 may be composed of a plurality of servers to perform distributed processing, or may be defined as a 5G network.
  • 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 model being trained or learned (or an 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.
  • FIG 3 shows an AI system 1 according to an embodiment of the present invention.
  • 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.
  • 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 or exists within a cloud computing infrastructure.
  • the cloud network 10 may be configured using a 3G network, 4G or Long Term Evolution (LTE) network or a 5G network.
  • LTE Long Term Evolution
  • the devices 100a to 100e and 200 constituting the AI system 1 may be connected to each other through the cloud network 10.
  • the devices 100a to 100e and 200 may communicate with each other through the base station, they may also 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.
  • 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.
  • the AI processing of the connected AI devices 100a to 100e may help at least a part.
  • 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.
  • the AI server 200 receives the input data from the AI device (100a to 100e), infers the result value with respect to the input data received using the training 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).
  • 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.
  • the AI devices 100a to 100e to which the above-described technology is applied will be described.
  • the AI devices 100a to 100e illustrated in FIG. 3 may be viewed as specific embodiments of the AI device 100 illustrated in FIG. 1.
  • 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, or moves a route and travels. You can decide on a plan, determine a response to a user interaction, or determine an action.
  • the robot 100a may use sensor information acquired 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-described operations by using a learning model composed of at least one artificial neural network.
  • the robot 100a may recognize a surrounding environment and an object using a learning model, and determine an operation using the recognized surrounding environment information or object information.
  • 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.
  • 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 moving route and a traveling 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 traveling plan. Accordingly, the robot 100a may be driven.
  • the map data may include object identification information about various objects arranged in a space in which the robot 100a moves.
  • 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.
  • the robot 100a may control the driving unit based on the control / interaction of the user, thereby performing an operation or driving.
  • the robot 100a may acquire the intention information of the interaction according to the user's motion or speech, and determine a response based on the acquired intention information to perform the operation.
  • 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 connected to the outside of the autonomous driving vehicle 100b as a separate hardware.
  • the autonomous vehicle 100b obtains state information of the autonomous vehicle 100b by using sensor information obtained from various types of sensors, detects (recognizes) the surrounding environment and an object, generates map data, A travel route and a travel plan can be determined, or an action can be determined.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the autonomous vehicle 100b may perform an operation or drive by controlling the driving unit based on the user's control / interaction.
  • 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 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.
  • HMD head-mount display
  • HUD head-up display
  • the XR apparatus 100c analyzes three-dimensional point cloud data or image data obtained 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.
  • the XR apparatus 100c may recognize a real object from 3D point cloud data or image data using a learning model, and may provide information corresponding to the recognized real object.
  • the learning model may be learned directly from the XR device 100c or learned from an external device such as the AI server 200.
  • the XR device 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.
  • the robot 100a may be applied to an AI technology and an autonomous driving 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 to which the AI technology and the autonomous driving technology are applied may mean a robot itself having an autonomous driving function or a robot 100a interacting with the autonomous vehicle 100b.
  • the robot 100a having an autonomous driving function may collectively move devices by moving according to a given copper wire or determine the copper wire by itself without the user's control.
  • 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 moving route or a driving plan.
  • 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 interacting 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. ) Can be performed in conjunction with the user aboard.
  • 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 and displays the surrounding environment information or 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.
  • 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. .
  • the robot 100a may activate the autonomous driving function of the autonomous vehicle 100b or assist control of the driver of the autonomous vehicle 100b.
  • 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.
  • 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.
  • 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.
  • the robot 100a may be implemented with 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.
  • the robot 100a may be distinguished from the XR apparatus 100c and interlocked with each other.
  • the robot 100a 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.
  • 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.
  • 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 provided with means for providing an XR image, or an autonomous vehicle that is the object of control / interaction in the XR image.
  • the autonomous vehicle 100b that is the object of control / interaction in the XR image may be distinguished from the XR apparatus 100c and interlocked with each other.
  • the autonomous vehicle 100b having means for providing an XR image may obtain sensor information from sensors including a camera and output an XR image generated based on the acquired sensor information.
  • the autonomous vehicle 100b may provide an XR object corresponding to a real object or an object in a screen by providing a passenger with an HUD and outputting an XR image.
  • the XR object 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.
  • the XR object when the XR object is output on the display provided inside the autonomous vehicle 100b, at least a part of the XR object may be output to overlap the object in the screen.
  • 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.
  • 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.
  • 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.
  • eLTE eNB An eLTE eNB is an evolution of an eNB that supports connectivity to EPC and NGC.
  • gNB Node that supports NR as well as connection with NGC.
  • New RAN A radio access network that supports NR or E-UTRA or interacts with NGC.
  • Network slice A network slice defined by the operator to provide an optimized solution for specific market scenarios that require specific requirements with end-to-end coverage.
  • Network function is a logical node within a network infrastructure with well-defined external interfaces and well-defined functional behavior.
  • NG-C Control plane interface used for the NG2 reference point between the new RAN and NGC.
  • NG-U User plane interface used for the NG3 reference point between the new RAN and NGC.
  • Non-standalone NR A deployment configuration where a gNB requires an LTE eNB as an anchor for control plane connection to EPC or an eLTE eNB as an anchor for control plane connection to NGC.
  • Non-Standalone E-UTRA Deployment configuration in which the eLTE eNB requires gNB as an anchor for control plane connection to NGC.
  • User plane gateway The endpoint of the NG-U interface.
  • Numerology Corresponds to one subcarrier spacing in the frequency domain. By scaling the reference subcarrier spacing to an integer N, different numerology can be defined.
  • NR NR Radio Access or New Radio
  • FIG. 4 shows a structure of a radio frame in a wireless communication system to which the present invention can be applied.
  • 3GPP LTE / LTE-A supports a type 1 radio frame structure applicable to frequency division duplex (FDD) and a type 2 radio frame structure applicable to time division duplex (TDD).
  • FDD frequency division duplex
  • TDD time division duplex
  • Type 1 radio frames may be applied to both full duplex and half duplex FDD.
  • a radio frame consists of 10 subframes.
  • One subframe consists of two consecutive slots in the time domain, and subframe i consists of slot 2i and slot 2i + 1.
  • the time taken to transmit one subframe is called a transmission time interval (TTI).
  • TTI transmission time interval
  • one subframe may have a length of 1 ms and one slot may have a length of 0.5 ms.
  • uplink transmission and downlink transmission are distinguished in the frequency domain. While there is no restriction on full-duplex FDD, the terminal cannot simultaneously transmit and receive in half-duplex FDD operation.
  • One slot includes a plurality of orthogonal frequency division multiplexing (OFDM) symbols in the time domain and a plurality of resource blocks (RBs) in the frequency domain. Since 3GPP LTE uses OFDMA in downlink, the OFDM symbol is for representing one symbol period. The OFDM symbol may be referred to as one SC-FDMA symbol or symbol period.
  • a resource block is a resource allocation unit and includes a plurality of consecutive subcarriers in one slot.
  • 4B illustrates a frame structure type 2.
  • an uplink-downlink configuration is a rule indicating whether uplink and downlink are allocated (or reserved) for all subframes.
  • Table 1 shows an uplink-downlink configuration.
  • 'D' represents a subframe for downlink transmission
  • 'U' represents a subframe for uplink transmission
  • 'S' represents a downlink pilot.
  • a special subframe consisting of three fields: a time slot, a guard period (GP), and an uplink pilot time slot (UpPTS).
  • DwPTS is used for initial cell search, synchronization or channel estimation at the terminal.
  • UpPTS is used for channel estimation at the base station and synchronization of uplink transmission of the terminal.
  • GP is a section for removing interference caused in the uplink due to the multipath delay of the downlink signal between the uplink and the downlink.
  • the uplink-downlink configuration can be classified into seven types, and the location and / or number of downlink subframes, special subframes, and uplink subframes are different for each configuration.
  • Table 2 shows the configuration of the special subframe (length of DwPTS / GP / UpPTS).
  • the structure of the radio frame according to the example of FIG. 4 is just one example, and the number of subcarriers included in the radio frame or the number of slots included in the subframe and the number of OFDM symbols included in the slot may vary. Can be.
  • FIG. 5 is a diagram illustrating a resource grid for one downlink slot in a wireless communication system to which the present invention can be applied.
  • one downlink slot includes a plurality of OFDM symbols in the time domain.
  • one downlink slot includes seven OFDM symbols, and one resource block includes 12 subcarriers in a frequency domain, but is not limited thereto.
  • Each element on the resource grid is called a resource element, and one resource block (RB) includes 12 ⁇ 7 resource elements.
  • the number N ⁇ DL of resource blocks included in the downlink slot depends on the downlink transmission bandwidth.
  • the structure of the uplink slot may be the same as the structure of the downlink slot.
  • FIG. 6 shows a structure of a downlink subframe in a wireless communication system to which the present invention can be applied.
  • up to three OFDM symbols in the first slot in a subframe are control regions to which control channels are allocated, and the remaining OFDM symbols are data regions to which PDSCH (Physical Downlink Shared Channel) is allocated. data region).
  • PDSCH Physical Downlink Shared Channel
  • An example of a downlink control channel used in 3GPP LTE includes a physical control format indicator channel (PCFICH), a physical downlink control channel (PDCCH), a physical hybrid-ARQ indicator channel (PHICH), and the like.
  • the PCFICH is transmitted in the first OFDM symbol of a subframe and carries information about the number of OFDM symbols (ie, the size of the control region) used for transmission of control channels within the subframe.
  • the PHICH is a response channel for the uplink and carries an ACK (Acknowledgement) / NACK (Not-Acknowledgement) signal for a hybrid automatic repeat request (HARQ).
  • Control information transmitted through the PDCCH is called downlink control information (DCI).
  • the downlink control information includes uplink resource allocation information, downlink resource allocation information or an uplink transmission (Tx) power control command for a certain terminal group.
  • FIG. 7 shows a structure of an uplink subframe in a wireless communication system to which the present invention can be applied.
  • an uplink subframe may be divided into a control region and a data region in the frequency domain.
  • a physical uplink control channel (PUCCH) carrying uplink control information is allocated to the control region.
  • the data region is allocated a Physical Uplink Shared Channel (PUSCH) that carries user data.
  • PUCCH Physical Uplink Control Channel
  • PUSCH Physical Uplink Shared Channel
  • a PUCCH for one UE is allocated a resource block (RB) pair in a subframe.
  • RBs belonging to the RB pair occupy different subcarriers in each of the two slots.
  • This RB pair allocated to the PUCCH is said to be frequency hopping at the slot boundary (slot boundary).
  • FIG. 8 is a diagram illustrating a self-contained subframe structure in a wireless communication system to which the present invention can be applied.
  • a fifth generation (5G) new RAT considers a self-contained subframe structure as shown in FIG. 5.
  • the hatched area represents a downlink (DL) control area
  • the black portion represents an uplink (UL) control area.
  • the area without the shaded display may be used for DL data transmission or may be used for UL data transmission.
  • the feature of this structure is that DL transmission and UL transmission proceed sequentially in one subframe, DL data can be transmitted in a subframe, and UL ACK / NACK can also be received. As a result, when a data transmission error occurs, the time required for data retransmission is reduced, thereby minimizing latency of final data transmission.
  • a time gap is required for a base station and a UE to switch from a transmission mode to a reception mode or a process of switching from a reception mode to a transmission mode.
  • some OFDM symbols at the time of switching from DL to UL in the self-contained subframe structure are set to a guard period (GP).
  • mmW millimeter wave
  • the wavelength is shortened to allow the installation of multiple antenna elements in the same area. That is, in the 30 GHz band, the wavelength is 1 cm, and a total of 64 (8x8) antenna elements are arranged in a two-dimensional array in a 0.5 lambda (ie, wavelength) interval on a panel of 4 by 4 (4 by 4) cm. Installation is possible. Therefore, in mmW, a plurality of antenna elements are used to increase the beamforming gain (BF) to increase coverage or to increase throughput.
  • BF beamforming gain
  • TXRU Transceiver Unit
  • independent beamforming is possible for each frequency resource.
  • TXRU Transceiver Unit
  • a method of mapping a plurality of antenna elements to one TXRU and adjusting a beam direction with an analog phase shifter is considered.
  • This analog BF method has only one beam direction in the entire band, so there is a disadvantage that frequency selective BF cannot be performed.
  • hybrid beamforming having B TXRUs having a smaller number than Q antenna elements in an intermediate form between digital BF and analog BF may be considered.
  • the direction of beams that can be simultaneously transmitted is limited to B or less.
  • the proposed scheme will be described based on the new RAT (NR) system.
  • NR new RAT
  • the scope of the system to which the proposed method is applied can be extended to other systems such as 3GPP LTE / LTE-A system in addition to the new RAT system.
  • IAB intergrated access and backhaul
  • the expected bandwidth available in NR compared to LTE allows for integrated access and backhaul links.
  • the network may be configured with integrated access and backhaul links. That is, data may be transmitted and received between the relay nodes rTRPs A, B, and C through the backhaul link, and data may be transmitted and received between the relay node and the terminal through an access link.
  • a relay node may multiplex access and backhaul links in time, frequency or space (eg, beam based operation).
  • the operation of the different links may be performed at the same or different frequencies (or 'in-band' or 'out-band' relays). Efficient support of 'out-band' relays is important in some NR scenarios, but the requirements and avoidance of 'in-band' operation, which accommodates dual frequency limitations and implies close interworking with access links operating at the same frequency / Understanding mitigation interference is an important issue.
  • the operation of the NR system in the mmWave spectrum includes severe short-term blocking, which may not be easily mitigated by current RRC-based handover mechanisms because of the larger time-scales required for the completion of the procedure compared to short-term blocking.
  • IAB integrated access and backhaul
  • an object of the present invention is to flexibly schedule terminals having various attributes to accurately and efficiently perform data transmission and reception.
  • additionally installed base stations or relay nodes may increase.
  • connecting all of the increased relay nodes and base stations using wired optical cables has a cost problem. .
  • a problem related to HARQ-ACK / NACK timing may be a representative problem.
  • a relay node based on a relay node, a relay node must transmit and receive to and from its parent node (hereinafter referred to as parent node) and / or child node (hereinafter referred to as child node) as a backhaul link.
  • parent node parent node
  • child node child node
  • the Tx / Rx switching may occur frequently because the UE connected to the UE should transmit / receive via an access link.
  • the relay node Since switching between Tx and Rx takes a certain time, the relay node cannot perform the transmission / reception operation during the switching time, and thus cannot use the allocated resources during the switching operation.
  • the present invention proposes a method for limiting HARQ-ACK / NACK operation of a terminal or allowing a terminal to perform HARQ-ACK / NACK operation only in a specific state or condition so as to efficiently use resources.
  • the entirety of one slot may be set as the backhaul link so that terminals may not transmit HARQ-ACK / NACK in the corresponding slot.
  • relay nodes may not transmit HARQ-ACK / NACK.
  • performance on the access link or overall spectral efficiency may be reduced.
  • HARQ-ACK / NACK transmission is reduced as much as possible in the backhaul link, and a plurality of HARQ-ACK / NACKs are transmitted to one resource through bundling, or HARQ-ACK / NACK transmission is performed. Methods that do not perform may be applied.
  • HARQ-ACK / NACK resources are not scheduled on the other link or HARQ- as a timing issue. In some cases, the ACK / NACK may not be transmitted.
  • the method of controlling the timing of HARQ-ACK / NACK as described below may be applied not only to the backhaul link but also to the access link and / or the IAB node, as well as to the terminal. More specifically, the value representing the timing of HARQ-ACK / NACK may be set in various methods and / or values.
  • HARQ-ACK / NACK is defined by defining a setting method or an interpretation method of a timing field (eg, PDSCH-to-HARQ_feedback timing indicator field) related to HARQ-ACK / NACK timing of downlink control information (DCI).
  • a timing field eg, PDSCH-to-HARQ_feedback timing indicator field
  • DCI downlink control information
  • timing of the HARQ-ACK / NACK may be adjusted by changing the size of the timing field. That is, by increasing the size of the timing field, a time point for transmitting HARQ-ACK / NACK may be variously set.
  • the payload size of the DCI may also increase.
  • legacy terminals may not correctly decode the corresponding information.
  • the HARQ transmission timing can be variously set by differently setting the analysis method without changing the size of the timing field of the DCI and without changing the size of the timing field to reduce the complexity.
  • an analysis method is demonstrated.
  • the terminal may interpret the value set in the timing field in the transmitted DCI in multiples.
  • the set multiple may be indicated through a higher layer, or when the same is applied to all nodes and / or terminals, the multiple may be indicated through common information.
  • a range of candidate values that can be selected as timing of HARQ-ACK / NACK in an upper layer can be extended.
  • the number of candidate values was increased to increase the number of candidate values to 8 out of 32 values or more. Values may be selected and indicated to the terminal through the timing field.
  • HARQ-ACK / NACK timing can be set in various nodes.
  • the HARQ-ACK / NACK timing may be set based on an actual UL slot.
  • the actual uplink slot may refer to a slot in which the IAB is allowed to transmit an uplink to a parent IAB node or donor node.
  • the allowed uplink slot may be assumed to exist as many uplink symbols as the configured HARQ-ACK / NACK transmission resources. If the slot itself is allowed for uplink, but the number of uplink symbols is less than the uplink physical uplink control channel resource, or the slot that the corresponding PUCCH resource can not be transmitted is not considered to be an actual uplink slot. .
  • the corresponding slot may be allowed as an actual uplink slot.
  • HARQ-ACK / NACK may be transmitted in the next actual uplink slot. If resources are insufficient to transmit HARQ-ACK / NACK in the next actual uplink slot, HARQ-ACK / NACK may be transmitted in the first available actual uplink slot.
  • each node may be counted in the HARQ process for all slots marked as uplink (U) according to the set subframe index (SFI). That is, if each node correctly decodes the SFI, the node may count the HARQ process regardless of whether uplink resources of the corresponding slot are configured (or allocated) to the node.
  • SFI subframe index
  • timing of HARQ-ACK / NACK is set by assuming only information according to semi-static DL / UL configuration.
  • the terminal may not count the corresponding slot in the HARQ process.
  • the relay node may inform the UE that the corresponding slot is used as the backhaul link or define a new SFI format for this to display the symbol used as the backhaul link and transmit the same to the UE.
  • the terminal may recognize a symbol used as a backhaul link through the information transmitted from the relay node, and may not transmit HARQ-ACK / NACK in the symbol used as the backhaul link.
  • the relay nodes may not count the corresponding slot in the HARQ process.
  • the terminal may not count the corresponding slot in the HARQ process.
  • the HARQ-polling method may be used in the HARQ process. That is, the terminal does not transmit the HARQ-ACK / NACK until the HARQ-ACK / NACK request is received from the relay node, and stores the HARQ-ACK / NACK.
  • the terminal may transmit the stored HARQ-ACK / NACK together.
  • a special entry may be set for terminals after a specific version (eg, 3GPP Release 16 and later releases).
  • a specific version eg, 3GPP Release 16 and later releases.
  • an operation related to HARQ-ACK / NACK transmission of a UE is defined according to a specific state, and a timing field (eg, PDSCH-to-HARQ_feedback timing indicator) related to timing of HARQ-ACK / NACK in downlink control information Including the specific state defined in the field) and transmit to the terminal.
  • a timing field eg, PDSCH-to-HARQ_feedback timing indicator
  • the terminal may receive the DCI and perform a specific operation related to HARQ-ACK / NACK according to the state information included in the timing field of the DCI.
  • the UE may be defined as transmitting HARQ-ACK / NACK to the first available resource among the configured uplink resources.
  • the UE when the UE receives the DCI in which 3 bits of the timing field is set to “000”, the UE performs HARQ-ACK / NACK for the PDSCH transmitted from the relay node in the first available resource among the uplink resources allocated thereto. Can transmit
  • the terminal may skip or drop the HARQ-ACK / NACK of the PDSCH transmitted from the relay node or delay transmission of the HARQ-ACK / NACK according to the configured state information.
  • This particular state may be set in common to the terminals, or may be set individually for each terminal.
  • UEs may transmit HARQ-ACK / NACK in the first available uplink resource among all allocated resources.
  • the terminals may perform the same or different operations according to the set specific state.
  • the UE may selectively transmit ACK / NACK for the PDSCH by setting a high BLER target of the PDSCH. That is, when the terminal receives a modulation coding scheme (MCS) through the DCI and applies the received MCS value, the terminal transmits HARQ-ACK / NACK for the scheduled data when the channel quality is equal to or greater than a predetermined threshold value.
  • MCS modulation coding scheme
  • a specific condition related to the operation of the HARQ-ACK / NACK of the terminal is set, and if the terminal satisfies the specific condition, it may perform the set operation.
  • the terminal may be configured not to transmit HARQ-ACK / NACK. That is, a minimum value of channel quality for determining whether to transmit the HARQ-ACK / NACK signal may be set as a threshold.
  • the network or relay node may receive a HARQ-ACK / NACK from the terminal because the network (or relay node) may determine that the transmitted data is likely to be successfully transmitted to the terminal without error if the channel quality is higher than the threshold. If not, it can be recognized that the data was successfully transmitted to the terminal.
  • the terminal measures the channel and the channel quality is greater than or equal to the threshold value, it is not necessary to transmit the Ack / Nack signal for the data transmitted to the network.
  • the terminal may not transmit the HARQ-ACK / NACK for the received PDSCH to the relay node.
  • the UE when the UE measures the channel and transmits data using the MCS acquired through the DCI in the measured channel state, it can be determined that an error rate is less than a predetermined value, the corresponding data is also stored in the network side. Since it may be determined that the UE has been successfully transmitted to the UE, it may not request transmission of the HARQ-ACK / NACK from the UE.
  • the network may set a condition not to transmit the HARQ-ACK / NACK signal. That is, a threshold value for not having to transmit a HARQ-ACK / NACK signal may be set for each MCS. This threshold may be set in common to the terminals in fluid, or may be set individually for the terminal, or may be set in advance.
  • the UE After receiving the set threshold, the UE measures its channel quality and compares the measured channel quality with a threshold corresponding to the MCS value obtained through DCI to determine whether to transmit the HARQ-ACK / NACK signal. Can be.
  • the terminal may not transmit the ACK / NACK signal because the network can recognize that the data was successfully transmitted even without the transmission of the ACK / NACK signal.
  • the network may request the UE to transmit the HARQ-ACK / NACK signal because the network may not be sure whether the transmitted data has been successfully received by the UE.
  • An ACK / NACK signal may be transmitted.
  • one relay node performs data transmission and reception with its parent or child node through a backhaul link, and performs data transmission and reception with terminals connected to it. Accordingly, the relay node may frequently switch Tx / Rx dynamically through the backhaul link and the access link. Accordingly, the relay node may not use the resources allocated to the relay node during the switching time, thereby reducing the resource utilization efficiency. Therefore, in order to solve this problem, a method of reducing the frequency of Tx / RX switching of a relay node is proposed.
  • FIGS. 10 and 11 are diagrams showing an example of a scheduling method according to an embodiment of the present invention.
  • a semi persistence scheduling (SPS) PUSCH may be used.
  • SPS semi persistence scheduling
  • FIG. 10 (a) shows an example of general PUSCH transmission.
  • the child node receives the UL grant from the parent node in downlink, performs the switching from the downlink to the uplink, and then transmits the PUSCH in the uplink.
  • the child node again performs switching from uplink to downlink, receives a UL grant, repeatedly switches from downlink to uplink, and transmits a PUSCH to uplink.
  • the present invention proposes data transmission through the SPS PUSCH.
  • the SPS PUSCH transmission refers to a scheme in which a UE transmits a PUSCH through periodically allocated resources without receiving an additional UL grant after the UE is allocated a resource through a UL grant.
  • the method described may be applied to the description of the SPS PUSCH transmission between the parent node and the child node, or in the case of the SPS PUSCH transmission between the node and the terminal.
  • a child node When performing PUSCH transmission using SPS, a child node does not receive a PDCCH for UL grant from a parent node between PUSCH and PUSCH transmission. That is, when the child node receives the UL grnat triggering the SPS PUSCH from the parent node, as shown in FIG. 10 (b), the child node may transmit the PUSCH to resources allocated to the parent node afterwards. The PDCCH transmitted from the parent node may not be monitored.
  • the child node may monitor the PDCCH periodically from the parent node to know the position for ending the periodic PUSCH transmission through the SPS operation, the monitoring period at this time is more than the monitoring period of PDCHCH for the reception of the general UL grant long.
  • the parent node may transmit time information related to the termination time to the UL grant for triggering the SPS PUSCH to notify the child node of the periodic PUSCH transmission through the SPS operation to the terminal.
  • the time information may be a time indicating the length or end time of the time interval in which the SPS PUSCH transmission is performed.
  • information for notifying when the SPS PUSCH transmission is terminated may be set to the child node through RRC or the like.
  • the parent node since the parent node does not have to transmit the UL grant every time between PUSCH transmissions of the child nodes, the corresponding resource can be used through the following method.
  • the resource corresponding to (A) of FIG. 10 (b) may be used for data transmission and reception with other nodes and / or terminals.
  • the resource corresponding to (B) of FIG. 10 (b) may be used for data transmission and reception with other nodes and / or terminals.
  • the parent node may maintain the uplink state without switching to the downlink even in the section (A).
  • the child node may perform uplink transmission to the parent node in a gap period (flexible period) that has been set in consideration of the conventional downlink to uplink switching and propagation delay.
  • an uplink interval that can be used by a child node may increase as in section (C) of FIG. 11 (a). Accordingly, as shown in FIG. 11A, the child b hem may perform PUSCH transmission to the parent node using the increased uplink resource.
  • the child node may additionally use the (C) resource region for PUSCH transmission in addition to the PUSCH resource set from the parent node, and whether or not to use the (C) resource region as a resource for additional PUSCH transmission is scheduled for the SPS PUSCH. It can be set through the UL grant or RRC.
  • the data can be periodically transmitted to the parent node through the SPS resource without receiving a UL Grant from the parent node downlink.
  • the child node since the child node does not have to perform UL-DL switching in a section in which no UL Grant is received from the parent node, when the SPS PUSCH is not used, the child node may transmit and receive data using the resources in the section in which the UL Grant has been received. Can be.
  • the child node since the child node does not need to receive the downlink in the section (A) shown in FIG.
  • the state of can be maintained.
  • the child node actually performs downlink transmission to its child node or terminal in a gap period (flexible period) set in consideration of switching from downlink to uplink or switching from uplink to downlink and propagation delay. can do.
  • the section in which the child node is in the Tx state may increase by the section (c) shown in FIG. Can be transferred.
  • the child node may use the resource region of section (c) from the parent node for downlink transmission to another node (for example, its own child node) or the terminal.
  • Whether to use the additionally available (C) resource as a resource for downlink transmission to another node or terminal may be configured through UL grant or RRC scheduling the SPS PUSCH.
  • the UL grant or the RRC signaling may include indication information related to whether the section (C) of FIG. 11 (b) is used as a resource for downlink transmission.
  • the child node In order to perform downlink transmission in the interval (c), the child node changes the slot format that the downlink transmission is performed in the interval (c), or provides information related to the downlink transmission in the corresponding region by using DCI or RRC. Can be set through
  • the child node can perform PUSCH transmission without receiving the UL grant from the parent node every time through all or some of the methods described in the methods 1 to 3, and down by not receiving the UL grant every time. Whether additional resources may be used for link transmission may be set from the parent node to DCI and / or RRC.
  • a child node maintains an Rx state and receives a signal from another node or terminal in a resource area that is monitoring the PDCCH, and / or whether the child node maintains a Tx state and transmits a signal to another node or terminal. Whether or not can be set.
  • the following method can be used for such a method.
  • Dynamic indication of HARQ processes used for a IAB node (UL or DL or DL / UL): Dynamically sets the number of HARQ processes to prevent unnecessary control channel monitoring.
  • Dynamic PDCCH monitoring periodicity PDCCH monitoring cycle can be transmitted in each control channel, or the period can be increased or decreased depending on whether IAB node is transmitted. Typically, if control is transmitted according to the additional increase multiplied decrease method, the period may be reduced linearly, and if the control does not come, the period may increase exponentially.
  • FIG. 12 is a diagram illustrating an example of a terminal operation according to an exemplary embodiment.
  • the terminal may perform a specific operation related to HARQ-ACK / NACK in a specific state or a specific condition.
  • the terminal receives control information from the relay node (S12010).
  • the control information may be a DCI or RRC signal, and may include state information related to a specific operation of HARQ ACK / NACK for the downlink data described above or a threshold value related to a specific condition related to transmission of HARQ ACK / NACK. .
  • the terminal may receive downlink data from the relay node (S12020) and perform a specific operation related to the transmission of the ACK / NACK signal for the downlink data based on state information or the threshold value (S12020). .
  • the specific operation may mean an operation of transmitting the ACK / NACK for the downlink data described above on the first available resource or skipping or dropping the ACK / NACK without transmitting the ACK / NACK.
  • the threshold value may be a minimum value of channel quality for determining whether to transmit an ACK / NACK signal for downlink data.
  • the above-described operation of the terminal may be specifically implemented by the terminal devices 1420 and 1520 shown in FIGS. 14 and 15 of the present specification.
  • the above-described operation of the terminal may be performed by the processors 1421 and 1521 and / or the RF unit (or module) 1423 and 1525.
  • the processors 1421 and 1521 may control the terminal to receive control information from the relay node through the RF units (or modules) 1423 and 1525.
  • the control information may be a DCI or RRC signal, and may include state information related to a specific operation of HARQ ACK / NACK for the downlink data described above or a threshold value related to a specific condition related to transmission of HARQ ACK / NACK. .
  • the processors 1421 and 1521 receive downlink data from the relay node through the RF unit (or module) 1423 and 1525, and ACK / NACK for the downlink data based on state information or the threshold value.
  • the terminal may be controlled to perform a specific operation related to the transmission of the signal.
  • the specific operation may mean an operation of transmitting the Ack for the downlink data described above on the first available resource or skipping or dropping the ACK without transmitting ACK / NACK.
  • the threshold value may be a minimum value of channel quality for determining whether to transmit an ACK / NACK signal for downlink data.
  • FIG. 13 is a diagram illustrating an example of a relay node operation according to an embodiment of the present invention.
  • a relay node may receive an ACK / NACK signal for downlink data from a terminal according to whether a specific state or a specific condition of the terminal is satisfied.
  • the relay node transmits control information to the terminal (S13010).
  • the control information may be a DCI or RRC signal, and may include state information related to a specific operation of HARQ ACK / NACK for the downlink data described above or a threshold value related to a specific condition related to transmission of HARQ ACK / NACK. .
  • the relay node may transmit downlink data to the terminal based on the DCI (S13020), and may receive an ACK / NACK signal for the downlink data from the terminal based on the status information or the threshold value (S13030).
  • the UE may perform a specific operation related to the ACK / NACK signal of the downlink data based on the state information or the threshold value, and the specific operation may be the first resource that can use the ACK / NACK for the downlink data described above. This may refer to an operation of skipping or dropping without transmitting ACK or ACK / NACK.
  • the threshold value may be a minimum value of channel quality for determining whether to transmit the ACK / NACK signal for the downlink data.
  • the above-described operation of the base station may be specifically implemented by the base station apparatuses 1410 and 1510 shown in FIGS. 14 and 15 of the present specification.
  • the above-described operation of the terminal may be performed by the processors 1411 and 1511 and / or the RF unit (or module) 1413 and 1515.
  • the processor 1411 or 1511 may control the relay node to transmit control information to the terminal through the RF unit (or module) 1413 or 1515.
  • the control information may be a DCI or RRC signal, and may include state information related to a specific operation of HARQ ACK / NACK for the downlink data described above or a threshold value related to a specific condition related to transmission of HARQ Ack / Nack. .
  • the processor 1411 or 1511 transmits downlink data to the terminal through the RF unit (or module) 1413 and 1515, and provides an ACK / NACK signal for the downlink data based on the state information or the threshold value. Can be received from the terminal.
  • the UE may perform a specific operation related to the ACK / NACK signal of the downlink data based on the state information or the threshold value, and the specific operation may be the first resource that can use the ACK / NACK for the downlink data described above. This may refer to an operation of skipping or dropping without transmitting ACK or ACK / NACK.
  • the threshold value may be a minimum value of channel quality for determining whether to transmit the ACK / NACK signal for the downlink data.
  • FIG. 14 illustrates a block diagram of a wireless communication device to which the methods proposed herein can be applied.
  • a wireless communication system includes a base station 1410 and a plurality of terminals 1420 located in a base station area.
  • the base station and the terminal may each be represented by a wireless device.
  • the base station 1410 and the terminal 1420 may be referred to as a first device or a second device.
  • the first device includes a base station, a network node, a transmitting terminal, a receiving terminal, a wireless device, a wireless communication device, a vehicle, a vehicle equipped with an autonomous driving function, a connected car, an unmanned aerial vehicle (UAV), and an AI.
  • AI Artificial Intelligence
  • robots Augmented Reality (AR) devices, Virtual Reality (VR) devices, Mixed Reality (MR) devices, hologram devices, public safety devices, MTC devices, IoT devices, medical devices, fintech devices (or Financial devices), security devices, climate / environment devices, devices associated with 5G services, or other devices related to the fourth industrial revolution field.
  • AR Augmented Reality
  • VR Virtual Reality
  • MR Mixed Reality
  • hologram devices public safety devices
  • MTC devices IoT devices
  • medical devices fintech devices (or Financial devices)
  • security devices climate / environment devices, devices associated with 5G services, or other devices related to the fourth industrial revolution field.
  • the second device includes a base station, a network node, a transmitting terminal, a receiving terminal, a wireless device, a wireless communication device, a vehicle, a vehicle equipped with an autonomous driving function, a connected car, a drone (Unmanned Aerial Vehicle, UAV), Artificial Intelligence (AI) modules, robots, Augmented Reality (AR) devices, Virtual Reality (VR) devices, Mixed Reality (MR) devices, hologram devices, public safety devices, MTC devices, IoT devices, medical devices, fintech devices ( Or financial devices), security devices, climate / environment devices, devices related to 5G services, or other devices related to the fourth industrial revolution field.
  • UAV Unmanned Aerial Vehicle
  • AI Artificial Intelligence
  • AR Augmented Reality
  • VR Virtual Reality
  • MR Mixed Reality
  • hologram devices public safety devices
  • MTC devices IoT devices
  • medical devices fintech devices ( Or financial devices)
  • security devices climate / environment devices, devices related to 5G services, or other devices related to the fourth industrial revolution field.
  • the terminal may be a mobile phone, a smart phone, a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), navigation, a slate PC, a tablet. It may include a tablet PC, an ultrabook, a wearable device (eg, a smartwatch, a glass glass, a head mounted display), and the like.
  • the HMD may be a display device worn on the head.
  • the HMD can be used to implement VR, AR or MR.
  • a drone may be a vehicle in which humans fly by radio control signals.
  • the VR device may include a device that implements an object or a background of a virtual world.
  • the AR device may include a device that connects and implements an object or a background of the virtual world to an object or a background of the real world.
  • the MR device may include a device that fuses and implements an object or a background of the virtual world to an object or a background of the real world.
  • the hologram device may include a device that records and reproduces stereoscopic information to implement a 360 degree stereoscopic image by utilizing interference of light generated by two laser lights, called holography, to meet each other.
  • the public safety device may include an image relay device or an image device wearable on a human body of a user.
  • the MTC device and the IoT device may be devices that do not require direct human intervention or manipulation.
  • the MTC device and the IoT device may include a smart meter, a bending machine, a thermometer, a smart bulb, a door lock or various sensors.
  • a medical device may be a device used for the purpose of diagnosing, treating, alleviating, treating or preventing a disease.
  • a medical device may be a device used for the purpose of diagnosing, treating, alleviating or correcting an injury or disorder.
  • a medical device may be a device used for the purpose of inspecting, replacing, or modifying a structure or function.
  • the medical device may be a device used for controlling pregnancy.
  • the medical device may include a medical device, a surgical device, an (extracorporeal) diagnostic device, a hearing aid or a surgical device, and the like.
  • the security device may be a device installed to prevent a risk that may occur and to maintain safety.
  • the security device may be a camera, a CCTV, a recorder or a black box.
  • the fintech device may be a device capable of providing financial services such as mobile payment.
  • the fintech device may include a payment device or a point of sales (POS).
  • the climate / environmental device may include a device that monitors or predicts the climate / environment.
  • the base station 1410 includes a processor 1411, a memory 1412, and an RF module 1413.
  • the processor 1411 implements the functions, processes, and / or methods proposed in FIGS. 1 to 13. Layers of the air interface protocol may be implemented by a processor.
  • the memory is connected to the processor and stores various information for driving the processor.
  • the RF module is coupled to the processor to transmit and / or receive radio signals.
  • the terminal includes a processor 1421, a memory 1422, and an RF module 1423.
  • the processor implements the functions, processes and / or methods proposed in FIGS. 1 to 13. Layers of the air interface protocol may be implemented by a processor.
  • the memory is connected to the processor and stores various information for driving the processor.
  • the RF module 1423 is connected with a processor to transmit and / or receive a radio signal.
  • the memories 1412 and 1422 may be inside or outside the processors 1411 and 1421 and may be connected to the processor by various well-known means.
  • the base station and / or the terminal may have a single antenna or multiple antennas.
  • 15 is another example of a block diagram of a wireless communication device to which the methods proposed herein may be applied.
  • a wireless communication system includes a base station 1510 and a plurality of terminals 1520 located in a base station area.
  • the base station may be represented by a transmitting device, the terminal may be represented by a receiving device, and vice versa.
  • a base station and a terminal may include a processor (processors, 1511, 1521), a memory (memory, 1514, 1524), one or more Tx / Rx RF modules (radio frequency modules, 1515, 1525), Tx processors (1512, 1522), and Rx processors ( 1513 and 1523 and antennas 1516 and 1526.
  • the processor implements the salping functions, processes and / or methods above.
  • the processor 1511 implements the functionality of the L2 layer.
  • the processor provides the terminal 1520 with multiplexing and radio resource allocation between the logical channel and the transport channel, and is responsible for signaling to the terminal.
  • the transmit (TX) processor 1512 implements various signal processing functions for the L1 layer (ie, the physical layer).
  • the signal processing function facilitates forward error correction (FEC) in the terminal and includes coding and interleaving.
  • FEC forward error correction
  • the encoded and modulated symbols are divided into parallel streams, each stream mapped to an OFDM subcarrier, multiplexed with a reference signal (RS) in the time and / or frequency domain, and using an Inverse Fast Fourier Transform (IFFT).
  • RS reference signal
  • IFFT Inverse Fast Fourier Transform
  • the OFDM stream is spatially precoded to produce multiple spatial streams.
  • Each spatial stream may be provided to different antennas 1516 through separate Tx / Rx modules (or transceivers 1515).
  • Each Tx / Rx module can modulate an RF carrier with each spatial stream for transmission.
  • each Tx / Rx module (or transceiver 1525) receives a signal through each antenna 1526 of each Tx / Rx module.
  • Each Tx / Rx module recovers information modulated onto an RF carrier and provides it to a receive (RX) processor 1523.
  • the RX processor implements the various signal processing functions of layer 1.
  • the RX processor may perform spatial processing on the information to recover any spatial stream destined for the terminal. If multiple spatial streams are directed to the terminal, they may be combined into a single OFDMA symbol stream by multiple RX processors.
  • the RX processor uses fast Fourier transform (FFT) to convert the OFDMA symbol stream from the time domain to the frequency domain.
  • the frequency domain signal includes a separate OFDMA symbol stream for each subcarrier of the OFDM signal.
  • the symbols and reference signal on each subcarrier are recovered and demodulated by determining the most likely signal placement points sent by the base station. Such soft decisions may be based on channel estimate values. Soft decisions are decoded and deinterleaved to recover the data and control signals originally transmitted by the base station on the physical channel.
  • the data and control signals are provided to the processor 1521.
  • the UL (communication from terminal to base station) is processed at base station 1510 in a manner similar to that described with respect to receiver functionality at terminal 1520.
  • Each Tx / Rx module 1525 receives a signal through each antenna 1526.
  • Each Tx / Rx module provides an RF carrier and information to the RX processor 1523.
  • the processor 1521 may be associated with a memory 1524 that stores program code and data.
  • the memory may be referred to as a computer readable medium.
  • the wireless device includes a base station, a network node, a transmitting terminal, a receiving terminal, a wireless device, a wireless communication device, a vehicle, a vehicle equipped with an autonomous driving function, an unmanned aerial vehicle (UAV), an artificial intelligence (AI) module, Robots, Augmented Reality (AR) devices, Virtual Reality (VR) devices, MTC devices, IoT devices, medical devices, fintech devices (or financial devices), security devices, climate / environmental devices, or other areas of the fourth industrial revolution, or It may be a device related to the 5G service.
  • a drone may be a vehicle in which humans fly by radio control signals.
  • 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.
  • a medical device is a device used to examine, replace, or modify a device, structure, or function used for diagnosing, treating, alleviating, treating, or preventing a disease, such as a medical device, a surgical device, ( In vitro) diagnostic devices, hearing aids, surgical devices, and the like.
  • 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.
  • 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).
  • the climate / environmental device may mean a device for monitoring and predicting the climate / environment.
  • the terminal is a mobile phone, a smart phone, a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), navigation, a slate PC, a tablet PC. (tablet PC), ultrabook, wearable device (e.g. smartwatch, glass glass, head mounted display), foldable device And the like.
  • the HMD is a display device of a type worn on the head and may be used to implement VR or AR.
  • Embodiments according to the present invention may be implemented by various means, for example, hardware, firmware, software, or a combination thereof.
  • 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), and FPGAs ( field programmable gate arrays), processors, controllers, microcontrollers, microprocessors, and the like.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGAs field programmable gate arrays
  • 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 memory and driven by the processor.
  • the memory may be located inside or outside the processor, and may exchange data with the processor by various known means.
  • the method of transmitting and receiving data in the wireless communication system of the present invention has been described with reference to the example applied to the 3GPP LTE / LTE-A system and 5G, but can be applied to various wireless communication systems.

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention concerne un procédé, mis en œuvre par un terminal, d'émission et de réception de données dans un système de communication sans fil et un appareil associé. Le terminal reçoit des informations de commande provenant d'un nœud de relais, les informations de commande pouvant comprendre des informations d'état relatives à une opération spécifique d'accusé de réception (ACK) / accusé de réception négatif (NACK) de demande de répétition automatique hybride (HARQ) pour des données de liaison descendante ou à une valeur de seuil relative à une condition spécifique relative à l'émission de l'ACK/NACK de HARQ. Par la suite, le terminal peut recevoir les données de liaison descendante provenant du nœud de relais et effectuer une opération spécifique relative à l'émission d'un signal ACK/NACK pour les données de liaison descendante sur la base des informations d'état ou de la valeur de seuil des informations de commande.
PCT/KR2019/008406 2018-07-12 2019-07-09 Procédé d'émission et de réception de données dans un système de communication sans fil et appareil associé WO2020013561A1 (fr)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113452474A (zh) * 2020-03-27 2021-09-28 华为技术有限公司 扩展现实数据传输方法及装置
CN113640765A (zh) * 2021-08-09 2021-11-12 刘天健 基于通信基站的雷达探测方法、物体定位方法和基站
WO2022086263A1 (fr) * 2020-10-22 2022-04-28 엘지전자 주식회사 Procédé, équipement d'utilisateur, dispositif de traitement, support de stockage et programme informatique pour la réception d'un canal de liaison descendante, et procédé et station de base pour la transmission d'un canal de liaison descendante

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015012655A1 (fr) * 2013-07-25 2015-01-29 Lg Electronics Inc. Procédé et appareil de communication sans fil
WO2016021957A1 (fr) * 2014-08-06 2016-02-11 엘지전자 주식회사 Procédé de rétroaction d'acquittement/non-acquittement et équipement utilisateur
WO2017196067A1 (fr) * 2016-05-10 2017-11-16 엘지전자 주식회사 Procédé de réception de données dans un système de communication sans fil, et appareil associé

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015012655A1 (fr) * 2013-07-25 2015-01-29 Lg Electronics Inc. Procédé et appareil de communication sans fil
WO2016021957A1 (fr) * 2014-08-06 2016-02-11 엘지전자 주식회사 Procédé de rétroaction d'acquittement/non-acquittement et équipement utilisateur
WO2017196067A1 (fr) * 2016-05-10 2017-11-16 엘지전자 주식회사 Procédé de réception de données dans un système de communication sans fil, et appareil associé

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ERICSSON: "Discarding configured grants and assignments when receiving RRC reconfiguration of SPS-Config", R2-1808159, 3GPP TSG-RAN WG2 #102, 10 May 2018 (2018-05-10), XP051503514 *
ERICSSON: "Grant Free and Semi-Persistent Scheduling in NR", R2-1708350, 3GPP TSG-RAN WG2 #99, 11 August 2017 (2017-08-11), XP051318231 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113452474A (zh) * 2020-03-27 2021-09-28 华为技术有限公司 扩展现实数据传输方法及装置
CN113452474B (zh) * 2020-03-27 2022-12-02 华为技术有限公司 扩展现实数据传输方法及装置
WO2022086263A1 (fr) * 2020-10-22 2022-04-28 엘지전자 주식회사 Procédé, équipement d'utilisateur, dispositif de traitement, support de stockage et programme informatique pour la réception d'un canal de liaison descendante, et procédé et station de base pour la transmission d'un canal de liaison descendante
CN113640765A (zh) * 2021-08-09 2021-11-12 刘天健 基于通信基站的雷达探测方法、物体定位方法和基站
CN113640765B (zh) * 2021-08-09 2023-11-14 刘天健 基于通信基站的雷达探测方法、物体定位方法和基站

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