Method and apparatus for utilizing off-board computing resource

Abstract

A method by which a first device performs wireless communication, and an apparatus supporting same are provided. The method may comprise the steps of: transmitting, to a second device, information requesting offloading; and receiving, from the second device, information related to computing resources allocated to the first device. For example, the information requesting the offloading can include information related to an available computing resource of the first device and information related to a required computing resource based on information related to driving of the first device.

Description

Method and device for utilizing off-board computing resources

[0001] The present disclosure relates to a wireless communication system.

[0002] 5G NR is a successor technology to LTE (long term evolution) and is a new clean-slate type mobile communication system with characteristics such as high performance, low latency, and high availability. 5G NR can utilize all available spectrum resources, ranging from low frequency bands below 1 GHz to mid-frequency bands from 1 GHz to 10 GHz, and high frequency (millimeter wave) bands above 24 GHz.

[0003] The 6G (wireless communication) system aims for (i) very high data rates per device, (ii) a very large number of connected devices, (iii) global connectivity, (iv) very low latency, (v) reduced energy consumption of battery-free IoT (internet of things) devices, (vi) ultra-reliable connectivity, and (vii) connected intelligence with machine learning capabilities. The vision of the 6G system can be in four aspects: intelligent connectivity, deep connectivity, holographic connectivity, and ubiquitous connectivity, and the 6G system can satisfy requirements such as those shown in Table 1 below. For example, Table 1 may represent an example of the requirements for a 6G system.

[0004] Per device peak data rate 1 Tbps E2E latency 1 ms Maximum spectral efficiency 100 bps / Hz Mobility support up to 1000 km / hr Satellite integration Fully AI Fully Autonomous vehicle Fully XR Fully Haptic communication Fully

[0005] In one embodiment, a method is provided in which a first device performs wireless communication. The method may include the step of transmitting information requesting offloading to a second device; and the step of receiving information related to computing resources allocated to the first device from the second device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

[0006] In one embodiment, a first device configured to perform wireless communication is provided. The first device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, based on the instructions being executed by the at least one processor, the first device may: transmit information requesting offloading to a second device; and receive information related to computing resources allocated to the first device from the second device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the operation of the first device.

[0007] In one embodiment, a processing device configured to control a first device is provided. The processing device comprises at least one processor; and at least one memory connected to the at least one processor and storing instructions, wherein the instructions, based on execution by the at least one processor, cause the first device to: transmit information requesting offloading to a second device; and receive information related to computing resources allocated to the first device from the second device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the operation of the first device.

[0008] In one embodiment, a non-transient computer-readable storage medium is provided for recording instructions. When executed, the instructions may cause a first device to: transmit information requesting offloading to a second device; and receive from the second device information regarding computing resources allocated to the first device. For example, the information requesting offloading may include information regarding available computing resources of the first device and information regarding required computing resources based on information regarding the operation of the first device.

[0009] FIG. 1 illustrates a communication procedure between devices according to one embodiment of the present disclosure.

[0010] FIG. 2 shows a radio protocol architecture according to one embodiment of the present disclosure.

[0011] FIG. 3 shows a communication structure that can be provided in a 6G system according to one embodiment of the present disclosure.

[0012] FIG. 4 illustrates an offloading method for a vehicle with a planned route including urban roads and power roads, according to one embodiment of the present disclosure.

[0013] FIG. 5 shows a flowchart of an onboard operation upon an offboard operation or offloading request according to one embodiment of the present disclosure.

[0014] FIG. 6 shows a flowchart of an off-board operation when an off-board operation or offloading request is made, according to one embodiment of the present disclosure.

[0015] FIG. 7 illustrates a method in which a first device performs wireless communication according to one embodiment of the present disclosure.

[0016] FIG. 8 illustrates a method in which a second device performs wireless communication according to one embodiment of the present disclosure.

[0017] FIG. 9 shows a communication system (1) according to one embodiment of the present disclosure.

[0018] FIG. 10 shows a wireless device according to one embodiment of the present disclosure.

[0019] FIG. 11 shows a signal processing circuit for a transmission signal according to one embodiment of the present disclosure.

[0020] FIG. 12 shows a wireless device according to one embodiment of the present disclosure.

[0021] FIG. 13 shows a portable device according to one embodiment of the present disclosure.

[0022] FIG. 14 shows a vehicle or an autonomous vehicle according to one embodiment of the present disclosure.

[0023] In the present disclosure, "A or B" may mean "only A," "only B," or "both A and B." Alternatively, in the present disclosure, "A or B" may be interpreted as "A and / or B." For example, in the present disclosure, "A, B or C" may mean "only A," "only B," "only C," or "any combination of A, B and C."

[0024] A slash ( / ) or a comma used in the present disclosure may mean "and / or." For example, "A / B" may mean "A and / or B." Accordingly, "A / B" may mean "only A," "only B," or "both A and B." For example, "A, B, C" may mean "A, B or C."

[0025] In the present disclosure, "at least one of A and B" may mean "only A," "only B," or "both A and B." Additionally, in the present disclosure, the expressions "at least one of A or B" or "at least one of A and / or B" may be interpreted as synonymous with "at least one of A and B."

[0026] Additionally, in the present disclosure, "at least one of A, B and C" may mean "only A," "only B," "only C," or "any combination of A, B and C." Additionally, "at least one of A, B or C" or "at least one of A, B and / or C" may mean "at least one of A, B and C."

[0027] Additionally, parentheses used in the present disclosure may mean "for example." Specifically, when indicated as "control information (PDCCH)," "PDCCH" may be proposed as an example of "control information." In other words, the "control information" of the present disclosure is not limited to "PDCCH," and "PDCCH" may be proposed as an example of "control information." Furthermore, even when indicated as "control information (i.e., PDCCH)," "PDCCH" may be proposed as an example of "control information."

[0028] In the following explanation, 'when, if, in case of' can be replaced with 'based on'.

[0029] Technical features described individually within one drawing in this disclosure may be implemented individually or simultaneously.

[0030] In the present disclosure, a higher layer parameter may be a parameter that is set for the terminal, pre-set, or pre-defined. For example, a base station or a network may transmit the higher layer parameter to the terminal. For example, the higher layer parameter may be transmitted via radio resource control (RRC) signaling or medium access control (MAC) signaling.

[0031] In the present disclosure, "configured or defined" may be interpreted as being configured or pre-configured to a device through pre-defined signaling (e.g., SIB, MAC, RRC) from a base station or network. In the present disclosure, "configured or defined" may be interpreted as being pre-configured to a device. In the present disclosure, "configured or defined" may be interpreted as being configured or pre-configured to a device through pre-defined signaling (e.g., MAC, RRC, SCI (sidelink control information), device-to-device signaled control information, etc.) from another device. In the present disclosure, "configured or defined" may be interpreted as being pre-configured to a device.

[0032] In the present disclosure, user equipment (UE) may refer to a device, a portable device, a wireless device, etc. In the present disclosure, a base station (BS) may refer to a radio access network (RAN) node, a non-terrestrial network (NTN) cell / node, a transmission reception point (TRP), a network, an integrated access and backhaul (IAB) node, a device, a portable device, a wireless device, etc.

[0033] The technology proposed in this disclosure can be used in various wireless communication systems such as CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), and SC-FDMA (single carrier frequency division multiple access). CDMA can be implemented with wireless technologies such as UTRA (universal terrestrial radio access) or CDMA2000. TDMA can be implemented with wireless technologies such as GSM (global system for mobile communications) / GPRS (general packet radio service) / EDGE (enhanced data rates for GSM evolution). OFDMA can be implemented with wireless technologies such as IEEE (institute of electrical and electronics engineers) 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802-20, E-UTRA (evolved UTRA), LTE (long term evolution), and 5G NR.

[0034] The technology proposed in this disclosure can be implemented as 6G wireless technology and can be applied to various 6G systems. For example, 6G systems may have key factors such as eMBB (enhanced mobile broadband), URLLC (ultra-reliable low latency communications), mMTC (massive machine-type communication), AI (artificial intelligence) integrated communication, tactile internet, high throughput, high network capacity, high energy efficiency, low backhaul and access network congestion, and enhanced data security.

[0035] FIG. 1 illustrates a communication procedure between devices according to one embodiment of the present disclosure. The embodiment of FIG. 1 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0036] Referring to FIG. 1, in step S101, the first device and the second device can perform synchronization. For example, the first device may be a terminal and / or at least one of the devices proposed in the present disclosure. For example, the second device may be a base station, a network, a RAN node, an NTN node / cell, a TRP, a terminal and / or at least one of the devices proposed in the present disclosure. For example, the first device may perform an initial cell search operation. For example, the first device may detect at least one synchronization signal transmitted according to a rule predefined by the second device. Here, for example, the synchronization signal may include a plurality of synchronization signals (e.g., primary synchronization signal, secondary synchronization signal, etc.) classified according to structure or use. Through this, the first device can identify the boundaries of the frame, subframe, time unit, slot, and / or symbol of the second device, and the first device can obtain information about the second device (e.g., cell identifier).

[0037] In step S103, the first device may obtain system information transmitted by the second device. For example, the system information may include information related to the attributes, characteristics, and / or capabilities of the second device that are necessary to connect to the second device and use the service. For example, the system information may be classified according to content (e.g., whether it is essential for connection), transmission structure (e.g., the channel used, whether it is provided on-demand), etc. For example, the system information may be classified into a master information block (MIB) and a system information block (SIB). For example, if necessary, the first device may transmit a signal requesting the system information prior to receiving the system information. For example, the request and provision of the system information may be performed after a random access procedure described later.

[0038] In step S105, the first device and the second device may perform a random access procedure. For example, the first device may transmit and / or receive at least one message for the random access procedure (e.g., random access preamble, random access response message, etc.) based on information related to the random access channel of the second device obtained through system information (e.g., channel location, channel structure, structure of supported preamble, etc.). For example, the first device may transmit a preamble (e.g., Msg1) through the random access channel, and the first device may receive a random access response message (e.g., Msg2). The first device may transmit a message (e.g., Msg3) containing information related to the first device (e.g., identification information) to the second device using scheduling information included in the random access response message, and the first device may receive a message (e.g., Msg4) for contention resolution and / or connection establishment. For example, Msg1 and Msg3 can be transmitted and received as a single message (e.g., MsgA), and / or Msg2 and Msg4 can be transmitted and received as a single message (e.g., MsgB).

[0039] In step S107, the first device and the second device may perform signaling of control information. Here, for example, the control information may be defined in various layers, such as a layer controlling the connection (e.g., a radio resource control (RRC) layer), a layer handling mapping between a logical channel and a transmission channel (e.g., a media access control (MAC) layer), and a layer handling a physical channel (e.g., a physical (PHY) layer). For example, the first device and the second device may perform at least one of signaling to establish a connection, signaling to determine settings related to communication, and / or signaling to indicate allocated resources. For example, the control information may be signaled / transmitted through a control channel. For example, the control information and / or the control channel may be used to schedule at least one of data, a data channel (e.g., a shared channel), and / or control information on the data channel.

[0040] In step S109, the first device and the second device may transmit and / or receive data. For example, the first device and the second device may process data based on signaling of control information and transmit and / or receive it. For example, when transmitting data, the first device or the second device may perform at least one of channel encoding, rate matching, scrambling, constellation mapping, layer mapping, waveform modulation, antenna mapping, and / or resource mapping on the information bits. For example, when receiving data, the first device or the second device may perform at least one of signal extraction from resources, antenna-specific waveform demodulation, signal placement considering layer mapping, constellation demapping, descrambling, and / or channel decoding.

[0041] For example, the layers of the radio interface protocol between the first device and the second device can be classified into L1 (layer 1), L2 (layer 2), L3 (layer 3), etc. For example, the physical layer belonging to layer 1 can provide an information transfer service using a physical channel, and the radio resource control (RRC) layer located at layer 3 can perform the role of controlling radio resources between the first device and the second device. To this end, for example, the RRC layer can exchange RRC messages between the first device and the second device.

[0042] FIG. 2 illustrates a radio protocol architecture according to one embodiment of the present disclosure. The embodiment of FIG. 2 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of said embodiment may be omitted. For example, FIG. 2(a) may represent a radio protocol stack in the user plane for uplink communication or downlink communication, and FIG. 2(b) may represent a radio protocol stack in the control plane for uplink communication or downlink communication. For example, FIG. 2(c) may represent a radio protocol stack in the user plane for device-to-device communication, and FIG. 2(d) may represent a radio protocol stack in the control plane for device-to-device communication.

[0043] For example, the physical layer can provide information transmission services to upper layers using a physical channel. For example, the physical layer can be connected to the upper layer, the MAC (medium access control) layer, through a transport channel. For example, data can be transmitted between the MAC layer and the physical layer through a transport channel. For example, transport channels can be classified according to how and with what characteristics data is transmitted through a wireless interface. For example, data can be transmitted through a physical channel between different physical layers (e.g., between the physical layers of a first device and a second device). For example, the physical channel can be modulated using the OFDM (orthogonal frequency division multiplexing) method, and time and frequency can be utilized as wireless resources.

[0044] For example, the MAC layer can provide services to the upper layer, the RLC (radio link control) layer, through logical channels. For example, the MAC layer can provide mapping functions from multiple logical channels to multiple transmission channels. For example, the MAC layer can provide logical channel multiplexing functions through mapping from multiple logical channels to a single transmission channel. For example, the MAC sublayer can provide data transmission services over logical channels.

[0045] For example, the RLC layer can perform concatenation, segmentation, and reassembly of RLC service data units (SDUs). For example, to guarantee various quality of service (QoS) required by a radio bearer (RB), the RLC layer can provide three modes of operation: transparent mode (TM), unacknowledged mode (UM), and acknowledged mode (AM). For example, AM RLC can provide error correction through automatic repeat requests (ARQ).

[0046] For example, the RRC (radio resource control) layer may be defined only in the control plane. For example, the RRC layer may be responsible for controlling logical channels, transmission channels, and physical channels in relation to the configuration, reconfiguration, and release of radio bearers. For example, RB may refer to a logical path provided by the first layer (e.g., physical layer) and the second layer (e.g., MAC layer, RLC layer, PDCP (packet data convergence protocol) layer, SDAP (service data adaptation protocol) layer, etc.) for data transfer between a first device and a second device.

[0047] For example, the functions of the PDCP layer in the user plane may include the delivery of user data, header compression, and ciphering. For example, the functions of the PDCP layer in the control plane may include the delivery of control plane data and encryption / integrity protection.

[0048] For example, the establishment of an RB can mean the process of defining the characteristics of the wireless protocol layer and channel to provide specific services, and setting each specific parameter and method of operation. For example, an RB can be divided into two types: an SRB (signaling radio bearer) and a DRB (data radio bearer). For example, an SRB can be used as a channel to transmit RRC messages in the control plane, and a DRB can be used as a channel to transmit user data in the user plane.

[0049] For example, a downlink transmission channel may include at least one of a broadcast channel (BCH) that transmits system information and / or a shared channel (SCH) that transmits user traffic or control messages. For example, traffic or control messages for a downlink multicast or broadcast service may be transmitted via a downlink SCH or via a separate multicast channel (MCH). Meanwhile, an uplink transmission channel may include at least one of a random access channel (RACH) that transmits initial control messages and / or a shared channel (SCH) that transmits user traffic or control messages. For example, a logical channel located above the transmission channel and mapped to the transmission channel may include at least one of a broadcast control channel (BCCH), a paging control channel (PCCH), a common control channel (CCCH), a multicast control channel (MCCH), and / or a multicast traffic channel (MTCH).

[0050] FIG. 3 illustrates a communication structure that can be provided in a 6G system according to one embodiment of the present disclosure. The embodiment of FIG. 3 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0051] As core implementation technologies for 6G systems, technologies such as artificial intelligence (AI), THz (Terahertz) communication, optical wireless technology, free space optical transmission (FSO) backhaul networks, large-scale MIMO (multiple input multiple output) technology, blockchain, 3D networking, quantum communication, unmanned aerial vehicles, cell-free communication, wireless information and energy transfer (WIET), integration of sensing and communication, integration of access backhaul networks, holographic beamforming, big data analysis, and large intelligent surface (LIS) can be adopted.

[0052] - Artificial Intelligence: Introducing AI into communications can streamline and enhance real-time data transmission. AI can determine how complex target tasks are performed using numerous analyses. For example, AI can increase efficiency and reduce processing latency. Time-consuming tasks such as handover, network selection, and resource scheduling can be performed instantly using AI. AI can also play a significant role in M2M, machine-to-human, and human-to-machine communication. Furthermore, AI can enable rapid communication in Brain-Computer Interfaces (BCI). AI-based communication systems can be supported by metamaterials, intelligent structures, intelligent networks, intelligent devices, intelligent cognitive radios, self-sustaining wireless networks, and machine learning.

[0053] - THz Communication: Data transmission rates can be increased by expanding bandwidth. This can be achieved by using sub-THz communication with wide bandwidth and applying advanced large-scale MIMO technology. THz waves, also known as sub-millimeter radiation, generally refer to a frequency band between 0.1 THz and 10 THz with corresponding wavelengths ranging from 0.03 mm to 3 mm. The 100 GHz-300 GHz band range (Sub-THz band) is considered the primary portion of the THz band for cellular communication. Adding the Sub-THz band to the mmWave band increases 6G cellular communication capacity. Among the defined THz bands, the 300 GHz-3 THz band is located in the far-infrared (IR) frequency band. Although the 300 GHz-3 THz band is part of the optical band, it lies at the boundary of the optical band and immediately following the RF band. Therefore, this 300 GHz-3 THz band exhibits similarities to RF. Key characteristics of THz communication include (i) widely available bandwidth to support very high data transmission rates, and (ii) high path loss occurring at high frequencies (highly directional antennas are indispensable). The narrow beam width generated by highly directional antennas reduces interference. The small wavelength of THz signals allows a much larger number of antenna elements to be integrated into devices and BSs operating in this band. This enables the use of advanced adaptive array technologies that can overcome range limitations.

[0054] - Large-scale MIMO technology

[0055] - Hologram beamforming (HBF)

[0056] - Optical wireless technology

[0057] - Free Space Optical Transmission Backhaul Network (FSO backhaul network)

[0058] - Quantum communication

[0059] - Cell-free communication

[0060] - Integration of wireless information and power transmission

[0061] - Integration of wireless communication and sensing

[0062] - Integrated access and backhaul network

[0063] - Big data analysis

[0064] - Reconfigurable intelligent metasurface

[0065] - Metaverse

[0066] - blockchain

[0067] - Advanced Air Mobility (AAM): AAM can be a broad concept encompassing Urban Air Mobility (UAM), Regional Air Mobility (RAM), and Uncrewed Aerial Systems (UAS). For example, AAM may include UAM, RAM, UAS, and UAVs (uncrewed aerial vehicles).

[0068] - Autonomous driving (self-driving): V2X (vehicle to everything), a core element of building autonomous driving infrastructure, refers to technologies that enable vehicles to communicate and share with various elements on the road to perform autonomous driving, such as wireless communication between vehicles (vehicle to vehicle, V2V) and between vehicles and infrastructure (vehicle to infrastructure, V2I).

[0069] - Non-terrestrial Network (NTN): An NTN may refer to a network or network segment that utilizes RF (radio frequency) resources mounted on a satellite (or UAS platform). The use of NTN services may be considered to secure wider coverage or to provide wireless communication services in locations where the installation of wireless communication base stations is difficult.

[0070] - Integrated Sensing and Communication (ISAC)

[0071] - Reconfigurable Intelligent Surface (RIS): An RIS can be used to manipulate and enhance signal propagation in a wireless communication environment. For example, an RIS can be composed of many small antennas or metasurfaces arranged on a surface, each of which can actively control the phase, amplitude, polarization, etc., of the reflected signal. For instance, an RIS can improve signal reception by controlling the path, phase, and / or strength of the propagating signal. For instance, power consumption can be very low because power is consumed only for controlling the phase and amplitude of the small antennas. For instance, since an RIS can be reconfigured to suit various environments, it can meet diverse communication requirements and operate effectively in dynamic network environments.

[0072] Meanwhile, as the performance of Electronic Control Units (ECUs) improves in the automotive industry, there is a shift from combinations of distributed individual ECUs to integrated, high-performance central ECUs. Simultaneously, there is active interest and development in Software Defined Vehicles (SDVs), which define and control vehicle functions through software. Through SDVs, it will become easier to provide consumers with continuous performance improvements and new features via software updates and upgrades, without altering the vehicle's mechanical components (e.g., chassis, drivetrain, braking system, steering system, exterior, etc.). For instance, this enables functions that provide continuously enhanced safety, convenience, and mobility to vehicle users (e.g., drivers, passengers) at a low cost. Alternatively, for instance, by continuously monitoring, updating, and upgrading the software of ECUs used for engine control, it is possible to improve fuel efficiency and reduce emissions, thereby contributing to environmental improvement. Furthermore, driving performance and the safety of drivers and passengers can be enhanced, for example, through software updates or upgrades of Advanced Driving Assistance Systems (ADAS) and Automated Driving Systems (ADS). Moreover, if there are no constraints on the vehicle's hardware capabilities or reliable network connectivity, new or extended features, services, and software may even be possible.

[0073] Meanwhile, as SDVs begin to be widely adopted, it may be possible to add new features or improve existing ones through software updates / upgrades without replacing mechanical parts; however, the capabilities of electronic and electrical components (e.g., computing power, storage devices, batteries, etc.) required by the updated / upgraded software or new software may increase. For example, technological advancements will increase the computing power required by the functions / software of new vehicles, and to power this, new vehicles will be equipped with onboard units and peripherals (e.g., ECUs, memory, batteries, etc.) with increased computing power. For instance, compared to mobile devices with similar speeds of function / software development and product cycles (e.g., an average of 2 to 3 years for smartphones), the product cycle of automobiles (e.g., an average of 10 to 15 years) is very long; therefore, the use of continuously improving functions and new functions / software in SDVs may be limited by the same computing power and resources, including memory and batteries. For example, new features / software that operate in new vehicles can all be executed using onboard computing resources, but if the same features are to be used in older vehicles, they may not run due to insufficient onboard computing resources. For example, if an older vehicle capable of Level 3 (conditional autonomous driving) functions as defined by SAE J3016 can be upgraded to Level 4 (highly autonomous driving) functions solely through software upgrades without changing mechanical parts, the existing onboard computing capabilities of the older vehicle may not be sufficient to smoothly run Level 4 software or may be impossible to operate, because the highly autonomous driving functions require a high level of computing power / resources for sensor technology that processes more sensor information, data processing, and path planning and control through artificial intelligence.

[0074] In this disclosure, for off-board based computation or offloading when processing and / or operation is difficult with limited on-board computing resources due to the vehicle's functions / software, a method for reporting vehicle information (e.g., status information, expected / planned driving route, status of onboard computing resources), off-board computation, and an apparatus supporting such methods are proposed. Furthermore, this disclosure also proposes conditions for initiating a request for off-board computation or offloading in the vehicle. Additionally, this disclosure proposes a method and apparatus for allocating computing resources based on vehicle information and / or request information requested by an external system / off-board (e.g., server, cloud, etc.).

[0075] For example, as advancements in communication technologies such as 5G and edge computing enable high-speed, high-capacity data transmission between vehicles and cloud servers, as well as the development of cloud computing technology for large-scale data processing and analysis, when the computing resources required by vehicle functions / software cannot operate smoothly solely with the onboard computing resources installed in the vehicle, computing resources can be easily expanded as needed by utilizing external systems / offboard, thereby enabling the execution of various complex functions in the vehicle. For instance, high-performance functions / software, such as real-time data analysis, remote diagnostics, autonomous driving, and user convenience features, can be utilized by leveraging expanded computing resources rather than limited computing resources. Here, for example, offboard computation or offloading may refer to data processing taking place in an external system / device / server / cloud to the device where the data was generated (e.g., inside the vehicle), and computing resources may include all components and information required for computations in the vehicle, such as computations (e.g., CPU, GPU), storage devices (e.g., RAM, SSD, HDD), power (e.g., battery, power unit), platforms (e.g., digital twin, simulation tool), and information / data (e.g., traffic information, statistics-based database). Additionally, for example, it may be used in conjunction with the term "instance" in cloud computing.

[0076] Hereinafter, the method and condition(s) proposed in the present disclosure will be described in detail.

[0077] 1. Method for reporting vehicle status and / or requesting off-board computation / offloading

[0078] For example, in order to efficiently operate the onboard and offboard computing resources of a vehicle, protocols and / or interfaces (e.g., APIs (Application Programming Interfaces)) between the vehicle and offboard resources (e.g., servers, clouds, external devices) may be required. The present disclosure proposes a method for a vehicle to report vehicle information (e.g., status, route, etc.) and / or request offboard computing resources in order to utilize external systems / offboard computing resources.

[0079] For example, when reporting vehicle information to the offboard, the information transmitted may include at least one of the following.

[0080] - Powertrain status (e.g., for internal combustion engine or electric vehicles), fuel / battery status, and performance information of sensors (e.g., radar, camera, lidar, etc.)

[0081] - Available onboard computing resources (e.g., processor performance, memory performance, storage performance, graphics performance, network performance, power efficiency, multitasking capability, scalability, safety, etc.)

[0082] - Passenger Information

[0083] - Estimated driving information (e.g., starting point and destination and / or navigation information, planned route information, estimated route information, driving mode information, environmental information of the estimated route, etc.)

[0084] - Computing resources required for operation (e.g., computational performance and throughput, memory usage, power consumption, etc.)

[0085] For example, information transmitted when a vehicle requests offboard computation / offloading may include at least one of the following.

[0086] (1) For example, the reason for the request and situational information may be included. For example, specific information related to this may be as follows.

[0087] - Insufficient computational performance (e.g., clock speed, number of cores, instruction set, memory bandwidth, cache memory, etc.)

[0088] - Insufficient memory performance (e.g., bandwidth, latency, read / write speed, memory capacity, thermal management, etc.)

[0089] - Insufficient power performance (e.g., power supplement, thermal management, etc.)

[0090] (2) For example, information regarding applications / software / processes related to the offloading may be included. For example, specific information related thereto may be as follows.

[0091] - Type: Driving (e.g., powertrain, battery management system, path planning, trajectory calculation, ADAS (Advanced Driver Assistance System), diagnostics, etc.), Safety (e.g., ABS (Anti-lock Brake System), ESC (Electronic Stability Control)), Comfort (e.g., HVAC (Heating, Ventilation, and Air Conditioning)), Infotainment (e.g., music, video, games, etc.), SW updates / upgrades

[0092] - Type, size, and specifications of required resources (e.g., CPU, GPU, memory, storage)

[0093] - Required processing time, network latency, throughput

[0094] 2. Conditions for operating off-board status reporting and / or off-board computation / offloading requests from the vehicle

[0095] For example, if one or more of the following are satisfied, vehicle information may be reported offboard and / or offboard computing resources may be requested.

[0096] - If all or part of the functions / software scheduled to be executed before driving cannot be executed / operated using onboard computing resources

[0097] - Cases where functions / software requiring additional execution by the user / administrator / system cannot operate using onboard computing resources while driving

[0098] - When the demand for partial / sectoral or total computing resources exceeds a threshold due to the addition of functions / software that the user / administrator or system intends to execute while driving

[0099] - When the vehicle's status (e.g., fuel / battery, route, driving mode, etc.) changes by more than a set threshold while driving

[0100] - If an unstable computing state (e.g., errors, processing delays, inability to input / output) is detected in onboard functions / software

[0101] - When the efficiency of computing resources for onboard functions / software is lower than a threshold

[0102] - When energy saving mode is activated due to a lack of vehicle power (e.g., fuel / battery, etc.) or when onboard computing resources are constrained

[0103] 3. Method for allocating computing resources based on the vehicle status and / or request information requested by the offboard

[0104] The present disclosure proposes a method for allocating computing resources in a predictive demand response manner based on vehicle information and / or request information while offboard. For example, the reservation and / or allocation of computing resources may be a combination of one or more of the methods proposed below.

[0105] - Method for allocating computing resources based on the operation plans and predictions of offloading request vehicles

[0106] For example, based on the planned / estimated route, travel time, route environmental information (e.g., urban roads, highways, power roads, pedestrian-shared roads, etc.), and predicted power consumption (e.g., fuel / battery, etc.) calculated when a vehicle moves from location A to location B, computing resources required for the requested function / software can be predicted, and resources can be scheduled / stocked / reserved off-board (e.g., server / cloud / external system, etc.).

[0107] - A method for distributing and allocating Mobile Edge Computing (MEC) resources based on the operation plans and predictions of offloading request vehicles

[0108] For example, based on the route calculated when a vehicle moves from location A to location B, the estimated time to pass through each point, the estimated network QoS, and the predicted response latency, the computing resources required for the requested function / software can be predicted, and resources can be scheduled, stockpiled, or reserved on the off-board (e.g., servers, clouds, external systems, etc.) of multiple MECs. In this case, for example, the MECs may include the computing resources of automotive OEMs, road infrastructure operators, network operators, and service providers.

[0109] - A method for allocating computing resources based on historical off-board computation usage data of offloading request vehicles

[0110] For example, based on the history of functions / software used during the vehicle's past operation (e.g., autonomous driving, high-performance infotainment such as games, etc.), necessary computing resources can be predicted and scheduled / stockpiled / reserved.

[0111] FIG. 4 illustrates an offloading method for a vehicle with a planned route including urban roads and power roads, according to one embodiment of the present disclosure. The embodiment of FIG. 4 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of said embodiments may be omitted.

[0112] For example, in a vehicle based on an SDV, the operation of enhanced driving functions (e.g., automated driving, HD map updates, etc.) may be limited by onboard computing resources alone. For example, a vehicle capable of an automated driving mode (e.g., SAE Level 4) can safely travel to a destination within a specific area without driver intervention. For instance, the computing resources required to recognize monotonous road environments (e.g., highways, power roads, etc.) can be processed onboard, enabling automated driving. Additionally, for instance, an automated driving mode capable of driving in complex road environments (e.g., urban areas) is developed with improved road environment perception capabilities, allowing the vehicle to use the enhanced automated driving mode through software updates alone, without changing mechanical components.

[0113] Referring to FIG. 4, when a vehicle (420) travels from a starting point (410) to a destination (460) using upgraded autonomous driving software, it may be determined that it may be difficult to execute the upgraded software using only onboard computing resources in some sections of the planned route (430), e.g., urban areas. For example, while it is possible to execute using onboard computing resources in a monotonous road environment (e.g., power roads), there may be insufficient computing resources for sensor processing to recognize the driving environment (e.g., areas including pedestrians, traffic lights, and traffic congestion) in a complex road environment (e.g., urban areas (440) of FIG. 4). For example, if the road environment of the vehicle's planned or expected travel route passes through an urban area (440), conditions for activating a request for offboard computation or offloading proposed in this disclosure may be satisfied. For example, if the conditions are satisfied, the vehicle (420) may transmit vehicle information and / or an offboard computation request to an external system / offboard. For example, the vehicle (420) may transmit vehicle status (e.g., drivetrain information, power information, sensor information, available onboard computing resource information, occupant information) and expected driving information (e.g., starting point and destination point and / or navigation information, planned route information, expected route information, driving mode information, environment information of the expected route) and / or computing resources required for driving (e.g., computational performance, throughput, memory usage, power usage) as proposed in the present disclosure. For example, the vehicle (420) may transmit a request message for offboard computation / offloading as proposed in the present disclosure.

[0114] For example, an external system / offboard that receives vehicle information or offboard computing resource usage request information can allocate computing resources based on the vehicle information and request information. For example, referring to FIG. 4, a certain section from the starting point (410) is a power road, and to perform autonomous driving functions, data processing for route environment recognition and driving functions can be performed based on onboard computing resources. For example, offboard computing resources may not be allocated for this section. For example, after entering the urban area (440), it may be determined that performing functions / software solely with onboard computing resources to handle the complex driving environment is limited, so computing resources for data processing for urban driving environment recognition and driving functions can be reserved / allocated from offboard. Additionally, for example, by referring to the network connection status and the vehicle's route, computing resources may be allocated from MEC#1 (450a) for a certain distance after entering the urban area (440), and computing resources may be allocated from MEC#2 (450b) after passing through a certain section. In summary, horizontal offloading can be performed based on vehicle status and route. For example, sensor data collected from a vehicle (420) can be used to update a high-precision map (e.g., High Definition Map, HD Map). In this case, computing resources can be reserved / allocated offboard based on the vehicle's status (e.g., onboard computing resource utilization, power status) and route, and after performing data processing offboard, the HD map can be updated and provided to multiple vehicles. For example, the allocation of computing resources onboard and offboard can be flexibly adjusted by considering the characteristics of the driving environment and the resources and / or network load required for the analysis / processing of various traffic data (e.g., traffic congestion, travel demand, environmental information, database).

[0115] For example, in addition to the autonomous driving function / software exemplified in the above-described embodiment, various data collected from the vehicle's onboard (e.g., sensors, driver, passengers) can be offloaded offboard and analyzed / processed in real time, thereby improving the vehicle's performance or providing enhanced information to passengers.

[0116] FIG. 5 shows a flowchart of an onboard operation upon an offboard operation or offloading request according to one embodiment of the present disclosure. The embodiment of FIG. 5 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0117] Referring to FIG. 5, in step S510, the vehicle onboard can identify the computing resources required by the function / software to be executed before driving. In step S520, the vehicle onboard can identify the onboard computing resources and determine whether the off-board conditions are satisfied. In step S530, if the off-board conditions are satisfied, the vehicle onboard can transmit information requesting vehicle status information and / or off-board computing resources to the off-board. In step S540, the vehicle onboard can start driving after identifying the off-board computing resources allocated / reserved to the vehicle.

[0118] FIG. 6 illustrates a flowchart of an off-board operation upon an off-board operation or offloading request according to one embodiment of the present disclosure. The embodiment of FIG. 6 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0119] Referring to FIG. 6, at step S610, the external system / offboard may receive information requesting vehicle status information and / or offboard computing resources from the vehicle onboard. At step S620, the external system / offboard may allocate / reserve offboard computing resources for the vehicle onboard based on the vehicle's status / path and offloading request information. At step S630, the external system / offboard may transmit information regarding the offboard computing resources allocated / reserved to the vehicle to the vehicle. At step S640, the external system / offboard may start computing based on the offboard computing resources allocated / reserved to the vehicle.

[0120] FIG. 7 illustrates a method in which a first device performs wireless communication according to one embodiment of the present disclosure. The embodiment of FIG. 7 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of said embodiments may be omitted.

[0121] Referring to FIG. 7, at step S710, the first device may transmit information requesting offloading to the second device. At step S720, the first device may receive information from the second device regarding computing resources allocated to the first device. For example, the information requesting offloading may include information regarding available computing resources of the first device and information regarding required computing resources based on information regarding the driving of the first device.

[0122] For example, the required computing resources may be determined based on the planned path of the first device, the expected path of the first device, the environment of the expected path of the first device, or the driving mode of the first device included in the information related to the driving of the first device.

[0123] For example, information related to the available computing resources may include information indicating that at least one of the computational performance of the first device, the memory performance of the first device, or the power performance of the first device is insufficient for the driving.

[0124] For example, information related to the required computing resources may include at least one of (i) the type of software related to the operation of the first device, (ii) the type of computing resources required for the software, (iii) the size of the computing resources required for the software, (iv) the specifications of the computing resources required for the software, (v) the processing time required for the software, (vi) the network latency required for the software, or (vii) the throughput required for the software.

[0125] For example, information requesting offloading may be transmitted based on the fact that it is impossible to execute software related to the driving of the first device with the available computing resources.

[0126] For example, information requesting offloading may be transmitted based on the fact that, after the software related to the driving of the first device is updated, the execution of the updated software is impossible with the available computing resources.

[0127] For example, information requesting the offloading may be transmitted based on the fact that the amount of the required computing resources is greater than a threshold related to the available computing resources.

[0128] For example, information requesting offloading may be transmitted based on the fact that the state information related to the driving of the first device changes above a threshold value.

[0129] For example, information requesting the offloading may be transmitted based on the fact that the efficiency of the available computing resources is lower than a threshold.

[0130] For example, information requesting the offloading may be transmitted based on the fact that a limitation on the available computing resources has occurred due to the state of the first device.

[0131] For example, the computing resources allocated to the first device can be predicted based on information related to the available computing resources and information related to the required computing resources.

[0132] For example, based on information related to the available computing resources and information related to the required computing resources, the computing resources allocated to the first device may be provided in a distributed manner from a plurality of servers related to the second device.

[0133] For example, based on the fact that the first device is located within an area associated with the first server among a plurality of servers associated with the second device, the first computing resource among the computing resources allocated to the first device may be provided by the first server.

[0134] The proposed method above may be applied to a device according to various embodiments of the present disclosure. First, the processor (102) of the first device (100) may control the transceiver (106) to transmit information requesting offloading to the second device. Then, the processor (102) of the first device (100) may control the transceiver (106) to receive information related to computing resources allocated to the first device from the second device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to driving of the first device.

[0135] According to one embodiment of the present disclosure, a first device configured to perform wireless communication may be provided. For example, the first device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, based on the instructions being executed by the at least one processor, the first device may: transmit information requesting offloading to a second device; and receive from the second device information regarding computing resources allocated to the first device. For example, the information requesting offloading may include information regarding available computing resources of the first device and information regarding required computing resources based on information regarding the operation of the first device.

[0136] According to one embodiment of the present disclosure, a processing device configured to control a first device may be provided. For example, the processing device may include at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, based on the instructions executed by the at least one processor, the first device may: transmit information requesting offloading to a second device; and receive from the second device information regarding computing resources allocated to the first device. For example, the information requesting offloading may include information regarding available computing resources of the first device and information regarding required computing resources based on information regarding the operation of the first device.

[0137] According to one embodiment of the present disclosure, a non-transient computer-readable storage medium recording instructions may be provided. For example, when the instructions are executed, the first device may: transmit information requesting offloading to a second device; and receive from the second device information regarding computing resources allocated to the first device. For example, the information requesting offloading may include information regarding available computing resources of the first device and information regarding required computing resources based on information regarding the operation of the first device.

[0138] FIG. 8 illustrates a method in which a second device performs wireless communication according to one embodiment of the present disclosure. The embodiment of FIG. 8 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of said embodiments may be omitted.

[0139] Referring to FIG. 8, at step S810, the second device may receive information requesting offloading from the first device. At step S820, the second device may allocate computing resources for the first device based on the information requesting offloading. At step S830, the second device may transmit information related to the allocated computing resources to the first device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

[0140] The proposed method above may be applied to a device according to various embodiments of the present disclosure. First, the processor (202) of the second device (200) may control a transceiver (206) to receive information requesting offloading from the first device. Then, the processor (202) of the second device (200) may allocate computing resources for the first device based on the information requesting offloading. Then, the processor (202) of the second device (200) may control the transceiver (206) to transmit information related to the allocated computing resources to the first device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

[0141] According to one embodiment of the present disclosure, a second device configured to perform wireless communication may be provided. For example, the second device may include at least one transceiver; at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, based on the instructions being executed by the at least one processor, the second device may: receive information requesting offloading from the first device; allocate computing resources for the first device based on the information requesting offloading; and transmit information related to the allocated computing resources to the first device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the operation of the first device.

[0142] According to one embodiment of the present disclosure, a processing device configured to control a second device may be provided. For example, the processing device may include at least one processor; and at least one memory connected to the at least one processor and storing instructions. For example, based on the instructions being executed by the at least one processor, the second device may: receive information requesting offloading from a first device; allocate computing resources for the first device based on the information requesting offloading; and transmit information related to the allocated computing resources to the first device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the operation of the first device.

[0143] According to one embodiment of the present disclosure, a non-transient computer-readable storage medium recording instructions may be provided. For example, when the instructions are executed, the second device may: receive information requesting offloading from the first device; allocate computing resources for the first device based on the information requesting offloading; and transmit information related to the allocated computing resources to the first device. For example, the information requesting offloading may include information related to available computing resources of the first device and information related to required computing resources based on information related to the operation of the first device.

[0144] According to various embodiments of the present disclosure, by enabling expansion from limited onboard computing resources to offboard, the implementable functions / software can be expanded, and flexibility, scalability, and cost efficiency in terms of computing resources can be increased. In addition, offboard utilization can be increased by efficiently allocating offboard computing resources based on, for example, the vehicle's status and route.

[0145] Specifically, for example, when a vehicle utilizes off-board computing resources, the range of implementable functions and software can be expanded, and flexibility, scalability, and cost-efficiency in terms of computing resources can be enhanced. Alternatively, for example, constraints on the hardware required for computation within the vehicle can be reduced, and the burden of management can be lessened. Furthermore, for example, new features can be added or existing functions improved through vehicle software updates; by enhancing functionality solely through software updates without replacing mechanical components, the vehicle's product lifespan can be extended and costs can be reduced.

[0146] Alternatively, for example, the product life of a vehicle can be extended by enabling the use of continuously improving functions / software through the efficient use of the vehicle's computing resources, even in relatively aging vehicles. In addition, for example, fuel efficiency / energy efficiency can be continuously improved by improving the performance of the powertrain. In this case, for example, it can contribute to reducing emissions and satisfy the requirements of increasing environmental regulations without replacing mechanical parts.

[0147] Various embodiments of the present disclosure may be combined with one another.

[0148] The following describes an apparatus to which various embodiments of the present disclosure may be applied.

[0149] Although not limited to this, the various descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document may be applied to various fields requiring wireless communication / connection (e.g., 5G) between devices.

[0150] Examples are provided in more detail below with reference to the drawings. In the following drawings and descriptions, the same reference numerals may represent the same or corresponding hardware blocks, software blocks, or function blocks unless otherwise described.

[0151] FIG. 9 shows a communication system (1) according to one embodiment of the present disclosure. The embodiment of FIG. 9 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods and / or operations of the embodiments may be omitted.

[0152] Referring to FIG. 9, a communication system (1) to which various embodiments of the present disclosure are applied includes a wireless device, a base station, and a network. Here, the wireless device refers to a device that performs communication using wireless access technology (e.g., 5G NR (New RAT), LTE (Long Term Evolution)) and may be referred to as a communication / wireless / 5G device. Although not limited thereto, the wireless device may include a robot (100a), a vehicle (100b-1, 100b-2), an XR (eXtended Reality) device (100c), a hand-held device (100d), a home appliance (100e), an IoT (Internet of Thing) device (100f), and an AI device / server (400). For example, the vehicle may include a vehicle equipped with wireless communication functions, an autonomous vehicle, a vehicle capable of performing inter-vehicle communication, etc. Here, the vehicle may include an Unmanned Aerial Vehicle (UAV) (e.g., a drone) and / or an Aerial Vehicle (AV) (e.g., Advanced Air Mobility). The XR device includes an Augmented Reality (AR) / Virtual Reality (VR) / Mixed Reality (MR) device and may be implemented in the form of a Head-Mounted Device (HMD), a Head-Up Display (HUD) equipped in a vehicle, a television, a smartphone, a computer, a wearable device, a home appliance, digital signage, a vehicle, a robot, etc. The portable device may include a smartphone, a smartpad, a wearable device (e.g., a smartwatch, smart glasses), a computer (e.g., a laptop, etc.). The home appliance may include a TV, a refrigerator, a washing machine, etc. The IoT device may include a sensor, a smart meter, etc. For example, a base station and a network may be implemented as a wireless device, and a specific wireless device (200a) may operate as a base station / network node to other wireless devices.

[0153] Here, the wireless communication technology implemented in the wireless devices (100a to 100f) of this specification may include LTE, NR, and 6G, as well as Narrowband Internet of Things for low-power communication. For example, NB-IoT technology may be an example of LPWAN (Low Power Wide Area Network) technology and may be implemented according to standards such as LTE Cat NB1 and / or LTE Cat NB2, but is not limited to the names mentioned above. Additionally, or generally, the wireless communication technology implemented in the wireless devices (100a to 100f) of this specification may perform communication based on LTE-M technology. For example, LTE-M technology may be an example of LPWAN technology and may be referred to by various names such as eMTC (enhanced Machine Type Communication). For example, LTE-M technology may be implemented in at least one of various standards such as 1) LTE CAT 0, 2) LTE Cat M1, 3) LTE Cat M2, 4) LTE non-BL (non-Bandwidth Limited), 5) LTE-MTC, 6) LTE Machine Type Communication, and / or 7) LTE M, and is not limited to the names mentioned above. Additionally or generally, wireless communication technology implemented in the wireless devices (100a to 100f) of this specification may include at least one of ZigBee, Bluetooth, and Low Power Wide Area Network (LPWAN) for low-power communication, and is not limited to the names mentioned above. As an example, ZigBee technology can create personal area networks (PANs) related to small / low-power digital communication based on various standards such as IEEE 802.15.4, and may be referred to by various names.

[0154] Wireless devices (100a to 100f) can be connected to a network (300) through a base station (200). Artificial Intelligence (AI) technology may be applied to the wireless devices (100a to 100f), and the wireless devices (100a to 100f) can be connected to an AI server (400) through the network (300). The network (300) can be configured using a 3G network, a 4G (e.g., LTE) network, or a 5G (e.g., NR) network. The wireless devices (100a to 100f) may communicate with each other through the base station (200) / network (300), but they may also communicate directly (e.g., sidelink communication) without going through the base station / network. For example, vehicles (100b-1, 100b-2) can communicate directly (e.g., V2V (Vehicle to Vehicle) / V2X (Vehicle to everything) communication). Also, IoT devices (e.g., sensors) can communicate directly with other IoT devices (e.g., sensors) or other wireless devices (100a to 100f).

[0155] Wireless communication / connection (150a, 150b, 150c) can be established between wireless devices (100a~100f) / base station (200) and base station (200) / base station (200). Here, wireless communication / connection can be achieved through various wireless access technologies (e.g., 5G NR), such as uplink / downlink communication (150a), sidelink communication (150b) (or D2D communication), and inter-base station communication (150c) (e.g., relay, IAB (Integrated Access Backhaul)). Through wireless communication / connection (150a, 150b, 150c), wireless devices and base stations / wireless devices, and base stations and base stations can transmit / receive wireless signals to / from each other. For example, wireless communication / connection (150a, 150b, 150c) can transmit / receive signals through various physical channels. To this end, based on various proposals of the present disclosure, at least some of the following may be performed: various configuration information setting processes for transmitting / receiving wireless signals, various signal processing processes (e.g., channel encoding / decoding, modulation / demodulation, resource mapping / demapping, etc.), resource allocation processes, etc.

[0156] FIG. 10 shows a wireless device according to one embodiment of the present disclosure. The embodiment of FIG. 10 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods and / or operations of the embodiments may be omitted.

[0157] Referring to FIG. 10, the first wireless device (100) and the second wireless device (200) can transmit and receive wireless signals through various wireless access technologies (e.g., LTE, NR). Here, {the first wireless device (100), the second wireless device (200)} may correspond to {wireless device (100x), base station (200)} and / or {wireless device (100x), wireless device (100x)} of FIG. 9.

[0158] The first wireless device (100) includes one or more processors (102) and one or more memories (104), and may additionally include one or more transceivers (106) and / or one or more antennas (108). The processor (102) controls the memory (104) and / or transceivers (106) and may be configured to implement the descriptions, functions, procedures, proposals, methods and / or sequences of operation disclosed in this document. For example, the processor (102) may process information within the memory (104) to generate a first information / signal and then transmit a wireless signal containing the first information / signal through the transceiver (106). Additionally, the processor (102) may receive a wireless signal containing a second information / signal through the transceiver (106) and then store information obtained from the signal processing of the second information / signal in the memory (104). The memory (104) may be connected to the processor (102) and may store various information related to the operation of the processor (102). For example, the memory (104) may store software code containing instructions for performing some or all of the processes controlled by the processor (102) or for performing the descriptions, functions, procedures, proposals, methods, and / or operation sequence diagrams disclosed in this document. Here, the processor (102) and the memory (104) may be part of a communication modem / circuit / chip designed to implement wireless communication technology (e.g., LTE, NR). The transceiver (106) may be connected to the processor (102) and may transmit and / or receive wireless signals through one or more antennas (108). The transceiver (106) may include a transmitter and / or receiver. The transceiver (106) may be combined with an RF (Radio Frequency) unit. In the present disclosure, a wireless device may refer to a communication modem / circuit / chip.

[0159] The second wireless device (200) includes one or more processors (202) and one or more memories (204), and may additionally include one or more transceivers (206) and / or one or more antennas (208). The processor (202) controls the memory (204) and / or transceivers (206) and may be configured to implement the descriptions, functions, procedures, proposals, methods and / or sequences of operation disclosed in this document. For example, the processor (202) may process information within the memory (204) to generate a third information / signal and then transmit a wireless signal containing the third information / signal through the transceiver (206). Additionally, the processor (202) may receive a wireless signal containing a fourth information / signal through the transceiver (206) and then store information obtained from the signal processing of the fourth information / signal in the memory (204). Memory (204) may be connected to the processor (202) and may store various information related to the operation of the processor (202). For example, memory (204) may store software code containing instructions for performing some or all of the processes controlled by the processor (202) or for performing the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document. Here, the processor (202) and memory (204) may be part of a communication modem / circuit / chip designed to implement wireless communication technology (e.g., LTE, NR). A transceiver (206) may be connected to the processor (202) and may transmit and / or receive wireless signals through one or more antennas (208). The transceiver (206) may include a transmitter and / or receiver. The transceiver (206) may be interchangeable with an RF unit. In this disclosure, a wireless device may refer to a communication modem / circuit / chip.

[0160] Hereinafter, hardware elements of the wireless device (100, 200) will be described in more detail. Although not limited thereto, one or more protocol layers may be implemented by one or more processors (102, 202). For example, one or more processors (102, 202) may implement one or more layers (e.g., functional layers such as PHY, MAC, RLC, PDCP, RRC, SDAP). One or more processors (102, 202) may generate one or more Protocol Data Units (PDUs) and / or Service Data Units (SDUs) according to the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document. One or more processors (102, 202) may generate messages, control information, data, or information according to the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document. One or more processors (102, 202) may generate a signal (e.g., baseband signal) containing a PDU, SDU, message, control information, data, or information according to the functions, procedures, proposals, and / or methods disclosed in this document and provide it to one or more transceivers (106, 206). One or more processors (102, 202) may receive a signal (e.g., baseband signal) from one or more transceivers (106, 206) and may obtain a PDU, SDU, message, control information, data, or information according to the descriptions, functions, procedures, proposals, methods, and / or flowcharts disclosed in this document.

[0161] One or more processors (102, 202) may be referred to as a controller, microcontroller, microprocessor, or microcomputer. One or more processors (102, 202) may be implemented by hardware, firmware, software, or a combination thereof. For example, one or more Application Specific Integrated Circuits (ASICs), one or more Digital Signal Processors (DSPs), one or more Digital Signal Processing Devices (DSPDs), one or more Programmable Logic Devices (PLDs), or one or more Field Programmable Gate Arrays (FPGAs) may be included in one or more processors (102, 202). The descriptions, functions, procedures, proposals, methods, and / or flowcharts disclosed in this document may be implemented using firmware or software, and the firmware or software may be implemented to include modules, procedures, functions, etc. Firmware or software configured to perform the descriptions, functions, procedures, proposals, methods, and / or operation sequences disclosed in this document may be contained in one or more processors (102, 202) or stored in one or more memories (104, 204) and driven by one or more processors (102, 202). The descriptions, functions, procedures, proposals, methods, and / or operation sequences disclosed in this document may be implemented using firmware or software in the form of code, instructions, and / or sets of instructions.

[0162] One or more memories (104, 204) may be connected to one or more processors (102, 202) and may store various forms of data, signals, messages, information, programs, code, instructions, and / or commands. One or more memories (104, 204) may be composed of ROM, RAM, EPROM, flash memory, hard drive, registers, cache memory, computer read storage media, and / or combinations thereof. One or more memories (104, 204) may be located inside and / or outside of one or more processors (102, 202). Additionally, one or more memories (104, 204) may be connected to one or more processors (102, 202) through various technologies such as wired or wireless connections.

[0163] One or more transceivers (106, 206) may transmit user data, control information, wireless signals / channels, etc., as mentioned in the methods and / or operation flowcharts, etc., of this document to one or more other devices. One or more transceivers (106, 206) may receive user data, control information, wireless signals / channels, etc., as mentioned in the descriptions, functions, procedures, proposals, methods and / or operation flowcharts, etc., disclosed in this document from one or more other devices. For example, one or more transceivers (106, 206) may be connected to one or more processors (102, 202) and may transmit and receive wireless signals. For example, one or more processors (102, 202) may control one or more transceivers (106, 206) to transmit user data, control information, or wireless signals to one or more other devices. Additionally, one or more processors (102, 202) may control one or more transceivers (106, 206) to receive user data, control information, or wireless signals from one or more other devices. Additionally, one or more transceivers (106, 206) may be connected to one or more antennas (108, 208), and one or more transceivers (106, 206) may be configured to transmit and receive user data, control information, wireless signals / channels, etc., as described in the descriptions, functions, procedures, proposals, methods, and / or flowcharts of operation disclosed in this document through one or more antennas (108, 208). In this document, one or more antennas may be multiple physical antennas or multiple logical antennas (e.g., antenna ports). One or more transceivers (106, 206) can convert the received wireless signal / channel, etc. from an RF band signal to a baseband signal in order to process the received user data, control information, wireless signal / channel, etc. using one or more processors (102, 202).One or more transceivers (106, 206) can convert user data, control information, wireless signals / channels, etc. processed using one or more processors (102, 202) from baseband signals to RF band signals. To this end, one or more transceivers (106, 206) may include (analog) oscillators and / or filters.

[0164] FIG. 11 shows a signal processing circuit for a transmission signal according to one embodiment of the present disclosure. The embodiment of FIG. 11 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, suggestions, methods, and / or operations of the embodiments may be omitted.

[0165] Referring to FIG. 11, the signal processing circuit (1000) may include a scrambler (1010), a modulator (1020), a layer mapper (1030), a precoder (1040), a resource mapper (1050), and a signal generator (1060). Although not limited thereto, the operation / function of FIG. 11 may be performed in the processor (102, 202) and / or transceiver (106, 206) of FIG. 10. The hardware elements of FIG. 11 may be implemented in the processor (102, 202) and / or transceiver (106, 206) of FIG. 10. For example, blocks 1010 through 1060 may be implemented in the processor (102, 202) of FIG. 10. Additionally, blocks 1010 to 1050 may be implemented in the processor (102, 202) of FIG. 10, and block 1060 may be implemented in the transceiver (106, 206) of FIG. 10.

[0166] The codeword can be converted into a wireless signal through the signal processing circuit (1000) of FIG. 11. Here, the codeword is an encoded bit sequence of an information block. The information block may include a transmission block (e.g., UL-SCH transmission block, DL-SCH transmission block). The wireless signal can be transmitted through various physical channels (e.g., PUSCH, PDSCH).

[0167] Specifically, a codeword can be converted into a scrambled bit sequence by a scrambler (1010). The scrambled sequence used for scrambling is generated based on an initialization value, which may include ID information of a wireless device, etc. The scrambled bit sequence can be modulated into a modulation symbol sequence by a modulator (1020). The modulation method may include pi / 2-BPSK (pi / 2-Binary Phase Shift Keying), m-PSK (m-Phase Shift Keying), m-QAM (m-Quadrature Amplitude Modulation), etc. The complex modulation symbol sequence can be mapped to one or more transmission layers by a layer mapper (1030). The modulation symbols of each transmission layer can be mapped to the corresponding antenna port(s) by a precoder (1040) (precoding). The output z of the precoder (1040) can be obtained by multiplying the output y of the layer mapper (1030) by an N*M precoding matrix W. Here, N is the number of antenna ports and M is the number of transmission layers. Here, the precoder (1040) can perform precoding after performing transform precoding (e.g., DFT transform) on the complex modulation symbols. Additionally, the precoder (1040) can perform precoding without performing transform precoding.

[0168] A resource mapper (1050) can map the modulation symbols of each antenna port to a time-frequency resource. The time-frequency resource may include multiple symbols (e.g., CP-OFDMA symbols, DFT-s-OFDMA symbols) in the time domain and multiple subcarriers in the frequency domain. A signal generator (1060) generates a radio signal from the mapped modulation symbols, and the generated radio signal can be transmitted to another device through each antenna. To this end, the signal generator (1060) may include an Inverse Fast Fourier Transform (IFFT) module, a Cyclic Prefix (CP) inserter, a Digital-to-Analog Converter (DAC), a frequency uplink converter, etc.

[0169] The signal processing process for a received signal in a wireless device can be configured as the inverse of the signal processing process (1010–1060) of FIG. 11. For example, a wireless device (e.g., 100, 200 in FIG. 10) can receive a wireless signal from the outside through an antenna port / transceiver. The received wireless signal can be converted into a baseband signal through a signal restorer. To this end, the signal restorer may include a frequency downlink converter, an analog-to-digital converter (ADC), a CP remover, and a Fast Fourier Transform (FFT) module. Subsequently, the baseband signal can be restored into a codeword through a resource de-mapper process, a postcoding process, a demodulation process, and a de-scrambling process. The codeword can be restored into the original information block through decoding. Accordingly, a signal processing circuit (not shown) for a received signal may include a signal restorer, a resource de-mapper, a postcoder, a demodulator, a de-scrambler, and a decoder.

[0170] FIG. 12 illustrates a wireless device according to one embodiment of the present disclosure. The wireless device may be implemented in various forms depending on the use-example / service (see FIG. 9). The embodiment of FIG. 12 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0171] Referring to FIG. 12, the wireless device (100, 200) corresponds to the wireless device (100, 200) of FIG. 10 and may be composed of various elements, components, units / parts, and / or modules. For example, the wireless device (100, 200) may include a communication unit (110), a control unit (120), a memory unit (130), and additional elements (140). The communication unit may include a communication circuit (112) and transceiver(s) (114). For example, the communication circuit (112) may include one or more processors (102, 202) and / or one or more memories (104, 204) of FIG. 10. For example, the transceiver(s) (114) may include one or more transceivers (106, 206) and / or one or more antennas (108, 208) of FIG. 10. The control unit (120) is electrically connected to the communication unit (110), the memory unit (130), and additional elements (140) and controls the general operation of the wireless device. For example, the control unit (120) may control the electrical / mechanical operation of the wireless device based on a program / code / command / information stored in the memory unit (130). Additionally, the control unit (120) may transmit information stored in the memory unit (130) to the outside (e.g., another communication device) via a wireless / wired interface through the communication unit (110), or store information received from the outside (e.g., another communication device) via a wireless / wired interface through the communication unit (110) in the memory unit (130).

[0172] The additional element (140) may be configured in various ways depending on the type of wireless device. For example, the additional element (140) may include at least one of a power unit / battery, an input / output unit (I / O unit), a driving unit, and a computing unit. Although not limited thereto, the wireless device may be implemented in the form of a robot (Fig. 9, 100a), a vehicle (Fig. 9, 100b-1, 100b-2), an XR device (Fig. 9, 100c), a portable device (Fig. 9, 100d), a home appliance (Fig. 9, 100e), an IoT device (Fig. 9, 100f), a digital broadcasting terminal, a hologram device, a public safety device, an MTC device, a medical device, a fintech device (or financial device), a security device, a climate / environment device, an AI server / device (Fig. 9, 400), a base station (Fig. 9, 200), a network node, etc. Depending on the use—e.g., service—the wireless device may be movable or used in a fixed location.

[0173] In FIG. 12, various elements, components, units / parts, and / or modules within the wireless device (100, 200) may be entirely interconnected via a wired interface, or at least a portion may be wirelessly connected via a communication unit (110). For example, within the wireless device (100, 200), the control unit (120) and the communication unit (110) may be wired, and the control unit (120) and the first unit (e.g., 130, 140) may be wirelessly connected via the communication unit (110). Additionally, each element, component, unit / part, and / or module within the wireless device (100, 200) may include one or more additional elements. For example, the control unit (120) may be composed of one or more sets of processors. For example, the control unit (120) may be composed of a set of a communication control processor, an application processor, an Electronic Control Unit (ECU), a graphics processing processor, a memory control processor, etc. As another example, the memory unit (130) may be composed of RAM (Random Access Memory), DRAM (Dynamic RAM), ROM (Read Only Memory), flash memory, volatile memory, non-volatile memory and / or a combination thereof.

[0174] Hereinafter, an implementation example of FIG. 12 will be described in more detail with reference to the drawings.

[0175] FIG. 13 illustrates a portable device according to one embodiment of the present disclosure. The portable device may include a smartphone, a smartpad, a wearable device (e.g., a smartwatch, smart glasses), or a portable computer (e.g., a laptop). The portable device may be referred to as a Mobile Station (MS), a User Terminal (UT), a Mobile Subscriber Station (MSS), a Subscriber Station (SS), an Advanced Mobile Station (AMS), or a Wireless Terminal (WT). The embodiment of FIG. 13 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0176] Referring to FIG. 13, the portable device (100) may include an antenna unit (108), a communication unit (110), a control unit (120), a memory unit (130), a power supply unit (140a), an interface unit (140b), and an input / output unit (140c). The antenna unit (108) may be configured as part of the communication unit (110). Blocks 110 to 130 / 140a to 140c each correspond to blocks 110 to 130 / 140 of FIG. 12.

[0177] The communication unit (110) can transmit and receive signals (e.g., data, control signals, etc.) with other wireless devices and base stations. The control unit (120) can control the components of the portable device (100) to perform various operations. The control unit (120) may include an AP (Application Processor). The memory unit (130) can store data / parameters / programs / code / commands required for the operation of the portable device (100). Additionally, the memory unit (130) can store input / output data / information, etc. The power supply unit (140a) supplies power to the portable device (100) and may include wired / wireless charging circuits, batteries, etc. The interface unit (140b) can support the connection between the portable device (100) and other external devices. The interface unit (140b) may include various ports (e.g., audio input / output ports, video input / output ports) for connection with external devices. The input / output unit (140c) can receive or output video information / signals, audio information / signals, data, and / or information input by a user. The input / output unit (140c) may include a camera, a microphone, a user input unit, a display unit (140d), a speaker and / or a haptic module, etc.

[0178] For example, in the case of data communication, the input / output unit (140c) acquires information / signals (e.g., touch, text, voice, image, video) input from the user, and the acquired information / signals can be stored in the memory unit (130). The communication unit (110) converts the information / signals stored in the memory into wireless signals and can directly transmit the converted wireless signals to another wireless device or to a base station. Additionally, the communication unit (110) can receive wireless signals from another wireless device or base station and then restore the received wireless signals to their original information / signals. The restored information / signals can be stored in the memory unit (130) and then output in various forms (e.g., text, voice, image, video, haptic) through the input / output unit (140c).

[0179] FIG. 14 illustrates a vehicle or autonomous vehicle according to one embodiment of the present disclosure. The vehicle or autonomous vehicle may be implemented as a mobile robot, vehicle, train, manned or unmanned aerial vehicle (AV), ship, etc. The embodiment of FIG. 14 may be combined with various embodiments of the present disclosure, and some descriptions, functions, procedures, proposals, methods, and / or operations of the embodiments may be omitted.

[0180] Referring to FIG. 14, a vehicle or autonomous vehicle (100) may include an antenna unit (108), a communication unit (110), a control unit (120), a driving unit (140a), a power supply unit (140b), a sensor unit (140c), and an autonomous driving unit (140d). The antenna unit (108) may be configured as part of the communication unit (110). Blocks 110 / 130 / 140a to 140d each correspond to blocks 110 / 130 / 140 of FIG. 17.

[0181] The communication unit (110) can transmit and receive signals (e.g., data, control signals, etc.) with external devices such as other vehicles, base stations (e.g., base stations, roadside base stations (Roadside units), etc.), and servers. The control unit (120) can perform various operations by controlling elements of the vehicle or autonomous vehicle (100). The control unit (120) may include an Electronic Control Unit (ECU). The driving unit (140a) can drive the vehicle or autonomous vehicle (100) on the ground. The driving unit (140a) may include an engine, motor, power train, wheels, brakes, steering device, etc. The power supply unit (140b) supplies power to the vehicle or autonomous vehicle (100) and may include wired / wireless charging circuits, batteries, etc. The sensor unit (140c) can obtain vehicle status, surrounding environment information, user information, etc. The sensor unit (140c) may include an IMU (inertial measurement unit) sensor, a collision sensor, a wheel sensor, a speed sensor, an inclination sensor, a weight detection sensor, a heading sensor, a position module, a vehicle forward / reverse sensor, a battery sensor, a fuel sensor, a tire sensor, a steering sensor, a temperature sensor, a humidity sensor, an ultrasonic sensor, an illuminance sensor, a pedal position sensor, etc. The autonomous driving unit (140d) may implement technologies such as maintaining the driving lane, technologies for automatically adjusting speed such as adaptive cruise control, technologies for automatically driving along a predetermined path, and technologies for automatically setting a path and driving when a destination is set.

[0182] For example, the communication unit (110) can receive map data, traffic information data, etc. from an external server. The autonomous driving unit (140d) can generate an autonomous driving path and a driving plan based on the acquired data. The control unit (120) can control the drive unit (140a) so that the vehicle or the autonomous vehicle (100) moves along the autonomous driving path according to the driving plan (e.g., speed / direction control). During autonomous driving, the communication unit (110) can acquire the latest traffic information data from an external server non-periodically and can acquire surrounding traffic information data from surrounding vehicles. Additionally, during autonomous driving, the sensor unit (140c) can acquire vehicle status and surrounding environment information. The autonomous driving unit (140d) can update the autonomous driving path and the driving plan based on the newly acquired data / information. The communication unit (110) can transmit information regarding the vehicle location, autonomous driving path, driving plan, etc. to an external server. An external server can predict traffic information data in advance using AI technology, etc., based on information collected from vehicles or autonomous vehicles, and can provide the predicted traffic information data to vehicles or autonomous vehicles.

[0183] The claims described in this specification may be combined in various ways. For example, the technical features of the method claims in this specification may be combined to be implemented as a device, and the technical features of the device claims in this specification may be combined to be implemented as a method. Furthermore, the technical features of the method claims and the technical features of the device claims in this specification may be combined to be implemented as a device, and the technical features of the method claims and the technical features of the device claims in this specification may be combined to be implemented as a method.

Claims

1. Regarding the method, The first device transmits information requesting offloading to the second device; and The first device receives information related to computing resources allocated to the first device from the second device; comprising the step of: A method in which the information requesting the offloading includes information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

2. In Paragraph 1, A method in which the required computing resources are determined based on the planned path of the first device, the expected path of the first device, the environment of the expected path of the first device, or the driving mode of the first device, which are included in information related to the driving of the first device.

3. In Paragraph 1, A method comprising information related to the available computing resources, wherein at least one of the computational performance of the first device, the memory performance of the first device, or the power performance of the first device is insufficient for the driving.

4. In Paragraph 1, A method comprising at least one of the information related to the required computing resources, wherein the information related to the required computing resources includes (i) a type of software related to the operation of the first device, (ii) a type of computing resource required for the software, (iii) a size of the computing resource required for the software, (iv) a specification of the computing resource required for the software, (v) a processing time required for the software, (vi) a network latency required for the software, or (vii) a throughput required for the software.

5. In Paragraph 1, A method in which information requesting offloading is transmitted based on the fact that the execution of software related to the driving of the first device is impossible with the available computing resources.

6. In Paragraph 1, A method in which information requesting offloading is transmitted based on the fact that, after the software related to the driving of the first device is updated, the execution of the updated software is impossible with the available computing resources.

7. In Paragraph 1, A method in which information requesting offloading is transmitted based on the amount of the required computing resources being greater than a threshold related to the available computing resources.

8. In Paragraph 1, A method in which information requesting offloading is transmitted based on the fact that state information related to the driving of the first device changes above a threshold value.

9. In Paragraph 1, A method in which information requesting offloading is transmitted based on the fact that the efficiency of the available computing resources is lower than a threshold.

10. In Paragraph 1, A method in which information requesting offloading is transmitted based on the fact that a limitation on the available computing resources has occurred due to the state of the first device.

11. In Paragraph 1, A method in which computing resources allocated to the first device are predicted based on information related to the available computing resources and information related to the required computing resources.

12. In Paragraph 1, A method in which, based on information related to the available computing resources and information related to the required computing resources, the computing resources allocated to the first device are distributedly provided from a plurality of servers related to the second device.

13. In Paragraph 1, A method based on the fact that the first device is located within an area associated with the first server among a plurality of servers associated with the second device, wherein the first computing resource among the computing resources allocated to the first device is provided by the first server.

14. In the first device, At least one transmitter / receiver; At least one processor; and The first device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: To have the second device transmit information requesting offloading; and To receive information related to computing resources allocated to the first device from the second device, The first device, wherein the information requesting the offloading includes information related to available computing resources of the first device and information related to required computing resources based on information related to driving of the first device.

15. In a processing device configured to control a first device, At least one processor; and The first device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: To have the second device transmit information requesting offloading; and To receive information related to computing resources allocated to the first device from the second device, A processing device comprising information requesting the offloading, the information including information related to available computing resources of the first device and information related to required computing resources based on information related to driving of the first device.

16. A non-transient computer-readable storage medium that records instructions, When executed, the above instructions cause the first device: To have the second device transmit information requesting offloading; and To receive information related to computing resources allocated to the first device from the second device, A non-transient computer-readable storage medium comprising information requesting the offloading, the information including information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

17. Regarding the method, A step in which the second device receives information requesting offloading from the first device; The second device allocates computing resources for the first device based on information requesting the offloading; and The second device comprises the step of transmitting information related to the allocated computing resources to the first device; wherein A method in which the information requesting the offloading includes information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

18. In the second device, At least one transmitter / receiver; At least one processor; and The second device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: Receiving information requesting offloading from the first device; Based on the information requesting the offloading above, computing resources for the first device are allocated; and To transmit information related to the above-mentioned allocated computing resources to the first device, A second device, wherein the information requesting the offloading includes information related to available computing resources of the first device and information related to required computing resources based on information related to driving of the first device.

19. In a processing device configured to control a second device, At least one processor; and The second device comprises at least one memory connected to the at least one processor and storing instructions, wherein the instructions are executed by the at least one processor: Receiving information requesting offloading from the first device; Based on the information requesting the offloading above, computing resources for the first device are allocated; and To transmit information related to the above-mentioned allocated computing resources to the first device, A processing device comprising information requesting the offloading, the information including information related to available computing resources of the first device and information related to required computing resources based on information related to driving of the first device.

20. A non-transient computer-readable storage medium that records instructions, When executed, the above commands cause the second device: Receiving information requesting offloading from the first device; Based on the information requesting the offloading above, computing resources for the first device are allocated; and To transmit information related to the above-mentioned allocated computing resources to the first device, A non-transient computer-readable storage medium comprising information requesting the offloading, the information including information related to available computing resources of the first device and information related to required computing resources based on information related to the driving of the first device.

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