Data rendering at edge devices or network nodes

Abstract

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an edge device can obtain a condition associated with a data rendering operation, where data associated with the data rendering operation includes at least one of image data or video data. The edge device can generate or receive an output of the data rendering operation in accordance with the condition, where the data rendering operation is performed at the edge device in accordance with the condition being satisfied or the data rendering operation is performed at a network node in accordance with the condition not being satisfied. Numerous other aspects are described.

Description

Technical Field

[0001] All aspects of this disclosure relate to wireless communication in general, and to techniques and apparatus for data rendering at edge devices or network nodes. Background Technology

[0002] Wireless communication systems are widely deployed to provide a variety of telecommunications services, such as telephone, video, data, messaging, and broadcasting. Typical wireless communication systems employ multiple access technologies that enable communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, etc.). Examples of such multiple access technologies include Code Division Multiple Access (CDMA) systems, Time Division Multiple Access (TDMA) systems, Frequency Division Multiple Access (FDMA) systems, Orthogonal Frequency Division Multiple Access (OFDMA) systems, Single Carrier Frequency Division Multiple Access (SC-FDMA) systems, Time Division Synchronous Code Division Multiple Access (TD-SCDMA) systems, and Long Term Evolution (LTE). LTE / LTE-Advanced is an enhancement set of the Universal Mobile Telecommunications System (UMTS) mobile standard issued by the 3rd Generation Partnership Project (3GPP).

[0003] A wireless network may include one or more network nodes that support communication for wireless communication devices, such as user equipment (UE) or multiple UEs. A UE may communicate with network nodes via downlink and uplink communication. A "downlink" (or "DL") refers to the communication link from the network node to the UE, and an "uplink" (or "UL") refers to the communication link from the UE to the network node. Some wireless networks may support device-to-device communication, such as via local links (e.g., sidelinks (SL), wireless local area network (WLAN) links, and / or wireless personal area network (WPAN) links, etc.).

[0004] The aforementioned multiple access technologies have been adopted in various telecommunications standards to provide a common protocol that enables different UEs to communicate at the city, country, region, and / or global levels. New Radio (NR) (which may be referred to as 5G) is a set of enhancements to the LTE mobile standard issued by 3GPP. NR is designed to better support mobile broadband internet access by: improving spectrum efficiency; reducing costs; improving service; utilizing new spectrum; and better integrating with other open standards by using Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) on the downlink (CP-OFDM), and CP-OFDM and / or Single Carrier Frequency Division Multiplexing (SC-FDM) (also known as Discrete Fourier Transform Extended OFDM (DFT-s-OFDM)) on the uplink; and supporting beamforming, Multiple-Input Multiple-Output (MIMO) antenna technologies and carrier aggregation. Further improvements to LTE, NR, and other radio access technologies remain useful as the demand for mobile broadband access continues to increase. Summary of the Invention

[0005] In some aspects, a method of wireless communication performed by an edge device includes: obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generating or receiving an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at a network node if the conditions are not met.

[0006] In some aspects, a method of wireless communication performed by a network node includes: obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generating or receiving an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at the network node if the conditions are not met.

[0007] In some aspects, an apparatus for wireless communication at an edge device includes: one or more memories; and one or more processors coupled to the one or more memories and configured to cause the edge device to: obtain conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generate or receive an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at a network node if the conditions are not met.

[0008] In some aspects, an apparatus for wireless communication at a network node includes: one or more memories; and one or more processors coupled to the one or more memories and configured to cause the network node to: obtain conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generate or receive an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at the network node if the conditions are not met.

[0009] In some aspects, a non-transitory computer-readable medium storing a set of instructions for wireless communication includes one or more instructions that, when executed by one or more processors of an edge device, cause the edge device to: obtain a condition associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generate or receive an output of the data rendering operation based on the condition, wherein the data rendering operation is performed at the edge device if the condition is met, or at a network node if the condition is not met.

[0010] In some aspects, a non-transitory computer-readable medium storing a set of instructions for wireless communication includes one or more instructions that, when executed by one or more processors of a network node, cause the network node to: obtain a condition associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generate or receive an output of the data rendering operation based on the condition, wherein the data rendering operation is performed at an edge device if the condition is met, or at the network node if the condition is not met.

[0011] In some aspects, an apparatus for wireless communication includes: components for obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and components for generating or receiving an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the apparatus if the conditions are met, or at a network node if the conditions are not met.

[0012] In some aspects, an apparatus for wireless communication includes: components for obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and components for generating or receiving an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at the apparatus if the conditions are not met.

[0013] The entirety of the terms includes methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, network entities, network nodes, wireless communication devices and / or processing systems as fully described herein with reference to the accompanying drawings and illustrated therein.

[0014] The features and technical advantages of the examples according to this disclosure have been summarized rather extensively above in order to better understand the detailed description below. Additional features and advantages will be described below. The disclosed concepts and specific examples can be readily utilized as the basis for modifying or designing other structures for achieving the same purpose of this disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein, in both their organization and manner of operation, and the associated advantages, will be better understood by considering the following description in conjunction with the accompanying drawings. Each drawing provided in the drawings is for illustrative and descriptive purposes and not as a limitation of the definitions in the claims.

[0015] While aspects are described herein by way of example, those skilled in the art will understand that such aspects can be implemented in many different arrangements and scenarios. The techniques described herein can be implemented using different platform types, devices, systems, shapes, sizes, and / or package arrangements. For example, some aspects can be implemented via integrated chip implementations or other devices based on non-modular components (e.g., end-user equipment, vehicles, communication equipment, computing devices, industrial equipment, retail / shopping devices, medical devices, and / or artificial intelligence devices). Aspects can be implemented in chip-level components, modular components, non-modular components, non-chip-level components, device-level components, and / or system-level components. Devices incorporating the described aspects and features may include additional components and features for implementing and practicing the claimed and described aspects. For example, the transmission and reception of wireless signals may include one or more components for analog and digital purposes (e.g., hardware components including antennas, radio frequency (RF) chains, power amplifiers, modulators, buffers, processors, interleavers, adders, and / or summers). The aspects described herein are intended to be practiced in a wide variety of devices, components, systems, distributed arrangements, and / or end-user equipment of various sizes, shapes, and configurations. Attached Figure Description

[0016] To gain a full understanding of the foregoing features of this disclosure, a more specific description of the invention, briefly outlined above, can be obtained by referring to various aspects, some of which are illustrated in the accompanying drawings. However, it should be noted that the drawings illustrate only certain typical aspects of this disclosure and are therefore not to be considered as limiting its scope, as other equally valid aspects are permissible in this description. The same reference numerals in different drawings may identify the same or similar elements.

[0017] Figure 1 This is a diagram illustrating an example of a wireless network according to the present disclosure.

[0018] Figure 2 This is a diagram illustrating an example of communication between a network node and a user equipment (UE) in a wireless network according to the present disclosure.

[0019] Figure 3 This is a diagram illustrating an example decomposed base station architecture according to this disclosure.

[0020] Figure 4 This is a diagram illustrating an example of extended reality communication according to this disclosure.

[0021] Figures 5A to 5D This is an illustration of an example of data rendering at an edge device or network node according to this disclosure.

[0022] Figure 6 This is an illustration of an example of parameters for data rendering according to this disclosure.

[0023] Figure 7 This is a diagram illustrating an example process performed, for example, at an edge device or an apparatus of an edge device, according to the present disclosure.

[0024] Figure 8 This is a diagram illustrating an example process performed, for example, at a network node or a device of a network node, according to the present disclosure.

[0025] Figure 9 This is a diagram of an example device for wireless communication according to the present disclosure.

[0026] Figure 10 This is a diagram of an example device for wireless communication according to the present disclosure. Detailed Implementation

[0027] Network nodes can communicate data with edge devices. For example, a network node can communicate XR data associated with an extended reality (XR) application operating on the edge device. In some cases, the edge device can be a user equipment (UE), and the UE can communicate with the XR device. In some other cases, the edge device can be an XR device communicating with the UE. In some still cases, the edge device can be a device that includes one or more features of the UE and the XR device, or the UE and the XR device. The edge device can send sensor information to the network node. The sensor information may include sensor information associated with one or more applications operating on the edge device, such as one or more XR applications. The network node can send data to the edge device based on the sensor information. The data may be, for example, image data and / or video data associated with one or more applications operating on the edge device. In some cases, data may be rendered at the network node and / or at the edge device.

[0028] Data rendering may include transforming raw data into a digital representation of the data. For example, in the context of image data, data rendering may include generating pixel-based graphics representing the image, and in the context of video data, data rendering may include sequential rendering of frames to produce a dynamic visual sequence. In some cases, data rendering can be performed at network nodes. Performing data rendering at network nodes allows for the generation of higher quality image and video data, for example, due to the more powerful rendering capabilities at network nodes, and / or may enable reduced power consumption at edge devices. However, performing data rendering at network nodes may require greater downlink bandwidth for image and video data transmission, and / or may result in increased uplink or downlink transmission latency. In some other cases, data rendering may be performed at edge devices. Performing data rendering at edge devices may require less downlink bandwidth for image and video data transmission, and / or may reduce uplink and downlink transmission latency. However, performing data rendering at edge devices may result in the generation of lower quality image and video data, and / or may consume significant power resources at the edge devices. In some cases, performing data rendering at a network node may be beneficial, while in others, performing it at an edge device may be more advantageous. However, network nodes and edge devices may not be configured to communicate information indicating where data rendering should be performed. This can result in degraded image or video quality, increased power consumption at the edge device, increased network bandwidth requirements, and / or increased latency in uplink and downlink communications.

[0029] Various aspects are involved in wireless communication as a whole. Some aspects are more specifically involved in data rendering at edge devices or network nodes. In some aspects, edge devices and / or network nodes can obtain conditions associated with data rendering operations. The data associated with data rendering operations may include at least one of image data or video data (such as image data or video data associated with XR applications). Edge devices and / or network nodes can identify whether conditions are met. In some aspects, identifying whether conditions are met may include: identifying whether channel quality metric conditions are met, identifying whether edge device location conditions are met, identifying whether edge device speed conditions are met, and / or identifying whether downlink resource availability conditions are met. Edge devices and / or network nodes can perform data rendering operations based on whether conditions are met or not. In one example, the edge device can perform data rendering operations based on met conditions. In another example, the network node can perform data rendering operations based on unmet conditions. In some aspects, the edge device can send sensor information to the network node, and the network node can command the edge device to perform data rendering operations at least in part based on the sensor information. In some aspects, network nodes can indicate the minimum number of steps to be used to perform a data rendering operation, and edge devices can perform the data rendering operation using a number of steps greater than or equal to the minimum number of steps. In some aspects, edge devices can perform data rendering operations and can send seeds and / or hints based on the execution of the data rendering operation.

[0030] Specific aspects of the subject matter described in this disclosure can be implemented to achieve one or more of the following potential advantages. In some examples, by performing data rendering operations at network nodes based on conditions, the described techniques can be used, for example, to improve the quality of images or videos associated with data rendering when conditions are not met. In some examples, by performing data rendering operations at network nodes based on conditions, the described techniques can be used, for example, to reduce power consumption at edge devices when conditions are not met. In some examples, by performing data rendering operations at edge devices based on conditions, the described techniques can be used, for example, to reduce network bandwidth requirements when conditions are met. In some examples, by performing data rendering operations at edge devices based on conditions, the described techniques can be used, for example, to reduce uplink and downlink communication latency when conditions are met. These example advantages, etc., will be described in more detail below.

[0031] Various aspects of this disclosure are described more fully below with reference to the accompanying drawings. However, this disclosure may be embodied in many different forms and should not be construed as limited to any particular structure or function presented throughout this disclosure. Rather, these aspects are provided so that this disclosure will be comprehensive and complete, and will fully convey the scope of protection of this disclosure to those skilled in the art. Those skilled in the art will appreciate that the scope of this disclosure is intended to cover any aspect of this disclosure disclosed herein, whether implemented independently or in combination with any other aspect of this disclosure. For example, any number of aspects set forth herein may be used to implement an apparatus or method of practice. Furthermore, the scope of this disclosure is intended to cover such apparatuses or methods implemented using structures, functions, or structures and functions other than or different from the various aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure herein may be embodied by one or more elements of the claims.

[0032] Various devices and techniques will now be used to illustrate several aspects of a telecommunications system. These devices and techniques will be described in detail below and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, or algorithms (collectively, “elements”). These elements may be implemented using hardware, software, or a combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the system as a whole.

[0033] Although terms generally associated with 5G or New Radio (NR) Radio Access Technology (RAT) may be used herein to describe aspects, aspects of this disclosure may be applied to other RATs, such as 3G RAT, 4G RAT and / or 5G and later (e.g., 6G) RATs.

[0034] Figure 1This is a diagram illustrating an example of a wireless network 100 according to the present disclosure. The wireless network 100 may be a 5G (e.g., NR) network and / or a 4G (e.g., LTE) network, or may include elements of a 5G (e.g., NR) network and / or elements of a 4G (e.g., LTE) network, etc. The wireless network 100 may include one or more network nodes 110 (shown as network node 110a, network node 110b, network node 110c, and network node 110d), one or more UEs 120 (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e), and / or other entities. Network node 110 is a network node that communicates with UE 120. As shown, network node 110 may include one or more network nodes. For example, network node 110 can be an aggregated network node, meaning that the aggregated network node is configured to utilize a radio protocol stack that is physically or logically integrated within a single radio access network (RAN) node (e.g., within a single device or unit). As another example, network node 110 can be a decomposed network node (sometimes referred to as a decomposed base station), meaning that the network node 110 is configured to utilize a protocol stack that is physically or logically distributed among two or more nodes (such as one or more central units (CUs), one or more distributed units (DUs), or one or more radio units (RUs)).

[0035] In some examples, network node 110 is or includes network nodes such as RU that communicate with UE 120 via a radio access link. In some examples, network node 110 is or includes network nodes such as DU that communicate with other network nodes 110 via a fronthaul or midhaul link. In some examples, network node 110 is or includes network nodes such as CU that communicate with other network nodes 110 via a midhaul link or with the core network via a backhaul link. In some examples, network node 110 (such as aggregated network node 110 or decomposed network node 110) may include multiple network nodes, such as one or more RUs, one or more CUs, and / or one or more DUs. Network node 110 may include, for example, NR base stations, LTE base stations, Node Bs, eNBs (e.g., in 4G), gNBs (e.g., in 5G), access points, Transmit / Receive Points (TRPs), DUs, RUs, CUs, network mobility elements, core network nodes, network elements, network equipment, RAN nodes, or combinations thereof. In some examples, network nodes 110 can interconnect with each other or with one or more other network nodes 110 in the wireless network 100 using any suitable transport network through various types of fronthaul interfaces, midhaul interfaces, and / or backhaul interfaces (such as direct physical connections, air interfaces, or virtual networks).

[0036] In some examples, network node 110 may provide communication coverage for a specific geographic area. In the 3rd Generation Partnership Project (3GPP), depending on the context of terminology use, the term "cell" may refer to the coverage area of ​​network node 110 and / or the network node subsystem serving that coverage area. Network node 110 may provide communication coverage for macrocells, picocells, femtocells, and / or another type of cell. A macrocell may cover a relatively large geographic area (e.g., with a radius of several kilometers) and may allow unrestricted access by UE 120 with a service subscription. A picocell may cover a relatively small geographic area and may allow unrestricted access by UE 120 with a service subscription. A femtocell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by UE 120 associated with the femtocell (e.g., UE 120 in a Closed Subscriber Group (CSG)). Network node 110 used for macrocells may be referred to as a macro network node. Network node 110 used for picocells may be referred to as a pico network node. The network node 110 used for femtocells can be referred to as a femtocell network node or a home network node. Figure 1 In the example shown, network node 110a may be a macro network node for macro cell 102a, network node 110b may be a pico network node for pico cell 102b, and network node 110c may be a femto network node for femto cell 102c. Network nodes may support one or more (e.g., three) cells. In some examples, the cells may not necessarily be stationary, and the geographical area of ​​the cells may move depending on the location of the mobile network node 110 (e.g., a mobile network node).

[0037] In some aspects, the term "base station" or "network node" may refer to an aggregated base station, a decomposed base station, an integrated access and backhaul (IAB) node, a relay node, or one or more components thereof. For example, in some aspects, "base station" or "network node" may refer to a CU, DU, RU, a near real-time (near RT) RAN intelligent controller (RIC), or a non-real-time (non-RT) RIC, or a combination thereof. In some aspects, the term "base station" or "network node" may refer to a device configured to perform one or more functions (such as those described herein in conjunction with network node 110). In some aspects, the term "base station" or "network node" may refer to multiple devices configured to perform one or more functions. For example, in some distributed systems, each of multiple different devices (which may be located in the same geographical location or different geographical locations) may be configured to perform at least a portion of a function, or to repeatedly perform at least a portion of that function, and the term "base station" or "network node" may refer to any one or more of these different devices. In some aspects, the term "base station" or "network node" may refer to one or more virtual base stations or one or more virtual base station functions. For example, in some aspects, two or more base station functions can be instantiated on a single device. In some aspects, the term "base station" or "network node" may refer to one base station function rather than another. In this way, a single device can include more than one base station.

[0038] Wireless network 100 may include one or more relay stations. A relay station is a network node that can receive data transmissions from upstream nodes (e.g., network node 110 or UE 120) and transmit data to downstream nodes (e.g., UE 120 or network node 110). A relay station may be a UE 120 that can relay transmissions to other UE 120s. Figure 1 In the example shown, network node 110d (e.g., a relay network node) can communicate with network node 110a (e.g., a macro network node) and UE 120d to facilitate communication between network node 110a and UE 120d. The network node 110 for relay communication may be referred to as a relay station, relay base station, relay network node, relay node, repeater, etc.

[0039] Wireless network 100 can be a heterogeneous network, comprising different types of network nodes 110, such as macro network nodes, pico network nodes, femto network nodes, relay network nodes, etc. These different types of network nodes 110 may have different transmit power levels, different coverage areas, and / or different effects on interference in wireless network 100. For example, macro network nodes may have high transmit power levels (e.g., 5 watts to 40 watts), while pico network nodes, femto network nodes, and relay network nodes may have lower transmit power levels (e.g., 0.1 watts to 2 watts).

[0040] Network controller 130 may be coupled to or communicate with network node set 110, and may provide coordination and control for these network nodes 110. Network controller 130 may communicate with network nodes 110 via a backhaul or midhaul link. Network nodes 110 may also communicate directly with each other, or indirectly via a wireless or wired backhaul link. In some aspects, network controller 130 may be a CU or core network device, or may include a CU or core network device.

[0041] UE 120 may be distributed throughout the wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, access terminals, terminals, mobile stations, and / or subscriber units. UE 120 may be a cellular phone (e.g., a smartphone), a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet computer, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smartwatch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or smart bracelet)), an entertainment device (e.g., a music device, a video device, and / or a satellite radio), a vehicle component or sensor, a smart meter / sensor, industrial manufacturing equipment, a GPS device, a UE function of a network node, and / or any other suitable device configured to communicate via wireless or wired media.

[0042] Some UEs 120 may be considered Machine-Type Communication (MTC) or Evolved or Enhanced Machine-Type Communication (eMTC) UEs. MTC UEs and / or eMTC UEs may include, for example, robots, unmanned aerial vehicles, remote devices, sensors, instruments, monitors, and / or location tags that can communicate with network nodes, another device (e.g., a remote device), or some other entity. Some UEs 120 may be considered Internet of Things (IoT) devices and / or may be implemented as NB-IoT (Narrowband IoT) devices. Some UEs 120 may be considered customer premises equipment. UEs 120 may be housed within a housing containing components such as processor components and / or memory components. In some examples, the processor components and memory components may be coupled together. For example, the processor components (e.g., one or more processors) and memory components (e.g., memory) may be operatively coupled, communicatively coupled, electronically coupled, and / or electrically coupled.

[0043] Generally, any number of wireless networks 100 can be deployed in a given geographical area. Each wireless network 100 can support a specific RAT and can operate on one or more frequencies. A RAT may be referred to as a radio technology, air interface, etc. A frequency may be referred to as a carrier, frequency channel, etc. Each frequency in a given geographical area can support a single RAT to avoid interference between wireless networks using different RATs. In some cases, NR or 5G RAT networks can be deployed.

[0044] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly using one or more sidelink channels (e.g., without using network node 110 as an intermediary device to communicate with each other). For example, UE 120 may communicate using peer-to-peer (P2P) communication, device-to-device (D2D) communication, vehicle-to-everything (V2X) protocols (e.g., which may include vehicle-to-vehicle (V2V) protocols, vehicle-to-infrastructure (V2I) protocols, or vehicle-to-pedestrian (V2P) protocols) and / or mesh networks. In such examples, UE 120 may perform scheduling operations, resource selection operations, and / or other operations described elsewhere herein as being performed by network node 110.

[0045] Devices in Wireless Network 100 can communicate using the electromagnetic spectrum, which can be subdivided into various categories, bands, channels, etc., based on frequency or wavelength. For example, devices in Wireless Network 100 can communicate using one or more operating frequency bands. In 5G NR, two initial operating frequency bands have been designated as frequency ranges FR1 (410MHz to 7.125GHz) and FR2 (24.25GHz to 52.6GHz). It should be understood that although a portion of FR1 is greater than 6GHz, FR1 is generally (interchangeably) referred to as the “sub-6GHz” band in various documents and articles. Similar naming issues sometimes occur with FR2, which is generally (interchangeably) referred to as the “millimeter wave” band in documents and articles, although this is different from the Extremely High Frequency (EHF) band (30GHz to 300GHz) designated as a “millimeter wave” band by the International Telecommunication Union (ITU).

[0046] The frequencies between FR1 and FR2 are generally referred to as mid-band frequencies. Recent 5G NR studies have identified the operating bands used for these mid-band frequencies as the frequency range designation FR3 (7.125 GHz to 24.25 GHz). Bands falling within FR3 can inherit FR1 and / or FR2 characteristics, thus effectively extending the features of FR1 and / or FR2 to mid-band frequencies. Furthermore, higher frequency bands are currently being explored to extend 5G NR operation beyond 52.6 GHz. For example, three higher operating frequency bands have been identified as the frequency range designations FR4a or FR4-1 (52.6 GHz to 71 GHz), FR4 (52.6 GHz to 114.25 GHz), and FR5 (114.25 GHz to 300 GHz). Each of these higher frequency bands falls within the EHF band.

[0047] Considering the examples above, unless otherwise specifically stated, it should be understood that if the term "below 6 GHz" is used herein, it can broadly refer to frequencies below 6 GHz, within FR1, or including intermediate frequency bands. Furthermore, unless otherwise specifically stated, it should be understood that if the term "millimeter wave" is used herein, it can broadly refer to frequencies that can include intermediate frequency bands, within FR2, FR4, FR4-a, or FR4-1 and / or FR5, or within the EHF band. Modifications to frequencies included in these operating frequency bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, and / or FR5) are contemplated, and the techniques described herein are applicable to those modified frequency ranges.

[0048] In some aspects, UE 120 (e.g., an edge device) may include communication manager 140. As described in more detail elsewhere herein, communication manager 140 may obtain conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generate or receive outputs of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the UE if the conditions are met, or at a network node if the conditions are not met. Additionally or alternatively, communication manager 140 may perform one or more other operations described herein.

[0049] In some aspects, network node 110 may include communication manager 150. As described in more detail elsewhere herein, communication manager 150 may obtain conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generate or receive output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the UE if the conditions are met, or at the network node if the conditions are not met. Additionally or alternatively, communication manager 150 may perform one or more other operations described herein.

[0050] As indicated above, Figure 1 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 1 The examples described are different.

[0051] Figure 2 This is a diagram illustrating example 200 of communication between network node 110 and UE 120 in a wireless network 100 according to this disclosure. Network node 110 may be equipped with antenna sets 234a to 234t, such as... T One antenna ( T ≥1). UE 120 may be equipped with antenna sets 252a to 252r, such as R One antenna ( R ≥1). Network node 110 of Example 200 includes one or more radio frequency components, such as antenna 234 and modem 232. In some examples, network node 110 may include an interface, communication components, or another component that facilitates communication with UE 120 or another network node. Some network node 110 may not include radio frequency components that facilitate direct communication with UE 120, such as one or more CUs or one or more DUs.

[0052] At network node 110, transmitting processor 220 can receive data from data source 212 intended for use by UE 120 (or UE set 120). Transmitting processor 220 can select one or more modulation and decoding schemes (MCS) for UE 120 based at least in part on one or more channel quality indicators (CQIs) received from UE 120. Network node 110 can process (e.g., encode and modulate) the data for UE 120 based at least in part on the MCS selected for UE 120 and can provide data symbols for UE 120. Transmitting processor 220 can process system information (e.g., semi-static resource partitioning information (SRPI)) and control information (e.g., CQI requests, grants, and / or upper-layer signaling) and provide overhead symbols and control symbols. Transmitting processor 220 can generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS) or demodulation reference signals (DMRS)) and synchronization signals (e.g., primary synchronization signal (PSS) or secondary synchronization signal (SSS)). The transmit (TX) multiple-input multiple-output (MIMO) processor 230 can perform spatial processing (e.g., pre-decoding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols where applicable, and can process a set of output symbol streams (e.g., T The output symbol streams are provided to the corresponding set 232 of modems (e.g., ...). T Each modem 232a to 232t can be used to process a corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. For example, each output symbol stream can be provided to a modulator component (MOD) of modem 232. Each modem 232 can use a corresponding modulator component to process the corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modem 232 can also use a corresponding modulator component to process the output sample stream (e.g., convert to analog, amplify, filter, and / or up-convert) to obtain a downlink signal. Modems 232a to 232t can be used via a corresponding set of antennas 234 (e.g., T A collection of downlink signals (e.g., antennas 234a to 234t) is used to transmit downlink signals. T (One downlink signal).

[0053] At UE 120, the antenna set 252 (shown as antennas 252a to 252r) can receive downlink signals from network node 110 and / or other network nodes 110 and can transmit the set of received signals (e.g., R The received signals) are provided to the modem in a set of 254 (e.g., REach modem 254 (shown as modems 254a to 254r) may receive a signal. For example, each received signal may be provided to a demodulator component (shown as DEMOD) of modem 254. Each modem 254 may use a corresponding demodulator component to condition (e.g., filter, amplify, down-convert, and / or digitize) the received signal to obtain an input sample. Each modem 254 may use a demodulator component to further process the input sample (e.g., for OFDM) to obtain a received symbol. MIMO detector 256 may obtain the received symbols from modem 254, perform MIMO detection on the received symbols where applicable, and provide the detected symbols. Receiver processor 258 may process (e.g., demodulate and decode) the detected symbols, provide the decoded data for UE 120 to data sink 260, and provide the decoded control information and system information to controller / processor 280. The term "controller / processor" may refer to one or more controllers, one or more processors, or a combination thereof. The channel processor can determine parameters such as the Reference Signal Received Power (RSRP), Received Signal Strength Indicator (RSSI), Reference Signal Received Quality (RSRQ), and / or CQI. In some examples, one or more components of the UE 120 may be included in the housing 284.

[0054] Network controller 130 may include communication unit 294, controller / processor 290, and memory 292. Network controller 130 may include one or more devices, for example, in a core network. Network controller 130 may communicate with network node 110 via communication unit 294.

[0055] One or more antennas (e.g., antennas 234a to 234t and / or antennas 252a to 252r) may include one or more antenna panels, one or more antenna groups, one or more collections of antenna elements, and / or one or more antenna arrays, etc., or may be included within one or more antenna panels, one or more antenna groups, one or more collections of antenna elements, and / or one or more antenna arrays, etc. Antenna panels, antenna groups, collections of antenna elements, and / or antenna arrays may include one or more antenna elements (within a single housing or multiple housings), collections of coplanar antenna elements, collections of non-coplanar antenna elements, and / or coupled to one or more transmitting and / or receiving components (such as...). Figure 2 One or more antenna elements (one or more components in a )

[0056] On the uplink, at UE 120, the transmit processor 264 can receive and process data from data source 262 and control information from controller / processor 280 (e.g., for reporting including RSRP, RSSI, RSRQ, and / or CQI). The transmit processor 264 can generate reference symbols for one or more reference signals. The symbols from the transmit processor 264 can be pre-decoded by the TX MIMO processor 266 where applicable, further processed by the modem 254 (e.g., for DFT-s-OFDM or CP-OFDM), and transmitted to network node 110. In some examples, the modem 254 of UE 120 may include a modulator and demodulator. In some examples, UE 120 includes a transceiver. The transceiver may include any combination of antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, and / or TX MIMO processor 266. The transceiver may be used by a processor (e.g., controller / processor 280) and a memory 282 to execute this document (e.g., refer to Figures 5 to 10). Figure 10 ( ) any aspect of the methods described in the method.

[0057] At network node 110, uplink signals from UE 120 and / or other UEs may be received by antenna 234, processed by modem 232 (e.g., demodulator component of modem 232 (shown as DEMOD)), detected by MIMO detector 236, and further processed by receiver processor 238 to obtain decoded data and control information transmitted by UE 120. Receiver processor 238 may provide the decoded data to data sink 239 and the decoded control information to controller / processor 240. Network node 110 may include communication unit 244 and may communicate with network controller 130 via communication unit 244. Network node 110 may include scheduler 246 to schedule one or more UEs 120 for downlink and / or uplink communication. In some examples, modem 232 of network node 110 may include modulator and demodulator. In some examples, network node 110 includes transceiver. The transceiver may include any combination of antenna 234, modem 232, MIMO detector 236, receive processor 238, transmit processor 220, and / or TX MIMO processor 230. The transceiver may be used by a processor (e.g., controller / processor 240) and memory 242 to execute this document (e.g., referring to Figures 5 to 10). Figure 10 ( ) any aspect of the methods described in the method.

[0058] The controller / processor 240 of network node 110, the controller / processor 280 of UE 120 and / or Figure 2 Any other component may perform one or more techniques associated with data rendering at the edge device or network node, as described in more detail elsewhere herein. In some respects, the edge device described herein is UE 120, included in UE 120, or comprising Figure 2 One or more components of the UE 120 shown. For example, the controller / processor 240 of network node 110, the controller / processor 280 of UE 120, and / or Figure 2 Any other component that can execute or direct, for example Figure 7 Process 700 Figure 8 The operation of process 800 and / or other processes as described herein. Memory 242 and memory 282 may store data and program code for network node 110 and UE 120, respectively. In some examples, memory 242 and / or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code and / or program code) for wireless communication. For example, the one or more instructions may cause the one or more processors, UE 120 and / or network node 110 to perform or direct, for example, when executed by one or more processors of network node 110 and / or UE 120 (e.g., directly, or after compilation, transformation and / or interpretation). Figure 7 Process 700 Figure 8 The operation of process 800 and / or other processes as described herein. In some examples, the execution instructions may include run instructions, transform instructions, compile instructions and / or interpret instructions, etc.

[0059] In some aspects, the edge device (e.g., UE 120) includes: components for obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and / or components for generating or receiving the output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at a network node if the conditions are not met. In some aspects, components for the edge device (e.g., UE 120) to perform the operations described herein may include one or more of, for example, a communication manager 140, an antenna 252, a modem 254, a MIMO detector 256, a receive processor 258, a transmit processor 264, a TX MIMO processor 266, a controller / processor 280, or a memory 282.

[0060] In some aspects, network node 110 includes: components for obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and / or components for generating or receiving the output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at a network node if the conditions are not met. Components for network node 110 to perform the operations described herein may include, for example, one or more of a communication manager 150, a transmit processor 220, a TX MIMO processor 230, a modem 232, an antenna 234, a MIMO detector 236, a receive processor 238, a controller / processor 240, a memory 242, or a scheduler 246.

[0061] In some respects, a single processor can perform all the functions described as being performed by that one or more processors. In other respects, the one or more processors can jointly perform a set of functions. For example, a first group(s) of the one or more processors can perform a first function described as being performed by that one or more processors, and a second group(s) of the one or more processors can perform a second function described as being performed by that one or more processors. The first group and the second group of processors can be the same group of processors or can be different groups of processors. The reference to "one or more processors" should be understood as referring to a combination of functions. Figure 2 Any one or more processors described. The reference to "one or more memories" should be understood to refer to any one or more memories of the corresponding device, such as those in conjunction with... Figure 2 The memory described. For example, a function described as being performed by one or more memories can be performed by the same subset of the one or more memories or by different subsets of the one or more memories.

[0062] Although Figure 2 The boxes in the diagram are illustrated as different components, but the functions described above with respect to these boxes may be implemented in a single hardware, software, or combined component, or in various combinations of components. For example, the functions described with respect to transmit processor 264, receive processor 258, and / or TX MIMO processor 266 may be performed by or under the control of controller / processor 280.

[0063] As indicated above, Figure 2 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 2 The examples described are different.

[0064] The deployment of communication systems such as 5G NR systems can be arranged in a variety of ways using various components or parts. In a 5G NR system or network, network nodes, network entities, network mobility elements, RAN nodes, core network nodes, network elements, base stations, or network equipment can be implemented in either a converged or decomposed architecture. For example, a base station (such as a Node B (NB), evolved NB (eNB), NR base station, 5G NB, access point (AP), TRP, or cell, etc.) or one or more units (or components) performing base station functionality can be implemented as a converged base station (also known as a standalone base station or monolithic base station) or a decomposed base station. A "network entity" or "network node" can refer to a decomposed base station or one or more units of a decomposed base station (such as one or more CUs, one or more DUs, one or more RUs, or combinations thereof).

[0065] Aggregated base stations (e.g., aggregated network nodes) can be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node (e.g., within a single device or cell). Decomposed base stations (e.g., decomposed network nodes) can be configured to utilize a protocol stack that is physically or logically distributed across two or more cells (such as one or more CUs, one or more DUs, or one or more RUs). In some examples, the CU may be implemented within a network node, and one or more DUs may be co-located with the CU, or alternatively, may be geographically or virtually distributed across one or more other network nodes. DUs may be implemented to communicate with one or more RUs. Each of the CU, DU, and RU can also be implemented as a virtual cell, such as a Virtual Central Unit (VCU), a Virtual Distributed Unit (VDU), or a Virtual Radio Unit (VRU), etc.

[0066] Base station type operation or network design can take into account the aggregation characteristics of base station functionality. For example, decomposed base stations can be utilized in IAB networks, Open Radio Access Networks (O-RAN (such as network configurations initiated by the O-RAN Alliance)), or Virtualized Radio Access Networks (vRAN, also known as Cloud Radio Access Networks (C-RAN)) to facilitate the scaling of communication systems by separating base station functionality into one or more units that can be deployed individually. Decomposed base stations can include functionality implemented across two or more units at various physical locations, as well as functionality virtually implemented for at least one unit, which enables flexibility in network design. Each unit of a decomposed base station can be configured for wired or wireless communication with at least one other unit of the decomposed base station.

[0067] Figure 3This is an illustration of an example disaggregated base station architecture 300 according to the present disclosure. The disaggregated base station architecture 300 may include a CU 310, which may communicate directly with the core network 320 via a backhaul link, or indirectly with the core network 320 via one or more disaggregated control units (such as near-RT RIC 325 via an E2 link, or a non-RT RIC 315 associated with a Service Management and Orchestration (SMO) framework 305, or both). The CU 310 may communicate with one or more DUs 330 via a corresponding midhaul link (such as via an F1 interface). Each DU 330 may communicate with one or more RUs 340 via a corresponding fronthaul link. Each RU 340 may communicate with one or more UEs 120 via a corresponding radio frequency (RF) access link. In some implementations, a UE 120 may be served simultaneously by multiple RUs 340.

[0068] Each unit in the cells (including CU 310, DU 330, RU 340), as well as the near-RT RIC 325, non-RT RIC 315, and SMO frame 305, may include or be coupled to one or more interfaces configured to receive or transmit signals, data, or information (collectively, signals) via wired or wireless transmission media. Each unit in the cell, or an associated processor or controller providing instructions to one or more communication interfaces of the corresponding unit, may be configured to communicate with one or more units in other cells via transmission media. In some examples, each unit in the cell may include a wired interface and a wireless interface configured to receive signals or transmit signals to one or more units in other cells via a wired transmission media, and the wireless interface may include a receiver, transmitter, or transceiver (such as an RF transceiver) configured to receive signals or transmit signals to one or more units in other cells via a wireless transmission media, or both.

[0069] In some aspects, the CU 310 can host one or more higher-level control functions. Such control functions may include Radio Resource Control (RRC) functions, Packet Data Convergence Protocol (PDCP) functions, or Service Data Adaptation Protocol (SDAP) functions, etc. Each control function can be implemented using an interface configured to signal to other control functions managed by the CU 310. The CU 310 can be configured to handle user plane functions (e.g., Central Unit-User Plane (CU-UP) functions), control plane functions (e.g., Central Unit-Control Plane (CU-CP) functions), or combinations thereof. In some implementations, the CU 310 can be logically divided into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, the CU-UP units can communicate bidirectionally with the CU-CP units via an interface such as an E1 interface. The CU 310 can be implemented to communicate with the DU 330 for network control and signaling purposes, as needed.

[0070] Each DU 330 may correspond to a logical unit comprising one or more base station functions for controlling the operation of one or more RU 340s. In some aspects, the DU 330 may host one or more of the Radio Link Control (RLC) layer, Medium Access Control (MAC) layer, and one or more high physical (PHY) layers, at least in part, according to functional splits (such as those defined by 3GPP). In some aspects, the one or more high PHY layers may be implemented by one or more modules for forward error correction (FEC) encoding and decoding, scrambling, and modulation and demodulation, etc. In some aspects, the DU 330 may also host one or more low PHY layers, such as those implemented by one or more modules for Fast Fourier Transform (FFT), Inverse FFT (iFFT), Digital Beamforming, or Physical Random Access Channel (PRACH) extraction and filtering, etc. Each layer (which may also be referred to as a module) may be implemented using an interface configured to communicate signals with other layers (and modules) hosted by the DU 330 or with control functions hosted by the CU 310.

[0071] Each RU 340 can implement low-level functionality. In some deployments, an RU 340 controlled by a DU 330 can correspond to a logical node that hosts RF processing functions or low-PHY layer functions, such as performing FFT, performing iFFT, digital beamforming, or PRACH extraction and filtering, based on function splitting (e.g., function splitting defined by 3GPP) (such as low-level function splitting). In such architectures, each RU 340 can be operated to handle over-the-air (OTA) communications with one or more UEs 120. In some specific implementations, the real-time and non-real-time aspects of control plane and user plane communications with the RU 340 can be controlled by the corresponding DU 330. In some scenarios, this configuration allows each DU 330 and CU 310 to be implemented in a cloud-based RAN architecture, such as a vRAN architecture.

[0072] The SMO framework 305 can be configured to support RAN deployment and provisioning of both non-virtualized and virtualized network elements. For non-virtualized network elements, the SMO framework 305 can be configured to support the deployment of dedicated physical resources for RAN coverage requirements, which can be managed via operation and maintenance interfaces such as the O1 interface. For virtualized network elements, the SMO framework 305 can be configured to interact with cloud computing platforms such as the Open Cloud (O-Cloud) platform 390 to perform network element lifecycle management (such as instantiating virtualized network elements) via cloud computing platform interfaces such as the O2 interface. Such virtualized network elements may include, but are not limited to, CU 310, DU 330, RU 340, non-RT RIC 315, and near-RTTRIC 325. In some specific implementations, the SMO framework 305 may communicate with 4G RAN hardware aspects such as the Open eNB (O-eNB) 311 via the O1 interface. Additionally, in some implementations, the SMO framework 305 can communicate directly with each of one or more RUs 340 via a corresponding O1 interface. The SMO framework 305 may also include a non-RT RIC 315 configured to support the functionality of the SMO framework 305.

[0073] The non-RT RIC 315 can be configured to include logical functions that enable non-real-time control and optimization of RAN elements and resources, including artificial intelligence / machine learning (AI / ML) workflows for model training and updates, or policy-based guidance for applications / features in the near-RT RIC 325. The non-RT RIC 315 can be coupled to or communicate with the near-RT RIC 325, such as via an A1 interface. The near-RT RIC 325 can be configured to include logical functions that enable near real-time control and optimization of RAN elements and resources via an interface, such as an E2 interface, through data collection and actions, connecting one or more CU 310s, one or more DU 330s, or both, and O-eNBs to the near-RT RIC 325.

[0074] In some implementations, to generate AI / ML models to be deployed in the near-RT RIC 325, the non-RT RIC 315 may receive parameters or external enrichment information from an external server. This information can be utilized by the near-RT RIC 325 and may be received from non-network data sources or network functions at the SMO framework 305 or the non-RT RIC 315. In some examples, the non-RT RIC 315 or near-RT RIC 325 may be configured to tune RAN behavior or performance. For example, the non-RT RIC 315 may monitor long-term trends and patterns in performance and employ AI / ML models to perform corrective actions via the SMO framework 305 (such as reconfiguration via the O1 interface) or via the creation of RAN management policies (such as A1 interface policies).

[0075] As indicated above, Figure 3 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 3 The examples described are different.

[0076] Figure 4This is a diagram illustrating example 400 of extended reality communication according to this disclosure. Network node 110 can communicate with edge device 405. Edge device 405 can be any device configured to perform XR communication. In one example, edge device 405 can be UE 120, and UE 120 can communicate with XR device 410. In another example, edge device 405 can be XR device 410 communicating with UE 120. In yet another example, edge device 405 can be a device including UE 120 and XR device 410, or including one or more features of UE 120 and XR device 410. As indicated by reference numeral 415, edge device 405 can transmit sensor information, and network node 110 can receive such sensor information. Sensor information may include sensor information associated with one or more applications (such as video game applications) operating on edge device 405. As indicated by reference numeral 420, network node 110 can transmit data, and edge device 405 can receive such data. The data may be, for example, image data and / or video data associated with one or more applications operating on the edge device 405.

[0077] Data rendering may include transforming raw data into a digital representation of the data. For example, in the context of image data, data rendering may include generating pixel-based graphics representing the image, and in the context of video data, data rendering may include sequential rendering of frames to produce a dynamic visual sequence. In some cases, data rendering may be performed at network node 110. Performing data rendering at network node 110 may allow for the generation of higher quality image and video data, for example, because the rendering capabilities at network node 110 are more powerful than those at edge device 405, and / or may enable reduced power consumption at edge device 405. However, performing data rendering at network node 110 may require greater downlink bandwidth for image and video data transmission, and / or may result in increased uplink or downlink transmission latency. In some other cases, data rendering may be performed at edge device 405. Performing data rendering at edge device 405 may require less downlink bandwidth for image and video data transmission, and / or may reduce uplink and downlink transmission latency. However, performing data rendering at edge device 405 may result in lower quality image and video data generation, and / or may consume significant power resources at edge device 405. In some cases, performing data rendering at network node 110 may be beneficial, and in some other cases, performing data rendering at edge device 405 may be beneficial. However, network node 110 and edge device 405 may not be configured to communicate information indicating where data rendering should be performed. This may result in reduced image or video quality, increased power consumption at edge device 405, increased network bandwidth requirements, and / or increased latency in uplink and downlink communication.

[0078] Generative artificial intelligence (AI) is a promising technology for generating images and / or videos. Many different models can be designed for different tasks. For example, a stable diffusion model can be configured to generate images based on one or more text prompts. In some cases, edge device 405 may have the capability to enable such generative models. For example, a cellular phone can be configured to perform stable diffusion to generate images at least in part based on a seed and / or prompt. The seed can be associated with the initial input to the data, while the prompt can be associated with features to be included in the output of the data rendering operation. In some cases, generative AI models can be used to perform data rendering. When edge device 405 is equipped with AI capabilities, edge-side rendering can be available, and rendering performance can be improved. In the example of stable diffusion, on the edge device side, given the prompt "photo pour Japanese pagoda and old house in Kyoto at twilight - imagelibre de droit", the model can output the corresponding image. In this example, network node 110 may not need to transmit the image.

[0079] In some cases, without generative AI, data rendering at edge device 405 can rely on the edge device's specific implementation. While the rendering may not be high-quality, the content can be largely consistent with expectations, and network node 110 may not need to control the rendering operation. In some cases, even when the same prompt is used as input, generative AI can generate different rendered outputs. For example, using the same prompt and the same model, different seeds can produce different outputs. In this case, network node 110 can monitor the rendering process and provide input for the final content to be displayed at edge device 405.

[0080] As indicated above, Figure 4 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 4 The examples described are different.

[0081] Figures 5A to 5D This is an illustration of example 500 of data rendering at an edge device or network node according to this disclosure.

[0082] like Figure 5AAs shown by reference numeral 502 in the accompanying drawings, edge device 405 and / or network node 110 can obtain conditions associated with data rendering operations. In some aspects, the conditions may be channel quality metrics. For example, the conditions may be signal-to-noise ratio (SNR), signal-to-interference-plus-noise ratio (SINR), channel quality indicator (CQI), or reference signal received power (RSRP). In some aspects, the conditions may be the location of edge device 405. For example, the conditions may be based on whether edge device 405 is located within or outside the coverage area of ​​network node 110. In some aspects, the conditions may be the speed of edge device 405. For example, the conditions may be based on whether the speed of edge device 405 is faster or slower than a speed threshold. In some aspects, the conditions may be the amount of available downlink resources. For example, the conditions may be based on the number of resource blocks used for downlink transmission or the downlink transmission delay.

[0083] As indicated by reference numeral 504 in the accompanying drawings, edge device 405 and / or network node 110 may identify whether conditions are met. In some aspects, identifying whether conditions are met may include identifying whether channel quality metrics are met. For example, edge device 405 and / or network node 110 may identify whether SNR conditions, SINR conditions, CQI conditions, and / or RSRP conditions are met. In some aspects, identifying whether conditions are met may include identifying whether edge device 405 location conditions are met. For example, edge device 405 and / or network node 110 may identify whether edge device 405 is within the coverage area of ​​network node 110. In some aspects, identifying whether conditions are met may include identifying whether edge device 405 speed conditions are met. For example, edge device 405 and / or network node 110 may compare the speed of edge device 405 to a speed threshold to determine whether edge device 405 is traveling at a speed less than or greater than the speed threshold. In some aspects, identifying whether conditions are met may include identifying whether the available downlink resource quantity condition is met. For example, edge device 405 and / or network node 110 can identify whether there are sufficient resource blocks for performing downlink transmission and / or whether there is an acceptable latency level for performing downlink transmission.

[0084] As shown by reference numeral 506 in the attached figure, edge device 405 can perform data rendering operations based on satisfied conditions. For example, edge device 405 can perform data rendering operations based on satisfying a channel quality metric threshold, satisfying a location threshold based on the location of edge device 405 (e.g., within the coverage area of ​​network node 110), satisfying a speed threshold based on the speed of edge device 405 (e.g., traveling at a speed exceeding ten kilometers per hour), and / or satisfying a threshold number of available downlink resources based on the amount of available downlink resources.

[0085] As shown by reference numeral 508 in the attached figure, network node 110 can perform data rendering operations based on conditions that are not met. For example, network node 110 can perform data rendering operations based on the channel quality metric not meeting a channel quality metric threshold and / or based on the number of available downlink resources not meeting a threshold number of available downlink resources. In some aspects, edge device data rendering can be associated with higher SNR, higher modulation and decoding scheme (MCS), fewer Hybrid Automatic Repeat Request (HARQ) transmissions, fewer downlink resources, and lower communication latency.

[0086] As indicated by reference numeral 510 in the accompanying drawings, edge device 405 and / or network node 110 can convey information associated with a data rendering operation. For example, when performing a data rendering operation according to network node 110, network node 110 can send the output of the data rendering operation to edge device 405. Additionally or alternatively, when performing a data rendering operation according to edge device 405, edge device 405 can send information associated with the data rendering operation to network node 110. In some aspects, network node data rendering can be associated with lower SNR, higher downlink resource usage, and higher communication latency.

[0087] In some aspects, for example, such as combination Figure 5B As described by reference numerals 512, 514, 516, 518, 520 and 522, data rendering can (at least partially) be controlled by network node 110.

[0088] As shown by reference numeral 512 in the accompanying drawings, network node 110 can send a generative AI model configuration, and edge device 405 can receive this configuration. In some aspects, network node 110 can send the generative AI model configuration to edge device 405 before network node 110 identifies whether conditions are met (e.g., as described in conjunction with reference numeral 504). In some aspects, for example, during XR initialization (e.g., establishing a network connection), network node 110 can configure the generative AI model to edge device 405. The generative AI model can be associated with a specific application, such as an XR video game.

[0089] As shown by reference numeral 514 in the attached figure, network node 110 can send an instruction for edge device rendering, and edge device 405 can receive the instruction. For example, network node 110 can send an edge device rendering instruction based on conditions identified by network node 110 (using generative AI).

[0090] As shown by reference numeral 516 in the attached figure, edge device 405 can send sensor information, and network node 110 can receive this sensor information. For example, edge device 405 can send sensor information specific to an application associated with a generative AI model configuration.

[0091] As shown by reference numeral 518 in the accompanying drawings, network node 110 can send an edge device rendering configuration, and edge device 405 can receive the edge device rendering configuration. The edge device rendering configuration may include one or more parameters for edge device 405 to perform edge device rendering.

[0092] As shown by reference numeral 520 in the attached figure, edge device 405 can send updated sensor information, and network node 110 can receive the updated sensor information. For example, edge device 405 can send updated sensor information for applications associated with generative AI model configuration.

[0093] As shown by reference numeral 522 in the accompanying drawings, network node 110 can send an updated edge device rendering configuration, and edge device 405 can receive the updated edge device rendering configuration. The updated edge device configuration may include one or more updated parameters for edge device 405 to perform edge device rendering. The one or more updated parameters may be based at least in part on updated sensor information.

[0094] In some aspects, for edge device rendering configurations, network node 110 can configure seeds and hints. Seeds can be associated with the initial input to the data. In some examples, seeds can be used to increase the likelihood that the generated image is aligned based on anomalies. Hints can be associated with features to be included in the output of the data rendering operation. In some examples, hints can be textual prompts for controlling the content of the generated image.

[0095] In some respects, image generation can be performed in multiple steps (e.g., iterations). For example, a greater number of steps can produce higher image quality associated with data rendering. However, this can also lead to greater latency. In some respects, network node 110 can send the minimum number of steps to be used for the data rendering operation ( The edge device 405 can receive this minimum number of steps. The minimum number of steps can be associated with the minimum quality of the image to be generated. The edge device 405 can perform data rendering based on the minimum number of steps. For example, the edge device 405 can perform a certain number of steps for data rendering based on latency requirements and the minimum number of steps (e.g., where the number of steps is greater than the minimum number of steps). Figure 6 Additional details about these characteristics are described.

[0096] In some examples, such as in XR applications, one or more static modes and one or more periodic modes can be configured for downlink resource transmission. Periodic modes may include, for example, consecutive symbols or time slots for large data transmissions. For edge device rendering, the downlink service may be a rendering configuration that may not require large resource allocations in the downlink. However, the configuration will be delivered to the edge device 405 over a period of time, and periodic modes may introduce latency.

[0097] In some respects, edge device rendering configuration may be included in downlink control information (DCI), media access control (MAC) control element (CE) (MAC-CE), and / or radio resource control (RRC) messages. For example, one or more bits in the DCI may indicate whether edge device rendering is enabled, one or more bits in the DCI may indicate whether there is a prompt for the generation of new images or videos, and one or more bits in the MAC-CE or RRC message may include prompt information.

[0098] In some respects, the seed can be configured for each image or video generated (e.g., along with the cue configuration). In other respects, the seed can be the same seed after XR initialization. In some respects, the cue can be updated for each new image or video generated. Alternatively, if no new image or video is generated, a blank indicator can be sent to the edge device 405.

[0099] In some aspects, for example, such as combination Figure 5C As described by reference numerals 524, 526, 528, 530, 532 and 534, data rendering can be performed by edge device 405 according to instructions from network node 110.

[0100] As shown by reference numeral 524 in the accompanying drawings, network node 110 can send a generative AI model configuration, and edge device 405 can receive the generative AI model configuration. Network node 110 can send the generative AI model configuration to edge device 405 before edge device 405 and / or network node 110 identifies whether conditions are met (e.g., as described in conjunction with reference numeral 504).

[0101] As shown by reference numeral 526 in the accompanying drawings, network node 110 can send an instruction for edge device 405 to perform a data rendering operation, and edge device 405 can receive the instruction. For example, network node 110 can send an edge device rendering instruction (using generative AI) based on conditions identified by network node 110.

[0102] As shown by reference numeral 528 in the attached figure, the edge device 405 can use a first seed (seed 1) and a first hint (hint 1) to perform data rendering.

[0103] As shown by reference numeral 530 in the attached figure, the edge device 405 can use a second seed (seed 2) and a second hint (hint 2) to perform data rendering.

[0104] As shown by reference numeral 532 in the attached figure, the edge device 405 can use a third seed (seed 3) and a third hint (hint 3) to perform data rendering.

[0105] As shown by reference numeral 534 in the attached figure, the edge device 405 can send instructions for a first seed, instructions for a second seed, instructions for a third seed, instructions for a first prompt, instructions for a second prompt, and / or instructions for a third prompt, and the network node 110 can receive these instructions.

[0106] In some aspects, for example, such as combination Figure 5D As described by reference numerals 536, 538, 540, 542, 544, 546, and 548, data rendering can be performed by edge device 405 based on a request made by edge device 405. In this example, the generative AI model can be initialized after the connection is established, and edge device 405 can be configured before sending a request to perform a data rendering operation at edge device 405. Alternatively, the generative AI model can be configured after edge device 405 sends a request to perform a data rendering operation at edge device 405.

[0107] As shown by reference numeral 536 in the attached figure, edge device 405 can send a request to perform a data rendering operation at edge device 405, and network node 110 can receive the request. For example, edge device 405 can send a request to perform a data rendering operation based on met conditions.

[0108] As shown by reference numeral 538 in the attached figure, the edge device 405 can send an indication of a first seed (seed 1) to be used for the first data rendering operation and an indication of a first prompt (prompt 1) to be used for the first data rendering operation, and the network node 110 can receive these indications.

[0109] As shown by reference numeral 540 in the attached figure, the edge device 405 can use the first seed and the first cue to perform a first data rendering operation.

[0110] As shown by reference numeral 542 in the attached figure, the edge device 405 can send an indication of a second seed (seed 2) to be used for the second data rendering operation and an indication of a second prompt (prompt 2) to be used for the second data rendering operation, and the network node 110 can receive these indications.

[0111] As shown by reference numeral 544 in the attached figure, the edge device 405 can use a second seed and a second hint to perform a second data rendering operation.

[0112] As shown by reference numeral 546 in the attached figure, the edge device 405 can send an indication of a third seed (seed 3) to be used for the third data rendering operation and an indication of a third prompt (prompt 3) to be used for the third data rendering operation, and the network node 110 can receive these indications.

[0113] As shown by reference numeral 548 in the attached figure, the edge device 405 can use a third seed and a third hint to perform a third data rendering operation.

[0114] As indicated above, Figures 5A to 5D This is provided as an example. Other examples are available with reference to [the relevant information]. Figures 5A to 5D The examples described are different.

[0115] Figure 6 These are illustrations of examples 600 and 605 illustrating parameters for data rendering according to this disclosure. As shown in example 600, the AI ​​generation component 610 can be configured using a seed 615 and a cue 620. The seed 615 can be a random value used to increase the probability of reproducibility. For example, the same seed may produce the same set of random numbers or results during subsequent executions. In the context of the AI ​​model and data rendering, the seed 615 may influence the initial conditions or parameters of the generative model, which may affect the generated content. The cue 620 can be a specific set of inputs or instructions provided to the generative model, particularly in natural language processing tasks. For example, when using a language model to generate text, the cue 620 may be a word or set of words that guides the model in generating coherent and context-sensitive text. In the context of image or video data rendering, the cue 620 may specify the desired characteristics or features to be presented in the generated visual content. The AI ​​generation component 610 can generate an output 625 based on the seed 615 and the cue 620. In one example, network node 110 may send the minimum number of steps to be used for the data rendering operation ( The edge device 405 can receive the minimum number of steps. For example, network node 110 can indicate that the minimum number of steps for the data rendering operation will be three steps. The edge device 405 can execute a certain number of steps for the data rendering operation based on the minimum number of steps and the latency requirements. For example, the edge device 405 can determine that the maximum number of steps will be six steps based on the latency requirements. Therefore, the edge device can perform a data rendering operation including four steps or including five steps. As shown by reference numeral 605, the AI ​​generation component 610 (which may be included at network node 110 and / or edge device 405) can perform a first denoising operation 630 (step one), a second denoising operation 635 (step two), a third denoising operation 640 (step three), and a fourth denoising operation 645 (step four). The output of the fourth denoising operation 645 can be input to the decoder 650.

[0116] As indicated above, Figure 6 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 6 The examples described are different.

[0117] Figure 7 This is a diagram illustrating an example process 700 performed, for example, at an edge device or an edge device apparatus according to this disclosure. Example process 700 is an example in which an apparatus or edge device (e.g., edge device 405) performs operations associated with data rendering at an edge device or network node.

[0118] like Figure 7 As shown, in some aspects, process 700 may include obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data (box 710). For example, an edge device (e.g., using...) Figure 9 The receiving component 902 and / or communication manager 906 described herein can obtain conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data, as described above.

[0119] like Figure 7 As further shown, in some aspects, process 700 may include generating or receiving the output of a data rendering operation based on conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at a network node if the conditions are not met (box 720). For example, the edge device (e.g., using...) Figure 9The receiving component 902 and / or communication manager 906 described herein may generate or receive the output of a data rendering operation based on conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met, as described above.

[0120] Process 700 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere in this document.

[0121] In the first aspect, generating or receiving the output of a data rendering operation based on conditions includes generating the output of a data rendering operation based on the fulfillment of conditions, or receiving the output of a data rendering operation from a network node based on the non-fulfillment of conditions.

[0122] In the second aspect, either alone or in combination with the first aspect, process 700 includes identifying whether a condition is met, wherein identifying whether a condition is met includes: identifying whether a channel quality metric condition is met, identifying whether an edge device location condition is met, identifying whether an edge device speed condition is met, or identifying whether a downlink resource availability condition is met.

[0123] In a third aspect, either alone or in combination with one or more of the first and second aspects, process 700 includes: receiving a generative artificial intelligence model configuration; receiving an instruction for performing a data rendering operation on an edge device based on satisfied conditions; and performing the data rendering operation using the generative artificial intelligence model configuration.

[0124] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, process 700 includes: transmitting sensor information associated with the data; and receiving an updated generative artificial intelligence model configuration based on the sensor information.

[0125] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, receiving a generative artificial intelligence model configuration includes receiving at least one of a seed or a prompt, wherein the seed is associated with an initial input to the data, and the prompt is associated with a feature to be included in the output of the data rendering operation.

[0126] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, the generative artificial intelligence model configuration indicates the minimum number of steps required for data rendering operations.

[0127] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, process 700 includes performing a certain number of steps for the data rendering operation according to latency requirements and according to the minimum number of steps for the data rendering operation.

[0128] In the eighth aspect, receiving a generative artificial intelligence model configuration, either alone or in combination with one or more of the first to seventh aspects, includes receiving at least one of a downlink control information, a media access control message, or a radio resource control message that includes the generative artificial intelligence model configuration, wherein a bit included in the downlink control information indicates whether a data rendering operation is enabled at the edge device, wherein another bit included in the downlink control information indicates the occurrence of a prompt associated with the data, or wherein a bit included in the media access control message or the radio resource control message indicates information associated with a prompt.

[0129] In the ninth aspect, either alone or in combination with one or more of the first to eighth aspects, process 700 includes receiving at least one of the seeds or hints for each of a plurality of data rendering operations to be performed on the data.

[0130] In the tenth aspect, individually or in combination with one or more of the first to ninth aspects, each of the multiple data rendering operations to be performed on the data is at least partially based on the same seed.

[0131] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, process 700 includes: receiving an updated prompt for each of a plurality of data rendering operations to be performed on data; or receiving an indication that the prompt has not yet been updated for any of the plurality of data rendering operations to be performed on data.

[0132] In the twelfth aspect, alone or in combination with one or more of the first to eleventh aspects, process 700 includes: identifying the execution of a data rendering operation at an edge device based on the fulfillment of a condition; and sending a seed and a prompt to a network node based on the identification of the execution of the data rendering operation at the edge device.

[0133] In the thirteenth aspect, alone or in combination with one or more of the first to twelfth aspects, process 700 includes: performing a plurality of data rendering operations on data, wherein each of the plurality of data rendering operations is associated with a seed and a hint; and sending a plurality of seeds and a plurality of hints to network nodes based on the plurality of data rendering operations.

[0134] In the fourteenth aspect, alone or in combination with one or more of the first to thirteenth aspects, process 700 includes sending a request to a network node to perform a data rendering operation at an edge device based on the fulfillment of conditions.

[0135] In the fifteenth aspect, alone or in combination with one or more of the first to fourteenth aspects, process 700 includes: sending a seed and a hint to be used for a data rendering operation on the data; and using the seed and the hint to perform the data rendering operation.

[0136] In the sixteenth aspect, alone or in combination with one or more of the first to fifteenth aspects, process 700 includes: sending another seed and another prompt for another data rendering operation on the data; and using the other seed and another prompt to perform another data rendering operation.

[0137] although Figure 7 An example box of process 700 is shown, but in some respects, process 700 may include... Figure 7 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 700 may be executed in parallel.

[0138] Figure 8 This is a diagram illustrating an example process 800 performed, for example, at a network node or a device of a network node, according to the present disclosure. Example process 800 is an example in which a device or network node (e.g., network node 110) performs operations associated with data rendering at an edge device or network node.

[0139] like Figure 8 As shown, in some aspects, process 800 may include obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data (box 810). For example, a network node (e.g., using...) Figure 10 The receiving component 1002 and / or communication manager 1006 described herein can obtain conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data, as described above.

[0140] like Figure 8 As further shown, in some aspects, process 800 may include generating or receiving the output of a data rendering operation based on conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at a network node if the conditions are not met (box 820). For example, a network node (e.g., using...) Figure 10 The communication manager 1006 described above can generate or receive the output of a data rendering operation based on conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met, as described above.

[0141] Process 800 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere in this document.

[0142] In the first aspect, generating or receiving the output of a data rendering operation based on conditions includes receiving the output of a data rendering operation from an edge device based on whether the conditions are met, or generating the output of a data rendering operation based on whether the conditions are not met.

[0143] In a second aspect, either alone or in combination with the first aspect, process 800 includes identifying whether a condition is met, wherein identifying whether a condition is met includes: identifying whether a channel quality metric condition is met, identifying whether an edge device location condition is met, identifying whether an edge device speed condition is met, or identifying whether a downlink resource availability condition is met.

[0144] In a third aspect, either alone or in combination with one or more of the first and second aspects, process 800 includes: sending a generative artificial intelligence model configuration; and sending an instruction for performing data rendering operations on an edge device based on satisfied conditions.

[0145] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, process 800 includes: receiving sensor information associated with data; and sending an updated generative artificial intelligence model configuration based on the sensor information.

[0146] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, sending a generative artificial intelligence model configuration includes sending at least one of a seed or a prompt, wherein the seed is associated with an initial input to the data, and the prompt is associated with a feature to be included in the output of the data rendering operation.

[0147] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, the generative artificial intelligence model configuration indicates the minimum number of steps required for data rendering operations.

[0148] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, transmitting the generative artificial intelligence model configuration includes transmitting at least one of downlink control information, media access control message, or radio resource control message including the generative artificial intelligence model configuration, wherein a bit included in the downlink control information indicates whether a data rendering operation is enabled at the edge device, wherein another bit included in the downlink control information indicates the occurrence of a prompt associated with the data, or wherein a bit included in the media access control message or the radio resource control message indicates information associated with the prompt.

[0149] In the eighth aspect, either alone or in combination with one or more of the first to seventh aspects, process 800 includes sending at least one of the seeds or hints for each of a plurality of data rendering operations to be performed on the data.

[0150] In the ninth aspect, individually or in combination with one or more of the first to eighth aspects, each of the multiple data rendering operations to be performed on the data is at least partially based on the same seed.

[0151] In the tenth aspect, either alone or in combination with one or more of the first to ninth aspects, process 800 includes: sending an updated prompt for each of a plurality of data rendering operations to be performed on the data; or sending an indication that the prompt has not yet been updated for any of the plurality of data rendering operations to be performed on the data.

[0152] In the eleventh aspect, alone or in combination with one or more of the first to tenth aspects, process 800 includes receiving a seed and a prompt based on performing a data rendering operation at the edge device.

[0153] In the twelfth aspect, either alone or in combination with one or more of the first to eleventh aspects, process 800 includes receiving multiple seeds and multiple prompts from the edge device based on multiple data rendering operations performed by the edge device.

[0154] In the thirteenth aspect, alone or in combination with one or more of the first to twelfth aspects, process 800 includes receiving a request from the edge device to perform a data rendering operation at the edge device based on the fulfillment of conditions.

[0155] In the fourteenth aspect, alone or in combination with one or more of the first to thirteenth aspects, process 800 includes: receiving, via a first communication, a seed and a prompt to be used by the edge device for a first data rendering operation; and receiving, via a second communication, another seed and another prompt to be used by the edge device for a second data rendering operation.

[0156] although Figure 8 An example box of process 800 is shown, but in some respects, process 800 may include... Figure 8 The boxes depicted in the diagram may be fewer, different, or arranged differently than additional boxes. Alternatively, two or more boxes in the process 800 may be executed in parallel.

[0157] Figure 9This is a diagram of an example device 900 for wireless communication according to the present disclosure. Device 900 may be an edge device, or an edge device may include device 900. An edge device may be, for example, edge device 405. In some aspects, device 900 includes a receiving component 902, a transmitting component 904, and / or a communication manager 906 that can communicate with each other (e.g., via one or more buses and / or one or more other components). In some aspects, the communication manager 906 is combined with... Figure 1 The described communication manager 140. As shown, device 900 can communicate with another device 908 (such as a UE or a network node (such as a CU, DU, RU or base station)) using receiving component 902 and transmitting component 904.

[0158] In some respects, device 900 can be configured to perform the functions described herein in conjunction with Figures 5 to 6. Figure 6 One or more operations described herein. Additionally or alternatively, device 900 may be configured to perform one or more processes described herein, such as Figure 7 The process is 700. In some respects, Figure 9 The illustrated device 900 and / or one or more components may include a combination Figure 2 One or more components of the described edge device. Additionally or alternatively, Figure 9 One or more components shown can be combined Figure 2 Implementation within one or more of the described components. Additionally or alternatively, one or more components in the set of components may be implemented at least partially as software stored in one or more memories. For example, a component (or a portion thereof) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by one or more controllers or one or more processors to perform the function or operation of the component.

[0159] Receiver 902 may receive communications from device 908, such as reference signals, control information, data communications, or combinations thereof. Receiver 902 may provide the received communications to one or more other components of device 900. In some aspects, receiver 902 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.), and may provide the processed signals to one or more other components of device 900. In some aspects, receiver 902 may include combinations of... Figure 2 The described edge device includes one or more antennas, one or more modems, one or more demodulators, one or more MIMO detectors, one or more receiver processors, one or more controllers / processors, one or more memories, or combinations thereof.

[0160] Transmitting component 904 can transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 908. In some aspects, one or more other components of device 900 can generate communications and provide the generated communications to transmitting component 904 for transmission to device 908. In some aspects, transmitting component 904 can perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and can transmit the processed signals to device 908. In some aspects, transmitting component 904 may include combinations of... Figure 2 The described edge device includes one or more antennas, one or more modems, one or more modulators, one or more transmit MIMO processors, one or more transmit processors, one or more controllers / processors, one or more memories, or combinations thereof. In some aspects, the transmit component 904 may co-located with the receive component 902 in one or more transceivers.

[0161] The communication manager 906 may support the operation of the receiving component 902 and / or the transmitting component 904. For example, the communication manager 906 may receive information associated with configuring the reception of communications by the receiving component 902 and / or the transmission of communications by the transmitting component 904. Additionally or alternatively, the communication manager 906 may generate control information and / or provide control information to the receiving component 902 and / or the transmitting component 904 to control the reception and / or transmission of communications.

[0162] The receiving component 902 can obtain the conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data. The communication manager 906 can generate or receive the output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met.

[0163] Communication manager 906 can identify whether conditions are met, including: whether channel quality metric conditions are met, whether edge device location conditions are met, whether edge device speed conditions are met, or whether downlink resource availability conditions are met. Receiving component 902 can receive generative artificial intelligence model configuration. Receiving component 902 can receive instructions for edge devices to perform data rendering operations based on the met conditions. Communication manager 906 can use the generative artificial intelligence model configuration to perform data rendering operations. Transmitting component 904 can transmit sensor information associated with the data. Receiving component 902 can receive updated generative artificial intelligence model configuration based on the sensor information.

[0164] The communication manager 906 can execute a certain number of steps for the data rendering operation based on latency requirements and the minimum number of steps required for the data rendering operation. The receiving component 902 can receive at least one of a seed or a hint for each of the multiple data rendering operations to be performed on the data. The receiving component 902 can receive an updated hint for each of the multiple data rendering operations to be performed on the data. The receiving component 902 can receive an indication that the hint has not yet been updated for any of the multiple data rendering operations to be performed on the data. The communication manager 906 can identify whether a data rendering operation is to be performed at the edge device based on met conditions. The sending component 904 can send a seed and a hint to the network node based on the identification that a data rendering operation is to be performed at the edge device. The communication manager 906 can perform multiple data rendering operations on the data, each of which is associated with a seed and a hint. The sending component 904 can send multiple seeds and multiple hints to the network node based on the multiple data rendering operations. The sending component 904 can send a request to the network node to perform a data rendering operation at the edge device based on met conditions. Sending component 904 can send a seed and a hint for a data rendering operation on the data. Communication manager 906 can use the seed and hint to perform the data rendering operation. Sending component 904 can send another seed and another hint for another data rendering operation on the data. Communication manager 906 can use another seed and another hint to perform another data rendering operation.

[0165] Figure 9 The number and arrangement of components shown are provided as an example. In practice, different arrangements may exist. Figure 9 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 9 The two or more components shown can be implemented within a single component, or Figure 9 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 9 The set (one or more) components shown are executable and described as being composed of Figure 9 The other set of components shown performs one or more functions.

[0166] Figure 10 This is a diagram of an example device 1000 for wireless communication according to the present disclosure. Device 1000 may be a network node, or a network node may include device 1000. In some aspects, device 1000 includes a receiving component 1002, a transmitting component 1004, and / or a communication manager 1006 that can communicate with each other (e.g., via one or more buses and / or one or more other components). In some aspects, communication manager 1006 is combined with... Figure 1 The described communication manager 150. As shown, device 1000 can communicate with another device 1008 (such as a UE or a network node (such as a CU, DU, RU or base station)) using receiving component 1002 and transmitting component 1004.

[0167] In some respects, device 1000 can be configured to perform the functions described herein in conjunction with Figures 5 to 6. Figure 6 One or more operations described herein. Additionally or alternatively, the apparatus 1000 may be configured to perform one or more processes described herein, such as Figure 8 The process is 800. In some respects, Figure 10 The illustrated device 1000 and / or one or more components may include a combination Figure 2 One or more components of the described network node. Additionally or alternatively, Figure 10 One or more components shown can be combined Figure 2 Implementation within one or more of the described components. Additionally or alternatively, one or more components in the set of components may be implemented at least partially as software stored in one or more memories. For example, a component (or a portion thereof) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by one or more controllers or one or more processors to perform the function or operation of the component.

[0168] Receiver 1002 may receive communications from device 1008, such as reference signals, control information, data communications, or combinations thereof. Receiver 1002 may provide the received communications to one or more other components of device 1000. In some aspects, receiver 1002 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) and may provide the processed signals to one or more other components of device 1000. In some aspects, receiver 1002 may include combinations of... Figure 2 The described network node may include one or more antennas, one or more modems, one or more demodulators, one or more MIMO detectors, one or more receiver processors, one or more controllers / processors, one or more memories, or combinations thereof. In some aspects, receiver component 1002 and / or transmitter component 1004 may include or be included in a network interface. The network interface may be configured to acquire and / or output signals from device 1000 via one or more communication links, such as backhaul links, midhaul links, and / or fronthaul links.

[0169] Transmitting component 1004 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1008. In some aspects, one or more other components of device 1000 may generate communications and provide the generated communications to transmitting component 1004 for transmission to device 1008. In some aspects, transmitting component 1004 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to device 1008. In some aspects, transmitting component 1004 may include combinations of... Figure 2 The described network node includes one or more antennas, one or more modems, one or more modulators, one or more transmit MIMO processors, one or more transmit processors, one or more controllers / processors, one or more memories, or combinations thereof. In some aspects, the transmit component 1004 may co-located with the receive component 1002 in one or more transceivers.

[0170] The communication manager 1006 may support the operation of the receiving component 1002 and / or the transmitting component 1004. For example, the communication manager 1006 may receive information associated with configuring the reception of communications by the receiving component 1002 and / or the transmission of communications by the transmitting component 1004. Additionally or alternatively, the communication manager 1006 may generate control information and / or provide control information to the receiving component 1002 and / or the transmitting component 1004 to control the reception and / or transmission of communications.

[0171] The receiving component 1002 can obtain the conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data. The communication manager 1006 can generate or receive the output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met.

[0172] The communication manager 1006 can identify whether conditions are met, including: whether channel quality metric conditions are met, whether edge device location conditions are met, whether edge device speed conditions are met, or whether downlink resource availability conditions are met.

[0173] The transmitting component 1004 can transmit a generative artificial intelligence model configuration. The transmitting component 1004 can also transmit instructions for edge devices to perform data rendering operations based on met conditions. The receiving component 1002 can receive sensor information associated with the data. The transmitting component 1004 can transmit an updated generative artificial intelligence model configuration based on the sensor information.

[0174] The sending component 1004 can send at least one of a seed or a hint for each of a plurality of data rendering operations to be performed on the data. The sending component 1004 can send an updated hint for each of the plurality of data rendering operations to be performed on the data. The sending component 1004 can send an indication that the hint has not yet been updated for any of the plurality of data rendering operations to be performed on the data. The receiving component 1002 can receive the seed and hint based on the execution of the data rendering operation at the edge device. The receiving component 1002 can receive multiple seeds and multiple hints from the edge device based on the multiple data rendering operations performed by the edge device. The receiving component 1002 can receive a request from the edge device to execute a data rendering operation at the edge device based on satisfied conditions. The receiving component 1002 can receive the seed and hint to be used by the edge device for a first data rendering operation via a first communication. The receiving component 1002 can receive another seed and another hint to be used by the edge device for a second data rendering operation via a second communication.

[0175] Figure 10 The number and arrangement of components shown are provided as an example. In practice, different arrangements may exist. Figure 10 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 10 The two or more components shown can be implemented within a single component, or Figure 10 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 10 The set (one or more) components shown are executable and described as being composed of Figure 10 The other set of components shown performs one or more functions.

[0176] The following provides an overview of some aspects of this disclosure: Aspect 1: A method for wireless communication performed by an edge device, the method comprising: obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generating or receiving an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at a network node if the conditions are not met.

[0177] Aspect 2: According to the method of aspect 1, generating or receiving the output of the data rendering operation based on the conditions includes: generating the output of the data rendering operation based on the satisfaction of the conditions; or receiving the output of the data rendering operation from the network node based on the non-satisfaction of the conditions.

[0178] Aspect 3: The method according to any one of Aspects 1 to 2, the method further includes identifying whether the conditions are met, wherein identifying whether the conditions are met includes: identifying whether the channel quality metric condition is met, identifying whether the edge device location condition is met, identifying whether the edge device speed condition is met, or identifying whether the downlink resource availability condition is met.

[0179] Aspect 4: The method according to any one of Aspects 1 to 3, the method further comprising: receiving a generative artificial intelligence model configuration; receiving an instruction for the edge device to perform the data rendering operation based on the condition being met; and using the generative artificial intelligence model configuration to perform the data rendering operation.

[0180] Aspect 5: According to the method of aspect 4, the method further includes: sending sensor information associated with the data; and receiving an updated generative artificial intelligence model configuration based on the sensor information.

[0181] Aspect 6: According to the method of aspect 4, receiving the generative artificial intelligence model configuration includes receiving at least one of a seed or a prompt, wherein the seed is associated with an initial input to the data, and the prompt is associated with a feature to be included in the output of the data rendering operation.

[0182] Aspect 7: According to the method of aspect 4, wherein the generative artificial intelligence model configuration indicates the minimum number of steps for the data rendering operation.

[0183] Aspect 8: According to the method of aspect 7, the method further includes performing a certain number of steps for the data rendering operation based on latency requirements and based on the minimum number of steps for the data rendering operation.

[0184] Aspect 9: According to the method of aspect 4, receiving the generative artificial intelligence model configuration includes receiving at least one of downlink control information, a media access control message, or a radio resource control message including the generative artificial intelligence model configuration, wherein bits included in the downlink control information indicate whether the data rendering operation is enabled at the edge device, wherein another bit included in the downlink control information indicates the occurrence of a prompt associated with the data, or wherein bits included in the media access control message or the radio resource control message indicate information associated with the prompt.

[0185] Aspect 10: The method according to aspect 4, the method further comprising receiving at least one of a seed or hint for each of a plurality of data rendering operations to be performed on the data.

[0186] Aspect 11: According to the method of aspect 4, each of the plurality of data rendering operations to be performed on the data is at least partially based on the same seed.

[0187] Aspect 12: The method according to aspect 4, the method further comprising: receiving an updated prompt for each of a plurality of data rendering operations to be performed on the data; or receiving an indication that the prompt has not yet been updated for the data rendering operations of the plurality of data rendering operations to be performed on the data.

[0188] Aspect 13: The method according to any one of Aspects 1 to 12, the method further comprising: identifying that the data rendering operation is performed at the edge device based on the condition being met; and sending a seed and a prompt to the network node based on the identification that the data rendering operation is performed at the edge device.

[0189] Aspect 14: The method according to aspect 13, the method further comprising: performing a plurality of data rendering operations on the data, wherein each of the plurality of data rendering operations is associated with a seed and a cue; and sending a plurality of seeds and a plurality of cuees to the network node according to the plurality of data rendering operations.

[0190] Aspect 15: The method according to any one of aspects 1 to 14, the method further comprising sending a request to the network node to perform the data rendering operation at the edge device based on the satisfaction of the condition.

[0191] Aspect 16: The method according to aspect 15, the method further comprising: sending a seed and a hint for a data rendering operation on the data; and using the seed and the hint to perform the data rendering operation.

[0192] Aspect 17: The method according to aspect 16 further includes: sending another seed and another prompt for another data rendering operation on the data; and using the other seed and the other prompt to perform another data rendering operation.

[0193] Aspect 18: A method for wireless communication performed by a network node, the method comprising: obtaining conditions associated with a data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; and generating or receiving an output of the data rendering operation based on the conditions, wherein the data rendering operation is performed at an edge device if the conditions are met, or at a network node if the conditions are not met.

[0194] Aspect 19: According to the method of aspect 18, generating or receiving the output of the data rendering operation based on the condition includes: receiving the output of the data rendering operation from the edge device based on the condition being met; or generating the output of the data rendering operation based on the condition not being met.

[0195] Aspect 20: The method according to any one of Aspects 18 to 19, the method further comprising identifying whether the condition is satisfied, wherein identifying whether the condition is satisfied includes: identifying whether a channel quality metric condition is satisfied, identifying whether an edge device location condition is satisfied, identifying whether an edge device speed condition is satisfied, or identifying whether a downlink resource availability condition is satisfied.

[0196] Aspect 21: The method according to any one of aspects 18 to 20, the method further comprising: sending a generative artificial intelligence model configuration; and sending an instruction for the edge device to perform the data rendering operation based on the condition being met.

[0197] Aspect 22: The method according to aspect 21 further includes: receiving sensor information associated with the data; and sending an updated generative artificial intelligence model configuration based on the sensor information.

[0198] Aspect 23: According to the method of aspect 21, sending the generative artificial intelligence model configuration includes sending at least one of a seed or a prompt, wherein the seed is associated with an initial input to the data, and the prompt is associated with a feature to be included in the output of the data rendering operation.

[0199] Aspect 24: According to the method of aspect 21, wherein the generative artificial intelligence model configuration indicates the minimum number of steps for the data rendering operation.

[0200] Aspect 25: According to the method of aspect 21, sending the generative artificial intelligence model configuration includes sending at least one of downlink control information, media access control message, or radio resource control message including the generative artificial intelligence model configuration, wherein bits included in the downlink control information indicate whether the data rendering operation is enabled at the edge device, wherein another bit included in the downlink control information indicates the occurrence of a prompt associated with the data, or wherein bits included in the media access control message or the radio resource control message indicate information associated with the prompt.

[0201] Aspect 26: The method according to aspect 21 further includes sending at least one of a seed or hint for each of a plurality of data rendering operations to be performed on the data.

[0202] Aspect 27: The method according to aspect 21, wherein each of the plurality of data rendering operations to be performed on the data is at least partially based on the same seed.

[0203] Aspect 28: The method according to aspect 21, the method further comprising: sending an updated prompt for each of a plurality of data rendering operations to be performed on the data; or sending an indication that the prompt has not yet been updated for the data rendering operations of the plurality of data rendering operations to be performed on the data.

[0204] Aspect 29: The method according to any one of aspects 18 to 28, the method further comprising receiving a seed and a prompt based on performing the data rendering operation at the edge device.

[0205] Aspect 30: According to the method of aspect 29, the method further includes receiving multiple seeds and multiple prompts from the edge device based on multiple data rendering operations performed by the edge device.

[0206] Aspect 31: The method according to any one of aspects 18 to 30, the method further comprising receiving a request from the edge device to perform the data rendering operation at the edge device based on the condition being met.

[0207] Aspect 32: According to the method of aspect 31, the method further includes: receiving, via a first communication, a seed and a prompt to be used by the edge device for a first data rendering operation; and receiving, via a second communication, another seed and another prompt to be used by the edge device for a second data rendering operation.

[0208] Aspect 33: An apparatus for wireless communication at a device, the apparatus comprising: one or more processors; one or more memories coupled to the one or more processors; and instructions stored in the one or more memories and executable by the one or more processors to cause the apparatus to perform the method according to one or more of aspects 1 to 32.

[0209] Aspect 34: An apparatus for wireless communication at a device, the apparatus comprising one or more memories and one or more processors coupled to the one or more memories, the one or more processors being configured to cause the device to perform the method according to one or more of aspects 1 to 32.

[0210] Aspect 35: An apparatus for wireless communication, the apparatus comprising at least one component for performing the method according to one or more of aspects 1 to 32.

[0211] Aspect 36: A non-transitory computer-readable medium storing code for wireless communication, the code including instructions executable by one or more processors to perform the method according to one or more of aspects 1 to 32.

[0212] Aspect 37: A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising one or more instructions that, when executed by one or more processors of a device, cause the device to perform the method according to one or more of aspects 1 to 32.

[0213] Aspect 38: A device for wireless communication, the device including a processing system comprising one or more processors and one or more memories coupled to the one or more processors, the processing system being configured to cause the device to perform the method according to one or more of aspects 1 to 32.

[0214] Aspect 39: An apparatus for wireless communication at a device, the apparatus comprising one or more memories and one or more processors coupled to the one or more memories, the one or more processors being individually or collectively configured to cause the device to perform one or more of the methods according to aspects 1 to 32.

[0215] While the foregoing disclosure provides examples and descriptions, it is not intended to be exhaustive or to limit aspects to the precise forms disclosed. Modifications and variations can be made based on the foregoing disclosure, or from various aspects of practice.

[0216] As used herein, the term "component" is intended to be interpreted broadly as hardware and / or a combination of hardware and software. Whether referred to as software, firmware, middleware, microcode, hardware description language, or other names, "software" should be interpreted broadly as meaning instructions, instruction sets, code, code segments, program code, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, and / or functions, etc. As used herein, a "processor" is implemented in hardware and / or a combination of hardware and software. It will be apparent that the systems and / or methods described herein can be implemented through various forms of hardware and / or combinations of hardware and software. The actual dedicated control hardware or software code used to implement these systems and / or methods is not limiting in any way. Therefore, no specific software code is referred to in this document to describe the operation and behavior of the systems and / or methods, as those skilled in the art will understand that the software and hardware can be designed, at least in part, based on the descriptions herein, to implement the systems and / or methods.

[0217] Hardware and data processing means for implementing the various exemplary logic, logic blocks, modules, and circuits described herein can be implemented or executed using general-purpose single-chip or multi-chip processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic components, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor can be a microprocessor, or any conventional processor, controller, microcontroller, or state machine. A processor can also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors combined with a DSP core, or any other such configuration. In some aspects, specific processes and methods can be performed by circuitry dedicated to a given function.

[0218] As used in this article, depending on the context, "meeting the threshold" can mean a value greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, not equal to the threshold, etc.

[0219] Although specific combinations of features are set forth in the claims and / or disclosed in the specification, these combinations are not intended to limit the disclosure of various aspects. Many of these features may be combined in ways not specifically set forth in the claims and / or not disclosed in the specification. The disclosure of various aspects includes each dependent claim in combination with each other claim in the set of claims. As used herein, the phrase “at least one of” in the list of items refers to any combination of these entries, including a single member. As an example, “at least one of a, b, or c” is intended to cover a, b, c, a+b, a+c, b+c, and a+b+c, as well as any combination having multiple identical elements (e.g., a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c, and c+c+c, or any other ordering of a, b, and c).

[0220] No element, action, or instruction used herein should be construed as essential or necessary unless explicitly stated otherwise. Furthermore, as used herein, the articles “a” and “an” are intended to include one or more items and are interchangeable with “one or more.” Similarly, as used herein, the article “the” is intended to include one or more items mentioned in connection with the article “the” and is interchangeable with “one or more.” Furthermore, as used herein, the terms “group” and “cluster” are intended to include one or more entries and are interchangeable with “one or more.” If only one item is desired, the phrase “only one” or similar terminology will be used. Additionally, as used herein, the terms “having” and the like are intended to be open-ended terms that do not limit the elements they modify (e.g., an element “having” A may also have B). Furthermore, the phrase “based on” is intended to mean “at least partially based on” unless otherwise explicitly stated. Additionally, as used herein, the term “or” is intended to be open-ended when used in a series and is interchangeable with “and / or” unless otherwise explicitly stated (e.g., if used in conjunction with “any” or “only one”).

Claims

1. An apparatus for wireless communication at an edge device, the apparatus comprising: One or more memory units; and One or more processors, said one or more processors being coupled to said one or more memories and configured to enable the edge device to: Obtain the conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; as well as The output of the data rendering operation is generated or received according to the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met.

2. The apparatus of claim 1, wherein, in order for the edge device to generate or receive the output of the data rendering operation according to the conditions, the one or more processors are configured to cause the edge device to: The output of the data rendering operation is generated based on the conditions being met; or The output of the data rendering operation is received from the network node if the condition is not met.

3. The apparatus of claim 1, wherein the one or more processors are further configured to cause the edge device to identify whether the condition is satisfied, wherein identifying whether the condition is satisfied includes: The identifier indicates whether the channel quality metric conditions are met, whether the edge device location conditions are met, whether the edge device speed conditions are met, or whether the downlink resource availability conditions are met.

4. The apparatus of claim 1, wherein the one or more processors are further configured to cause the edge device to: Receive generative artificial intelligence model configuration; Receive an instruction for the edge device to perform the data rendering operation based on the conditions being met; and The data rendering operation is performed using the generative artificial intelligence model configuration described above.

5. The apparatus of claim 4, wherein the one or more processors are further configured to cause the edge device to: Send sensor information associated with the data; and The updated generative artificial intelligence model configuration is received based on the sensor information.

6. The apparatus of claim 4, wherein, in order for the edge device to receive the generative artificial intelligence model configuration, the one or more processors are configured to cause the edge device to receive at least one of a seed or a prompt, wherein the seed is associated with an initial input to the data, and the prompt is associated with a feature to be included in the output of the data rendering operation.

7. The apparatus of claim 4, wherein the generative artificial intelligence model configuration indicates the minimum number of steps for the data rendering operation.

8. The apparatus of claim 7, wherein the one or more processors are further configured to cause the edge device to perform a number of steps for the data rendering operation according to latency requirements and according to the minimum number of steps for the data rendering operation.

9. The apparatus of claim 4, wherein, in order for the edge device to receive the generative artificial intelligence model configuration, the one or more processors are configured to cause the edge device to receive at least one of downlink control information, a media access control message, or a radio resource control message including the generative artificial intelligence model configuration, wherein bits included in the downlink control information indicate whether the data rendering operation is enabled at the edge device, wherein another bit included in the downlink control information indicates the occurrence of a prompt associated with the data, or wherein bits included in the media access control message or the radio resource control message indicate information associated with the prompt.

10. The apparatus of claim 4, wherein the one or more processors are further configured to cause the edge device to receive at least one of a seed or hint for each of a plurality of data rendering operations to be performed on the data.

11. The apparatus of claim 4, wherein each of the plurality of data rendering operations to be performed on the data is at least partially based on the same seed.

12. The apparatus of claim 4, wherein the one or more processors are further configured to cause the edge device to: Receive an updated prompt for each of the multiple data rendering operations to be performed on the data; or Receive an indication that the data rendering operation update prompt has not yet been performed for one of the plurality of data rendering operations to be performed on the data.

13. The apparatus of claim 1, wherein the one or more processors are further configured to cause the edge device to: The data rendering operation is performed at the edge device based on the fulfillment of the stated conditions; and The data rendering operation is performed at the edge device according to the identifier to send seeds and prompts to the network nodes.

14. The apparatus of claim 13, wherein the one or more processors are further configured to cause the edge device to: Perform multiple data rendering operations on the data, wherein each of the multiple data rendering operations is associated with a seed and a hint; and Multiple seeds and multiple prompts are sent to the network nodes based on the multiple data rendering operations.

15. The apparatus of claim 1, wherein the one or more processors are further configured to cause the edge device to send a request to the network node to perform the data rendering operation at the edge device based on the condition being met.

16. The apparatus of claim 15, wherein the one or more processors are further configured to cause the edge device to: Send a seed and a hint to be used for the data rendering operation targeting the data; and The data rendering operation is performed using the seed and the prompt.

17. The apparatus of claim 16, wherein the one or more processors are further configured to cause the edge device to: Send another seed and another prompt for another data rendering operation on the data; and Use the other sub and the other prompt to perform another data rendering operation.

18. An apparatus for wireless communication at a network node, the apparatus comprising: One or more memory units; and One or more processors, said one or more processors coupled to said one or more memories and configured to cause the network node to: Obtain the conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; as well as The output of the data rendering operation is generated or received according to the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met.

19. The apparatus of claim 18, wherein, in order for the network node to generate or receive the output of the data rendering operation according to the conditions, the one or more processors are configured to cause the network node to: The output of the data rendering operation is received from the edge device based on the condition being met; or The output of the data rendering operation is generated based on the condition that is not met.

20. The apparatus of claim 18, wherein the one or more processors are further configured to cause the network node to: Send generative artificial intelligence model configuration; and Instructions are sent to the edge device to perform the data rendering operation based on the conditions being met.

21. The apparatus of claim 20, wherein the one or more processors are further configured to cause the network node to: Receive sensor information associated with the data; and The updated generative artificial intelligence model configuration is sent based on the sensor information.

22. The apparatus of claim 20, wherein, in order for the network node to send the generative artificial intelligence model configuration, the one or more processors are configured to cause the network node to send at least one of a seed or a prompt, wherein the seed is associated with an initial input to the data, and the prompt is associated with a feature to be included in the output of the data rendering operation.

23. The apparatus of claim 20, wherein the generative artificial intelligence model configuration indicates the minimum number of steps for the data rendering operation.

24. The apparatus of claim 20, wherein, in order for the network node to send the generative artificial intelligence model configuration, the one or more processors are configured to cause the network node to send at least one of downlink control information, a media access control message, or a radio resource control message including the generative artificial intelligence model configuration, wherein bits included in the downlink control information indicate whether the data rendering operation is enabled at the edge device, wherein another bit included in the downlink control information indicates the occurrence of a prompt associated with the data, or wherein bits included in the media access control message or the radio resource control message indicate information associated with the prompt.

25. The apparatus of claim 18, wherein the one or more processors are further configured to cause the network node to receive a seed and a cue based on the data rendering operation performed at the edge device.

26. The apparatus of claim 25, wherein the one or more processors are further configured to cause the network node to receive a plurality of seeds and a plurality of cues from the edge device based on a plurality of data rendering operations performed by the edge device.

27. The apparatus of claim 18, wherein the one or more processors are further configured to cause the network node to receive a request from the edge device to perform the data rendering operation at the edge device based on the condition being met.

28. The apparatus of claim 27, wherein the one or more processors are further configured to cause the network node to: Receive, via first communication, a seed and a prompt to be used by the edge device for a first data rendering operation; and Receive another seed and another prompt via a second communication for use by the edge device in a second data rendering operation.

29. A method for wireless communication performed by an edge device, the method comprising: Obtain the conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; as well as The output of the data rendering operation is generated or received according to the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met.

30. A method for wireless communication performed by a network node, the method comprising: Obtain the conditions associated with the data rendering operation, wherein the data associated with the data rendering operation includes at least one of image data or video data; as well as The output of the data rendering operation is generated or received according to the conditions, wherein the data rendering operation is performed at the edge device if the conditions are met, or at the network node if the conditions are not met.

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