Abstract: A semiconductor memory device includes a substrate having a conductor region thereon, an interlayer dielectric layer on the substrate, and a conductive via electrically connected to the conductor region. The conductive via has a lower portion embedded in the interlayer dielectric layer and an upper portion protruding from a top surface of the interlayer dielectric layer. The upper portion has a rounded top surface. A storage structure conformally covers the rounded top surface.

Abstract: An electronic device is provided. The electronic device includes at least one electrical connection structure. The at least one electrical connection structure includes a first substrate, a first conductive pad, a second substrate, a second conductive pad, a through hole, and a conductive material. The first conductive pad is disposed on the first substrate. The first conductive pad includes at least two sub-parts, and the at least two sub-parts respectively include a first upper surface. The second conductive pad is disposed on the second substrate. The second conductive pad includes a second upper surface. The through hole passes through the first substrate and exposes a portion of the second upper surface. Furthermore, the conductive material is partially disposed in the through hole and in contact with at least one first upper surface and the second upper surface.

Abstract: A method for forming a semiconductor device structure includes forming nanostructures over a substrate. The method also includes forming a gate structure wrapped around the nanostructures. The method also includes forming source/drain epitaxial structures over opposite sides of the nanostructures. The method also includes forming a first interlayer dielectric structure over the source/drain epitaxial structures. The method also includes removing the first interlayer dielectric structure. The method also includes forming a recess in the source/drain epitaxial structures. The method also includes forming a silicide structure in the recess. The method also includes forming a second interlayer dielectric structure over the silicide structure.

Abstract: A sealing article includes a body and a coating layer disposed on at least one surface of the body. The body comprises a polymeric elastomer such as perfluoroelastomer or fluoroelastomer. The coating layer comprises at least one metal. The sealing article may be a seal, a gasket, an O-ring, a T-ring or any other suitable product. The sealing article is resistant to ultra-violet (UV) light and plasma, and may be used for sealing a semiconductor processing chamber.

Abstract: A method for adaptive multi-window technology includes detecting a multi-window scenario corresponding to a plurality of windows on an electronic device, determining priorities of the plurality of windows, monitoring a plurality of performance indexes of the electronic device, checking whether resource re-allocation is needed according to the performance indexes, determining targets of the plurality of windows if resource re-allocation is needed, and changing profiles of the targets according to a resource re-allocation algorithm.

Abstract: An electronic device is provided. The electronic device includes at least one electrical connection structure. The at least one electrical connection structure includes a first substrate, a first conductive pad, a second substrate, a second conductive pad, a through hole and a conductive material. The first conductive pad is disposed on the first substrate. The first conductive pad includes a first upper surface and a first side surface. The second substrate is disposed opposite to the first substrate. The second conductive pad is disposed on the second substrate. The second conductive pad includes a second upper surface. The through hole penetrates through the first substrate. In addition, in a top-view diagram, the through hole includes an extension area. The conductive material is partially disposed in the extension area and in contact with the first upper surface and the second upper surface.

Abstract: An application server side network predicts, based at least on a feedback of traffic latency, a congestion in a traffic between the application server side network and at least one user equipment (UE) of one or more UEs in a radio access network (RAN) of the application server side network based on a total RAN network load and traffics between the application server side network and the one or more UEs. The application server side network controls the congestion in response to an increase in a queueing delay in the traffic between the application server side network and the at least one UE as well as an increase in a data rate and quality of service (QoS) parameters of the traffic, with the traffic including an extended reality (XR) traffic associated with an XR client-side application executed on the at least one UE.

Abstract: Apparatus and method for data scheduling are proposed. The user equipment (UE) may provide an indication or a measurement report to the network node. The network node may determine whether to schedule data within at least one time duration which is configured to the UE for measurement based on the indication or the measurement report. Therefore, for some real-time application (e.g., virtual reality (VR) or augmented reality (AR)), the service will not be interrupted.

Abstract: A network communicates an extended reality (XR) traffic with a user equipment (UE) with frame error concealment to limit a duration of temporal error propagation. The network also transmits a report of failure or a request for retransmission to the UE in an event of a network transmission failure.

Abstract: A method for determining Listen Before Talk (LBT) type and Channel Access Priority Class (CAPC) for signaling message transmission over signaling radio bearers (SRBs) in 5G New Radio-Unlicensed (NR-U) is proposed. A user equipment (UE) generates an SRB message to be transmitted to a serving base station over a control channel. Before the uplink (UL) transmission of an UL PDU containing the SRB message, the UE performs an LBT procedure using a set of LBT parameters associated with a CAPC value. In one embodiment, the CAPC is provided by the base station via an UL grant contained in a downlink control information (DCI). In another embodiment, the CAPC is determined by the UE based on an SRB type of the SRB message.

Abstract: A projection apparatus and an overheating protection method thereof are provided. An initial stable temperature corresponding to an initial accumulated usage time during an initial usage period is obtained by using a temperature sensor in the projection apparatus. At least one stable temperature respectively corresponding to at least one accumulated usage time is obtained by using the temperature sensor in the projection apparatus. An estimated time corresponding to a target temperature is estimated according to the initial accumulated usage time, the initial stable temperature, the at least one stable temperature, and the at least one accumulated usage time. A temperature protection operation of the projection apparatus is executed in response to a current accumulated usage time of the projection apparatus exceeding the estimated time.

Abstract: A frame rate control method is provided. A primary scenario and a non-primary scenario are identified according to two or more windows displayed on a screen. Each of the primary scenario and the non-primary scenario is performed by an individual application. A frame rate of the non-primary scenario is decreased when a performance index indicates that a first condition is present. The application corresponding to the non-primary scenario is disabled when the performance index indicates that a second condition is present after decreasing the frame rate of the non-primary scenario, so as to remove the window corresponding to the non-primary scenario from the screen.

Abstract: Methods and apparatus are provided for UE-triggered handover and early preparation with coexistence of the network-triggered handover. In one novel aspect, the UE is configured early measurement report configuration, receives an early handover command from the serving base station with a handover candidate cell list, monitors handover triggering conditions for each candidate cell on the handover candidate cell list based on a UE-triggered handover configuration and performs the UE-triggered handover to a candidate cell when the corresponding triggering condition is met for the candidate cell. In one embodiment, the UE receives a network-triggered handover command to a target cell, suspends the UE-triggered handover configuration and performs the network-triggered handover to the target cell. The UE discards the UE-triggered handover configuration upon success of the network-triggered handover and resumes the UE-triggered handover configuration upon failure of the network-triggered handover.

Abstract: Methods and apparatus are provided for UE-triggered handover and early preparation with coexistence of the network-triggered handover. In one novel aspect, the UE is configured early measurement report configuration, receives an early handover command from the serving base station with a handover candidate cell list, monitors handover triggering conditions for each candidate cell on the handover candidate cell list based on a UE-triggered handover configuration and performs the UE-triggered handover to a candidate cell when the corresponding triggering condition is met for the candidate cell. In one embodiment, the UE receives a network-triggered handover command to a target cell, suspends the UE-triggered handover configuration and performs the network-triggered handover to the target cell. The UE discards the UE-triggered handover configuration upon success of the network-triggered handover and resumes the UE-triggered handover configuration upon failure of the network-triggered handover.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. In certain configurations, the UE establishes a connection supporting an extended reality (XR) application service with a base station. The UE reports, to the base station, a delay status report (DSR) to indicate a buffer size for data to be transmitted to the base station. The DSR includes timing information. The UE receives a configuration instruction from the base station. The UE configures resources on the UE according to the configuration instruction to transmit the data to the base station.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. In certain configurations, the UE establishes a connection supporting an extended reality (XR) application service with a base station. The UE reports, to the base station under a trigger condition, a buffer status report (BSR) to indicate a buffer size for data to be transmitted to the base station. The BSR includes information related to a corresponding BSR table. The UE receives a configuration instruction from the base station. The UE configures resources on the UE.

Abstract: Apparatus and methods are provided for AI-ML model storage and transfer in the wireless network. In one novel aspect, the AI-ML model is stored at the AI server and transferred through the user plane (UP). In one embodiment, UE downloads the AI-ML model from the AI server through the UP connection. In one embodiment, the AI-ML model is updated at the RAN node, and the UE downloads the AI-ML model through the AI server. In another embodiment, the AI-ML model is updated at the UE, and the UE uploads the AI-ML model to the AI server through the UP connection. In another embodiment, the UE uploads the AI-ML model to the RAN through the AI server. In one embodiment, the UE mobility triggers the AI-ML model transfer. In one novel aspect, the AI dataset is shared and transferred among different entities through the UP connection or a new AI plane.

Abstract: This invention presents methods leveraging artificial intelligence and machine learning (AI/ML) models to enhance wireless communications efficiency in 5G/6G networks. The processes involve storing, configuring, and transferring AI/ML models within base stations and user equipment devices (UE), allowing for localized decision-making and improved network performance. Features include dynamic model activation/deactivation, model compression/decompression, and encoding/decoding method negotiation. Periodic or condition-driven model updates ensure responsiveness to network changes, while model replacements enable upgrades and iterations. The system facilitates seamless handovers between base stations, with information sharing about model capabilities and UE specifics. Model storage and configuration can also occur in the UE, empowering it for local decision-making in variable or challenging network conditions.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be wireless equipment. The wireless equipment selects a first subset of beams to be utilized for beam management. The beams are from a set of first type of beams used for communication with a base station or a UE. The wireless equipment measures signals transmitted on a second subset of beams. The beams are from the set of first type of beams or from a set of second type of beams. The wireless equipment measures the signals over a time window. The wireless equipment inputs the measurements to a computational model. The wireless equipment receives predictions of channel measurements on the first subset of beams from the computational model.