Abstract: An anti-PD-L1 antibody, or an antigen-binding fragment thereof, comprising: a heavy chain variable region comprising the three CDRs with the sequences of SEQ ID NOs: 2-4, 6-8, 10-12, 14-16, or 18-20; and/or a light chain variable region comprising the three CDRs with the sequences of SEQ ID NOs: 22-24, 26-28, 30-32, 34-36, or 38-40, wherein the antibody is a chimeric, humanized, composite, or human antibody.

Abstract: The present disclosure is related to multi-access traffic management in edge computing environments, and in particular, artificial intelligence (AI) and/or machine learning (ML) techniques for multi-access traffic management. A scalable AI/ML architecture for multi-access traffic management is provided. Reinforcement learning (RL) and/or Deep RL (DRL) approaches that learn policies and/or parameters for traffic management and/or for distributing multi-access traffic through interacting with the environment are also provided. Deep contextual bandit RL techniques for intelligent traffic management for edge networks are also provided. Other embodiments may be described and/or claimed.

Abstract: The present disclosure is related to Multi-Access Management Services (MAMS), which is a programmable framework that provides mechanisms for the flexible selection of network paths in a multi-access (MX) communication environment, based on an application's needs. Generic Multi-Access (GMA) functions are also integrated into the MAMS framework. The present disclosure discusses Per-Packet Prioritization (PPP), intra-flow classification, and Active Queue Management (AQM) techniques for MAMS/GMA systems. Other embodiments may be described and/or claimed.

Abstract: Embodiments of a virtualized radio-access network (RAN) node configured to implement functions including an O-RAN Distributed Unit (DU), an O-RAN Radio Unit (RU), an O-RAN Central Unit-Control Plane (CU-CP), and an O-RAN Central Unit-User Plane (CU-UP), are described herein. In some embodiments, a reliability enhancement strategy is determined according to measurement reports collected from user equipment (UEs), the DU and the CU-UP.

Abstract: A humanized anti-neurotensin receptor 1 (NTSR1) antibody or an antigen-binding fragment thereof. Also, a method for treating, prophylactic treating and/or preventing diseases and/or disorders caused by or related to NTSR1 activity and/or signaling, and a method or kit for detecting NTSR1 in a sample.

Abstract: The present disclosure provides a resilient (radio) access network ((R)AN) slicing framework encompassing a resource planning engine and distributed dynamic slice-aware scheduling modules at one or more network access nodes, edge compute nodes, or cloud computing service. The resilient (R)AN slicing framework includes resource planning and slice-aware scheduling, as well as signaling exchanges for provisioning resilient (R)AN slicing. The intelligent (R)AN slicing framework can realize resource isolation in a more efficient and agile manner than existing network slicing technologies.

Abstract: An apparatus and system to provide a federated learning scheme between a RAN and connected UEs are described. A gNB-DU, gNB-CU, or LMF acts as a central server that selects an AI/ML model, trains the AI/ML model, and transmits the AI/ML model to UEs. The UEs act as local nodes that each send a model request to the central server, receive the AI/ML model in response to the request, trains the AI/ML model locally with data, and report updated parameters to the central server. The central server aggregates parameters from the local nodes and updates the AI/ML model.

Abstract: The present disclosure is related to Multi-Access Management Services (MAMS), which is a programmable framework that provides mechanisms for the flexible selection of network paths in a multi-access (MX) communication environment, based on an application's needs. Generic Multi-Access (GMA) functions are also integrated into the MAMS framework. The present disclosure discusses dynamic traffic splitting and one-way delay measurement techniques. Other implementations may be disclosed and/or claimed.

Abstract: A method for modifying glycoproteins is provided. The present disclosure also provides a method for producing glycoprotein-payload conjugates, the conjugates produced thereby, and the use thereof.

Abstract: A humanized anti-neurotensin receptor 1 (NTSR1) antibody or an antigen-binding fragment thereof. Also, a method for treating, prophylactic treating and/or preventing diseases and/or disorders caused by or related to NTSR1 activity and/or signaling, and a method or kit for detecting NTSR1 in a sample.

Abstract: The present disclosure relates to an anti-PD-L1 antibody or an antigen-binding fragment thereof, comprising: a heavy chain variable region sequence comprising the three CDRs with the sequences of SEQ ID NOs: 2 to 4, or 6 to 8; and a light chain variable region sequence comprising the three CDRs with the sequences of SEQ ID NOs: 10 to 12, or 14 to 16. The present disclosure also relates to a pharmaceutical composition and a method for detecting expression of PD-L1 in a sample.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to manage network slices. An example apparatus includes interface circuitry to acquire network information, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to reserve first network slices to satisfy service level objectives (SLOs) corresponding to first nodes, reserve second network slices to satisfy SLOs corresponding to second nodes, and reconfigure the first network slices to accept network communications from the second nodes when the network communications from the second nodes exceed a performance metric threshold.

Abstract: Systems and methods of beamforming and improving mmWave communications for drones are described. Multiple RF chains are used to adapt the main beam to track changes without the use of pilot signals. To reduce interference, interfering signal power is eliminated by optimizing a non-Gaussian measure to extract the interferers. The AoA of signals from a target drone on neighbouring drones and location of the neighbouring drones and base stations are used to independently corroborate the location reported by the target drone. The base station provides additional synchronization signals below 6 GHz and restricts the search/measurement space in the vertical direction. The inherent sparse structure above 6 GHz is exploited by applying different beamformers on a sounding signal and estimating the AoA and impulse response. Variations of fully digital and hybrid beamforming architectures for multi-cell DL sync and CRS measurement are described.

Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

Abstract: A communication circuit arrangement includes a signal path circuit to estimate, using a first kernel dimension filter and a first delay tap dimension filter, a first interference signal produced by a first amplifier. The signal path circuit further estimates, using a second kernel dimension filter and a second delay tap dimension filter, a second interference signal produced by a second amplifier. A cancellation circuit of the communication circuit arrangement may subtract a combination of the first interference signal and the second interference signal from a received signal to obtain a filtered signal, and one or more filter adaptation circuits may alternate between a kernel update phase and a delay update phase to update the first kernel dimension filter and the second kernel dimension filter during the kernel update phase, and update the first delay tap dimension filter and the second delay tap dimension filter during the delay update phase.

Abstract: Some embodiments may relate to incorporating RAN measurements when determining traffic distribution for access traffic steering switching splitting (ATSSS) systems. Other embodiments may be disclosed and/or claimed.

Abstract: Present disclosure may relate to an apparatus comprising: memory to store ran access network (RAN) load indicator information or user equipment (UE)-specific RAN condition indicator information; and processing circuitry, coupled with the memory, to: retrieve the RAN load indicator information or UE-specific RAN condition indicator information from the memory; and encode a measurement report message for transmission that includes the RAN load indicator information or UE-specific RAN condition indicator information.

Abstract: A communication circuit arrangement includes a first kernel dimension filter circuit configured to apply a first kernel dimension filter to a first input signal to estimate a first kernel dimension interference signal from a first amplifier, a second kernel dimension filter circuit configured to apply a second kernel dimension filter to a second input signal to estimate a second kernel dimension interference signal from a second amplifier, a joint delay tap dimension filter configured to apply a joint delay tap dimension filter to a combination of the first kernel dimension interference signal and the second kernel dimension interference signal to obtain an estimated joint interference signal, and a cancelation circuit configured to remove the estimated joint interference signal from a received signal to obtain a clean signal.

Abstract: An apparatus for an S-BS includes processing circuitry configured to decode configuration signaling from a plurality of S-UEs. The configuration signaling indicates an interference level at each of the plurality of S-UEs from transmissions of an M-BS. An S-UE is selected based on a comparison of the interference level at each S-UE with an interference threshold of each S-UE. Control signaling is encoded for transmission to the selected S-UE via a small cell access (S-AC) communication link. The control signaling is transmitted during the reception of downlink data from the M-BS via a primary backhaul communication link.

Abstract: Disclosed embodiments generally relate to edge-based multi-Radio Access Technology (RAT) traffic management (TM) solutions to support delay-sensitive traffic over heterogeneous networks. Embodiments include delay-aware TM implementations that split and/or steer network traffic across different RATs for the edge network control plane. Embodiments also include utilization threshold-based implementations to achieve delay-aware multi-path TM at the network's edge. The multi-path TM includes multi-RAT, multi-access, or multi-connectivity traffic routes. Embodiments include strategies to sort users (or devices) for making multi-RAT traffic distribution decisions and to determinate the utilization thresholds. Embodiments also include message exchange mechanisms or learning utilization thresholds and other useful system properties. Other embodiments may be described and/or claimed.