Abstract: Embodiments of the present disclosure describe methods, apparatuses, and systems for enhanced control signaling using full-duplex communication in wireless communication networks. A base station may schedule a first user equipment (UE) for primary access to a set of time-frequency resources in a first communication direction (e.g., uplink or downlink). The base station may additionally schedule a second UE for secondary access to the same set of time-frequency resources in a second communication direction that is the opposite of the first communication direction. The secondary access may be used to communicate supplemental control information, such as a channel quality indicator (CQI) and/or modulation and coding scheme (MCS) feedback, hybrid automatic repeat request (HARQ) feedback, and/or multiple input multiple output (MIMO) feedback (e.g., including a rank indicator (RI) and/or a pre-coding matrix indicator (PMI). Other embodiments may be described and claimed.

Abstract: Devices and methods of providing joint scheduling in a full-duplex LTE system are generally described. The UE measures intra-cell interference at the UE caused by a UL transmission from each intra-cell UE, calculates a ratio of the intra-cell interference over an average inter-cell interference, determines whether the intra-cell UE is an aggressor or non-aggressor based on whether the ratio exceeds a threshold, transmits at least some of the determinations to the eNB as feedback, and communicates with the eNB based on a schedule that is dependent on the feedback such that the UE is neither an aggressor nor is subject to interference from aggressors. The schedule may also be based on wideband CQI feedback based on a ratio of an average overall DL interference plus noise over the average inter-cell interference plus noise and/or subband. CQI feedback based on SINR measurements.

Abstract: Disclosed are systems and methods for adaptive resilient network communication. A system may monitor network traffic on multiple pathways between user equipment and an application or a service at a network destination, gather network telemetry data from the monitored network traffic, input the network telemetry data into a trained artificial intelligence model, and classify the network telemetry data using the model. The system may further determine, using the model, an anomaly condition in at least a portion of the multiple pathways, and in response to the determination of an anomaly, select a mitigation technique for the at least a portion of the multiple pathways.

Abstract: In a communication method to communicate between an access point (AP) and first and second communication stations (STAs) can include calculating joint transmission information based on the first and the second STAs, establishing an uplink communication between the AP and the first STA; and establishing a downlink communication between the AP and the second STA jointly with the uplink communication between the AP and the first STA based on the joint transmission information.

Abstract: Devices and methods of providing joint scheduling in a full-duplex LTE system are generally described. The UE measures intra-cell interference at the UE caused by a UL transmission from each intra-cell UE, calculates a ratio of the intra-cell interference over an average inter-cell interference, determines whether the intra-cell UE is an aggressor or non-aggressor based on whether the ratio exceeds a threshold, transmits at least some of the determinations to the eNB as feedback, and communicates with the eNB based on a schedule that is dependent on the feedback such that the UE is neither an aggressor nor is subject to interference from aggressors. The schedule may also be based on wideband CQI feedback based on a ratio of an average overall DL interference plus noise over the average inter-cell interference plus noise and/or subband CQI feedback based on SINR measurements.

Abstract: To configure a UT for handover between a source evolved Node-B (eNB) and a target eNB using aerial communications in a cellular network, the UE processing circuitry is to decode measurement configuration information from the source eNB. The measurement configuration information includes a plurality of height thresholds associated with aerial height of the UE. A measurement report is encoded for transmission to the source eNB. The measurement report includes the aerial height of the UE and the measurement report generation triggered based on one or more triggering events associated with the plurality of height thresholds. RRC signaling from the source eNB is decoded, the RRC signaling including a handover command. The handover command is based on a handover decision by the source eNB using the measurement report. A handover from the source eNB to the target eNB is performed based on the handover command.

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: 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. Other embodiments may be described and/or claimed.

Abstract: The present disclosure is related to multi-queue management techniques and packet reordering techniques for inter-radio access technology (RAT) and intra-RAT traffic steering. The multi-queue management and packet reordering techniques may be used in Multi-Access Management Services (MAMS) framework, 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. Other embodiments may be described and/or claimed.

Abstract: The present disclosure is related to multi-access traffic management in multi-access computing environments. A reliability enhancement engine (REE) operated by a multi-access multipath traffic manager identifies traffic flows that have high reliability requirements (“reliability flows”) and performs admission control for the reliability flows. The REE determines a coding rate (e.g., a redundancy factor) and traffic distribution strategies for the identified reliability flows. The REE applies cross-access network coding (NC) on the reliability flows, and handles multi-access acknowledgements and traffic pacing, which may involve multiplexing traffic of the reliability flows with non-high-reliability traffic. Other embodiments may be described and/or claimed.

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 unmanned aerial vehicle can include a modem comprising a first antenna port and a second antenna port, an omnidirectional antenna connected to the first antenna port, and antennas configured to generate a directional transmission pattern connected to the second antenna port, the antennas including (a) an array of omni-directional antennas and (b) multiple directional antennas

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 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: Technologies for providing signal quality based route management for unmanned aerial vehicles include a device that includes circuitry to produce a data set indicative of a wireless communication signal quality at each of multiple locations in a geographic area. The circuitry is also to produce, as a function of the data set and a target wireless communication signal quality, a planned route for a vehicle through the geographic area.

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: In a communication method to communicate between an access point (AP) and first and second communication stations (STAs) can include calculating joint transmission information based on the first and the second STAs, establishing an uplink communication between the AP and the first STA; and establishing a downlink communication between the AP and the second STA jointly with the uplink communication between the AP and the first STA based on the joint transmission information.

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: Systems and methods of controlling drones are disclosed. Computation and control of beam direction and frequency is dependent on drone characteristics including three-dimensional location, orientation, and flight plan, with messages exchanged between the drone processor and modem dependent on which entity is performing the computation and control. Communications with the serving cell use a directional antenna and cell selection using an omni-directional antenna. MDT measurement and reporting and IDC measurement uses the drone characteristics and battery life.