Intel Corporation

Apple Inc.

Jingwen Bai

Shilpa Talwar

Shu-Ping Yeh

Feng Xue

Yang-Seok Choi

Candy Yiu

Murali Narasimha

Ping Wang

Sung-En Chiu

Wei Mao

Ned M Smith

Francesc Guim Bernat

Kshitij Arun Doshi

Jing Zhu

Hosein Nikopour

Christian Maciocco

Jaemin Han

Ching-Yu Liao

Mark C Davis

David Arditti Ilitzky

Seong-Youp Suh

Sreenivas Kasturi

Eduardo Alban

Ranganadh Karella

Mustafa Akdeniz

Menglei Zhang

Tiefeng Shi

Mark Edward Davis

Philippe Auzas

Jonathan Byrne

Mengkun Ke

Rodrigo Aldana Lopez

David Gomez Gutierrez

Rafael De La Guardia Gonzalez

Leobardo Campos Macias

Timo Huusari

Bradley Alan Jackson

Daniel Tong

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.

Multi-radio access technology traffic management

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.

Full duplex communications in wireless networks

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.

Resilient radio resource provisioning for network slicing

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.

Reliability enhancements for multi-access traffic management

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.

Reinforcement learning for multi-access traffic management

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.

E2 node and near real-time RAN intelligent controller (near-RT RIC) configured for PDCP duplication

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.

Unmanned aerial vehicle communication

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.

Enhanced control signaling using full-duplex communication in wireless communication network

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.

Device and method for CQI feedback to enable joint DL-UL scheduling in full duplex systems

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.

Signaling design of enhanced handover support for drones in a cellular network

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.

Technologies for providing signal quality based route management for unmanned aerial vehicles

A communication device and a method for determining an information from a second device including setting an initial beamforming pattern is provided. The initial beamforming pattern includes a beamforming direction and a corresponding beamforming area for each of the plurality of antenna ports, including determining a concerned direction interval based on overlapping beamforming areas of adjacent pairs of the plurality of antenna ports, receiving a signal from the second device, measuring a signal gain from the signal on each of the plurality of antenna ports, determining which concerned direction interval the second device occupies based on an antenna port having the highest signal gain and on one of the adjacent pair of antenna ports to the antenna port having the highest signal gain having a higher signal gain, and determining the information from the second device based on the determined concerned direction interval.

Communication device and a method for full duplex scheduling

To configure a UE 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.

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San Jose, CA, United States of America

Jingwen Bai