Intel Corporation

Apple Inc.

Amazon Technologies, Inc.

Intel Mobile Communications Gmbh

Other

Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Intel IP Corporation

Jing Zhu

Nageen Himayat

Rath Vannithamby

Alexander Sasha Sirotkin

Ali Taha Koc

Satish Chandra Jha

Jerome Parron

Maruti Gupta

Candy Yiu

Xue Yang

Shilpa Talwar

Mo-Han Fong

Alexandre Saso Stojanovski

Sudeep K Palat

Muthaiah Venkatachalam

Kathiravetpillai Sivanesan

Carlos Cordeiro

Laurent Cariou

Yang Yang

Yujian Zhang

Hyung-Nam Choi

Vivek G Gupta

Wook Bong Lee

Dave A Cavalcanti

Mohammad Mamunur Rashid

Dae Won Lee

Huaning Niu

Youn Hyoung Heo

Umesh Phuyal

Minyoung Park

Kyeongin Jeong

Konstantinos Dimou

Hosein Nikopour

Marta Martinez Tarradell

Sangeetha L Bangolae

Xiangying Yang

Pingping Zong

Qinghua Li

Robert J Stacey

Po-Kai Huang

Thomas J Kenney

Xiaogang Chen

Markus Dominik Mueck

Bharat Shrestha

Shahrnaz Azizi

Richard Charles Burbidge

Puneet K Jain

Hujun Yin

Jeongho Jeon

Adrian Paul Stephens

Qian Li

Yaron Alpert

Seau Sian Lim

Matthew A Mow

Honglei Miao

Richard D Roberts

Anthony Lee

Alexander W Min

Daniel F Bravo

Boris Ginzburg

Liuyang L Yang

Ming-Ju Tsai

Jaemin Han

Liang Han

Hong He

Yushu Zhang

Gang Xiong

Alexei Vladimirovich Davydov

Jie Cui

Debdeep Chatterjee

Mattia Pascolini

Emily H Qi

Alexey Vladimirovich Khoryaev

Joonyoung Cho

Xintian Eddie Lin

Yongjun Kwak

Joey Chou

Sergey Panteleev

Bernhard Raaf

Xu Zhang

Rui Huang

Gregory Vladimirovich Morozov

Yi Guo

Geng Wu

Feng Jiang

Yang-Seok Choi

Andrey Chervyakov

Yizhi Yao

Zhibin Yu

Hua Li

Robert Zaus

Farid Adrangi

Bertram Gunzelmann

Biljana Badic

Lakshman Krishnamurthy

Sabine Roessel

Stefano Pellerano

Meghashree Dattatri Kedalagudde

Mats Gustav Agerstam

Feng Xue

Systems and techniques for generation, storage, and updating of common floor plans across shared autonomous mobile devices. The systems and techniques include a central server having a floor plan stored thereon. The floor plan is updated by receiving an updated floor plan or updated data from one or more of the autonomous mobile devices. The floor plan is updated and subsequently propagated across all the autonomous mobile devices in the environment to ensure consistency and accuracy of floor plans.

Shared floor plan system for autonomous mobile devices

Apparatuses for partially offloading processing from a user equipment (UE) to a cellular Radio Access Network (RAN) node are disclosed. An apparatus for a UE includes at least one processor configured to perform Transmission Control Protocol and Internet Protocol (TCP/IP) processing and offload only a portion of the TCP/IP processing to a cellular RAN node while maintaining TCP protocols running end-to-end between the UE and a remote host.

Apparatuses for partially offloading protocol processing

Disclosed embodiments are related to techniques for implementing Multiple Access Management Services (MAMS), Multi-access Edge Computing (MEC), and 3GPP Fifth Generation (5G) technologies. Embodiments include enhanced application programming interfaces (APIs) that allow applications to influence multi-access (MA) traffic steering decisions, and also get informed of various MA traffic steering modes. Disclosed embodiments also include techniques to enable coexistence between MEC-based MAMS systems and 5G MA traffic steering mechanisms. Other embodiments may be described and/or claimed.

Technologies for control and management of multiple traffic steering services

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

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.

Traffic steering and cross-layer and cross-link mobility management techniques for multi-access management services

Devices, methods, user equipment (UE), base stations, storage media, and other embodiments are provided for a dynamic random access channel (RACH). In one embodiment, an apparatus includes a memory configured to store a configuration communication from a base station, the configuration communication comprising a dynamic dedicated random access channel (RACH) configuration (RACH-ConfigDedicated) information element, the RACH-ConfigDedicated information element comprising a plurality of dedicated random access parameters. Processing circuitry coupled to the memory is then configured to decode the configuration communication from the base station to identify the plurality of dedicated random access parameters and set up a RACH procedure for connection to the base station using the plurality of dedicated random access parameters. In various embodiments, different communications may be used for the dedicated random access parameters which are used in the RACH procedure.

Devices and methods for dynamic RACH

Multi-access management service queueing and reordering techniques

A next generation NodeB (gNB) implements a radio access network (RAN) convergence functionality for new radio (NR) and wireless local area network (WLAN) access, the gNB further implementing a split architecture comprising a central unit (CU) and a distributed unit (DU) for each of the NR access and WLAN access. The gNB receives a data packet for transmission to a user equipment (UE) implementing the RAN convergence functionality, the data packet comprising one of a control plane (CP) packet or a user plane (UP) packet. The gNB splits the data packet via a convergence layer residing on the NR CU or a convergence layer residing on the WLAN CU and transmits the split data packet over the NR access and the WLAN access.

Mutual anchoring and traffic distribution in a converged RAN integrating NR and Wi-Fi access

Systems, apparatuses, methods, and computer-readable media, are provided for offloading computationally intensive tasks from one computer device to another computer device taking into account, inter alia, energy consumption and latency budgets for both computation and communication. Embodiments may also exploit multiple radio access technologies (RATs) in order to find opportunities to offload computational tasks by taking into account, for example, network/RAT functionalities, processing, offloading coding/encoding mechanisms, and/or differentiating traffic between different RATs. Other embodiments may be described and/or claimed.

Application computation offloading for mobile edge computing

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.

Multi-access management service packet classification and prioritization techniques

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) data plane functions are integrated into the MAMS framework to provide a virtual network connection that acts as the MAMS anchor connection. The virtual (anchor) connection is used for sending time-sensitive MAMS control/management messages. Virtual network configuration parameters are discussed in the present disclosure, which are used for establishing and setting up the virtual (anchor) connection. Other embodiments may be described and/or claimed.

Multi-access management service frameworks for cloud and edge networks

Systems, methods, and computer-readable storage media for measuring one-way delay in multi-access networks (MAMS) are provided. Other embodiments may be described and/or claimed.

One-way delay (OWD) measurements in next-generation multi-access networks

Embodiments of a generation Node-B (gNB), User Equipment (UE) and methods for communication are generally described herein. A source gNB may operate as a master gNB (MgNB) before a handover. A target gNB may operate as a secondary gNB (SgNB) before the handover. The target gNB may operate as the MgNB after the handover. The target gNB may, as part of operation as the SgNB, transmit a first data packet received from the source gNB for relay to the UE. The target gNB may, as part of operation as the MgNB, transmit, a second data packet received from a serving gateway (SGW) for relay to the UE.

Generation Node-B (GNB), user equipment (UE) and methods for handover based on multi-connectivity in new radio (NR) systems

Technology for a user equipment (UE), operable to generate an enhanced buffer status report (eBSR) is disclosed. The UE can identify packets for uplink transmission. The UE can filter the packets for uplink transmission, to identify a number of small packets pending for transmission and a number of larger packets, relative to the small packets, that are pending for transmission in the uplink transmission. The UE can encode the eBSR for transmission to a next generation node B (gNB), wherein the eBSR includes information identifying the number of small packets pending for transmission. The UE can have a memory interface configured to send to a memory the number of small packets pending for transmission.

Buffer status report enhancements for TCP Flow

Growing community of inventors

Portland, OR, United States of America

Jing Zhu