Apple Inc.

Nortel Networks Corporation

Intel Corporation

Other

Alcatel Lucent

Ericsson Ab

Geng Wu

Qian Li

Dawei Ying

Lili Wei

Hassan Ghozlan

Mo-Han Fong

Jun J Li

Zongrui Ding

Gabriel Arrobo Vidal

Huaning Niu

Gang Xiong

Jianglei Ma

Apostolos Papathanassiou

David Paranchych

Hua Xu

Lai King Tee

Yuqiang Tang

Neng Wang

Daewon Lee

Hang Zhang

Guangjie Li

Chung-Ching Wang

Xiaoyun May Wu

Alexander Sasha Sirotkin

Puneet K Jain

Satish Chandra Jha

Ke-Chi Jang

Ching-Yu Liao

Lu Lu

Yaser M Fouad

Joonbeom Kim

Yushu Zhang

Wen Tong

Youn Hyoung Heo

Hujun Yin

Jeongho Jeon

Leo L Strawczynski

Farid Khafizov

Jaemin Han

Vesh Raj Sharma Banjade

Jie Cui

Jong-Kae Fwu

Debdeep Chatterjee

Yujian Zhang

Candy Yiu

Alexandre Saso Stojanovski

Sudeep K Palat

Seau Sian Lim

Andrey Chervyakov

Anthony Lee

Hua Li

Ashvin H Chheda

Jun Li

Chang Hong Shan

Hong He

Dae Won Lee

Qinghua Li

Yang Tang

Alexei Vladimirovich Davydov

Carlos Cordeiro

Peiying Zhu

Ming Jia

Hwan-Joon Kwon

Muthaiah Venkatachalam

Mehmet Yavuz

Joonyoung Cho

Yongjun Kwak

Joey Chou

Sergey Panteleev

Rui Huang

Bharat Shrestha

Richard Charles Burbidge

Gregory Vladimirovich Morozov

Murali Narasimha

Jing Zhu

Yi Guo

Nimal Gamini Senarath

Yi Song

Ahmad Jalali

Ozgur Oyman

Dong-Sheng Yu

Kathiravetpillai Sivanesan

Honglei Miao

Yizhi Yao

Achim Luft

Xixian Chen

Robert Zaus

Farid Adrangi

Pingping Zong

Avik Sengupta

Derek Yu

Yuhan Zhou

Shafi Bashar

Dmitry Belov

Christian Ibars Casas

David Arditti Ilitzky

Nima Ahmadvand

Shuang Tian

Thomas Luetzenkirchen

Ning Guo

This disclosure relates to embodiments broadcasting timing misalignment (TΔ or T_ delta or Tdelta) information in a fifth generation (5G) new radio (NR) integrated access and backhaul (IAB) network. Tdelta information associated with an IAB node is determined based on a downlink (DL) transmit (TX) timing associated with the IAB node and an uplink (UL) receive (RX) timing associated with the IAB node. A determination is made whether the Tdelta information is to common to at least one child node associated with the IAB node and at least one child user equipment (UE) associated with the IAB node. A message having the Tdelta information is generated in response to the determination that the Tdelta information is common to at least one child node associated with the IAB node and at least one child UE associated with the IAB node. The message is broadcast to the child nodes associated with the IAB node and the child UEs associated with the IAB node.

Broadcasting schemes of Tdelta information in fifth generation (5G) new radio (NR) integrated access and backhaul (IAB) network

Embodiments of a system and method for dual connectivity for device to vehicle or vehicle to vehicle communication in a Wireless Network are generally described herein. In some embodiments, processing circuitry may determine a quality of service (QoS) level for data to be transmitted over a first radio access technology (RAT) connection and determine a QoS indicator from the QoS level, the QoS indicator identifying a dual connectivity backup transmission, the dual connectivity backup transmission including a hot, warm, or cold backup. In some embodiments, transceiver circuitry may attempt to transmit the data using a first transmission mode, the first transmission mode using the first RAT connection and the data including the QoS indicator and retransmit, in response to the attempt failing, the data using a second transmission mode.

Dual connectivity for reliability

Embodiments of the present disclosure describe methods and apparatuses for measurements and reports in integrated access and backhaul networks.

Inter-integrated access and backhaul node cross-link interference measurement and reporting

Some embodiments of this disclosure include apparatuses and methods for making a service request in Information Centric Networking (ICN) for next generation cellular networks. The apparatuses and methods can include at least generating, by a user equipment (UE), a service request message comprising access network (AN) parameters and service request parameters, wherein the AN parameters include a fifth generation-system architecture evolution-temporary mobile subscriber entity (5G-S-TMSI) parameter, a selected public land mobile network (PLMN) identifier, or an establishment cause; and transmitting, by the UE, the service request message to a next-generation NodeB (gNB).

Service request procedures in information centric networking for next generation cellular networks

Resource allocation is provided for an integrated access and backhaul (IAB) network, such as a distributed unit (DU) of an IAB. Methods and systems for allocating resources include allocating a first cell-specific pattern of downlink-flexible-uplink (DL-F-UL) availability for one or more slots, allocating a second cell-specific pattern of DL-F-UL availability for the one or more slots. The IAB DU can signal one or more of the first and second cell-specific patterns to an other IAB DU. At least one of the first cell-specific pattern and the second cell-specific pattern defines a slot format different from a DL-F-UL format. Slot format configuration (e.g., semi-static or dynamic SFI) are provided to support space division multiplexing/spatial multiplexing (SDM).

Slot formats for semi-static download-uplink configuration and dynamic slot format indication in integrated access and backhaul networks

Disclosed are methods, systems, apparatus, and computer programs for communicating new random access channel (RACH) configurations for a node in an integrated access and backhaul (IAB) network. In one aspect, a method includes receiving a Radio Resource Control (RRC) message from the IAB node; determining, based on the RRC message, a new random access channel (RACH) configuration; and in response to determining the new RACH configuration, initiating a random access procedure with the IAB node using the new RACH configuration.

Random access channel configuration in an integrated access and backhaul network

Apparatuses for non real-time (Non-RT) radio access network intelligence controller (RIC) and Near-RT RIC services for machine learning (ML) model management in an open radio access network (O-RAN) are disclosed. The services include ML model monitoring, getting and putting ML models from and to an AI-ML producer and an AI-ML consumer, and terminating the use of an ML mode. The ML model monitoring includes the AI-ML consumer sending monitoring data to the AI-ML producer and the AI-ML producer processing the monitoring data and taking actions based on the monitoring data. The services may be performed over the AI interface using HTTP.

ML model management in O-RAN

Systems, methods, and circuitries are provided for communicating DU resource configuration information of a child IAB node to a parent IAB node. An example method includes identifying distributed unit (DU) resource configuration information for an IAB node device functioning as an IAB node in the IAB network, wherein the IAB node is associated with a parent IAB node, and transmitting the DU resource configuration information to the parent IAB node.

Child distributed unit resource configuration information signaling in 5G-NR integrated access backhaul network

A data-centric network and non-Real-Time (RT) RAN Intelligence Controller (RIC) architecture are described. The data-centric network architecture provides data plane functions (DPFs) that serve as a shared database for control functions, user functions and management functions for data plane resources in a network. The DPFs interact with control plane functions, user plane functions, management plane functions, compute plane functions, network exposure functions, and application functions of the NR network via a service interface. The non-RT RIC provides functions via rApps, manages the rApps, performs conflict mitigation and security functions, monitors machine learning (ML) performance, provides a ML model catalog that contains ML model information, provides interface terminations and stores ML data and Near-RT RIC related information in a database. An ML training host trains and evaluates ML models in the catalog, obtains training and testing data from the database, and retrains and updates the ML models.

Data-centric service-based network architecture

Some embodiments of this disclosure include apparatuses and methods for determining synchronization signal block (SSB) periodicity for cell reselection. In some embodiments, user equipment (UE) may establish a first connection with a first integrated access and backhaul (IAB) node using a first SSB periodicity. The UE may perform a cell reselection process and determine whether a number of candidate IAB nodes include a candidate IAB node with a previously stored candidate SSB periodicity corresponding to the candidate IAB node. If the UE identifies a candidate SSB periodicity, the UE may establish a second connection with the candidate IAB node using the candidate SSB periodicity. If the UE does not identify a previously stored candidate SSB periodicity, the UE may establish a second connection with a second IAB node using a second SSB periodicity that is less than the first SSB periodicity.

Synchronization signal block periodicity for cell reselection

An apparatus of an Integrated Access and Backhaul (IAB) node includes processing circuitry coupled to a memory. To configure the IAB node for resource allocation within an IAB network, the processing circuitry is to decode radio resource control (RRC) signaling from a central unit (CU) function of an IAB donor node. The RRC signaling configures first time-domain resources for a parent backhaul link between a mobile termination (M) function of the IAB node and a distributed unit (DU) function of a parent IAB node, and second time-domain resources for a child backhaul link between a DU function of the IAB node and a MT function of a child IAB node. Uplink data is encoded for transmission to the parent IAB node based on the first time-domain resources. Downlink data is encoded for transmission to the child IAB node based on the second time-domain resources.

Resource allocation in IAB networks

Technology for an Information Centric Networking gateway (ICN-GW) operable to modify an ICN message received from a user equipment (UE) in a Fifth Generation (5G) cellular network is disclosed. The ICN-GW can decode the ICN message received from the UE via a Next Generation NodeB (gNB) and an ICN point of attachment (ICN-PoA). The ICN-GW can modify the ICN message to produce a modified ICN message. The ICN-GW can encode the modified ICN message to route the modified ICN message to a data network.

Supporting information centric networking in next generation cellular networks

The present disclosure is directed to systems and methods for conveying remote interference management information via a reference signal. For example, an interference management method may include receiving, at a first device, an interference signal from a second device. At the first device, a reference signal is generated, including mitigation information for remote interference management. The first device may transmit the reference signal to the second device. The method may further include receiving, at the first device, a mitigation response signal indicative of a level of mitigation undertaken by the second device based on the mitigation information that the first device transmitted.

Method for conveying remote interference management information via reference signal

Techniques discussed herein can facilitate reduced frequency of triggering a RLF (Radio Link Failure) timer and/or a false RLF procedure via employing one or more mechanisms for associating BFR (Beam Failure Recovery) and RLF. A first mechanism that can be employed in various embodiments can perform one or more RLF-related actions (e.g., stopping a T310 timer, resetting a N310 counter) upon BFR success. A second mechanism that can be employed in various embodiments can comprise revising one or more RLF parameters (e.g., N310, N311, T310, Out-of-sync threshold, in-sync threshold, etc.) based on the presence of a strong BFR mechanism.

Beam failure recovery and radio link failure association in fifth generation (5G)—new radio (NR)

Disclosed herein are systems and methods for providing low-latency uplink scheduling requests. For instance, a user equipment (UE) can determine a time of transmission of uplink (UL) data by the UE to a UL device. The UE can further generate control data comprising the determined time of transmission and size information for the UL data. The UE can further provide the control data to the UL device prior to providing the UL data to the UL device. The UE can further receive a UL grant from the UL device. The UE can further provide the UL data to the UL device in response to receiving the UL grant.

Low-latency uplink scheduling requests

Growing community of inventors

Plano, TX, United States of America

Geng Wu