Qualcomm Incorporated

Aziz Gholmieh

Srinivasan Balasubramanian

Gavin Bernard Horn

Danlu Zhang

Ozcan Ozturk

Sharad Deepak Sambhwani

Arnaud Meylan

Xipeng Zhu

Shailesh Maheshwari

Leena Zacharias

Masato Kitazoe

Rohit Kapoor

Bibhu P Mohanty

Reza Shahidi

Mehmet Yavuz

Peter S Gaal

Taesang Yoo

Arvind Vardarajan Santhanam

Rajat Prakash

Miguel Griot

Sitaramanjaneyulu Kanamarlapudi

Francesco Grilli

Juan Montojo

Nathan Edward Tenny

Jilei Hou

Sivaramakrishna Veerepalli

Arjun Bharadwaj

Ravi Agarwal

Tao Luo

Alexei Yurievitch Gorokhov

Umesh Phuyal

Kuo-Chun Lee

Prasad Reddy Kadiri

Keiichi Kubota

Linhai He

Tom Chin

Haris Zisimopoulos

Thomas Klingenbrunn

Shyamal Ramachandran

Junyi Li

Xiaoxia Zhang

Aleksandar Damnjanovic

Srinivas Yerramalli

Edward George Tiedemann, Jr

Hamed Pezeshki

Stein Arne Lundby

Amir Aminzadeh Gohari

Liangchi Hsu

Pavan Kumar Vitthaladevuni

Jon James Anderson

Tingfang Ji

Heechoon Lee

Sanjiv Nanda

Sumeeth Nagaraja

Andrei Dragos Radulescu

Farhad Meshkati

Ajith Tom Payyappilly

Wanshi Chen

Alberto Rico Alvarino

Naga Bhushan

Yongbin Wei

Krishna Kiran Mukkavilli

Durga Prasad Malladi

Peter Pui Lok Ang

Hwan Joon Kwon

Tao Chen

Soo Bum Lee

Prashanth Haridas Hande

Hari Sankar

Muthukumaran Dhanapal

Lenaig Genevieve Chaponniere

Valentin Alexandru Gheorghiu

Ragulan Sinnarajah

Wei Zeng

Seyedkianoush Hosseini

Alexandros Manolakos

Huilin Xu

Wei Jennifer Yang

Tamer Adel Kadous

Liang Zhao

Jing Lei

Le Liu

Raghu Narayan Challa

Jay Kumar Sundararajan

Peerapol Tinnakornsrisuphap

Sai Yiu Duncan Ho

Parag Arun Agashe

Peng Cheng

Brian Clarke Banister

Vinay Chande

Weimin Duan

Mungal Singh Dhanda

Min Wang

Amir Farajidana

Osok Song

Yongjun Kwak

Kirk Allan Burroughs

Manoj Madhukar Deshpande

Wei Yang

Gerardo Giaretta

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a target network node may receive, from a source network node, delay status information associated with a user equipment (UE) served by the source network node, wherein the delay status information is associated with one or more logical channels (LCHs). The target network node may receive, from the UE during a random access channel (RACH) procedure, one or more messages that include one or more delay status reports associated with the one or more LCHs. The target network node may transmit, to the UE during a handover of the UE from the source network node, one or more messages indicating one or more uplink scheduling parameters for the one or more LCHs based on the delay status information and the one or more delay status reports associated with the one or more LCHs.

Delay status and/or delay statistics reporting to maintain continuity during handover

Methods, systems, and devices for wireless communications are described. In the context of a service-based wireless system, a user equipment (UE) may identify (e.g., via signaling from the network or based on a subscriber identity module (SIM)) a set of core network services offered by a service-based network that interfaces with a radio access network (RAN) associated with the network entity. Each of the respective core network services may be associated with a corresponding network address. The UE may transmit a service request to a network address associated with a core network service included within the set of offered core network services, and may receive a service context for communicating with the core network service in response to the service request. The UE may then communicate service messages with the core network service (via the network entity) in accordance with the received service context.

Techniques for service establishment in a service-based wireless system

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a measurement configuration including trigger conditions for performance of handover procedures within a service-based wireless system. The UE may transmit a message indicating a satisfaction of a trigger condition to a source network entity, a mobility service offered by a service-based network, or both. After performance of a handover decision by the source network entity, the mobility service, or both, the mobility service may select a target network entity for the handover procedure. The mobility service may select a target network entity that supports at least one active core network service at the UE. The UE may then receive a handover command from the mobility service, and may perform a handover procedure to the target network entity.

Techniques for connected state mobility in a service-based wireless system

Methods, systems, and devices for wireless communications are described. An end-to-end routing layer may address packets between a user equipment (UE) and core network services offered by a service-based network on a per-core network service basis. A UE may communicate directly with a core network service (e.g., based on a network address associated with the core network service) or indirectly (e.g., through a proxy service). The UE may select access stratum (AS) resources over which to transmit an uplink packet data unit based on the target core network service. The UE may receive control signaling from a distributed unit, a system information block (SIB), or point-to-point signaling from the core network services indicating specific AS resources for each core network service. The UE may select logical channels for transmitting the uplink packet data units to specific core network services based on the AS resources associated with each service.

Addressability in a service-based wireless system

Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

Configuring a user equipment for machine learning

Methods, systems, and devices for wireless communications are described. In the context of a service-based wireless system, a user equipment (UE) may communicate with one or more core network services offered by a service-based network, where respective core network services are in one of an active, inactive, or unconnected state at the UE. The UE may be configured to maintain service contexts for communicating with core network services that are in an active or an inactive state at the UE, where signaling between the UE and each respective core network service may be used to activate or deactivate the respective core network services at the UE between the active and inactive states. By maintaining service contexts for inactive core network services, the UE may be able to quickly and efficiently resume communications with a core network service in accordance with the stored service context upon activating the core network service.

Techniques for service states in a service-based wireless system

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may perform radio link monitoring (RLM) reference signal measurements on a primary secondary cell (PSCell) while the UE is operating in a secondary cell group (SCG) deactivated state. The UE may perform beam failure detection (BFD) reference signal measurements while the UE is operating in the SCG deactivated state. The UE may transmit, to a master node associated with a master cell group (MCG), an SCG failure information message based at least in part on one of: a PSCell radio link failure (RLF) detection based at least in part on the RLM reference signal measurements, or a BFD based at least in part on the BFD reference signal measurements. Numerous other aspects are described.

User equipment communications while operating in a secondary cell group deactivated state

Methods, systems, and devices for wireless communications are described. In the context of a service-based wireless system, a network entity of a random access network (RAN) may aggregate system information block (SIB) configurations from multiple core network services, where the core network services are offered or provided by a service-based network that interfaces with the RAN. After aggregating the SIB configurations, the network entity may relay or broadcast system information (e.g., SIB containers) to UEs communicatively coupled to the RAN on behalf of the core network services.

Techniques for system information broadcast in a service-based wireless system

A method of wireless communication, by a transmitting device, includes encoding information packets with an outer code to generate a first outer codeword. The first outer codeword includes information packets in addition to parity packets. The method also includes transmitting, to a receiving device, the information packets and the parity packets of the first outer codeword, according to a sequence. A method of wireless communication by a receiving device, includes receiving packets belonging to a first outer codeword, the packets including information packets and parity packets. The method also includes storing the packets in a buffer; and flushing the packets from the buffer in response to satisfying a condition.

Outer code for upper layer data units

Methods, systems, and devices for wireless communications are described. In a service-based network, groups of core network services may share a user equipment (UE) credential or network subscription. Signaling between a UE and a service-based network (e.g., via a distributed unit) enables the UE to establish a service context for communications with multiple core network services in a same service group. A UE may receive control signaling from the network indicating service groups offered by the service-based network. The control signaling may indicate the services included in each service group and how to access the service group. The UE may transmit an access request indicating a selected service group to the network, and in response, the network may indicate a service context for communicating with the services included in the service group. The UE may use the same service context to access the different services in the service group.

Service groups in a service-based wireless system

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a primary cell or a primary secondary cell (PSCell), configuration information for a conditional PSCell addition or change (CPAC), the configuration information indicating configurations for one or more candidate PSCells. The UE may detect a failure, associated with the conditional PSCell addition or change, associated with a first target PSCell from the one or more candidate PSCells. The UE may perform an action to recover the CPAC based at least in part on detecting the failure. Numerous other aspects are described.

Conditional primary secondary cell addition or change recovery procedure

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may initiate one of a conditional handover (CHO) procedure or a conditional primary secondary cell addition/change (CPAC) procedure. The UE may perform a response action with regard to a configuration of the other of the CHO procedure or the CPAC procedure based at least in part on initiating the one of the CHO procedure or the CPAC procedure. Numerous other aspects are described.

Handling of conditional handover and conditional primary secondary cell change

Methods, systems, and devices for wireless communications are described. In some examples, a user equipment (UE) may support dual connectivity. That is, the UE may establish communications with a master node and a secondary node of a wireless communications network. The master node may correspond to a master cell group (MCG) and the secondary node may correspond to a secondary cell group (SCG). In some examples, as described herein, the UE operating in dual connectivity may collect data for optimization of the wireless communications network or upon detecting a failure associated with the master cell group or the SCG and transmit the collected data to a network entity (e.g., one of the master node or the secondary node), where the collected data is based on the SCG being in a deactivated state. In some examples, upon receiving the collected data, the network entity may attempt to recover from the failure.

Data collection enhancements for secondary cell groups

Aspects described herein relate to receiving, from a network node, a list of supported models or model structures (MS) identifiers (IDs) per machine learning function name (MLFN) or machine learning feature (MLF) at the network node, updating a capability at the UE to an updated capability based on the list of supported models or MS IDs per MLFN or MLF at the network node, and downloading, at the UE and from a model repository, one or more models or MSs per MLFN or MLF based on the updated capability and available resources at the UE. Other aspects relate to transmitting the list of supported models or MS IDs and configuring use of a model or MS ID for a particular MLFN or MLF.

Techniques for downloading models in wireless communications

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit capability information that indicates support for one or more model combinations of machine learning (ML) models, wherein the capability information further indicates one or more performance parameters of an ML model of the ML models with respect to a model combination of the one or more model combinations that includes the ML model. The UE may receive one or more indications to use one or more of the ML models based at least in part on the capability information. Numerous other aspects are described.

Performance indicators for combinations of machine learning models

Growing community of inventors

Del Mar, CA, United States of America

Aziz Gholmieh