Qualcomm Incorporated

Tianyang Bai

Tao Luo

Junyi Li

Yan Zhou

Kiran Venugopal

Jung Ho Ryu

Vasanthan Raghavan

Makesh Pravin John Wilson

Wooseok Nam

Juergen Cezanne

Xiaoxia Zhang

Sony Akkarakaran

Hua Wang

Qian Zhang

Sungwoo Park

Sundar Subramanian

Kapil Gulati

Muhammad Nazmul Islam

Ling Ding

Navid Abedini

Mostafa Khoshnevisan

Juan Montojo

Bilal Sadiq

Peter S Gaal

Jing X Sun

Jelena Damnjanovic

Ruhua He

Joseph Binamira Soriaga

Alexandros Manolakos

Mahmoud Taherzadeh Boroujeni

Piyush Gupta

Xiaojie Wang

Jianghong Luo

Raghu Narayan Challa

Zhifei Fan

Naga Bhushan

Alexei Yurievitch Gorokhov

Xiao Feng Wang

Ashwin Sampath

Pavan Kumar Vitthaladevuni

Lik Hang Silas Fong

Gabi Sarkis

Ozge Koymen

Andrzej F Partyka

Kobi Ravid

Taesang Yoo

Linhai He

Ahmed Abdelaziz Ibrahim Abdelaziz Zewail

Mohammad Ali Tassoudji

Danlu Zhang

Yong Li

Jun Zhu

Yu-Chin Ou

Yavuz Yapici

Aleksandar Damnjanovic

Arumugam Chendamarai Kannan

Shay Landis

Hamed Pezeshki

Jingchao Bao

Hari Sankar

Amir Aminzadeh Gohari

Raju Hormis

Ruiming Zheng

Konstantinos Dimou

Yuwei Ren

Meilong Jiang

Jae Won Yoo

Ori Shental

Ahmed Bedewy

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, a configuration of a beam prediction model that is trained to predict beam measurements for a set of beams. The UE may receive, from the network node, an indication of a subset of beams, from the set of beams, that are to be associated with a measurement report. The UE may transmit, to the network node, the measurement report indicating one or more predicted beam measurements that are based at least in part on an output of the beam prediction model, the output of the beam prediction model including beam predictions associated with the set of beams, and the one or more predicted beam measurements including information associated with the subset of beams. Numerous other aspects are provided.

Disabling beam prediction outputs

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit, to a base station, a UE capability report that indicates which transmission configuration indicator (TCI) state types the UE is able to support when using a sounding reference signal (SRS) as a source reference signal for a TCI state. The UE may receive, from the base station, a configuration for one or more TCI state types for the SRS as the source reference signal based at least in part on transmitting the UE capability report. Numerous other aspects are described.

Transmission configuration indicator state types for sounding reference signal as source reference signal

Wireless communications systems and methods can prioritize updated indication (TCI) states. A method of wireless communication, performed by a user equipment includes receiving first downlink control information (DCI). The first DCI indicates a first (TCI update. The method also includes receiving second DCI. The second DCI indicates a second TCI update different than the first TCI update. The method also includes transmitting, based on the first DCI, a first acknowledgement (ACK) associated with the first DCI. The method further includes transmitting, based on the second DCI, a second ACK associated with the second DCI. The method further includes switching, based on a prioritizing of the first TCI update or the second TCI update, from a first TCI state to a second TCI state.

Transmission configuration indication (TCI) in downlink control information (DCI) rules and associated techniques

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling (e.g., from a network entity) indicating a CLI measurement resource and an associated transmission configuration indicator (TCI) state. The UE may generate and transmit a CLI report to the network entity using the CLI measurement resource and the beam associated with the indicated TCI state. In some cases, the control signaling may indicate to use the same TCI state as another dedicated downlink channel configured for the UE. In some cases, the control signaling may indicate a unified TCI state to apply for the CLI measurement. In some cases, a UE may be configured to communicate with multiple transmission and reception points (TRPs). The TCI state to apply to the CLI measurement may be based on the TRP scheduling the CLI measurement.

Unified transmission configuration indicator state indication for cross-link interference measurement

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a beam based at least in part on using at least a first antenna panel. The UE may transmit a rank indicator and UE assistance information (UAI), the UAI comprising a self-interference metric associated with operating in a full duplex mode based at least in part on using the at least first antenna panel. Numerous other aspects are described.

Self-interference feedback for multiple antenna panels

Methods, systems, and devices for wireless communications are described in which different component carriers (CCs) or bandwidth parts (BWPs) of a system operating according to carrier aggregation may be configured with different transmission configuration indicator (TCI) states. A base station may transmit control information to a user equipment (UE) to activate two or more CCs, and that indicates two or more different sets of TCI states that are activated for the two or more CCs. The control information may be transmitted to the UE in a single MAC-CE. The single MAC-CE to activate different sets of TCI states at CCs or BWPs may allow for a reduced number of MAC-CEs used for conveying the set of active TCI states for the CCS or BWPs.

Transmission configuration indicator state activation techniques for carrier aggregation

Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for determining when to apply downlink control information (DCI) based updates using cross-component carrier (cross-CC) scheduling. A method that may be performed by a user equipment (UE) includes receiving, on a first component carrier (CC), a DCI indicating an update to be applied to at least one of an uplink (UL) transmission or a downlink (DL) transmission, determining an application time for applying the update based, at least in part, on a parameter associated with one or more second CCs, and applying the update in accordance with the determined application time.

Application time for DCI based update in cross-carrier scheduling

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a base station, a control message including a first indication for updating a beam for communicating with the base station to a first beam and a second indication for configuring a set of reference signals for measuring the first beam. The UE may measure the first beam using the reference signals. The UE may communicate with the base station based on the beam measurement. The control message may include a format for jointly indicating beam updates and reference signal configurations.

Control signaling for beam update and reference signals

Methods, systems, and devices for wireless communications are described. A device such as a user equipment (UE) may receive, via network signaling, an assistance information message that includes network configuration information corresponding to one or more inputs of an interference-prediction machine learning model. The network configuration information may include a set of parameters associated with one or more neighboring cell configurations. The UE may then generate, using the interference-prediction machine learning model, a channel interference prediction corresponding to one or more communication links at the UE based on the network configuration information included in the assistance information message. The UE may then communicate with a network entity based on the generated channel interference prediction.

Interference prediction with network configuration information

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a downlink beam indication for at least one of a channel, a resource, a resource set, a bandwidth part, or a component carrier; and use the downlink beam indication for a group of channels, resources, resource sets, bandwidth parts, or component carriers. In some aspects, a UE may receive an indication of a spatial relation and multiple physical uplink control channel (PUCCH) resources to which the spatial relation is to be applied; and use the spatial relation to transmit on one or more PUCCH resources of the multiple PUCCH resources. Numerous other aspects are provided.

Group-based beam indication and signaling

Certain aspects of the present disclosure provide techniques for beam failure detection and recovery. A method that may be performed by a user equipment (UE) includes monitoring one or more reference signals for beam failure detection for a plurality of component carriers (CCs), detecting a beam failure for a subset of one or more CCs of the plurality of CCs based on the one or more reference signals, generating a beam failure recovery request (BFRQ) indicating that a beam failure has occurred for the plurality of CCs in response to the detection of the beam failure for the subset of one or more CCs, and transmitting the BFRQ.

Joint failure of component carrier (CC) groups

Methods, systems, and devices for wireless communication are described. A machine learning server may generate a low-dimensional parameter set representing training data for the machine learning server, the training data being associated with one or more communication environments or one or more channel environments, or a combination thereof. The machine learning server may receive, from one or more devices within a communication environment or within a channel environment, or both, a low-dimensional parameter set representing testing data associated with the communication environment or the channel environment, or both. The machine learning server may generate a reproducibility metric according to a correlation between the parameter set representing the training data and the parameter set representing the testing data. The machine learning server may transmit a message indicating the reproducibility metric to the one or more devices, and the one or more devices may perform communication procedures based on the reproducibility metric.

Techniques for reporting correlation metrics for machine learning reproducibility

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may identify a transmission configuration indicator (TCI) state to use for communications with a network entity after switching between TCI modes (e.g., a joint TCI state mode and a separate TCI states mode for uplink transmission and downlink reception). A UE may autonomously switch between the TCI modes based on a trigger event, and may send an indication to a network entity of the trigger event prior to communicating. A UE may identify a TCI configuration with unconfigured power control parameters. The UE may determine a common power control configuration for communicating with a network entity based on applying a rule to the TCI configuration to determine the power control parameters.

Transmission configuration indicator state mode switching

A method for wireless communication at a user equipment (UE) and related apparatus are provided. In the method, the UE receives a configuration of multiple application time values for transmission configuration indication (TCI) state updates. The UE further receives downlink control information (DCI) in a control resource set (CORESET) associated with a first CORESET pool index associated with a first transmission reception point (TRP) and including a transmission configuration indication (TCI) state associated with a second CORESET pool index associated with a second TRP. The UE further transmits acknowledgement/negative acknowledgement (ACK/NACK) feedback to one or more TRPs based on a feedback mode configured for the UE, and applies the TCI state indicated in the DCI following the ACK/NACK feedback based on one of the multiple application time values and the feedback mode.

Different beam application time durations for same or cross TRP beam indication

This disclosure provides methods, devices and systems for beamforming in wireless communications. Some implementations more specifically relate to beamforming configurations for multicast communications. A transmitting device may transmit multicast data to multiple receiving devices, concurrently, via a physical downlink shared channel (PDSCH). The PDSCH may be preceded by a physical downlink control channel (PDCCH). The PDCCH may provide scheduling information for the PDSCH, including a multicast beam associated with the PDSCH and a timing offset or delay between the PDCCH and the PDSCH. A receiving device may determine that the PDSCH contains multicast data based on an indication in the PDCCH. To receive the PDSCH, each receiving device may tune its antennas in a direction of the scheduled multicast beam or a default beam based on the delay between the PDCCH and the PDSCH.

Beamforming in multicast communications

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Bridgewater, NJ, United States of America

Tianyang Bai