Qualcomm Incorporated

Mohammed Ali Mohammed Hirzallah

Srinivas Yerramalli

Xiaoxia Zhang

Marwen Zorgui

Rajat Prakash

Taesang Yoo

Arumugam Chendamarai Kannan

Roohollah Amiri

Ahmed Attia Abotabl

Tao Luo

Ahmed Elshafie

Jing X Sun

Aleksandar Damnjanovic

Muhammad Sayed Khairy Abdelghaffar

Vinay Chande

Marco Papaleo

Giovanni Chisci

Mohammad Tarek Fahim

Vasanthan Raghavan

A method for aided ambient Internet-of-Things signaling includes: obtaining, at the first network entity, one or more ambient device signal configuration characteristics for the ambient device; obtaining, at the first network entity, one or more sensing/positioning signal configuration characteristics; and transmitting, from the first network entity to one or more UE/RAN nodes (user equipment/radio access network nodes), a combined ambient and sensing/positioning signal configuration based on the one or more ambient device signal configuration characteristics and the one or more sensing/positioning signal configuration characteristics, a combined ambient and sensing/positioning signal according to the combined ambient and sensing/positioning signal configuration being able to convey ambient information and serve as a positioning signal, or being able to convey the ambient information and serve as a sensing signal.

Aided ambient internet of things

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a discovery burst from a network entity during the transmission duration. The received discovery burst may indicate a duplex operation mode used at the network entity for transmission of the discovery burst and a type of channel access procedure associated with a random access occasion included in the transmission duration. The UE may transmit a random access message to the network entity during the random access occasion based on a success of a channel access procedure. The channel access procedure may correspond to the indicated type of channel access procedure.

Techniques for transmitting discovery bursts using full duplex operations

A signal time delay estimation method includes: obtaining, at an apparatus, a plurality of RFFPs (radio frequency fingerprints) each based on a plurality of signal measurements of respective signals transferred between respective ones of a plurality of wireless signal transfer devices; obtaining, at the apparatus, a plurality of locations corresponding to the plurality of wireless signal transfer devices; and implementing, at the apparatus, a machine-learning algorithm to provide at least one first indication of at least one first signal time delay to convert between a first wireless signal at a target device, of the plurality of wireless signal transfer devices, and a first baseband signal at the target device based on the plurality of RFFPs and the plurality of locations.

Timing error estimation

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) transmits one or more provide capabilities messages to a location server, the one or more provide capabilities messages indicating at least a first set of capabilities of the UE to engage in a downlink radio frequency fingerprint (DL-RFFP) positioning procedure, and receives one or more positioning assistance data messages for the DL-RFFP positioning procedure from the location server, the one or more positioning assistance data messages based at least on the first set of capabilities.

User equipment (UE)-based radio frequency fingerprint (RFFP) positioning with downlink positioning reference signals

This disclosure provides systems, methods, and devices for wireless communication that support fifth generation (5G) new radio (NR) radio frequency (RF) sensing with polarization configuration. In a first aspect, a method of wireless communication includes receiving at a network node participating in 5G NR RF sensing a first polarization indicator and a second polarization indicator from a network entity. The first polarization indicator is associated with transmission of a first reference sensing signal and the second polarization indicator is associated with reception of a second reference sensing signal. The network node performs sensing measurements using the first polarization indicator and the second polarization indicator and transmits a sensing measurement report including the sensing measurements associated with the second reference sensing signal to the network entity. Other aspects and features are also claimed and described.

Fifth generation new radio radio frequency sensing with polarization configuration

A sensing method includes: implementing, at a UE, a sensitivity time control profile to change a gain applied over time to a sensing signal received by the UE; and measuring the sensing signal to obtain a sensing signal measurement; wherein the method comprises at least one of: obtaining the sensitivity time control profile based on a sensitivity time control message received by the UE from a network entity; or transmitting a sensing report from the UE to the network entity, the sensing report indicating a measurement of the sensing signal and that sensitivity time control was implemented to obtain the sensing signal measurement.

Sensitivity time control signaling

Disclosed are techniques for UE-based wireless positioning. In an aspect, a user equipment (UE) may acquire, from a first set of transmission/reception entities (TREs), a first set of measurements of signals. The UE may select, from the first set of TREs, a second set of TREs, based on criteria for selecting and/or prioritizing TREs for radio frequency fingerprint (RFFP)-based positioning. The UE may acquire, from the second set of TREs, a second set of measurements, the second set of measurements comprising RFFP measurements. The UE may estimate a position of the UE based on the second set of measurements. In an aspect, the UE may input the second set of measurements into a trained machine learning (ML) model that outputs an estimated position of the UE. In an aspect, the UE receives the selection/prioritization criteria and/or the trained ML model from a network node.

Signaling of measurement prioritization criteria in user equipment based radio frequency fingerprinting positioning

Methods, systems, and devices for wireless communications are described that provide for mitigation of interference related to full-duplex communications for random access channel (RACH) initial access procedures in shared radio frequency spectrum. A user equipment (UE) may send different RACH preambles subsequent to a channel access procedure, based on whether full-duplex communications or half-duplex communications are being used at a corresponding network entity. The different RACH preambles may include a longer RACH preamble that is used when full-duplex is present, and a shorter RACH preamble that is used when full-duplex is not present. The shorter or longer RACH preamble may be used, for example, based at least in part on an open-loop transmit power for the RACH procedure, a RACH occasion configuration that provides different preamble lengths for different RACH occasions, a full-duplexing type that is being used, or any combinations thereof.

Random access preamble techniques in full-duplex wireless communications

Aspects described herein relate to adapting one of a parameter for transmitting a signal as a narrow beam in a wireless network or a corresponding threshold based on an operating bandwidth. A node can determine whether a condition is met for narrow beam channel access based on the bandwidth-adjusted (or bandwidth-specific) parameter or threshold.

Techniques for normalizing narrow beam channel access parameters based on bandwidth in wireless communications

In some implementations, a base device may determine a quali-colocation (QCL) relation between a first wireless reference signal transmitted by a first sidelink (SL) anchor and a second wireless reference signal transmitted by a second SL anchor, wherein: the first SL anchor and the second SL anchor comprise UEs separate from the receiving UE, and the first wireless reference signal and the second wireless reference signal are transmitted for positioning of the receiving UE, performing radio frequency (RF) sensing, or both. The base device may wirelessly send, from the base device to the receiving UE, the mSL-QCL information, wherein the mSL-QCL information is indicative of the QCL relation between the first wireless reference signal and the second wireless reference signal.

Multi-anchor sidelink quasi-colocation indication and configuration for enhanced positioning and sensing

Wireless communications systems and methods related to accessing a channel based on an interference condition in a wireless communication network are provided. For example, a method of wireless communication performed by a wireless communications device may include receiving, from a second wireless communication device, one or more signals associated with a beam parameter, determining, at each of a plurality of locations, a signal measurement for at least one received signal of the one or more received signals, and determining, based at least in part on a cumulative distribution of the signal measurements at the plurality of locations and a reference probability distribution, whether the second wireless communication device satisfies an interference condition. Other features are also claimed and described.

Divergence statistical approach for narrow beam-based channel access

Methods, systems, and devices for wireless communications are described. The method may include the user equipment (UE) receiving control signaling indicating a set of schemes for reporting an environmental state associated with the UE and measuring one or more channel characteristics according to a scheme of the set of schemes. Moreover, the UE may transmit a report indicating the environmental state associated with the UE based on measuring the one or more channel characteristics. A machine learning model implemented by the UE, a network entity, or both is based on the indicated environmental state associated with the UE.

Reporting environmental states of a user equipment

In an aspect, a method of wireless communication performed by a user equipment (UE) includes receiving first assistance data indicating a first set of network devices, wherein the first assistance data indicates that the first set of network device are to be used for obtaining radio frequency fingerprint positioning (RFFP) measurements during a model monitoring occasion in which performance of a positioning model is to be monitored; receiving second assistance data indicating a second set of network devices for obtaining a second set of RFFP measurements during a positioning occasion in which the performance of the positioning model is not monitored; and measuring position reference signals (PRS) of the first set of network devices during the model monitoring occasion.

Node configuration for positioning model monitoring

Methods performed by a network node includes obtaining a plurality of radio frequency fingerprint positioning (RFFP) measurements associated with known positioning parameters associated with a known location of a user equipment (UE) are described. Each RFFP measurement of the plurality of RFFP measurements is further associated with a transmission point configuration of a plurality of transmission point configurations; and training a positioning model to provide an estimate of one or more positioning parameters associated with a location of the UE. The training of the positioning model is based on the plurality of RFFP measurements, known positioning parameters associated with the known location, and the plurality of transmission point configurations.

Positioning model based on multiple transmission point and/or multiple bandwidth configurations

Aspects presented herein may enable an LMF to configure AI/ML-based techniques/measurements for a set of base stations/TRPs to improve the performance of UL-based positioning. In one aspect, a network entity transmits a configuration to at least one network node to configure the at least one network node to perform an UL-based positioning measurement with at least one ML model, where each of the at least one ML model is associated with a corresponding ML model ID in which the at least one network node uses for the UL-based positioning measurement, where the UL-based positioning measurement is for a set of SRSs from a UE. The network entity receives the UL-based positioning measurement for the set of SRSs from the at least one network node. The network entity estimates a position of the UE based on the UL-based positioning measurement for the set of SRSs.

Growing community of inventors

San Diego, CA, United States of America

Mohammed Ali Mohammed Hirzallah