Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may transmit assistance information indicating a type of in-device coexistence (IDC) interference at the UE, and indicating a set of associated interference parameters that correspond to an interference pattern of the IDC interference in a time domain, a frequency domain, or both. The set of interference parameters and the interference pattern may describe a pattern of the IDC interference in the time domain, the frequency domain, or both. The UE may receive a message indicating one or more operating parameters associated with a time period that is based on the interference pattern. The operating parameters may be based on the type of IDC, the set of interference parameters, and the interference pattern, and may enable the UE to communicate with a network entity to maintain signaling throughput while decreasing effects of the IDC interference.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by a user equipment (UE). The UE receives a configuration for at least one machine learning function name (MLFN). The UE receives machine learning (ML) data associated with the at least one MLFN. The UE uses the ML data as an input for at least one of: operation or training of an ML model associated with the at least one MLFN.

Abstract: 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.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first base station central unit (CU) may transmit, and a second base station CU may receive, first inter-CU signaling including information related to cross-link interference (CLI) experienced by or to be measured by one or more victim downstream nodes associated with the first base station CU. The second base station CU may configure one or more aggressor downstream nodes to transmit one or more signals based at least in part on the first inter-CU signaling. The second base station CU may transmit, and the first base station CU may receive, second inter-CU signaling indicating a configuration associated with the signals to be transmitted by the one or more aggressor downstream nodes based at least in part on the first inter-CU signaling. Numerous other aspects are provided.

Abstract: A user equipment (UE) disconnects from next generation radio access network (NG-RAN) base station (BS) and receives, from the NG-RAN BS, a fallback indication. The UE then attempts to connect to an evolved-universal mobile telecommunications system terrestrial radio access network (E-UTRAN) BS. The UE determines that communication with the E-UTRAN BS was not established and identifies an alternate BS. After establishing communication with the alternate BS, the UE generates and transmits a report to the alternate BS including the fallback indication and information relating to the failed connection attempt with the E-UTRAN BS. The report is then conveyed to the NG-RAN BS for optimization of future fallback procedures.

Abstract: Certain aspects of the present disclosure provide a method of wireless communication. An example method, performed at a first network entity, includes receiving a measurement report from a user equipment (UE) that supports dynamic mobility signaling via physical (PHY) layer or medium access control (MAC) layer signaling, wherein the measurement report includes at least one of PHY layer or MAC layer measurements, and transmitting the measurement report to a second network entity, based on an event trigger.

Abstract: Methods, devices, and mechanisms for detecting and reporting successful secondary node and/or primary secondary cell group cell (PScell) changes are provided. In one example, a method of wireless communication performed by a first network unit comprises: transmitting, to a second network unit, an indication of a primary secondary cell group cell (PScell) change associated with a user equipment (UE); transmitting, based on the indication, a SPC configuration; and receiving a SPC report, wherein the SPC report is based on the SPC configuration and SPC information associated with the UE.

Abstract: A UE may select one or more paging attributes for paging reception. The one or more paging attributes may be selected from a set of network supported paging attributes. The UE may transmit, to a network, an indication of the one or more paging attributes for paging reception. The UE may receive, from the network, a response message based on the indication of the one or more paging attributes. The response message may include a first UE group number. The first UE group number may be based on at least the one or more paging attributes. The UE may receive a paging indication including a UE group number. The UE may proceed to receive and decode the paging message associated with the paging indication when the UE group number in the paging indication matches the first UE group number. Otherwise, the UE may safely disregard the paging message.

Abstract: In some aspects, a user equipment (UE) may receive, via a first radio access technology (RAT), system information that identifies a set of frequencies of a second RAT and one or more available multicast or broadcast (MB) services. The UE may trigger a switch from a first multicast radio bearer (MRB), of the first RAT, to a first unicast dedicated radio bearer (DRB), of the first RAT, for reception of an MB service via the first RAT. The UE may transmit an indication that indicates the MB service or a frequency via which the MB service is available via the second RAT. The UE may receive an MRB configuration associated with receiving the MB service via a target base station using the second RAT. The UE may switch from a second unicast DRB, of the second RAT, to a second MRB, of the second RAT, after handover.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may selectively determine to decode a downlink shared channel multicast transmission based on whether the downlink shared channel includes a retransmission of an initial multicast transmission. A base station may transmit a message in a downlink control channel to indicate if the downlink shared channel is carrying the retransmission of the initial multicast transmission. For example, the base station may transmit a group random network temporary identifier, downlink control information with a retransmission indicator bit, or both to indicate if the downlink shared channel is carrying the retransmission. In some cases, the message in the downlink control channel may be received at a layer one (L1) of the UE, and the downlink shared channel transmission may be decoded at L1 of the UE and sent to a layer two (L2) of the UE for processing.

Abstract: Methods, systems, and devices for wireless communications are described. The method may include receiving, from a base station and while the UE is operating in a first mode, a broadcast transmission that includes a reference signal configuration for communications between the base station and the UE, the reference signal configuration indicating one or more reference signal parameters and the first mode being either an idle mode or an inactive mode, receiving, while operating in the first mode, one or more reference signals from the base station in accordance with the reference signal configuration, and determining one or more channel measurements based on the one or more reference signals received from the base station.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a network node configures a quality of service (QoS) profile comprising one or more file-level QoS parameters, wherein the QoS profile applies to one or more files associated with a service flow associated with a user equipment (UE), wherein each file of the one or more files comprises one or more protocol data units (PDUs), and wherein a header of each PDU of the one or more PDUs of the file includes a file identifier and a file type of the file, and enforces the QoS profile on the one or more files.

Abstract: Disclosed are techniques for wireless communication. In an aspect, a network node configures a quality of service (QoS) profile comprising one or more file-level QoS parameters, wherein the QoS profile applies to one or more files associated with a service flow associated with a user equipment (UE), wherein each file of the one or more files comprises one or more protocol data units (PDUs), and wherein a header of each PDU of the one or more PDUs of the file includes a file identifier and a file type of the file, and enforces the QoS profile on the one or more files.

Abstract: Methods, systems, and devices for wireless communications are described. A communication link between the UE and a serving base station may be established. The UE may measure, at an application layer of the UE, a set of quality of experience variables associated with different service types. The UE may measure, at an access stratum of the UE, a set of radio resource management variables associated with the communication link between the UE and the serving base station and a communication link between the UE and a corresponding set of one or more neighboring base stations associated with the communication links. The UE may transmit a measurement report to the serving base station indicating information associated with the quality of experience variables and the radio resource management variables in a multi-layer readable format.

Abstract: The user equipment (UE) may evaluate link qualities between the UE and target primary secondary cell group (SCG) cells (PSCells) respectively associated with target secondary nodes, select a target PSCell from the target PSCells based on the link qualities and execution conditions respectively associated with the target PSCells of the target secondary nodes, initiate a conditional execution procedure to connect to a target secondary node corresponding to the selected target PSCell, and responsive to a source SCG state corresponding to a source PSCell of a source secondary node being a deactivated state, perform either: changing an SCG state at the UE to an activated state and performing a random access channel (RACH) procedure on the selected target PSCell to perform the conditional execution procedure to connect to the selected target PSCell, or maintaining the SCG state at the UE as the deactivated state without performing a RACH procedure.

Abstract: A source network node and a UE may obtain at least one mobility related prediction associated with the UE or at least one target network node, the at least one mobility related prediction being derived by at least one neural network, and the source network node may handover the UE from the source network node to the at least one target network node based on the at least one mobility related prediction. The target network node may receive the handover request, obtain at least one mobility related prediction associated with the UE or the target network node, and output for transmission a handover request ACK, the handover request ACK based at least in part on the at least one mobility related prediction.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communication by a first network entity of a first network of a first network operator. A method includes receiving, from a second network entity of a second network of a second network operator, frequency allocation information indicating a first allocation pattern identifying, for each of at least one cell, a corresponding frequency channel band of a frequency band spanning a plurality of frequency channel bands, wherein the first allocation pattern identifies a first frequency channel band of the plurality of frequency channel bands for a first cell of the at least one cell; and sending an indication to at least a first user equipment (UE) indicating to communicate in the first cell using a second frequency channel band of the plurality of frequency channel bands that is different than the first frequency channel band.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a message from a network entity indicating a set of machine learning models, a set of parameter sets, or both and one or more usage conditions associated with the machine learning models and parameter sets. Based on a usage condition being satisfied, the UE may select a machine learning model, a parameter set, or both for generating a machine learning inference. For example, the UE may select the machine learning model or the parameter set based on a priority, whether sufficient input data is provided, or based on other usage conditions. The UE may generate the machine learning inference using the selected machine learning model or the selected parameter set, and the UE may transmit a report indicating an output of the machine learning inference to the network entity.

Abstract: Certain aspects of the present disclosure provide techniques for cell group configuration and backhaul coordination for remote interference management. Aspects of the present disclosure provide a method for communications by a base station (BS). The BS receives a first configuration configuring a cell in at least one group of cells and configuring the cell with a group identification (ID). The BS receives a second configuration configuring the cell for at least one of: remote interference management reference signal (RIM-RS) transmission or RIM-RS detection. The BS performs a remote interference management procedure based on at least the first configuration and the second configuration.

Abstract: A device in a wireless network may process information with machine learning associated with a model ID, a machine learning function, or a machine learning use case and report data via the wireless communication based on a configuration associated with the model ID, the machine learning function, or the machine learning use case. A device may provide a configuration for machine learning associated with a model ID, a machine learning function or, a machine learning use case; and may receive a report of data based on the configuration associated with the model ID, the machine learning function, or the machine learning use case.