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.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine one or more candidate base stations for a handover procedure for the UE. The UE may transmit an indication of the one or more candidate base stations to a serving base station. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node in a radio access network (RAN) may transmit mobility history data for a user equipment (UE) to a second network node in a core network associated with the RAN. The first network node may receive a UE mobility prediction model that is based at least in part on the mobility history data from the second network node. Numerous other aspects are described.

Abstract: Certain aspects of the present disclosure provide techniques for file delivery feedback and/or application feedback for certain application services. An example method generally includes communicating files with a user equipment (UE), each of the files having a plurality of packets, determining that a delivery failure occurred for at least one of the files, and sending, to a server entity, a notification of the delivery failure.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a medium access control (MAC) control element (MAC CE) including a command to alter a configuration of the UE; identify a time to alter the configuration of the UE based at least in part on at least one of a relative time indicator, an absolute time indicator, a triggering event, or a type of the MAC CE; and implement, at the time identified for altering the configuration of the UE, the command of the MAC CE to alter the configuration of the UE. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first wireless node may transmit, to a second wireless node, a cross-link interference (CLI) management configuration message including information identifying a time division duplexing configuration of a mobile terminal of a third wireless node; and communicate with one or more wireless nodes in accordance with the time division duplexing configuration of the mobile terminal based at least in part on transmitting the CLI management configuration message to the second wireless node. Numerous other aspects are provided.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for a UE capability for AI/ML. A UE may receive a request from a network to report a UE capability for at least one of an AI procedure or an ML procedure. The UE may transmit to the network, based on the request to report the UE capability, an indication of one or more of an AI capability, an ML capability, a radio capability associated with the at least one of the AI procedure or the ML procedure, or a core network capability associated with the at least one of the AI procedure or the ML procedure.

Abstract: This disclosure provides systems, methods, and apparatus for wireless communications that support fast user equipment (UE) handover between base stations. A UE may receive, from a source base station, a configuration for reference signal transmission at a set of uplink transmit power levels. The UE may transmit multiple uplink reference signal repetitions based on the configuration. The source base station may transmit a request message to a target base station to measure the multiple uplink reference signal repetitions. The target base station may select an uplink reference signal and measure a transmit power correction. The target base station may transmit an indication to the source base station of the selection and transmit power correction. The source base station may evaluate the indications and select the target base station. The source base station may forward to the indicated contents, and the UE may switch and synchronize with the target base station.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for an ML model training procedure. A network entity may receive a trigger to activate an ML model training procedure based on at least one of an indication from an ML model repository or a protocol of the network entity. The network entity may transmit an ML model training request to activate the ML model training at one or more nodes. The one or more nodes may be associated with a RAN that may transmit, based on receiving the ML model training request, ML model training results indicative of a trained ML model. In aspects, an apparatus, such as a UE, may train the ML model based on an ML model training configuration received from the RAN, and transmit an ML model training report indicative of the trained ML model.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an update to a previously reported set of UE artificial intelligence (AI) or machine learning (ML) capabilities. The UE may receive a configuration associated with performance of UE AI or ML operations based at least in part on the update. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a source master eNodeB (MeNB) may transmit, to a target Next Generation radio access network (NG-RAN) node, a handover required message to initiate an inter-system handover from an evolved-Universal Mobile Telecommunications System (UMTS) terrestrial radio access network (E-UTRAN) New Radio (NR) dual connectivity (EN-DC) system associated with the source MeNB to an NR standalone (SA) system associated with the target NG-RAN node. The source MeNB may have an indirect path to the target NG-RAN node and a source secondary gNodeB (SgNB) may have a direct path to the target NG-RAN node. The source MeNB may transmit, to the target NG-RAN node and based at least in part on the handover required message, forwarded data via the indirect path between the source MeNB and the target NG-RAN node through a core network. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine one or more candidate base stations for a handover procedure for the UE. The UE may transmit an indication of the one or more candidate base stations to a serving base station. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a configuration indicating a plurality of semi-persistent scheduling (SPS) physical downlink shared channel (PDSCH) communications associated with a multicast service. The UE may receive, based at least in part on determining that a reception condition is satisfied, an SPS PDSCH communication of the plurality of SPS PDSCH communications. Numerous other aspects are provided.

Abstract: Wireless communications systems and methods related to mobility with consideration for network slicing are provided. In one embodiment, a user equipment (UE) transmits in a first cell frequency of a network, a request for a network slice of the network that is not provided by the first cell frequency. The UE receives, in response to the request, an information for communicating in a second cell frequency of the network that provides the requested network slice. In one embodiment, a core network entity receives, from a network entity operating over a first cell frequency of a network, a request to provide a network slice of the network to a UE, the network slice not provided by the first cell frequency. The core network entity transmits, to the BS, information associated with a second cell frequency of the network providing the network slice.

Abstract: Methods, systems, and devices for wireless communications are described. A wireless device may receive an indication of a configuration for sensing measurement parameter reporting from a base station. The sensing measurement parameter reporting may be for a sensing operation. The wireless device may perform the sensing operation and transmit an indication of a measurement parameter value to the base station. The sensing measurement parameter value may be associated with a location of the wireless device. In some examples, the wireless device may transmit the indication of the sensing measurement parameter value based on performing the sensing operation.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a notification of a change to multicast broadcast (MB) control information associated with at least one MB service to which the UE is subscribed, the MB control information being included in an MB control channel (MBCCH) scheduled by a physical downlink control channel (PDCCH) communication addressed to an MB radio network temporary identifier (MB-RNTI); and monitor one or more resources of the MBCCH to receive updated MB control information based at least in part on receiving the notification of the change to the MB control information. Numerous other aspects are provided.