Abstract: Aspects described herein relate to using machine learning (ML) models for performing channel state information (CSI) encoding or decoding, CSI-reference signal (RS) optimization, channel estimation, etc. The ML models can be trained by a user equipment (UE), separately by the UE and a network node (e.g., base station), or jointly by the UE and network node.

Abstract: A terrestrial UE may receive at least one of a PEI or a paging indication based on a configuration for a search space associated with the at least one of the PEI or the paging indication and transmit a message to a network node via an aircraft-based relay node based on the at least one of the PEI or the paging indication. The relay node may transmit the at least one of the PEI or the paging indication to the terrestrial UE or receive the at least one of the PEI or the paging indication from an NTN device. The relay node may receive the message from the terrestrial UE based on the at least one of the PEI or the paging indication and relay the message to the network node after receiving the message from the terrestrial UE.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive configuration information indicating a sidelink resource pool, a time gap, and a periodicity of feedback occasions. The UE may generate feedback bits associated with multiple received sidelink messages based on the configuration information. The UE may transmit the feedback bits in a single, multi-bit feedback message according to one or more rules. In some examples, the UE may drop one or more sets of feedback bits (e.g., in the case of a collision of too many feedback messages in a single slot) based on a weighted average priority level of one or more valid feedback bits in each of multiple sets of feedback bits.

Abstract: Methods, systems, and devices for wireless communication are described. A wireless device may perform, on a set of information bits, a distribution matching procedure to obtain a distributed amplitude symbol sequence. In some cases, the wireless device may perform the distribution matching procedure using approximations of quantities of distributed amplitude symbol sequences that each have a same length and a same transmission energy. The wireless device may then encode the distributed amplitude symbol sequence and transmit the encoded distributed amplitude sequence. A device that receives the encoded distributed amplitude sequence may perform a distribution dematching procedure on the distributed amplitude sequence based on approximating quantities of distributed amplitude symbol sequences.

Abstract: Certain aspects of the present disclosure provide techniques for method for wireless communications by a network entity, generally including transmitting, to a user equipment (UE) while the network entity is deployed on an aerial platform, a periodic beam switching configuration and receiving, from the UE, a report with beam measurement results in accordance with the periodic beam switching configuration.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may generate multiple channel state information (CSI) reports that are linked together for coherent joint transmission (CJT) with multiple transmit receive points (TRPs). The UE may transmit the multiple CSI reports that are linked. Numerous other aspects are described.

Abstract: An apparatus, such as a base station, may determine channel conditions associated with at least two carriers on which communication with another apparatus is configured. The apparatus may encode a dataset into a set of protocol data units (PDUs) using fountain coding based on the channel conditions. The apparatus may send a first subset of the set of PDUs to the other apparatus on a first carrier of the at least two carriers. The apparatus may send a second subset of the set of PDUs to the other apparatus on a second carrier of the at least two carriers. Another apparatus, such as a user equipment (UE), may receive the set of PDUs from the apparatus over the at least two carriers, and may decode the set of PDUs to obtain a dataset using fountain coding.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may determine a reference location associated with an image corresponding to a target area, wherein the target area is offset from the reference location. The network node may transmit a radio frequency signal, wherein the radio frequency signal is beamformed based at least in part on the reference location to provide the radio frequency signal to the target area. Numerous other aspects are described.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may transmit an indication of micro-Doppler measurements associated with a first artificial intelligence or machine learning (AI/ML) model. The wireless communication device may receive, in association with transmitting the indication of the micro-Doppler measurements, an indication of a second AI/ML model that is an update of the first AI/ML model. The wireless communication device may transmit, in connection with using the second AI/ML model, an indication associated with object recognition. 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 receive information to update a machine learning model associated with a training iteration of the machine learning model. The UE may transmit a local loss value based at least in part on the training iteration of the machine learning model within a time window to report the local loss value for the training iteration, the time window having an ending. Numerous other aspects are described.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive from a network entity, a control message triggering the UE to provide a time-domain aperiodic channel state information (A-CSI) report for indicating time-domain channel state information (CSI) associated with CSI reference signal (CSI-RS) resources within an observation window, where a beginning of the observation window is based on when the control message is received. The UE may perform performing measurements of channel state information reference signals (CSI-RSs) received via the CSI-RS resources that occur within the observation window. The UE may then transmit, to the network entity based on the control message, the time-domain A-CSI report indicating measured time-domain CSI associated with the observation window, where the measured time-domain CSI is based on the measurements.

Abstract: Methods, apparatuses, and computer-readable medium for sidelink communications may be provided. An example method may include receiving, from a second UE, a sidelink communication. The example method may include transmitting, to the second UE based on the sidelink communication, a physical sidelink feedback channel (PSFCH), the PSFCH spanning multiple symbols in a time domain, including a set of repetitions in a frequency domain, or spanning more than one resource blocks (RBs).

Abstract: Methods, systems, and devices for wireless communications are described. Some wireless communications systems may support emergency messaging using a mobile relay. For example, a first user equipment (UE), may transmit a first emergency message indicating a request for relaying a second emergency message to one or more network entities, the first UE being out-of-coverage of a network entity. The first UE may receive, from a second UE associated with an aircraft, a feedback message in response to the first emergency message and may transmit, to the second UE, a second emergency message based on receiving the feedback message. The second UE may receive the second emergency message and transmit, over an air-to-ground wireless communications network, an indication based on the first emergency message and the second emergency message.

Abstract: The apparatus may be configured to transmit (or receive) CSI including a first CSI part (CSI part 1) having a fixed payload size and a second CSI part (CSI part 2) having a variable payload size indicated in the CSI part 1, at least one of the CSI part 1 or the CSI part 2 indicating one or more TRPs and to transmit (or receive) data in a CJT using the one or more TRPs indicated in the at least one of the CSI part 1 or the CSI part 2.

Abstract: Certain aspects of the present disclosure provide techniques for port selection for channel state feedback with analog feedforward. A method that may be performed by a user equipment (UE) includes selecting one or more channel state information reference signals (CSI-RS) ports, of a plurality of CSI-RS ports, for the UE to report CSI. The port selection includes selecting any of the plurality of CSI-RS ports for selecting CSI-RS based on a grouping of the plurality of CSI-RS ports. The UE determines a precoding matrix indicator (PMI) formed by a linear combination of the one or more selected CSI-RS ports. The UE computes at least wideband linear combination coefficients for the selected CSI-RS ports. The UE provides the selected one or more CSI-RS ports and the computed wideband linear combination coefficients to a base station (BS) in a CSI report.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for a user equipment (UE) receiving, from a base station, one or more random access channel (RACH) configurations. The RACH configurations may allocate resources for a contention-based RACH procedure for accessing a wireless network. Based on the RACH configurations, the UE may determine a set of random access occasions for an association period. From the set of random access occasions, the UE may map one or more indices of a plurality of synchronization signal blocks to one or more random access occasions. Using the one or more random access occasions, the UE may transmit a random access sequence, including one or more repetitions of the random access sequence to the base station to access the wireless network.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, the described techniques provide for a first transmission from a first device to be received at a second device. The second device may determine one or more interference parameters (e.g., a maximum allowable interference power) for receiving the first transmission from the first device, and the second device may transmit an indication of the one or more interference parameters using a full-duplex operation (e.g., using resources overlapping with resources used to receive the first transmission). The third device may receive the indication of the one or more interference parameters and determine transmission parameters (e.g., a maximum transmit power) for communicating with a fourth device based on the one or more interference parameters. The third device may transmit a second transmission to the fourth device based on the transmission parameters.

Abstract: Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for techniques for wireless communications based on orbital angular momentum (OAM) modes. One aspect provides a method for wireless communications by a first wireless node. The method generally includes transmitting traffic to a user equipment (UE) on an access link, using a first portion of a uniform circular array (UCA) antenna panel and transmitting traffic to a second wireless node on a backhaul link, using a second portion of the UCA antenna panel.

Abstract: Methods, systems, and computer program products are provided for ensemble learning. An example system includes at least one processor configured to: (i) generate a rejection region for each baseline model of a set of baseline models (ii) generate a global rejection region based on the rejection regions of each baseline model; (iii) train an ensemble machine learning model; (iv) update, based on a baseline model predictive performance metric for each baseline machine learning model, the set of baseline machine learning models; and (iv) repeat (i)-(iv) until there is a single baseline model in the set of baseline models or a predictive performance or global acceptance ratio of the ensemble model satisfies a threshold.

Abstract: An aerial device receives a timing advance configuration from a base station for sidelink communication with one or more user equipments (UEs), the timing advance configuration indicating an initial timing advance for the sidelink communication with the one or more UEs. The aerial device transmits a discovery message from the aerial device to the one or more UEs at a transmission time based on the initial timing advance relative to a reference time of a sidelink synchronization reference.