Abstract: A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: The described techniques relate to improved methods, systems, devices, and apparatuses that support interference mitigation for remote devices. A first wireless device (e.g., a base station) may detect remote interference with its communications caused by a second wireless device (e. g., a second, remote base station) based on, for example, a measured interference over thermal noise level exceeding a threshold. The first wireless device may identify a set of time-frequency resources for remote interference reference signals and a data transmission for a user equipment (UE) that is in communication with the first wireless device. The first wireless device may transmit a remote interference signal to a second wireless device (e. g., a second base station) via the set of time-frequency resources. The first wireless device may further signal a resource allocation to the UE for the UE to use for transmitting uplink transmissions to the first wireless device.

Abstract: The present invention provides a reinforcing structure and method for reinforcing valve towers, mainly aiming at valve towers with three or more layers, wherein the four corners of the side face of each layer of a valve section of the valve tower are provided with connecting flanges, and connecting rods are used for connecting the corresponding connecting flanges of adjacent valve towers of the same bridge arm to realize lateral reinforcing. The connection modes of lateral reinforcing mainly include horizontal connection, interleaving connection and cross-layer connection. The invention provides various reinforcing solutions for flexible DC valve towers in the environment of long-term turbulence and strong vibrations, the reinforcing structure is simple and effective, high in reliability and operability, and easy to disassemble, and the stability and safety of the valve towers during transportation and operation are enhanced.

Abstract: The present invention provides a reinforcing structure and method for reinforcing valve towers, mainly aiming at valve towers with three or more layers, wherein the four corners of the side face of each layer of a valve section of the valve tower are provided with connecting flanges, and connecting rods are used for connecting the corresponding connecting flanges of adjacent valve towers of the same bridge arm to realize lateral reinforcing. The connection modes of lateral reinforcing mainly include horizontal connection, interleaving connection and cross-layer connection. The invention provides various reinforcing solutions for flexible DC valve towers in the environment of long-term turbulence and strong vibrations, the reinforcing structure is simple and effective, high in reliability and operability, and easy to disassemble, and the stability and safety of the valve towers during transportation and operation are enhanced.