Abstract: Methods, systems, and devices for wireless communications are described. A first device may receive signaling associated with a traffic class from a second device. The first device may determine that the traffic class is included in a set of known traffic classes based on a set of features associated with the signaling. In response to determining that the traffic class is included in the set of known traffic classes, the first device may use a machine learning model to obtain a prediction of an application associated with the signaling. The prediction may be based on the set of features. The machine learning model may be trained at the first device or the second device. The first device may receive information associated with the machine learning model from the second device.

Abstract: Methods, systems, and devices for wireless communications are described. A first device may receive signaling associated with a traffic class from a second device. The first device may determine that the traffic class is included in a set of known traffic classes based on a set of features associated with the signaling. In response to determining that the traffic class is included in the set of known traffic classes, the first device may use a machine learning model to obtain a prediction of an application associated with the signaling. The prediction may be based on the set of features. The machine learning model may be trained at the first device or the second device. The first device may receive information associated with the machine learning model from the second device.

Abstract: Systems and processes are for measuring link metrics for a plurality of reference signals associated with a plurality of beams from a base station. The systems and methods are for determining that a link metric value is less than or equal to a predetermined threshold. The systems and process include detecting beam failure, classifying beam recovery as high priority, opportunistic beam failure recovery and performing an optimal random access channel (RACH) process through intelligent selection of beams and modules.

Abstract: A user equipment (UE) that is registered to a stand-alone non-public network (SNPN) can also access services on a public land mobile network (PLMN). The UE accesses the PLMN by transmitting a first signal to a data network, receiving a second signal from the data network in response to the first signal, wherein the second signal identifies a PLMN that is configured to be accessed by the UE via the data network and transmitting a session initiation protocol (SIP) registration request to the PLMN via the data network.

Abstract: A gun barrel assembly includes an outer casing, an inner liner and a tubular breech insert, all of which extend longitudinally from a muzzle end to a breech end. The casing is composed of a polymeric material or resin matrix material filled with carbon fibers and the liner is composed of a metal material. A muzzle end portion of the insert is disposed within the breech end portion of the casing bore. One or more structures on the breech insert muzzle end portion are interlocked with the casing breech end portion.