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: Methods, systems, and devices for wireless communication are described. For example, the described techniques provide for a first device (e.g., a cellular modem or user equipment (UE)) mapping quality of service flows of a first radio access technology (e.g., cellular) to service classes of a second RAT (e.g., Wi-Fi). The first device may communicate mapping information that indicates the mapping to a second network device (e.g., a router). The first device and the second device may communicate various packets via the quality of service flows and the service classes.

Abstract: The present invention provides a GPS interference source positioning method, apparatus, electronic device, and readable storage medium, which relates to the technical field of wireless communications.

Abstract: A first Multi-AP device configured as a Multi-AP Agent transmits, to a second Multi-AP device configured as a Multi-AP Controller over a first communication link, a Device Provisioning Protocol (DPP) Configuration Request Message indicating multi-link operation (MLO) capabilities of the first Multi-AP device. The first Multi-AP device receives, from the second Multi-AP device over the first communication link, a DPP Configuration Response Message indicating MLO association information responsive to the indicated MLO capabilities, and establishes a backhaul path with a third Multi-AP device, configured as a second Multi-AP Agent, on the first communication link and one or more second communication links according to the MLO association information.

Abstract: Techniques related to wireless communication are disclosed. Some aspects of the disclosure relate to devices and methods for improving a quality of service (QoS) by reporting near-real-time feedback relating to a delay experienced by packets queued for transmission, and dynamically scheduling a wireless station to transmit and meet its QoS. A wireless station (STA) obtains one or more packets for transmission, the packets being associated with a delay condition. The STA outputs for transmission a delay status report that includes information relating to the delay condition associated with the one or more packets. In response, the STA obtains a resource allocation for transmission of the one or more packets according to the information relating to the delay condition. Other aspects, embodiments, and features are also claimed and described.

Abstract: Stacked semiconductor devices, and related systems and methods, are disclosed herein. In some embodiments, the stacked semiconductor device includes a package substrate and a die stack carried by the package substrate. The die stack can include at least a first semiconductor die carried by the package substrate, a second semiconductor die carried by the first semiconductor die. The first semiconductor die can have an upper surface and a first bond pad carried by the upper surface that includes a curvilinear concave depression formed in an uppermost surface of the first bond pad. The second semiconductor die has a lower surface and a second bond pad carried by the lower surface. The die stack can also include solder structure electrically coupling the first and second bond pads and at least partially filling the curvilinear concave depression formed in the uppermost surface of the first bond pad.

Abstract: The embodiments of the present application provide a method and apparatus for modulation recognition of signals based on cyclic residual network, the method comprises: obtaining a signal matrix of a to-be-recognized signal, and extracting real part information and imaginary part information of the signal matrix; generating, according to extracted real part information and imaginary part information, a real-and-imaginary-part feature matrix of the to-be-recognized signal; converting, according to a preset matrix conversion method, the real-and-imaginary-part feature matrix into an amplitude-and-phase feature matrix; and inputting the amplitude-and-phase feature matrix into a pre-trained cyclic residual network to obtain a modulation mode corresponding to the to-be-recognized signal.

Abstract: A broadband millimeter wave beam tracking method based on vehicle movement trajectory recognition, which relates to the field of wireless communication.

Abstract: Embodiments of the present invention provide a signal processing method and apparatus, a first device determines a target insertion position of a pilot sequence in a first frequency-domain signal based on the data bits in a first sub-data signal obtained by dividing data bits in a data signal, combines the pilot sequences with a second sub-data signal obtained by dividing the data signal according to the determined target insertion positions, to obtain the first frequency-domain signal; sends the pulse signal corresponding to the first frequency-domain signal to the second device.

Abstract: Embodiments of the present application provide a time allocation method, device, device, and storage medium based on an on-board device.

Abstract: Disclosed are a method and an apparatus for handover between heterogeneous networks.

Abstract: The embodiments of the present application provide a method and apparatus for modulation recognition of signals based on cyclic residual network, the method comprises: obtaining a signal matrix of a to-be-recognized signal, and extracting real part information and imaginary part information of the signal matrix; generating, according to extracted real part information and imaginary part information, a real-and-imaginary-part feature matrix of the to-be-recognized signal; converting, according to a preset matrix conversion method, the real-and-imaginary-part feature matrix into an amplitude-and-phase feature matrix; and inputting the amplitude-and-phase feature matrix into a pre-trained cyclic residual network to obtain a modulation mode corresponding to the to-be-recognized signal.

Abstract: Disclosed are a method and an apparatus for handover between heterogeneous networks.